2023-07-19 13:19:51,157 semantic_segmentation INFO: Using 1 GPUs
2023-07-19 13:19:51,157 semantic_segmentation INFO: Namespace(aux=True, batch_size=16, crop_size=[360, 360], data='./dataset/list/CamVid/', dataset='camvid', device='cuda', distributed=False, gpu_id='0,1', ignore_label=-1, kd_temperature=1.0, lambda_adv=0.0, lambda_at=0.0, lambda_csd=0.0, lambda_cwd_fea=0.0, lambda_cwd_logit=0.0, lambda_d=0.0, lambda_fitnet=0.0, lambda_ifkd=0.01, lambda_ifv=0.0, lambda_kd=1.0, lambda_psd=0.0, lambda_skd=0.0, local_rank=0, log_dir='./log/', log_iter=10, lr=0.02, max_iterations=50000, momentum=0.9, no_cuda=False, num_gpus=1, resume=None, save_dir='./log', save_epoch=10, save_per_iters=800, skip_val=False, start_epoch=0, student_backbone='resnet18', student_model='deeplabv3', student_pretrained='None', student_pretrained_base='None', teacher_backbone='resnet101', teacher_model='deeplabv3', teacher_pretrained='./deeplabv3_resnet101_camvid_best_model.pth', teacher_pretrained_base='None', val_epoch=1, val_per_iters=800, weight_decay=0.0001, workers=8)
2023-07-19 13:19:56,398 semantic_segmentation INFO: Start training, Total Iterations 50000
2023-07-19 13:20:28,516 semantic_segmentation INFO: Iters: 10/50000 || Lr: 0.019997 || Task Loss: 1.6817 || KD Loss: 0.8442|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 1.0206|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:00:32 || Estimated Time: 1 day, 19:11:57
2023-07-19 13:20:58,788 semantic_segmentation INFO: Iters: 20/50000 || Lr: 0.019993 || Task Loss: 1.3713 || KD Loss: 0.6963|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.9830|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:01:02 || Estimated Time: 1 day, 18:33:53
2023-07-19 13:21:32,261 semantic_segmentation INFO: Iters: 30/50000 || Lr: 0.019990 || Task Loss: 1.2799 || KD Loss: 0.6569|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.9178|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:01:35 || Estimated Time: 1 day, 19:51:12
2023-07-19 13:22:06,823 semantic_segmentation INFO: Iters: 40/50000 || Lr: 0.019986 || Task Loss: 1.2056 || KD Loss: 0.5086|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.8437|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:02:10 || Estimated Time: 1 day, 20:50:11
2023-07-19 13:22:41,391 semantic_segmentation INFO: Iters: 50/50000 || Lr: 0.019982 || Task Loss: 0.9902 || KD Loss: 0.4207|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.7724|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:02:44 || Estimated Time: 1 day, 21:27:46
2023-07-19 13:23:15,869 semantic_segmentation INFO: Iters: 60/50000 || Lr: 0.019979 || Task Loss: 1.0137 || KD Loss: 0.4373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.6845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:03:19 || Estimated Time: 1 day, 21:50:38
2023-07-19 13:23:50,139 semantic_segmentation INFO: Iters: 70/50000 || Lr: 0.019975 || Task Loss: 0.9634 || KD Loss: 0.4276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.6578|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:03:53 || Estimated Time: 1 day, 22:04:39
2023-07-19 13:24:24,437 semantic_segmentation INFO: Iters: 80/50000 || Lr: 0.019972 || Task Loss: 0.9394 || KD Loss: 0.4631|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.6416|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:04:28 || Estimated Time: 1 day, 22:15:46
2023-07-19 13:24:58,694 semantic_segmentation INFO: Iters: 90/50000 || Lr: 0.019968 || Task Loss: 0.9177 || KD Loss: 0.3532|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.5555|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:05:02 || Estimated Time: 1 day, 22:23:13
2023-07-19 13:25:32,901 semantic_segmentation INFO: Iters: 100/50000 || Lr: 0.019964 || Task Loss: 0.7631 || KD Loss: 0.3170|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.5522|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:05:36 || Estimated Time: 1 day, 22:28:49
2023-07-19 13:26:07,130 semantic_segmentation INFO: Iters: 110/50000 || Lr: 0.019961 || Task Loss: 0.8358 || KD Loss: 0.3520|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.5166|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:06:10 || Estimated Time: 1 day, 22:33:32
2023-07-19 13:26:40,979 semantic_segmentation INFO: Iters: 120/50000 || Lr: 0.019957 || Task Loss: 0.8046 || KD Loss: 0.3039|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4810|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:06:44 || Estimated Time: 1 day, 22:35:11
2023-07-19 13:27:15,002 semantic_segmentation INFO: Iters: 130/50000 || Lr: 0.019954 || Task Loss: 0.9151 || KD Loss: 0.3780|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:07:18 || Estimated Time: 1 day, 22:37:05
2023-07-19 13:27:48,777 semantic_segmentation INFO: Iters: 140/50000 || Lr: 0.019950 || Task Loss: 0.7996 || KD Loss: 0.4027|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.5170|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:07:52 || Estimated Time: 1 day, 22:37:20
2023-07-19 13:28:22,719 semantic_segmentation INFO: Iters: 150/50000 || Lr: 0.019946 || Task Loss: 0.8328 || KD Loss: 0.3372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4695|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:08:26 || Estimated Time: 1 day, 22:38:31
2023-07-19 13:28:56,860 semantic_segmentation INFO: Iters: 160/50000 || Lr: 0.019943 || Task Loss: 0.7846 || KD Loss: 0.3598|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4827|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:09:00 || Estimated Time: 1 day, 22:39:52
2023-07-19 13:29:30,873 semantic_segmentation INFO: Iters: 170/50000 || Lr: 0.019939 || Task Loss: 0.7308 || KD Loss: 0.2617|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:09:34 || Estimated Time: 1 day, 22:40:46
2023-07-19 13:30:05,131 semantic_segmentation INFO: Iters: 180/50000 || Lr: 0.019936 || Task Loss: 0.7158 || KD Loss: 0.2579|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3738|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:10:08 || Estimated Time: 1 day, 22:42:39
2023-07-19 13:30:39,129 semantic_segmentation INFO: Iters: 190/50000 || Lr: 0.019932 || Task Loss: 0.7818 || KD Loss: 0.3478|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4378|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:10:42 || Estimated Time: 1 day, 22:43:32
2023-07-19 13:31:12,916 semantic_segmentation INFO: Iters: 200/50000 || Lr: 0.019928 || Task Loss: 0.6530 || KD Loss: 0.2971|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4543|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:11:16 || Estimated Time: 1 day, 22:42:52
2023-07-19 13:31:46,763 semantic_segmentation INFO: Iters: 210/50000 || Lr: 0.019925 || Task Loss: 0.6577 || KD Loss: 0.2707|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:11:50 || Estimated Time: 1 day, 22:42:39
2023-07-19 13:32:20,647 semantic_segmentation INFO: Iters: 220/50000 || Lr: 0.019921 || Task Loss: 0.6334 || KD Loss: 0.2367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3773|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:12:24 || Estimated Time: 1 day, 22:42:20
2023-07-19 13:32:54,663 semantic_segmentation INFO: Iters: 230/50000 || Lr: 0.019918 || Task Loss: 0.6796 || KD Loss: 0.2792|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3767|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:12:58 || Estimated Time: 1 day, 22:42:38
2023-07-19 13:33:28,636 semantic_segmentation INFO: Iters: 240/50000 || Lr: 0.019914 || Task Loss: 0.5755 || KD Loss: 0.2525|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:13:32 || Estimated Time: 1 day, 22:42:38
2023-07-19 13:34:02,482 semantic_segmentation INFO: Iters: 250/50000 || Lr: 0.019910 || Task Loss: 0.6868 || KD Loss: 0.2596|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3574|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:14:06 || Estimated Time: 1 day, 22:42:38
2023-07-19 13:34:36,254 semantic_segmentation INFO: Iters: 260/50000 || Lr: 0.019907 || Task Loss: 0.6487 || KD Loss: 0.2670|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3698|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:14:39 || Estimated Time: 1 day, 22:41:39
2023-07-19 13:35:10,182 semantic_segmentation INFO: Iters: 270/50000 || Lr: 0.019903 || Task Loss: 0.5617 || KD Loss: 0.2117|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3225|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:15:13 || Estimated Time: 1 day, 22:41:31
2023-07-19 13:35:44,276 semantic_segmentation INFO: Iters: 280/50000 || Lr: 0.019900 || Task Loss: 0.7157 || KD Loss: 0.3158|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3712|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:15:47 || Estimated Time: 1 day, 22:41:48
2023-07-19 13:36:18,150 semantic_segmentation INFO: Iters: 290/50000 || Lr: 0.019896 || Task Loss: 0.6847 || KD Loss: 0.3508|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:16:21 || Estimated Time: 1 day, 22:41:29
2023-07-19 13:36:52,196 semantic_segmentation INFO: Iters: 300/50000 || Lr: 0.019892 || Task Loss: 0.5624 || KD Loss: 0.2492|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3466|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:16:55 || Estimated Time: 1 day, 22:41:31
2023-07-19 13:37:25,967 semantic_segmentation INFO: Iters: 310/50000 || Lr: 0.019889 || Task Loss: 0.6440 || KD Loss: 0.2826|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3503|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:17:29 || Estimated Time: 1 day, 22:40:50
2023-07-19 13:37:59,956 semantic_segmentation INFO: Iters: 320/50000 || Lr: 0.019885 || Task Loss: 0.5926 || KD Loss: 0.2571|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3583|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:18:03 || Estimated Time: 1 day, 22:40:41
2023-07-19 13:38:33,947 semantic_segmentation INFO: Iters: 330/50000 || Lr: 0.019882 || Task Loss: 0.6165 || KD Loss: 0.2225|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:18:37 || Estimated Time: 1 day, 22:40:34
2023-07-19 13:39:07,800 semantic_segmentation INFO: Iters: 340/50000 || Lr: 0.019878 || Task Loss: 0.5888 || KD Loss: 0.2318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3187|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:19:11 || Estimated Time: 1 day, 22:40:02
2023-07-19 13:39:41,912 semantic_segmentation INFO: Iters: 350/50000 || Lr: 0.019874 || Task Loss: 0.4822 || KD Loss: 0.2040|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3203|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:19:45 || Estimated Time: 1 day, 22:40:08
2023-07-19 13:40:15,721 semantic_segmentation INFO: Iters: 360/50000 || Lr: 0.019871 || Task Loss: 0.5331 || KD Loss: 0.2514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3421|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:20:19 || Estimated Time: 1 day, 22:39:32
2023-07-19 13:40:49,535 semantic_segmentation INFO: Iters: 370/50000 || Lr: 0.019867 || Task Loss: 0.6266 || KD Loss: 0.2589|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3353|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:20:53 || Estimated Time: 1 day, 22:38:53
2023-07-19 13:41:23,314 semantic_segmentation INFO: Iters: 380/50000 || Lr: 0.019864 || Task Loss: 0.4957 || KD Loss: 0.2273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3443|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:21:26 || Estimated Time: 1 day, 22:38:12
2023-07-19 13:41:57,127 semantic_segmentation INFO: Iters: 390/50000 || Lr: 0.019860 || Task Loss: 0.5908 || KD Loss: 0.2448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:22:00 || Estimated Time: 1 day, 22:37:36
2023-07-19 13:42:30,885 semantic_segmentation INFO: Iters: 400/50000 || Lr: 0.019856 || Task Loss: 0.4906 || KD Loss: 0.1940|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:22:34 || Estimated Time: 1 day, 22:36:51
2023-07-19 13:43:04,539 semantic_segmentation INFO: Iters: 410/50000 || Lr: 0.019853 || Task Loss: 0.4571 || KD Loss: 0.2088|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3281|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:23:08 || Estimated Time: 1 day, 22:36:06
2023-07-19 13:43:38,318 semantic_segmentation INFO: Iters: 420/50000 || Lr: 0.019849 || Task Loss: 0.5804 || KD Loss: 0.2271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:23:41 || Estimated Time: 1 day, 22:35:26
2023-07-19 13:44:12,074 semantic_segmentation INFO: Iters: 430/50000 || Lr: 0.019845 || Task Loss: 0.4984 || KD Loss: 0.2284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:24:15 || Estimated Time: 1 day, 22:34:34
2023-07-19 13:44:46,134 semantic_segmentation INFO: Iters: 440/50000 || Lr: 0.019842 || Task Loss: 0.5443 || KD Loss: 0.2341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:24:49 || Estimated Time: 1 day, 22:34:28
2023-07-19 13:45:19,921 semantic_segmentation INFO: Iters: 450/50000 || Lr: 0.019838 || Task Loss: 0.6468 || KD Loss: 0.1933|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2417|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:25:23 || Estimated Time: 1 day, 22:33:49
2023-07-19 13:45:53,693 semantic_segmentation INFO: Iters: 460/50000 || Lr: 0.019835 || Task Loss: 0.5059 || KD Loss: 0.2547|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3189|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:25:57 || Estimated Time: 1 day, 22:33:11
2023-07-19 13:46:27,461 semantic_segmentation INFO: Iters: 470/50000 || Lr: 0.019831 || Task Loss: 0.5471 || KD Loss: 0.2607|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3246|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:26:31 || Estimated Time: 1 day, 22:32:35
2023-07-19 13:47:01,472 semantic_segmentation INFO: Iters: 480/50000 || Lr: 0.019827 || Task Loss: 0.5200 || KD Loss: 0.2031|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2654|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:27:05 || Estimated Time: 1 day, 22:32:22
2023-07-19 13:47:35,262 semantic_segmentation INFO: Iters: 490/50000 || Lr: 0.019824 || Task Loss: 0.5227 || KD Loss: 0.2006|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2672|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:27:38 || Estimated Time: 1 day, 22:31:36
2023-07-19 13:48:08,989 semantic_segmentation INFO: Iters: 500/50000 || Lr: 0.019820 || Task Loss: 0.5111 || KD Loss: 0.1996|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2580|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:28:12 || Estimated Time: 1 day, 22:30:52
2023-07-19 13:48:42,648 semantic_segmentation INFO: Iters: 510/50000 || Lr: 0.019817 || Task Loss: 0.5287 || KD Loss: 0.2232|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:28:46 || Estimated Time: 1 day, 22:30:06
2023-07-19 13:49:16,705 semantic_segmentation INFO: Iters: 520/50000 || Lr: 0.019813 || Task Loss: 0.4758 || KD Loss: 0.2286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:29:20 || Estimated Time: 1 day, 22:29:53
2023-07-19 13:49:50,630 semantic_segmentation INFO: Iters: 530/50000 || Lr: 0.019809 || Task Loss: 0.4933 || KD Loss: 0.2299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:29:54 || Estimated Time: 1 day, 22:29:29
2023-07-19 13:50:24,411 semantic_segmentation INFO: Iters: 540/50000 || Lr: 0.019806 || Task Loss: 0.4669 || KD Loss: 0.2080|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:30:28 || Estimated Time: 1 day, 22:28:54
2023-07-19 13:50:58,163 semantic_segmentation INFO: Iters: 550/50000 || Lr: 0.019802 || Task Loss: 0.5122 || KD Loss: 0.1781|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2525|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:31:01 || Estimated Time: 1 day, 22:28:06
2023-07-19 13:51:32,006 semantic_segmentation INFO: Iters: 560/50000 || Lr: 0.019799 || Task Loss: 0.4924 || KD Loss: 0.2481|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:31:35 || Estimated Time: 1 day, 22:27:32
2023-07-19 13:52:05,591 semantic_segmentation INFO: Iters: 570/50000 || Lr: 0.019795 || Task Loss: 0.4607 || KD Loss: 0.2160|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:32:09 || Estimated Time: 1 day, 22:26:45
2023-07-19 13:52:39,181 semantic_segmentation INFO: Iters: 580/50000 || Lr: 0.019791 || Task Loss: 0.4726 || KD Loss: 0.1897|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2521|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:32:42 || Estimated Time: 1 day, 22:25:50
2023-07-19 13:53:12,989 semantic_segmentation INFO: Iters: 590/50000 || Lr: 0.019788 || Task Loss: 0.4531 || KD Loss: 0.1709|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2483|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:33:16 || Estimated Time: 1 day, 22:25:08
2023-07-19 13:53:46,934 semantic_segmentation INFO: Iters: 600/50000 || Lr: 0.019784 || Task Loss: 0.4790 || KD Loss: 0.1924|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2645|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:33:50 || Estimated Time: 1 day, 22:24:45
2023-07-19 13:54:20,932 semantic_segmentation INFO: Iters: 610/50000 || Lr: 0.019781 || Task Loss: 0.3604 || KD Loss: 0.1535|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2400|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:34:24 || Estimated Time: 1 day, 22:24:31
2023-07-19 13:54:54,809 semantic_segmentation INFO: Iters: 620/50000 || Lr: 0.019777 || Task Loss: 0.3997 || KD Loss: 0.1483|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2297|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:34:58 || Estimated Time: 1 day, 22:23:55
2023-07-19 13:55:28,755 semantic_segmentation INFO: Iters: 630/50000 || Lr: 0.019773 || Task Loss: 0.3877 || KD Loss: 0.1700|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2470|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:35:32 || Estimated Time: 1 day, 22:23:32
2023-07-19 13:56:02,568 semantic_segmentation INFO: Iters: 640/50000 || Lr: 0.019770 || Task Loss: 0.4846 || KD Loss: 0.2184|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2578|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:36:06 || Estimated Time: 1 day, 22:23:01
2023-07-19 13:56:36,459 semantic_segmentation INFO: Iters: 650/50000 || Lr: 0.019766 || Task Loss: 0.4561 || KD Loss: 0.2022|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2561|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:36:40 || Estimated Time: 1 day, 22:22:28
2023-07-19 13:57:10,241 semantic_segmentation INFO: Iters: 660/50000 || Lr: 0.019763 || Task Loss: 0.4359 || KD Loss: 0.2663|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3175|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:37:13 || Estimated Time: 1 day, 22:21:50
2023-07-19 13:57:44,124 semantic_segmentation INFO: Iters: 670/50000 || Lr: 0.019759 || Task Loss: 0.3827 || KD Loss: 0.1463|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2222|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:37:47 || Estimated Time: 1 day, 22:21:26
2023-07-19 13:58:18,452 semantic_segmentation INFO: Iters: 680/50000 || Lr: 0.019755 || Task Loss: 0.4826 || KD Loss: 0.1826|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2306|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:38:22 || Estimated Time: 1 day, 22:21:22
2023-07-19 13:58:52,279 semantic_segmentation INFO: Iters: 690/50000 || Lr: 0.019752 || Task Loss: 0.3687 || KD Loss: 0.1678|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2469|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:38:55 || Estimated Time: 1 day, 22:20:53
2023-07-19 13:59:26,092 semantic_segmentation INFO: Iters: 700/50000 || Lr: 0.019748 || Task Loss: 0.3518 || KD Loss: 0.1456|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2212|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:39:29 || Estimated Time: 1 day, 22:20:13
2023-07-19 13:59:59,817 semantic_segmentation INFO: Iters: 710/50000 || Lr: 0.019745 || Task Loss: 0.4365 || KD Loss: 0.1543|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2210|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:40:03 || Estimated Time: 1 day, 22:19:31
2023-07-19 14:00:33,700 semantic_segmentation INFO: Iters: 720/50000 || Lr: 0.019741 || Task Loss: 0.4099 || KD Loss: 0.1628|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2317|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:40:37 || Estimated Time: 1 day, 22:18:59
2023-07-19 14:01:07,393 semantic_segmentation INFO: Iters: 730/50000 || Lr: 0.019737 || Task Loss: 0.4733 || KD Loss: 0.2103|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2582|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:41:10 || Estimated Time: 1 day, 22:18:17
2023-07-19 14:01:41,102 semantic_segmentation INFO: Iters: 740/50000 || Lr: 0.019734 || Task Loss: 0.4693 || KD Loss: 0.2198|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2328|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:41:44 || Estimated Time: 1 day, 22:17:38
2023-07-19 14:02:15,077 semantic_segmentation INFO: Iters: 750/50000 || Lr: 0.019730 || Task Loss: 0.3572 || KD Loss: 0.1494|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2256|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:42:18 || Estimated Time: 1 day, 22:17:10
2023-07-19 14:02:48,783 semantic_segmentation INFO: Iters: 760/50000 || Lr: 0.019727 || Task Loss: 0.4458 || KD Loss: 0.2020|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2565|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:42:52 || Estimated Time: 1 day, 22:16:28
2023-07-19 14:03:22,603 semantic_segmentation INFO: Iters: 770/50000 || Lr: 0.019723 || Task Loss: 0.3281 || KD Loss: 0.1298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2159|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:43:26 || Estimated Time: 1 day, 22:15:53
2023-07-19 14:03:56,220 semantic_segmentation INFO: Iters: 780/50000 || Lr: 0.019719 || Task Loss: 0.4140 || KD Loss: 0.1910|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2427|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:43:59 || Estimated Time: 1 day, 22:15:11
2023-07-19 14:04:30,025 semantic_segmentation INFO: Iters: 790/50000 || Lr: 0.019716 || Task Loss: 0.4487 || KD Loss: 0.2222|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2619|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:44:33 || Estimated Time: 1 day, 22:14:31
2023-07-19 14:05:03,815 semantic_segmentation INFO: Iters: 800/50000 || Lr: 0.019712 || Task Loss: 0.4650 || KD Loss: 0.1767|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2205|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:45:07 || Estimated Time: 1 day, 22:13:56
2023-07-19 14:05:03,886 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 14:05:04,261 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.893, mIoU: 0.500
2023-07-19 14:05:04,274 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.895, mIoU: 0.502
2023-07-19 14:05:04,292 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.898, mIoU: 0.498
2023-07-19 14:05:04,305 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.901, mIoU: 0.502
2023-07-19 14:05:04,317 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.902, mIoU: 0.504
2023-07-19 14:05:04,330 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.904, mIoU: 0.504
2023-07-19 14:05:04,342 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.905, mIoU: 0.506
2023-07-19 14:05:04,354 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.905, mIoU: 0.507
2023-07-19 14:05:04,367 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.904, mIoU: 0.509
2023-07-19 14:05:04,379 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.904, mIoU: 0.511
2023-07-19 14:05:04,392 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.904, mIoU: 0.513
2023-07-19 14:05:04,405 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.904, mIoU: 0.512
2023-07-19 14:05:04,418 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.905, mIoU: 0.513
2023-07-19 14:05:04,431 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.905, mIoU: 0.514
2023-07-19 14:05:04,444 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.905, mIoU: 0.516
2023-07-19 14:05:04,457 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.905, mIoU: 0.517
2023-07-19 14:05:04,470 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.906, mIoU: 0.518
2023-07-19 14:05:04,483 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.906, mIoU: 0.519
2023-07-19 14:05:04,496 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.906, mIoU: 0.518
2023-07-19 14:05:04,509 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.905, mIoU: 0.518
2023-07-19 14:05:04,522 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.905, mIoU: 0.518
2023-07-19 14:05:04,535 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.904, mIoU: 0.517
2023-07-19 14:05:04,548 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.904, mIoU: 0.517
2023-07-19 14:05:04,561 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.903, mIoU: 0.517
2023-07-19 14:05:04,573 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.903, mIoU: 0.517
2023-07-19 14:05:04,586 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.903, mIoU: 0.518
2023-07-19 14:05:04,600 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.903, mIoU: 0.519
2023-07-19 14:05:04,613 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.903, mIoU: 0.520
2023-07-19 14:05:04,626 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.903, mIoU: 0.521
2023-07-19 14:05:04,640 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.903, mIoU: 0.521
2023-07-19 14:05:04,653 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.903, mIoU: 0.522
2023-07-19 14:05:04,666 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.903, mIoU: 0.523
2023-07-19 14:05:04,680 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.904, mIoU: 0.525
2023-07-19 14:05:04,693 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.904, mIoU: 0.526
2023-07-19 14:05:04,707 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.904, mIoU: 0.527
2023-07-19 14:05:04,720 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.903, mIoU: 0.527
2023-07-19 14:05:04,734 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.902, mIoU: 0.527
2023-07-19 14:05:04,747 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.902, mIoU: 0.527
2023-07-19 14:05:04,761 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.902, mIoU: 0.528
2023-07-19 14:05:04,774 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.902, mIoU: 0.528
2023-07-19 14:05:04,787 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.902, mIoU: 0.529
2023-07-19 14:05:04,801 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.902, mIoU: 0.530
2023-07-19 14:05:04,816 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.902, mIoU: 0.532
2023-07-19 14:05:04,830 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.902, mIoU: 0.533
2023-07-19 14:05:04,844 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.901, mIoU: 0.533
2023-07-19 14:05:04,859 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.902, mIoU: 0.535
2023-07-19 14:05:04,873 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.902, mIoU: 0.536
2023-07-19 14:05:04,887 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.902, mIoU: 0.537
2023-07-19 14:05:04,902 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.902, mIoU: 0.538
2023-07-19 14:05:04,916 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.901, mIoU: 0.539
2023-07-19 14:05:04,930 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.901, mIoU: 0.540
2023-07-19 14:05:04,945 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.900, mIoU: 0.540
2023-07-19 14:05:04,959 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.900, mIoU: 0.541
2023-07-19 14:05:04,974 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.899, mIoU: 0.542
2023-07-19 14:05:04,988 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.899, mIoU: 0.543
2023-07-19 14:05:05,002 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.899, mIoU: 0.544
2023-07-19 14:05:05,015 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.899, mIoU: 0.545
2023-07-19 14:05:05,028 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.899, mIoU: 0.546
2023-07-19 14:05:05,041 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.899, mIoU: 0.547
2023-07-19 14:05:05,055 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.898, mIoU: 0.548
2023-07-19 14:05:05,068 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.898, mIoU: 0.549
2023-07-19 14:05:05,081 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.898, mIoU: 0.550
2023-07-19 14:05:05,094 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.898, mIoU: 0.551
2023-07-19 14:05:05,108 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.897, mIoU: 0.552
2023-07-19 14:05:05,121 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.897, mIoU: 0.552
2023-07-19 14:05:05,134 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.896, mIoU: 0.553
2023-07-19 14:05:05,147 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.895, mIoU: 0.553
2023-07-19 14:05:05,160 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.895, mIoU: 0.553
2023-07-19 14:05:05,173 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.894, mIoU: 0.553
2023-07-19 14:05:05,186 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.893, mIoU: 0.554
2023-07-19 14:05:05,199 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.893, mIoU: 0.554
2023-07-19 14:05:05,212 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.892, mIoU: 0.554
2023-07-19 14:05:05,226 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.892, mIoU: 0.554
2023-07-19 14:05:05,240 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.891, mIoU: 0.553
2023-07-19 14:05:05,253 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.891, mIoU: 0.553
2023-07-19 14:05:05,267 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.890, mIoU: 0.552
2023-07-19 14:05:05,280 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.890, mIoU: 0.551
2023-07-19 14:05:05,293 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.890, mIoU: 0.551
2023-07-19 14:05:05,307 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.889, mIoU: 0.550
2023-07-19 14:05:05,320 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.889, mIoU: 0.548
2023-07-19 14:05:05,334 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.888, mIoU: 0.547
2023-07-19 14:05:05,347 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.887, mIoU: 0.546
2023-07-19 14:05:05,361 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.887, mIoU: 0.545
2023-07-19 14:05:05,374 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.886, mIoU: 0.544
2023-07-19 14:05:05,387 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.886, mIoU: 0.543
2023-07-19 14:05:05,401 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.885, mIoU: 0.542
2023-07-19 14:05:05,414 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.884, mIoU: 0.540
2023-07-19 14:05:05,428 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.884, mIoU: 0.538
2023-07-19 14:05:05,441 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.883, mIoU: 0.536
2023-07-19 14:05:05,455 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.883, mIoU: 0.535
2023-07-19 14:05:05,469 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.882, mIoU: 0.535
2023-07-19 14:05:05,483 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.882, mIoU: 0.534
2023-07-19 14:05:05,496 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.882, mIoU: 0.533
2023-07-19 14:05:05,510 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.882, mIoU: 0.533
2023-07-19 14:05:05,523 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.882, mIoU: 0.532
2023-07-19 14:05:05,537 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.881, mIoU: 0.531
2023-07-19 14:05:05,551 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.881, mIoU: 0.530
2023-07-19 14:05:05,564 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.881, mIoU: 0.529
2023-07-19 14:05:05,578 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.881, mIoU: 0.528
2023-07-19 14:05:05,591 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.880, mIoU: 0.527
2023-07-19 14:05:05,605 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.880, mIoU: 0.526
2023-07-19 14:05:39,640 semantic_segmentation INFO: Iters: 810/50000 || Lr: 0.019709 || Task Loss: 0.4057 || KD Loss: 0.1791|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2309|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:45:43 || Estimated Time: 1 day, 22:15:27
2023-07-19 14:06:13,422 semantic_segmentation INFO: Iters: 820/50000 || Lr: 0.019705 || Task Loss: 0.4048 || KD Loss: 0.1600|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:46:17 || Estimated Time: 1 day, 22:14:45
2023-07-19 14:06:47,195 semantic_segmentation INFO: Iters: 830/50000 || Lr: 0.019701 || Task Loss: 0.3913 || KD Loss: 0.1712|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2379|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:46:50 || Estimated Time: 1 day, 22:14:05
2023-07-19 14:07:20,939 semantic_segmentation INFO: Iters: 840/50000 || Lr: 0.019698 || Task Loss: 0.3533 || KD Loss: 0.1372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:47:24 || Estimated Time: 1 day, 22:13:25
2023-07-19 14:07:54,823 semantic_segmentation INFO: Iters: 850/50000 || Lr: 0.019694 || Task Loss: 0.4080 || KD Loss: 0.1824|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2340|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:47:58 || Estimated Time: 1 day, 22:12:57
2023-07-19 14:08:28,688 semantic_segmentation INFO: Iters: 860/50000 || Lr: 0.019690 || Task Loss: 0.3814 || KD Loss: 0.1388|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:48:32 || Estimated Time: 1 day, 22:12:22
2023-07-19 14:09:02,384 semantic_segmentation INFO: Iters: 870/50000 || Lr: 0.019687 || Task Loss: 0.4317 || KD Loss: 0.1794|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2205|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:49:05 || Estimated Time: 1 day, 22:11:41
2023-07-19 14:09:36,151 semantic_segmentation INFO: Iters: 880/50000 || Lr: 0.019683 || Task Loss: 0.4132 || KD Loss: 0.1669|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:49:39 || Estimated Time: 1 day, 22:10:59
2023-07-19 14:10:09,845 semantic_segmentation INFO: Iters: 890/50000 || Lr: 0.019680 || Task Loss: 0.3635 || KD Loss: 0.1435|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:50:13 || Estimated Time: 1 day, 22:10:20
2023-07-19 14:10:43,560 semantic_segmentation INFO: Iters: 900/50000 || Lr: 0.019676 || Task Loss: 0.3621 || KD Loss: 0.1318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1857|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:50:47 || Estimated Time: 1 day, 22:09:39
2023-07-19 14:11:17,585 semantic_segmentation INFO: Iters: 910/50000 || Lr: 0.019672 || Task Loss: 0.3699 || KD Loss: 0.1403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:51:21 || Estimated Time: 1 day, 22:09:11
2023-07-19 14:11:51,322 semantic_segmentation INFO: Iters: 920/50000 || Lr: 0.019669 || Task Loss: 0.4084 || KD Loss: 0.1510|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:51:54 || Estimated Time: 1 day, 22:08:32
2023-07-19 14:12:25,308 semantic_segmentation INFO: Iters: 930/50000 || Lr: 0.019665 || Task Loss: 0.3836 || KD Loss: 0.1194|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1705|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:52:28 || Estimated Time: 1 day, 22:08:05
2023-07-19 14:12:59,378 semantic_segmentation INFO: Iters: 940/50000 || Lr: 0.019662 || Task Loss: 0.3653 || KD Loss: 0.1483|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:53:02 || Estimated Time: 1 day, 22:07:46
2023-07-19 14:13:33,179 semantic_segmentation INFO: Iters: 950/50000 || Lr: 0.019658 || Task Loss: 0.3767 || KD Loss: 0.1372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1803|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:53:36 || Estimated Time: 1 day, 22:07:11
2023-07-19 14:14:06,894 semantic_segmentation INFO: Iters: 960/50000 || Lr: 0.019654 || Task Loss: 0.4300 || KD Loss: 0.1733|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:54:10 || Estimated Time: 1 day, 22:06:27
2023-07-19 14:14:40,497 semantic_segmentation INFO: Iters: 970/50000 || Lr: 0.019651 || Task Loss: 0.3507 || KD Loss: 0.1550|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2234|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:54:44 || Estimated Time: 1 day, 22:05:40
2023-07-19 14:15:14,263 semantic_segmentation INFO: Iters: 980/50000 || Lr: 0.019647 || Task Loss: 0.4124 || KD Loss: 0.1481|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:55:17 || Estimated Time: 1 day, 22:05:03
2023-07-19 14:15:47,914 semantic_segmentation INFO: Iters: 990/50000 || Lr: 0.019644 || Task Loss: 0.3659 || KD Loss: 0.1575|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:55:51 || Estimated Time: 1 day, 22:04:20
2023-07-19 14:16:21,554 semantic_segmentation INFO: Iters: 1000/50000 || Lr: 0.019640 || Task Loss: 0.3860 || KD Loss: 0.1560|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:56:25 || Estimated Time: 1 day, 22:03:39
2023-07-19 14:16:55,168 semantic_segmentation INFO: Iters: 1010/50000 || Lr: 0.019636 || Task Loss: 0.3878 || KD Loss: 0.1633|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:56:58 || Estimated Time: 1 day, 22:02:53
2023-07-19 14:17:29,088 semantic_segmentation INFO: Iters: 1020/50000 || Lr: 0.019633 || Task Loss: 0.3765 || KD Loss: 0.1446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:57:32 || Estimated Time: 1 day, 22:02:20
2023-07-19 14:18:03,200 semantic_segmentation INFO: Iters: 1030/50000 || Lr: 0.019629 || Task Loss: 0.3353 || KD Loss: 0.1510|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2194|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:58:06 || Estimated Time: 1 day, 22:02:00
2023-07-19 14:18:37,231 semantic_segmentation INFO: Iters: 1040/50000 || Lr: 0.019626 || Task Loss: 0.3388 || KD Loss: 0.1428|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2141|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:58:40 || Estimated Time: 1 day, 22:01:35
2023-07-19 14:19:11,133 semantic_segmentation INFO: Iters: 1050/50000 || Lr: 0.019622 || Task Loss: 0.3992 || KD Loss: 0.1611|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:59:14 || Estimated Time: 1 day, 22:01:04
2023-07-19 14:19:44,878 semantic_segmentation INFO: Iters: 1060/50000 || Lr: 0.019618 || Task Loss: 0.3027 || KD Loss: 0.1374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2201|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:59:48 || Estimated Time: 1 day, 22:00:29
2023-07-19 14:20:18,699 semantic_segmentation INFO: Iters: 1070/50000 || Lr: 0.019615 || Task Loss: 0.3944 || KD Loss: 0.1462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:00:22 || Estimated Time: 1 day, 21:59:51
2023-07-19 14:20:52,417 semantic_segmentation INFO: Iters: 1080/50000 || Lr: 0.019611 || Task Loss: 0.3739 || KD Loss: 0.1678|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:00:56 || Estimated Time: 1 day, 21:59:11
2023-07-19 14:21:26,040 semantic_segmentation INFO: Iters: 1090/50000 || Lr: 0.019608 || Task Loss: 0.3915 || KD Loss: 0.1501|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:01:29 || Estimated Time: 1 day, 21:58:31
2023-07-19 14:21:59,735 semantic_segmentation INFO: Iters: 1100/50000 || Lr: 0.019604 || Task Loss: 0.3543 || KD Loss: 0.1334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:02:03 || Estimated Time: 1 day, 21:57:48
2023-07-19 14:22:33,655 semantic_segmentation INFO: Iters: 1110/50000 || Lr: 0.019600 || Task Loss: 0.3365 || KD Loss: 0.1502|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:02:37 || Estimated Time: 1 day, 21:57:21
2023-07-19 14:23:07,613 semantic_segmentation INFO: Iters: 1120/50000 || Lr: 0.019597 || Task Loss: 0.3869 || KD Loss: 0.1437|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1829|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:03:11 || Estimated Time: 1 day, 21:56:48
2023-07-19 14:23:41,401 semantic_segmentation INFO: Iters: 1130/50000 || Lr: 0.019593 || Task Loss: 0.3659 || KD Loss: 0.1533|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:03:45 || Estimated Time: 1 day, 21:56:12
2023-07-19 14:24:15,187 semantic_segmentation INFO: Iters: 1140/50000 || Lr: 0.019589 || Task Loss: 0.3374 || KD Loss: 0.1137|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1702|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:04:18 || Estimated Time: 1 day, 21:55:36
2023-07-19 14:24:49,008 semantic_segmentation INFO: Iters: 1150/50000 || Lr: 0.019586 || Task Loss: 0.2959 || KD Loss: 0.1334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:04:52 || Estimated Time: 1 day, 21:55:04
2023-07-19 14:25:22,727 semantic_segmentation INFO: Iters: 1160/50000 || Lr: 0.019582 || Task Loss: 0.3130 || KD Loss: 0.1178|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1831|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:05:26 || Estimated Time: 1 day, 21:54:23
2023-07-19 14:25:56,375 semantic_segmentation INFO: Iters: 1170/50000 || Lr: 0.019579 || Task Loss: 0.3632 || KD Loss: 0.1372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1727|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:05:59 || Estimated Time: 1 day, 21:53:42
2023-07-19 14:26:30,120 semantic_segmentation INFO: Iters: 1180/50000 || Lr: 0.019575 || Task Loss: 0.3173 || KD Loss: 0.1246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1838|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:06:33 || Estimated Time: 1 day, 21:53:04
2023-07-19 14:27:03,793 semantic_segmentation INFO: Iters: 1190/50000 || Lr: 0.019571 || Task Loss: 0.3379 || KD Loss: 0.1239|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1777|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:07:07 || Estimated Time: 1 day, 21:52:26
2023-07-19 14:27:37,734 semantic_segmentation INFO: Iters: 1200/50000 || Lr: 0.019568 || Task Loss: 0.3384 || KD Loss: 0.1568|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:07:41 || Estimated Time: 1 day, 21:51:54
2023-07-19 14:28:11,480 semantic_segmentation INFO: Iters: 1210/50000 || Lr: 0.019564 || Task Loss: 0.3068 || KD Loss: 0.1247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1814|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:08:15 || Estimated Time: 1 day, 21:51:16
2023-07-19 14:28:45,175 semantic_segmentation INFO: Iters: 1220/50000 || Lr: 0.019561 || Task Loss: 0.2997 || KD Loss: 0.1146|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1791|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:08:48 || Estimated Time: 1 day, 21:50:39
2023-07-19 14:29:18,948 semantic_segmentation INFO: Iters: 1230/50000 || Lr: 0.019557 || Task Loss: 0.3011 || KD Loss: 0.1339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:09:22 || Estimated Time: 1 day, 21:50:01
2023-07-19 14:29:52,895 semantic_segmentation INFO: Iters: 1240/50000 || Lr: 0.019553 || Task Loss: 0.2976 || KD Loss: 0.1174|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1865|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:09:56 || Estimated Time: 1 day, 21:49:31
2023-07-19 14:30:26,695 semantic_segmentation INFO: Iters: 1250/50000 || Lr: 0.019550 || Task Loss: 0.3706 || KD Loss: 0.1587|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1816|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:10:30 || Estimated Time: 1 day, 21:48:56
2023-07-19 14:31:00,455 semantic_segmentation INFO: Iters: 1260/50000 || Lr: 0.019546 || Task Loss: 0.3770 || KD Loss: 0.1384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1866|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:11:04 || Estimated Time: 1 day, 21:48:20
2023-07-19 14:31:34,210 semantic_segmentation INFO: Iters: 1270/50000 || Lr: 0.019543 || Task Loss: 0.3913 || KD Loss: 0.1337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1763|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:11:37 || Estimated Time: 1 day, 21:47:43
2023-07-19 14:32:08,023 semantic_segmentation INFO: Iters: 1280/50000 || Lr: 0.019539 || Task Loss: 0.3529 || KD Loss: 0.1235|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1671|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:12:11 || Estimated Time: 1 day, 21:47:08
2023-07-19 14:32:41,881 semantic_segmentation INFO: Iters: 1290/50000 || Lr: 0.019535 || Task Loss: 0.3868 || KD Loss: 0.1611|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:12:45 || Estimated Time: 1 day, 21:46:35
2023-07-19 14:33:15,663 semantic_segmentation INFO: Iters: 1300/50000 || Lr: 0.019532 || Task Loss: 0.3905 || KD Loss: 0.1395|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1655|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:13:19 || Estimated Time: 1 day, 21:46:00
2023-07-19 14:33:49,455 semantic_segmentation INFO: Iters: 1310/50000 || Lr: 0.019528 || Task Loss: 0.3426 || KD Loss: 0.1474|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:13:53 || Estimated Time: 1 day, 21:45:24
2023-07-19 14:34:23,427 semantic_segmentation INFO: Iters: 1320/50000 || Lr: 0.019525 || Task Loss: 0.3098 || KD Loss: 0.1244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1812|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:14:27 || Estimated Time: 1 day, 21:44:55
2023-07-19 14:34:57,063 semantic_segmentation INFO: Iters: 1330/50000 || Lr: 0.019521 || Task Loss: 0.2993 || KD Loss: 0.1194|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1800|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:15:00 || Estimated Time: 1 day, 21:44:14
2023-07-19 14:35:30,654 semantic_segmentation INFO: Iters: 1340/50000 || Lr: 0.019517 || Task Loss: 0.3141 || KD Loss: 0.1088|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1657|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:15:34 || Estimated Time: 1 day, 21:43:35
2023-07-19 14:36:04,470 semantic_segmentation INFO: Iters: 1350/50000 || Lr: 0.019514 || Task Loss: 0.3316 || KD Loss: 0.1374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:16:08 || Estimated Time: 1 day, 21:43:00
2023-07-19 14:36:38,225 semantic_segmentation INFO: Iters: 1360/50000 || Lr: 0.019510 || Task Loss: 0.3745 || KD Loss: 0.1232|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1581|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:16:41 || Estimated Time: 1 day, 21:42:23
2023-07-19 14:37:11,982 semantic_segmentation INFO: Iters: 1370/50000 || Lr: 0.019506 || Task Loss: 0.3111 || KD Loss: 0.1425|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:17:15 || Estimated Time: 1 day, 21:41:45
2023-07-19 14:37:45,657 semantic_segmentation INFO: Iters: 1380/50000 || Lr: 0.019503 || Task Loss: 0.3182 || KD Loss: 0.1336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1852|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:17:49 || Estimated Time: 1 day, 21:41:07
2023-07-19 14:38:19,556 semantic_segmentation INFO: Iters: 1390/50000 || Lr: 0.019499 || Task Loss: 0.3679 || KD Loss: 0.1348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1722|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:18:23 || Estimated Time: 1 day, 21:40:34
2023-07-19 14:38:53,300 semantic_segmentation INFO: Iters: 1400/50000 || Lr: 0.019496 || Task Loss: 0.3866 || KD Loss: 0.1344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1600|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:18:56 || Estimated Time: 1 day, 21:39:58
2023-07-19 14:39:26,958 semantic_segmentation INFO: Iters: 1410/50000 || Lr: 0.019492 || Task Loss: 0.3090 || KD Loss: 0.1427|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1941|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:19:30 || Estimated Time: 1 day, 21:39:18
2023-07-19 14:40:00,590 semantic_segmentation INFO: Iters: 1420/50000 || Lr: 0.019488 || Task Loss: 0.2841 || KD Loss: 0.1174|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:20:04 || Estimated Time: 1 day, 21:38:40
2023-07-19 14:40:34,191 semantic_segmentation INFO: Iters: 1430/50000 || Lr: 0.019485 || Task Loss: 0.2969 || KD Loss: 0.1269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1802|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:20:37 || Estimated Time: 1 day, 21:37:59
2023-07-19 14:41:07,855 semantic_segmentation INFO: Iters: 1440/50000 || Lr: 0.019481 || Task Loss: 0.3003 || KD Loss: 0.1185|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1599|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:21:11 || Estimated Time: 1 day, 21:37:17
2023-07-19 14:41:41,506 semantic_segmentation INFO: Iters: 1450/50000 || Lr: 0.019478 || Task Loss: 0.2704 || KD Loss: 0.1014|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1664|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:21:45 || Estimated Time: 1 day, 21:36:37
2023-07-19 14:42:15,275 semantic_segmentation INFO: Iters: 1460/50000 || Lr: 0.019474 || Task Loss: 0.2933 || KD Loss: 0.1217|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1787|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:22:18 || Estimated Time: 1 day, 21:36:02
2023-07-19 14:42:49,047 semantic_segmentation INFO: Iters: 1470/50000 || Lr: 0.019470 || Task Loss: 0.3333 || KD Loss: 0.1231|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1679|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:22:52 || Estimated Time: 1 day, 21:35:26
2023-07-19 14:43:23,104 semantic_segmentation INFO: Iters: 1480/50000 || Lr: 0.019467 || Task Loss: 0.3123 || KD Loss: 0.1310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:23:26 || Estimated Time: 1 day, 21:35:00
2023-07-19 14:43:57,094 semantic_segmentation INFO: Iters: 1490/50000 || Lr: 0.019463 || Task Loss: 0.2951 || KD Loss: 0.1289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1810|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:24:00 || Estimated Time: 1 day, 21:34:32
2023-07-19 14:44:30,874 semantic_segmentation INFO: Iters: 1500/50000 || Lr: 0.019460 || Task Loss: 0.2877 || KD Loss: 0.1115|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1636|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:24:34 || Estimated Time: 1 day, 21:33:57
2023-07-19 14:45:04,722 semantic_segmentation INFO: Iters: 1510/50000 || Lr: 0.019456 || Task Loss: 0.3468 || KD Loss: 0.1212|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1530|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:25:08 || Estimated Time: 1 day, 21:33:26
2023-07-19 14:45:38,502 semantic_segmentation INFO: Iters: 1520/50000 || Lr: 0.019452 || Task Loss: 0.2801 || KD Loss: 0.1066|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1628|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:25:42 || Estimated Time: 1 day, 21:32:49
2023-07-19 14:46:12,229 semantic_segmentation INFO: Iters: 1530/50000 || Lr: 0.019449 || Task Loss: 0.3315 || KD Loss: 0.1216|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1602|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:26:15 || Estimated Time: 1 day, 21:32:12
2023-07-19 14:46:45,885 semantic_segmentation INFO: Iters: 1540/50000 || Lr: 0.019445 || Task Loss: 0.3357 || KD Loss: 0.1337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1566|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:26:49 || Estimated Time: 1 day, 21:31:35
2023-07-19 14:47:19,642 semantic_segmentation INFO: Iters: 1550/50000 || Lr: 0.019441 || Task Loss: 0.2608 || KD Loss: 0.1116|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1728|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:27:23 || Estimated Time: 1 day, 21:30:57
2023-07-19 14:47:53,282 semantic_segmentation INFO: Iters: 1560/50000 || Lr: 0.019438 || Task Loss: 0.3557 || KD Loss: 0.1199|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1406|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:27:56 || Estimated Time: 1 day, 21:30:18
2023-07-19 14:48:27,000 semantic_segmentation INFO: Iters: 1570/50000 || Lr: 0.019434 || Task Loss: 0.2895 || KD Loss: 0.1204|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1831|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:28:30 || Estimated Time: 1 day, 21:29:41
2023-07-19 14:49:00,643 semantic_segmentation INFO: Iters: 1580/50000 || Lr: 0.019431 || Task Loss: 0.3175 || KD Loss: 0.1436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:29:04 || Estimated Time: 1 day, 21:29:04
2023-07-19 14:49:34,360 semantic_segmentation INFO: Iters: 1590/50000 || Lr: 0.019427 || Task Loss: 0.3266 || KD Loss: 0.1379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:29:37 || Estimated Time: 1 day, 21:28:25
2023-07-19 14:50:08,039 semantic_segmentation INFO: Iters: 1600/50000 || Lr: 0.019423 || Task Loss: 0.3078 || KD Loss: 0.1386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1789|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:30:11 || Estimated Time: 1 day, 21:27:46
2023-07-19 14:50:08,124 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 14:50:08,496 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.932, mIoU: 0.567
2023-07-19 14:50:08,524 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.931, mIoU: 0.559
2023-07-19 14:50:08,536 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.930, mIoU: 0.552
2023-07-19 14:50:08,549 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.930, mIoU: 0.550
2023-07-19 14:50:08,561 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.931, mIoU: 0.550
2023-07-19 14:50:08,574 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.932, mIoU: 0.551
2023-07-19 14:50:08,586 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.933, mIoU: 0.553
2023-07-19 14:50:08,599 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.933, mIoU: 0.552
2023-07-19 14:50:08,611 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.932, mIoU: 0.553
2023-07-19 14:50:08,624 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.932, mIoU: 0.555
2023-07-19 14:50:08,637 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.931, mIoU: 0.555
2023-07-19 14:50:08,650 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.930, mIoU: 0.554
2023-07-19 14:50:08,662 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.930, mIoU: 0.555
2023-07-19 14:50:08,675 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.929, mIoU: 0.556
2023-07-19 14:50:08,688 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.929, mIoU: 0.558
2023-07-19 14:50:08,701 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.929, mIoU: 0.556
2023-07-19 14:50:08,713 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.929, mIoU: 0.556
2023-07-19 14:50:08,726 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.928, mIoU: 0.556
2023-07-19 14:50:08,739 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.927, mIoU: 0.556
2023-07-19 14:50:08,752 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.927, mIoU: 0.554
2023-07-19 14:50:08,764 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.926, mIoU: 0.554
2023-07-19 14:50:08,777 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.926, mIoU: 0.553
2023-07-19 14:50:08,790 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.925, mIoU: 0.554
2023-07-19 14:50:08,803 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.925, mIoU: 0.552
2023-07-19 14:50:08,815 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.925, mIoU: 0.552
2023-07-19 14:50:08,828 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.925, mIoU: 0.553
2023-07-19 14:50:08,841 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.925, mIoU: 0.554
2023-07-19 14:50:08,855 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.925, mIoU: 0.554
2023-07-19 14:50:08,868 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.925, mIoU: 0.555
2023-07-19 14:50:08,882 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.925, mIoU: 0.556
2023-07-19 14:50:08,896 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.925, mIoU: 0.558
2023-07-19 14:50:08,909 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.925, mIoU: 0.560
2023-07-19 14:50:08,922 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.925, mIoU: 0.562
2023-07-19 14:50:08,935 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.925, mIoU: 0.564
2023-07-19 14:50:08,948 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.925, mIoU: 0.566
2023-07-19 14:50:08,961 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.925, mIoU: 0.566
2023-07-19 14:50:08,974 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.924, mIoU: 0.566
2023-07-19 14:50:08,987 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.924, mIoU: 0.569
2023-07-19 14:50:09,000 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.924, mIoU: 0.570
2023-07-19 14:50:09,013 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.924, mIoU: 0.571
2023-07-19 14:50:09,026 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.924, mIoU: 0.572
2023-07-19 14:50:09,040 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.924, mIoU: 0.573
2023-07-19 14:50:09,054 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.924, mIoU: 0.575
2023-07-19 14:50:09,068 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.924, mIoU: 0.576
2023-07-19 14:50:09,082 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.923, mIoU: 0.576
2023-07-19 14:50:09,096 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.923, mIoU: 0.578
2023-07-19 14:50:09,110 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.923, mIoU: 0.580
2023-07-19 14:50:09,123 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.923, mIoU: 0.581
2023-07-19 14:50:09,137 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.923, mIoU: 0.582
2023-07-19 14:50:09,151 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.923, mIoU: 0.584
2023-07-19 14:50:09,165 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.922, mIoU: 0.586
2023-07-19 14:50:09,179 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.922, mIoU: 0.587
2023-07-19 14:50:09,193 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.922, mIoU: 0.589
2023-07-19 14:50:09,207 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.922, mIoU: 0.590
2023-07-19 14:50:09,220 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.921, mIoU: 0.592
2023-07-19 14:50:09,234 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.921, mIoU: 0.594
2023-07-19 14:50:09,248 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.921, mIoU: 0.596
2023-07-19 14:50:09,262 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.921, mIoU: 0.597
2023-07-19 14:50:09,276 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.921, mIoU: 0.599
2023-07-19 14:50:09,289 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.920, mIoU: 0.601
2023-07-19 14:50:09,303 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.920, mIoU: 0.603
2023-07-19 14:50:09,317 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.920, mIoU: 0.604
2023-07-19 14:50:09,330 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.919, mIoU: 0.606
2023-07-19 14:50:09,344 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.919, mIoU: 0.607
2023-07-19 14:50:09,357 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.918, mIoU: 0.609
2023-07-19 14:50:09,371 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.918, mIoU: 0.610
2023-07-19 14:50:09,385 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.918, mIoU: 0.612
2023-07-19 14:50:09,399 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.917, mIoU: 0.613
2023-07-19 14:50:09,412 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.916, mIoU: 0.615
2023-07-19 14:50:09,426 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.916, mIoU: 0.617
2023-07-19 14:50:09,440 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.915, mIoU: 0.618
2023-07-19 14:50:09,454 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.915, mIoU: 0.619
2023-07-19 14:50:09,469 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.914, mIoU: 0.619
2023-07-19 14:50:09,483 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.914, mIoU: 0.619
2023-07-19 14:50:09,497 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.914, mIoU: 0.619
2023-07-19 14:50:09,511 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.914, mIoU: 0.619
2023-07-19 14:50:09,526 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.913, mIoU: 0.619
2023-07-19 14:50:09,541 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.913, mIoU: 0.618
2023-07-19 14:50:09,555 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.913, mIoU: 0.618
2023-07-19 14:50:09,569 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.912, mIoU: 0.618
2023-07-19 14:50:09,583 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.912, mIoU: 0.618
2023-07-19 14:50:09,597 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.911, mIoU: 0.617
2023-07-19 14:50:09,612 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.911, mIoU: 0.616
2023-07-19 14:50:09,625 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.910, mIoU: 0.616
2023-07-19 14:50:09,640 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.910, mIoU: 0.615
2023-07-19 14:50:09,653 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.910, mIoU: 0.614
2023-07-19 14:50:09,667 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.909, mIoU: 0.612
2023-07-19 14:50:09,681 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.909, mIoU: 0.611
2023-07-19 14:50:09,694 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.909, mIoU: 0.610
2023-07-19 14:50:09,708 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.909, mIoU: 0.609
2023-07-19 14:50:09,721 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.909, mIoU: 0.609
2023-07-19 14:50:09,735 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.909, mIoU: 0.609
2023-07-19 14:50:09,748 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.909, mIoU: 0.609
2023-07-19 14:50:09,761 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.909, mIoU: 0.609
2023-07-19 14:50:09,774 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.909, mIoU: 0.609
2023-07-19 14:50:09,787 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.909, mIoU: 0.609
2023-07-19 14:50:09,801 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.910, mIoU: 0.609
2023-07-19 14:50:09,814 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.910, mIoU: 0.609
2023-07-19 14:50:09,827 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.910, mIoU: 0.608
2023-07-19 14:50:09,841 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.910, mIoU: 0.608
2023-07-19 14:50:09,854 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.910, mIoU: 0.607
2023-07-19 14:50:43,925 semantic_segmentation INFO: Iters: 1610/50000 || Lr: 0.019420 || Task Loss: 0.3347 || KD Loss: 0.1408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1747|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:30:47 || Estimated Time: 1 day, 21:28:16
2023-07-19 14:51:17,663 semantic_segmentation INFO: Iters: 1620/50000 || Lr: 0.019416 || Task Loss: 0.2859 || KD Loss: 0.1280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:31:21 || Estimated Time: 1 day, 21:27:40
2023-07-19 14:51:51,634 semantic_segmentation INFO: Iters: 1630/50000 || Lr: 0.019413 || Task Loss: 0.3170 || KD Loss: 0.1158|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1556|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:31:55 || Estimated Time: 1 day, 21:27:09
2023-07-19 14:52:25,571 semantic_segmentation INFO: Iters: 1640/50000 || Lr: 0.019409 || Task Loss: 0.3000 || KD Loss: 0.1197|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1564|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:32:29 || Estimated Time: 1 day, 21:26:39
2023-07-19 14:52:59,267 semantic_segmentation INFO: Iters: 1650/50000 || Lr: 0.019405 || Task Loss: 0.3259 || KD Loss: 0.1215|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1667|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:33:02 || Estimated Time: 1 day, 21:26:01
2023-07-19 14:53:33,009 semantic_segmentation INFO: Iters: 1660/50000 || Lr: 0.019402 || Task Loss: 0.3157 || KD Loss: 0.1064|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1495|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:33:36 || Estimated Time: 1 day, 21:25:26
2023-07-19 14:54:06,830 semantic_segmentation INFO: Iters: 1670/50000 || Lr: 0.019398 || Task Loss: 0.2988 || KD Loss: 0.1055|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1562|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:34:10 || Estimated Time: 1 day, 21:24:50
2023-07-19 14:54:40,536 semantic_segmentation INFO: Iters: 1680/50000 || Lr: 0.019395 || Task Loss: 0.2514 || KD Loss: 0.1093|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1829|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:34:44 || Estimated Time: 1 day, 21:24:13
2023-07-19 14:55:14,177 semantic_segmentation INFO: Iters: 1690/50000 || Lr: 0.019391 || Task Loss: 0.2637 || KD Loss: 0.1052|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1684|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:35:17 || Estimated Time: 1 day, 21:23:34
2023-07-19 14:55:47,946 semantic_segmentation INFO: Iters: 1700/50000 || Lr: 0.019387 || Task Loss: 0.3038 || KD Loss: 0.1214|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1697|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:35:51 || Estimated Time: 1 day, 21:22:58
2023-07-19 14:56:21,980 semantic_segmentation INFO: Iters: 1710/50000 || Lr: 0.019384 || Task Loss: 0.3246 || KD Loss: 0.1278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1594|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:36:25 || Estimated Time: 1 day, 21:22:33
2023-07-19 14:56:55,779 semantic_segmentation INFO: Iters: 1720/50000 || Lr: 0.019380 || Task Loss: 0.3218 || KD Loss: 0.1254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1689|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:36:59 || Estimated Time: 1 day, 21:21:58
2023-07-19 14:57:29,487 semantic_segmentation INFO: Iters: 1730/50000 || Lr: 0.019376 || Task Loss: 0.4045 || KD Loss: 0.1226|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1358|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:37:33 || Estimated Time: 1 day, 21:21:19
2023-07-19 14:58:03,267 semantic_segmentation INFO: Iters: 1740/50000 || Lr: 0.019373 || Task Loss: 0.2983 || KD Loss: 0.1247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1719|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:38:06 || Estimated Time: 1 day, 21:20:44
2023-07-19 14:58:36,925 semantic_segmentation INFO: Iters: 1750/50000 || Lr: 0.019369 || Task Loss: 0.3406 || KD Loss: 0.1752|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:38:40 || Estimated Time: 1 day, 21:20:07
2023-07-19 14:59:10,670 semantic_segmentation INFO: Iters: 1760/50000 || Lr: 0.019366 || Task Loss: 0.2491 || KD Loss: 0.1073|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1698|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:39:14 || Estimated Time: 1 day, 21:19:29
2023-07-19 14:59:44,335 semantic_segmentation INFO: Iters: 1770/50000 || Lr: 0.019362 || Task Loss: 0.2425 || KD Loss: 0.0935|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1654|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:39:47 || Estimated Time: 1 day, 21:18:52
2023-07-19 15:00:18,266 semantic_segmentation INFO: Iters: 1780/50000 || Lr: 0.019358 || Task Loss: 0.2308 || KD Loss: 0.1036|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1613|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:40:21 || Estimated Time: 1 day, 21:18:20
2023-07-19 15:00:52,028 semantic_segmentation INFO: Iters: 1790/50000 || Lr: 0.019355 || Task Loss: 0.2698 || KD Loss: 0.1252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:40:55 || Estimated Time: 1 day, 21:17:44
2023-07-19 15:01:25,892 semantic_segmentation INFO: Iters: 1800/50000 || Lr: 0.019351 || Task Loss: 0.2886 || KD Loss: 0.1154|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1810|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:41:29 || Estimated Time: 1 day, 21:17:12
2023-07-19 15:01:59,689 semantic_segmentation INFO: Iters: 1810/50000 || Lr: 0.019348 || Task Loss: 0.2984 || KD Loss: 0.1132|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1573|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:42:03 || Estimated Time: 1 day, 21:16:37
2023-07-19 15:02:33,291 semantic_segmentation INFO: Iters: 1820/50000 || Lr: 0.019344 || Task Loss: 0.2706 || KD Loss: 0.0957|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1473|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:42:36 || Estimated Time: 1 day, 21:15:59
2023-07-19 15:03:07,038 semantic_segmentation INFO: Iters: 1830/50000 || Lr: 0.019340 || Task Loss: 0.2979 || KD Loss: 0.1034|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1479|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:43:10 || Estimated Time: 1 day, 21:15:22
2023-07-19 15:03:40,651 semantic_segmentation INFO: Iters: 1840/50000 || Lr: 0.019337 || Task Loss: 0.3197 || KD Loss: 0.1135|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1541|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:43:44 || Estimated Time: 1 day, 21:14:44
2023-07-19 15:04:14,464 semantic_segmentation INFO: Iters: 1850/50000 || Lr: 0.019333 || Task Loss: 0.3145 || KD Loss: 0.1079|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1462|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:44:18 || Estimated Time: 1 day, 21:14:08
2023-07-19 15:04:48,205 semantic_segmentation INFO: Iters: 1860/50000 || Lr: 0.019329 || Task Loss: 0.2287 || KD Loss: 0.1102|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1841|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:44:51 || Estimated Time: 1 day, 21:13:32
2023-07-19 15:05:22,311 semantic_segmentation INFO: Iters: 1870/50000 || Lr: 0.019326 || Task Loss: 0.2948 || KD Loss: 0.1156|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1642|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:45:25 || Estimated Time: 1 day, 21:13:06
2023-07-19 15:05:56,578 semantic_segmentation INFO: Iters: 1880/50000 || Lr: 0.019322 || Task Loss: 0.2695 || KD Loss: 0.1170|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1672|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:46:00 || Estimated Time: 1 day, 21:12:43
2023-07-19 15:06:30,444 semantic_segmentation INFO: Iters: 1890/50000 || Lr: 0.019319 || Task Loss: 0.2664 || KD Loss: 0.0977|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1554|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:46:34 || Estimated Time: 1 day, 21:12:13
2023-07-19 15:07:04,209 semantic_segmentation INFO: Iters: 1900/50000 || Lr: 0.019315 || Task Loss: 0.2520 || KD Loss: 0.1157|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1803|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:47:07 || Estimated Time: 1 day, 21:11:37
2023-07-19 15:07:37,971 semantic_segmentation INFO: Iters: 1910/50000 || Lr: 0.019311 || Task Loss: 0.2834 || KD Loss: 0.1238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1706|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:47:41 || Estimated Time: 1 day, 21:11:00
2023-07-19 15:08:11,765 semantic_segmentation INFO: Iters: 1920/50000 || Lr: 0.019308 || Task Loss: 0.2935 || KD Loss: 0.1038|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1576|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:48:15 || Estimated Time: 1 day, 21:10:25
2023-07-19 15:08:45,735 semantic_segmentation INFO: Iters: 1930/50000 || Lr: 0.019304 || Task Loss: 0.3237 || KD Loss: 0.1553|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:48:49 || Estimated Time: 1 day, 21:09:55
2023-07-19 15:09:19,404 semantic_segmentation INFO: Iters: 1940/50000 || Lr: 0.019301 || Task Loss: 0.3293 || KD Loss: 0.1118|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1331|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:49:23 || Estimated Time: 1 day, 21:09:19
2023-07-19 15:09:53,196 semantic_segmentation INFO: Iters: 1950/50000 || Lr: 0.019297 || Task Loss: 0.3267 || KD Loss: 0.1422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:49:56 || Estimated Time: 1 day, 21:08:44
2023-07-19 15:10:26,983 semantic_segmentation INFO: Iters: 1960/50000 || Lr: 0.019293 || Task Loss: 0.2663 || KD Loss: 0.1015|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1470|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:50:30 || Estimated Time: 1 day, 21:08:10
2023-07-19 15:11:00,789 semantic_segmentation INFO: Iters: 1970/50000 || Lr: 0.019290 || Task Loss: 0.3492 || KD Loss: 0.1240|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1504|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:51:04 || Estimated Time: 1 day, 21:07:34
2023-07-19 15:11:34,579 semantic_segmentation INFO: Iters: 1980/50000 || Lr: 0.019286 || Task Loss: 0.2771 || KD Loss: 0.1102|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1526|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:51:38 || Estimated Time: 1 day, 21:06:59
2023-07-19 15:12:08,243 semantic_segmentation INFO: Iters: 1990/50000 || Lr: 0.019283 || Task Loss: 0.2903 || KD Loss: 0.1016|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1490|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:52:11 || Estimated Time: 1 day, 21:06:22
2023-07-19 15:12:42,117 semantic_segmentation INFO: Iters: 2000/50000 || Lr: 0.019279 || Task Loss: 0.3205 || KD Loss: 0.1135|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1447|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:52:45 || Estimated Time: 1 day, 21:05:49
2023-07-19 15:13:15,984 semantic_segmentation INFO: Iters: 2010/50000 || Lr: 0.019275 || Task Loss: 0.2524 || KD Loss: 0.0974|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1532|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:53:19 || Estimated Time: 1 day, 21:05:16
2023-07-19 15:13:49,751 semantic_segmentation INFO: Iters: 2020/50000 || Lr: 0.019272 || Task Loss: 0.2692 || KD Loss: 0.0992|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1654|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:53:53 || Estimated Time: 1 day, 21:04:41
2023-07-19 15:14:23,544 semantic_segmentation INFO: Iters: 2030/50000 || Lr: 0.019268 || Task Loss: 0.2340 || KD Loss: 0.0935|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1549|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:54:27 || Estimated Time: 1 day, 21:04:08
2023-07-19 15:14:57,329 semantic_segmentation INFO: Iters: 2040/50000 || Lr: 0.019264 || Task Loss: 0.2802 || KD Loss: 0.1176|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1701|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:55:00 || Estimated Time: 1 day, 21:03:34
2023-07-19 15:15:31,096 semantic_segmentation INFO: Iters: 2050/50000 || Lr: 0.019261 || Task Loss: 0.2440 || KD Loss: 0.1069|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1676|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:55:34 || Estimated Time: 1 day, 21:02:57
2023-07-19 15:16:05,066 semantic_segmentation INFO: Iters: 2060/50000 || Lr: 0.019257 || Task Loss: 0.2849 || KD Loss: 0.1114|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1508|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:56:08 || Estimated Time: 1 day, 21:02:26
2023-07-19 15:16:39,268 semantic_segmentation INFO: Iters: 2070/50000 || Lr: 0.019254 || Task Loss: 0.2642 || KD Loss: 0.0920|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1390|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:56:42 || Estimated Time: 1 day, 21:02:01
2023-07-19 15:17:13,515 semantic_segmentation INFO: Iters: 2080/50000 || Lr: 0.019250 || Task Loss: 0.2655 || KD Loss: 0.0972|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1535|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:57:17 || Estimated Time: 1 day, 21:01:37
2023-07-19 15:17:47,513 semantic_segmentation INFO: Iters: 2090/50000 || Lr: 0.019246 || Task Loss: 0.2642 || KD Loss: 0.1079|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1469|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:57:51 || Estimated Time: 1 day, 21:01:09
2023-07-19 15:18:21,505 semantic_segmentation INFO: Iters: 2100/50000 || Lr: 0.019243 || Task Loss: 0.2822 || KD Loss: 0.0896|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1332|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:58:25 || Estimated Time: 1 day, 21:00:39
2023-07-19 15:18:55,395 semantic_segmentation INFO: Iters: 2110/50000 || Lr: 0.019239 || Task Loss: 0.2814 || KD Loss: 0.1063|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1604|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:58:58 || Estimated Time: 1 day, 21:00:05
2023-07-19 15:19:29,245 semantic_segmentation INFO: Iters: 2120/50000 || Lr: 0.019236 || Task Loss: 0.2762 || KD Loss: 0.1138|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1647|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:59:32 || Estimated Time: 1 day, 20:59:31
2023-07-19 15:20:03,006 semantic_segmentation INFO: Iters: 2130/50000 || Lr: 0.019232 || Task Loss: 0.2554 || KD Loss: 0.0900|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1492|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:00:06 || Estimated Time: 1 day, 20:58:56
2023-07-19 15:20:36,670 semantic_segmentation INFO: Iters: 2140/50000 || Lr: 0.019228 || Task Loss: 0.2863 || KD Loss: 0.1019|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1462|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:00:40 || Estimated Time: 1 day, 20:58:20
2023-07-19 15:21:10,439 semantic_segmentation INFO: Iters: 2150/50000 || Lr: 0.019225 || Task Loss: 0.2810 || KD Loss: 0.1200|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1633|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:01:14 || Estimated Time: 1 day, 20:57:45
2023-07-19 15:21:44,179 semantic_segmentation INFO: Iters: 2160/50000 || Lr: 0.019221 || Task Loss: 0.2659 || KD Loss: 0.0902|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1466|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:01:47 || Estimated Time: 1 day, 20:57:08
2023-07-19 15:22:17,841 semantic_segmentation INFO: Iters: 2170/50000 || Lr: 0.019217 || Task Loss: 0.2802 || KD Loss: 0.0930|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1413|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:02:21 || Estimated Time: 1 day, 20:56:30
2023-07-19 15:22:51,564 semantic_segmentation INFO: Iters: 2180/50000 || Lr: 0.019214 || Task Loss: 0.2507 || KD Loss: 0.0942|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1491|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:02:55 || Estimated Time: 1 day, 20:55:54
2023-07-19 15:23:25,353 semantic_segmentation INFO: Iters: 2190/50000 || Lr: 0.019210 || Task Loss: 0.2290 || KD Loss: 0.1084|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1714|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:03:28 || Estimated Time: 1 day, 20:55:20
2023-07-19 15:23:59,178 semantic_segmentation INFO: Iters: 2200/50000 || Lr: 0.019207 || Task Loss: 0.2481 || KD Loss: 0.0949|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1500|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:04:02 || Estimated Time: 1 day, 20:54:46
2023-07-19 15:24:33,196 semantic_segmentation INFO: Iters: 2210/50000 || Lr: 0.019203 || Task Loss: 0.2410 || KD Loss: 0.0887|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1556|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:04:36 || Estimated Time: 1 day, 20:54:17
2023-07-19 15:25:07,175 semantic_segmentation INFO: Iters: 2220/50000 || Lr: 0.019199 || Task Loss: 0.2670 || KD Loss: 0.0913|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1467|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:05:10 || Estimated Time: 1 day, 20:53:45
2023-07-19 15:25:40,935 semantic_segmentation INFO: Iters: 2230/50000 || Lr: 0.019196 || Task Loss: 0.2419 || KD Loss: 0.0775|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1363|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:05:44 || Estimated Time: 1 day, 20:53:10
2023-07-19 15:26:14,733 semantic_segmentation INFO: Iters: 2240/50000 || Lr: 0.019192 || Task Loss: 0.2884 || KD Loss: 0.0958|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1433|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:06:18 || Estimated Time: 1 day, 20:52:36
2023-07-19 15:26:48,399 semantic_segmentation INFO: Iters: 2250/50000 || Lr: 0.019189 || Task Loss: 0.2967 || KD Loss: 0.0973|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1460|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:06:52 || Estimated Time: 1 day, 20:52:00
2023-07-19 15:27:22,360 semantic_segmentation INFO: Iters: 2260/50000 || Lr: 0.019185 || Task Loss: 0.2722 || KD Loss: 0.1300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1769|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:07:25 || Estimated Time: 1 day, 20:51:28
2023-07-19 15:27:56,453 semantic_segmentation INFO: Iters: 2270/50000 || Lr: 0.019181 || Task Loss: 0.2870 || KD Loss: 0.1089|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1549|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:08:00 || Estimated Time: 1 day, 20:50:59
2023-07-19 15:28:30,563 semantic_segmentation INFO: Iters: 2280/50000 || Lr: 0.019178 || Task Loss: 0.2785 || KD Loss: 0.0953|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1415|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:08:34 || Estimated Time: 1 day, 20:50:31
2023-07-19 15:29:04,567 semantic_segmentation INFO: Iters: 2290/50000 || Lr: 0.019174 || Task Loss: 0.2518 || KD Loss: 0.0977|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1552|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:09:08 || Estimated Time: 1 day, 20:50:01
2023-07-19 15:29:38,683 semantic_segmentation INFO: Iters: 2300/50000 || Lr: 0.019170 || Task Loss: 0.2487 || KD Loss: 0.0963|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1585|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:09:42 || Estimated Time: 1 day, 20:49:34
2023-07-19 15:30:12,511 semantic_segmentation INFO: Iters: 2310/50000 || Lr: 0.019167 || Task Loss: 0.2944 || KD Loss: 0.0883|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1240|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:10:16 || Estimated Time: 1 day, 20:49:00
2023-07-19 15:30:46,334 semantic_segmentation INFO: Iters: 2320/50000 || Lr: 0.019163 || Task Loss: 0.2590 || KD Loss: 0.0844|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1430|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:10:49 || Estimated Time: 1 day, 20:48:26
2023-07-19 15:31:20,174 semantic_segmentation INFO: Iters: 2330/50000 || Lr: 0.019160 || Task Loss: 0.2592 || KD Loss: 0.0913|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1407|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:11:23 || Estimated Time: 1 day, 20:47:52
2023-07-19 15:31:53,993 semantic_segmentation INFO: Iters: 2340/50000 || Lr: 0.019156 || Task Loss: 0.2277 || KD Loss: 0.0925|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1518|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:11:57 || Estimated Time: 1 day, 20:47:19
2023-07-19 15:32:27,714 semantic_segmentation INFO: Iters: 2350/50000 || Lr: 0.019152 || Task Loss: 0.2628 || KD Loss: 0.1002|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1417|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:12:31 || Estimated Time: 1 day, 20:46:42
2023-07-19 15:33:01,669 semantic_segmentation INFO: Iters: 2360/50000 || Lr: 0.019149 || Task Loss: 0.2566 || KD Loss: 0.0879|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1326|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:13:05 || Estimated Time: 1 day, 20:46:11
2023-07-19 15:33:35,510 semantic_segmentation INFO: Iters: 2370/50000 || Lr: 0.019145 || Task Loss: 0.2529 || KD Loss: 0.0990|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1485|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:13:39 || Estimated Time: 1 day, 20:45:37
2023-07-19 15:34:09,509 semantic_segmentation INFO: Iters: 2380/50000 || Lr: 0.019141 || Task Loss: 0.2245 || KD Loss: 0.0843|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1456|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:14:13 || Estimated Time: 1 day, 20:45:07
2023-07-19 15:34:43,674 semantic_segmentation INFO: Iters: 2390/50000 || Lr: 0.019138 || Task Loss: 0.2518 || KD Loss: 0.0999|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1598|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:14:47 || Estimated Time: 1 day, 20:44:39
2023-07-19 15:35:17,868 semantic_segmentation INFO: Iters: 2400/50000 || Lr: 0.019134 || Task Loss: 0.2531 || KD Loss: 0.0907|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1395|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:15:21 || Estimated Time: 1 day, 20:44:12
2023-07-19 15:35:17,942 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 15:35:18,307 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.933, mIoU: 0.575
2023-07-19 15:35:18,335 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.933, mIoU: 0.570
2023-07-19 15:35:18,348 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.931, mIoU: 0.562
2023-07-19 15:35:18,360 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.932, mIoU: 0.562
2023-07-19 15:35:18,372 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.933, mIoU: 0.565
2023-07-19 15:35:18,384 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.934, mIoU: 0.567
2023-07-19 15:35:18,396 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.934, mIoU: 0.569
2023-07-19 15:35:18,408 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.934, mIoU: 0.570
2023-07-19 15:35:18,420 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.934, mIoU: 0.571
2023-07-19 15:35:18,432 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.934, mIoU: 0.575
2023-07-19 15:35:18,444 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.934, mIoU: 0.577
2023-07-19 15:35:18,456 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.933, mIoU: 0.577
2023-07-19 15:35:18,468 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.934, mIoU: 0.579
2023-07-19 15:35:18,480 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.934, mIoU: 0.581
2023-07-19 15:35:18,492 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.934, mIoU: 0.583
2023-07-19 15:35:18,504 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.934, mIoU: 0.583
2023-07-19 15:35:18,516 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.934, mIoU: 0.583
2023-07-19 15:35:18,528 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.934, mIoU: 0.583
2023-07-19 15:35:18,541 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.933, mIoU: 0.582
2023-07-19 15:35:18,553 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.932, mIoU: 0.581
2023-07-19 15:35:18,565 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.932, mIoU: 0.582
2023-07-19 15:35:18,577 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.932, mIoU: 0.581
2023-07-19 15:35:18,589 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.931, mIoU: 0.581
2023-07-19 15:35:18,601 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.931, mIoU: 0.580
2023-07-19 15:35:18,614 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.931, mIoU: 0.580
2023-07-19 15:35:18,626 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.931, mIoU: 0.581
2023-07-19 15:35:18,638 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.931, mIoU: 0.582
2023-07-19 15:35:18,650 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.931, mIoU: 0.582
2023-07-19 15:35:18,663 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.931, mIoU: 0.583
2023-07-19 15:35:18,675 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.931, mIoU: 0.584
2023-07-19 15:35:18,687 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.932, mIoU: 0.586
2023-07-19 15:35:18,699 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.932, mIoU: 0.588
2023-07-19 15:35:18,711 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.932, mIoU: 0.590
2023-07-19 15:35:18,723 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.933, mIoU: 0.591
2023-07-19 15:35:18,737 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.933, mIoU: 0.592
2023-07-19 15:35:18,750 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.932, mIoU: 0.592
2023-07-19 15:35:18,762 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.931, mIoU: 0.592
2023-07-19 15:35:18,775 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.931, mIoU: 0.594
2023-07-19 15:35:18,788 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.932, mIoU: 0.596
2023-07-19 15:35:18,801 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.932, mIoU: 0.597
2023-07-19 15:35:18,813 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.932, mIoU: 0.598
2023-07-19 15:35:18,826 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.932, mIoU: 0.600
2023-07-19 15:35:18,839 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.932, mIoU: 0.601
2023-07-19 15:35:18,851 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.932, mIoU: 0.603
2023-07-19 15:35:18,864 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.931, mIoU: 0.603
2023-07-19 15:35:18,877 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.931, mIoU: 0.605
2023-07-19 15:35:18,889 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.931, mIoU: 0.607
2023-07-19 15:35:18,902 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.931, mIoU: 0.609
2023-07-19 15:35:18,915 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.931, mIoU: 0.610
2023-07-19 15:35:18,928 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.931, mIoU: 0.612
2023-07-19 15:35:18,941 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.930, mIoU: 0.613
2023-07-19 15:35:18,955 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.930, mIoU: 0.614
2023-07-19 15:35:18,968 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.930, mIoU: 0.616
2023-07-19 15:35:18,982 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.929, mIoU: 0.617
2023-07-19 15:35:18,995 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.929, mIoU: 0.618
2023-07-19 15:35:19,009 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.929, mIoU: 0.619
2023-07-19 15:35:19,022 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.928, mIoU: 0.621
2023-07-19 15:35:19,035 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.928, mIoU: 0.622
2023-07-19 15:35:19,049 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.928, mIoU: 0.623
2023-07-19 15:35:19,062 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.928, mIoU: 0.624
2023-07-19 15:35:19,076 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.927, mIoU: 0.626
2023-07-19 15:35:19,089 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.927, mIoU: 0.626
2023-07-19 15:35:19,103 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.927, mIoU: 0.627
2023-07-19 15:35:19,116 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.926, mIoU: 0.628
2023-07-19 15:35:19,129 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.925, mIoU: 0.628
2023-07-19 15:35:19,143 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.925, mIoU: 0.629
2023-07-19 15:35:19,157 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.924, mIoU: 0.630
2023-07-19 15:35:19,171 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.923, mIoU: 0.631
2023-07-19 15:35:19,184 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.923, mIoU: 0.632
2023-07-19 15:35:19,198 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.922, mIoU: 0.633
2023-07-19 15:35:19,212 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.922, mIoU: 0.633
2023-07-19 15:35:19,225 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.921, mIoU: 0.633
2023-07-19 15:35:19,239 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.920, mIoU: 0.633
2023-07-19 15:35:19,253 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.920, mIoU: 0.632
2023-07-19 15:35:19,267 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.919, mIoU: 0.632
2023-07-19 15:35:19,280 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.919, mIoU: 0.631
2023-07-19 15:35:19,294 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.918, mIoU: 0.630
2023-07-19 15:35:19,308 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.918, mIoU: 0.629
2023-07-19 15:35:19,321 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.917, mIoU: 0.629
2023-07-19 15:35:19,335 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.917, mIoU: 0.628
2023-07-19 15:35:19,349 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.916, mIoU: 0.627
2023-07-19 15:35:19,363 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.915, mIoU: 0.625
2023-07-19 15:35:19,377 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.914, mIoU: 0.624
2023-07-19 15:35:19,391 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.914, mIoU: 0.622
2023-07-19 15:35:19,405 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.913, mIoU: 0.620
2023-07-19 15:35:19,419 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.913, mIoU: 0.619
2023-07-19 15:35:19,433 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.912, mIoU: 0.617
2023-07-19 15:35:19,447 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.912, mIoU: 0.616
2023-07-19 15:35:19,462 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.912, mIoU: 0.614
2023-07-19 15:35:19,476 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.911, mIoU: 0.613
2023-07-19 15:35:19,490 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.911, mIoU: 0.612
2023-07-19 15:35:19,504 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.912, mIoU: 0.612
2023-07-19 15:35:19,518 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.912, mIoU: 0.612
2023-07-19 15:35:19,533 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.912, mIoU: 0.612
2023-07-19 15:35:19,546 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.912, mIoU: 0.612
2023-07-19 15:35:19,560 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.913, mIoU: 0.611
2023-07-19 15:35:19,574 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.913, mIoU: 0.611
2023-07-19 15:35:19,588 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.913, mIoU: 0.611
2023-07-19 15:35:19,602 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.913, mIoU: 0.610
2023-07-19 15:35:19,616 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.913, mIoU: 0.609
2023-07-19 15:35:19,630 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.913, mIoU: 0.609
2023-07-19 15:35:53,901 semantic_segmentation INFO: Iters: 2410/50000 || Lr: 0.019131 || Task Loss: 0.2536 || KD Loss: 0.0943|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1439|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:15:57 || Estimated Time: 1 day, 20:44:22
2023-07-19 15:36:27,574 semantic_segmentation INFO: Iters: 2420/50000 || Lr: 0.019127 || Task Loss: 0.2642 || KD Loss: 0.1027|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1494|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:16:31 || Estimated Time: 1 day, 20:43:46
2023-07-19 15:37:01,375 semantic_segmentation INFO: Iters: 2430/50000 || Lr: 0.019123 || Task Loss: 0.2885 || KD Loss: 0.1034|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1455|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:17:04 || Estimated Time: 1 day, 20:43:11
2023-07-19 15:37:35,164 semantic_segmentation INFO: Iters: 2440/50000 || Lr: 0.019120 || Task Loss: 0.2227 || KD Loss: 0.0820|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1397|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:17:38 || Estimated Time: 1 day, 20:42:35
2023-07-19 15:38:09,041 semantic_segmentation INFO: Iters: 2450/50000 || Lr: 0.019116 || Task Loss: 0.2795 || KD Loss: 0.1064|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1477|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:18:12 || Estimated Time: 1 day, 20:42:02
2023-07-19 15:38:42,893 semantic_segmentation INFO: Iters: 2460/50000 || Lr: 0.019113 || Task Loss: 0.2807 || KD Loss: 0.0996|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1384|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:18:46 || Estimated Time: 1 day, 20:41:28
2023-07-19 15:39:16,740 semantic_segmentation INFO: Iters: 2470/50000 || Lr: 0.019109 || Task Loss: 0.2120 || KD Loss: 0.0848|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1447|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:19:20 || Estimated Time: 1 day, 20:40:56
2023-07-19 15:39:50,889 semantic_segmentation INFO: Iters: 2480/50000 || Lr: 0.019105 || Task Loss: 0.2314 || KD Loss: 0.0915|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1441|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:19:54 || Estimated Time: 1 day, 20:40:26
2023-07-19 15:40:25,137 semantic_segmentation INFO: Iters: 2490/50000 || Lr: 0.019102 || Task Loss: 0.2422 || KD Loss: 0.0855|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1413|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:20:28 || Estimated Time: 1 day, 20:40:00
2023-07-19 15:40:59,192 semantic_segmentation INFO: Iters: 2500/50000 || Lr: 0.019098 || Task Loss: 0.2347 || KD Loss: 0.0940|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1566|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:21:02 || Estimated Time: 1 day, 20:39:31
2023-07-19 15:41:33,051 semantic_segmentation INFO: Iters: 2510/50000 || Lr: 0.019094 || Task Loss: 0.2655 || KD Loss: 0.0922|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1507|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:21:36 || Estimated Time: 1 day, 20:38:57
2023-07-19 15:42:06,871 semantic_segmentation INFO: Iters: 2520/50000 || Lr: 0.019091 || Task Loss: 0.2161 || KD Loss: 0.0917|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1658|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:22:10 || Estimated Time: 1 day, 20:38:23
2023-07-19 15:42:40,868 semantic_segmentation INFO: Iters: 2530/50000 || Lr: 0.019087 || Task Loss: 0.1931 || KD Loss: 0.0961|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1551|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:22:44 || Estimated Time: 1 day, 20:37:52
2023-07-19 15:43:14,680 semantic_segmentation INFO: Iters: 2540/50000 || Lr: 0.019084 || Task Loss: 0.2726 || KD Loss: 0.1047|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1413|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:23:18 || Estimated Time: 1 day, 20:37:17
2023-07-19 15:43:48,482 semantic_segmentation INFO: Iters: 2550/50000 || Lr: 0.019080 || Task Loss: 0.2703 || KD Loss: 0.1069|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1620|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:23:52 || Estimated Time: 1 day, 20:36:42
2023-07-19 15:44:22,684 semantic_segmentation INFO: Iters: 2560/50000 || Lr: 0.019076 || Task Loss: 0.2230 || KD Loss: 0.0803|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1415|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:24:26 || Estimated Time: 1 day, 20:36:15
2023-07-19 15:44:56,910 semantic_segmentation INFO: Iters: 2570/50000 || Lr: 0.019073 || Task Loss: 0.3035 || KD Loss: 0.0867|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1181|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:25:00 || Estimated Time: 1 day, 20:35:48
2023-07-19 15:45:30,695 semantic_segmentation INFO: Iters: 2580/50000 || Lr: 0.019069 || Task Loss: 0.2554 || KD Loss: 0.1085|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1639|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:25:34 || Estimated Time: 1 day, 20:35:15
2023-07-19 15:46:04,638 semantic_segmentation INFO: Iters: 2590/50000 || Lr: 0.019065 || Task Loss: 0.2432 || KD Loss: 0.1041|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1680|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:26:08 || Estimated Time: 1 day, 20:34:41
2023-07-19 15:46:38,681 semantic_segmentation INFO: Iters: 2600/50000 || Lr: 0.019062 || Task Loss: 0.2204 || KD Loss: 0.0962|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1550|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:26:42 || Estimated Time: 1 day, 20:34:10
2023-07-19 15:47:12,625 semantic_segmentation INFO: Iters: 2610/50000 || Lr: 0.019058 || Task Loss: 0.2204 || KD Loss: 0.0825|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1405|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:27:16 || Estimated Time: 1 day, 20:33:39
2023-07-19 15:47:46,540 semantic_segmentation INFO: Iters: 2620/50000 || Lr: 0.019055 || Task Loss: 0.2370 || KD Loss: 0.0955|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1419|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:27:50 || Estimated Time: 1 day, 20:33:06
2023-07-19 15:48:20,485 semantic_segmentation INFO: Iters: 2630/50000 || Lr: 0.019051 || Task Loss: 0.2493 || KD Loss: 0.1112|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1574|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:28:24 || Estimated Time: 1 day, 20:32:35
2023-07-19 15:48:54,461 semantic_segmentation INFO: Iters: 2640/50000 || Lr: 0.019047 || Task Loss: 0.2885 || KD Loss: 0.1084|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1517|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:28:58 || Estimated Time: 1 day, 20:32:03
2023-07-19 15:49:28,236 semantic_segmentation INFO: Iters: 2650/50000 || Lr: 0.019044 || Task Loss: 0.2368 || KD Loss: 0.0877|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1456|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:29:31 || Estimated Time: 1 day, 20:31:28
2023-07-19 15:50:02,299 semantic_segmentation INFO: Iters: 2660/50000 || Lr: 0.019040 || Task Loss: 0.2166 || KD Loss: 0.0774|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1322|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:30:05 || Estimated Time: 1 day, 20:30:58
2023-07-19 15:50:36,408 semantic_segmentation INFO: Iters: 2670/50000 || Lr: 0.019037 || Task Loss: 0.2645 || KD Loss: 0.0862|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1373|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:30:40 || Estimated Time: 1 day, 20:30:27
2023-07-19 15:51:10,627 semantic_segmentation INFO: Iters: 2680/50000 || Lr: 0.019033 || Task Loss: 0.2256 || KD Loss: 0.0835|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1401|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:31:14 || Estimated Time: 1 day, 20:30:00
2023-07-19 15:51:44,474 semantic_segmentation INFO: Iters: 2690/50000 || Lr: 0.019029 || Task Loss: 0.2364 || KD Loss: 0.0867|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1430|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:31:48 || Estimated Time: 1 day, 20:29:27
2023-07-19 15:52:18,411 semantic_segmentation INFO: Iters: 2700/50000 || Lr: 0.019026 || Task Loss: 0.2258 || KD Loss: 0.0776|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1417|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:32:22 || Estimated Time: 1 day, 20:28:54
2023-07-19 15:52:52,220 semantic_segmentation INFO: Iters: 2710/50000 || Lr: 0.019022 || Task Loss: 0.2127 || KD Loss: 0.0773|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1269|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:32:55 || Estimated Time: 1 day, 20:28:20
2023-07-19 15:53:26,166 semantic_segmentation INFO: Iters: 2720/50000 || Lr: 0.019018 || Task Loss: 0.2320 || KD Loss: 0.0801|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1301|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:33:29 || Estimated Time: 1 day, 20:27:47
2023-07-19 15:54:00,212 semantic_segmentation INFO: Iters: 2730/50000 || Lr: 0.019015 || Task Loss: 0.2199 || KD Loss: 0.0934|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1666|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:34:03 || Estimated Time: 1 day, 20:27:16
2023-07-19 15:54:34,117 semantic_segmentation INFO: Iters: 2740/50000 || Lr: 0.019011 || Task Loss: 0.2566 || KD Loss: 0.0883|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1433|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:34:37 || Estimated Time: 1 day, 20:26:43
2023-07-19 15:55:07,922 semantic_segmentation INFO: Iters: 2750/50000 || Lr: 0.019008 || Task Loss: 0.2375 || KD Loss: 0.0835|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1296|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:35:11 || Estimated Time: 1 day, 20:26:09
2023-07-19 15:55:41,698 semantic_segmentation INFO: Iters: 2760/50000 || Lr: 0.019004 || Task Loss: 0.2152 || KD Loss: 0.0850|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1486|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:35:45 || Estimated Time: 1 day, 20:25:33
2023-07-19 15:56:15,892 semantic_segmentation INFO: Iters: 2770/50000 || Lr: 0.019000 || Task Loss: 0.2503 || KD Loss: 0.1043|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1593|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:36:19 || Estimated Time: 1 day, 20:25:06
2023-07-19 15:56:49,788 semantic_segmentation INFO: Iters: 2780/50000 || Lr: 0.018997 || Task Loss: 0.2236 || KD Loss: 0.0831|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1380|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:36:53 || Estimated Time: 1 day, 20:24:33
2023-07-19 15:57:23,717 semantic_segmentation INFO: Iters: 2790/50000 || Lr: 0.018993 || Task Loss: 0.2655 || KD Loss: 0.1003|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1535|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:37:27 || Estimated Time: 1 day, 20:23:59
2023-07-19 15:57:57,377 semantic_segmentation INFO: Iters: 2800/50000 || Lr: 0.018989 || Task Loss: 0.2703 || KD Loss: 0.0978|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1347|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:38:00 || Estimated Time: 1 day, 20:23:24
2023-07-19 15:58:31,326 semantic_segmentation INFO: Iters: 2810/50000 || Lr: 0.018986 || Task Loss: 0.2634 || KD Loss: 0.1014|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1449|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:38:34 || Estimated Time: 1 day, 20:22:50
2023-07-19 15:59:05,303 semantic_segmentation INFO: Iters: 2820/50000 || Lr: 0.018982 || Task Loss: 0.2637 || KD Loss: 0.0897|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1360|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:39:08 || Estimated Time: 1 day, 20:22:18
2023-07-19 15:59:39,096 semantic_segmentation INFO: Iters: 2830/50000 || Lr: 0.018979 || Task Loss: 0.2578 || KD Loss: 0.0936|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1270|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:39:42 || Estimated Time: 1 day, 20:21:43
2023-07-19 16:00:12,881 semantic_segmentation INFO: Iters: 2840/50000 || Lr: 0.018975 || Task Loss: 0.2413 || KD Loss: 0.1049|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1666|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:40:16 || Estimated Time: 1 day, 20:21:08
2023-07-19 16:00:46,868 semantic_segmentation INFO: Iters: 2850/50000 || Lr: 0.018971 || Task Loss: 0.2538 || KD Loss: 0.0993|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1509|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:40:50 || Estimated Time: 1 day, 20:20:36
2023-07-19 16:01:20,858 semantic_segmentation INFO: Iters: 2860/50000 || Lr: 0.018968 || Task Loss: 0.2654 || KD Loss: 0.0948|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1439|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:41:24 || Estimated Time: 1 day, 20:20:05
2023-07-19 16:01:54,927 semantic_segmentation INFO: Iters: 2870/50000 || Lr: 0.018964 || Task Loss: 0.2603 || KD Loss: 0.1170|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1716|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:41:58 || Estimated Time: 1 day, 20:19:36
2023-07-19 16:02:28,860 semantic_segmentation INFO: Iters: 2880/50000 || Lr: 0.018961 || Task Loss: 0.1985 || KD Loss: 0.0838|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1428|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:42:32 || Estimated Time: 1 day, 20:19:02
2023-07-19 16:03:02,892 semantic_segmentation INFO: Iters: 2890/50000 || Lr: 0.018957 || Task Loss: 0.2437 || KD Loss: 0.1119|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1792|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:43:06 || Estimated Time: 1 day, 20:18:32
2023-07-19 16:03:37,159 semantic_segmentation INFO: Iters: 2900/50000 || Lr: 0.018953 || Task Loss: 0.2484 || KD Loss: 0.0888|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1458|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:43:40 || Estimated Time: 1 day, 20:18:03
2023-07-19 16:04:11,121 semantic_segmentation INFO: Iters: 2910/50000 || Lr: 0.018950 || Task Loss: 0.2011 || KD Loss: 0.0738|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1410|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:44:14 || Estimated Time: 1 day, 20:17:32
2023-07-19 16:04:45,142 semantic_segmentation INFO: Iters: 2920/50000 || Lr: 0.018946 || Task Loss: 0.2303 || KD Loss: 0.0814|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1321|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:44:48 || Estimated Time: 1 day, 20:17:00
2023-07-19 16:05:18,910 semantic_segmentation INFO: Iters: 2930/50000 || Lr: 0.018942 || Task Loss: 0.2245 || KD Loss: 0.0793|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1332|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:45:22 || Estimated Time: 1 day, 20:16:25
2023-07-19 16:05:52,703 semantic_segmentation INFO: Iters: 2940/50000 || Lr: 0.018939 || Task Loss: 0.2884 || KD Loss: 0.0846|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1198|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:45:56 || Estimated Time: 1 day, 20:15:51
2023-07-19 16:06:26,554 semantic_segmentation INFO: Iters: 2950/50000 || Lr: 0.018935 || Task Loss: 0.2248 || KD Loss: 0.0873|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1440|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:46:30 || Estimated Time: 1 day, 20:15:16
2023-07-19 16:07:00,338 semantic_segmentation INFO: Iters: 2960/50000 || Lr: 0.018932 || Task Loss: 0.2265 || KD Loss: 0.0942|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1509|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:47:03 || Estimated Time: 1 day, 20:14:40
2023-07-19 16:07:34,193 semantic_segmentation INFO: Iters: 2970/50000 || Lr: 0.018928 || Task Loss: 0.2547 || KD Loss: 0.0974|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1509|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:47:37 || Estimated Time: 1 day, 20:14:07
2023-07-19 16:08:07,822 semantic_segmentation INFO: Iters: 2980/50000 || Lr: 0.018924 || Task Loss: 0.2296 || KD Loss: 0.0984|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1514|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:48:11 || Estimated Time: 1 day, 20:13:29
2023-07-19 16:08:41,605 semantic_segmentation INFO: Iters: 2990/50000 || Lr: 0.018921 || Task Loss: 0.2482 || KD Loss: 0.0892|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1407|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:48:45 || Estimated Time: 1 day, 20:12:54
2023-07-19 16:09:15,777 semantic_segmentation INFO: Iters: 3000/50000 || Lr: 0.018917 || Task Loss: 0.2159 || KD Loss: 0.0830|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1436|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:49:19 || Estimated Time: 1 day, 20:12:25
2023-07-19 16:09:49,689 semantic_segmentation INFO: Iters: 3010/50000 || Lr: 0.018913 || Task Loss: 0.2566 || KD Loss: 0.0987|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1453|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:49:53 || Estimated Time: 1 day, 20:11:53
2023-07-19 16:10:23,575 semantic_segmentation INFO: Iters: 3020/50000 || Lr: 0.018910 || Task Loss: 0.2191 || KD Loss: 0.0826|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1502|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:50:27 || Estimated Time: 1 day, 20:11:18
2023-07-19 16:10:57,374 semantic_segmentation INFO: Iters: 3030/50000 || Lr: 0.018906 || Task Loss: 0.2227 || KD Loss: 0.0821|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1254|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:51:00 || Estimated Time: 1 day, 20:10:44
2023-07-19 16:11:31,169 semantic_segmentation INFO: Iters: 3040/50000 || Lr: 0.018903 || Task Loss: 0.2463 || KD Loss: 0.1033|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1608|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:51:34 || Estimated Time: 1 day, 20:10:09
2023-07-19 16:12:04,806 semantic_segmentation INFO: Iters: 3050/50000 || Lr: 0.018899 || Task Loss: 0.2076 || KD Loss: 0.0760|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1437|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:52:08 || Estimated Time: 1 day, 20:09:33
2023-07-19 16:12:38,539 semantic_segmentation INFO: Iters: 3060/50000 || Lr: 0.018895 || Task Loss: 0.2050 || KD Loss: 0.0766|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1511|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:52:42 || Estimated Time: 1 day, 20:08:56
2023-07-19 16:13:12,299 semantic_segmentation INFO: Iters: 3070/50000 || Lr: 0.018892 || Task Loss: 0.2012 || KD Loss: 0.0797|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1395|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:53:15 || Estimated Time: 1 day, 20:08:21
2023-07-19 16:13:45,918 semantic_segmentation INFO: Iters: 3080/50000 || Lr: 0.018888 || Task Loss: 0.2105 || KD Loss: 0.0745|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1398|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:53:49 || Estimated Time: 1 day, 20:07:43
2023-07-19 16:14:19,943 semantic_segmentation INFO: Iters: 3090/50000 || Lr: 0.018884 || Task Loss: 0.2082 || KD Loss: 0.0883|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1651|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:54:23 || Estimated Time: 1 day, 20:07:12
2023-07-19 16:14:54,180 semantic_segmentation INFO: Iters: 3100/50000 || Lr: 0.018881 || Task Loss: 0.2559 || KD Loss: 0.0792|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1194|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:54:57 || Estimated Time: 1 day, 20:06:44
2023-07-19 16:15:28,082 semantic_segmentation INFO: Iters: 3110/50000 || Lr: 0.018877 || Task Loss: 0.2078 || KD Loss: 0.0787|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1422|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:55:31 || Estimated Time: 1 day, 20:06:10
2023-07-19 16:16:01,797 semantic_segmentation INFO: Iters: 3120/50000 || Lr: 0.018874 || Task Loss: 0.2079 || KD Loss: 0.0898|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1558|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:56:05 || Estimated Time: 1 day, 20:05:35
2023-07-19 16:16:35,542 semantic_segmentation INFO: Iters: 3130/50000 || Lr: 0.018870 || Task Loss: 0.2008 || KD Loss: 0.0836|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1477|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:56:39 || Estimated Time: 1 day, 20:05:00
2023-07-19 16:17:09,313 semantic_segmentation INFO: Iters: 3140/50000 || Lr: 0.018866 || Task Loss: 0.2172 || KD Loss: 0.0786|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1332|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:57:12 || Estimated Time: 1 day, 20:04:23
2023-07-19 16:17:43,141 semantic_segmentation INFO: Iters: 3150/50000 || Lr: 0.018863 || Task Loss: 0.1946 || KD Loss: 0.0755|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1331|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:57:46 || Estimated Time: 1 day, 20:03:50
2023-07-19 16:18:17,344 semantic_segmentation INFO: Iters: 3160/50000 || Lr: 0.018859 || Task Loss: 0.2468 || KD Loss: 0.0851|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1229|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:58:20 || Estimated Time: 1 day, 20:03:20
2023-07-19 16:18:51,545 semantic_segmentation INFO: Iters: 3170/50000 || Lr: 0.018855 || Task Loss: 0.2291 || KD Loss: 0.1057|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1630|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:58:55 || Estimated Time: 1 day, 20:02:52
2023-07-19 16:19:25,744 semantic_segmentation INFO: Iters: 3180/50000 || Lr: 0.018852 || Task Loss: 0.3021 || KD Loss: 0.0916|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1155|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:59:29 || Estimated Time: 1 day, 20:02:22
2023-07-19 16:19:59,869 semantic_segmentation INFO: Iters: 3190/50000 || Lr: 0.018848 || Task Loss: 0.2164 || KD Loss: 0.0864|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1383|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:00:03 || Estimated Time: 1 day, 20:01:53
2023-07-19 16:20:33,734 semantic_segmentation INFO: Iters: 3200/50000 || Lr: 0.018845 || Task Loss: 0.2420 || KD Loss: 0.0972|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1586|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:00:37 || Estimated Time: 1 day, 20:01:20
2023-07-19 16:20:33,805 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 16:20:34,172 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.949, mIoU: 0.628
2023-07-19 16:20:34,205 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.952, mIoU: 0.639
2023-07-19 16:20:34,218 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.952, mIoU: 0.643
2023-07-19 16:20:34,231 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.952, mIoU: 0.644
2023-07-19 16:20:34,245 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.952, mIoU: 0.645
2023-07-19 16:20:34,258 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.953, mIoU: 0.646
2023-07-19 16:20:34,271 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.953, mIoU: 0.646
2023-07-19 16:20:34,284 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.953, mIoU: 0.646
2023-07-19 16:20:34,297 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.953, mIoU: 0.647
2023-07-19 16:20:34,311 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.953, mIoU: 0.649
2023-07-19 16:20:34,325 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.952, mIoU: 0.652
2023-07-19 16:20:34,339 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.951, mIoU: 0.650
2023-07-19 16:20:34,352 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.952, mIoU: 0.652
2023-07-19 16:20:34,366 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.952, mIoU: 0.654
2023-07-19 16:20:34,379 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.952, mIoU: 0.655
2023-07-19 16:20:34,393 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.952, mIoU: 0.655
2023-07-19 16:20:34,408 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.952, mIoU: 0.654
2023-07-19 16:20:34,423 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.951, mIoU: 0.654
2023-07-19 16:20:34,436 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.950, mIoU: 0.652
2023-07-19 16:20:34,449 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.949, mIoU: 0.649
2023-07-19 16:20:34,462 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.949, mIoU: 0.648
2023-07-19 16:20:34,475 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.948, mIoU: 0.648
2023-07-19 16:20:34,489 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.948, mIoU: 0.647
2023-07-19 16:20:34,502 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.948, mIoU: 0.646
2023-07-19 16:20:34,516 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.948, mIoU: 0.646
2023-07-19 16:20:34,530 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.948, mIoU: 0.646
2023-07-19 16:20:34,544 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.948, mIoU: 0.647
2023-07-19 16:20:34,557 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.948, mIoU: 0.648
2023-07-19 16:20:34,571 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.948, mIoU: 0.648
2023-07-19 16:20:34,584 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.948, mIoU: 0.649
2023-07-19 16:20:34,598 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.948, mIoU: 0.650
2023-07-19 16:20:34,612 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.948, mIoU: 0.652
2023-07-19 16:20:34,626 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.948, mIoU: 0.653
2023-07-19 16:20:34,639 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.948, mIoU: 0.654
2023-07-19 16:20:34,653 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.948, mIoU: 0.655
2023-07-19 16:20:34,667 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.948, mIoU: 0.655
2023-07-19 16:20:34,680 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.947, mIoU: 0.655
2023-07-19 16:20:34,694 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.947, mIoU: 0.656
2023-07-19 16:20:34,707 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.947, mIoU: 0.657
2023-07-19 16:20:34,721 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.947, mIoU: 0.659
2023-07-19 16:20:34,735 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.947, mIoU: 0.660
2023-07-19 16:20:34,749 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.947, mIoU: 0.661
2023-07-19 16:20:34,764 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.947, mIoU: 0.663
2023-07-19 16:20:34,778 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.947, mIoU: 0.664
2023-07-19 16:20:34,792 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.946, mIoU: 0.665
2023-07-19 16:20:34,806 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.946, mIoU: 0.666
2023-07-19 16:20:34,820 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.946, mIoU: 0.668
2023-07-19 16:20:34,834 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.946, mIoU: 0.669
2023-07-19 16:20:34,848 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.946, mIoU: 0.670
2023-07-19 16:20:34,862 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.946, mIoU: 0.670
2023-07-19 16:20:34,876 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.945, mIoU: 0.670
2023-07-19 16:20:34,890 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.945, mIoU: 0.670
2023-07-19 16:20:34,904 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.944, mIoU: 0.671
2023-07-19 16:20:34,918 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.944, mIoU: 0.671
2023-07-19 16:20:34,932 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.943, mIoU: 0.672
2023-07-19 16:20:34,946 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.943, mIoU: 0.672
2023-07-19 16:20:34,960 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.943, mIoU: 0.673
2023-07-19 16:20:34,973 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.942, mIoU: 0.674
2023-07-19 16:20:34,987 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.942, mIoU: 0.675
2023-07-19 16:20:35,001 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.942, mIoU: 0.676
2023-07-19 16:20:35,014 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.941, mIoU: 0.676
2023-07-19 16:20:35,028 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.941, mIoU: 0.677
2023-07-19 16:20:35,042 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.940, mIoU: 0.678
2023-07-19 16:20:35,055 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.940, mIoU: 0.679
2023-07-19 16:20:35,069 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.939, mIoU: 0.679
2023-07-19 16:20:35,083 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.939, mIoU: 0.680
2023-07-19 16:20:35,096 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.938, mIoU: 0.680
2023-07-19 16:20:35,110 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.937, mIoU: 0.681
2023-07-19 16:20:35,124 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.937, mIoU: 0.682
2023-07-19 16:20:35,138 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.936, mIoU: 0.683
2023-07-19 16:20:35,152 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.936, mIoU: 0.683
2023-07-19 16:20:35,166 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.935, mIoU: 0.683
2023-07-19 16:20:35,180 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.934, mIoU: 0.682
2023-07-19 16:20:35,194 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.934, mIoU: 0.681
2023-07-19 16:20:35,208 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.933, mIoU: 0.680
2023-07-19 16:20:35,222 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.933, mIoU: 0.679
2023-07-19 16:20:35,236 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.932, mIoU: 0.677
2023-07-19 16:20:35,250 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.931, mIoU: 0.676
2023-07-19 16:20:35,263 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.931, mIoU: 0.674
2023-07-19 16:20:35,277 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.930, mIoU: 0.673
2023-07-19 16:20:35,291 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.929, mIoU: 0.671
2023-07-19 16:20:35,305 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.928, mIoU: 0.669
2023-07-19 16:20:35,319 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.927, mIoU: 0.666
2023-07-19 16:20:35,332 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.926, mIoU: 0.664
2023-07-19 16:20:35,346 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.926, mIoU: 0.662
2023-07-19 16:20:35,360 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.925, mIoU: 0.659
2023-07-19 16:20:35,374 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.924, mIoU: 0.656
2023-07-19 16:20:35,388 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.924, mIoU: 0.654
2023-07-19 16:20:35,403 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.923, mIoU: 0.652
2023-07-19 16:20:35,417 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.923, mIoU: 0.650
2023-07-19 16:20:35,430 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.923, mIoU: 0.649
2023-07-19 16:20:35,444 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.923, mIoU: 0.649
2023-07-19 16:20:35,458 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.923, mIoU: 0.648
2023-07-19 16:20:35,471 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.923, mIoU: 0.648
2023-07-19 16:20:35,485 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.924, mIoU: 0.648
2023-07-19 16:20:35,499 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.924, mIoU: 0.647
2023-07-19 16:20:35,512 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.924, mIoU: 0.647
2023-07-19 16:20:35,526 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.924, mIoU: 0.646
2023-07-19 16:20:35,539 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.924, mIoU: 0.645
2023-07-19 16:20:35,553 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.924, mIoU: 0.644
2023-07-19 16:20:35,567 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.924, mIoU: 0.643
2023-07-19 16:21:09,750 semantic_segmentation INFO: Iters: 3210/50000 || Lr: 0.018841 || Task Loss: 0.2107 || KD Loss: 0.0798|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1478|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:01:13 || Estimated Time: 1 day, 20:01:17
2023-07-19 16:21:43,666 semantic_segmentation INFO: Iters: 3220/50000 || Lr: 0.018837 || Task Loss: 0.1925 || KD Loss: 0.0730|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1304|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:01:47 || Estimated Time: 1 day, 20:00:43
2023-07-19 16:22:17,523 semantic_segmentation INFO: Iters: 3230/50000 || Lr: 0.018834 || Task Loss: 0.3272 || KD Loss: 0.0943|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:02:21 || Estimated Time: 1 day, 20:00:09
2023-07-19 16:22:51,517 semantic_segmentation INFO: Iters: 3240/50000 || Lr: 0.018830 || Task Loss: 0.2387 || KD Loss: 0.1049|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1546|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:02:55 || Estimated Time: 1 day, 19:59:37
2023-07-19 16:23:25,350 semantic_segmentation INFO: Iters: 3250/50000 || Lr: 0.018826 || Task Loss: 0.2424 || KD Loss: 0.0861|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1286|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:03:28 || Estimated Time: 1 day, 19:59:04
2023-07-19 16:23:59,240 semantic_segmentation INFO: Iters: 3260/50000 || Lr: 0.018823 || Task Loss: 0.2133 || KD Loss: 0.0780|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1360|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:04:02 || Estimated Time: 1 day, 19:58:29
2023-07-19 16:24:33,234 semantic_segmentation INFO: Iters: 3270/50000 || Lr: 0.018819 || Task Loss: 0.2517 || KD Loss: 0.0763|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:04:36 || Estimated Time: 1 day, 19:57:57
2023-07-19 16:25:07,326 semantic_segmentation INFO: Iters: 3280/50000 || Lr: 0.018816 || Task Loss: 0.2097 || KD Loss: 0.0750|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1377|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:05:10 || Estimated Time: 1 day, 19:57:26
2023-07-19 16:25:41,120 semantic_segmentation INFO: Iters: 3290/50000 || Lr: 0.018812 || Task Loss: 0.2276 || KD Loss: 0.0836|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1410|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:05:44 || Estimated Time: 1 day, 19:56:51
2023-07-19 16:26:14,896 semantic_segmentation INFO: Iters: 3300/50000 || Lr: 0.018808 || Task Loss: 0.2133 || KD Loss: 0.0795|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1432|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:06:18 || Estimated Time: 1 day, 19:56:17
2023-07-19 16:26:48,735 semantic_segmentation INFO: Iters: 3310/50000 || Lr: 0.018805 || Task Loss: 0.2093 || KD Loss: 0.0813|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1436|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:06:52 || Estimated Time: 1 day, 19:55:41
2023-07-19 16:27:22,518 semantic_segmentation INFO: Iters: 3320/50000 || Lr: 0.018801 || Task Loss: 0.2226 || KD Loss: 0.0844|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1425|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:07:26 || Estimated Time: 1 day, 19:55:07
2023-07-19 16:27:56,303 semantic_segmentation INFO: Iters: 3330/50000 || Lr: 0.018797 || Task Loss: 0.2528 || KD Loss: 0.0717|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1198|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:07:59 || Estimated Time: 1 day, 19:54:33
2023-07-19 16:28:30,081 semantic_segmentation INFO: Iters: 3340/50000 || Lr: 0.018794 || Task Loss: 0.2603 || KD Loss: 0.0787|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:08:33 || Estimated Time: 1 day, 19:53:57
2023-07-19 16:29:03,895 semantic_segmentation INFO: Iters: 3350/50000 || Lr: 0.018790 || Task Loss: 0.2095 || KD Loss: 0.0864|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1426|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:09:07 || Estimated Time: 1 day, 19:53:22
2023-07-19 16:29:37,681 semantic_segmentation INFO: Iters: 3360/50000 || Lr: 0.018787 || Task Loss: 0.2400 || KD Loss: 0.0838|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1280|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:09:41 || Estimated Time: 1 day, 19:52:47
2023-07-19 16:30:11,638 semantic_segmentation INFO: Iters: 3370/50000 || Lr: 0.018783 || Task Loss: 0.2337 || KD Loss: 0.0736|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1206|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:10:15 || Estimated Time: 1 day, 19:52:14
2023-07-19 16:30:45,459 semantic_segmentation INFO: Iters: 3380/50000 || Lr: 0.018779 || Task Loss: 0.2623 || KD Loss: 0.1077|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1474|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:10:49 || Estimated Time: 1 day, 19:51:40
2023-07-19 16:31:19,414 semantic_segmentation INFO: Iters: 3390/50000 || Lr: 0.018776 || Task Loss: 0.1949 || KD Loss: 0.0804|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1406|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:11:23 || Estimated Time: 1 day, 19:51:07
2023-07-19 16:31:53,337 semantic_segmentation INFO: Iters: 3400/50000 || Lr: 0.018772 || Task Loss: 0.2204 || KD Loss: 0.0745|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1232|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:11:56 || Estimated Time: 1 day, 19:50:34
2023-07-19 16:32:27,235 semantic_segmentation INFO: Iters: 3410/50000 || Lr: 0.018768 || Task Loss: 0.2159 || KD Loss: 0.0824|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1370|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:12:30 || Estimated Time: 1 day, 19:50:00
2023-07-19 16:33:01,360 semantic_segmentation INFO: Iters: 3420/50000 || Lr: 0.018765 || Task Loss: 0.2083 || KD Loss: 0.0808|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1303|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:13:04 || Estimated Time: 1 day, 19:49:30
2023-07-19 16:33:35,216 semantic_segmentation INFO: Iters: 3430/50000 || Lr: 0.018761 || Task Loss: 0.2150 || KD Loss: 0.0761|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1355|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:13:38 || Estimated Time: 1 day, 19:48:55
2023-07-19 16:34:09,302 semantic_segmentation INFO: Iters: 3440/50000 || Lr: 0.018758 || Task Loss: 0.2407 || KD Loss: 0.0911|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1427|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:14:12 || Estimated Time: 1 day, 19:48:25
2023-07-19 16:34:43,500 semantic_segmentation INFO: Iters: 3450/50000 || Lr: 0.018754 || Task Loss: 0.1960 || KD Loss: 0.0722|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1369|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:14:47 || Estimated Time: 1 day, 19:47:56
2023-07-19 16:35:17,686 semantic_segmentation INFO: Iters: 3460/50000 || Lr: 0.018750 || Task Loss: 0.2039 || KD Loss: 0.0739|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1319|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:15:21 || Estimated Time: 1 day, 19:47:26
2023-07-19 16:35:51,704 semantic_segmentation INFO: Iters: 3470/50000 || Lr: 0.018747 || Task Loss: 0.2038 || KD Loss: 0.0671|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1224|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:15:55 || Estimated Time: 1 day, 19:46:54
2023-07-19 16:36:25,750 semantic_segmentation INFO: Iters: 3480/50000 || Lr: 0.018743 || Task Loss: 0.2149 || KD Loss: 0.0718|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1265|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:16:29 || Estimated Time: 1 day, 19:46:22
2023-07-19 16:36:59,663 semantic_segmentation INFO: Iters: 3490/50000 || Lr: 0.018739 || Task Loss: 0.2196 || KD Loss: 0.0749|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1286|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:17:03 || Estimated Time: 1 day, 19:45:50
2023-07-19 16:37:33,901 semantic_segmentation INFO: Iters: 3500/50000 || Lr: 0.018736 || Task Loss: 0.2192 || KD Loss: 0.0883|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1460|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:17:37 || Estimated Time: 1 day, 19:45:20
2023-07-19 16:38:07,804 semantic_segmentation INFO: Iters: 3510/50000 || Lr: 0.018732 || Task Loss: 0.2180 || KD Loss: 0.0838|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1439|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:18:11 || Estimated Time: 1 day, 19:44:46
2023-07-19 16:38:41,648 semantic_segmentation INFO: Iters: 3520/50000 || Lr: 0.018729 || Task Loss: 0.2462 || KD Loss: 0.0966|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1390|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:18:45 || Estimated Time: 1 day, 19:44:13
2023-07-19 16:39:15,589 semantic_segmentation INFO: Iters: 3530/50000 || Lr: 0.018725 || Task Loss: 0.2584 || KD Loss: 0.0890|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1264|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:19:19 || Estimated Time: 1 day, 19:43:39
2023-07-19 16:39:49,368 semantic_segmentation INFO: Iters: 3540/50000 || Lr: 0.018721 || Task Loss: 0.1985 || KD Loss: 0.0771|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1284|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:19:52 || Estimated Time: 1 day, 19:43:04
2023-07-19 16:40:23,204 semantic_segmentation INFO: Iters: 3550/50000 || Lr: 0.018718 || Task Loss: 0.1976 || KD Loss: 0.0778|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1410|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:20:26 || Estimated Time: 1 day, 19:42:30
2023-07-19 16:40:57,439 semantic_segmentation INFO: Iters: 3560/50000 || Lr: 0.018714 || Task Loss: 0.1974 || KD Loss: 0.0791|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1464|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:21:01 || Estimated Time: 1 day, 19:42:00
2023-07-19 16:41:31,767 semantic_segmentation INFO: Iters: 3570/50000 || Lr: 0.018710 || Task Loss: 0.1883 || KD Loss: 0.0720|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1348|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:21:35 || Estimated Time: 1 day, 19:41:32
2023-07-19 16:42:05,836 semantic_segmentation INFO: Iters: 3580/50000 || Lr: 0.018707 || Task Loss: 0.1855 || KD Loss: 0.0712|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1318|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:22:09 || Estimated Time: 1 day, 19:41:01
2023-07-19 16:42:39,812 semantic_segmentation INFO: Iters: 3590/50000 || Lr: 0.018703 || Task Loss: 0.1989 || KD Loss: 0.0793|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1435|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:22:43 || Estimated Time: 1 day, 19:40:28
2023-07-19 16:43:13,871 semantic_segmentation INFO: Iters: 3600/50000 || Lr: 0.018700 || Task Loss: 0.2283 || KD Loss: 0.0861|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1374|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:23:17 || Estimated Time: 1 day, 19:39:57
2023-07-19 16:43:48,019 semantic_segmentation INFO: Iters: 3610/50000 || Lr: 0.018696 || Task Loss: 0.2015 || KD Loss: 0.0636|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1196|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:23:51 || Estimated Time: 1 day, 19:39:26
2023-07-19 16:44:22,270 semantic_segmentation INFO: Iters: 3620/50000 || Lr: 0.018692 || Task Loss: 0.2190 || KD Loss: 0.0739|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1456|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:24:25 || Estimated Time: 1 day, 19:38:57
2023-07-19 16:44:56,647 semantic_segmentation INFO: Iters: 3630/50000 || Lr: 0.018689 || Task Loss: 0.2145 || KD Loss: 0.0723|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1347|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:25:00 || Estimated Time: 1 day, 19:38:29
2023-07-19 16:45:30,987 semantic_segmentation INFO: Iters: 3640/50000 || Lr: 0.018685 || Task Loss: 0.1880 || KD Loss: 0.0692|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1323|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:25:34 || Estimated Time: 1 day, 19:38:01
2023-07-19 16:46:05,189 semantic_segmentation INFO: Iters: 3650/50000 || Lr: 0.018681 || Task Loss: 0.1959 || KD Loss: 0.0764|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1385|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:26:08 || Estimated Time: 1 day, 19:37:31
2023-07-19 16:46:39,390 semantic_segmentation INFO: Iters: 3660/50000 || Lr: 0.018678 || Task Loss: 0.2220 || KD Loss: 0.0995|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1507|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:26:42 || Estimated Time: 1 day, 19:37:02
2023-07-19 16:47:13,258 semantic_segmentation INFO: Iters: 3670/50000 || Lr: 0.018674 || Task Loss: 0.2318 || KD Loss: 0.0830|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1350|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:27:16 || Estimated Time: 1 day, 19:36:29
2023-07-19 16:47:47,191 semantic_segmentation INFO: Iters: 3680/50000 || Lr: 0.018671 || Task Loss: 0.2177 || KD Loss: 0.0831|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1440|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:27:50 || Estimated Time: 1 day, 19:35:54
2023-07-19 16:48:21,395 semantic_segmentation INFO: Iters: 3690/50000 || Lr: 0.018667 || Task Loss: 0.2257 || KD Loss: 0.0816|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1406|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:28:24 || Estimated Time: 1 day, 19:35:24
2023-07-19 16:48:55,593 semantic_segmentation INFO: Iters: 3700/50000 || Lr: 0.018663 || Task Loss: 0.2441 || KD Loss: 0.0753|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1244|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:28:59 || Estimated Time: 1 day, 19:34:54
2023-07-19 16:49:29,797 semantic_segmentation INFO: Iters: 3710/50000 || Lr: 0.018660 || Task Loss: 0.2541 || KD Loss: 0.0811|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1199|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:29:33 || Estimated Time: 1 day, 19:34:24
2023-07-19 16:50:04,019 semantic_segmentation INFO: Iters: 3720/50000 || Lr: 0.018656 || Task Loss: 0.2272 || KD Loss: 0.0736|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1174|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:30:07 || Estimated Time: 1 day, 19:33:55
2023-07-19 16:50:38,234 semantic_segmentation INFO: Iters: 3730/50000 || Lr: 0.018652 || Task Loss: 0.1781 || KD Loss: 0.0692|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1404|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:30:41 || Estimated Time: 1 day, 19:33:25
2023-07-19 16:51:12,450 semantic_segmentation INFO: Iters: 3740/50000 || Lr: 0.018649 || Task Loss: 0.2014 || KD Loss: 0.0734|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1236|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:31:16 || Estimated Time: 1 day, 19:32:55
2023-07-19 16:51:46,608 semantic_segmentation INFO: Iters: 3750/50000 || Lr: 0.018645 || Task Loss: 0.2334 || KD Loss: 0.0889|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1481|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:31:50 || Estimated Time: 1 day, 19:32:24
2023-07-19 16:52:20,497 semantic_segmentation INFO: Iters: 3760/50000 || Lr: 0.018642 || Task Loss: 0.2116 || KD Loss: 0.0833|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1410|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:32:24 || Estimated Time: 1 day, 19:31:51
2023-07-19 16:52:54,579 semantic_segmentation INFO: Iters: 3770/50000 || Lr: 0.018638 || Task Loss: 0.2178 || KD Loss: 0.0727|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1300|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:32:58 || Estimated Time: 1 day, 19:31:19
2023-07-19 16:53:28,807 semantic_segmentation INFO: Iters: 3780/50000 || Lr: 0.018634 || Task Loss: 0.2148 || KD Loss: 0.0658|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:33:32 || Estimated Time: 1 day, 19:30:49
2023-07-19 16:54:02,854 semantic_segmentation INFO: Iters: 3790/50000 || Lr: 0.018631 || Task Loss: 0.2248 || KD Loss: 0.0831|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1401|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:34:06 || Estimated Time: 1 day, 19:30:18
2023-07-19 16:54:37,125 semantic_segmentation INFO: Iters: 3800/50000 || Lr: 0.018627 || Task Loss: 0.1994 || KD Loss: 0.0782|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1455|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:34:40 || Estimated Time: 1 day, 19:29:48
2023-07-19 16:55:11,439 semantic_segmentation INFO: Iters: 3810/50000 || Lr: 0.018623 || Task Loss: 0.2138 || KD Loss: 0.0785|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1394|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:35:15 || Estimated Time: 1 day, 19:29:20
2023-07-19 16:55:45,824 semantic_segmentation INFO: Iters: 3820/50000 || Lr: 0.018620 || Task Loss: 0.1833 || KD Loss: 0.0746|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1473|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:35:49 || Estimated Time: 1 day, 19:28:51
2023-07-19 16:56:20,271 semantic_segmentation INFO: Iters: 3830/50000 || Lr: 0.018616 || Task Loss: 0.1916 || KD Loss: 0.0677|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1273|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:36:23 || Estimated Time: 1 day, 19:28:24
2023-07-19 16:56:54,626 semantic_segmentation INFO: Iters: 3840/50000 || Lr: 0.018612 || Task Loss: 0.1923 || KD Loss: 0.0705|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1275|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:36:58 || Estimated Time: 1 day, 19:27:55
2023-07-19 16:57:28,658 semantic_segmentation INFO: Iters: 3850/50000 || Lr: 0.018609 || Task Loss: 0.2118 || KD Loss: 0.0756|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1326|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:37:32 || Estimated Time: 1 day, 19:27:23
2023-07-19 16:58:02,810 semantic_segmentation INFO: Iters: 3860/50000 || Lr: 0.018605 || Task Loss: 0.2100 || KD Loss: 0.0717|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1259|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:38:06 || Estimated Time: 1 day, 19:26:52
2023-07-19 16:58:36,845 semantic_segmentation INFO: Iters: 3870/50000 || Lr: 0.018602 || Task Loss: 0.2097 || KD Loss: 0.0681|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1278|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:38:40 || Estimated Time: 1 day, 19:26:20
2023-07-19 16:59:11,133 semantic_segmentation INFO: Iters: 3880/50000 || Lr: 0.018598 || Task Loss: 0.2369 || KD Loss: 0.0952|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1451|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:39:14 || Estimated Time: 1 day, 19:25:51
2023-07-19 16:59:45,466 semantic_segmentation INFO: Iters: 3890/50000 || Lr: 0.018594 || Task Loss: 0.2212 || KD Loss: 0.0833|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1349|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:39:49 || Estimated Time: 1 day, 19:25:23
2023-07-19 17:00:20,011 semantic_segmentation INFO: Iters: 3900/50000 || Lr: 0.018591 || Task Loss: 0.2493 || KD Loss: 0.0988|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1378|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:40:23 || Estimated Time: 1 day, 19:24:55
2023-07-19 17:00:54,448 semantic_segmentation INFO: Iters: 3910/50000 || Lr: 0.018587 || Task Loss: 0.2400 || KD Loss: 0.0794|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1228|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:40:58 || Estimated Time: 1 day, 19:24:28
2023-07-19 17:01:29,064 semantic_segmentation INFO: Iters: 3920/50000 || Lr: 0.018583 || Task Loss: 0.2521 || KD Loss: 0.0843|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1210|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:41:32 || Estimated Time: 1 day, 19:24:02
2023-07-19 17:02:03,476 semantic_segmentation INFO: Iters: 3930/50000 || Lr: 0.018580 || Task Loss: 0.2577 || KD Loss: 0.0828|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1208|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:42:07 || Estimated Time: 1 day, 19:23:35
2023-07-19 17:02:37,861 semantic_segmentation INFO: Iters: 3940/50000 || Lr: 0.018576 || Task Loss: 0.1901 || KD Loss: 0.0876|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1455|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:42:41 || Estimated Time: 1 day, 19:23:06
2023-07-19 17:03:12,270 semantic_segmentation INFO: Iters: 3950/50000 || Lr: 0.018573 || Task Loss: 0.2167 || KD Loss: 0.0771|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1283|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:43:15 || Estimated Time: 1 day, 19:22:38
2023-07-19 17:03:46,689 semantic_segmentation INFO: Iters: 3960/50000 || Lr: 0.018569 || Task Loss: 0.1733 || KD Loss: 0.0661|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1252|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:43:50 || Estimated Time: 1 day, 19:22:11
2023-07-19 17:04:21,206 semantic_segmentation INFO: Iters: 3970/50000 || Lr: 0.018565 || Task Loss: 0.2428 || KD Loss: 0.0890|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1352|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:44:24 || Estimated Time: 1 day, 19:21:43
2023-07-19 17:04:55,495 semantic_segmentation INFO: Iters: 3980/50000 || Lr: 0.018562 || Task Loss: 0.2379 || KD Loss: 0.0868|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1294|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:44:59 || Estimated Time: 1 day, 19:21:14
2023-07-19 17:05:29,886 semantic_segmentation INFO: Iters: 3990/50000 || Lr: 0.018558 || Task Loss: 0.1725 || KD Loss: 0.0741|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1362|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:45:33 || Estimated Time: 1 day, 19:20:45
2023-07-19 17:06:04,187 semantic_segmentation INFO: Iters: 4000/50000 || Lr: 0.018554 || Task Loss: 0.2169 || KD Loss: 0.0755|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1352|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:46:07 || Estimated Time: 1 day, 19:20:16
2023-07-19 17:06:04,260 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 17:06:04,627 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.949, mIoU: 0.627
2023-07-19 17:06:04,640 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.950, mIoU: 0.633
2023-07-19 17:06:04,655 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.949, mIoU: 0.631
2023-07-19 17:06:04,667 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.947, mIoU: 0.624
2023-07-19 17:06:04,680 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.945, mIoU: 0.619
2023-07-19 17:06:04,693 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.945, mIoU: 0.618
2023-07-19 17:06:04,705 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.945, mIoU: 0.617
2023-07-19 17:06:04,718 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.945, mIoU: 0.617
2023-07-19 17:06:04,731 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.944, mIoU: 0.618
2023-07-19 17:06:04,744 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.945, mIoU: 0.621
2023-07-19 17:06:04,758 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.945, mIoU: 0.626
2023-07-19 17:06:04,771 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.944, mIoU: 0.625
2023-07-19 17:06:04,784 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.944, mIoU: 0.627
2023-07-19 17:06:04,798 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.944, mIoU: 0.629
2023-07-19 17:06:04,812 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.945, mIoU: 0.632
2023-07-19 17:06:04,826 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.945, mIoU: 0.634
2023-07-19 17:06:04,839 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.945, mIoU: 0.634
2023-07-19 17:06:04,853 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.945, mIoU: 0.635
2023-07-19 17:06:04,866 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.944, mIoU: 0.634
2023-07-19 17:06:04,879 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.943, mIoU: 0.632
2023-07-19 17:06:04,892 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.943, mIoU: 0.633
2023-07-19 17:06:04,905 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.942, mIoU: 0.631
2023-07-19 17:06:04,918 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.942, mIoU: 0.631
2023-07-19 17:06:04,932 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.941, mIoU: 0.630
2023-07-19 17:06:04,946 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.941, mIoU: 0.630
2023-07-19 17:06:04,959 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.941, mIoU: 0.630
2023-07-19 17:06:04,973 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.941, mIoU: 0.631
2023-07-19 17:06:04,986 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.941, mIoU: 0.631
2023-07-19 17:06:04,999 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.941, mIoU: 0.633
2023-07-19 17:06:05,013 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.942, mIoU: 0.635
2023-07-19 17:06:05,026 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.942, mIoU: 0.636
2023-07-19 17:06:05,039 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.942, mIoU: 0.638
2023-07-19 17:06:05,053 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.942, mIoU: 0.640
2023-07-19 17:06:05,066 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.942, mIoU: 0.642
2023-07-19 17:06:05,079 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.942, mIoU: 0.643
2023-07-19 17:06:05,092 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.941, mIoU: 0.643
2023-07-19 17:06:05,106 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.941, mIoU: 0.643
2023-07-19 17:06:05,119 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.941, mIoU: 0.644
2023-07-19 17:06:05,133 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.941, mIoU: 0.645
2023-07-19 17:06:05,147 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.941, mIoU: 0.647
2023-07-19 17:06:05,160 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.941, mIoU: 0.649
2023-07-19 17:06:05,174 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.941, mIoU: 0.651
2023-07-19 17:06:05,188 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.941, mIoU: 0.653
2023-07-19 17:06:05,202 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.942, mIoU: 0.655
2023-07-19 17:06:05,216 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.941, mIoU: 0.656
2023-07-19 17:06:05,230 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.941, mIoU: 0.659
2023-07-19 17:06:05,244 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.941, mIoU: 0.660
2023-07-19 17:06:05,257 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.941, mIoU: 0.662
2023-07-19 17:06:05,271 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.941, mIoU: 0.663
2023-07-19 17:06:05,285 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.940, mIoU: 0.664
2023-07-19 17:06:05,300 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.940, mIoU: 0.664
2023-07-19 17:06:05,314 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.939, mIoU: 0.665
2023-07-19 17:06:05,328 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.939, mIoU: 0.665
2023-07-19 17:06:05,341 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.938, mIoU: 0.666
2023-07-19 17:06:05,356 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.938, mIoU: 0.666
2023-07-19 17:06:05,370 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.938, mIoU: 0.667
2023-07-19 17:06:05,384 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.937, mIoU: 0.668
2023-07-19 17:06:05,398 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.937, mIoU: 0.668
2023-07-19 17:06:05,412 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.937, mIoU: 0.669
2023-07-19 17:06:05,426 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.937, mIoU: 0.670
2023-07-19 17:06:05,440 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.936, mIoU: 0.671
2023-07-19 17:06:05,454 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.936, mIoU: 0.672
2023-07-19 17:06:05,468 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.936, mIoU: 0.673
2023-07-19 17:06:05,482 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.935, mIoU: 0.674
2023-07-19 17:06:05,496 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.935, mIoU: 0.675
2023-07-19 17:06:05,510 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.934, mIoU: 0.675
2023-07-19 17:06:05,525 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.934, mIoU: 0.676
2023-07-19 17:06:05,539 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.933, mIoU: 0.677
2023-07-19 17:06:05,553 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.933, mIoU: 0.678
2023-07-19 17:06:05,567 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.932, mIoU: 0.679
2023-07-19 17:06:05,581 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.932, mIoU: 0.680
2023-07-19 17:06:05,595 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.931, mIoU: 0.680
2023-07-19 17:06:05,609 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.931, mIoU: 0.679
2023-07-19 17:06:05,623 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.930, mIoU: 0.679
2023-07-19 17:06:05,637 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.930, mIoU: 0.678
2023-07-19 17:06:05,651 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.929, mIoU: 0.678
2023-07-19 17:06:05,665 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.929, mIoU: 0.677
2023-07-19 17:06:05,678 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.928, mIoU: 0.676
2023-07-19 17:06:05,692 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.928, mIoU: 0.675
2023-07-19 17:06:05,706 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.928, mIoU: 0.674
2023-07-19 17:06:05,720 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.927, mIoU: 0.674
2023-07-19 17:06:05,734 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.927, mIoU: 0.673
2023-07-19 17:06:05,748 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.926, mIoU: 0.671
2023-07-19 17:06:05,762 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.925, mIoU: 0.670
2023-07-19 17:06:05,776 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.925, mIoU: 0.669
2023-07-19 17:06:05,790 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.925, mIoU: 0.668
2023-07-19 17:06:05,804 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.924, mIoU: 0.666
2023-07-19 17:06:05,818 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.924, mIoU: 0.664
2023-07-19 17:06:05,832 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.923, mIoU: 0.662
2023-07-19 17:06:05,846 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.923, mIoU: 0.660
2023-07-19 17:06:05,860 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.923, mIoU: 0.659
2023-07-19 17:06:05,874 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.923, mIoU: 0.659
2023-07-19 17:06:05,888 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.923, mIoU: 0.658
2023-07-19 17:06:05,902 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.923, mIoU: 0.658
2023-07-19 17:06:05,916 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.923, mIoU: 0.658
2023-07-19 17:06:05,930 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.924, mIoU: 0.657
2023-07-19 17:06:05,944 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.924, mIoU: 0.656
2023-07-19 17:06:05,958 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.924, mIoU: 0.655
2023-07-19 17:06:05,972 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.923, mIoU: 0.655
2023-07-19 17:06:05,986 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.923, mIoU: 0.653
2023-07-19 17:06:06,000 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.923, mIoU: 0.652
2023-07-19 17:06:40,734 semantic_segmentation INFO: Iters: 4010/50000 || Lr: 0.018551 || Task Loss: 0.1733 || KD Loss: 0.0729|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1366|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:46:44 || Estimated Time: 1 day, 19:20:12
2023-07-19 17:07:15,004 semantic_segmentation INFO: Iters: 4020/50000 || Lr: 0.018547 || Task Loss: 0.2450 || KD Loss: 0.0728|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1106|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:47:18 || Estimated Time: 1 day, 19:19:42
2023-07-19 17:07:49,236 semantic_segmentation INFO: Iters: 4030/50000 || Lr: 0.018544 || Task Loss: 0.2477 || KD Loss: 0.0917|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1405|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:47:52 || Estimated Time: 1 day, 19:19:12
2023-07-19 17:08:23,587 semantic_segmentation INFO: Iters: 4040/50000 || Lr: 0.018540 || Task Loss: 0.2013 || KD Loss: 0.0809|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1392|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:48:27 || Estimated Time: 1 day, 19:18:42
2023-07-19 17:08:57,982 semantic_segmentation INFO: Iters: 4050/50000 || Lr: 0.018536 || Task Loss: 0.2295 || KD Loss: 0.0740|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1209|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:49:01 || Estimated Time: 1 day, 19:18:14
2023-07-19 17:09:32,160 semantic_segmentation INFO: Iters: 4060/50000 || Lr: 0.018533 || Task Loss: 0.1902 || KD Loss: 0.0638|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1266|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:49:35 || Estimated Time: 1 day, 19:17:43
2023-07-19 17:10:06,396 semantic_segmentation INFO: Iters: 4070/50000 || Lr: 0.018529 || Task Loss: 0.2332 || KD Loss: 0.0885|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1390|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:50:09 || Estimated Time: 1 day, 19:17:12
2023-07-19 17:10:40,653 semantic_segmentation INFO: Iters: 4080/50000 || Lr: 0.018525 || Task Loss: 0.2222 || KD Loss: 0.0825|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1439|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:50:44 || Estimated Time: 1 day, 19:16:42
2023-07-19 17:11:14,798 semantic_segmentation INFO: Iters: 4090/50000 || Lr: 0.018522 || Task Loss: 0.2191 || KD Loss: 0.0673|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1176|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:51:18 || Estimated Time: 1 day, 19:16:11
2023-07-19 17:11:48,973 semantic_segmentation INFO: Iters: 4100/50000 || Lr: 0.018518 || Task Loss: 0.2194 || KD Loss: 0.0775|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1356|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:51:52 || Estimated Time: 1 day, 19:15:39
2023-07-19 17:12:23,204 semantic_segmentation INFO: Iters: 4110/50000 || Lr: 0.018514 || Task Loss: 0.2160 || KD Loss: 0.0736|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1220|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:52:26 || Estimated Time: 1 day, 19:15:09
2023-07-19 17:12:57,357 semantic_segmentation INFO: Iters: 4120/50000 || Lr: 0.018511 || Task Loss: 0.1958 || KD Loss: 0.0701|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1267|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:53:00 || Estimated Time: 1 day, 19:14:37
2023-07-19 17:13:31,559 semantic_segmentation INFO: Iters: 4130/50000 || Lr: 0.018507 || Task Loss: 0.1887 || KD Loss: 0.0673|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1393|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:53:35 || Estimated Time: 1 day, 19:14:06
2023-07-19 17:14:05,796 semantic_segmentation INFO: Iters: 4140/50000 || Lr: 0.018504 || Task Loss: 0.1950 || KD Loss: 0.0703|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1296|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:54:09 || Estimated Time: 1 day, 19:13:36
2023-07-19 17:14:39,986 semantic_segmentation INFO: Iters: 4150/50000 || Lr: 0.018500 || Task Loss: 0.1691 || KD Loss: 0.0842|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1585|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:54:43 || Estimated Time: 1 day, 19:13:05
2023-07-19 17:15:14,181 semantic_segmentation INFO: Iters: 4160/50000 || Lr: 0.018496 || Task Loss: 0.2224 || KD Loss: 0.0956|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1597|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:55:17 || Estimated Time: 1 day, 19:12:34
2023-07-19 17:15:48,461 semantic_segmentation INFO: Iters: 4170/50000 || Lr: 0.018493 || Task Loss: 0.2108 || KD Loss: 0.0809|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1344|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:55:52 || Estimated Time: 1 day, 19:12:04
2023-07-19 17:16:22,795 semantic_segmentation INFO: Iters: 4180/50000 || Lr: 0.018489 || Task Loss: 0.2363 || KD Loss: 0.0811|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1250|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:56:26 || Estimated Time: 1 day, 19:11:34
2023-07-19 17:16:56,994 semantic_segmentation INFO: Iters: 4190/50000 || Lr: 0.018485 || Task Loss: 0.2255 || KD Loss: 0.0721|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:57:00 || Estimated Time: 1 day, 19:11:03
2023-07-19 17:17:31,259 semantic_segmentation INFO: Iters: 4200/50000 || Lr: 0.018482 || Task Loss: 0.2026 || KD Loss: 0.0922|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1488|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:57:34 || Estimated Time: 1 day, 19:10:32
2023-07-19 17:18:05,571 semantic_segmentation INFO: Iters: 4210/50000 || Lr: 0.018478 || Task Loss: 0.1681 || KD Loss: 0.0652|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1338|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:58:09 || Estimated Time: 1 day, 19:10:03
2023-07-19 17:18:39,957 semantic_segmentation INFO: Iters: 4220/50000 || Lr: 0.018475 || Task Loss: 0.1843 || KD Loss: 0.0684|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1347|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:58:43 || Estimated Time: 1 day, 19:09:34
2023-07-19 17:19:14,188 semantic_segmentation INFO: Iters: 4230/50000 || Lr: 0.018471 || Task Loss: 0.2096 || KD Loss: 0.0731|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1333|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:59:17 || Estimated Time: 1 day, 19:09:03
2023-07-19 17:19:48,647 semantic_segmentation INFO: Iters: 4240/50000 || Lr: 0.018467 || Task Loss: 0.2407 || KD Loss: 0.0669|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:59:52 || Estimated Time: 1 day, 19:08:34
2023-07-19 17:20:22,914 semantic_segmentation INFO: Iters: 4250/50000 || Lr: 0.018464 || Task Loss: 0.1836 || KD Loss: 0.0733|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1422|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:00:26 || Estimated Time: 1 day, 19:08:05
2023-07-19 17:20:57,156 semantic_segmentation INFO: Iters: 4260/50000 || Lr: 0.018460 || Task Loss: 0.2103 || KD Loss: 0.0729|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1316|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:01:00 || Estimated Time: 1 day, 19:07:33
2023-07-19 17:21:31,435 semantic_segmentation INFO: Iters: 4270/50000 || Lr: 0.018456 || Task Loss: 0.2228 || KD Loss: 0.0656|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1128|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:01:35 || Estimated Time: 1 day, 19:07:03
2023-07-19 17:22:05,804 semantic_segmentation INFO: Iters: 4280/50000 || Lr: 0.018453 || Task Loss: 0.1974 || KD Loss: 0.0766|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1449|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:02:09 || Estimated Time: 1 day, 19:06:34
2023-07-19 17:22:40,131 semantic_segmentation INFO: Iters: 4290/50000 || Lr: 0.018449 || Task Loss: 0.2150 || KD Loss: 0.0719|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1231|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:02:43 || Estimated Time: 1 day, 19:06:04
2023-07-19 17:23:14,337 semantic_segmentation INFO: Iters: 4300/50000 || Lr: 0.018445 || Task Loss: 0.2143 || KD Loss: 0.0711|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1182|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:03:17 || Estimated Time: 1 day, 19:05:33
2023-07-19 17:23:48,827 semantic_segmentation INFO: Iters: 4310/50000 || Lr: 0.018442 || Task Loss: 0.1914 || KD Loss: 0.0844|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1521|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:03:52 || Estimated Time: 1 day, 19:05:04
2023-07-19 17:24:23,193 semantic_segmentation INFO: Iters: 4320/50000 || Lr: 0.018438 || Task Loss: 0.2574 || KD Loss: 0.0745|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:04:26 || Estimated Time: 1 day, 19:04:35
2023-07-19 17:24:57,447 semantic_segmentation INFO: Iters: 4330/50000 || Lr: 0.018435 || Task Loss: 0.2145 || KD Loss: 0.0818|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1332|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:05:01 || Estimated Time: 1 day, 19:04:04
2023-07-19 17:25:31,661 semantic_segmentation INFO: Iters: 4340/50000 || Lr: 0.018431 || Task Loss: 0.2001 || KD Loss: 0.0691|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1278|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:05:35 || Estimated Time: 1 day, 19:03:33
2023-07-19 17:26:06,066 semantic_segmentation INFO: Iters: 4350/50000 || Lr: 0.018427 || Task Loss: 0.1993 || KD Loss: 0.0734|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1349|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:06:09 || Estimated Time: 1 day, 19:03:04
2023-07-19 17:26:40,268 semantic_segmentation INFO: Iters: 4360/50000 || Lr: 0.018424 || Task Loss: 0.2034 || KD Loss: 0.0769|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1421|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:06:43 || Estimated Time: 1 day, 19:02:33
2023-07-19 17:27:14,480 semantic_segmentation INFO: Iters: 4370/50000 || Lr: 0.018420 || Task Loss: 0.2001 || KD Loss: 0.0798|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1325|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:07:18 || Estimated Time: 1 day, 19:02:02
2023-07-19 17:27:48,872 semantic_segmentation INFO: Iters: 4380/50000 || Lr: 0.018416 || Task Loss: 0.1733 || KD Loss: 0.0617|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1222|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:07:52 || Estimated Time: 1 day, 19:01:33
2023-07-19 17:28:23,275 semantic_segmentation INFO: Iters: 4390/50000 || Lr: 0.018413 || Task Loss: 0.2210 || KD Loss: 0.0731|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1172|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:08:26 || Estimated Time: 1 day, 19:01:03
2023-07-19 17:28:57,495 semantic_segmentation INFO: Iters: 4400/50000 || Lr: 0.018409 || Task Loss: 0.2238 || KD Loss: 0.0893|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1286|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:09:01 || Estimated Time: 1 day, 19:00:31
2023-07-19 17:29:31,882 semantic_segmentation INFO: Iters: 4410/50000 || Lr: 0.018406 || Task Loss: 0.1606 || KD Loss: 0.0619|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1369|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:09:35 || Estimated Time: 1 day, 19:00:02
2023-07-19 17:30:06,090 semantic_segmentation INFO: Iters: 4420/50000 || Lr: 0.018402 || Task Loss: 0.1914 || KD Loss: 0.0683|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1223|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:10:09 || Estimated Time: 1 day, 18:59:31
2023-07-19 17:30:40,272 semantic_segmentation INFO: Iters: 4430/50000 || Lr: 0.018398 || Task Loss: 0.1900 || KD Loss: 0.0723|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1329|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:10:43 || Estimated Time: 1 day, 18:58:59
2023-07-19 17:31:14,535 semantic_segmentation INFO: Iters: 4440/50000 || Lr: 0.018395 || Task Loss: 0.2147 || KD Loss: 0.0666|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:11:18 || Estimated Time: 1 day, 18:58:28
2023-07-19 17:31:48,673 semantic_segmentation INFO: Iters: 4450/50000 || Lr: 0.018391 || Task Loss: 0.1849 || KD Loss: 0.0708|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1271|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:11:52 || Estimated Time: 1 day, 18:57:56
2023-07-19 17:32:22,874 semantic_segmentation INFO: Iters: 4460/50000 || Lr: 0.018387 || Task Loss: 0.2105 || KD Loss: 0.0753|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1396|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:12:26 || Estimated Time: 1 day, 18:57:25
2023-07-19 17:32:57,160 semantic_segmentation INFO: Iters: 4470/50000 || Lr: 0.018384 || Task Loss: 0.2484 || KD Loss: 0.0847|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1187|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:13:00 || Estimated Time: 1 day, 18:56:54
2023-07-19 17:33:31,289 semantic_segmentation INFO: Iters: 4480/50000 || Lr: 0.018380 || Task Loss: 0.1802 || KD Loss: 0.0715|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1405|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:13:34 || Estimated Time: 1 day, 18:56:22
2023-07-19 17:34:05,632 semantic_segmentation INFO: Iters: 4490/50000 || Lr: 0.018376 || Task Loss: 0.2038 || KD Loss: 0.0744|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1341|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:14:09 || Estimated Time: 1 day, 18:55:52
2023-07-19 17:34:39,953 semantic_segmentation INFO: Iters: 4500/50000 || Lr: 0.018373 || Task Loss: 0.2073 || KD Loss: 0.0738|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1368|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:14:43 || Estimated Time: 1 day, 18:55:21
2023-07-19 17:35:14,153 semantic_segmentation INFO: Iters: 4510/50000 || Lr: 0.018369 || Task Loss: 0.2012 || KD Loss: 0.0753|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1255|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:15:17 || Estimated Time: 1 day, 18:54:50
2023-07-19 17:35:48,380 semantic_segmentation INFO: Iters: 4520/50000 || Lr: 0.018366 || Task Loss: 0.1942 || KD Loss: 0.0765|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1303|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:15:51 || Estimated Time: 1 day, 18:54:19
2023-07-19 17:36:22,775 semantic_segmentation INFO: Iters: 4530/50000 || Lr: 0.018362 || Task Loss: 0.1859 || KD Loss: 0.0651|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1344|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:16:26 || Estimated Time: 1 day, 18:53:49
2023-07-19 17:36:56,958 semantic_segmentation INFO: Iters: 4540/50000 || Lr: 0.018358 || Task Loss: 0.2182 || KD Loss: 0.0774|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1302|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:17:00 || Estimated Time: 1 day, 18:53:18
2023-07-19 17:37:31,281 semantic_segmentation INFO: Iters: 4550/50000 || Lr: 0.018355 || Task Loss: 0.2253 || KD Loss: 0.0965|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1384|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:17:34 || Estimated Time: 1 day, 18:52:47
2023-07-19 17:38:05,566 semantic_segmentation INFO: Iters: 4560/50000 || Lr: 0.018351 || Task Loss: 0.1777 || KD Loss: 0.0737|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1270|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:18:09 || Estimated Time: 1 day, 18:52:16
2023-07-19 17:38:39,840 semantic_segmentation INFO: Iters: 4570/50000 || Lr: 0.018347 || Task Loss: 0.1884 || KD Loss: 0.0702|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1282|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:18:43 || Estimated Time: 1 day, 18:51:46
2023-07-19 17:39:14,091 semantic_segmentation INFO: Iters: 4580/50000 || Lr: 0.018344 || Task Loss: 0.1895 || KD Loss: 0.0604|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1200|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:19:17 || Estimated Time: 1 day, 18:51:14
2023-07-19 17:39:48,288 semantic_segmentation INFO: Iters: 4590/50000 || Lr: 0.018340 || Task Loss: 0.2044 || KD Loss: 0.0765|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1314|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:19:51 || Estimated Time: 1 day, 18:50:42
2023-07-19 17:40:22,364 semantic_segmentation INFO: Iters: 4600/50000 || Lr: 0.018336 || Task Loss: 0.2119 || KD Loss: 0.0705|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1241|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:20:25 || Estimated Time: 1 day, 18:50:09
2023-07-19 17:40:56,580 semantic_segmentation INFO: Iters: 4610/50000 || Lr: 0.018333 || Task Loss: 0.1930 || KD Loss: 0.0855|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1530|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:21:00 || Estimated Time: 1 day, 18:49:38
2023-07-19 17:41:30,721 semantic_segmentation INFO: Iters: 4620/50000 || Lr: 0.018329 || Task Loss: 0.1910 || KD Loss: 0.0714|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1307|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:21:34 || Estimated Time: 1 day, 18:49:06
2023-07-19 17:42:04,770 semantic_segmentation INFO: Iters: 4630/50000 || Lr: 0.018326 || Task Loss: 0.1762 || KD Loss: 0.0635|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1394|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:22:08 || Estimated Time: 1 day, 18:48:33
2023-07-19 17:42:38,851 semantic_segmentation INFO: Iters: 4640/50000 || Lr: 0.018322 || Task Loss: 0.1836 || KD Loss: 0.0578|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1198|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:22:42 || Estimated Time: 1 day, 18:48:00
2023-07-19 17:43:13,016 semantic_segmentation INFO: Iters: 4650/50000 || Lr: 0.018318 || Task Loss: 0.1946 || KD Loss: 0.0631|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1180|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:23:16 || Estimated Time: 1 day, 18:47:28
2023-07-19 17:43:47,121 semantic_segmentation INFO: Iters: 4660/50000 || Lr: 0.018315 || Task Loss: 0.2031 || KD Loss: 0.0685|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1177|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:23:50 || Estimated Time: 1 day, 18:46:55
2023-07-19 17:44:21,156 semantic_segmentation INFO: Iters: 4670/50000 || Lr: 0.018311 || Task Loss: 0.1782 || KD Loss: 0.0647|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1274|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:24:24 || Estimated Time: 1 day, 18:46:22
2023-07-19 17:44:55,298 semantic_segmentation INFO: Iters: 4680/50000 || Lr: 0.018307 || Task Loss: 0.2034 || KD Loss: 0.0772|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1305|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:24:58 || Estimated Time: 1 day, 18:45:49
2023-07-19 17:45:29,377 semantic_segmentation INFO: Iters: 4690/50000 || Lr: 0.018304 || Task Loss: 0.2037 || KD Loss: 0.0727|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1238|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:25:32 || Estimated Time: 1 day, 18:45:16
2023-07-19 17:46:03,525 semantic_segmentation INFO: Iters: 4700/50000 || Lr: 0.018300 || Task Loss: 0.1912 || KD Loss: 0.0746|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1323|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:26:07 || Estimated Time: 1 day, 18:44:44
2023-07-19 17:46:37,548 semantic_segmentation INFO: Iters: 4710/50000 || Lr: 0.018296 || Task Loss: 0.2525 || KD Loss: 0.0943|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1377|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:26:41 || Estimated Time: 1 day, 18:44:11
2023-07-19 17:47:11,669 semantic_segmentation INFO: Iters: 4720/50000 || Lr: 0.018293 || Task Loss: 0.2165 || KD Loss: 0.0758|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1205|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:27:15 || Estimated Time: 1 day, 18:43:38
2023-07-19 17:47:45,813 semantic_segmentation INFO: Iters: 4730/50000 || Lr: 0.018289 || Task Loss: 0.2005 || KD Loss: 0.0708|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1299|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:27:49 || Estimated Time: 1 day, 18:43:07
2023-07-19 17:48:19,980 semantic_segmentation INFO: Iters: 4740/50000 || Lr: 0.018286 || Task Loss: 0.1979 || KD Loss: 0.0691|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1231|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:28:23 || Estimated Time: 1 day, 18:42:34
2023-07-19 17:48:54,249 semantic_segmentation INFO: Iters: 4750/50000 || Lr: 0.018282 || Task Loss: 0.1871 || KD Loss: 0.0834|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1512|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:28:57 || Estimated Time: 1 day, 18:42:03
2023-07-19 17:49:28,507 semantic_segmentation INFO: Iters: 4760/50000 || Lr: 0.018278 || Task Loss: 0.1962 || KD Loss: 0.0726|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1314|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:29:32 || Estimated Time: 1 day, 18:41:31
2023-07-19 17:50:02,653 semantic_segmentation INFO: Iters: 4770/50000 || Lr: 0.018275 || Task Loss: 0.1842 || KD Loss: 0.0856|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1584|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:30:06 || Estimated Time: 1 day, 18:40:59
2023-07-19 17:50:36,922 semantic_segmentation INFO: Iters: 4780/50000 || Lr: 0.018271 || Task Loss: 0.1988 || KD Loss: 0.0683|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1293|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:30:40 || Estimated Time: 1 day, 18:40:28
2023-07-19 17:51:11,218 semantic_segmentation INFO: Iters: 4790/50000 || Lr: 0.018267 || Task Loss: 0.1889 || KD Loss: 0.0659|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1259|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:31:14 || Estimated Time: 1 day, 18:39:57
2023-07-19 17:51:45,428 semantic_segmentation INFO: Iters: 4800/50000 || Lr: 0.018264 || Task Loss: 0.1973 || KD Loss: 0.0684|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1303|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:31:49 || Estimated Time: 1 day, 18:39:25
2023-07-19 17:51:45,503 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 17:51:45,867 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.949, mIoU: 0.641
2023-07-19 17:51:45,895 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.950, mIoU: 0.653
2023-07-19 17:51:45,907 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.949, mIoU: 0.653
2023-07-19 17:51:45,919 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.947, mIoU: 0.648
2023-07-19 17:51:45,931 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.946, mIoU: 0.643
2023-07-19 17:51:45,943 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.946, mIoU: 0.641
2023-07-19 17:51:45,956 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.946, mIoU: 0.642
2023-07-19 17:51:45,968 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.946, mIoU: 0.643
2023-07-19 17:51:45,980 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.945, mIoU: 0.644
2023-07-19 17:51:45,992 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.945, mIoU: 0.646
2023-07-19 17:51:46,005 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.945, mIoU: 0.648
2023-07-19 17:51:46,018 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.944, mIoU: 0.648
2023-07-19 17:51:46,030 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.945, mIoU: 0.650
2023-07-19 17:51:46,043 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.945, mIoU: 0.652
2023-07-19 17:51:46,055 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.946, mIoU: 0.654
2023-07-19 17:51:46,068 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.946, mIoU: 0.655
2023-07-19 17:51:46,080 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.946, mIoU: 0.655
2023-07-19 17:51:46,093 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.946, mIoU: 0.654
2023-07-19 17:51:46,105 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.945, mIoU: 0.653
2023-07-19 17:51:46,118 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.944, mIoU: 0.651
2023-07-19 17:51:46,130 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.944, mIoU: 0.651
2023-07-19 17:51:46,143 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.944, mIoU: 0.650
2023-07-19 17:51:46,156 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.943, mIoU: 0.650
2023-07-19 17:51:46,168 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.943, mIoU: 0.648
2023-07-19 17:51:46,181 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.943, mIoU: 0.647
2023-07-19 17:51:46,194 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.943, mIoU: 0.648
2023-07-19 17:51:46,206 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.943, mIoU: 0.648
2023-07-19 17:51:46,219 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.943, mIoU: 0.648
2023-07-19 17:51:46,232 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.943, mIoU: 0.649
2023-07-19 17:51:46,245 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.944, mIoU: 0.651
2023-07-19 17:51:46,257 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.944, mIoU: 0.652
2023-07-19 17:51:46,270 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.944, mIoU: 0.654
2023-07-19 17:51:46,283 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.944, mIoU: 0.655
2023-07-19 17:51:46,296 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.944, mIoU: 0.656
2023-07-19 17:51:46,309 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.944, mIoU: 0.657
2023-07-19 17:51:46,321 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.944, mIoU: 0.657
2023-07-19 17:51:46,334 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.943, mIoU: 0.657
2023-07-19 17:51:46,347 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.943, mIoU: 0.658
2023-07-19 17:51:46,360 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.943, mIoU: 0.659
2023-07-19 17:51:46,372 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.943, mIoU: 0.660
2023-07-19 17:51:46,385 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.943, mIoU: 0.662
2023-07-19 17:51:46,398 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.943, mIoU: 0.663
2023-07-19 17:51:46,411 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.943, mIoU: 0.665
2023-07-19 17:51:46,424 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.943, mIoU: 0.667
2023-07-19 17:51:46,437 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.942, mIoU: 0.668
2023-07-19 17:51:46,450 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.943, mIoU: 0.670
2023-07-19 17:51:46,462 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.942, mIoU: 0.672
2023-07-19 17:51:46,475 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.943, mIoU: 0.673
2023-07-19 17:51:46,488 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.942, mIoU: 0.674
2023-07-19 17:51:46,501 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.942, mIoU: 0.674
2023-07-19 17:51:46,515 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.941, mIoU: 0.675
2023-07-19 17:51:46,528 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.941, mIoU: 0.675
2023-07-19 17:51:46,541 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.941, mIoU: 0.675
2023-07-19 17:51:46,554 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.940, mIoU: 0.676
2023-07-19 17:51:46,567 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.940, mIoU: 0.676
2023-07-19 17:51:46,579 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.939, mIoU: 0.676
2023-07-19 17:51:46,592 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.939, mIoU: 0.677
2023-07-19 17:51:46,605 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.939, mIoU: 0.677
2023-07-19 17:51:46,619 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.938, mIoU: 0.677
2023-07-19 17:51:46,632 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.938, mIoU: 0.678
2023-07-19 17:51:46,646 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.938, mIoU: 0.678
2023-07-19 17:51:46,659 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.937, mIoU: 0.679
2023-07-19 17:51:46,673 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.937, mIoU: 0.679
2023-07-19 17:51:46,686 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.936, mIoU: 0.680
2023-07-19 17:51:46,700 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.936, mIoU: 0.680
2023-07-19 17:51:46,713 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.935, mIoU: 0.680
2023-07-19 17:51:46,726 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.935, mIoU: 0.681
2023-07-19 17:51:46,740 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.934, mIoU: 0.682
2023-07-19 17:51:46,753 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.934, mIoU: 0.683
2023-07-19 17:51:46,766 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.933, mIoU: 0.683
2023-07-19 17:51:46,780 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.933, mIoU: 0.684
2023-07-19 17:51:46,793 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.932, mIoU: 0.684
2023-07-19 17:51:46,807 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.932, mIoU: 0.684
2023-07-19 17:51:46,820 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.931, mIoU: 0.683
2023-07-19 17:51:46,834 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.931, mIoU: 0.682
2023-07-19 17:51:46,848 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.930, mIoU: 0.680
2023-07-19 17:51:46,861 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.929, mIoU: 0.679
2023-07-19 17:51:46,875 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.929, mIoU: 0.678
2023-07-19 17:51:46,889 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.928, mIoU: 0.677
2023-07-19 17:51:46,902 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.928, mIoU: 0.675
2023-07-19 17:51:46,916 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.927, mIoU: 0.674
2023-07-19 17:51:46,930 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.927, mIoU: 0.673
2023-07-19 17:51:46,943 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.926, mIoU: 0.671
2023-07-19 17:51:46,957 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.925, mIoU: 0.669
2023-07-19 17:51:46,971 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.924, mIoU: 0.668
2023-07-19 17:51:46,984 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.924, mIoU: 0.666
2023-07-19 17:51:46,998 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.923, mIoU: 0.664
2023-07-19 17:51:47,012 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.923, mIoU: 0.661
2023-07-19 17:51:47,027 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.923, mIoU: 0.659
2023-07-19 17:51:47,041 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.922, mIoU: 0.658
2023-07-19 17:51:47,055 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.922, mIoU: 0.657
2023-07-19 17:51:47,070 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.922, mIoU: 0.656
2023-07-19 17:51:47,084 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.922, mIoU: 0.655
2023-07-19 17:51:47,098 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.923, mIoU: 0.655
2023-07-19 17:51:47,112 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.923, mIoU: 0.654
2023-07-19 17:51:47,126 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.923, mIoU: 0.654
2023-07-19 17:51:47,141 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.923, mIoU: 0.653
2023-07-19 17:51:47,155 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.923, mIoU: 0.652
2023-07-19 17:51:47,169 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.923, mIoU: 0.651
2023-07-19 17:51:47,183 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.923, mIoU: 0.650
2023-07-19 17:51:47,197 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.923, mIoU: 0.649
2023-07-19 17:52:21,619 semantic_segmentation INFO: Iters: 4810/50000 || Lr: 0.018260 || Task Loss: 0.2525 || KD Loss: 0.0729|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:32:25 || Estimated Time: 1 day, 18:39:13
2023-07-19 17:52:55,837 semantic_segmentation INFO: Iters: 4820/50000 || Lr: 0.018256 || Task Loss: 0.1906 || KD Loss: 0.0741|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1410|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:32:59 || Estimated Time: 1 day, 18:38:41
2023-07-19 17:53:30,047 semantic_segmentation INFO: Iters: 4830/50000 || Lr: 0.018253 || Task Loss: 0.1980 || KD Loss: 0.0828|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1460|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:33:33 || Estimated Time: 1 day, 18:38:08
2023-07-19 17:54:04,291 semantic_segmentation INFO: Iters: 4840/50000 || Lr: 0.018249 || Task Loss: 0.2087 || KD Loss: 0.0698|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1147|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:34:07 || Estimated Time: 1 day, 18:37:37
2023-07-19 17:54:38,470 semantic_segmentation INFO: Iters: 4850/50000 || Lr: 0.018246 || Task Loss: 0.1975 || KD Loss: 0.0757|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1344|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:34:42 || Estimated Time: 1 day, 18:37:06
2023-07-19 17:55:12,760 semantic_segmentation INFO: Iters: 4860/50000 || Lr: 0.018242 || Task Loss: 0.1786 || KD Loss: 0.0650|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1335|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:35:16 || Estimated Time: 1 day, 18:36:34
2023-07-19 17:55:46,861 semantic_segmentation INFO: Iters: 4870/50000 || Lr: 0.018238 || Task Loss: 0.1719 || KD Loss: 0.0681|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1232|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:35:50 || Estimated Time: 1 day, 18:36:01
2023-07-19 17:56:21,068 semantic_segmentation INFO: Iters: 4880/50000 || Lr: 0.018235 || Task Loss: 0.1931 || KD Loss: 0.0789|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1525|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:36:24 || Estimated Time: 1 day, 18:35:30
2023-07-19 17:56:55,249 semantic_segmentation INFO: Iters: 4890/50000 || Lr: 0.018231 || Task Loss: 0.2097 || KD Loss: 0.0748|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1217|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:36:58 || Estimated Time: 1 day, 18:34:57
2023-07-19 17:57:29,351 semantic_segmentation INFO: Iters: 4900/50000 || Lr: 0.018227 || Task Loss: 0.2028 || KD Loss: 0.0687|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1207|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:37:32 || Estimated Time: 1 day, 18:34:24
2023-07-19 17:58:03,470 semantic_segmentation INFO: Iters: 4910/50000 || Lr: 0.018224 || Task Loss: 0.2058 || KD Loss: 0.0618|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1162|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:38:07 || Estimated Time: 1 day, 18:33:52
2023-07-19 17:58:37,675 semantic_segmentation INFO: Iters: 4920/50000 || Lr: 0.018220 || Task Loss: 0.1933 || KD Loss: 0.0810|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1428|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:38:41 || Estimated Time: 1 day, 18:33:19
2023-07-19 17:59:11,861 semantic_segmentation INFO: Iters: 4930/50000 || Lr: 0.018216 || Task Loss: 0.2105 || KD Loss: 0.0665|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1133|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:39:15 || Estimated Time: 1 day, 18:32:47
2023-07-19 17:59:45,932 semantic_segmentation INFO: Iters: 4940/50000 || Lr: 0.018213 || Task Loss: 0.1682 || KD Loss: 0.0600|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:39:49 || Estimated Time: 1 day, 18:32:14
2023-07-19 18:00:20,093 semantic_segmentation INFO: Iters: 4950/50000 || Lr: 0.018209 || Task Loss: 0.2206 || KD Loss: 0.0808|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1295|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:40:23 || Estimated Time: 1 day, 18:31:41
2023-07-19 18:00:54,216 semantic_segmentation INFO: Iters: 4960/50000 || Lr: 0.018206 || Task Loss: 0.1689 || KD Loss: 0.0679|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1268|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:40:57 || Estimated Time: 1 day, 18:31:09
2023-07-19 18:01:28,215 semantic_segmentation INFO: Iters: 4970/50000 || Lr: 0.018202 || Task Loss: 0.1872 || KD Loss: 0.0596|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1204|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:41:31 || Estimated Time: 1 day, 18:30:35
2023-07-19 18:02:02,355 semantic_segmentation INFO: Iters: 4980/50000 || Lr: 0.018198 || Task Loss: 0.1970 || KD Loss: 0.0637|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1226|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:42:05 || Estimated Time: 1 day, 18:30:02
2023-07-19 18:02:36,411 semantic_segmentation INFO: Iters: 4990/50000 || Lr: 0.018195 || Task Loss: 0.1889 || KD Loss: 0.0736|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1352|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:42:40 || Estimated Time: 1 day, 18:29:29
2023-07-19 18:03:10,535 semantic_segmentation INFO: Iters: 5000/50000 || Lr: 0.018191 || Task Loss: 0.1807 || KD Loss: 0.0748|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1507|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:43:14 || Estimated Time: 1 day, 18:28:57
2023-07-19 18:03:44,635 semantic_segmentation INFO: Iters: 5010/50000 || Lr: 0.018187 || Task Loss: 0.1419 || KD Loss: 0.0510|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1238|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:43:48 || Estimated Time: 1 day, 18:28:24
2023-07-19 18:04:18,857 semantic_segmentation INFO: Iters: 5020/50000 || Lr: 0.018184 || Task Loss: 0.2237 || KD Loss: 0.0744|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1189|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:44:22 || Estimated Time: 1 day, 18:27:51
2023-07-19 18:04:53,016 semantic_segmentation INFO: Iters: 5030/50000 || Lr: 0.018180 || Task Loss: 0.2133 || KD Loss: 0.0742|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1300|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:44:56 || Estimated Time: 1 day, 18:27:19
2023-07-19 18:05:27,118 semantic_segmentation INFO: Iters: 5040/50000 || Lr: 0.018176 || Task Loss: 0.2087 || KD Loss: 0.0689|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1312|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:45:30 || Estimated Time: 1 day, 18:26:46
2023-07-19 18:06:01,208 semantic_segmentation INFO: Iters: 5050/50000 || Lr: 0.018173 || Task Loss: 0.1879 || KD Loss: 0.0781|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1338|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:46:04 || Estimated Time: 1 day, 18:26:13
2023-07-19 18:06:35,260 semantic_segmentation INFO: Iters: 5060/50000 || Lr: 0.018169 || Task Loss: 0.2055 || KD Loss: 0.0627|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1124|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:46:38 || Estimated Time: 1 day, 18:25:39
2023-07-19 18:07:09,379 semantic_segmentation INFO: Iters: 5070/50000 || Lr: 0.018166 || Task Loss: 0.1925 || KD Loss: 0.0631|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1344|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:47:12 || Estimated Time: 1 day, 18:25:07
2023-07-19 18:07:43,447 semantic_segmentation INFO: Iters: 5080/50000 || Lr: 0.018162 || Task Loss: 0.2023 || KD Loss: 0.0707|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1196|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:47:47 || Estimated Time: 1 day, 18:24:33
2023-07-19 18:08:17,534 semantic_segmentation INFO: Iters: 5090/50000 || Lr: 0.018158 || Task Loss: 0.1817 || KD Loss: 0.0551|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1120|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:48:21 || Estimated Time: 1 day, 18:24:01
2023-07-19 18:08:51,714 semantic_segmentation INFO: Iters: 5100/50000 || Lr: 0.018155 || Task Loss: 0.1874 || KD Loss: 0.0687|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1285|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:48:55 || Estimated Time: 1 day, 18:23:28
2023-07-19 18:09:25,844 semantic_segmentation INFO: Iters: 5110/50000 || Lr: 0.018151 || Task Loss: 0.1968 || KD Loss: 0.0753|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1340|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:49:29 || Estimated Time: 1 day, 18:22:55
2023-07-19 18:10:00,023 semantic_segmentation INFO: Iters: 5120/50000 || Lr: 0.018147 || Task Loss: 0.1876 || KD Loss: 0.0695|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1261|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:50:03 || Estimated Time: 1 day, 18:22:23
2023-07-19 18:10:34,266 semantic_segmentation INFO: Iters: 5130/50000 || Lr: 0.018144 || Task Loss: 0.1995 || KD Loss: 0.0636|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1209|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:50:37 || Estimated Time: 1 day, 18:21:51
2023-07-19 18:11:08,428 semantic_segmentation INFO: Iters: 5140/50000 || Lr: 0.018140 || Task Loss: 0.1796 || KD Loss: 0.0575|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1126|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:51:12 || Estimated Time: 1 day, 18:21:19
2023-07-19 18:11:42,672 semantic_segmentation INFO: Iters: 5150/50000 || Lr: 0.018136 || Task Loss: 0.1906 || KD Loss: 0.0649|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:51:46 || Estimated Time: 1 day, 18:20:47
2023-07-19 18:12:16,868 semantic_segmentation INFO: Iters: 5160/50000 || Lr: 0.018133 || Task Loss: 0.1788 || KD Loss: 0.0686|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1175|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:52:20 || Estimated Time: 1 day, 18:20:15
2023-07-19 18:12:51,047 semantic_segmentation INFO: Iters: 5170/50000 || Lr: 0.018129 || Task Loss: 0.1784 || KD Loss: 0.0628|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1206|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:52:54 || Estimated Time: 1 day, 18:19:43
2023-07-19 18:13:25,283 semantic_segmentation INFO: Iters: 5180/50000 || Lr: 0.018126 || Task Loss: 0.1867 || KD Loss: 0.0620|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1267|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:53:28 || Estimated Time: 1 day, 18:19:10
2023-07-19 18:13:59,608 semantic_segmentation INFO: Iters: 5190/50000 || Lr: 0.018122 || Task Loss: 0.1861 || KD Loss: 0.0691|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1335|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:54:03 || Estimated Time: 1 day, 18:18:39
2023-07-19 18:14:33,685 semantic_segmentation INFO: Iters: 5200/50000 || Lr: 0.018118 || Task Loss: 0.1717 || KD Loss: 0.0660|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1355|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:54:37 || Estimated Time: 1 day, 18:18:07
2023-07-19 18:15:07,715 semantic_segmentation INFO: Iters: 5210/50000 || Lr: 0.018115 || Task Loss: 0.1657 || KD Loss: 0.0710|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1420|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:55:11 || Estimated Time: 1 day, 18:17:33
2023-07-19 18:15:41,807 semantic_segmentation INFO: Iters: 5220/50000 || Lr: 0.018111 || Task Loss: 0.1832 || KD Loss: 0.0784|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1435|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:55:45 || Estimated Time: 1 day, 18:16:59
2023-07-19 18:16:15,948 semantic_segmentation INFO: Iters: 5230/50000 || Lr: 0.018107 || Task Loss: 0.2388 || KD Loss: 0.0689|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:56:19 || Estimated Time: 1 day, 18:16:27
2023-07-19 18:16:50,001 semantic_segmentation INFO: Iters: 5240/50000 || Lr: 0.018104 || Task Loss: 0.1996 || KD Loss: 0.0679|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1199|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:56:53 || Estimated Time: 1 day, 18:15:53
2023-07-19 18:17:23,985 semantic_segmentation INFO: Iters: 5250/50000 || Lr: 0.018100 || Task Loss: 0.1978 || KD Loss: 0.0706|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1272|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:57:27 || Estimated Time: 1 day, 18:15:19
2023-07-19 18:17:58,037 semantic_segmentation INFO: Iters: 5260/50000 || Lr: 0.018096 || Task Loss: 0.2010 || KD Loss: 0.0612|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:58:01 || Estimated Time: 1 day, 18:14:46
2023-07-19 18:18:32,090 semantic_segmentation INFO: Iters: 5270/50000 || Lr: 0.018093 || Task Loss: 0.2026 || KD Loss: 0.0703|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1288|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:58:35 || Estimated Time: 1 day, 18:14:12
2023-07-19 18:19:06,023 semantic_segmentation INFO: Iters: 5280/50000 || Lr: 0.018089 || Task Loss: 0.1757 || KD Loss: 0.0654|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1381|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:59:09 || Estimated Time: 1 day, 18:13:38
2023-07-19 18:19:40,160 semantic_segmentation INFO: Iters: 5290/50000 || Lr: 0.018085 || Task Loss: 0.1497 || KD Loss: 0.0540|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 4:59:43 || Estimated Time: 1 day, 18:13:05
2023-07-19 18:20:14,211 semantic_segmentation INFO: Iters: 5300/50000 || Lr: 0.018082 || Task Loss: 0.1860 || KD Loss: 0.0606|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1180|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:00:17 || Estimated Time: 1 day, 18:12:31
2023-07-19 18:20:48,268 semantic_segmentation INFO: Iters: 5310/50000 || Lr: 0.018078 || Task Loss: 0.1673 || KD Loss: 0.0603|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1365|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:00:51 || Estimated Time: 1 day, 18:11:58
2023-07-19 18:21:22,420 semantic_segmentation INFO: Iters: 5320/50000 || Lr: 0.018075 || Task Loss: 0.2131 || KD Loss: 0.0736|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1315|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:01:26 || Estimated Time: 1 day, 18:11:25
2023-07-19 18:21:56,613 semantic_segmentation INFO: Iters: 5330/50000 || Lr: 0.018071 || Task Loss: 0.1886 || KD Loss: 0.0625|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:02:00 || Estimated Time: 1 day, 18:10:53
2023-07-19 18:22:30,832 semantic_segmentation INFO: Iters: 5340/50000 || Lr: 0.018067 || Task Loss: 0.2152 || KD Loss: 0.0832|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1343|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:02:34 || Estimated Time: 1 day, 18:10:21
2023-07-19 18:23:05,023 semantic_segmentation INFO: Iters: 5350/50000 || Lr: 0.018064 || Task Loss: 0.1872 || KD Loss: 0.0602|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1269|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:03:08 || Estimated Time: 1 day, 18:09:48
2023-07-19 18:23:39,229 semantic_segmentation INFO: Iters: 5360/50000 || Lr: 0.018060 || Task Loss: 0.1548 || KD Loss: 0.0583|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1300|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:03:42 || Estimated Time: 1 day, 18:09:16
2023-07-19 18:24:13,461 semantic_segmentation INFO: Iters: 5370/50000 || Lr: 0.018056 || Task Loss: 0.1605 || KD Loss: 0.0666|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1356|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:04:17 || Estimated Time: 1 day, 18:08:44
2023-07-19 18:24:47,759 semantic_segmentation INFO: Iters: 5380/50000 || Lr: 0.018053 || Task Loss: 0.1680 || KD Loss: 0.0617|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1271|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:04:51 || Estimated Time: 1 day, 18:08:13
2023-07-19 18:25:21,915 semantic_segmentation INFO: Iters: 5390/50000 || Lr: 0.018049 || Task Loss: 0.1791 || KD Loss: 0.0770|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1430|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:05:25 || Estimated Time: 1 day, 18:07:40
2023-07-19 18:25:56,193 semantic_segmentation INFO: Iters: 5400/50000 || Lr: 0.018045 || Task Loss: 0.2080 || KD Loss: 0.0749|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1268|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:05:59 || Estimated Time: 1 day, 18:07:08
2023-07-19 18:26:30,374 semantic_segmentation INFO: Iters: 5410/50000 || Lr: 0.018042 || Task Loss: 0.2001 || KD Loss: 0.0717|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1292|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:06:33 || Estimated Time: 1 day, 18:06:36
2023-07-19 18:27:04,409 semantic_segmentation INFO: Iters: 5420/50000 || Lr: 0.018038 || Task Loss: 0.1870 || KD Loss: 0.0665|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1266|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:07:08 || Estimated Time: 1 day, 18:06:03
2023-07-19 18:27:38,649 semantic_segmentation INFO: Iters: 5430/50000 || Lr: 0.018035 || Task Loss: 0.1946 || KD Loss: 0.0709|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1222|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:07:42 || Estimated Time: 1 day, 18:05:30
2023-07-19 18:28:12,816 semantic_segmentation INFO: Iters: 5440/50000 || Lr: 0.018031 || Task Loss: 0.1948 || KD Loss: 0.0641|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:08:16 || Estimated Time: 1 day, 18:04:57
2023-07-19 18:28:46,989 semantic_segmentation INFO: Iters: 5450/50000 || Lr: 0.018027 || Task Loss: 0.1598 || KD Loss: 0.0641|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1347|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:08:50 || Estimated Time: 1 day, 18:04:25
2023-07-19 18:29:21,039 semantic_segmentation INFO: Iters: 5460/50000 || Lr: 0.018024 || Task Loss: 0.1773 || KD Loss: 0.0586|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1184|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:09:24 || Estimated Time: 1 day, 18:03:52
2023-07-19 18:29:55,196 semantic_segmentation INFO: Iters: 5470/50000 || Lr: 0.018020 || Task Loss: 0.1889 || KD Loss: 0.0640|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1218|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:09:58 || Estimated Time: 1 day, 18:03:18
2023-07-19 18:30:29,337 semantic_segmentation INFO: Iters: 5480/50000 || Lr: 0.018016 || Task Loss: 0.2358 || KD Loss: 0.0778|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1169|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:10:32 || Estimated Time: 1 day, 18:02:46
2023-07-19 18:31:03,428 semantic_segmentation INFO: Iters: 5490/50000 || Lr: 0.018013 || Task Loss: 0.1842 || KD Loss: 0.0595|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1227|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:11:07 || Estimated Time: 1 day, 18:02:12
2023-07-19 18:31:37,399 semantic_segmentation INFO: Iters: 5500/50000 || Lr: 0.018009 || Task Loss: 0.2000 || KD Loss: 0.0653|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1236|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:11:41 || Estimated Time: 1 day, 18:01:38
2023-07-19 18:32:11,426 semantic_segmentation INFO: Iters: 5510/50000 || Lr: 0.018005 || Task Loss: 0.1696 || KD Loss: 0.0556|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1181|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:12:15 || Estimated Time: 1 day, 18:01:05
2023-07-19 18:32:45,427 semantic_segmentation INFO: Iters: 5520/50000 || Lr: 0.018002 || Task Loss: 0.1694 || KD Loss: 0.0672|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1243|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:12:49 || Estimated Time: 1 day, 18:00:31
2023-07-19 18:33:19,522 semantic_segmentation INFO: Iters: 5530/50000 || Lr: 0.017998 || Task Loss: 0.1751 || KD Loss: 0.0722|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1409|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:13:23 || Estimated Time: 1 day, 17:59:57
2023-07-19 18:33:53,484 semantic_segmentation INFO: Iters: 5540/50000 || Lr: 0.017994 || Task Loss: 0.1763 || KD Loss: 0.0520|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1156|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:13:57 || Estimated Time: 1 day, 17:59:23
2023-07-19 18:34:27,581 semantic_segmentation INFO: Iters: 5550/50000 || Lr: 0.017991 || Task Loss: 0.1893 || KD Loss: 0.0636|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1296|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:14:31 || Estimated Time: 1 day, 17:58:50
2023-07-19 18:35:01,775 semantic_segmentation INFO: Iters: 5560/50000 || Lr: 0.017987 || Task Loss: 0.1802 || KD Loss: 0.0589|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1185|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:15:05 || Estimated Time: 1 day, 17:58:17
2023-07-19 18:35:35,777 semantic_segmentation INFO: Iters: 5570/50000 || Lr: 0.017984 || Task Loss: 0.1907 || KD Loss: 0.0620|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1201|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:15:39 || Estimated Time: 1 day, 17:57:43
2023-07-19 18:36:09,874 semantic_segmentation INFO: Iters: 5580/50000 || Lr: 0.017980 || Task Loss: 0.2097 || KD Loss: 0.0611|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:16:13 || Estimated Time: 1 day, 17:57:10
2023-07-19 18:36:43,877 semantic_segmentation INFO: Iters: 5590/50000 || Lr: 0.017976 || Task Loss: 0.1541 || KD Loss: 0.0502|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:16:47 || Estimated Time: 1 day, 17:56:36
2023-07-19 18:37:17,955 semantic_segmentation INFO: Iters: 5600/50000 || Lr: 0.017973 || Task Loss: 0.1844 || KD Loss: 0.0630|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1195|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:17:21 || Estimated Time: 1 day, 17:56:03
2023-07-19 18:37:18,030 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 18:37:18,410 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.956, mIoU: 0.665
2023-07-19 18:37:18,437 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.957, mIoU: 0.675
2023-07-19 18:37:18,449 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.956, mIoU: 0.670
2023-07-19 18:37:18,462 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.954, mIoU: 0.661
2023-07-19 18:37:18,474 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.952, mIoU: 0.653
2023-07-19 18:37:18,487 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.952, mIoU: 0.652
2023-07-19 18:37:18,499 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.951, mIoU: 0.652
2023-07-19 18:37:18,511 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.951, mIoU: 0.652
2023-07-19 18:37:18,524 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.950, mIoU: 0.653
2023-07-19 18:37:18,536 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.950, mIoU: 0.655
2023-07-19 18:37:18,549 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.950, mIoU: 0.658
2023-07-19 18:37:18,561 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.949, mIoU: 0.657
2023-07-19 18:37:18,573 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.950, mIoU: 0.659
2023-07-19 18:37:18,586 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.950, mIoU: 0.660
2023-07-19 18:37:18,599 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.950, mIoU: 0.661
2023-07-19 18:37:18,612 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.950, mIoU: 0.662
2023-07-19 18:37:18,625 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.949, mIoU: 0.662
2023-07-19 18:37:18,638 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.949, mIoU: 0.661
2023-07-19 18:37:18,651 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.948, mIoU: 0.660
2023-07-19 18:37:18,663 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.947, mIoU: 0.658
2023-07-19 18:37:18,676 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.947, mIoU: 0.658
2023-07-19 18:37:18,689 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.946, mIoU: 0.656
2023-07-19 18:37:18,702 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.946, mIoU: 0.655
2023-07-19 18:37:18,715 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.946, mIoU: 0.653
2023-07-19 18:37:18,728 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.945, mIoU: 0.652
2023-07-19 18:37:18,741 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.945, mIoU: 0.653
2023-07-19 18:37:18,753 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.946, mIoU: 0.653
2023-07-19 18:37:18,766 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.945, mIoU: 0.653
2023-07-19 18:37:18,779 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.946, mIoU: 0.654
2023-07-19 18:37:18,792 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.946, mIoU: 0.655
2023-07-19 18:37:18,805 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.946, mIoU: 0.656
2023-07-19 18:37:18,818 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.946, mIoU: 0.657
2023-07-19 18:37:18,832 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.946, mIoU: 0.657
2023-07-19 18:37:18,846 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.946, mIoU: 0.658
2023-07-19 18:37:18,859 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.946, mIoU: 0.659
2023-07-19 18:37:18,872 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.945, mIoU: 0.658
2023-07-19 18:37:18,886 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.944, mIoU: 0.657
2023-07-19 18:37:18,900 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.945, mIoU: 0.658
2023-07-19 18:37:18,913 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.944, mIoU: 0.659
2023-07-19 18:37:18,926 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.944, mIoU: 0.660
2023-07-19 18:37:18,939 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.944, mIoU: 0.661
2023-07-19 18:37:18,953 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.945, mIoU: 0.663
2023-07-19 18:37:18,967 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.945, mIoU: 0.665
2023-07-19 18:37:18,980 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.945, mIoU: 0.667
2023-07-19 18:37:18,994 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.944, mIoU: 0.668
2023-07-19 18:37:19,008 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.944, mIoU: 0.670
2023-07-19 18:37:19,023 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.945, mIoU: 0.671
2023-07-19 18:37:19,037 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.945, mIoU: 0.673
2023-07-19 18:37:19,052 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.945, mIoU: 0.674
2023-07-19 18:37:19,066 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.944, mIoU: 0.674
2023-07-19 18:37:19,081 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.943, mIoU: 0.675
2023-07-19 18:37:19,095 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.943, mIoU: 0.676
2023-07-19 18:37:19,110 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.943, mIoU: 0.676
2023-07-19 18:37:19,124 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.942, mIoU: 0.677
2023-07-19 18:37:19,139 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.942, mIoU: 0.677
2023-07-19 18:37:19,153 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.941, mIoU: 0.678
2023-07-19 18:37:19,167 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.941, mIoU: 0.679
2023-07-19 18:37:19,182 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.941, mIoU: 0.679
2023-07-19 18:37:19,196 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.941, mIoU: 0.680
2023-07-19 18:37:19,210 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.940, mIoU: 0.681
2023-07-19 18:37:19,224 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.940, mIoU: 0.682
2023-07-19 18:37:19,238 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.940, mIoU: 0.683
2023-07-19 18:37:19,252 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.939, mIoU: 0.684
2023-07-19 18:37:19,265 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.939, mIoU: 0.685
2023-07-19 18:37:19,279 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.939, mIoU: 0.686
2023-07-19 18:37:19,293 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.938, mIoU: 0.686
2023-07-19 18:37:19,306 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.937, mIoU: 0.687
2023-07-19 18:37:19,320 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.937, mIoU: 0.688
2023-07-19 18:37:19,334 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.937, mIoU: 0.690
2023-07-19 18:37:19,347 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.936, mIoU: 0.691
2023-07-19 18:37:19,360 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.936, mIoU: 0.692
2023-07-19 18:37:19,374 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-19 18:37:19,387 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-19 18:37:19,401 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.934, mIoU: 0.691
2023-07-19 18:37:19,415 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.934, mIoU: 0.690
2023-07-19 18:37:19,429 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.933, mIoU: 0.690
2023-07-19 18:37:19,443 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.933, mIoU: 0.689
2023-07-19 18:37:19,457 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-19 18:37:19,471 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.932, mIoU: 0.687
2023-07-19 18:37:19,485 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.931, mIoU: 0.686
2023-07-19 18:37:19,499 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.931, mIoU: 0.686
2023-07-19 18:37:19,513 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.931, mIoU: 0.685
2023-07-19 18:37:19,527 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.930, mIoU: 0.684
2023-07-19 18:37:19,541 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.929, mIoU: 0.682
2023-07-19 18:37:19,555 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.929, mIoU: 0.681
2023-07-19 18:37:19,568 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.929, mIoU: 0.680
2023-07-19 18:37:19,582 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.929, mIoU: 0.678
2023-07-19 18:37:19,596 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.928, mIoU: 0.676
2023-07-19 18:37:19,610 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.928, mIoU: 0.674
2023-07-19 18:37:19,624 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.928, mIoU: 0.673
2023-07-19 18:37:19,638 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.928, mIoU: 0.672
2023-07-19 18:37:19,652 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.928, mIoU: 0.672
2023-07-19 18:37:19,666 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.928, mIoU: 0.672
2023-07-19 18:37:19,680 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.928, mIoU: 0.672
2023-07-19 18:37:19,694 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.929, mIoU: 0.672
2023-07-19 18:37:19,708 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.929, mIoU: 0.671
2023-07-19 18:37:19,722 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.929, mIoU: 0.671
2023-07-19 18:37:19,735 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.929, mIoU: 0.671
2023-07-19 18:37:19,749 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.929, mIoU: 0.670
2023-07-19 18:37:19,763 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.929, mIoU: 0.670
2023-07-19 18:37:19,777 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.929, mIoU: 0.670
2023-07-19 18:37:54,443 semantic_segmentation INFO: Iters: 5610/50000 || Lr: 0.017969 || Task Loss: 0.1803 || KD Loss: 0.0632|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1238|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:17:58 || Estimated Time: 1 day, 17:55:48
2023-07-19 18:38:28,474 semantic_segmentation INFO: Iters: 5620/50000 || Lr: 0.017965 || Task Loss: 0.1930 || KD Loss: 0.0616|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1228|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:18:32 || Estimated Time: 1 day, 17:55:15
2023-07-19 18:39:02,846 semantic_segmentation INFO: Iters: 5630/50000 || Lr: 0.017962 || Task Loss: 0.1530 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1193|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:19:06 || Estimated Time: 1 day, 17:54:43
2023-07-19 18:39:37,138 semantic_segmentation INFO: Iters: 5640/50000 || Lr: 0.017958 || Task Loss: 0.1760 || KD Loss: 0.0589|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1285|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:19:40 || Estimated Time: 1 day, 17:54:12
2023-07-19 18:40:11,404 semantic_segmentation INFO: Iters: 5650/50000 || Lr: 0.017954 || Task Loss: 0.1787 || KD Loss: 0.0538|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:20:15 || Estimated Time: 1 day, 17:53:40
2023-07-19 18:40:45,591 semantic_segmentation INFO: Iters: 5660/50000 || Lr: 0.017951 || Task Loss: 0.1940 || KD Loss: 0.0667|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1207|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:20:49 || Estimated Time: 1 day, 17:53:07
2023-07-19 18:41:19,646 semantic_segmentation INFO: Iters: 5670/50000 || Lr: 0.017947 || Task Loss: 0.1961 || KD Loss: 0.0737|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1322|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:21:23 || Estimated Time: 1 day, 17:52:33
2023-07-19 18:41:53,861 semantic_segmentation INFO: Iters: 5680/50000 || Lr: 0.017943 || Task Loss: 0.1962 || KD Loss: 0.0711|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1354|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:21:57 || Estimated Time: 1 day, 17:52:01
2023-07-19 18:42:28,084 semantic_segmentation INFO: Iters: 5690/50000 || Lr: 0.017940 || Task Loss: 0.2131 || KD Loss: 0.0789|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1255|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:22:31 || Estimated Time: 1 day, 17:51:29
2023-07-19 18:43:02,267 semantic_segmentation INFO: Iters: 5700/50000 || Lr: 0.017936 || Task Loss: 0.1839 || KD Loss: 0.0622|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1292|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:23:05 || Estimated Time: 1 day, 17:50:56
2023-07-19 18:43:36,425 semantic_segmentation INFO: Iters: 5710/50000 || Lr: 0.017933 || Task Loss: 0.1673 || KD Loss: 0.0572|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1209|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:23:40 || Estimated Time: 1 day, 17:50:23
2023-07-19 18:44:10,528 semantic_segmentation INFO: Iters: 5720/50000 || Lr: 0.017929 || Task Loss: 0.1849 || KD Loss: 0.0583|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1137|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:24:14 || Estimated Time: 1 day, 17:49:50
2023-07-19 18:44:44,750 semantic_segmentation INFO: Iters: 5730/50000 || Lr: 0.017925 || Task Loss: 0.1674 || KD Loss: 0.0573|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1181|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:24:48 || Estimated Time: 1 day, 17:49:18
2023-07-19 18:45:18,895 semantic_segmentation INFO: Iters: 5740/50000 || Lr: 0.017922 || Task Loss: 0.2127 || KD Loss: 0.0755|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1351|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:25:22 || Estimated Time: 1 day, 17:48:44
2023-07-19 18:45:53,049 semantic_segmentation INFO: Iters: 5750/50000 || Lr: 0.017918 || Task Loss: 0.1867 || KD Loss: 0.0640|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1208|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:25:56 || Estimated Time: 1 day, 17:48:12
2023-07-19 18:46:27,107 semantic_segmentation INFO: Iters: 5760/50000 || Lr: 0.017914 || Task Loss: 0.2047 || KD Loss: 0.0726|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1250|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:26:30 || Estimated Time: 1 day, 17:47:39
2023-07-19 18:47:01,272 semantic_segmentation INFO: Iters: 5770/50000 || Lr: 0.017911 || Task Loss: 0.1855 || KD Loss: 0.0723|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1375|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:27:04 || Estimated Time: 1 day, 17:47:05
2023-07-19 18:47:35,385 semantic_segmentation INFO: Iters: 5780/50000 || Lr: 0.017907 || Task Loss: 0.1727 || KD Loss: 0.0700|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1364|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:27:38 || Estimated Time: 1 day, 17:46:32
2023-07-19 18:48:09,503 semantic_segmentation INFO: Iters: 5790/50000 || Lr: 0.017903 || Task Loss: 0.1733 || KD Loss: 0.0668|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1431|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:28:13 || Estimated Time: 1 day, 17:45:59
2023-07-19 18:48:43,528 semantic_segmentation INFO: Iters: 5800/50000 || Lr: 0.017900 || Task Loss: 0.1820 || KD Loss: 0.0677|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1239|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:28:47 || Estimated Time: 1 day, 17:45:25
2023-07-19 18:49:17,457 semantic_segmentation INFO: Iters: 5810/50000 || Lr: 0.017896 || Task Loss: 0.1813 || KD Loss: 0.0592|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1224|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:29:21 || Estimated Time: 1 day, 17:44:51
2023-07-19 18:49:51,619 semantic_segmentation INFO: Iters: 5820/50000 || Lr: 0.017892 || Task Loss: 0.1920 || KD Loss: 0.0592|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1185|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:29:55 || Estimated Time: 1 day, 17:44:17
2023-07-19 18:50:25,669 semantic_segmentation INFO: Iters: 5830/50000 || Lr: 0.017889 || Task Loss: 0.1929 || KD Loss: 0.0629|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1128|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:30:29 || Estimated Time: 1 day, 17:43:44
2023-07-19 18:50:59,717 semantic_segmentation INFO: Iters: 5840/50000 || Lr: 0.017885 || Task Loss: 0.2124 || KD Loss: 0.0667|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:31:03 || Estimated Time: 1 day, 17:43:10
2023-07-19 18:51:33,996 semantic_segmentation INFO: Iters: 5850/50000 || Lr: 0.017881 || Task Loss: 0.2120 || KD Loss: 0.0884|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1351|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:31:37 || Estimated Time: 1 day, 17:42:38
2023-07-19 18:52:08,208 semantic_segmentation INFO: Iters: 5860/50000 || Lr: 0.017878 || Task Loss: 0.1658 || KD Loss: 0.0660|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1256|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:32:11 || Estimated Time: 1 day, 17:42:05
2023-07-19 18:52:42,471 semantic_segmentation INFO: Iters: 5870/50000 || Lr: 0.017874 || Task Loss: 0.1737 || KD Loss: 0.0529|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:32:46 || Estimated Time: 1 day, 17:41:33
2023-07-19 18:53:16,678 semantic_segmentation INFO: Iters: 5880/50000 || Lr: 0.017871 || Task Loss: 0.1800 || KD Loss: 0.0698|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1378|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:33:20 || Estimated Time: 1 day, 17:41:01
2023-07-19 18:53:50,916 semantic_segmentation INFO: Iters: 5890/50000 || Lr: 0.017867 || Task Loss: 0.1770 || KD Loss: 0.0614|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:33:54 || Estimated Time: 1 day, 17:40:28
2023-07-19 18:54:25,083 semantic_segmentation INFO: Iters: 5900/50000 || Lr: 0.017863 || Task Loss: 0.1656 || KD Loss: 0.0606|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1269|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:34:28 || Estimated Time: 1 day, 17:39:56
2023-07-19 18:54:59,232 semantic_segmentation INFO: Iters: 5910/50000 || Lr: 0.017860 || Task Loss: 0.1796 || KD Loss: 0.0602|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1151|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:35:02 || Estimated Time: 1 day, 17:39:23
2023-07-19 18:55:33,386 semantic_segmentation INFO: Iters: 5920/50000 || Lr: 0.017856 || Task Loss: 0.1664 || KD Loss: 0.0653|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1301|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:35:36 || Estimated Time: 1 day, 17:38:50
2023-07-19 18:56:07,483 semantic_segmentation INFO: Iters: 5930/50000 || Lr: 0.017852 || Task Loss: 0.1990 || KD Loss: 0.0571|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1110|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:36:11 || Estimated Time: 1 day, 17:38:17
2023-07-19 18:56:41,745 semantic_segmentation INFO: Iters: 5940/50000 || Lr: 0.017849 || Task Loss: 0.1902 || KD Loss: 0.0602|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:36:45 || Estimated Time: 1 day, 17:37:44
2023-07-19 18:57:15,687 semantic_segmentation INFO: Iters: 5950/50000 || Lr: 0.017845 || Task Loss: 0.1662 || KD Loss: 0.0545|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:37:19 || Estimated Time: 1 day, 17:37:10
2023-07-19 18:57:49,791 semantic_segmentation INFO: Iters: 5960/50000 || Lr: 0.017841 || Task Loss: 0.1579 || KD Loss: 0.0517|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1178|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:37:53 || Estimated Time: 1 day, 17:36:37
2023-07-19 18:58:23,847 semantic_segmentation INFO: Iters: 5970/50000 || Lr: 0.017838 || Task Loss: 0.1812 || KD Loss: 0.0650|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1351|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:38:27 || Estimated Time: 1 day, 17:36:03
2023-07-19 18:58:58,052 semantic_segmentation INFO: Iters: 5980/50000 || Lr: 0.017834 || Task Loss: 0.2030 || KD Loss: 0.0735|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1188|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:39:01 || Estimated Time: 1 day, 17:35:30
2023-07-19 18:59:32,078 semantic_segmentation INFO: Iters: 5990/50000 || Lr: 0.017830 || Task Loss: 0.1809 || KD Loss: 0.0593|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:39:35 || Estimated Time: 1 day, 17:34:57
2023-07-19 19:00:06,139 semantic_segmentation INFO: Iters: 6000/50000 || Lr: 0.017827 || Task Loss: 0.2004 || KD Loss: 0.0581|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1083|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:40:09 || Estimated Time: 1 day, 17:34:23
2023-07-19 19:00:40,224 semantic_segmentation INFO: Iters: 6010/50000 || Lr: 0.017823 || Task Loss: 0.1711 || KD Loss: 0.0503|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:40:43 || Estimated Time: 1 day, 17:33:49
2023-07-19 19:01:14,323 semantic_segmentation INFO: Iters: 6020/50000 || Lr: 0.017820 || Task Loss: 0.1605 || KD Loss: 0.0590|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1337|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:41:17 || Estimated Time: 1 day, 17:33:16
2023-07-19 19:01:48,430 semantic_segmentation INFO: Iters: 6030/50000 || Lr: 0.017816 || Task Loss: 0.1779 || KD Loss: 0.0620|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1226|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:41:52 || Estimated Time: 1 day, 17:32:42
2023-07-19 19:02:22,511 semantic_segmentation INFO: Iters: 6040/50000 || Lr: 0.017812 || Task Loss: 0.1546 || KD Loss: 0.0576|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1374|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:42:26 || Estimated Time: 1 day, 17:32:09
2023-07-19 19:02:56,624 semantic_segmentation INFO: Iters: 6050/50000 || Lr: 0.017809 || Task Loss: 0.1822 || KD Loss: 0.0596|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1173|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:43:00 || Estimated Time: 1 day, 17:31:35
2023-07-19 19:03:30,897 semantic_segmentation INFO: Iters: 6060/50000 || Lr: 0.017805 || Task Loss: 0.1946 || KD Loss: 0.0704|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1280|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:43:34 || Estimated Time: 1 day, 17:31:03
2023-07-19 19:04:05,234 semantic_segmentation INFO: Iters: 6070/50000 || Lr: 0.017801 || Task Loss: 0.1777 || KD Loss: 0.0613|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1222|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:44:08 || Estimated Time: 1 day, 17:30:31
2023-07-19 19:04:39,698 semantic_segmentation INFO: Iters: 6080/50000 || Lr: 0.017798 || Task Loss: 0.1756 || KD Loss: 0.0698|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1274|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:44:43 || Estimated Time: 1 day, 17:30:01
2023-07-19 19:05:14,057 semantic_segmentation INFO: Iters: 6090/50000 || Lr: 0.017794 || Task Loss: 0.1649 || KD Loss: 0.0530|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:45:17 || Estimated Time: 1 day, 17:29:30
2023-07-19 19:05:48,246 semantic_segmentation INFO: Iters: 6100/50000 || Lr: 0.017790 || Task Loss: 0.1739 || KD Loss: 0.0643|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1199|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:45:51 || Estimated Time: 1 day, 17:28:56
2023-07-19 19:06:22,445 semantic_segmentation INFO: Iters: 6110/50000 || Lr: 0.017787 || Task Loss: 0.1934 || KD Loss: 0.0643|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1218|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:46:26 || Estimated Time: 1 day, 17:28:24
2023-07-19 19:06:56,697 semantic_segmentation INFO: Iters: 6120/50000 || Lr: 0.017783 || Task Loss: 0.1974 || KD Loss: 0.0722|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1290|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:47:00 || Estimated Time: 1 day, 17:27:52
2023-07-19 19:07:31,070 semantic_segmentation INFO: Iters: 6130/50000 || Lr: 0.017779 || Task Loss: 0.1917 || KD Loss: 0.0573|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:47:34 || Estimated Time: 1 day, 17:27:20
2023-07-19 19:08:05,253 semantic_segmentation INFO: Iters: 6140/50000 || Lr: 0.017776 || Task Loss: 0.1690 || KD Loss: 0.0639|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1273|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:48:08 || Estimated Time: 1 day, 17:26:47
2023-07-19 19:08:39,641 semantic_segmentation INFO: Iters: 6150/50000 || Lr: 0.017772 || Task Loss: 0.1743 || KD Loss: 0.0516|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1152|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:48:43 || Estimated Time: 1 day, 17:26:16
2023-07-19 19:09:13,871 semantic_segmentation INFO: Iters: 6160/50000 || Lr: 0.017768 || Task Loss: 0.1695 || KD Loss: 0.0559|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1204|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:49:17 || Estimated Time: 1 day, 17:25:43
2023-07-19 19:09:48,044 semantic_segmentation INFO: Iters: 6170/50000 || Lr: 0.017765 || Task Loss: 0.1905 || KD Loss: 0.0575|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1048|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:49:51 || Estimated Time: 1 day, 17:25:10
2023-07-19 19:10:22,245 semantic_segmentation INFO: Iters: 6180/50000 || Lr: 0.017761 || Task Loss: 0.1600 || KD Loss: 0.0517|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1169|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:50:25 || Estimated Time: 1 day, 17:24:37
2023-07-19 19:10:56,284 semantic_segmentation INFO: Iters: 6190/50000 || Lr: 0.017758 || Task Loss: 0.1779 || KD Loss: 0.0578|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1171|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:50:59 || Estimated Time: 1 day, 17:24:04
2023-07-19 19:11:30,518 semantic_segmentation INFO: Iters: 6200/50000 || Lr: 0.017754 || Task Loss: 0.2022 || KD Loss: 0.0900|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1477|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:51:34 || Estimated Time: 1 day, 17:23:31
2023-07-19 19:12:04,688 semantic_segmentation INFO: Iters: 6210/50000 || Lr: 0.017750 || Task Loss: 0.1609 || KD Loss: 0.0628|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1254|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:52:08 || Estimated Time: 1 day, 17:22:58
2023-07-19 19:12:38,766 semantic_segmentation INFO: Iters: 6220/50000 || Lr: 0.017747 || Task Loss: 0.1867 || KD Loss: 0.0583|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1159|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:52:42 || Estimated Time: 1 day, 17:22:25
2023-07-19 19:13:12,905 semantic_segmentation INFO: Iters: 6230/50000 || Lr: 0.017743 || Task Loss: 0.1891 || KD Loss: 0.0642|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1213|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:53:16 || Estimated Time: 1 day, 17:21:52
2023-07-19 19:13:47,057 semantic_segmentation INFO: Iters: 6240/50000 || Lr: 0.017739 || Task Loss: 0.1692 || KD Loss: 0.0572|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1147|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:53:50 || Estimated Time: 1 day, 17:21:18
2023-07-19 19:14:21,111 semantic_segmentation INFO: Iters: 6250/50000 || Lr: 0.017736 || Task Loss: 0.1674 || KD Loss: 0.0538|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1237|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:54:24 || Estimated Time: 1 day, 17:20:45
2023-07-19 19:14:55,276 semantic_segmentation INFO: Iters: 6260/50000 || Lr: 0.017732 || Task Loss: 0.1794 || KD Loss: 0.0584|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1229|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:54:58 || Estimated Time: 1 day, 17:20:11
2023-07-19 19:15:29,326 semantic_segmentation INFO: Iters: 6270/50000 || Lr: 0.017728 || Task Loss: 0.1510 || KD Loss: 0.0560|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1209|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:55:32 || Estimated Time: 1 day, 17:19:37
2023-07-19 19:16:03,368 semantic_segmentation INFO: Iters: 6280/50000 || Lr: 0.017725 || Task Loss: 0.1700 || KD Loss: 0.0653|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1333|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:56:06 || Estimated Time: 1 day, 17:19:04
2023-07-19 19:16:37,495 semantic_segmentation INFO: Iters: 6290/50000 || Lr: 0.017721 || Task Loss: 0.2023 || KD Loss: 0.0831|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1395|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:56:41 || Estimated Time: 1 day, 17:18:30
2023-07-19 19:17:11,599 semantic_segmentation INFO: Iters: 6300/50000 || Lr: 0.017717 || Task Loss: 0.1800 || KD Loss: 0.0555|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:57:15 || Estimated Time: 1 day, 17:17:57
2023-07-19 19:17:45,560 semantic_segmentation INFO: Iters: 6310/50000 || Lr: 0.017714 || Task Loss: 0.1666 || KD Loss: 0.0619|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1266|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:57:49 || Estimated Time: 1 day, 17:17:23
2023-07-19 19:18:19,613 semantic_segmentation INFO: Iters: 6320/50000 || Lr: 0.017710 || Task Loss: 0.1841 || KD Loss: 0.0523|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:58:23 || Estimated Time: 1 day, 17:16:49
2023-07-19 19:18:53,691 semantic_segmentation INFO: Iters: 6330/50000 || Lr: 0.017706 || Task Loss: 0.1840 || KD Loss: 0.0625|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1243|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:58:57 || Estimated Time: 1 day, 17:16:15
2023-07-19 19:19:27,762 semantic_segmentation INFO: Iters: 6340/50000 || Lr: 0.017703 || Task Loss: 0.1953 || KD Loss: 0.0559|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 5:59:31 || Estimated Time: 1 day, 17:15:42
2023-07-19 19:20:01,873 semantic_segmentation INFO: Iters: 6350/50000 || Lr: 0.017699 || Task Loss: 0.1711 || KD Loss: 0.0632|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1229|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:00:05 || Estimated Time: 1 day, 17:15:08
2023-07-19 19:20:35,924 semantic_segmentation INFO: Iters: 6360/50000 || Lr: 0.017695 || Task Loss: 0.1484 || KD Loss: 0.0544|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1167|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:00:39 || Estimated Time: 1 day, 17:14:34
2023-07-19 19:21:09,935 semantic_segmentation INFO: Iters: 6370/50000 || Lr: 0.017692 || Task Loss: 0.1888 || KD Loss: 0.0611|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1107|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:01:13 || Estimated Time: 1 day, 17:14:00
2023-07-19 19:21:43,871 semantic_segmentation INFO: Iters: 6380/50000 || Lr: 0.017688 || Task Loss: 0.1700 || KD Loss: 0.0596|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1247|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:01:47 || Estimated Time: 1 day, 17:13:26
2023-07-19 19:22:18,029 semantic_segmentation INFO: Iters: 6390/50000 || Lr: 0.017685 || Task Loss: 0.1655 || KD Loss: 0.0596|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1288|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:02:21 || Estimated Time: 1 day, 17:12:52
2023-07-19 19:22:52,058 semantic_segmentation INFO: Iters: 6400/50000 || Lr: 0.017681 || Task Loss: 0.1778 || KD Loss: 0.0654|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1325|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:02:55 || Estimated Time: 1 day, 17:12:19
2023-07-19 19:22:52,134 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 19:22:52,502 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.952, mIoU: 0.653
2023-07-19 19:22:52,528 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.954, mIoU: 0.667
2023-07-19 19:22:52,541 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.954, mIoU: 0.663
2023-07-19 19:22:52,553 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.953, mIoU: 0.658
2023-07-19 19:22:52,566 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.951, mIoU: 0.650
2023-07-19 19:22:52,579 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.951, mIoU: 0.650
2023-07-19 19:22:52,592 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.951, mIoU: 0.651
2023-07-19 19:22:52,605 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.950, mIoU: 0.650
2023-07-19 19:22:52,618 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.950, mIoU: 0.652
2023-07-19 19:22:52,631 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.950, mIoU: 0.655
2023-07-19 19:22:52,644 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.950, mIoU: 0.659
2023-07-19 19:22:52,657 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.949, mIoU: 0.658
2023-07-19 19:22:52,670 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.949, mIoU: 0.659
2023-07-19 19:22:52,683 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.949, mIoU: 0.661
2023-07-19 19:22:52,697 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.950, mIoU: 0.662
2023-07-19 19:22:52,711 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.949, mIoU: 0.661
2023-07-19 19:22:52,724 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.949, mIoU: 0.661
2023-07-19 19:22:52,738 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.949, mIoU: 0.660
2023-07-19 19:22:52,752 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.948, mIoU: 0.659
2023-07-19 19:22:52,765 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.947, mIoU: 0.657
2023-07-19 19:22:52,779 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.947, mIoU: 0.657
2023-07-19 19:22:52,793 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.946, mIoU: 0.655
2023-07-19 19:22:52,806 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.946, mIoU: 0.653
2023-07-19 19:22:52,820 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.945, mIoU: 0.652
2023-07-19 19:22:52,833 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.945, mIoU: 0.651
2023-07-19 19:22:52,847 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.945, mIoU: 0.652
2023-07-19 19:22:52,861 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.945, mIoU: 0.652
2023-07-19 19:22:52,875 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.945, mIoU: 0.652
2023-07-19 19:22:52,889 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.946, mIoU: 0.654
2023-07-19 19:22:52,903 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.946, mIoU: 0.655
2023-07-19 19:22:52,917 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.946, mIoU: 0.657
2023-07-19 19:22:52,931 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.946, mIoU: 0.659
2023-07-19 19:22:52,946 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.946, mIoU: 0.660
2023-07-19 19:22:52,960 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.946, mIoU: 0.661
2023-07-19 19:22:52,974 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.946, mIoU: 0.662
2023-07-19 19:22:52,987 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.946, mIoU: 0.662
2023-07-19 19:22:53,001 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.945, mIoU: 0.662
2023-07-19 19:22:53,015 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.945, mIoU: 0.663
2023-07-19 19:22:53,029 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.945, mIoU: 0.664
2023-07-19 19:22:53,043 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.945, mIoU: 0.665
2023-07-19 19:22:53,057 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.945, mIoU: 0.666
2023-07-19 19:22:53,070 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.945, mIoU: 0.668
2023-07-19 19:22:53,084 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.945, mIoU: 0.670
2023-07-19 19:22:53,099 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.945, mIoU: 0.672
2023-07-19 19:22:53,113 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.944, mIoU: 0.673
2023-07-19 19:22:53,126 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.945, mIoU: 0.675
2023-07-19 19:22:53,141 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.944, mIoU: 0.676
2023-07-19 19:22:53,155 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.945, mIoU: 0.678
2023-07-19 19:22:53,169 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.944, mIoU: 0.679
2023-07-19 19:22:53,183 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.944, mIoU: 0.679
2023-07-19 19:22:53,197 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.943, mIoU: 0.679
2023-07-19 19:22:53,211 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.943, mIoU: 0.680
2023-07-19 19:22:53,225 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.942, mIoU: 0.681
2023-07-19 19:22:53,239 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.942, mIoU: 0.682
2023-07-19 19:22:53,253 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.941, mIoU: 0.682
2023-07-19 19:22:53,267 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.941, mIoU: 0.682
2023-07-19 19:22:53,281 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.940, mIoU: 0.682
2023-07-19 19:22:53,295 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.940, mIoU: 0.683
2023-07-19 19:22:53,308 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.940, mIoU: 0.684
2023-07-19 19:22:53,322 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.939, mIoU: 0.684
2023-07-19 19:22:53,336 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.939, mIoU: 0.685
2023-07-19 19:22:53,350 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.939, mIoU: 0.686
2023-07-19 19:22:53,363 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.938, mIoU: 0.686
2023-07-19 19:22:53,377 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.938, mIoU: 0.687
2023-07-19 19:22:53,390 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.937, mIoU: 0.688
2023-07-19 19:22:53,404 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.937, mIoU: 0.688
2023-07-19 19:22:53,418 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.936, mIoU: 0.688
2023-07-19 19:22:53,431 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.936, mIoU: 0.689
2023-07-19 19:22:53,445 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.935, mIoU: 0.690
2023-07-19 19:22:53,458 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.935, mIoU: 0.691
2023-07-19 19:22:53,472 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.934, mIoU: 0.692
2023-07-19 19:22:53,486 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-19 19:22:53,500 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-19 19:22:53,514 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-19 19:22:53,528 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.932, mIoU: 0.691
2023-07-19 19:22:53,542 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.932, mIoU: 0.690
2023-07-19 19:22:53,556 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-19 19:22:53,570 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.931, mIoU: 0.688
2023-07-19 19:22:53,584 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.930, mIoU: 0.687
2023-07-19 19:22:53,598 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.930, mIoU: 0.686
2023-07-19 19:22:53,612 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.930, mIoU: 0.686
2023-07-19 19:22:53,626 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.929, mIoU: 0.684
2023-07-19 19:22:53,639 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.929, mIoU: 0.683
2023-07-19 19:22:53,653 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.928, mIoU: 0.682
2023-07-19 19:22:53,667 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.928, mIoU: 0.681
2023-07-19 19:22:53,681 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.927, mIoU: 0.680
2023-07-19 19:22:53,694 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.927, mIoU: 0.678
2023-07-19 19:22:53,708 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.927, mIoU: 0.676
2023-07-19 19:22:53,721 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.926, mIoU: 0.674
2023-07-19 19:22:53,735 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.926, mIoU: 0.673
2023-07-19 19:22:53,749 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.926, mIoU: 0.672
2023-07-19 19:22:53,762 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.926, mIoU: 0.672
2023-07-19 19:22:53,776 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.927, mIoU: 0.672
2023-07-19 19:22:53,789 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.927, mIoU: 0.671
2023-07-19 19:22:53,803 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.927, mIoU: 0.671
2023-07-19 19:22:53,816 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.927, mIoU: 0.671
2023-07-19 19:22:53,829 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.927, mIoU: 0.671
2023-07-19 19:22:53,843 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.928, mIoU: 0.671
2023-07-19 19:22:53,856 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.928, mIoU: 0.671
2023-07-19 19:22:53,870 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.928, mIoU: 0.670
2023-07-19 19:22:53,883 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.928, mIoU: 0.670
2023-07-19 19:23:28,342 semantic_segmentation INFO: Iters: 6410/50000 || Lr: 0.017677 || Task Loss: 0.1560 || KD Loss: 0.0579|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1254|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:03:31 || Estimated Time: 1 day, 17:12:00
2023-07-19 19:24:02,522 semantic_segmentation INFO: Iters: 6420/50000 || Lr: 0.017674 || Task Loss: 0.1859 || KD Loss: 0.0552|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1096|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:04:06 || Estimated Time: 1 day, 17:11:27
2023-07-19 19:24:36,684 semantic_segmentation INFO: Iters: 6430/50000 || Lr: 0.017670 || Task Loss: 0.1551 || KD Loss: 0.0578|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1266|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:04:40 || Estimated Time: 1 day, 17:10:53
2023-07-19 19:25:10,932 semantic_segmentation INFO: Iters: 6440/50000 || Lr: 0.017666 || Task Loss: 0.1987 || KD Loss: 0.0663|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1146|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:05:14 || Estimated Time: 1 day, 17:10:21
2023-07-19 19:25:45,103 semantic_segmentation INFO: Iters: 6450/50000 || Lr: 0.017663 || Task Loss: 0.1645 || KD Loss: 0.0705|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1253|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:05:48 || Estimated Time: 1 day, 17:09:48
2023-07-19 19:26:19,305 semantic_segmentation INFO: Iters: 6460/50000 || Lr: 0.017659 || Task Loss: 0.1997 || KD Loss: 0.0578|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1103|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:06:22 || Estimated Time: 1 day, 17:09:15
2023-07-19 19:26:53,502 semantic_segmentation INFO: Iters: 6470/50000 || Lr: 0.017655 || Task Loss: 0.1665 || KD Loss: 0.0567|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1100|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:06:57 || Estimated Time: 1 day, 17:08:42
2023-07-19 19:27:27,588 semantic_segmentation INFO: Iters: 6480/50000 || Lr: 0.017652 || Task Loss: 0.2101 || KD Loss: 0.0662|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1191|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:07:31 || Estimated Time: 1 day, 17:08:09
2023-07-19 19:28:01,735 semantic_segmentation INFO: Iters: 6490/50000 || Lr: 0.017648 || Task Loss: 0.1930 || KD Loss: 0.0678|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:08:05 || Estimated Time: 1 day, 17:07:36
2023-07-19 19:28:35,944 semantic_segmentation INFO: Iters: 6500/50000 || Lr: 0.017644 || Task Loss: 0.1726 || KD Loss: 0.0591|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1161|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:08:39 || Estimated Time: 1 day, 17:07:03
2023-07-19 19:29:10,097 semantic_segmentation INFO: Iters: 6510/50000 || Lr: 0.017641 || Task Loss: 0.2047 || KD Loss: 0.0816|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1340|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:09:13 || Estimated Time: 1 day, 17:06:29
2023-07-19 19:29:44,280 semantic_segmentation INFO: Iters: 6520/50000 || Lr: 0.017637 || Task Loss: 0.1771 || KD Loss: 0.0689|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1298|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:09:47 || Estimated Time: 1 day, 17:05:56
2023-07-19 19:30:18,432 semantic_segmentation INFO: Iters: 6530/50000 || Lr: 0.017633 || Task Loss: 0.1891 || KD Loss: 0.0607|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1184|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:10:22 || Estimated Time: 1 day, 17:05:23
2023-07-19 19:30:52,515 semantic_segmentation INFO: Iters: 6540/50000 || Lr: 0.017630 || Task Loss: 0.1850 || KD Loss: 0.0558|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1116|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:10:56 || Estimated Time: 1 day, 17:04:49
2023-07-19 19:31:26,614 semantic_segmentation INFO: Iters: 6550/50000 || Lr: 0.017626 || Task Loss: 0.1706 || KD Loss: 0.0611|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1344|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:11:30 || Estimated Time: 1 day, 17:04:16
2023-07-19 19:32:00,754 semantic_segmentation INFO: Iters: 6560/50000 || Lr: 0.017622 || Task Loss: 0.1924 || KD Loss: 0.0736|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1380|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:12:04 || Estimated Time: 1 day, 17:03:43
2023-07-19 19:32:34,949 semantic_segmentation INFO: Iters: 6570/50000 || Lr: 0.017619 || Task Loss: 0.1854 || KD Loss: 0.0585|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1137|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:12:38 || Estimated Time: 1 day, 17:03:10
2023-07-19 19:33:09,177 semantic_segmentation INFO: Iters: 6580/50000 || Lr: 0.017615 || Task Loss: 0.1383 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1197|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:13:12 || Estimated Time: 1 day, 17:02:37
2023-07-19 19:33:43,154 semantic_segmentation INFO: Iters: 6590/50000 || Lr: 0.017612 || Task Loss: 0.1828 || KD Loss: 0.0579|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:13:46 || Estimated Time: 1 day, 17:02:03
2023-07-19 19:34:17,295 semantic_segmentation INFO: Iters: 6600/50000 || Lr: 0.017608 || Task Loss: 0.1640 || KD Loss: 0.0560|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1149|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:14:20 || Estimated Time: 1 day, 17:01:29
2023-07-19 19:34:51,349 semantic_segmentation INFO: Iters: 6610/50000 || Lr: 0.017604 || Task Loss: 0.1657 || KD Loss: 0.0561|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1201|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:14:54 || Estimated Time: 1 day, 17:00:56
2023-07-19 19:35:25,387 semantic_segmentation INFO: Iters: 6620/50000 || Lr: 0.017601 || Task Loss: 0.1708 || KD Loss: 0.0611|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1245|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:15:28 || Estimated Time: 1 day, 17:00:22
2023-07-19 19:35:59,486 semantic_segmentation INFO: Iters: 6630/50000 || Lr: 0.017597 || Task Loss: 0.2052 || KD Loss: 0.0618|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1119|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:16:03 || Estimated Time: 1 day, 16:59:48
2023-07-19 19:36:33,537 semantic_segmentation INFO: Iters: 6640/50000 || Lr: 0.017593 || Task Loss: 0.1706 || KD Loss: 0.0566|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1114|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:16:37 || Estimated Time: 1 day, 16:59:14
2023-07-19 19:37:07,701 semantic_segmentation INFO: Iters: 6650/50000 || Lr: 0.017590 || Task Loss: 0.1436 || KD Loss: 0.0483|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1194|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:17:11 || Estimated Time: 1 day, 16:58:41
2023-07-19 19:37:41,670 semantic_segmentation INFO: Iters: 6660/50000 || Lr: 0.017586 || Task Loss: 0.1935 || KD Loss: 0.0608|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1180|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:17:45 || Estimated Time: 1 day, 16:58:06
2023-07-19 19:38:15,657 semantic_segmentation INFO: Iters: 6670/50000 || Lr: 0.017582 || Task Loss: 0.1715 || KD Loss: 0.0580|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1158|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:18:19 || Estimated Time: 1 day, 16:57:32
2023-07-19 19:38:49,688 semantic_segmentation INFO: Iters: 6680/50000 || Lr: 0.017579 || Task Loss: 0.1589 || KD Loss: 0.0478|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1101|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:18:53 || Estimated Time: 1 day, 16:56:58
2023-07-19 19:39:23,593 semantic_segmentation INFO: Iters: 6690/50000 || Lr: 0.017575 || Task Loss: 0.1694 || KD Loss: 0.0626|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1269|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:19:27 || Estimated Time: 1 day, 16:56:23
2023-07-19 19:39:57,675 semantic_segmentation INFO: Iters: 6700/50000 || Lr: 0.017571 || Task Loss: 0.1629 || KD Loss: 0.0600|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1265|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:20:01 || Estimated Time: 1 day, 16:55:50
2023-07-19 19:40:31,662 semantic_segmentation INFO: Iters: 6710/50000 || Lr: 0.017568 || Task Loss: 0.1547 || KD Loss: 0.0524|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1177|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:20:35 || Estimated Time: 1 day, 16:55:15
2023-07-19 19:41:05,702 semantic_segmentation INFO: Iters: 6720/50000 || Lr: 0.017564 || Task Loss: 0.2286 || KD Loss: 0.0588|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:21:09 || Estimated Time: 1 day, 16:54:41
2023-07-19 19:41:39,729 semantic_segmentation INFO: Iters: 6730/50000 || Lr: 0.017560 || Task Loss: 0.1880 || KD Loss: 0.0771|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1197|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:21:43 || Estimated Time: 1 day, 16:54:07
2023-07-19 19:42:13,745 semantic_segmentation INFO: Iters: 6740/50000 || Lr: 0.017557 || Task Loss: 0.2036 || KD Loss: 0.0756|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1319|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:22:17 || Estimated Time: 1 day, 16:53:33
2023-07-19 19:42:47,725 semantic_segmentation INFO: Iters: 6750/50000 || Lr: 0.017553 || Task Loss: 0.1944 || KD Loss: 0.0678|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1212|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:22:51 || Estimated Time: 1 day, 16:52:59
2023-07-19 19:43:21,727 semantic_segmentation INFO: Iters: 6760/50000 || Lr: 0.017549 || Task Loss: 0.2091 || KD Loss: 0.0580|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:23:25 || Estimated Time: 1 day, 16:52:25
2023-07-19 19:43:55,835 semantic_segmentation INFO: Iters: 6770/50000 || Lr: 0.017546 || Task Loss: 0.1537 || KD Loss: 0.0566|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1217|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:23:59 || Estimated Time: 1 day, 16:51:51
2023-07-19 19:44:29,911 semantic_segmentation INFO: Iters: 6780/50000 || Lr: 0.017542 || Task Loss: 0.1586 || KD Loss: 0.0515|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1248|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:24:33 || Estimated Time: 1 day, 16:51:18
2023-07-19 19:45:04,087 semantic_segmentation INFO: Iters: 6790/50000 || Lr: 0.017538 || Task Loss: 0.1722 || KD Loss: 0.0582|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:25:07 || Estimated Time: 1 day, 16:50:44
2023-07-19 19:45:38,263 semantic_segmentation INFO: Iters: 6800/50000 || Lr: 0.017535 || Task Loss: 0.1672 || KD Loss: 0.0532|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:25:41 || Estimated Time: 1 day, 16:50:11
2023-07-19 19:46:12,456 semantic_segmentation INFO: Iters: 6810/50000 || Lr: 0.017531 || Task Loss: 0.1684 || KD Loss: 0.0539|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:26:16 || Estimated Time: 1 day, 16:49:38
2023-07-19 19:46:46,674 semantic_segmentation INFO: Iters: 6820/50000 || Lr: 0.017528 || Task Loss: 0.1907 || KD Loss: 0.0712|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1370|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:26:50 || Estimated Time: 1 day, 16:49:05
2023-07-19 19:47:20,714 semantic_segmentation INFO: Iters: 6830/50000 || Lr: 0.017524 || Task Loss: 0.1426 || KD Loss: 0.0577|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1251|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:27:24 || Estimated Time: 1 day, 16:48:32
2023-07-19 19:47:54,691 semantic_segmentation INFO: Iters: 6840/50000 || Lr: 0.017520 || Task Loss: 0.1573 || KD Loss: 0.0575|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:27:58 || Estimated Time: 1 day, 16:47:57
2023-07-19 19:48:28,794 semantic_segmentation INFO: Iters: 6850/50000 || Lr: 0.017517 || Task Loss: 0.1618 || KD Loss: 0.0559|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1172|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:28:32 || Estimated Time: 1 day, 16:47:23
2023-07-19 19:49:02,901 semantic_segmentation INFO: Iters: 6860/50000 || Lr: 0.017513 || Task Loss: 0.1297 || KD Loss: 0.0594|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1288|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:29:06 || Estimated Time: 1 day, 16:46:50
2023-07-19 19:49:37,012 semantic_segmentation INFO: Iters: 6870/50000 || Lr: 0.017509 || Task Loss: 0.2510 || KD Loss: 0.0712|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:29:40 || Estimated Time: 1 day, 16:46:16
2023-07-19 19:50:11,070 semantic_segmentation INFO: Iters: 6880/50000 || Lr: 0.017506 || Task Loss: 0.1739 || KD Loss: 0.0669|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1420|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:30:14 || Estimated Time: 1 day, 16:45:42
2023-07-19 19:50:45,254 semantic_segmentation INFO: Iters: 6890/50000 || Lr: 0.017502 || Task Loss: 0.1850 || KD Loss: 0.0587|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1191|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:30:48 || Estimated Time: 1 day, 16:45:09
2023-07-19 19:51:19,302 semantic_segmentation INFO: Iters: 6900/50000 || Lr: 0.017498 || Task Loss: 0.1297 || KD Loss: 0.0550|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1175|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:31:22 || Estimated Time: 1 day, 16:44:35
2023-07-19 19:51:53,285 semantic_segmentation INFO: Iters: 6910/50000 || Lr: 0.017495 || Task Loss: 0.1569 || KD Loss: 0.0640|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1359|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:31:56 || Estimated Time: 1 day, 16:44:02
2023-07-19 19:52:27,335 semantic_segmentation INFO: Iters: 6920/50000 || Lr: 0.017491 || Task Loss: 0.1684 || KD Loss: 0.0556|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1170|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:32:30 || Estimated Time: 1 day, 16:43:27
2023-07-19 19:53:01,326 semantic_segmentation INFO: Iters: 6930/50000 || Lr: 0.017487 || Task Loss: 0.1916 || KD Loss: 0.0653|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:33:04 || Estimated Time: 1 day, 16:42:53
2023-07-19 19:53:35,400 semantic_segmentation INFO: Iters: 6940/50000 || Lr: 0.017484 || Task Loss: 0.1846 || KD Loss: 0.0575|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:33:39 || Estimated Time: 1 day, 16:42:19
2023-07-19 19:54:09,435 semantic_segmentation INFO: Iters: 6950/50000 || Lr: 0.017480 || Task Loss: 0.1673 || KD Loss: 0.0569|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1157|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:34:13 || Estimated Time: 1 day, 16:41:45
2023-07-19 19:54:43,481 semantic_segmentation INFO: Iters: 6960/50000 || Lr: 0.017476 || Task Loss: 0.1531 || KD Loss: 0.0570|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1380|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:34:47 || Estimated Time: 1 day, 16:41:11
2023-07-19 19:55:17,489 semantic_segmentation INFO: Iters: 6970/50000 || Lr: 0.017473 || Task Loss: 0.1634 || KD Loss: 0.0566|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1237|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:35:21 || Estimated Time: 1 day, 16:40:37
2023-07-19 19:55:51,619 semantic_segmentation INFO: Iters: 6980/50000 || Lr: 0.017469 || Task Loss: 0.1656 || KD Loss: 0.0574|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1226|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:35:55 || Estimated Time: 1 day, 16:40:03
2023-07-19 19:56:25,633 semantic_segmentation INFO: Iters: 6990/50000 || Lr: 0.017465 || Task Loss: 0.1441 || KD Loss: 0.0512|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1193|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:36:29 || Estimated Time: 1 day, 16:39:29
2023-07-19 19:56:59,740 semantic_segmentation INFO: Iters: 7000/50000 || Lr: 0.017462 || Task Loss: 0.1670 || KD Loss: 0.0663|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1302|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:37:03 || Estimated Time: 1 day, 16:38:56
2023-07-19 19:57:33,911 semantic_segmentation INFO: Iters: 7010/50000 || Lr: 0.017458 || Task Loss: 0.1925 || KD Loss: 0.0562|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:37:37 || Estimated Time: 1 day, 16:38:22
2023-07-19 19:58:08,083 semantic_segmentation INFO: Iters: 7020/50000 || Lr: 0.017454 || Task Loss: 0.1522 || KD Loss: 0.0574|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1268|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:38:11 || Estimated Time: 1 day, 16:37:49
2023-07-19 19:58:42,252 semantic_segmentation INFO: Iters: 7030/50000 || Lr: 0.017451 || Task Loss: 0.1717 || KD Loss: 0.0502|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:38:45 || Estimated Time: 1 day, 16:37:16
2023-07-19 19:59:16,369 semantic_segmentation INFO: Iters: 7040/50000 || Lr: 0.017447 || Task Loss: 0.2021 || KD Loss: 0.0790|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1437|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:39:19 || Estimated Time: 1 day, 16:36:43
2023-07-19 19:59:50,525 semantic_segmentation INFO: Iters: 7050/50000 || Lr: 0.017443 || Task Loss: 0.1684 || KD Loss: 0.0582|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1197|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:39:54 || Estimated Time: 1 day, 16:36:10
2023-07-19 20:00:24,703 semantic_segmentation INFO: Iters: 7060/50000 || Lr: 0.017440 || Task Loss: 0.1503 || KD Loss: 0.0540|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1199|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:40:28 || Estimated Time: 1 day, 16:35:36
2023-07-19 20:00:58,848 semantic_segmentation INFO: Iters: 7070/50000 || Lr: 0.017436 || Task Loss: 0.1869 || KD Loss: 0.0686|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1280|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:41:02 || Estimated Time: 1 day, 16:35:03
2023-07-19 20:01:32,900 semantic_segmentation INFO: Iters: 7080/50000 || Lr: 0.017433 || Task Loss: 0.1731 || KD Loss: 0.0593|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1132|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:41:36 || Estimated Time: 1 day, 16:34:29
2023-07-19 20:02:07,018 semantic_segmentation INFO: Iters: 7090/50000 || Lr: 0.017429 || Task Loss: 0.1664 || KD Loss: 0.0562|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1135|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:42:10 || Estimated Time: 1 day, 16:33:55
2023-07-19 20:02:41,077 semantic_segmentation INFO: Iters: 7100/50000 || Lr: 0.017425 || Task Loss: 0.1913 || KD Loss: 0.0535|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:42:44 || Estimated Time: 1 day, 16:33:22
2023-07-19 20:03:15,160 semantic_segmentation INFO: Iters: 7110/50000 || Lr: 0.017422 || Task Loss: 0.1852 || KD Loss: 0.0637|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1293|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:43:18 || Estimated Time: 1 day, 16:32:48
2023-07-19 20:03:49,246 semantic_segmentation INFO: Iters: 7120/50000 || Lr: 0.017418 || Task Loss: 0.1827 || KD Loss: 0.0613|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1208|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:43:52 || Estimated Time: 1 day, 16:32:15
2023-07-19 20:04:23,332 semantic_segmentation INFO: Iters: 7130/50000 || Lr: 0.017414 || Task Loss: 0.1927 || KD Loss: 0.0477|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:44:26 || Estimated Time: 1 day, 16:31:41
2023-07-19 20:04:57,427 semantic_segmentation INFO: Iters: 7140/50000 || Lr: 0.017411 || Task Loss: 0.1464 || KD Loss: 0.0516|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1155|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:45:01 || Estimated Time: 1 day, 16:31:07
2023-07-19 20:05:31,510 semantic_segmentation INFO: Iters: 7150/50000 || Lr: 0.017407 || Task Loss: 0.1443 || KD Loss: 0.0562|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1235|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:45:35 || Estimated Time: 1 day, 16:30:33
2023-07-19 20:06:05,630 semantic_segmentation INFO: Iters: 7160/50000 || Lr: 0.017403 || Task Loss: 0.1899 || KD Loss: 0.0567|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:46:09 || Estimated Time: 1 day, 16:29:59
2023-07-19 20:06:39,682 semantic_segmentation INFO: Iters: 7170/50000 || Lr: 0.017400 || Task Loss: 0.2021 || KD Loss: 0.0628|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1192|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:46:43 || Estimated Time: 1 day, 16:29:26
2023-07-19 20:07:13,795 semantic_segmentation INFO: Iters: 7180/50000 || Lr: 0.017396 || Task Loss: 0.1773 || KD Loss: 0.0533|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:47:17 || Estimated Time: 1 day, 16:28:52
2023-07-19 20:07:47,698 semantic_segmentation INFO: Iters: 7190/50000 || Lr: 0.017392 || Task Loss: 0.1555 || KD Loss: 0.0526|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:47:51 || Estimated Time: 1 day, 16:28:18
2023-07-19 20:08:21,657 semantic_segmentation INFO: Iters: 7200/50000 || Lr: 0.017389 || Task Loss: 0.1586 || KD Loss: 0.0553|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1187|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:48:25 || Estimated Time: 1 day, 16:27:43
2023-07-19 20:08:21,725 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 20:08:22,085 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.950, mIoU: 0.646
2023-07-19 20:08:22,113 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.950, mIoU: 0.653
2023-07-19 20:08:22,126 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.950, mIoU: 0.651
2023-07-19 20:08:22,139 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.948, mIoU: 0.643
2023-07-19 20:08:22,153 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.947, mIoU: 0.638
2023-07-19 20:08:22,166 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.947, mIoU: 0.637
2023-07-19 20:08:22,179 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.947, mIoU: 0.639
2023-07-19 20:08:22,192 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.947, mIoU: 0.639
2023-07-19 20:08:22,205 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.946, mIoU: 0.640
2023-07-19 20:08:22,218 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.946, mIoU: 0.643
2023-07-19 20:08:22,231 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.946, mIoU: 0.647
2023-07-19 20:08:22,244 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.945, mIoU: 0.646
2023-07-19 20:08:22,258 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.945, mIoU: 0.648
2023-07-19 20:08:22,272 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.945, mIoU: 0.650
2023-07-19 20:08:22,286 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.946, mIoU: 0.651
2023-07-19 20:08:22,300 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.946, mIoU: 0.651
2023-07-19 20:08:22,314 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.945, mIoU: 0.650
2023-07-19 20:08:22,328 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.945, mIoU: 0.649
2023-07-19 20:08:22,342 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.944, mIoU: 0.647
2023-07-19 20:08:22,356 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.943, mIoU: 0.646
2023-07-19 20:08:22,370 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.943, mIoU: 0.646
2023-07-19 20:08:22,384 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.942, mIoU: 0.644
2023-07-19 20:08:22,398 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.942, mIoU: 0.643
2023-07-19 20:08:22,412 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.941, mIoU: 0.641
2023-07-19 20:08:22,426 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.941, mIoU: 0.640
2023-07-19 20:08:22,439 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.941, mIoU: 0.641
2023-07-19 20:08:22,454 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.941, mIoU: 0.641
2023-07-19 20:08:22,468 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.941, mIoU: 0.641
2023-07-19 20:08:22,482 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.941, mIoU: 0.642
2023-07-19 20:08:22,496 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.941, mIoU: 0.643
2023-07-19 20:08:22,510 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.942, mIoU: 0.645
2023-07-19 20:08:22,525 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.942, mIoU: 0.646
2023-07-19 20:08:22,539 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.942, mIoU: 0.647
2023-07-19 20:08:22,553 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.942, mIoU: 0.648
2023-07-19 20:08:22,566 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.942, mIoU: 0.649
2023-07-19 20:08:22,580 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.941, mIoU: 0.648
2023-07-19 20:08:22,594 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.940, mIoU: 0.648
2023-07-19 20:08:22,608 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.940, mIoU: 0.649
2023-07-19 20:08:22,622 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.940, mIoU: 0.650
2023-07-19 20:08:22,636 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.940, mIoU: 0.651
2023-07-19 20:08:22,650 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.940, mIoU: 0.652
2023-07-19 20:08:22,664 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.940, mIoU: 0.653
2023-07-19 20:08:22,678 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.940, mIoU: 0.654
2023-07-19 20:08:22,692 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.940, mIoU: 0.656
2023-07-19 20:08:22,706 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.939, mIoU: 0.657
2023-07-19 20:08:22,720 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.939, mIoU: 0.659
2023-07-19 20:08:22,735 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.939, mIoU: 0.660
2023-07-19 20:08:22,749 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.939, mIoU: 0.662
2023-07-19 20:08:22,763 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.939, mIoU: 0.663
2023-07-19 20:08:22,777 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.939, mIoU: 0.664
2023-07-19 20:08:22,791 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.938, mIoU: 0.665
2023-07-19 20:08:22,806 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.938, mIoU: 0.666
2023-07-19 20:08:22,820 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.938, mIoU: 0.667
2023-07-19 20:08:22,835 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.937, mIoU: 0.668
2023-07-19 20:08:22,849 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.937, mIoU: 0.670
2023-07-19 20:08:22,862 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.936, mIoU: 0.670
2023-07-19 20:08:22,876 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.936, mIoU: 0.671
2023-07-19 20:08:22,890 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.936, mIoU: 0.672
2023-07-19 20:08:22,904 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.936, mIoU: 0.674
2023-07-19 20:08:22,918 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.936, mIoU: 0.675
2023-07-19 20:08:22,932 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.935, mIoU: 0.676
2023-07-19 20:08:22,945 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.935, mIoU: 0.677
2023-07-19 20:08:22,959 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.935, mIoU: 0.679
2023-07-19 20:08:22,973 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.934, mIoU: 0.679
2023-07-19 20:08:22,986 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.934, mIoU: 0.680
2023-07-19 20:08:23,000 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.933, mIoU: 0.681
2023-07-19 20:08:23,013 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.933, mIoU: 0.682
2023-07-19 20:08:23,027 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.932, mIoU: 0.683
2023-07-19 20:08:23,040 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.932, mIoU: 0.684
2023-07-19 20:08:23,055 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.931, mIoU: 0.685
2023-07-19 20:08:23,069 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.931, mIoU: 0.686
2023-07-19 20:08:23,083 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.930, mIoU: 0.686
2023-07-19 20:08:23,097 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.930, mIoU: 0.686
2023-07-19 20:08:23,112 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.930, mIoU: 0.685
2023-07-19 20:08:23,126 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.929, mIoU: 0.684
2023-07-19 20:08:23,141 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.929, mIoU: 0.683
2023-07-19 20:08:23,155 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.928, mIoU: 0.683
2023-07-19 20:08:23,169 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.928, mIoU: 0.682
2023-07-19 20:08:23,184 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.928, mIoU: 0.681
2023-07-19 20:08:23,198 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.927, mIoU: 0.680
2023-07-19 20:08:23,212 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.927, mIoU: 0.680
2023-07-19 20:08:23,227 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.927, mIoU: 0.678
2023-07-19 20:08:23,241 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.926, mIoU: 0.676
2023-07-19 20:08:23,255 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.925, mIoU: 0.674
2023-07-19 20:08:23,269 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.925, mIoU: 0.672
2023-07-19 20:08:23,282 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.925, mIoU: 0.670
2023-07-19 20:08:23,296 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.924, mIoU: 0.668
2023-07-19 20:08:23,309 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.924, mIoU: 0.665
2023-07-19 20:08:23,323 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.924, mIoU: 0.663
2023-07-19 20:08:23,336 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.924, mIoU: 0.662
2023-07-19 20:08:23,350 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.924, mIoU: 0.662
2023-07-19 20:08:23,363 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.924, mIoU: 0.661
2023-07-19 20:08:23,377 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.924, mIoU: 0.661
2023-07-19 20:08:23,390 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.924, mIoU: 0.661
2023-07-19 20:08:23,403 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.925, mIoU: 0.661
2023-07-19 20:08:23,416 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.925, mIoU: 0.661
2023-07-19 20:08:23,430 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.925, mIoU: 0.661
2023-07-19 20:08:23,443 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.925, mIoU: 0.661
2023-07-19 20:08:23,457 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.925, mIoU: 0.661
2023-07-19 20:08:23,470 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.926, mIoU: 0.661
2023-07-19 20:08:23,485 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.926, mIoU: 0.660
2023-07-19 20:08:57,602 semantic_segmentation INFO: Iters: 7210/50000 || Lr: 0.017385 || Task Loss: 0.1428 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1214|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:49:01 || Estimated Time: 1 day, 16:27:20
2023-07-19 20:09:31,622 semantic_segmentation INFO: Iters: 7220/50000 || Lr: 0.017381 || Task Loss: 0.1740 || KD Loss: 0.0587|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:49:35 || Estimated Time: 1 day, 16:26:46
2023-07-19 20:10:05,627 semantic_segmentation INFO: Iters: 7230/50000 || Lr: 0.017378 || Task Loss: 0.1528 || KD Loss: 0.0534|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:50:09 || Estimated Time: 1 day, 16:26:12
2023-07-19 20:10:39,580 semantic_segmentation INFO: Iters: 7240/50000 || Lr: 0.017374 || Task Loss: 0.1847 || KD Loss: 0.0614|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1175|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:50:43 || Estimated Time: 1 day, 16:25:37
2023-07-19 20:11:13,609 semantic_segmentation INFO: Iters: 7250/50000 || Lr: 0.017370 || Task Loss: 0.1557 || KD Loss: 0.0532|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1241|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:51:17 || Estimated Time: 1 day, 16:25:03
2023-07-19 20:11:47,647 semantic_segmentation INFO: Iters: 7260/50000 || Lr: 0.017367 || Task Loss: 0.1734 || KD Loss: 0.0596|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1289|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:51:51 || Estimated Time: 1 day, 16:24:29
2023-07-19 20:12:21,616 semantic_segmentation INFO: Iters: 7270/50000 || Lr: 0.017363 || Task Loss: 0.1790 || KD Loss: 0.0695|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1336|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:52:25 || Estimated Time: 1 day, 16:23:55
2023-07-19 20:12:55,473 semantic_segmentation INFO: Iters: 7280/50000 || Lr: 0.017359 || Task Loss: 0.1670 || KD Loss: 0.0608|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:52:59 || Estimated Time: 1 day, 16:23:20
2023-07-19 20:13:29,488 semantic_segmentation INFO: Iters: 7290/50000 || Lr: 0.017356 || Task Loss: 0.1806 || KD Loss: 0.0654|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:53:33 || Estimated Time: 1 day, 16:22:45
2023-07-19 20:14:03,432 semantic_segmentation INFO: Iters: 7300/50000 || Lr: 0.017352 || Task Loss: 0.1549 || KD Loss: 0.0568|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1155|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:54:07 || Estimated Time: 1 day, 16:22:11
2023-07-19 20:14:37,374 semantic_segmentation INFO: Iters: 7310/50000 || Lr: 0.017348 || Task Loss: 0.1745 || KD Loss: 0.0584|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1134|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:54:40 || Estimated Time: 1 day, 16:21:36
2023-07-19 20:15:11,398 semantic_segmentation INFO: Iters: 7320/50000 || Lr: 0.017345 || Task Loss: 0.1773 || KD Loss: 0.0649|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1312|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:55:15 || Estimated Time: 1 day, 16:21:02
2023-07-19 20:15:45,460 semantic_segmentation INFO: Iters: 7330/50000 || Lr: 0.017341 || Task Loss: 0.1556 || KD Loss: 0.0523|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1129|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:55:49 || Estimated Time: 1 day, 16:20:29
2023-07-19 20:16:19,511 semantic_segmentation INFO: Iters: 7340/50000 || Lr: 0.017337 || Task Loss: 0.1626 || KD Loss: 0.0530|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1238|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:56:23 || Estimated Time: 1 day, 16:19:54
2023-07-19 20:16:53,647 semantic_segmentation INFO: Iters: 7350/50000 || Lr: 0.017334 || Task Loss: 0.1529 || KD Loss: 0.0528|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1250|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:56:57 || Estimated Time: 1 day, 16:19:21
2023-07-19 20:17:27,766 semantic_segmentation INFO: Iters: 7360/50000 || Lr: 0.017330 || Task Loss: 0.1601 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:57:31 || Estimated Time: 1 day, 16:18:47
2023-07-19 20:18:01,867 semantic_segmentation INFO: Iters: 7370/50000 || Lr: 0.017326 || Task Loss: 0.2206 || KD Loss: 0.0612|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:58:05 || Estimated Time: 1 day, 16:18:14
2023-07-19 20:18:36,042 semantic_segmentation INFO: Iters: 7380/50000 || Lr: 0.017323 || Task Loss: 0.1556 || KD Loss: 0.0585|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1234|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:58:39 || Estimated Time: 1 day, 16:17:40
2023-07-19 20:19:10,034 semantic_segmentation INFO: Iters: 7390/50000 || Lr: 0.017319 || Task Loss: 0.1775 || KD Loss: 0.0545|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1164|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:59:13 || Estimated Time: 1 day, 16:17:07
2023-07-19 20:19:44,073 semantic_segmentation INFO: Iters: 7400/50000 || Lr: 0.017315 || Task Loss: 0.1822 || KD Loss: 0.0549|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1106|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:59:47 || Estimated Time: 1 day, 16:16:32
2023-07-19 20:20:18,029 semantic_segmentation INFO: Iters: 7410/50000 || Lr: 0.017312 || Task Loss: 0.1697 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1110|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:00:21 || Estimated Time: 1 day, 16:15:58
2023-07-19 20:20:52,095 semantic_segmentation INFO: Iters: 7420/50000 || Lr: 0.017308 || Task Loss: 0.1591 || KD Loss: 0.0594|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1295|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:00:55 || Estimated Time: 1 day, 16:15:24
2023-07-19 20:21:26,145 semantic_segmentation INFO: Iters: 7430/50000 || Lr: 0.017305 || Task Loss: 0.1547 || KD Loss: 0.0538|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1246|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:01:29 || Estimated Time: 1 day, 16:14:50
2023-07-19 20:22:00,053 semantic_segmentation INFO: Iters: 7440/50000 || Lr: 0.017301 || Task Loss: 0.1632 || KD Loss: 0.0525|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1235|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:02:03 || Estimated Time: 1 day, 16:14:15
2023-07-19 20:22:33,988 semantic_segmentation INFO: Iters: 7450/50000 || Lr: 0.017297 || Task Loss: 0.1672 || KD Loss: 0.0491|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1084|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:02:37 || Estimated Time: 1 day, 16:13:41
2023-07-19 20:23:07,879 semantic_segmentation INFO: Iters: 7460/50000 || Lr: 0.017294 || Task Loss: 0.1653 || KD Loss: 0.0567|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1217|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:03:11 || Estimated Time: 1 day, 16:13:06
2023-07-19 20:23:41,820 semantic_segmentation INFO: Iters: 7470/50000 || Lr: 0.017290 || Task Loss: 0.1575 || KD Loss: 0.0561|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1168|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:03:45 || Estimated Time: 1 day, 16:12:31
2023-07-19 20:24:15,886 semantic_segmentation INFO: Iters: 7480/50000 || Lr: 0.017286 || Task Loss: 0.1655 || KD Loss: 0.0626|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1278|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:04:19 || Estimated Time: 1 day, 16:11:57
2023-07-19 20:24:49,804 semantic_segmentation INFO: Iters: 7490/50000 || Lr: 0.017283 || Task Loss: 0.1680 || KD Loss: 0.0536|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:04:53 || Estimated Time: 1 day, 16:11:23
2023-07-19 20:25:23,751 semantic_segmentation INFO: Iters: 7500/50000 || Lr: 0.017279 || Task Loss: 0.1693 || KD Loss: 0.0661|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1304|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:05:27 || Estimated Time: 1 day, 16:10:48
2023-07-19 20:25:57,747 semantic_segmentation INFO: Iters: 7510/50000 || Lr: 0.017275 || Task Loss: 0.1584 || KD Loss: 0.0572|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:06:01 || Estimated Time: 1 day, 16:10:14
2023-07-19 20:26:31,598 semantic_segmentation INFO: Iters: 7520/50000 || Lr: 0.017272 || Task Loss: 0.1692 || KD Loss: 0.0666|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1273|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:06:35 || Estimated Time: 1 day, 16:09:39
2023-07-19 20:27:05,524 semantic_segmentation INFO: Iters: 7530/50000 || Lr: 0.017268 || Task Loss: 0.1704 || KD Loss: 0.0631|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1354|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:07:09 || Estimated Time: 1 day, 16:09:04
2023-07-19 20:27:39,532 semantic_segmentation INFO: Iters: 7540/50000 || Lr: 0.017264 || Task Loss: 0.1370 || KD Loss: 0.0446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:07:43 || Estimated Time: 1 day, 16:08:30
2023-07-19 20:28:13,369 semantic_segmentation INFO: Iters: 7550/50000 || Lr: 0.017261 || Task Loss: 0.1405 || KD Loss: 0.0555|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1220|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:08:16 || Estimated Time: 1 day, 16:07:55
2023-07-19 20:28:47,339 semantic_segmentation INFO: Iters: 7560/50000 || Lr: 0.017257 || Task Loss: 0.1431 || KD Loss: 0.0481|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1203|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:08:50 || Estimated Time: 1 day, 16:07:20
2023-07-19 20:29:21,314 semantic_segmentation INFO: Iters: 7570/50000 || Lr: 0.017253 || Task Loss: 0.1638 || KD Loss: 0.0560|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1177|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:09:24 || Estimated Time: 1 day, 16:06:46
2023-07-19 20:29:55,079 semantic_segmentation INFO: Iters: 7580/50000 || Lr: 0.017250 || Task Loss: 0.1504 || KD Loss: 0.0520|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:09:58 || Estimated Time: 1 day, 16:06:10
2023-07-19 20:30:28,854 semantic_segmentation INFO: Iters: 7590/50000 || Lr: 0.017246 || Task Loss: 0.1370 || KD Loss: 0.0495|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1142|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:10:32 || Estimated Time: 1 day, 16:05:35
2023-07-19 20:31:02,662 semantic_segmentation INFO: Iters: 7600/50000 || Lr: 0.017242 || Task Loss: 0.1723 || KD Loss: 0.0537|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:11:06 || Estimated Time: 1 day, 16:05:00
2023-07-19 20:31:36,541 semantic_segmentation INFO: Iters: 7610/50000 || Lr: 0.017239 || Task Loss: 0.1775 || KD Loss: 0.0675|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1347|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:11:40 || Estimated Time: 1 day, 16:04:25
2023-07-19 20:32:10,365 semantic_segmentation INFO: Iters: 7620/50000 || Lr: 0.017235 || Task Loss: 0.1570 || KD Loss: 0.0591|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:12:13 || Estimated Time: 1 day, 16:03:49
2023-07-19 20:32:44,080 semantic_segmentation INFO: Iters: 7630/50000 || Lr: 0.017231 || Task Loss: 0.2013 || KD Loss: 0.0582|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:12:47 || Estimated Time: 1 day, 16:03:14
2023-07-19 20:33:17,838 semantic_segmentation INFO: Iters: 7640/50000 || Lr: 0.017228 || Task Loss: 0.1793 || KD Loss: 0.0667|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1180|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:13:21 || Estimated Time: 1 day, 16:02:38
2023-07-19 20:33:51,635 semantic_segmentation INFO: Iters: 7650/50000 || Lr: 0.017224 || Task Loss: 0.1491 || KD Loss: 0.0473|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1174|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:13:55 || Estimated Time: 1 day, 16:02:03
2023-07-19 20:34:25,632 semantic_segmentation INFO: Iters: 7660/50000 || Lr: 0.017220 || Task Loss: 0.1546 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1154|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:14:29 || Estimated Time: 1 day, 16:01:29
2023-07-19 20:34:59,462 semantic_segmentation INFO: Iters: 7670/50000 || Lr: 0.017217 || Task Loss: 0.1400 || KD Loss: 0.0461|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1116|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:15:03 || Estimated Time: 1 day, 16:00:54
2023-07-19 20:35:33,407 semantic_segmentation INFO: Iters: 7680/50000 || Lr: 0.017213 || Task Loss: 0.1581 || KD Loss: 0.0544|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1187|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:15:37 || Estimated Time: 1 day, 16:00:19
2023-07-19 20:36:07,342 semantic_segmentation INFO: Iters: 7690/50000 || Lr: 0.017209 || Task Loss: 0.1390 || KD Loss: 0.0521|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1265|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:16:10 || Estimated Time: 1 day, 15:59:44
2023-07-19 20:36:41,184 semantic_segmentation INFO: Iters: 7700/50000 || Lr: 0.017206 || Task Loss: 0.1452 || KD Loss: 0.0467|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:16:44 || Estimated Time: 1 day, 15:59:09
2023-07-19 20:37:15,040 semantic_segmentation INFO: Iters: 7710/50000 || Lr: 0.017202 || Task Loss: 0.1563 || KD Loss: 0.0593|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1158|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:17:18 || Estimated Time: 1 day, 15:58:35
2023-07-19 20:37:49,016 semantic_segmentation INFO: Iters: 7720/50000 || Lr: 0.017198 || Task Loss: 0.1779 || KD Loss: 0.0712|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1375|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:17:52 || Estimated Time: 1 day, 15:58:00
2023-07-19 20:38:22,840 semantic_segmentation INFO: Iters: 7730/50000 || Lr: 0.017195 || Task Loss: 0.1559 || KD Loss: 0.0608|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1330|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:18:26 || Estimated Time: 1 day, 15:57:25
2023-07-19 20:38:56,710 semantic_segmentation INFO: Iters: 7740/50000 || Lr: 0.017191 || Task Loss: 0.1866 || KD Loss: 0.0644|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1191|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:19:00 || Estimated Time: 1 day, 15:56:50
2023-07-19 20:39:30,630 semantic_segmentation INFO: Iters: 7750/50000 || Lr: 0.017187 || Task Loss: 0.1529 || KD Loss: 0.0528|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1266|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:19:34 || Estimated Time: 1 day, 15:56:15
2023-07-19 20:40:04,411 semantic_segmentation INFO: Iters: 7760/50000 || Lr: 0.017184 || Task Loss: 0.1686 || KD Loss: 0.0586|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1285|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:20:08 || Estimated Time: 1 day, 15:55:40
2023-07-19 20:40:38,192 semantic_segmentation INFO: Iters: 7770/50000 || Lr: 0.017180 || Task Loss: 0.1682 || KD Loss: 0.0571|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:20:41 || Estimated Time: 1 day, 15:55:05
2023-07-19 20:41:12,012 semantic_segmentation INFO: Iters: 7780/50000 || Lr: 0.017176 || Task Loss: 0.1654 || KD Loss: 0.0535|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1219|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:21:15 || Estimated Time: 1 day, 15:54:30
2023-07-19 20:41:45,971 semantic_segmentation INFO: Iters: 7790/50000 || Lr: 0.017173 || Task Loss: 0.1660 || KD Loss: 0.0665|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1224|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:21:49 || Estimated Time: 1 day, 15:53:55
2023-07-19 20:42:19,783 semantic_segmentation INFO: Iters: 7800/50000 || Lr: 0.017169 || Task Loss: 0.1734 || KD Loss: 0.0553|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:22:23 || Estimated Time: 1 day, 15:53:20
2023-07-19 20:42:53,568 semantic_segmentation INFO: Iters: 7810/50000 || Lr: 0.017165 || Task Loss: 0.1740 || KD Loss: 0.0523|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1116|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:22:57 || Estimated Time: 1 day, 15:52:45
2023-07-19 20:43:27,492 semantic_segmentation INFO: Iters: 7820/50000 || Lr: 0.017162 || Task Loss: 0.1867 || KD Loss: 0.0556|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:23:31 || Estimated Time: 1 day, 15:52:10
2023-07-19 20:44:01,242 semantic_segmentation INFO: Iters: 7830/50000 || Lr: 0.017158 || Task Loss: 0.1741 || KD Loss: 0.0529|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1048|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:24:04 || Estimated Time: 1 day, 15:51:34
2023-07-19 20:44:35,059 semantic_segmentation INFO: Iters: 7840/50000 || Lr: 0.017154 || Task Loss: 0.1585 || KD Loss: 0.0466|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:24:38 || Estimated Time: 1 day, 15:50:59
2023-07-19 20:45:08,759 semantic_segmentation INFO: Iters: 7850/50000 || Lr: 0.017151 || Task Loss: 0.1517 || KD Loss: 0.0470|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1147|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:25:12 || Estimated Time: 1 day, 15:50:24
2023-07-19 20:45:42,526 semantic_segmentation INFO: Iters: 7860/50000 || Lr: 0.017147 || Task Loss: 0.1720 || KD Loss: 0.0488|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:25:46 || Estimated Time: 1 day, 15:49:48
2023-07-19 20:46:16,320 semantic_segmentation INFO: Iters: 7870/50000 || Lr: 0.017143 || Task Loss: 0.1705 || KD Loss: 0.0595|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1282|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:26:19 || Estimated Time: 1 day, 15:49:13
2023-07-19 20:46:50,259 semantic_segmentation INFO: Iters: 7880/50000 || Lr: 0.017140 || Task Loss: 0.1535 || KD Loss: 0.0554|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1258|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:26:53 || Estimated Time: 1 day, 15:48:38
2023-07-19 20:47:24,095 semantic_segmentation INFO: Iters: 7890/50000 || Lr: 0.017136 || Task Loss: 0.1573 || KD Loss: 0.0470|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:27:27 || Estimated Time: 1 day, 15:48:04
2023-07-19 20:47:57,996 semantic_segmentation INFO: Iters: 7900/50000 || Lr: 0.017132 || Task Loss: 0.2029 || KD Loss: 0.0612|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:28:01 || Estimated Time: 1 day, 15:47:29
2023-07-19 20:48:31,714 semantic_segmentation INFO: Iters: 7910/50000 || Lr: 0.017129 || Task Loss: 0.1768 || KD Loss: 0.0507|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:28:35 || Estimated Time: 1 day, 15:46:53
2023-07-19 20:49:05,607 semantic_segmentation INFO: Iters: 7920/50000 || Lr: 0.017125 || Task Loss: 0.1693 || KD Loss: 0.0554|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1189|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:29:09 || Estimated Time: 1 day, 15:46:18
2023-07-19 20:49:39,411 semantic_segmentation INFO: Iters: 7930/50000 || Lr: 0.017121 || Task Loss: 0.1613 || KD Loss: 0.0500|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:29:43 || Estimated Time: 1 day, 15:45:43
2023-07-19 20:50:13,191 semantic_segmentation INFO: Iters: 7940/50000 || Lr: 0.017118 || Task Loss: 0.1604 || KD Loss: 0.0548|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1272|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:30:16 || Estimated Time: 1 day, 15:45:07
2023-07-19 20:50:47,004 semantic_segmentation INFO: Iters: 7950/50000 || Lr: 0.017114 || Task Loss: 0.1502 || KD Loss: 0.0531|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1204|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:30:50 || Estimated Time: 1 day, 15:44:32
2023-07-19 20:51:20,764 semantic_segmentation INFO: Iters: 7960/50000 || Lr: 0.017111 || Task Loss: 0.1531 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:31:24 || Estimated Time: 1 day, 15:43:57
2023-07-19 20:51:54,563 semantic_segmentation INFO: Iters: 7970/50000 || Lr: 0.017107 || Task Loss: 0.1467 || KD Loss: 0.0494|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:31:58 || Estimated Time: 1 day, 15:43:22
2023-07-19 20:52:28,428 semantic_segmentation INFO: Iters: 7980/50000 || Lr: 0.017103 || Task Loss: 0.1541 || KD Loss: 0.0568|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1219|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:32:32 || Estimated Time: 1 day, 15:42:47
2023-07-19 20:53:02,389 semantic_segmentation INFO: Iters: 7990/50000 || Lr: 0.017100 || Task Loss: 0.1558 || KD Loss: 0.0558|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1256|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:33:05 || Estimated Time: 1 day, 15:42:12
2023-07-19 20:53:36,270 semantic_segmentation INFO: Iters: 8000/50000 || Lr: 0.017096 || Task Loss: 0.1512 || KD Loss: 0.0529|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1191|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:33:39 || Estimated Time: 1 day, 15:41:38
2023-07-19 20:53:36,335 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 20:53:36,698 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.957, mIoU: 0.659
2023-07-19 20:53:36,715 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.958, mIoU: 0.673
2023-07-19 20:53:36,727 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.958, mIoU: 0.676
2023-07-19 20:53:36,739 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.956, mIoU: 0.669
2023-07-19 20:53:36,752 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.955, mIoU: 0.663
2023-07-19 20:53:36,765 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.955, mIoU: 0.663
2023-07-19 20:53:36,777 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.955, mIoU: 0.664
2023-07-19 20:53:36,790 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.955, mIoU: 0.663
2023-07-19 20:53:36,802 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.954, mIoU: 0.663
2023-07-19 20:53:36,815 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.954, mIoU: 0.664
2023-07-19 20:53:36,829 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.954, mIoU: 0.666
2023-07-19 20:53:36,842 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.953, mIoU: 0.665
2023-07-19 20:53:36,855 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.953, mIoU: 0.666
2023-07-19 20:53:36,868 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.953, mIoU: 0.667
2023-07-19 20:53:36,881 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.953, mIoU: 0.668
2023-07-19 20:53:36,894 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.953, mIoU: 0.668
2023-07-19 20:53:36,907 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.952, mIoU: 0.667
2023-07-19 20:53:36,920 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.952, mIoU: 0.666
2023-07-19 20:53:36,933 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.951, mIoU: 0.664
2023-07-19 20:53:36,946 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.950, mIoU: 0.663
2023-07-19 20:53:36,959 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.950, mIoU: 0.663
2023-07-19 20:53:36,972 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.950, mIoU: 0.661
2023-07-19 20:53:36,985 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.949, mIoU: 0.660
2023-07-19 20:53:36,999 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.949, mIoU: 0.658
2023-07-19 20:53:37,013 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.949, mIoU: 0.658
2023-07-19 20:53:37,027 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.949, mIoU: 0.659
2023-07-19 20:53:37,041 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.949, mIoU: 0.659
2023-07-19 20:53:37,055 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.949, mIoU: 0.659
2023-07-19 20:53:37,069 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.949, mIoU: 0.660
2023-07-19 20:53:37,083 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.949, mIoU: 0.661
2023-07-19 20:53:37,097 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.949, mIoU: 0.662
2023-07-19 20:53:37,111 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.949, mIoU: 0.662
2023-07-19 20:53:37,125 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.950, mIoU: 0.663
2023-07-19 20:53:37,139 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.950, mIoU: 0.664
2023-07-19 20:53:37,153 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.950, mIoU: 0.665
2023-07-19 20:53:37,167 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.949, mIoU: 0.664
2023-07-19 20:53:37,181 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.948, mIoU: 0.664
2023-07-19 20:53:37,195 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.948, mIoU: 0.665
2023-07-19 20:53:37,209 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.948, mIoU: 0.666
2023-07-19 20:53:37,222 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.948, mIoU: 0.667
2023-07-19 20:53:37,236 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.948, mIoU: 0.668
2023-07-19 20:53:37,249 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.948, mIoU: 0.670
2023-07-19 20:53:37,263 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.948, mIoU: 0.671
2023-07-19 20:53:37,276 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.948, mIoU: 0.673
2023-07-19 20:53:37,290 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.948, mIoU: 0.673
2023-07-19 20:53:37,303 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.948, mIoU: 0.675
2023-07-19 20:53:37,316 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.948, mIoU: 0.676
2023-07-19 20:53:37,330 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.948, mIoU: 0.678
2023-07-19 20:53:37,343 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.947, mIoU: 0.679
2023-07-19 20:53:37,356 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.947, mIoU: 0.679
2023-07-19 20:53:37,369 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.946, mIoU: 0.680
2023-07-19 20:53:37,382 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.946, mIoU: 0.680
2023-07-19 20:53:37,396 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.946, mIoU: 0.681
2023-07-19 20:53:37,409 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.945, mIoU: 0.682
2023-07-19 20:53:37,423 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.945, mIoU: 0.683
2023-07-19 20:53:37,437 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.945, mIoU: 0.684
2023-07-19 20:53:37,451 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.944, mIoU: 0.684
2023-07-19 20:53:37,466 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.944, mIoU: 0.685
2023-07-19 20:53:37,480 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.944, mIoU: 0.686
2023-07-19 20:53:37,494 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.944, mIoU: 0.687
2023-07-19 20:53:37,508 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.943, mIoU: 0.689
2023-07-19 20:53:37,522 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.943, mIoU: 0.690
2023-07-19 20:53:37,536 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.943, mIoU: 0.691
2023-07-19 20:53:37,551 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.942, mIoU: 0.692
2023-07-19 20:53:37,565 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.942, mIoU: 0.693
2023-07-19 20:53:37,579 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.941, mIoU: 0.694
2023-07-19 20:53:37,593 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.941, mIoU: 0.695
2023-07-19 20:53:37,607 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.940, mIoU: 0.696
2023-07-19 20:53:37,621 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.940, mIoU: 0.697
2023-07-19 20:53:37,635 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.939, mIoU: 0.699
2023-07-19 20:53:37,648 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.939, mIoU: 0.700
2023-07-19 20:53:37,662 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-19 20:53:37,675 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-19 20:53:37,688 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-19 20:53:37,702 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-19 20:53:37,715 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-19 20:53:37,729 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-19 20:53:37,742 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-19 20:53:37,755 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-19 20:53:37,769 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-19 20:53:37,782 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-19 20:53:37,795 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-19 20:53:37,808 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-19 20:53:37,821 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-19 20:53:37,834 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.933, mIoU: 0.691
2023-07-19 20:53:37,848 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.933, mIoU: 0.690
2023-07-19 20:53:37,862 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-19 20:53:37,875 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-19 20:53:37,889 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.932, mIoU: 0.687
2023-07-19 20:53:37,903 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-19 20:53:37,916 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-19 20:53:37,929 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.932, mIoU: 0.685
2023-07-19 20:53:37,943 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.932, mIoU: 0.685
2023-07-19 20:53:37,956 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.932, mIoU: 0.685
2023-07-19 20:53:37,970 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.933, mIoU: 0.685
2023-07-19 20:53:37,983 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.933, mIoU: 0.685
2023-07-19 20:53:37,996 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.933, mIoU: 0.686
2023-07-19 20:53:38,010 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.933, mIoU: 0.686
2023-07-19 20:53:38,024 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.933, mIoU: 0.685
2023-07-19 20:53:38,037 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.934, mIoU: 0.685
2023-07-19 20:53:38,050 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.934, mIoU: 0.685
2023-07-19 20:54:12,211 semantic_segmentation INFO: Iters: 8010/50000 || Lr: 0.017092 || Task Loss: 0.1367 || KD Loss: 0.0526|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1203|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:34:15 || Estimated Time: 1 day, 15:41:14
2023-07-19 20:54:46,000 semantic_segmentation INFO: Iters: 8020/50000 || Lr: 0.017089 || Task Loss: 0.1501 || KD Loss: 0.0544|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1237|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:34:49 || Estimated Time: 1 day, 15:40:39
2023-07-19 20:55:19,849 semantic_segmentation INFO: Iters: 8030/50000 || Lr: 0.017085 || Task Loss: 0.1465 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1142|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:35:23 || Estimated Time: 1 day, 15:40:04
2023-07-19 20:55:53,779 semantic_segmentation INFO: Iters: 8040/50000 || Lr: 0.017081 || Task Loss: 0.1590 || KD Loss: 0.0560|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1226|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:35:57 || Estimated Time: 1 day, 15:39:29
2023-07-19 20:56:27,637 semantic_segmentation INFO: Iters: 8050/50000 || Lr: 0.017078 || Task Loss: 0.1649 || KD Loss: 0.0524|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:36:31 || Estimated Time: 1 day, 15:38:55
2023-07-19 20:57:01,426 semantic_segmentation INFO: Iters: 8060/50000 || Lr: 0.017074 || Task Loss: 0.1798 || KD Loss: 0.0578|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1188|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:37:05 || Estimated Time: 1 day, 15:38:19
2023-07-19 20:57:35,214 semantic_segmentation INFO: Iters: 8070/50000 || Lr: 0.017070 || Task Loss: 0.1889 || KD Loss: 0.0636|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1242|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:37:38 || Estimated Time: 1 day, 15:37:44
2023-07-19 20:58:09,149 semantic_segmentation INFO: Iters: 8080/50000 || Lr: 0.017067 || Task Loss: 0.1510 || KD Loss: 0.0555|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1175|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:38:12 || Estimated Time: 1 day, 15:37:09
2023-07-19 20:58:42,970 semantic_segmentation INFO: Iters: 8090/50000 || Lr: 0.017063 || Task Loss: 0.1878 || KD Loss: 0.0654|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1107|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:38:46 || Estimated Time: 1 day, 15:36:34
2023-07-19 20:59:16,781 semantic_segmentation INFO: Iters: 8100/50000 || Lr: 0.017059 || Task Loss: 0.1449 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1136|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:39:20 || Estimated Time: 1 day, 15:35:59
2023-07-19 20:59:50,578 semantic_segmentation INFO: Iters: 8110/50000 || Lr: 0.017056 || Task Loss: 0.1635 || KD Loss: 0.0508|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:39:54 || Estimated Time: 1 day, 15:35:24
2023-07-19 21:00:24,377 semantic_segmentation INFO: Iters: 8120/50000 || Lr: 0.017052 || Task Loss: 0.1931 || KD Loss: 0.0642|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1183|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:40:27 || Estimated Time: 1 day, 15:34:49
2023-07-19 21:00:58,162 semantic_segmentation INFO: Iters: 8130/50000 || Lr: 0.017048 || Task Loss: 0.1843 || KD Loss: 0.0595|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1161|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:41:01 || Estimated Time: 1 day, 15:34:14
2023-07-19 21:01:31,984 semantic_segmentation INFO: Iters: 8140/50000 || Lr: 0.017045 || Task Loss: 0.1819 || KD Loss: 0.0569|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:41:35 || Estimated Time: 1 day, 15:33:39
2023-07-19 21:02:05,773 semantic_segmentation INFO: Iters: 8150/50000 || Lr: 0.017041 || Task Loss: 0.1652 || KD Loss: 0.0538|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1098|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:42:09 || Estimated Time: 1 day, 15:33:03
2023-07-19 21:02:39,570 semantic_segmentation INFO: Iters: 8160/50000 || Lr: 0.017037 || Task Loss: 0.1467 || KD Loss: 0.0636|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1388|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:42:43 || Estimated Time: 1 day, 15:32:28
2023-07-19 21:03:13,314 semantic_segmentation INFO: Iters: 8170/50000 || Lr: 0.017034 || Task Loss: 0.1443 || KD Loss: 0.0481|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1245|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:43:16 || Estimated Time: 1 day, 15:31:52
2023-07-19 21:03:47,120 semantic_segmentation INFO: Iters: 8180/50000 || Lr: 0.017030 || Task Loss: 0.1616 || KD Loss: 0.0542|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1238|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:43:50 || Estimated Time: 1 day, 15:31:17
2023-07-19 21:04:20,880 semantic_segmentation INFO: Iters: 8190/50000 || Lr: 0.017026 || Task Loss: 0.1458 || KD Loss: 0.0513|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1327|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:44:24 || Estimated Time: 1 day, 15:30:42
2023-07-19 21:04:54,564 semantic_segmentation INFO: Iters: 8200/50000 || Lr: 0.017023 || Task Loss: 0.2042 || KD Loss: 0.0600|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:44:58 || Estimated Time: 1 day, 15:30:06
2023-07-19 21:05:28,285 semantic_segmentation INFO: Iters: 8210/50000 || Lr: 0.017019 || Task Loss: 0.1692 || KD Loss: 0.0555|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:45:31 || Estimated Time: 1 day, 15:29:31
2023-07-19 21:06:01,935 semantic_segmentation INFO: Iters: 8220/50000 || Lr: 0.017015 || Task Loss: 0.1651 || KD Loss: 0.0500|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:46:05 || Estimated Time: 1 day, 15:28:55
2023-07-19 21:06:35,717 semantic_segmentation INFO: Iters: 8230/50000 || Lr: 0.017012 || Task Loss: 0.1699 || KD Loss: 0.0528|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:46:39 || Estimated Time: 1 day, 15:28:20
2023-07-19 21:07:09,538 semantic_segmentation INFO: Iters: 8240/50000 || Lr: 0.017008 || Task Loss: 0.1531 || KD Loss: 0.0519|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1152|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:47:13 || Estimated Time: 1 day, 15:27:45
2023-07-19 21:07:43,406 semantic_segmentation INFO: Iters: 8250/50000 || Lr: 0.017004 || Task Loss: 0.1432 || KD Loss: 0.0552|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1214|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:47:47 || Estimated Time: 1 day, 15:27:10
2023-07-19 21:08:17,351 semantic_segmentation INFO: Iters: 8260/50000 || Lr: 0.017001 || Task Loss: 0.1569 || KD Loss: 0.0484|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:48:20 || Estimated Time: 1 day, 15:26:36
2023-07-19 21:08:51,330 semantic_segmentation INFO: Iters: 8270/50000 || Lr: 0.016997 || Task Loss: 0.1565 || KD Loss: 0.0539|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1207|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:48:54 || Estimated Time: 1 day, 15:26:01
2023-07-19 21:09:25,375 semantic_segmentation INFO: Iters: 8280/50000 || Lr: 0.016993 || Task Loss: 0.1505 || KD Loss: 0.0458|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1231|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:49:28 || Estimated Time: 1 day, 15:25:27
2023-07-19 21:09:59,318 semantic_segmentation INFO: Iters: 8290/50000 || Lr: 0.016990 || Task Loss: 0.1646 || KD Loss: 0.0520|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:50:02 || Estimated Time: 1 day, 15:24:53
2023-07-19 21:10:33,232 semantic_segmentation INFO: Iters: 8300/50000 || Lr: 0.016986 || Task Loss: 0.1911 || KD Loss: 0.0637|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:50:36 || Estimated Time: 1 day, 15:24:18
2023-07-19 21:11:07,080 semantic_segmentation INFO: Iters: 8310/50000 || Lr: 0.016982 || Task Loss: 0.1442 || KD Loss: 0.0438|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1126|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:51:10 || Estimated Time: 1 day, 15:23:44
2023-07-19 21:11:41,010 semantic_segmentation INFO: Iters: 8320/50000 || Lr: 0.016979 || Task Loss: 0.1789 || KD Loss: 0.0582|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1195|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:51:44 || Estimated Time: 1 day, 15:23:09
2023-07-19 21:12:15,013 semantic_segmentation INFO: Iters: 8330/50000 || Lr: 0.016975 || Task Loss: 0.1638 || KD Loss: 0.0473|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:52:18 || Estimated Time: 1 day, 15:22:35
2023-07-19 21:12:48,812 semantic_segmentation INFO: Iters: 8340/50000 || Lr: 0.016971 || Task Loss: 0.1534 || KD Loss: 0.0474|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:52:52 || Estimated Time: 1 day, 15:22:00
2023-07-19 21:13:22,723 semantic_segmentation INFO: Iters: 8350/50000 || Lr: 0.016968 || Task Loss: 0.1425 || KD Loss: 0.0472|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1179|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:53:26 || Estimated Time: 1 day, 15:21:25
2023-07-19 21:13:56,470 semantic_segmentation INFO: Iters: 8360/50000 || Lr: 0.016964 || Task Loss: 0.1446 || KD Loss: 0.0468|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:54:00 || Estimated Time: 1 day, 15:20:50
2023-07-19 21:14:30,411 semantic_segmentation INFO: Iters: 8370/50000 || Lr: 0.016960 || Task Loss: 0.1650 || KD Loss: 0.0520|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1132|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:54:34 || Estimated Time: 1 day, 15:20:15
2023-07-19 21:15:04,182 semantic_segmentation INFO: Iters: 8380/50000 || Lr: 0.016957 || Task Loss: 0.1789 || KD Loss: 0.0577|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1136|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:55:07 || Estimated Time: 1 day, 15:19:40
2023-07-19 21:15:37,962 semantic_segmentation INFO: Iters: 8390/50000 || Lr: 0.016953 || Task Loss: 0.1498 || KD Loss: 0.0488|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:55:41 || Estimated Time: 1 day, 15:19:05
2023-07-19 21:16:11,818 semantic_segmentation INFO: Iters: 8400/50000 || Lr: 0.016949 || Task Loss: 0.1723 || KD Loss: 0.0475|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:56:15 || Estimated Time: 1 day, 15:18:30
2023-07-19 21:16:45,596 semantic_segmentation INFO: Iters: 8410/50000 || Lr: 0.016946 || Task Loss: 0.1473 || KD Loss: 0.0498|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1149|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:56:49 || Estimated Time: 1 day, 15:17:55
2023-07-19 21:17:19,389 semantic_segmentation INFO: Iters: 8420/50000 || Lr: 0.016942 || Task Loss: 0.1540 || KD Loss: 0.0497|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1213|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:57:22 || Estimated Time: 1 day, 15:17:20
2023-07-19 21:17:53,184 semantic_segmentation INFO: Iters: 8430/50000 || Lr: 0.016938 || Task Loss: 0.1668 || KD Loss: 0.0500|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:57:56 || Estimated Time: 1 day, 15:16:45
2023-07-19 21:18:27,133 semantic_segmentation INFO: Iters: 8440/50000 || Lr: 0.016935 || Task Loss: 0.1561 || KD Loss: 0.0466|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:58:30 || Estimated Time: 1 day, 15:16:10
2023-07-19 21:19:00,852 semantic_segmentation INFO: Iters: 8450/50000 || Lr: 0.016931 || Task Loss: 0.1748 || KD Loss: 0.0551|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:59:04 || Estimated Time: 1 day, 15:15:35
2023-07-19 21:19:34,670 semantic_segmentation INFO: Iters: 8460/50000 || Lr: 0.016927 || Task Loss: 0.1752 || KD Loss: 0.0476|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 7:59:38 || Estimated Time: 1 day, 15:15:00
2023-07-19 21:20:08,455 semantic_segmentation INFO: Iters: 8470/50000 || Lr: 0.016924 || Task Loss: 0.1483 || KD Loss: 0.0493|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:00:12 || Estimated Time: 1 day, 15:14:25
2023-07-19 21:20:42,173 semantic_segmentation INFO: Iters: 8480/50000 || Lr: 0.016920 || Task Loss: 0.1583 || KD Loss: 0.0488|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:00:45 || Estimated Time: 1 day, 15:13:50
2023-07-19 21:21:15,923 semantic_segmentation INFO: Iters: 8490/50000 || Lr: 0.016916 || Task Loss: 0.1408 || KD Loss: 0.0519|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1322|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:01:19 || Estimated Time: 1 day, 15:13:14
2023-07-19 21:21:49,715 semantic_segmentation INFO: Iters: 8500/50000 || Lr: 0.016913 || Task Loss: 0.1591 || KD Loss: 0.0478|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1146|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:01:53 || Estimated Time: 1 day, 15:12:39
2023-07-19 21:22:23,563 semantic_segmentation INFO: Iters: 8510/50000 || Lr: 0.016909 || Task Loss: 0.1517 || KD Loss: 0.0480|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1145|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:02:27 || Estimated Time: 1 day, 15:12:04
2023-07-19 21:22:57,324 semantic_segmentation INFO: Iters: 8520/50000 || Lr: 0.016905 || Task Loss: 0.1541 || KD Loss: 0.0529|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1184|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:03:00 || Estimated Time: 1 day, 15:11:29
2023-07-19 21:23:31,065 semantic_segmentation INFO: Iters: 8530/50000 || Lr: 0.016902 || Task Loss: 0.1530 || KD Loss: 0.0550|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1213|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:03:34 || Estimated Time: 1 day, 15:10:53
2023-07-19 21:24:04,699 semantic_segmentation INFO: Iters: 8540/50000 || Lr: 0.016898 || Task Loss: 0.1627 || KD Loss: 0.0567|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1209|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:04:08 || Estimated Time: 1 day, 15:10:18
2023-07-19 21:24:38,419 semantic_segmentation INFO: Iters: 8550/50000 || Lr: 0.016894 || Task Loss: 0.1992 || KD Loss: 0.0607|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:04:42 || Estimated Time: 1 day, 15:09:42
2023-07-19 21:25:12,093 semantic_segmentation INFO: Iters: 8560/50000 || Lr: 0.016891 || Task Loss: 0.1654 || KD Loss: 0.0518|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:05:15 || Estimated Time: 1 day, 15:09:07
2023-07-19 21:25:45,803 semantic_segmentation INFO: Iters: 8570/50000 || Lr: 0.016887 || Task Loss: 0.1493 || KD Loss: 0.0528|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:05:49 || Estimated Time: 1 day, 15:08:31
2023-07-19 21:26:19,508 semantic_segmentation INFO: Iters: 8580/50000 || Lr: 0.016883 || Task Loss: 0.1604 || KD Loss: 0.0577|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1236|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:06:23 || Estimated Time: 1 day, 15:07:56
2023-07-19 21:26:53,275 semantic_segmentation INFO: Iters: 8590/50000 || Lr: 0.016880 || Task Loss: 0.1804 || KD Loss: 0.0566|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1172|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:06:56 || Estimated Time: 1 day, 15:07:20
2023-07-19 21:27:27,037 semantic_segmentation INFO: Iters: 8600/50000 || Lr: 0.016876 || Task Loss: 0.1654 || KD Loss: 0.0518|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:07:30 || Estimated Time: 1 day, 15:06:45
2023-07-19 21:28:00,841 semantic_segmentation INFO: Iters: 8610/50000 || Lr: 0.016872 || Task Loss: 0.1554 || KD Loss: 0.0630|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1381|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:08:04 || Estimated Time: 1 day, 15:06:10
2023-07-19 21:28:34,569 semantic_segmentation INFO: Iters: 8620/50000 || Lr: 0.016869 || Task Loss: 0.1613 || KD Loss: 0.0537|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:08:38 || Estimated Time: 1 day, 15:05:35
2023-07-19 21:29:08,246 semantic_segmentation INFO: Iters: 8630/50000 || Lr: 0.016865 || Task Loss: 0.1596 || KD Loss: 0.0589|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1286|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:09:11 || Estimated Time: 1 day, 15:04:59
2023-07-19 21:29:42,082 semantic_segmentation INFO: Iters: 8640/50000 || Lr: 0.016861 || Task Loss: 0.1693 || KD Loss: 0.0508|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:09:45 || Estimated Time: 1 day, 15:04:24
2023-07-19 21:30:15,944 semantic_segmentation INFO: Iters: 8650/50000 || Lr: 0.016858 || Task Loss: 0.1739 || KD Loss: 0.0466|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:10:19 || Estimated Time: 1 day, 15:03:50
2023-07-19 21:30:49,748 semantic_segmentation INFO: Iters: 8660/50000 || Lr: 0.016854 || Task Loss: 0.1647 || KD Loss: 0.0598|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1221|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:10:53 || Estimated Time: 1 day, 15:03:15
2023-07-19 21:31:23,496 semantic_segmentation INFO: Iters: 8670/50000 || Lr: 0.016850 || Task Loss: 0.1453 || KD Loss: 0.0525|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:11:27 || Estimated Time: 1 day, 15:02:39
2023-07-19 21:31:57,331 semantic_segmentation INFO: Iters: 8680/50000 || Lr: 0.016847 || Task Loss: 0.1973 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0857|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:12:00 || Estimated Time: 1 day, 15:02:05
2023-07-19 21:32:31,114 semantic_segmentation INFO: Iters: 8690/50000 || Lr: 0.016843 || Task Loss: 0.1502 || KD Loss: 0.0562|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1100|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:12:34 || Estimated Time: 1 day, 15:01:29
2023-07-19 21:33:04,884 semantic_segmentation INFO: Iters: 8700/50000 || Lr: 0.016839 || Task Loss: 0.1685 || KD Loss: 0.0601|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1360|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:13:08 || Estimated Time: 1 day, 15:00:54
2023-07-19 21:33:38,677 semantic_segmentation INFO: Iters: 8710/50000 || Lr: 0.016836 || Task Loss: 0.2105 || KD Loss: 0.0513|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:13:42 || Estimated Time: 1 day, 15:00:19
2023-07-19 21:34:12,469 semantic_segmentation INFO: Iters: 8720/50000 || Lr: 0.016832 || Task Loss: 0.1710 || KD Loss: 0.0541|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:14:16 || Estimated Time: 1 day, 14:59:44
2023-07-19 21:34:46,272 semantic_segmentation INFO: Iters: 8730/50000 || Lr: 0.016828 || Task Loss: 0.1421 || KD Loss: 0.0506|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1194|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:14:49 || Estimated Time: 1 day, 14:59:09
2023-07-19 21:35:20,066 semantic_segmentation INFO: Iters: 8740/50000 || Lr: 0.016825 || Task Loss: 0.1345 || KD Loss: 0.0444|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1179|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:15:23 || Estimated Time: 1 day, 14:58:34
2023-07-19 21:35:53,725 semantic_segmentation INFO: Iters: 8750/50000 || Lr: 0.016821 || Task Loss: 0.1653 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1168|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:15:57 || Estimated Time: 1 day, 14:57:59
2023-07-19 21:36:27,563 semantic_segmentation INFO: Iters: 8760/50000 || Lr: 0.016817 || Task Loss: 0.1401 || KD Loss: 0.0475|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:16:31 || Estimated Time: 1 day, 14:57:24
2023-07-19 21:37:01,464 semantic_segmentation INFO: Iters: 8770/50000 || Lr: 0.016814 || Task Loss: 0.1703 || KD Loss: 0.0573|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1150|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:17:05 || Estimated Time: 1 day, 14:56:49
2023-07-19 21:37:35,302 semantic_segmentation INFO: Iters: 8780/50000 || Lr: 0.016810 || Task Loss: 0.1724 || KD Loss: 0.0533|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1119|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:17:38 || Estimated Time: 1 day, 14:56:15
2023-07-19 21:38:09,208 semantic_segmentation INFO: Iters: 8790/50000 || Lr: 0.016806 || Task Loss: 0.1753 || KD Loss: 0.0539|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:18:12 || Estimated Time: 1 day, 14:55:40
2023-07-19 21:38:43,067 semantic_segmentation INFO: Iters: 8800/50000 || Lr: 0.016803 || Task Loss: 0.1414 || KD Loss: 0.0610|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1300|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:18:46 || Estimated Time: 1 day, 14:55:05
2023-07-19 21:38:43,143 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 21:38:43,527 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-19 21:38:43,559 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-19 21:38:43,572 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-19 21:38:43,585 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-19 21:38:43,597 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.954, mIoU: 0.679
2023-07-19 21:38:43,610 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-19 21:38:43,622 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-19 21:38:43,635 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-19 21:38:43,647 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.953, mIoU: 0.679
2023-07-19 21:38:43,659 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.953, mIoU: 0.679
2023-07-19 21:38:43,672 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.953, mIoU: 0.680
2023-07-19 21:38:43,684 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-19 21:38:43,698 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-19 21:38:43,710 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-19 21:38:43,723 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-19 21:38:43,736 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-19 21:38:43,748 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-19 21:38:43,761 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.951, mIoU: 0.680
2023-07-19 21:38:43,773 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.950, mIoU: 0.677
2023-07-19 21:38:43,786 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-19 21:38:43,799 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-19 21:38:43,811 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.949, mIoU: 0.672
2023-07-19 21:38:43,824 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.948, mIoU: 0.670
2023-07-19 21:38:43,836 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.948, mIoU: 0.668
2023-07-19 21:38:43,849 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.948, mIoU: 0.667
2023-07-19 21:38:43,862 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.948, mIoU: 0.668
2023-07-19 21:38:43,875 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.948, mIoU: 0.668
2023-07-19 21:38:43,887 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.948, mIoU: 0.668
2023-07-19 21:38:43,900 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.948, mIoU: 0.669
2023-07-19 21:38:43,913 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.948, mIoU: 0.670
2023-07-19 21:38:43,926 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.949, mIoU: 0.671
2023-07-19 21:38:43,938 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.949, mIoU: 0.672
2023-07-19 21:38:43,951 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.949, mIoU: 0.673
2023-07-19 21:38:43,964 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.949, mIoU: 0.674
2023-07-19 21:38:43,977 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.949, mIoU: 0.674
2023-07-19 21:38:43,990 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.948, mIoU: 0.674
2023-07-19 21:38:44,002 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.947, mIoU: 0.674
2023-07-19 21:38:44,015 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.947, mIoU: 0.675
2023-07-19 21:38:44,028 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.947, mIoU: 0.676
2023-07-19 21:38:44,040 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.947, mIoU: 0.677
2023-07-19 21:38:44,053 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.947, mIoU: 0.678
2023-07-19 21:38:44,066 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.947, mIoU: 0.680
2023-07-19 21:38:44,079 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.948, mIoU: 0.681
2023-07-19 21:38:44,092 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.948, mIoU: 0.683
2023-07-19 21:38:44,105 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.947, mIoU: 0.684
2023-07-19 21:38:44,118 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.947, mIoU: 0.686
2023-07-19 21:38:44,130 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.947, mIoU: 0.687
2023-07-19 21:38:44,143 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.947, mIoU: 0.689
2023-07-19 21:38:44,156 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.947, mIoU: 0.689
2023-07-19 21:38:44,169 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.946, mIoU: 0.689
2023-07-19 21:38:44,182 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.946, mIoU: 0.689
2023-07-19 21:38:44,194 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.945, mIoU: 0.690
2023-07-19 21:38:44,207 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.945, mIoU: 0.690
2023-07-19 21:38:44,220 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.945, mIoU: 0.690
2023-07-19 21:38:44,233 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.944, mIoU: 0.691
2023-07-19 21:38:44,246 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.944, mIoU: 0.691
2023-07-19 21:38:44,258 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.943, mIoU: 0.691
2023-07-19 21:38:44,271 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.943, mIoU: 0.691
2023-07-19 21:38:44,284 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.943, mIoU: 0.692
2023-07-19 21:38:44,297 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.942, mIoU: 0.693
2023-07-19 21:38:44,310 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.942, mIoU: 0.693
2023-07-19 21:38:44,324 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.942, mIoU: 0.694
2023-07-19 21:38:44,337 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.941, mIoU: 0.695
2023-07-19 21:38:44,351 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.941, mIoU: 0.696
2023-07-19 21:38:44,364 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.940, mIoU: 0.696
2023-07-19 21:38:44,378 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.940, mIoU: 0.696
2023-07-19 21:38:44,391 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.939, mIoU: 0.697
2023-07-19 21:38:44,404 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.939, mIoU: 0.698
2023-07-19 21:38:44,418 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.938, mIoU: 0.698
2023-07-19 21:38:44,431 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.938, mIoU: 0.699
2023-07-19 21:38:44,445 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-19 21:38:44,458 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-19 21:38:44,471 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-19 21:38:44,484 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-19 21:38:44,499 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-19 21:38:44,513 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-19 21:38:44,527 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-19 21:38:44,541 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-19 21:38:44,555 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.933, mIoU: 0.694
2023-07-19 21:38:44,569 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-19 21:38:44,584 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.932, mIoU: 0.692
2023-07-19 21:38:44,598 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.932, mIoU: 0.691
2023-07-19 21:38:44,612 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.931, mIoU: 0.689
2023-07-19 21:38:44,626 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.931, mIoU: 0.687
2023-07-19 21:38:44,640 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.930, mIoU: 0.686
2023-07-19 21:38:44,654 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.930, mIoU: 0.684
2023-07-19 21:38:44,668 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.930, mIoU: 0.682
2023-07-19 21:38:44,682 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.929, mIoU: 0.680
2023-07-19 21:38:44,696 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.929, mIoU: 0.678
2023-07-19 21:38:44,710 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.929, mIoU: 0.677
2023-07-19 21:38:44,723 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.929, mIoU: 0.676
2023-07-19 21:38:44,736 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.929, mIoU: 0.675
2023-07-19 21:38:44,750 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.929, mIoU: 0.675
2023-07-19 21:38:44,764 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.929, mIoU: 0.675
2023-07-19 21:38:44,777 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.929, mIoU: 0.675
2023-07-19 21:38:44,791 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.930, mIoU: 0.675
2023-07-19 21:38:44,804 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.930, mIoU: 0.675
2023-07-19 21:38:44,817 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.930, mIoU: 0.674
2023-07-19 21:38:44,830 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.930, mIoU: 0.674
2023-07-19 21:38:44,844 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.930, mIoU: 0.673
2023-07-19 21:38:44,857 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.930, mIoU: 0.673
2023-07-19 21:39:18,948 semantic_segmentation INFO: Iters: 8810/50000 || Lr: 0.016799 || Task Loss: 0.1645 || KD Loss: 0.0489|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:19:22 || Estimated Time: 1 day, 14:54:40
2023-07-19 21:39:52,731 semantic_segmentation INFO: Iters: 8820/50000 || Lr: 0.016795 || Task Loss: 0.1772 || KD Loss: 0.0580|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:19:56 || Estimated Time: 1 day, 14:54:05
2023-07-19 21:40:26,672 semantic_segmentation INFO: Iters: 8830/50000 || Lr: 0.016791 || Task Loss: 0.1870 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:20:30 || Estimated Time: 1 day, 14:53:31
2023-07-19 21:41:00,460 semantic_segmentation INFO: Iters: 8840/50000 || Lr: 0.016788 || Task Loss: 0.1361 || KD Loss: 0.0478|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1166|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:21:04 || Estimated Time: 1 day, 14:52:56
2023-07-19 21:41:34,335 semantic_segmentation INFO: Iters: 8850/50000 || Lr: 0.016784 || Task Loss: 0.1454 || KD Loss: 0.0529|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1170|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:21:37 || Estimated Time: 1 day, 14:52:21
2023-07-19 21:42:08,284 semantic_segmentation INFO: Iters: 8860/50000 || Lr: 0.016780 || Task Loss: 0.1757 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:22:11 || Estimated Time: 1 day, 14:51:47
2023-07-19 21:42:42,093 semantic_segmentation INFO: Iters: 8870/50000 || Lr: 0.016777 || Task Loss: 0.1468 || KD Loss: 0.0493|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1170|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:22:45 || Estimated Time: 1 day, 14:51:12
2023-07-19 21:43:16,019 semantic_segmentation INFO: Iters: 8880/50000 || Lr: 0.016773 || Task Loss: 0.1593 || KD Loss: 0.0485|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:23:19 || Estimated Time: 1 day, 14:50:37
2023-07-19 21:43:49,893 semantic_segmentation INFO: Iters: 8890/50000 || Lr: 0.016769 || Task Loss: 0.1429 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1170|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:23:53 || Estimated Time: 1 day, 14:50:03
2023-07-19 21:44:23,654 semantic_segmentation INFO: Iters: 8900/50000 || Lr: 0.016766 || Task Loss: 0.1562 || KD Loss: 0.0485|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:24:27 || Estimated Time: 1 day, 14:49:28
2023-07-19 21:44:57,579 semantic_segmentation INFO: Iters: 8910/50000 || Lr: 0.016762 || Task Loss: 0.1624 || KD Loss: 0.0487|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:25:01 || Estimated Time: 1 day, 14:48:53
2023-07-19 21:45:31,356 semantic_segmentation INFO: Iters: 8920/50000 || Lr: 0.016758 || Task Loss: 0.1506 || KD Loss: 0.0488|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1172|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:25:34 || Estimated Time: 1 day, 14:48:18
2023-07-19 21:46:05,265 semantic_segmentation INFO: Iters: 8930/50000 || Lr: 0.016755 || Task Loss: 0.1678 || KD Loss: 0.0495|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1074|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:26:08 || Estimated Time: 1 day, 14:47:44
2023-07-19 21:46:39,106 semantic_segmentation INFO: Iters: 8940/50000 || Lr: 0.016751 || Task Loss: 0.1728 || KD Loss: 0.0505|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1129|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:26:42 || Estimated Time: 1 day, 14:47:09
2023-07-19 21:47:12,978 semantic_segmentation INFO: Iters: 8950/50000 || Lr: 0.016747 || Task Loss: 0.1348 || KD Loss: 0.0467|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:27:16 || Estimated Time: 1 day, 14:46:34
2023-07-19 21:47:46,757 semantic_segmentation INFO: Iters: 8960/50000 || Lr: 0.016744 || Task Loss: 0.1616 || KD Loss: 0.0594|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1199|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:27:50 || Estimated Time: 1 day, 14:45:59
2023-07-19 21:48:20,573 semantic_segmentation INFO: Iters: 8970/50000 || Lr: 0.016740 || Task Loss: 0.1678 || KD Loss: 0.0546|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1177|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:28:24 || Estimated Time: 1 day, 14:45:24
2023-07-19 21:48:54,354 semantic_segmentation INFO: Iters: 8980/50000 || Lr: 0.016736 || Task Loss: 0.1531 || KD Loss: 0.0576|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1161|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:28:57 || Estimated Time: 1 day, 14:44:49
2023-07-19 21:49:28,158 semantic_segmentation INFO: Iters: 8990/50000 || Lr: 0.016733 || Task Loss: 0.1678 || KD Loss: 0.0549|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1166|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:29:31 || Estimated Time: 1 day, 14:44:14
2023-07-19 21:50:02,007 semantic_segmentation INFO: Iters: 9000/50000 || Lr: 0.016729 || Task Loss: 0.1666 || KD Loss: 0.0627|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1321|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:30:05 || Estimated Time: 1 day, 14:43:40
2023-07-19 21:50:35,846 semantic_segmentation INFO: Iters: 9010/50000 || Lr: 0.016725 || Task Loss: 0.1712 || KD Loss: 0.0517|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:30:39 || Estimated Time: 1 day, 14:43:05
2023-07-19 21:51:09,555 semantic_segmentation INFO: Iters: 9020/50000 || Lr: 0.016722 || Task Loss: 0.1776 || KD Loss: 0.0531|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:31:13 || Estimated Time: 1 day, 14:42:30
2023-07-19 21:51:43,357 semantic_segmentation INFO: Iters: 9030/50000 || Lr: 0.016718 || Task Loss: 0.1264 || KD Loss: 0.0510|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1318|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:31:46 || Estimated Time: 1 day, 14:41:55
2023-07-19 21:52:17,165 semantic_segmentation INFO: Iters: 9040/50000 || Lr: 0.016714 || Task Loss: 0.1377 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:32:20 || Estimated Time: 1 day, 14:41:20
2023-07-19 21:52:51,045 semantic_segmentation INFO: Iters: 9050/50000 || Lr: 0.016711 || Task Loss: 0.1473 || KD Loss: 0.0506|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1217|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:32:54 || Estimated Time: 1 day, 14:40:45
2023-07-19 21:53:24,978 semantic_segmentation INFO: Iters: 9060/50000 || Lr: 0.016707 || Task Loss: 0.1485 || KD Loss: 0.0438|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:33:28 || Estimated Time: 1 day, 14:40:11
2023-07-19 21:53:58,872 semantic_segmentation INFO: Iters: 9070/50000 || Lr: 0.016703 || Task Loss: 0.1501 || KD Loss: 0.0466|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1202|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:34:02 || Estimated Time: 1 day, 14:39:36
2023-07-19 21:54:32,704 semantic_segmentation INFO: Iters: 9080/50000 || Lr: 0.016700 || Task Loss: 0.1542 || KD Loss: 0.0487|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:34:36 || Estimated Time: 1 day, 14:39:02
2023-07-19 21:55:06,543 semantic_segmentation INFO: Iters: 9090/50000 || Lr: 0.016696 || Task Loss: 0.1707 || KD Loss: 0.0511|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:35:10 || Estimated Time: 1 day, 14:38:27
2023-07-19 21:55:40,357 semantic_segmentation INFO: Iters: 9100/50000 || Lr: 0.016692 || Task Loss: 0.1660 || KD Loss: 0.0494|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:35:43 || Estimated Time: 1 day, 14:37:52
2023-07-19 21:56:14,278 semantic_segmentation INFO: Iters: 9110/50000 || Lr: 0.016689 || Task Loss: 0.1535 || KD Loss: 0.0492|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:36:17 || Estimated Time: 1 day, 14:37:18
2023-07-19 21:56:48,072 semantic_segmentation INFO: Iters: 9120/50000 || Lr: 0.016685 || Task Loss: 0.1688 || KD Loss: 0.0508|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:36:51 || Estimated Time: 1 day, 14:36:43
2023-07-19 21:57:21,848 semantic_segmentation INFO: Iters: 9130/50000 || Lr: 0.016681 || Task Loss: 0.1634 || KD Loss: 0.0529|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1125|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:37:25 || Estimated Time: 1 day, 14:36:08
2023-07-19 21:57:55,726 semantic_segmentation INFO: Iters: 9140/50000 || Lr: 0.016678 || Task Loss: 0.1371 || KD Loss: 0.0526|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1334|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:37:59 || Estimated Time: 1 day, 14:35:33
2023-07-19 21:58:29,630 semantic_segmentation INFO: Iters: 9150/50000 || Lr: 0.016674 || Task Loss: 0.1532 || KD Loss: 0.0564|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1203|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:38:33 || Estimated Time: 1 day, 14:34:59
2023-07-19 21:59:03,427 semantic_segmentation INFO: Iters: 9160/50000 || Lr: 0.016670 || Task Loss: 0.1382 || KD Loss: 0.0463|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1205|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:39:07 || Estimated Time: 1 day, 14:34:24
2023-07-19 21:59:37,289 semantic_segmentation INFO: Iters: 9170/50000 || Lr: 0.016667 || Task Loss: 0.1813 || KD Loss: 0.0571|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1150|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:39:40 || Estimated Time: 1 day, 14:33:49
2023-07-19 22:00:11,078 semantic_segmentation INFO: Iters: 9180/50000 || Lr: 0.016663 || Task Loss: 0.1655 || KD Loss: 0.0483|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1119|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:40:14 || Estimated Time: 1 day, 14:33:15
2023-07-19 22:00:45,001 semantic_segmentation INFO: Iters: 9190/50000 || Lr: 0.016659 || Task Loss: 0.1566 || KD Loss: 0.0500|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:40:48 || Estimated Time: 1 day, 14:32:40
2023-07-19 22:01:18,866 semantic_segmentation INFO: Iters: 9200/50000 || Lr: 0.016656 || Task Loss: 0.1499 || KD Loss: 0.0508|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1238|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:41:22 || Estimated Time: 1 day, 14:32:06
2023-07-19 22:01:52,994 semantic_segmentation INFO: Iters: 9210/50000 || Lr: 0.016652 || Task Loss: 0.1495 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1154|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:41:56 || Estimated Time: 1 day, 14:31:32
2023-07-19 22:02:27,018 semantic_segmentation INFO: Iters: 9220/50000 || Lr: 0.016648 || Task Loss: 0.1619 || KD Loss: 0.0561|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1285|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:42:30 || Estimated Time: 1 day, 14:30:58
2023-07-19 22:03:01,186 semantic_segmentation INFO: Iters: 9230/50000 || Lr: 0.016645 || Task Loss: 0.1627 || KD Loss: 0.0522|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:43:04 || Estimated Time: 1 day, 14:30:25
2023-07-19 22:03:35,385 semantic_segmentation INFO: Iters: 9240/50000 || Lr: 0.016641 || Task Loss: 0.1665 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1076|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:43:38 || Estimated Time: 1 day, 14:29:52
2023-07-19 22:04:09,603 semantic_segmentation INFO: Iters: 9250/50000 || Lr: 0.016637 || Task Loss: 0.1414 || KD Loss: 0.0525|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1164|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:44:13 || Estimated Time: 1 day, 14:29:18
2023-07-19 22:04:43,935 semantic_segmentation INFO: Iters: 9260/50000 || Lr: 0.016634 || Task Loss: 0.1456 || KD Loss: 0.0584|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1268|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:44:47 || Estimated Time: 1 day, 14:28:46
2023-07-19 22:05:18,244 semantic_segmentation INFO: Iters: 9270/50000 || Lr: 0.016630 || Task Loss: 0.1485 || KD Loss: 0.0528|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1244|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:45:21 || Estimated Time: 1 day, 14:28:13
2023-07-19 22:05:52,603 semantic_segmentation INFO: Iters: 9280/50000 || Lr: 0.016626 || Task Loss: 0.1923 || KD Loss: 0.0582|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1157|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:45:56 || Estimated Time: 1 day, 14:27:41
2023-07-19 22:06:26,893 semantic_segmentation INFO: Iters: 9290/50000 || Lr: 0.016623 || Task Loss: 0.1500 || KD Loss: 0.0498|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:46:30 || Estimated Time: 1 day, 14:27:08
2023-07-19 22:07:01,364 semantic_segmentation INFO: Iters: 9300/50000 || Lr: 0.016619 || Task Loss: 0.1558 || KD Loss: 0.0595|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1219|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:47:04 || Estimated Time: 1 day, 14:26:36
2023-07-19 22:07:35,671 semantic_segmentation INFO: Iters: 9310/50000 || Lr: 0.016615 || Task Loss: 0.1465 || KD Loss: 0.0500|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:47:39 || Estimated Time: 1 day, 14:26:03
2023-07-19 22:08:10,106 semantic_segmentation INFO: Iters: 9320/50000 || Lr: 0.016612 || Task Loss: 0.1666 || KD Loss: 0.0475|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:48:13 || Estimated Time: 1 day, 14:25:31
2023-07-19 22:08:44,611 semantic_segmentation INFO: Iters: 9330/50000 || Lr: 0.016608 || Task Loss: 0.1636 || KD Loss: 0.0516|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1170|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:48:48 || Estimated Time: 1 day, 14:24:59
2023-07-19 22:09:19,268 semantic_segmentation INFO: Iters: 9340/50000 || Lr: 0.016604 || Task Loss: 0.1338 || KD Loss: 0.0543|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1310|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:49:22 || Estimated Time: 1 day, 14:24:28
2023-07-19 22:09:53,882 semantic_segmentation INFO: Iters: 9350/50000 || Lr: 0.016600 || Task Loss: 0.1474 || KD Loss: 0.0427|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:49:57 || Estimated Time: 1 day, 14:23:57
2023-07-19 22:10:28,415 semantic_segmentation INFO: Iters: 9360/50000 || Lr: 0.016597 || Task Loss: 0.1641 || KD Loss: 0.0510|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:50:32 || Estimated Time: 1 day, 14:23:25
2023-07-19 22:11:02,924 semantic_segmentation INFO: Iters: 9370/50000 || Lr: 0.016593 || Task Loss: 0.1932 || KD Loss: 0.0510|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:51:06 || Estimated Time: 1 day, 14:22:54
2023-07-19 22:11:37,510 semantic_segmentation INFO: Iters: 9380/50000 || Lr: 0.016589 || Task Loss: 0.1652 || KD Loss: 0.0511|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:51:41 || Estimated Time: 1 day, 14:22:22
2023-07-19 22:12:12,103 semantic_segmentation INFO: Iters: 9390/50000 || Lr: 0.016586 || Task Loss: 0.1416 || KD Loss: 0.0483|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:52:15 || Estimated Time: 1 day, 14:21:50
2023-07-19 22:12:46,696 semantic_segmentation INFO: Iters: 9400/50000 || Lr: 0.016582 || Task Loss: 0.1547 || KD Loss: 0.0457|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:52:50 || Estimated Time: 1 day, 14:21:19
2023-07-19 22:13:21,541 semantic_segmentation INFO: Iters: 9410/50000 || Lr: 0.016578 || Task Loss: 0.1432 || KD Loss: 0.0439|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:53:25 || Estimated Time: 1 day, 14:20:48
2023-07-19 22:13:56,131 semantic_segmentation INFO: Iters: 9420/50000 || Lr: 0.016575 || Task Loss: 0.1521 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:53:59 || Estimated Time: 1 day, 14:20:17
2023-07-19 22:14:30,784 semantic_segmentation INFO: Iters: 9430/50000 || Lr: 0.016571 || Task Loss: 0.1587 || KD Loss: 0.0454|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:54:34 || Estimated Time: 1 day, 14:19:46
2023-07-19 22:15:05,516 semantic_segmentation INFO: Iters: 9440/50000 || Lr: 0.016567 || Task Loss: 0.1986 || KD Loss: 0.0563|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:55:09 || Estimated Time: 1 day, 14:19:15
2023-07-19 22:15:40,247 semantic_segmentation INFO: Iters: 9450/50000 || Lr: 0.016564 || Task Loss: 0.1453 || KD Loss: 0.0483|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1231|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:55:43 || Estimated Time: 1 day, 14:18:44
2023-07-19 22:16:15,186 semantic_segmentation INFO: Iters: 9460/50000 || Lr: 0.016560 || Task Loss: 0.1587 || KD Loss: 0.0429|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:56:18 || Estimated Time: 1 day, 14:18:14
2023-07-19 22:16:50,115 semantic_segmentation INFO: Iters: 9470/50000 || Lr: 0.016556 || Task Loss: 0.1787 || KD Loss: 0.0511|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:56:53 || Estimated Time: 1 day, 14:17:44
2023-07-19 22:17:24,612 semantic_segmentation INFO: Iters: 9480/50000 || Lr: 0.016553 || Task Loss: 0.1423 || KD Loss: 0.0444|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:57:28 || Estimated Time: 1 day, 14:17:12
2023-07-19 22:17:59,299 semantic_segmentation INFO: Iters: 9490/50000 || Lr: 0.016549 || Task Loss: 0.1770 || KD Loss: 0.0490|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:58:02 || Estimated Time: 1 day, 14:16:41
2023-07-19 22:18:34,336 semantic_segmentation INFO: Iters: 9500/50000 || Lr: 0.016545 || Task Loss: 0.1727 || KD Loss: 0.0583|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1141|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:58:37 || Estimated Time: 1 day, 14:16:11
2023-07-19 22:19:09,119 semantic_segmentation INFO: Iters: 9510/50000 || Lr: 0.016542 || Task Loss: 0.1566 || KD Loss: 0.0513|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:59:12 || Estimated Time: 1 day, 14:15:40
2023-07-19 22:19:43,939 semantic_segmentation INFO: Iters: 9520/50000 || Lr: 0.016538 || Task Loss: 0.1953 || KD Loss: 0.0555|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:59:47 || Estimated Time: 1 day, 14:15:10
2023-07-19 22:20:18,762 semantic_segmentation INFO: Iters: 9530/50000 || Lr: 0.016534 || Task Loss: 0.1249 || KD Loss: 0.0511|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1213|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:00:22 || Estimated Time: 1 day, 14:14:39
2023-07-19 22:20:53,609 semantic_segmentation INFO: Iters: 9540/50000 || Lr: 0.016531 || Task Loss: 0.1417 || KD Loss: 0.0489|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1183|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:00:57 || Estimated Time: 1 day, 14:14:08
2023-07-19 22:21:28,582 semantic_segmentation INFO: Iters: 9550/50000 || Lr: 0.016527 || Task Loss: 0.1435 || KD Loss: 0.0535|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1340|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:01:32 || Estimated Time: 1 day, 14:13:38
2023-07-19 22:22:03,405 semantic_segmentation INFO: Iters: 9560/50000 || Lr: 0.016523 || Task Loss: 0.1465 || KD Loss: 0.0452|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1130|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:02:07 || Estimated Time: 1 day, 14:13:08
2023-07-19 22:22:38,204 semantic_segmentation INFO: Iters: 9570/50000 || Lr: 0.016520 || Task Loss: 0.1550 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:02:41 || Estimated Time: 1 day, 14:12:37
2023-07-19 22:23:13,035 semantic_segmentation INFO: Iters: 9580/50000 || Lr: 0.016516 || Task Loss: 0.1604 || KD Loss: 0.0557|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:03:16 || Estimated Time: 1 day, 14:12:06
2023-07-19 22:23:48,132 semantic_segmentation INFO: Iters: 9590/50000 || Lr: 0.016512 || Task Loss: 0.1508 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:03:51 || Estimated Time: 1 day, 14:11:37
2023-07-19 22:24:23,318 semantic_segmentation INFO: Iters: 9600/50000 || Lr: 0.016509 || Task Loss: 0.1412 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:04:26 || Estimated Time: 1 day, 14:11:08
2023-07-19 22:24:23,383 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 22:24:23,736 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.955, mIoU: 0.682
2023-07-19 22:24:23,776 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.957, mIoU: 0.687
2023-07-19 22:24:23,789 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.956, mIoU: 0.684
2023-07-19 22:24:23,802 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.954, mIoU: 0.674
2023-07-19 22:24:23,815 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.952, mIoU: 0.666
2023-07-19 22:24:23,829 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.952, mIoU: 0.665
2023-07-19 22:24:23,842 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.952, mIoU: 0.666
2023-07-19 22:24:23,855 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.952, mIoU: 0.667
2023-07-19 22:24:23,868 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.952, mIoU: 0.667
2023-07-19 22:24:23,883 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.952, mIoU: 0.669
2023-07-19 22:24:23,897 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.952, mIoU: 0.671
2023-07-19 22:24:23,911 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.951, mIoU: 0.670
2023-07-19 22:24:23,926 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.951, mIoU: 0.671
2023-07-19 22:24:23,940 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.951, mIoU: 0.672
2023-07-19 22:24:23,954 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.951, mIoU: 0.673
2023-07-19 22:24:23,968 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.951, mIoU: 0.672
2023-07-19 22:24:23,982 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.951, mIoU: 0.671
2023-07-19 22:24:23,996 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.950, mIoU: 0.670
2023-07-19 22:24:24,010 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.949, mIoU: 0.669
2023-07-19 22:24:24,024 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.948, mIoU: 0.667
2023-07-19 22:24:24,038 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.948, mIoU: 0.667
2023-07-19 22:24:24,052 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.948, mIoU: 0.665
2023-07-19 22:24:24,067 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.947, mIoU: 0.664
2023-07-19 22:24:24,081 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.947, mIoU: 0.662
2023-07-19 22:24:24,096 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.947, mIoU: 0.662
2023-07-19 22:24:24,111 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.947, mIoU: 0.662
2023-07-19 22:24:24,126 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.947, mIoU: 0.663
2023-07-19 22:24:24,141 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.947, mIoU: 0.663
2023-07-19 22:24:24,156 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.947, mIoU: 0.664
2023-07-19 22:24:24,171 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.947, mIoU: 0.664
2023-07-19 22:24:24,186 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.948, mIoU: 0.665
2023-07-19 22:24:24,201 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.948, mIoU: 0.666
2023-07-19 22:24:24,215 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.948, mIoU: 0.667
2023-07-19 22:24:24,230 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.948, mIoU: 0.668
2023-07-19 22:24:24,245 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.948, mIoU: 0.668
2023-07-19 22:24:24,260 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.947, mIoU: 0.668
2023-07-19 22:24:24,275 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.946, mIoU: 0.667
2023-07-19 22:24:24,289 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.946, mIoU: 0.668
2023-07-19 22:24:24,303 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.946, mIoU: 0.669
2023-07-19 22:24:24,317 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.946, mIoU: 0.670
2023-07-19 22:24:24,331 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.946, mIoU: 0.671
2023-07-19 22:24:24,345 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.946, mIoU: 0.673
2023-07-19 22:24:24,359 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.947, mIoU: 0.674
2023-07-19 22:24:24,374 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.947, mIoU: 0.676
2023-07-19 22:24:24,388 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.946, mIoU: 0.677
2023-07-19 22:24:24,401 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.946, mIoU: 0.679
2023-07-19 22:24:24,415 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.946, mIoU: 0.680
2023-07-19 22:24:24,429 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.946, mIoU: 0.682
2023-07-19 22:24:24,443 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.946, mIoU: 0.683
2023-07-19 22:24:24,457 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.945, mIoU: 0.683
2023-07-19 22:24:24,471 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.945, mIoU: 0.684
2023-07-19 22:24:24,485 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.945, mIoU: 0.685
2023-07-19 22:24:24,500 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.944, mIoU: 0.686
2023-07-19 22:24:24,514 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.944, mIoU: 0.687
2023-07-19 22:24:24,529 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.944, mIoU: 0.687
2023-07-19 22:24:24,543 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.943, mIoU: 0.688
2023-07-19 22:24:24,557 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.943, mIoU: 0.688
2023-07-19 22:24:24,572 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.943, mIoU: 0.689
2023-07-19 22:24:24,586 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.943, mIoU: 0.690
2023-07-19 22:24:24,601 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.942, mIoU: 0.691
2023-07-19 22:24:24,615 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.942, mIoU: 0.692
2023-07-19 22:24:24,629 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.942, mIoU: 0.693
2023-07-19 22:24:24,644 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.941, mIoU: 0.694
2023-07-19 22:24:24,658 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.941, mIoU: 0.695
2023-07-19 22:24:24,672 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.940, mIoU: 0.696
2023-07-19 22:24:24,686 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.940, mIoU: 0.697
2023-07-19 22:24:24,701 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.939, mIoU: 0.698
2023-07-19 22:24:24,715 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.939, mIoU: 0.699
2023-07-19 22:24:24,729 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-19 22:24:24,744 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.938, mIoU: 0.702
2023-07-19 22:24:24,758 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.938, mIoU: 0.703
2023-07-19 22:24:24,772 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-19 22:24:24,787 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-19 22:24:24,801 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-19 22:24:24,815 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-19 22:24:24,829 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-19 22:24:24,843 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-19 22:24:24,858 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-19 22:24:24,872 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-19 22:24:24,886 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-19 22:24:24,901 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.934, mIoU: 0.698
2023-07-19 22:24:24,915 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.933, mIoU: 0.698
2023-07-19 22:24:24,929 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.933, mIoU: 0.696
2023-07-19 22:24:24,944 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.932, mIoU: 0.695
2023-07-19 22:24:24,958 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.932, mIoU: 0.694
2023-07-19 22:24:24,973 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.932, mIoU: 0.692
2023-07-19 22:24:24,987 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.932, mIoU: 0.691
2023-07-19 22:24:25,001 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.931, mIoU: 0.689
2023-07-19 22:24:25,016 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.931, mIoU: 0.687
2023-07-19 22:24:25,030 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.931, mIoU: 0.687
2023-07-19 22:24:25,044 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.931, mIoU: 0.686
2023-07-19 22:24:25,059 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.931, mIoU: 0.686
2023-07-19 22:24:25,073 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.931, mIoU: 0.686
2023-07-19 22:24:25,087 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-19 22:24:25,101 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-19 22:24:25,114 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-19 22:24:25,128 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-19 22:24:25,142 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-19 22:24:25,156 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-19 22:24:25,170 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-19 22:24:25,184 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-19 22:25:00,241 semantic_segmentation INFO: Iters: 9610/50000 || Lr: 0.016505 || Task Loss: 0.1953 || KD Loss: 0.0591|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:05:03 || Estimated Time: 1 day, 14:10:46
2023-07-19 22:25:35,364 semantic_segmentation INFO: Iters: 9620/50000 || Lr: 0.016501 || Task Loss: 0.1423 || KD Loss: 0.0445|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:05:38 || Estimated Time: 1 day, 14:10:16
2023-07-19 22:26:10,171 semantic_segmentation INFO: Iters: 9630/50000 || Lr: 0.016498 || Task Loss: 0.1428 || KD Loss: 0.0488|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1189|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:06:13 || Estimated Time: 1 day, 14:09:46
2023-07-19 22:26:45,221 semantic_segmentation INFO: Iters: 9640/50000 || Lr: 0.016494 || Task Loss: 0.1612 || KD Loss: 0.0451|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:06:48 || Estimated Time: 1 day, 14:09:16
2023-07-19 22:27:20,170 semantic_segmentation INFO: Iters: 9650/50000 || Lr: 0.016490 || Task Loss: 0.1802 || KD Loss: 0.0617|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:07:23 || Estimated Time: 1 day, 14:08:46
2023-07-19 22:27:55,424 semantic_segmentation INFO: Iters: 9660/50000 || Lr: 0.016487 || Task Loss: 0.1872 || KD Loss: 0.0645|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1280|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:07:59 || Estimated Time: 1 day, 14:08:17
2023-07-19 22:28:30,206 semantic_segmentation INFO: Iters: 9670/50000 || Lr: 0.016483 || Task Loss: 0.1717 || KD Loss: 0.0504|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:08:33 || Estimated Time: 1 day, 14:07:46
2023-07-19 22:29:05,060 semantic_segmentation INFO: Iters: 9680/50000 || Lr: 0.016479 || Task Loss: 0.1574 || KD Loss: 0.0519|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1118|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:09:08 || Estimated Time: 1 day, 14:07:15
2023-07-19 22:29:39,870 semantic_segmentation INFO: Iters: 9690/50000 || Lr: 0.016475 || Task Loss: 0.1315 || KD Loss: 0.0473|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1237|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:09:43 || Estimated Time: 1 day, 14:06:44
2023-07-19 22:30:14,993 semantic_segmentation INFO: Iters: 9700/50000 || Lr: 0.016472 || Task Loss: 0.1525 || KD Loss: 0.0543|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1185|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:10:18 || Estimated Time: 1 day, 14:06:15
2023-07-19 22:30:50,139 semantic_segmentation INFO: Iters: 9710/50000 || Lr: 0.016468 || Task Loss: 0.1616 || KD Loss: 0.0568|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:10:53 || Estimated Time: 1 day, 14:05:45
2023-07-19 22:31:24,925 semantic_segmentation INFO: Iters: 9720/50000 || Lr: 0.016464 || Task Loss: 0.1631 || KD Loss: 0.0473|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:11:28 || Estimated Time: 1 day, 14:05:14
2023-07-19 22:31:59,974 semantic_segmentation INFO: Iters: 9730/50000 || Lr: 0.016461 || Task Loss: 0.1391 || KD Loss: 0.0508|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1243|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:12:03 || Estimated Time: 1 day, 14:04:45
2023-07-19 22:32:35,172 semantic_segmentation INFO: Iters: 9740/50000 || Lr: 0.016457 || Task Loss: 0.1567 || KD Loss: 0.0505|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1204|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:12:38 || Estimated Time: 1 day, 14:04:15
2023-07-19 22:33:10,294 semantic_segmentation INFO: Iters: 9750/50000 || Lr: 0.016453 || Task Loss: 0.1707 || KD Loss: 0.0479|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:13:13 || Estimated Time: 1 day, 14:03:46
2023-07-19 22:33:45,211 semantic_segmentation INFO: Iters: 9760/50000 || Lr: 0.016450 || Task Loss: 0.1497 || KD Loss: 0.0492|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1320|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:13:48 || Estimated Time: 1 day, 14:03:15
2023-07-19 22:34:20,447 semantic_segmentation INFO: Iters: 9770/50000 || Lr: 0.016446 || Task Loss: 0.1383 || KD Loss: 0.0475|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1125|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:14:24 || Estimated Time: 1 day, 14:02:46
2023-07-19 22:34:55,677 semantic_segmentation INFO: Iters: 9780/50000 || Lr: 0.016442 || Task Loss: 0.1540 || KD Loss: 0.0540|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1232|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:14:59 || Estimated Time: 1 day, 14:02:17
2023-07-19 22:35:30,678 semantic_segmentation INFO: Iters: 9790/50000 || Lr: 0.016439 || Task Loss: 0.1417 || KD Loss: 0.0467|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:15:34 || Estimated Time: 1 day, 14:01:47
2023-07-19 22:36:05,533 semantic_segmentation INFO: Iters: 9800/50000 || Lr: 0.016435 || Task Loss: 0.1538 || KD Loss: 0.0471|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:16:09 || Estimated Time: 1 day, 14:01:16
2023-07-19 22:36:40,310 semantic_segmentation INFO: Iters: 9810/50000 || Lr: 0.016431 || Task Loss: 0.1257 || KD Loss: 0.0456|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:16:43 || Estimated Time: 1 day, 14:00:45
2023-07-19 22:37:15,338 semantic_segmentation INFO: Iters: 9820/50000 || Lr: 0.016428 || Task Loss: 0.1432 || KD Loss: 0.0548|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1271|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:17:18 || Estimated Time: 1 day, 14:00:15
2023-07-19 22:37:50,623 semantic_segmentation INFO: Iters: 9830/50000 || Lr: 0.016424 || Task Loss: 0.1243 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1255|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:17:54 || Estimated Time: 1 day, 13:59:46
2023-07-19 22:38:25,806 semantic_segmentation INFO: Iters: 9840/50000 || Lr: 0.016420 || Task Loss: 0.1451 || KD Loss: 0.0508|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1249|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:18:29 || Estimated Time: 1 day, 13:59:17
2023-07-19 22:39:00,823 semantic_segmentation INFO: Iters: 9850/50000 || Lr: 0.016417 || Task Loss: 0.1567 || KD Loss: 0.0562|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1140|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:19:04 || Estimated Time: 1 day, 13:58:47
2023-07-19 22:39:36,150 semantic_segmentation INFO: Iters: 9860/50000 || Lr: 0.016413 || Task Loss: 0.1650 || KD Loss: 0.0638|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1375|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:19:39 || Estimated Time: 1 day, 13:58:18
2023-07-19 22:40:11,054 semantic_segmentation INFO: Iters: 9870/50000 || Lr: 0.016409 || Task Loss: 0.1437 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:20:14 || Estimated Time: 1 day, 13:57:47
2023-07-19 22:40:45,879 semantic_segmentation INFO: Iters: 9880/50000 || Lr: 0.016406 || Task Loss: 0.1427 || KD Loss: 0.0523|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1193|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:20:49 || Estimated Time: 1 day, 13:57:16
2023-07-19 22:41:20,928 semantic_segmentation INFO: Iters: 9890/50000 || Lr: 0.016402 || Task Loss: 0.1497 || KD Loss: 0.0545|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:21:24 || Estimated Time: 1 day, 13:56:46
2023-07-19 22:41:56,319 semantic_segmentation INFO: Iters: 9900/50000 || Lr: 0.016398 || Task Loss: 0.1475 || KD Loss: 0.0442|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1146|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:21:59 || Estimated Time: 1 day, 13:56:17
2023-07-19 22:42:31,318 semantic_segmentation INFO: Iters: 9910/50000 || Lr: 0.016395 || Task Loss: 0.1477 || KD Loss: 0.0555|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:22:34 || Estimated Time: 1 day, 13:55:47
2023-07-19 22:43:06,727 semantic_segmentation INFO: Iters: 9920/50000 || Lr: 0.016391 || Task Loss: 0.1328 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1098|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:23:10 || Estimated Time: 1 day, 13:55:19
2023-07-19 22:43:42,201 semantic_segmentation INFO: Iters: 9930/50000 || Lr: 0.016387 || Task Loss: 0.1352 || KD Loss: 0.0516|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1150|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:23:45 || Estimated Time: 1 day, 13:54:50
2023-07-19 22:44:17,025 semantic_segmentation INFO: Iters: 9940/50000 || Lr: 0.016383 || Task Loss: 0.2014 || KD Loss: 0.0647|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:24:20 || Estimated Time: 1 day, 13:54:19
2023-07-19 22:44:52,464 semantic_segmentation INFO: Iters: 9950/50000 || Lr: 0.016380 || Task Loss: 0.1401 || KD Loss: 0.0418|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:24:56 || Estimated Time: 1 day, 13:53:50
2023-07-19 22:45:27,854 semantic_segmentation INFO: Iters: 9960/50000 || Lr: 0.016376 || Task Loss: 0.1552 || KD Loss: 0.0444|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:25:31 || Estimated Time: 1 day, 13:53:22
2023-07-19 22:46:03,394 semantic_segmentation INFO: Iters: 9970/50000 || Lr: 0.016372 || Task Loss: 0.1413 || KD Loss: 0.0494|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1120|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:26:06 || Estimated Time: 1 day, 13:52:54
2023-07-19 22:46:38,109 semantic_segmentation INFO: Iters: 9980/50000 || Lr: 0.016369 || Task Loss: 0.1671 || KD Loss: 0.0430|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:26:41 || Estimated Time: 1 day, 13:52:22
2023-07-19 22:47:13,554 semantic_segmentation INFO: Iters: 9990/50000 || Lr: 0.016365 || Task Loss: 0.1522 || KD Loss: 0.0577|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1214|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:27:17 || Estimated Time: 1 day, 13:51:54
2023-07-19 22:47:48,708 semantic_segmentation INFO: Iters: 10000/50000 || Lr: 0.016361 || Task Loss: 0.1686 || KD Loss: 0.0613|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1270|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:27:52 || Estimated Time: 1 day, 13:51:24
2023-07-19 22:48:23,830 semantic_segmentation INFO: Iters: 10010/50000 || Lr: 0.016358 || Task Loss: 0.1460 || KD Loss: 0.0446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:28:27 || Estimated Time: 1 day, 13:50:54
2023-07-19 22:48:59,405 semantic_segmentation INFO: Iters: 10020/50000 || Lr: 0.016354 || Task Loss: 0.1371 || KD Loss: 0.0486|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:29:03 || Estimated Time: 1 day, 13:50:26
2023-07-19 22:49:34,601 semantic_segmentation INFO: Iters: 10030/50000 || Lr: 0.016350 || Task Loss: 0.1410 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1168|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:29:38 || Estimated Time: 1 day, 13:49:56
2023-07-19 22:50:09,671 semantic_segmentation INFO: Iters: 10040/50000 || Lr: 0.016347 || Task Loss: 0.1332 || KD Loss: 0.0489|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1224|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:30:13 || Estimated Time: 1 day, 13:49:26
2023-07-19 22:50:45,371 semantic_segmentation INFO: Iters: 10050/50000 || Lr: 0.016343 || Task Loss: 0.1862 || KD Loss: 0.0515|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:30:48 || Estimated Time: 1 day, 13:48:58
2023-07-19 22:51:20,649 semantic_segmentation INFO: Iters: 10060/50000 || Lr: 0.016339 || Task Loss: 0.1665 || KD Loss: 0.0463|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:31:24 || Estimated Time: 1 day, 13:48:29
2023-07-19 22:51:56,163 semantic_segmentation INFO: Iters: 10070/50000 || Lr: 0.016336 || Task Loss: 0.1476 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:31:59 || Estimated Time: 1 day, 13:48:01
2023-07-19 22:52:31,565 semantic_segmentation INFO: Iters: 10080/50000 || Lr: 0.016332 || Task Loss: 0.1397 || KD Loss: 0.0576|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1224|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:32:35 || Estimated Time: 1 day, 13:47:32
2023-07-19 22:53:06,820 semantic_segmentation INFO: Iters: 10090/50000 || Lr: 0.016328 || Task Loss: 0.1367 || KD Loss: 0.0487|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:33:10 || Estimated Time: 1 day, 13:47:02
2023-07-19 22:53:42,029 semantic_segmentation INFO: Iters: 10100/50000 || Lr: 0.016325 || Task Loss: 0.1665 || KD Loss: 0.0528|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1179|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:33:45 || Estimated Time: 1 day, 13:46:33
2023-07-19 22:54:17,547 semantic_segmentation INFO: Iters: 10110/50000 || Lr: 0.016321 || Task Loss: 0.1551 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:34:21 || Estimated Time: 1 day, 13:46:05
2023-07-19 22:54:53,156 semantic_segmentation INFO: Iters: 10120/50000 || Lr: 0.016317 || Task Loss: 0.1439 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:34:56 || Estimated Time: 1 day, 13:45:37
2023-07-19 22:55:28,303 semantic_segmentation INFO: Iters: 10130/50000 || Lr: 0.016314 || Task Loss: 0.1540 || KD Loss: 0.0451|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:35:31 || Estimated Time: 1 day, 13:45:07
2023-07-19 22:56:03,550 semantic_segmentation INFO: Iters: 10140/50000 || Lr: 0.016310 || Task Loss: 0.1262 || KD Loss: 0.0508|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1177|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:36:07 || Estimated Time: 1 day, 13:44:37
2023-07-19 22:56:38,989 semantic_segmentation INFO: Iters: 10150/50000 || Lr: 0.016306 || Task Loss: 0.1395 || KD Loss: 0.0518|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1168|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:36:42 || Estimated Time: 1 day, 13:44:08
2023-07-19 22:57:14,614 semantic_segmentation INFO: Iters: 10160/50000 || Lr: 0.016302 || Task Loss: 0.1537 || KD Loss: 0.0502|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1186|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:37:18 || Estimated Time: 1 day, 13:43:40
2023-07-19 22:57:50,443 semantic_segmentation INFO: Iters: 10170/50000 || Lr: 0.016299 || Task Loss: 0.1341 || KD Loss: 0.0452|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:37:54 || Estimated Time: 1 day, 13:43:13
2023-07-19 22:58:25,847 semantic_segmentation INFO: Iters: 10180/50000 || Lr: 0.016295 || Task Loss: 0.1530 || KD Loss: 0.0459|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:38:29 || Estimated Time: 1 day, 13:42:44
2023-07-19 22:59:01,077 semantic_segmentation INFO: Iters: 10190/50000 || Lr: 0.016291 || Task Loss: 0.1382 || KD Loss: 0.0477|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1188|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:39:04 || Estimated Time: 1 day, 13:42:14
2023-07-19 22:59:36,463 semantic_segmentation INFO: Iters: 10200/50000 || Lr: 0.016288 || Task Loss: 0.1639 || KD Loss: 0.0506|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:39:40 || Estimated Time: 1 day, 13:41:45
2023-07-19 23:00:11,827 semantic_segmentation INFO: Iters: 10210/50000 || Lr: 0.016284 || Task Loss: 0.1528 || KD Loss: 0.0485|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1180|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:40:15 || Estimated Time: 1 day, 13:41:16
2023-07-19 23:00:47,600 semantic_segmentation INFO: Iters: 10220/50000 || Lr: 0.016280 || Task Loss: 0.1627 || KD Loss: 0.0468|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:40:51 || Estimated Time: 1 day, 13:40:49
2023-07-19 23:01:23,207 semantic_segmentation INFO: Iters: 10230/50000 || Lr: 0.016277 || Task Loss: 0.1249 || KD Loss: 0.0459|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1271|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:41:26 || Estimated Time: 1 day, 13:40:20
2023-07-19 23:01:58,396 semantic_segmentation INFO: Iters: 10240/50000 || Lr: 0.016273 || Task Loss: 0.1374 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:42:01 || Estimated Time: 1 day, 13:39:50
2023-07-19 23:02:34,082 semantic_segmentation INFO: Iters: 10250/50000 || Lr: 0.016269 || Task Loss: 0.1557 || KD Loss: 0.0557|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:42:37 || Estimated Time: 1 day, 13:39:22
2023-07-19 23:03:09,400 semantic_segmentation INFO: Iters: 10260/50000 || Lr: 0.016266 || Task Loss: 0.1795 || KD Loss: 0.0634|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1207|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:43:13 || Estimated Time: 1 day, 13:38:53
2023-07-19 23:03:44,780 semantic_segmentation INFO: Iters: 10270/50000 || Lr: 0.016262 || Task Loss: 0.1639 || KD Loss: 0.0544|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1196|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:43:48 || Estimated Time: 1 day, 13:38:24
2023-07-19 23:04:20,456 semantic_segmentation INFO: Iters: 10280/50000 || Lr: 0.016258 || Task Loss: 0.2073 || KD Loss: 0.0539|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:44:24 || Estimated Time: 1 day, 13:37:56
2023-07-19 23:04:56,109 semantic_segmentation INFO: Iters: 10290/50000 || Lr: 0.016255 || Task Loss: 0.2242 || KD Loss: 0.0639|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:44:59 || Estimated Time: 1 day, 13:37:28
2023-07-19 23:05:31,370 semantic_segmentation INFO: Iters: 10300/50000 || Lr: 0.016251 || Task Loss: 0.1505 || KD Loss: 0.0472|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:45:34 || Estimated Time: 1 day, 13:36:58
2023-07-19 23:06:06,880 semantic_segmentation INFO: Iters: 10310/50000 || Lr: 0.016247 || Task Loss: 0.1626 || KD Loss: 0.0591|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1196|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:46:10 || Estimated Time: 1 day, 13:36:29
2023-07-19 23:06:42,558 semantic_segmentation INFO: Iters: 10320/50000 || Lr: 0.016244 || Task Loss: 0.1559 || KD Loss: 0.0510|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1222|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:46:46 || Estimated Time: 1 day, 13:36:01
2023-07-19 23:07:18,309 semantic_segmentation INFO: Iters: 10330/50000 || Lr: 0.016240 || Task Loss: 0.1407 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:47:21 || Estimated Time: 1 day, 13:35:33
2023-07-19 23:07:53,731 semantic_segmentation INFO: Iters: 10340/50000 || Lr: 0.016236 || Task Loss: 0.1688 || KD Loss: 0.0466|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:47:57 || Estimated Time: 1 day, 13:35:04
2023-07-19 23:08:29,414 semantic_segmentation INFO: Iters: 10350/50000 || Lr: 0.016233 || Task Loss: 0.1489 || KD Loss: 0.0492|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1219|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:48:33 || Estimated Time: 1 day, 13:34:36
2023-07-19 23:09:05,109 semantic_segmentation INFO: Iters: 10360/50000 || Lr: 0.016229 || Task Loss: 0.1580 || KD Loss: 0.0558|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1287|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:49:08 || Estimated Time: 1 day, 13:34:08
2023-07-19 23:09:40,720 semantic_segmentation INFO: Iters: 10370/50000 || Lr: 0.016225 || Task Loss: 0.1424 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:49:44 || Estimated Time: 1 day, 13:33:40
2023-07-19 23:10:16,176 semantic_segmentation INFO: Iters: 10380/50000 || Lr: 0.016221 || Task Loss: 0.1532 || KD Loss: 0.0674|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1235|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:50:19 || Estimated Time: 1 day, 13:33:10
2023-07-19 23:10:51,769 semantic_segmentation INFO: Iters: 10390/50000 || Lr: 0.016218 || Task Loss: 0.1493 || KD Loss: 0.0566|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1219|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:50:55 || Estimated Time: 1 day, 13:32:42
2023-07-19 23:11:27,197 semantic_segmentation INFO: Iters: 10400/50000 || Lr: 0.016214 || Task Loss: 0.1528 || KD Loss: 0.0520|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1151|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:51:30 || Estimated Time: 1 day, 13:32:13
2023-07-19 23:11:27,260 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 23:11:27,626 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.956, mIoU: 0.682
2023-07-19 23:11:27,653 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.957, mIoU: 0.689
2023-07-19 23:11:27,666 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.956, mIoU: 0.684
2023-07-19 23:11:27,679 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.954, mIoU: 0.674
2023-07-19 23:11:27,692 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.952, mIoU: 0.666
2023-07-19 23:11:27,706 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.951, mIoU: 0.664
2023-07-19 23:11:27,720 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.952, mIoU: 0.665
2023-07-19 23:11:27,734 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.951, mIoU: 0.664
2023-07-19 23:11:27,748 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.951, mIoU: 0.664
2023-07-19 23:11:27,762 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.951, mIoU: 0.665
2023-07-19 23:11:27,776 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.951, mIoU: 0.667
2023-07-19 23:11:27,791 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.950, mIoU: 0.667
2023-07-19 23:11:27,805 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.950, mIoU: 0.668
2023-07-19 23:11:27,819 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.950, mIoU: 0.669
2023-07-19 23:11:27,834 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.950, mIoU: 0.670
2023-07-19 23:11:27,849 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.950, mIoU: 0.670
2023-07-19 23:11:27,863 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.950, mIoU: 0.669
2023-07-19 23:11:27,878 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.949, mIoU: 0.668
2023-07-19 23:11:27,892 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.948, mIoU: 0.666
2023-07-19 23:11:27,906 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.947, mIoU: 0.664
2023-07-19 23:11:27,921 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.947, mIoU: 0.664
2023-07-19 23:11:27,935 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.946, mIoU: 0.662
2023-07-19 23:11:27,950 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.946, mIoU: 0.660
2023-07-19 23:11:27,964 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.945, mIoU: 0.658
2023-07-19 23:11:27,978 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.945, mIoU: 0.658
2023-07-19 23:11:27,994 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.945, mIoU: 0.659
2023-07-19 23:11:28,009 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.945, mIoU: 0.659
2023-07-19 23:11:28,024 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.945, mIoU: 0.659
2023-07-19 23:11:28,039 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.946, mIoU: 0.661
2023-07-19 23:11:28,054 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.946, mIoU: 0.662
2023-07-19 23:11:28,069 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.946, mIoU: 0.663
2023-07-19 23:11:28,084 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.946, mIoU: 0.664
2023-07-19 23:11:28,099 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.946, mIoU: 0.665
2023-07-19 23:11:28,114 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.946, mIoU: 0.665
2023-07-19 23:11:28,129 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.946, mIoU: 0.666
2023-07-19 23:11:28,144 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.945, mIoU: 0.666
2023-07-19 23:11:28,159 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.944, mIoU: 0.666
2023-07-19 23:11:28,173 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.944, mIoU: 0.667
2023-07-19 23:11:28,187 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.944, mIoU: 0.668
2023-07-19 23:11:28,202 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.944, mIoU: 0.669
2023-07-19 23:11:28,216 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.944, mIoU: 0.670
2023-07-19 23:11:28,230 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.944, mIoU: 0.671
2023-07-19 23:11:28,245 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.944, mIoU: 0.673
2023-07-19 23:11:28,259 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.944, mIoU: 0.675
2023-07-19 23:11:28,273 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.943, mIoU: 0.676
2023-07-19 23:11:28,288 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.944, mIoU: 0.677
2023-07-19 23:11:28,302 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.944, mIoU: 0.679
2023-07-19 23:11:28,316 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.944, mIoU: 0.680
2023-07-19 23:11:28,330 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.944, mIoU: 0.682
2023-07-19 23:11:28,344 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.943, mIoU: 0.682
2023-07-19 23:11:28,358 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.943, mIoU: 0.683
2023-07-19 23:11:28,373 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.942, mIoU: 0.683
2023-07-19 23:11:28,389 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.942, mIoU: 0.684
2023-07-19 23:11:28,404 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.942, mIoU: 0.684
2023-07-19 23:11:28,419 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.941, mIoU: 0.684
2023-07-19 23:11:28,434 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.941, mIoU: 0.685
2023-07-19 23:11:28,449 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.940, mIoU: 0.685
2023-07-19 23:11:28,465 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.940, mIoU: 0.686
2023-07-19 23:11:28,480 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.940, mIoU: 0.687
2023-07-19 23:11:28,495 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.940, mIoU: 0.687
2023-07-19 23:11:28,510 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.939, mIoU: 0.688
2023-07-19 23:11:28,525 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.939, mIoU: 0.689
2023-07-19 23:11:28,541 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.939, mIoU: 0.690
2023-07-19 23:11:28,556 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.938, mIoU: 0.691
2023-07-19 23:11:28,571 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.938, mIoU: 0.692
2023-07-19 23:11:28,585 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.937, mIoU: 0.693
2023-07-19 23:11:28,600 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.937, mIoU: 0.693
2023-07-19 23:11:28,614 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.936, mIoU: 0.694
2023-07-19 23:11:28,628 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.936, mIoU: 0.695
2023-07-19 23:11:28,643 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-19 23:11:28,657 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-19 23:11:28,671 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-19 23:11:28,686 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-19 23:11:28,700 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.933, mIoU: 0.696
2023-07-19 23:11:28,714 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.933, mIoU: 0.695
2023-07-19 23:11:28,728 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.933, mIoU: 0.695
2023-07-19 23:11:28,742 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.932, mIoU: 0.694
2023-07-19 23:11:28,756 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.932, mIoU: 0.693
2023-07-19 23:11:28,770 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.931, mIoU: 0.692
2023-07-19 23:11:28,785 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.931, mIoU: 0.692
2023-07-19 23:11:28,800 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.931, mIoU: 0.691
2023-07-19 23:11:28,814 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.930, mIoU: 0.690
2023-07-19 23:11:28,829 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.930, mIoU: 0.689
2023-07-19 23:11:28,843 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.929, mIoU: 0.688
2023-07-19 23:11:28,858 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.929, mIoU: 0.687
2023-07-19 23:11:28,872 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.929, mIoU: 0.686
2023-07-19 23:11:28,887 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.928, mIoU: 0.684
2023-07-19 23:11:28,901 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.928, mIoU: 0.682
2023-07-19 23:11:28,916 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.928, mIoU: 0.680
2023-07-19 23:11:28,930 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.928, mIoU: 0.679
2023-07-19 23:11:28,944 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.928, mIoU: 0.678
2023-07-19 23:11:28,959 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.928, mIoU: 0.678
2023-07-19 23:11:28,973 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.928, mIoU: 0.678
2023-07-19 23:11:28,988 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.928, mIoU: 0.678
2023-07-19 23:11:29,002 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.929, mIoU: 0.678
2023-07-19 23:11:29,016 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.929, mIoU: 0.678
2023-07-19 23:11:29,030 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.929, mIoU: 0.679
2023-07-19 23:11:29,044 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.929, mIoU: 0.679
2023-07-19 23:11:29,058 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.929, mIoU: 0.679
2023-07-19 23:11:29,073 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.930, mIoU: 0.678
2023-07-19 23:11:29,086 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.930, mIoU: 0.678
2023-07-19 23:12:04,780 semantic_segmentation INFO: Iters: 10410/50000 || Lr: 0.016210 || Task Loss: 0.1402 || KD Loss: 0.0491|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1233|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:52:08 || Estimated Time: 1 day, 13:31:52
2023-07-19 23:12:40,079 semantic_segmentation INFO: Iters: 10420/50000 || Lr: 0.016207 || Task Loss: 0.1665 || KD Loss: 0.0489|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:52:43 || Estimated Time: 1 day, 13:31:23
2023-07-19 23:13:16,015 semantic_segmentation INFO: Iters: 10430/50000 || Lr: 0.016203 || Task Loss: 0.1669 || KD Loss: 0.0631|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1405|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:53:19 || Estimated Time: 1 day, 13:30:55
2023-07-19 23:13:51,568 semantic_segmentation INFO: Iters: 10440/50000 || Lr: 0.016199 || Task Loss: 0.1458 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:53:55 || Estimated Time: 1 day, 13:30:26
2023-07-19 23:14:26,977 semantic_segmentation INFO: Iters: 10450/50000 || Lr: 0.016196 || Task Loss: 0.1439 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:54:30 || Estimated Time: 1 day, 13:29:57
2023-07-19 23:15:02,639 semantic_segmentation INFO: Iters: 10460/50000 || Lr: 0.016192 || Task Loss: 0.1376 || KD Loss: 0.0460|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1122|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:55:06 || Estimated Time: 1 day, 13:29:29
2023-07-19 23:15:38,048 semantic_segmentation INFO: Iters: 10470/50000 || Lr: 0.016188 || Task Loss: 0.2034 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0841|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:55:41 || Estimated Time: 1 day, 13:28:59
2023-07-19 23:16:14,364 semantic_segmentation INFO: Iters: 10480/50000 || Lr: 0.016185 || Task Loss: 0.1373 || KD Loss: 0.0438|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1173|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:56:17 || Estimated Time: 1 day, 13:28:33
2023-07-19 23:16:49,648 semantic_segmentation INFO: Iters: 10490/50000 || Lr: 0.016181 || Task Loss: 0.1568 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:56:53 || Estimated Time: 1 day, 13:28:04
2023-07-19 23:17:25,633 semantic_segmentation INFO: Iters: 10500/50000 || Lr: 0.016177 || Task Loss: 0.1409 || KD Loss: 0.0431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1129|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:57:29 || Estimated Time: 1 day, 13:27:36
2023-07-19 23:18:01,309 semantic_segmentation INFO: Iters: 10510/50000 || Lr: 0.016174 || Task Loss: 0.1440 || KD Loss: 0.0530|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1251|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:58:04 || Estimated Time: 1 day, 13:27:08
2023-07-19 23:18:36,928 semantic_segmentation INFO: Iters: 10520/50000 || Lr: 0.016170 || Task Loss: 0.1533 || KD Loss: 0.0421|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:58:40 || Estimated Time: 1 day, 13:26:39
2023-07-19 23:19:12,710 semantic_segmentation INFO: Iters: 10530/50000 || Lr: 0.016166 || Task Loss: 0.1403 || KD Loss: 0.0461|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1114|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:59:16 || Estimated Time: 1 day, 13:26:11
2023-07-19 23:19:48,472 semantic_segmentation INFO: Iters: 10540/50000 || Lr: 0.016162 || Task Loss: 0.1429 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 9:59:52 || Estimated Time: 1 day, 13:25:43
2023-07-19 23:20:23,922 semantic_segmentation INFO: Iters: 10550/50000 || Lr: 0.016159 || Task Loss: 0.1332 || KD Loss: 0.0471|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1190|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:00:27 || Estimated Time: 1 day, 13:25:14
2023-07-19 23:20:59,514 semantic_segmentation INFO: Iters: 10560/50000 || Lr: 0.016155 || Task Loss: 0.1370 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1113|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:01:03 || Estimated Time: 1 day, 13:24:45
2023-07-19 23:21:35,542 semantic_segmentation INFO: Iters: 10570/50000 || Lr: 0.016151 || Task Loss: 0.1504 || KD Loss: 0.0592|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1276|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:01:39 || Estimated Time: 1 day, 13:24:18
2023-07-19 23:22:11,319 semantic_segmentation INFO: Iters: 10580/50000 || Lr: 0.016148 || Task Loss: 0.1383 || KD Loss: 0.0501|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1190|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:02:14 || Estimated Time: 1 day, 13:23:50
2023-07-19 23:22:47,170 semantic_segmentation INFO: Iters: 10590/50000 || Lr: 0.016144 || Task Loss: 0.1506 || KD Loss: 0.0439|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:02:50 || Estimated Time: 1 day, 13:23:22
2023-07-19 23:23:22,977 semantic_segmentation INFO: Iters: 10600/50000 || Lr: 0.016140 || Task Loss: 0.1495 || KD Loss: 0.0401|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:03:26 || Estimated Time: 1 day, 13:22:54
2023-07-19 23:23:58,930 semantic_segmentation INFO: Iters: 10610/50000 || Lr: 0.016137 || Task Loss: 0.1549 || KD Loss: 0.0441|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:04:02 || Estimated Time: 1 day, 13:22:27
2023-07-19 23:24:34,253 semantic_segmentation INFO: Iters: 10620/50000 || Lr: 0.016133 || Task Loss: 0.1445 || KD Loss: 0.0552|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1266|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:04:37 || Estimated Time: 1 day, 13:21:57
2023-07-19 23:25:10,376 semantic_segmentation INFO: Iters: 10630/50000 || Lr: 0.016129 || Task Loss: 0.1437 || KD Loss: 0.0430|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1143|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:05:13 || Estimated Time: 1 day, 13:21:30
2023-07-19 23:25:45,987 semantic_segmentation INFO: Iters: 10640/50000 || Lr: 0.016126 || Task Loss: 0.1495 || KD Loss: 0.0535|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:05:49 || Estimated Time: 1 day, 13:21:01
2023-07-19 23:26:21,996 semantic_segmentation INFO: Iters: 10650/50000 || Lr: 0.016122 || Task Loss: 0.1594 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:06:25 || Estimated Time: 1 day, 13:20:34
2023-07-19 23:26:57,456 semantic_segmentation INFO: Iters: 10660/50000 || Lr: 0.016118 || Task Loss: 0.1575 || KD Loss: 0.0635|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1236|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:07:01 || Estimated Time: 1 day, 13:20:04
2023-07-19 23:27:33,437 semantic_segmentation INFO: Iters: 10670/50000 || Lr: 0.016115 || Task Loss: 0.1310 || KD Loss: 0.0482|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1096|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:07:37 || Estimated Time: 1 day, 13:19:37
2023-07-19 23:28:09,436 semantic_segmentation INFO: Iters: 10680/50000 || Lr: 0.016111 || Task Loss: 0.1456 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1237|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:08:13 || Estimated Time: 1 day, 13:19:10
2023-07-19 23:28:45,042 semantic_segmentation INFO: Iters: 10690/50000 || Lr: 0.016107 || Task Loss: 0.1760 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:08:48 || Estimated Time: 1 day, 13:18:41
2023-07-19 23:29:20,781 semantic_segmentation INFO: Iters: 10700/50000 || Lr: 0.016103 || Task Loss: 0.1417 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:09:24 || Estimated Time: 1 day, 13:18:12
2023-07-19 23:29:56,927 semantic_segmentation INFO: Iters: 10710/50000 || Lr: 0.016100 || Task Loss: 0.1642 || KD Loss: 0.0541|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:10:00 || Estimated Time: 1 day, 13:17:45
2023-07-19 23:30:32,546 semantic_segmentation INFO: Iters: 10720/50000 || Lr: 0.016096 || Task Loss: 0.1434 || KD Loss: 0.0486|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1206|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:10:36 || Estimated Time: 1 day, 13:17:16
2023-07-19 23:31:08,427 semantic_segmentation INFO: Iters: 10730/50000 || Lr: 0.016092 || Task Loss: 0.1267 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:11:12 || Estimated Time: 1 day, 13:16:48
2023-07-19 23:31:44,561 semantic_segmentation INFO: Iters: 10740/50000 || Lr: 0.016089 || Task Loss: 0.1304 || KD Loss: 0.0470|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:11:48 || Estimated Time: 1 day, 13:16:21
2023-07-19 23:32:20,190 semantic_segmentation INFO: Iters: 10750/50000 || Lr: 0.016085 || Task Loss: 0.1423 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1118|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:12:23 || Estimated Time: 1 day, 13:15:53
2023-07-19 23:32:56,319 semantic_segmentation INFO: Iters: 10760/50000 || Lr: 0.016081 || Task Loss: 0.1359 || KD Loss: 0.0506|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:12:59 || Estimated Time: 1 day, 13:15:26
2023-07-19 23:33:31,524 semantic_segmentation INFO: Iters: 10770/50000 || Lr: 0.016078 || Task Loss: 0.1743 || KD Loss: 0.0528|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:13:35 || Estimated Time: 1 day, 13:14:55
2023-07-19 23:34:07,439 semantic_segmentation INFO: Iters: 10780/50000 || Lr: 0.016074 || Task Loss: 0.1797 || KD Loss: 0.0476|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:14:11 || Estimated Time: 1 day, 13:14:27
2023-07-19 23:34:43,445 semantic_segmentation INFO: Iters: 10790/50000 || Lr: 0.016070 || Task Loss: 0.1490 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:14:47 || Estimated Time: 1 day, 13:14:00
2023-07-19 23:35:19,197 semantic_segmentation INFO: Iters: 10800/50000 || Lr: 0.016067 || Task Loss: 0.1380 || KD Loss: 0.0406|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:15:22 || Estimated Time: 1 day, 13:13:31
2023-07-19 23:35:55,157 semantic_segmentation INFO: Iters: 10810/50000 || Lr: 0.016063 || Task Loss: 0.1377 || KD Loss: 0.0472|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1226|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:15:58 || Estimated Time: 1 day, 13:13:03
2023-07-19 23:36:31,462 semantic_segmentation INFO: Iters: 10820/50000 || Lr: 0.016059 || Task Loss: 0.1573 || KD Loss: 0.0524|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1183|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:16:35 || Estimated Time: 1 day, 13:12:37
2023-07-19 23:37:07,305 semantic_segmentation INFO: Iters: 10830/50000 || Lr: 0.016056 || Task Loss: 0.1647 || KD Loss: 0.0492|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:17:10 || Estimated Time: 1 day, 13:12:09
2023-07-19 23:37:42,901 semantic_segmentation INFO: Iters: 10840/50000 || Lr: 0.016052 || Task Loss: 0.1388 || KD Loss: 0.0468|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1151|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:17:46 || Estimated Time: 1 day, 13:11:39
2023-07-19 23:38:19,188 semantic_segmentation INFO: Iters: 10850/50000 || Lr: 0.016048 || Task Loss: 0.1650 || KD Loss: 0.0509|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:18:22 || Estimated Time: 1 day, 13:11:13
2023-07-19 23:38:54,838 semantic_segmentation INFO: Iters: 10860/50000 || Lr: 0.016044 || Task Loss: 0.1485 || KD Loss: 0.0451|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1132|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:18:58 || Estimated Time: 1 day, 13:10:44
2023-07-19 23:39:30,503 semantic_segmentation INFO: Iters: 10870/50000 || Lr: 0.016041 || Task Loss: 0.1559 || KD Loss: 0.0467|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1104|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:19:34 || Estimated Time: 1 day, 13:10:15
2023-07-19 23:40:06,788 semantic_segmentation INFO: Iters: 10880/50000 || Lr: 0.016037 || Task Loss: 0.1305 || KD Loss: 0.0454|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:20:10 || Estimated Time: 1 day, 13:09:48
2023-07-19 23:40:42,470 semantic_segmentation INFO: Iters: 10890/50000 || Lr: 0.016033 || Task Loss: 0.1458 || KD Loss: 0.0497|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:20:46 || Estimated Time: 1 day, 13:09:20
2023-07-19 23:41:18,420 semantic_segmentation INFO: Iters: 10900/50000 || Lr: 0.016030 || Task Loss: 0.1187 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1176|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:21:22 || Estimated Time: 1 day, 13:08:52
2023-07-19 23:41:54,177 semantic_segmentation INFO: Iters: 10910/50000 || Lr: 0.016026 || Task Loss: 0.1690 || KD Loss: 0.0442|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:21:57 || Estimated Time: 1 day, 13:08:23
2023-07-19 23:42:30,206 semantic_segmentation INFO: Iters: 10920/50000 || Lr: 0.016022 || Task Loss: 0.1540 || KD Loss: 0.0453|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1114|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:22:33 || Estimated Time: 1 day, 13:07:55
2023-07-19 23:43:06,679 semantic_segmentation INFO: Iters: 10930/50000 || Lr: 0.016019 || Task Loss: 0.1476 || KD Loss: 0.0524|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1155|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:23:10 || Estimated Time: 1 day, 13:07:29
2023-07-19 23:43:41,999 semantic_segmentation INFO: Iters: 10940/50000 || Lr: 0.016015 || Task Loss: 0.1607 || KD Loss: 0.0647|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1243|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:23:45 || Estimated Time: 1 day, 13:06:59
2023-07-19 23:44:18,105 semantic_segmentation INFO: Iters: 10950/50000 || Lr: 0.016011 || Task Loss: 0.1723 || KD Loss: 0.0572|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:24:21 || Estimated Time: 1 day, 13:06:31
2023-07-19 23:44:54,036 semantic_segmentation INFO: Iters: 10960/50000 || Lr: 0.016008 || Task Loss: 0.1374 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:24:57 || Estimated Time: 1 day, 13:06:03
2023-07-19 23:45:29,928 semantic_segmentation INFO: Iters: 10970/50000 || Lr: 0.016004 || Task Loss: 0.1424 || KD Loss: 0.0470|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:25:33 || Estimated Time: 1 day, 13:05:35
2023-07-19 23:46:05,731 semantic_segmentation INFO: Iters: 10980/50000 || Lr: 0.016000 || Task Loss: 0.1430 || KD Loss: 0.0464|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:26:09 || Estimated Time: 1 day, 13:05:07
2023-07-19 23:46:42,003 semantic_segmentation INFO: Iters: 10990/50000 || Lr: 0.015997 || Task Loss: 0.1573 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:26:45 || Estimated Time: 1 day, 13:04:40
2023-07-19 23:47:17,270 semantic_segmentation INFO: Iters: 11000/50000 || Lr: 0.015993 || Task Loss: 0.1393 || KD Loss: 0.0428|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1125|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:27:20 || Estimated Time: 1 day, 13:04:09
2023-07-19 23:47:53,881 semantic_segmentation INFO: Iters: 11010/50000 || Lr: 0.015989 || Task Loss: 0.1469 || KD Loss: 0.0468|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1101|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:27:57 || Estimated Time: 1 day, 13:03:43
2023-07-19 23:48:29,743 semantic_segmentation INFO: Iters: 11020/50000 || Lr: 0.015985 || Task Loss: 0.1507 || KD Loss: 0.0483|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1142|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:28:33 || Estimated Time: 1 day, 13:03:15
2023-07-19 23:49:05,820 semantic_segmentation INFO: Iters: 11030/50000 || Lr: 0.015982 || Task Loss: 0.1506 || KD Loss: 0.0511|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1220|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:29:09 || Estimated Time: 1 day, 13:02:47
2023-07-19 23:49:41,522 semantic_segmentation INFO: Iters: 11040/50000 || Lr: 0.015978 || Task Loss: 0.1318 || KD Loss: 0.0524|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1342|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:29:45 || Estimated Time: 1 day, 13:02:18
2023-07-19 23:50:17,857 semantic_segmentation INFO: Iters: 11050/50000 || Lr: 0.015974 || Task Loss: 0.1483 || KD Loss: 0.0553|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1208|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:30:21 || Estimated Time: 1 day, 13:01:52
2023-07-19 23:50:53,739 semantic_segmentation INFO: Iters: 11060/50000 || Lr: 0.015971 || Task Loss: 0.1371 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1316|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:30:57 || Estimated Time: 1 day, 13:01:23
2023-07-19 23:51:29,737 semantic_segmentation INFO: Iters: 11070/50000 || Lr: 0.015967 || Task Loss: 0.1453 || KD Loss: 0.0464|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1193|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:31:33 || Estimated Time: 1 day, 13:00:55
2023-07-19 23:52:05,767 semantic_segmentation INFO: Iters: 11080/50000 || Lr: 0.015963 || Task Loss: 0.1503 || KD Loss: 0.0622|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1384|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:32:09 || Estimated Time: 1 day, 13:00:28
2023-07-19 23:52:41,991 semantic_segmentation INFO: Iters: 11090/50000 || Lr: 0.015960 || Task Loss: 0.1369 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1175|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:32:45 || Estimated Time: 1 day, 13:00:00
2023-07-19 23:53:18,278 semantic_segmentation INFO: Iters: 11100/50000 || Lr: 0.015956 || Task Loss: 0.1406 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:33:21 || Estimated Time: 1 day, 12:59:33
2023-07-19 23:53:53,992 semantic_segmentation INFO: Iters: 11110/50000 || Lr: 0.015952 || Task Loss: 0.1300 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:33:57 || Estimated Time: 1 day, 12:59:04
2023-07-19 23:54:29,909 semantic_segmentation INFO: Iters: 11120/50000 || Lr: 0.015949 || Task Loss: 0.1581 || KD Loss: 0.0418|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:34:33 || Estimated Time: 1 day, 12:58:36
2023-07-19 23:55:06,228 semantic_segmentation INFO: Iters: 11130/50000 || Lr: 0.015945 || Task Loss: 0.1409 || KD Loss: 0.0498|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:35:09 || Estimated Time: 1 day, 12:58:09
2023-07-19 23:55:42,225 semantic_segmentation INFO: Iters: 11140/50000 || Lr: 0.015941 || Task Loss: 0.1545 || KD Loss: 0.0518|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1106|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:35:45 || Estimated Time: 1 day, 12:57:41
2023-07-19 23:56:18,058 semantic_segmentation INFO: Iters: 11150/50000 || Lr: 0.015937 || Task Loss: 0.1572 || KD Loss: 0.0503|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:36:21 || Estimated Time: 1 day, 12:57:12
2023-07-19 23:56:53,902 semantic_segmentation INFO: Iters: 11160/50000 || Lr: 0.015934 || Task Loss: 0.1378 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:36:57 || Estimated Time: 1 day, 12:56:43
2023-07-19 23:57:29,926 semantic_segmentation INFO: Iters: 11170/50000 || Lr: 0.015930 || Task Loss: 0.1396 || KD Loss: 0.0445|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1136|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:37:33 || Estimated Time: 1 day, 12:56:15
2023-07-19 23:58:05,625 semantic_segmentation INFO: Iters: 11180/50000 || Lr: 0.015926 || Task Loss: 0.1454 || KD Loss: 0.0437|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:38:09 || Estimated Time: 1 day, 12:55:46
2023-07-19 23:58:41,928 semantic_segmentation INFO: Iters: 11190/50000 || Lr: 0.015923 || Task Loss: 0.1468 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:38:45 || Estimated Time: 1 day, 12:55:19
2023-07-19 23:59:17,864 semantic_segmentation INFO: Iters: 11200/50000 || Lr: 0.015919 || Task Loss: 0.1583 || KD Loss: 0.0499|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:39:21 || Estimated Time: 1 day, 12:54:50
2023-07-19 23:59:17,929 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-19 23:59:18,296 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.955, mIoU: 0.667
2023-07-19 23:59:18,327 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.956, mIoU: 0.675
2023-07-19 23:59:18,340 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.956, mIoU: 0.674
2023-07-19 23:59:18,353 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.955, mIoU: 0.670
2023-07-19 23:59:18,366 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.954, mIoU: 0.664
2023-07-19 23:59:18,379 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.953, mIoU: 0.662
2023-07-19 23:59:18,392 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.953, mIoU: 0.663
2023-07-19 23:59:18,405 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.953, mIoU: 0.663
2023-07-19 23:59:18,418 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.954, mIoU: 0.665
2023-07-19 23:59:18,431 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.954, mIoU: 0.666
2023-07-19 23:59:18,444 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.954, mIoU: 0.669
2023-07-19 23:59:18,457 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.952, mIoU: 0.668
2023-07-19 23:59:18,470 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.952, mIoU: 0.668
2023-07-19 23:59:18,483 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.952, mIoU: 0.670
2023-07-19 23:59:18,496 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.953, mIoU: 0.671
2023-07-19 23:59:18,509 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.952, mIoU: 0.671
2023-07-19 23:59:18,523 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.952, mIoU: 0.670
2023-07-19 23:59:18,536 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.952, mIoU: 0.668
2023-07-19 23:59:18,549 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.951, mIoU: 0.667
2023-07-19 23:59:18,563 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.950, mIoU: 0.664
2023-07-19 23:59:18,576 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.950, mIoU: 0.665
2023-07-19 23:59:18,589 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.949, mIoU: 0.663
2023-07-19 23:59:18,602 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.949, mIoU: 0.662
2023-07-19 23:59:18,616 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.948, mIoU: 0.660
2023-07-19 23:59:18,629 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.948, mIoU: 0.660
2023-07-19 23:59:18,642 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.949, mIoU: 0.660
2023-07-19 23:59:18,656 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.949, mIoU: 0.660
2023-07-19 23:59:18,669 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.949, mIoU: 0.661
2023-07-19 23:59:18,682 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.949, mIoU: 0.662
2023-07-19 23:59:18,697 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.949, mIoU: 0.664
2023-07-19 23:59:18,712 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.950, mIoU: 0.666
2023-07-19 23:59:18,726 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.950, mIoU: 0.667
2023-07-19 23:59:18,741 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.950, mIoU: 0.669
2023-07-19 23:59:18,755 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.950, mIoU: 0.670
2023-07-19 23:59:18,770 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.950, mIoU: 0.671
2023-07-19 23:59:18,784 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.949, mIoU: 0.671
2023-07-19 23:59:18,798 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.949, mIoU: 0.672
2023-07-19 23:59:18,812 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.949, mIoU: 0.673
2023-07-19 23:59:18,827 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.949, mIoU: 0.674
2023-07-19 23:59:18,841 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.949, mIoU: 0.676
2023-07-19 23:59:18,855 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.949, mIoU: 0.677
2023-07-19 23:59:18,869 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.949, mIoU: 0.679
2023-07-19 23:59:18,883 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.949, mIoU: 0.680
2023-07-19 23:59:18,899 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.949, mIoU: 0.682
2023-07-19 23:59:18,914 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.948, mIoU: 0.682
2023-07-19 23:59:18,929 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.949, mIoU: 0.684
2023-07-19 23:59:18,944 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.949, mIoU: 0.686
2023-07-19 23:59:18,960 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.949, mIoU: 0.687
2023-07-19 23:59:18,975 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.949, mIoU: 0.688
2023-07-19 23:59:18,990 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.948, mIoU: 0.688
2023-07-19 23:59:19,005 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.947, mIoU: 0.689
2023-07-19 23:59:19,019 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.947, mIoU: 0.689
2023-07-19 23:59:19,034 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.947, mIoU: 0.689
2023-07-19 23:59:19,049 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.946, mIoU: 0.690
2023-07-19 23:59:19,063 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.946, mIoU: 0.690
2023-07-19 23:59:19,078 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.946, mIoU: 0.691
2023-07-19 23:59:19,092 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.945, mIoU: 0.691
2023-07-19 23:59:19,107 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.945, mIoU: 0.691
2023-07-19 23:59:19,122 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.945, mIoU: 0.692
2023-07-19 23:59:19,137 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.944, mIoU: 0.693
2023-07-19 23:59:19,153 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.944, mIoU: 0.693
2023-07-19 23:59:19,168 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.694
2023-07-19 23:59:19,183 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.943, mIoU: 0.695
2023-07-19 23:59:19,197 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.943, mIoU: 0.696
2023-07-19 23:59:19,212 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.943, mIoU: 0.697
2023-07-19 23:59:19,226 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.942, mIoU: 0.697
2023-07-19 23:59:19,241 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.941, mIoU: 0.698
2023-07-19 23:59:19,255 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.941, mIoU: 0.699
2023-07-19 23:59:19,270 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.940, mIoU: 0.700
2023-07-19 23:59:19,284 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.940, mIoU: 0.701
2023-07-19 23:59:19,299 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.939, mIoU: 0.701
2023-07-19 23:59:19,314 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.939, mIoU: 0.701
2023-07-19 23:59:19,330 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.938, mIoU: 0.701
2023-07-19 23:59:19,345 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-19 23:59:19,360 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.938, mIoU: 0.699
2023-07-19 23:59:19,375 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-19 23:59:19,391 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.937, mIoU: 0.698
2023-07-19 23:59:19,405 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-19 23:59:19,420 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.936, mIoU: 0.696
2023-07-19 23:59:19,434 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-19 23:59:19,449 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-19 23:59:19,464 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-19 23:59:19,478 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-19 23:59:19,493 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.933, mIoU: 0.691
2023-07-19 23:59:19,507 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.933, mIoU: 0.690
2023-07-19 23:59:19,522 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-19 23:59:19,536 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.932, mIoU: 0.687
2023-07-19 23:59:19,551 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.932, mIoU: 0.685
2023-07-19 23:59:19,566 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.932, mIoU: 0.683
2023-07-19 23:59:19,580 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.931, mIoU: 0.682
2023-07-19 23:59:19,595 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.931, mIoU: 0.681
2023-07-19 23:59:19,609 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.932, mIoU: 0.681
2023-07-19 23:59:19,624 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.932, mIoU: 0.681
2023-07-19 23:59:19,638 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.932, mIoU: 0.681
2023-07-19 23:59:19,652 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.932, mIoU: 0.681
2023-07-19 23:59:19,666 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.932, mIoU: 0.681
2023-07-19 23:59:19,680 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.933, mIoU: 0.681
2023-07-19 23:59:19,694 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.933, mIoU: 0.681
2023-07-19 23:59:19,709 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.933, mIoU: 0.680
2023-07-19 23:59:19,724 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.933, mIoU: 0.680
2023-07-19 23:59:19,739 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.933, mIoU: 0.679
2023-07-19 23:59:56,095 semantic_segmentation INFO: Iters: 11210/50000 || Lr: 0.015915 || Task Loss: 0.1274 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:39:59 || Estimated Time: 1 day, 12:54:30
2023-07-20 00:00:31,904 semantic_segmentation INFO: Iters: 11220/50000 || Lr: 0.015912 || Task Loss: 0.1506 || KD Loss: 0.0506|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1246|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:40:35 || Estimated Time: 1 day, 12:54:01
2023-07-20 00:01:07,681 semantic_segmentation INFO: Iters: 11230/50000 || Lr: 0.015908 || Task Loss: 0.1673 || KD Loss: 0.0512|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:41:11 || Estimated Time: 1 day, 12:53:32
2023-07-20 00:01:43,670 semantic_segmentation INFO: Iters: 11240/50000 || Lr: 0.015904 || Task Loss: 0.1390 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:41:47 || Estimated Time: 1 day, 12:53:04
2023-07-20 00:02:20,031 semantic_segmentation INFO: Iters: 11250/50000 || Lr: 0.015901 || Task Loss: 0.1406 || KD Loss: 0.0463|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:42:23 || Estimated Time: 1 day, 12:52:37
2023-07-20 00:02:55,780 semantic_segmentation INFO: Iters: 11260/50000 || Lr: 0.015897 || Task Loss: 0.1533 || KD Loss: 0.0528|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:42:59 || Estimated Time: 1 day, 12:52:08
2023-07-20 00:03:32,007 semantic_segmentation INFO: Iters: 11270/50000 || Lr: 0.015893 || Task Loss: 0.1500 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:43:35 || Estimated Time: 1 day, 12:51:40
2023-07-20 00:04:07,761 semantic_segmentation INFO: Iters: 11280/50000 || Lr: 0.015889 || Task Loss: 0.1217 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:44:11 || Estimated Time: 1 day, 12:51:11
2023-07-20 00:04:43,893 semantic_segmentation INFO: Iters: 11290/50000 || Lr: 0.015886 || Task Loss: 0.1187 || KD Loss: 0.0489|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1218|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:44:47 || Estimated Time: 1 day, 12:50:43
2023-07-20 00:05:20,049 semantic_segmentation INFO: Iters: 11300/50000 || Lr: 0.015882 || Task Loss: 0.1404 || KD Loss: 0.0447|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:45:23 || Estimated Time: 1 day, 12:50:15
2023-07-20 00:05:56,202 semantic_segmentation INFO: Iters: 11310/50000 || Lr: 0.015878 || Task Loss: 0.1608 || KD Loss: 0.0490|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1073|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:45:59 || Estimated Time: 1 day, 12:49:47
2023-07-20 00:06:31,876 semantic_segmentation INFO: Iters: 11320/50000 || Lr: 0.015875 || Task Loss: 0.1403 || KD Loss: 0.0458|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:46:35 || Estimated Time: 1 day, 12:49:18
2023-07-20 00:07:08,268 semantic_segmentation INFO: Iters: 11330/50000 || Lr: 0.015871 || Task Loss: 0.1531 || KD Loss: 0.0491|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1202|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:47:11 || Estimated Time: 1 day, 12:48:51
2023-07-20 00:07:44,372 semantic_segmentation INFO: Iters: 11340/50000 || Lr: 0.015867 || Task Loss: 0.1340 || KD Loss: 0.0522|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1173|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:47:47 || Estimated Time: 1 day, 12:48:23
2023-07-20 00:08:20,132 semantic_segmentation INFO: Iters: 11350/50000 || Lr: 0.015864 || Task Loss: 0.1474 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:48:23 || Estimated Time: 1 day, 12:47:54
2023-07-20 00:08:56,220 semantic_segmentation INFO: Iters: 11360/50000 || Lr: 0.015860 || Task Loss: 0.1608 || KD Loss: 0.0406|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:48:59 || Estimated Time: 1 day, 12:47:25
2023-07-20 00:09:32,790 semantic_segmentation INFO: Iters: 11370/50000 || Lr: 0.015856 || Task Loss: 0.1448 || KD Loss: 0.0514|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1220|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:49:36 || Estimated Time: 1 day, 12:46:59
2023-07-20 00:10:09,036 semantic_segmentation INFO: Iters: 11380/50000 || Lr: 0.015853 || Task Loss: 0.1466 || KD Loss: 0.0458|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:50:12 || Estimated Time: 1 day, 12:46:31
2023-07-20 00:10:45,179 semantic_segmentation INFO: Iters: 11390/50000 || Lr: 0.015849 || Task Loss: 0.1501 || KD Loss: 0.0456|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:50:48 || Estimated Time: 1 day, 12:46:03
2023-07-20 00:11:20,988 semantic_segmentation INFO: Iters: 11400/50000 || Lr: 0.015845 || Task Loss: 0.1544 || KD Loss: 0.0435|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:51:24 || Estimated Time: 1 day, 12:45:34
2023-07-20 00:11:57,001 semantic_segmentation INFO: Iters: 11410/50000 || Lr: 0.015841 || Task Loss: 0.1551 || KD Loss: 0.0544|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1218|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:52:00 || Estimated Time: 1 day, 12:45:06
2023-07-20 00:12:33,531 semantic_segmentation INFO: Iters: 11420/50000 || Lr: 0.015838 || Task Loss: 0.1387 || KD Loss: 0.0477|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1112|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:52:37 || Estimated Time: 1 day, 12:44:39
2023-07-20 00:13:09,630 semantic_segmentation INFO: Iters: 11430/50000 || Lr: 0.015834 || Task Loss: 0.1495 || KD Loss: 0.0498|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:53:13 || Estimated Time: 1 day, 12:44:11
2023-07-20 00:13:46,101 semantic_segmentation INFO: Iters: 11440/50000 || Lr: 0.015830 || Task Loss: 0.1623 || KD Loss: 0.0483|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:53:49 || Estimated Time: 1 day, 12:43:44
2023-07-20 00:14:21,866 semantic_segmentation INFO: Iters: 11450/50000 || Lr: 0.015827 || Task Loss: 0.1316 || KD Loss: 0.0419|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:54:25 || Estimated Time: 1 day, 12:43:15
2023-07-20 00:14:58,407 semantic_segmentation INFO: Iters: 11460/50000 || Lr: 0.015823 || Task Loss: 0.1281 || KD Loss: 0.0467|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1197|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:55:02 || Estimated Time: 1 day, 12:42:48
2023-07-20 00:15:34,129 semantic_segmentation INFO: Iters: 11470/50000 || Lr: 0.015819 || Task Loss: 0.1328 || KD Loss: 0.0463|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1119|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:55:37 || Estimated Time: 1 day, 12:42:19
2023-07-20 00:16:10,424 semantic_segmentation INFO: Iters: 11480/50000 || Lr: 0.015816 || Task Loss: 0.1464 || KD Loss: 0.0468|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1149|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:56:14 || Estimated Time: 1 day, 12:41:51
2023-07-20 00:16:46,271 semantic_segmentation INFO: Iters: 11490/50000 || Lr: 0.015812 || Task Loss: 0.1592 || KD Loss: 0.0492|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:56:49 || Estimated Time: 1 day, 12:41:22
2023-07-20 00:17:22,522 semantic_segmentation INFO: Iters: 11500/50000 || Lr: 0.015808 || Task Loss: 0.1388 || KD Loss: 0.0455|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:57:26 || Estimated Time: 1 day, 12:40:54
2023-07-20 00:17:58,733 semantic_segmentation INFO: Iters: 11510/50000 || Lr: 0.015804 || Task Loss: 0.1451 || KD Loss: 0.0453|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1147|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:58:02 || Estimated Time: 1 day, 12:40:26
2023-07-20 00:18:35,287 semantic_segmentation INFO: Iters: 11520/50000 || Lr: 0.015801 || Task Loss: 0.1394 || KD Loss: 0.0431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1132|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:58:38 || Estimated Time: 1 day, 12:39:59
2023-07-20 00:19:11,272 semantic_segmentation INFO: Iters: 11530/50000 || Lr: 0.015797 || Task Loss: 0.1562 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:59:14 || Estimated Time: 1 day, 12:39:31
2023-07-20 00:19:47,919 semantic_segmentation INFO: Iters: 11540/50000 || Lr: 0.015793 || Task Loss: 0.1543 || KD Loss: 0.0428|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 10:59:51 || Estimated Time: 1 day, 12:39:04
2023-07-20 00:20:24,350 semantic_segmentation INFO: Iters: 11550/50000 || Lr: 0.015790 || Task Loss: 0.1449 || KD Loss: 0.0468|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:00:27 || Estimated Time: 1 day, 12:38:37
2023-07-20 00:21:00,029 semantic_segmentation INFO: Iters: 11560/50000 || Lr: 0.015786 || Task Loss: 0.1269 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:01:03 || Estimated Time: 1 day, 12:38:07
2023-07-20 00:21:36,063 semantic_segmentation INFO: Iters: 11570/50000 || Lr: 0.015782 || Task Loss: 0.1502 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:01:39 || Estimated Time: 1 day, 12:37:39
2023-07-20 00:22:12,572 semantic_segmentation INFO: Iters: 11580/50000 || Lr: 0.015779 || Task Loss: 0.1602 || KD Loss: 0.0470|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:02:16 || Estimated Time: 1 day, 12:37:12
2023-07-20 00:22:49,175 semantic_segmentation INFO: Iters: 11590/50000 || Lr: 0.015775 || Task Loss: 0.1335 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1200|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:02:52 || Estimated Time: 1 day, 12:36:45
2023-07-20 00:23:25,440 semantic_segmentation INFO: Iters: 11600/50000 || Lr: 0.015771 || Task Loss: 0.1529 || KD Loss: 0.0545|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1185|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:03:29 || Estimated Time: 1 day, 12:36:17
2023-07-20 00:24:01,578 semantic_segmentation INFO: Iters: 11610/50000 || Lr: 0.015768 || Task Loss: 0.1125 || KD Loss: 0.0425|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1103|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:04:05 || Estimated Time: 1 day, 12:35:49
2023-07-20 00:24:37,933 semantic_segmentation INFO: Iters: 11620/50000 || Lr: 0.015764 || Task Loss: 0.1382 || KD Loss: 0.0437|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:04:41 || Estimated Time: 1 day, 12:35:21
2023-07-20 00:25:13,913 semantic_segmentation INFO: Iters: 11630/50000 || Lr: 0.015760 || Task Loss: 0.1248 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:05:17 || Estimated Time: 1 day, 12:34:52
2023-07-20 00:25:50,519 semantic_segmentation INFO: Iters: 11640/50000 || Lr: 0.015756 || Task Loss: 0.1407 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1096|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:05:54 || Estimated Time: 1 day, 12:34:26
2023-07-20 00:26:26,558 semantic_segmentation INFO: Iters: 11650/50000 || Lr: 0.015753 || Task Loss: 0.1531 || KD Loss: 0.0428|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:06:30 || Estimated Time: 1 day, 12:33:57
2023-07-20 00:27:02,701 semantic_segmentation INFO: Iters: 11660/50000 || Lr: 0.015749 || Task Loss: 0.1728 || KD Loss: 0.0481|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:07:06 || Estimated Time: 1 day, 12:33:28
2023-07-20 00:27:38,941 semantic_segmentation INFO: Iters: 11670/50000 || Lr: 0.015745 || Task Loss: 0.1480 || KD Loss: 0.0505|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1257|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:07:42 || Estimated Time: 1 day, 12:33:00
2023-07-20 00:28:15,300 semantic_segmentation INFO: Iters: 11680/50000 || Lr: 0.015742 || Task Loss: 0.1436 || KD Loss: 0.0480|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:08:18 || Estimated Time: 1 day, 12:32:33
2023-07-20 00:28:51,369 semantic_segmentation INFO: Iters: 11690/50000 || Lr: 0.015738 || Task Loss: 0.1591 || KD Loss: 0.0538|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1239|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:08:54 || Estimated Time: 1 day, 12:32:04
2023-07-20 00:29:27,431 semantic_segmentation INFO: Iters: 11700/50000 || Lr: 0.015734 || Task Loss: 0.1614 || KD Loss: 0.0580|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1160|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:09:31 || Estimated Time: 1 day, 12:31:35
2023-07-20 00:30:04,107 semantic_segmentation INFO: Iters: 11710/50000 || Lr: 0.015731 || Task Loss: 0.1258 || KD Loss: 0.0526|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1331|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:10:07 || Estimated Time: 1 day, 12:31:09
2023-07-20 00:30:40,230 semantic_segmentation INFO: Iters: 11720/50000 || Lr: 0.015727 || Task Loss: 0.1539 || KD Loss: 0.0460|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:10:43 || Estimated Time: 1 day, 12:30:40
2023-07-20 00:31:16,224 semantic_segmentation INFO: Iters: 11730/50000 || Lr: 0.015723 || Task Loss: 0.1427 || KD Loss: 0.0466|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:11:19 || Estimated Time: 1 day, 12:30:12
2023-07-20 00:31:52,480 semantic_segmentation INFO: Iters: 11740/50000 || Lr: 0.015719 || Task Loss: 0.1394 || KD Loss: 0.0479|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1220|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:11:56 || Estimated Time: 1 day, 12:29:43
2023-07-20 00:32:28,891 semantic_segmentation INFO: Iters: 11750/50000 || Lr: 0.015716 || Task Loss: 0.1434 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:12:32 || Estimated Time: 1 day, 12:29:16
2023-07-20 00:33:04,973 semantic_segmentation INFO: Iters: 11760/50000 || Lr: 0.015712 || Task Loss: 0.1581 || KD Loss: 0.0498|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:13:08 || Estimated Time: 1 day, 12:28:47
2023-07-20 00:33:41,077 semantic_segmentation INFO: Iters: 11770/50000 || Lr: 0.015708 || Task Loss: 0.1480 || KD Loss: 0.0463|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:13:44 || Estimated Time: 1 day, 12:28:18
2023-07-20 00:34:17,602 semantic_segmentation INFO: Iters: 11780/50000 || Lr: 0.015705 || Task Loss: 0.1424 || KD Loss: 0.0564|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1273|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:14:21 || Estimated Time: 1 day, 12:27:51
2023-07-20 00:34:53,632 semantic_segmentation INFO: Iters: 11790/50000 || Lr: 0.015701 || Task Loss: 0.1322 || KD Loss: 0.0438|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:14:57 || Estimated Time: 1 day, 12:27:22
2023-07-20 00:35:29,530 semantic_segmentation INFO: Iters: 11800/50000 || Lr: 0.015697 || Task Loss: 0.1511 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:15:33 || Estimated Time: 1 day, 12:26:53
2023-07-20 00:36:06,381 semantic_segmentation INFO: Iters: 11810/50000 || Lr: 0.015694 || Task Loss: 0.1629 || KD Loss: 0.0495|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1172|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:16:09 || Estimated Time: 1 day, 12:26:27
2023-07-20 00:36:42,549 semantic_segmentation INFO: Iters: 11820/50000 || Lr: 0.015690 || Task Loss: 0.1863 || KD Loss: 0.0487|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:16:46 || Estimated Time: 1 day, 12:25:58
2023-07-20 00:37:18,762 semantic_segmentation INFO: Iters: 11830/50000 || Lr: 0.015686 || Task Loss: 0.1507 || KD Loss: 0.0497|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:17:22 || Estimated Time: 1 day, 12:25:30
2023-07-20 00:37:55,013 semantic_segmentation INFO: Iters: 11840/50000 || Lr: 0.015682 || Task Loss: 0.1482 || KD Loss: 0.0487|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:17:58 || Estimated Time: 1 day, 12:25:02
2023-07-20 00:38:31,350 semantic_segmentation INFO: Iters: 11850/50000 || Lr: 0.015679 || Task Loss: 0.1603 || KD Loss: 0.0478|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:18:34 || Estimated Time: 1 day, 12:24:34
2023-07-20 00:39:07,285 semantic_segmentation INFO: Iters: 11860/50000 || Lr: 0.015675 || Task Loss: 0.1544 || KD Loss: 0.0549|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1206|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:19:10 || Estimated Time: 1 day, 12:24:04
2023-07-20 00:39:43,924 semantic_segmentation INFO: Iters: 11870/50000 || Lr: 0.015671 || Task Loss: 0.1454 || KD Loss: 0.0470|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:19:47 || Estimated Time: 1 day, 12:23:37
2023-07-20 00:40:20,366 semantic_segmentation INFO: Iters: 11880/50000 || Lr: 0.015668 || Task Loss: 0.1231 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:20:23 || Estimated Time: 1 day, 12:23:09
2023-07-20 00:40:56,363 semantic_segmentation INFO: Iters: 11890/50000 || Lr: 0.015664 || Task Loss: 0.1828 || KD Loss: 0.0434|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0846|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:20:59 || Estimated Time: 1 day, 12:22:41
2023-07-20 00:41:32,676 semantic_segmentation INFO: Iters: 11900/50000 || Lr: 0.015660 || Task Loss: 0.1432 || KD Loss: 0.0460|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1094|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:21:36 || Estimated Time: 1 day, 12:22:12
2023-07-20 00:42:09,191 semantic_segmentation INFO: Iters: 11910/50000 || Lr: 0.015657 || Task Loss: 0.1367 || KD Loss: 0.0460|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:22:12 || Estimated Time: 1 day, 12:21:45
2023-07-20 00:42:45,628 semantic_segmentation INFO: Iters: 11920/50000 || Lr: 0.015653 || Task Loss: 0.1414 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:22:49 || Estimated Time: 1 day, 12:21:17
2023-07-20 00:43:21,769 semantic_segmentation INFO: Iters: 11930/50000 || Lr: 0.015649 || Task Loss: 0.1264 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:23:25 || Estimated Time: 1 day, 12:20:48
2023-07-20 00:43:58,497 semantic_segmentation INFO: Iters: 11940/50000 || Lr: 0.015645 || Task Loss: 0.1500 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:24:02 || Estimated Time: 1 day, 12:20:22
2023-07-20 00:44:34,660 semantic_segmentation INFO: Iters: 11950/50000 || Lr: 0.015642 || Task Loss: 0.1227 || KD Loss: 0.0524|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1194|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:24:38 || Estimated Time: 1 day, 12:19:53
2023-07-20 00:45:11,120 semantic_segmentation INFO: Iters: 11960/50000 || Lr: 0.015638 || Task Loss: 0.1583 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:25:14 || Estimated Time: 1 day, 12:19:25
2023-07-20 00:45:47,494 semantic_segmentation INFO: Iters: 11970/50000 || Lr: 0.015634 || Task Loss: 0.1520 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:25:51 || Estimated Time: 1 day, 12:18:57
2023-07-20 00:46:23,731 semantic_segmentation INFO: Iters: 11980/50000 || Lr: 0.015631 || Task Loss: 0.1448 || KD Loss: 0.0443|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:26:27 || Estimated Time: 1 day, 12:18:29
2023-07-20 00:47:00,301 semantic_segmentation INFO: Iters: 11990/50000 || Lr: 0.015627 || Task Loss: 0.1623 || KD Loss: 0.0498|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:27:03 || Estimated Time: 1 day, 12:18:01
2023-07-20 00:47:36,792 semantic_segmentation INFO: Iters: 12000/50000 || Lr: 0.015623 || Task Loss: 0.1448 || KD Loss: 0.0418|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:27:40 || Estimated Time: 1 day, 12:17:34
2023-07-20 00:47:36,858 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 00:47:37,241 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-20 00:47:37,300 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-20 00:47:37,314 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-20 00:47:37,327 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-20 00:47:37,340 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 00:47:37,354 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 00:47:37,367 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.954, mIoU: 0.679
2023-07-20 00:47:37,380 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.954, mIoU: 0.679
2023-07-20 00:47:37,394 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.954, mIoU: 0.679
2023-07-20 00:47:37,408 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 00:47:37,422 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 00:47:37,436 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-20 00:47:37,449 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 00:47:37,463 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 00:47:37,477 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 00:47:37,491 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 00:47:37,505 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 00:47:37,519 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 00:47:37,533 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.951, mIoU: 0.679
2023-07-20 00:47:37,547 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.950, mIoU: 0.676
2023-07-20 00:47:37,561 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.950, mIoU: 0.676
2023-07-20 00:47:37,574 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-20 00:47:37,589 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.949, mIoU: 0.673
2023-07-20 00:47:37,604 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.948, mIoU: 0.670
2023-07-20 00:47:37,620 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.948, mIoU: 0.669
2023-07-20 00:47:37,635 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.948, mIoU: 0.669
2023-07-20 00:47:37,650 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.949, mIoU: 0.669
2023-07-20 00:47:37,665 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.948, mIoU: 0.669
2023-07-20 00:47:37,680 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.949, mIoU: 0.669
2023-07-20 00:47:37,694 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.949, mIoU: 0.670
2023-07-20 00:47:37,709 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.949, mIoU: 0.671
2023-07-20 00:47:37,724 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.949, mIoU: 0.672
2023-07-20 00:47:37,738 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.949, mIoU: 0.673
2023-07-20 00:47:37,753 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.949, mIoU: 0.674
2023-07-20 00:47:37,767 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-20 00:47:37,782 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.949, mIoU: 0.674
2023-07-20 00:47:37,796 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.948, mIoU: 0.674
2023-07-20 00:47:37,811 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.948, mIoU: 0.675
2023-07-20 00:47:37,826 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.948, mIoU: 0.676
2023-07-20 00:47:37,841 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.948, mIoU: 0.677
2023-07-20 00:47:37,856 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.948, mIoU: 0.678
2023-07-20 00:47:37,871 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.948, mIoU: 0.680
2023-07-20 00:47:37,886 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.948, mIoU: 0.681
2023-07-20 00:47:37,900 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.948, mIoU: 0.683
2023-07-20 00:47:37,915 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.948, mIoU: 0.684
2023-07-20 00:47:37,929 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.948, mIoU: 0.685
2023-07-20 00:47:37,943 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.948, mIoU: 0.687
2023-07-20 00:47:37,958 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.948, mIoU: 0.688
2023-07-20 00:47:37,972 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.948, mIoU: 0.689
2023-07-20 00:47:37,986 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.947, mIoU: 0.689
2023-07-20 00:47:38,001 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.946, mIoU: 0.690
2023-07-20 00:47:38,015 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.946, mIoU: 0.690
2023-07-20 00:47:38,029 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.945, mIoU: 0.690
2023-07-20 00:47:38,043 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.945, mIoU: 0.690
2023-07-20 00:47:38,058 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.945, mIoU: 0.691
2023-07-20 00:47:38,072 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.944, mIoU: 0.691
2023-07-20 00:47:38,086 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.944, mIoU: 0.691
2023-07-20 00:47:38,101 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.944, mIoU: 0.692
2023-07-20 00:47:38,115 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.943, mIoU: 0.692
2023-07-20 00:47:38,129 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.943, mIoU: 0.693
2023-07-20 00:47:38,144 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.943, mIoU: 0.694
2023-07-20 00:47:38,158 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.942, mIoU: 0.694
2023-07-20 00:47:38,172 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.942, mIoU: 0.695
2023-07-20 00:47:38,187 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.941, mIoU: 0.696
2023-07-20 00:47:38,201 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.941, mIoU: 0.697
2023-07-20 00:47:38,215 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.940, mIoU: 0.697
2023-07-20 00:47:38,230 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.940, mIoU: 0.697
2023-07-20 00:47:38,244 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.939, mIoU: 0.698
2023-07-20 00:47:38,258 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.939, mIoU: 0.699
2023-07-20 00:47:38,273 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-20 00:47:38,287 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.938, mIoU: 0.701
2023-07-20 00:47:38,301 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 00:47:38,316 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 00:47:38,330 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 00:47:38,345 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 00:47:38,359 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 00:47:38,373 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 00:47:38,388 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 00:47:38,402 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 00:47:38,416 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-20 00:47:38,431 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.933, mIoU: 0.694
2023-07-20 00:47:38,445 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 00:47:38,459 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.932, mIoU: 0.691
2023-07-20 00:47:38,473 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 00:47:38,488 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.931, mIoU: 0.688
2023-07-20 00:47:38,502 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.931, mIoU: 0.687
2023-07-20 00:47:38,516 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.931, mIoU: 0.685
2023-07-20 00:47:38,530 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.931, mIoU: 0.682
2023-07-20 00:47:38,544 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.930, mIoU: 0.680
2023-07-20 00:47:38,559 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.930, mIoU: 0.679
2023-07-20 00:47:38,573 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.930, mIoU: 0.678
2023-07-20 00:47:38,587 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.930, mIoU: 0.678
2023-07-20 00:47:38,601 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.931, mIoU: 0.678
2023-07-20 00:47:38,615 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.931, mIoU: 0.678
2023-07-20 00:47:38,629 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.931, mIoU: 0.678
2023-07-20 00:47:38,643 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.931, mIoU: 0.678
2023-07-20 00:47:38,657 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.931, mIoU: 0.678
2023-07-20 00:47:38,672 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.932, mIoU: 0.678
2023-07-20 00:47:38,686 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.932, mIoU: 0.677
2023-07-20 00:47:38,700 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.932, mIoU: 0.677
2023-07-20 00:47:38,714 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.932, mIoU: 0.676
2023-07-20 00:48:15,433 semantic_segmentation INFO: Iters: 12010/50000 || Lr: 0.015620 || Task Loss: 0.1530 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:28:19 || Estimated Time: 1 day, 12:17:13
2023-07-20 00:48:51,622 semantic_segmentation INFO: Iters: 12020/50000 || Lr: 0.015616 || Task Loss: 0.1295 || KD Loss: 0.0416|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1098|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:28:55 || Estimated Time: 1 day, 12:16:44
2023-07-20 00:49:27,472 semantic_segmentation INFO: Iters: 12030/50000 || Lr: 0.015612 || Task Loss: 0.1533 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:29:31 || Estimated Time: 1 day, 12:16:14
2023-07-20 00:50:04,027 semantic_segmentation INFO: Iters: 12040/50000 || Lr: 0.015608 || Task Loss: 0.1353 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:30:07 || Estimated Time: 1 day, 12:15:47
2023-07-20 00:50:40,554 semantic_segmentation INFO: Iters: 12050/50000 || Lr: 0.015605 || Task Loss: 0.1458 || KD Loss: 0.0447|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:30:44 || Estimated Time: 1 day, 12:15:19
2023-07-20 00:51:16,743 semantic_segmentation INFO: Iters: 12060/50000 || Lr: 0.015601 || Task Loss: 0.1146 || KD Loss: 0.0426|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:31:20 || Estimated Time: 1 day, 12:14:50
2023-07-20 00:51:53,039 semantic_segmentation INFO: Iters: 12070/50000 || Lr: 0.015597 || Task Loss: 0.1400 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1260|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:31:56 || Estimated Time: 1 day, 12:14:22
2023-07-20 00:52:29,742 semantic_segmentation INFO: Iters: 12080/50000 || Lr: 0.015594 || Task Loss: 0.1490 || KD Loss: 0.0484|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1184|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:32:33 || Estimated Time: 1 day, 12:13:55
2023-07-20 00:53:06,055 semantic_segmentation INFO: Iters: 12090/50000 || Lr: 0.015590 || Task Loss: 0.1376 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:33:09 || Estimated Time: 1 day, 12:13:26
2023-07-20 00:53:42,817 semantic_segmentation INFO: Iters: 12100/50000 || Lr: 0.015586 || Task Loss: 0.1423 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:33:46 || Estimated Time: 1 day, 12:12:59
2023-07-20 00:54:19,287 semantic_segmentation INFO: Iters: 12110/50000 || Lr: 0.015583 || Task Loss: 0.1597 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:34:22 || Estimated Time: 1 day, 12:12:31
2023-07-20 00:54:55,550 semantic_segmentation INFO: Iters: 12120/50000 || Lr: 0.015579 || Task Loss: 0.1470 || KD Loss: 0.0486|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:34:59 || Estimated Time: 1 day, 12:12:03
2023-07-20 00:55:32,362 semantic_segmentation INFO: Iters: 12130/50000 || Lr: 0.015575 || Task Loss: 0.1694 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:35:35 || Estimated Time: 1 day, 12:11:36
2023-07-20 00:56:08,539 semantic_segmentation INFO: Iters: 12140/50000 || Lr: 0.015571 || Task Loss: 0.1313 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:36:12 || Estimated Time: 1 day, 12:11:07
2023-07-20 00:56:45,249 semantic_segmentation INFO: Iters: 12150/50000 || Lr: 0.015568 || Task Loss: 0.1220 || KD Loss: 0.0429|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:36:48 || Estimated Time: 1 day, 12:10:40
2023-07-20 00:57:21,686 semantic_segmentation INFO: Iters: 12160/50000 || Lr: 0.015564 || Task Loss: 0.1629 || KD Loss: 0.0443|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:37:25 || Estimated Time: 1 day, 12:10:12
2023-07-20 00:57:58,626 semantic_segmentation INFO: Iters: 12170/50000 || Lr: 0.015560 || Task Loss: 0.1453 || KD Loss: 0.0532|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1266|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:38:02 || Estimated Time: 1 day, 12:09:45
2023-07-20 00:58:34,557 semantic_segmentation INFO: Iters: 12180/50000 || Lr: 0.015557 || Task Loss: 0.1377 || KD Loss: 0.0419|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:38:38 || Estimated Time: 1 day, 12:09:15
2023-07-20 00:59:11,074 semantic_segmentation INFO: Iters: 12190/50000 || Lr: 0.015553 || Task Loss: 0.1563 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:39:14 || Estimated Time: 1 day, 12:08:47
2023-07-20 00:59:47,282 semantic_segmentation INFO: Iters: 12200/50000 || Lr: 0.015549 || Task Loss: 0.1700 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0827|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:39:50 || Estimated Time: 1 day, 12:08:19
2023-07-20 01:00:23,578 semantic_segmentation INFO: Iters: 12210/50000 || Lr: 0.015546 || Task Loss: 0.1600 || KD Loss: 0.0434|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:40:27 || Estimated Time: 1 day, 12:07:50
2023-07-20 01:01:00,267 semantic_segmentation INFO: Iters: 12220/50000 || Lr: 0.015542 || Task Loss: 0.1153 || KD Loss: 0.0431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1151|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:41:03 || Estimated Time: 1 day, 12:07:22
2023-07-20 01:01:36,584 semantic_segmentation INFO: Iters: 12230/50000 || Lr: 0.015538 || Task Loss: 0.1382 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:41:40 || Estimated Time: 1 day, 12:06:54
2023-07-20 01:02:13,361 semantic_segmentation INFO: Iters: 12240/50000 || Lr: 0.015534 || Task Loss: 0.1274 || KD Loss: 0.0477|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1197|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:42:16 || Estimated Time: 1 day, 12:06:27
2023-07-20 01:02:49,379 semantic_segmentation INFO: Iters: 12250/50000 || Lr: 0.015531 || Task Loss: 0.1573 || KD Loss: 0.0506|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:42:52 || Estimated Time: 1 day, 12:05:57
2023-07-20 01:03:25,945 semantic_segmentation INFO: Iters: 12260/50000 || Lr: 0.015527 || Task Loss: 0.1540 || KD Loss: 0.0480|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:43:29 || Estimated Time: 1 day, 12:05:29
2023-07-20 01:04:03,039 semantic_segmentation INFO: Iters: 12270/50000 || Lr: 0.015523 || Task Loss: 0.1589 || KD Loss: 0.0439|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:44:06 || Estimated Time: 1 day, 12:05:03
2023-07-20 01:04:39,450 semantic_segmentation INFO: Iters: 12280/50000 || Lr: 0.015520 || Task Loss: 0.1232 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1130|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:44:43 || Estimated Time: 1 day, 12:04:35
2023-07-20 01:05:15,636 semantic_segmentation INFO: Iters: 12290/50000 || Lr: 0.015516 || Task Loss: 0.1476 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:45:19 || Estimated Time: 1 day, 12:04:06
2023-07-20 01:05:51,905 semantic_segmentation INFO: Iters: 12300/50000 || Lr: 0.015512 || Task Loss: 0.1362 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:45:55 || Estimated Time: 1 day, 12:03:37
2023-07-20 01:06:28,871 semantic_segmentation INFO: Iters: 12310/50000 || Lr: 0.015509 || Task Loss: 0.1308 || KD Loss: 0.0482|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1286|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:46:32 || Estimated Time: 1 day, 12:03:10
2023-07-20 01:07:05,269 semantic_segmentation INFO: Iters: 12320/50000 || Lr: 0.015505 || Task Loss: 0.1368 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:47:08 || Estimated Time: 1 day, 12:02:42
2023-07-20 01:07:41,663 semantic_segmentation INFO: Iters: 12330/50000 || Lr: 0.015501 || Task Loss: 0.1461 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:47:45 || Estimated Time: 1 day, 12:02:14
2023-07-20 01:08:18,324 semantic_segmentation INFO: Iters: 12340/50000 || Lr: 0.015497 || Task Loss: 0.1221 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1231|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:48:21 || Estimated Time: 1 day, 12:01:46
2023-07-20 01:08:54,885 semantic_segmentation INFO: Iters: 12350/50000 || Lr: 0.015494 || Task Loss: 0.1857 || KD Loss: 0.0548|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0856|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:48:58 || Estimated Time: 1 day, 12:01:18
2023-07-20 01:09:31,019 semantic_segmentation INFO: Iters: 12360/50000 || Lr: 0.015490 || Task Loss: 0.1327 || KD Loss: 0.0458|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1161|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:49:34 || Estimated Time: 1 day, 12:00:49
2023-07-20 01:10:07,674 semantic_segmentation INFO: Iters: 12370/50000 || Lr: 0.015486 || Task Loss: 0.1512 || KD Loss: 0.0460|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:50:11 || Estimated Time: 1 day, 12:00:21
2023-07-20 01:10:44,142 semantic_segmentation INFO: Iters: 12380/50000 || Lr: 0.015483 || Task Loss: 0.1603 || KD Loss: 0.0439|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:50:47 || Estimated Time: 1 day, 11:59:52
2023-07-20 01:11:20,230 semantic_segmentation INFO: Iters: 12390/50000 || Lr: 0.015479 || Task Loss: 0.1464 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:51:23 || Estimated Time: 1 day, 11:59:23
2023-07-20 01:11:56,847 semantic_segmentation INFO: Iters: 12400/50000 || Lr: 0.015475 || Task Loss: 0.1553 || KD Loss: 0.0532|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1256|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:52:00 || Estimated Time: 1 day, 11:58:55
2023-07-20 01:12:33,748 semantic_segmentation INFO: Iters: 12410/50000 || Lr: 0.015472 || Task Loss: 0.1446 || KD Loss: 0.0486|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1164|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:52:37 || Estimated Time: 1 day, 11:58:28
2023-07-20 01:13:09,895 semantic_segmentation INFO: Iters: 12420/50000 || Lr: 0.015468 || Task Loss: 0.1417 || KD Loss: 0.0427|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:53:13 || Estimated Time: 1 day, 11:57:59
2023-07-20 01:13:46,884 semantic_segmentation INFO: Iters: 12430/50000 || Lr: 0.015464 || Task Loss: 0.1388 || KD Loss: 0.0414|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:53:50 || Estimated Time: 1 day, 11:57:32
2023-07-20 01:14:23,315 semantic_segmentation INFO: Iters: 12440/50000 || Lr: 0.015460 || Task Loss: 0.1676 || KD Loss: 0.0446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0914|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:54:26 || Estimated Time: 1 day, 11:57:03
2023-07-20 01:14:59,920 semantic_segmentation INFO: Iters: 12450/50000 || Lr: 0.015457 || Task Loss: 0.1455 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:55:03 || Estimated Time: 1 day, 11:56:35
2023-07-20 01:15:36,136 semantic_segmentation INFO: Iters: 12460/50000 || Lr: 0.015453 || Task Loss: 0.1231 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:55:39 || Estimated Time: 1 day, 11:56:06
2023-07-20 01:16:12,375 semantic_segmentation INFO: Iters: 12470/50000 || Lr: 0.015449 || Task Loss: 0.1355 || KD Loss: 0.0439|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:56:15 || Estimated Time: 1 day, 11:55:37
2023-07-20 01:16:48,794 semantic_segmentation INFO: Iters: 12480/50000 || Lr: 0.015446 || Task Loss: 0.1553 || KD Loss: 0.0460|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:56:52 || Estimated Time: 1 day, 11:55:09
2023-07-20 01:17:25,497 semantic_segmentation INFO: Iters: 12490/50000 || Lr: 0.015442 || Task Loss: 0.1295 || KD Loss: 0.0491|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1118|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:57:29 || Estimated Time: 1 day, 11:54:41
2023-07-20 01:18:02,270 semantic_segmentation INFO: Iters: 12500/50000 || Lr: 0.015438 || Task Loss: 0.1456 || KD Loss: 0.0499|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1287|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:58:05 || Estimated Time: 1 day, 11:54:13
2023-07-20 01:18:38,727 semantic_segmentation INFO: Iters: 12510/50000 || Lr: 0.015434 || Task Loss: 0.1489 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:58:42 || Estimated Time: 1 day, 11:53:45
2023-07-20 01:19:15,108 semantic_segmentation INFO: Iters: 12520/50000 || Lr: 0.015431 || Task Loss: 0.1516 || KD Loss: 0.0453|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:59:18 || Estimated Time: 1 day, 11:53:16
2023-07-20 01:19:51,775 semantic_segmentation INFO: Iters: 12530/50000 || Lr: 0.015427 || Task Loss: 0.1211 || KD Loss: 0.0434|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1275|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 11:59:55 || Estimated Time: 1 day, 11:52:49
2023-07-20 01:20:28,063 semantic_segmentation INFO: Iters: 12540/50000 || Lr: 0.015423 || Task Loss: 0.1304 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:00:31 || Estimated Time: 1 day, 11:52:19
2023-07-20 01:21:04,870 semantic_segmentation INFO: Iters: 12550/50000 || Lr: 0.015420 || Task Loss: 0.1405 || KD Loss: 0.0474|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:01:08 || Estimated Time: 1 day, 11:51:52
2023-07-20 01:21:41,206 semantic_segmentation INFO: Iters: 12560/50000 || Lr: 0.015416 || Task Loss: 0.1464 || KD Loss: 0.0533|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1281|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:01:44 || Estimated Time: 1 day, 11:51:23
2023-07-20 01:22:17,684 semantic_segmentation INFO: Iters: 12570/50000 || Lr: 0.015412 || Task Loss: 0.1310 || KD Loss: 0.0494|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1162|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:02:21 || Estimated Time: 1 day, 11:50:54
2023-07-20 01:22:54,704 semantic_segmentation INFO: Iters: 12580/50000 || Lr: 0.015409 || Task Loss: 0.1655 || KD Loss: 0.0652|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1253|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:02:58 || Estimated Time: 1 day, 11:50:27
2023-07-20 01:23:31,100 semantic_segmentation INFO: Iters: 12590/50000 || Lr: 0.015405 || Task Loss: 0.1421 || KD Loss: 0.0434|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:03:34 || Estimated Time: 1 day, 11:49:58
2023-07-20 01:24:08,081 semantic_segmentation INFO: Iters: 12600/50000 || Lr: 0.015401 || Task Loss: 0.1560 || KD Loss: 0.0468|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1100|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:04:11 || Estimated Time: 1 day, 11:49:31
2023-07-20 01:24:44,361 semantic_segmentation INFO: Iters: 12610/50000 || Lr: 0.015397 || Task Loss: 0.1295 || KD Loss: 0.0446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1222|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:04:47 || Estimated Time: 1 day, 11:49:02
2023-07-20 01:25:20,928 semantic_segmentation INFO: Iters: 12620/50000 || Lr: 0.015394 || Task Loss: 0.1327 || KD Loss: 0.0453|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:05:24 || Estimated Time: 1 day, 11:48:34
2023-07-20 01:25:57,394 semantic_segmentation INFO: Iters: 12630/50000 || Lr: 0.015390 || Task Loss: 0.1389 || KD Loss: 0.0537|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1210|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:06:00 || Estimated Time: 1 day, 11:48:05
2023-07-20 01:26:34,067 semantic_segmentation INFO: Iters: 12640/50000 || Lr: 0.015386 || Task Loss: 0.1362 || KD Loss: 0.0443|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:06:37 || Estimated Time: 1 day, 11:47:37
2023-07-20 01:27:10,451 semantic_segmentation INFO: Iters: 12650/50000 || Lr: 0.015383 || Task Loss: 0.1345 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1149|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:07:14 || Estimated Time: 1 day, 11:47:08
2023-07-20 01:27:47,556 semantic_segmentation INFO: Iters: 12660/50000 || Lr: 0.015379 || Task Loss: 0.1250 || KD Loss: 0.0545|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1271|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:07:51 || Estimated Time: 1 day, 11:46:41
2023-07-20 01:28:23,878 semantic_segmentation INFO: Iters: 12670/50000 || Lr: 0.015375 || Task Loss: 0.1577 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:08:27 || Estimated Time: 1 day, 11:46:12
2023-07-20 01:29:00,438 semantic_segmentation INFO: Iters: 12680/50000 || Lr: 0.015371 || Task Loss: 0.1360 || KD Loss: 0.0499|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1216|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:09:04 || Estimated Time: 1 day, 11:45:44
2023-07-20 01:29:37,110 semantic_segmentation INFO: Iters: 12690/50000 || Lr: 0.015368 || Task Loss: 0.1460 || KD Loss: 0.0467|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1145|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:09:40 || Estimated Time: 1 day, 11:45:16
2023-07-20 01:30:13,506 semantic_segmentation INFO: Iters: 12700/50000 || Lr: 0.015364 || Task Loss: 0.1622 || KD Loss: 0.0401|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0926|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:10:17 || Estimated Time: 1 day, 11:44:47
2023-07-20 01:30:50,090 semantic_segmentation INFO: Iters: 12710/50000 || Lr: 0.015360 || Task Loss: 0.1392 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:10:53 || Estimated Time: 1 day, 11:44:19
2023-07-20 01:31:26,914 semantic_segmentation INFO: Iters: 12720/50000 || Lr: 0.015357 || Task Loss: 0.1301 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1159|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:11:30 || Estimated Time: 1 day, 11:43:51
2023-07-20 01:32:03,618 semantic_segmentation INFO: Iters: 12730/50000 || Lr: 0.015353 || Task Loss: 0.1324 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:12:07 || Estimated Time: 1 day, 11:43:23
2023-07-20 01:32:40,450 semantic_segmentation INFO: Iters: 12740/50000 || Lr: 0.015349 || Task Loss: 0.1643 || KD Loss: 0.0453|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:12:44 || Estimated Time: 1 day, 11:42:55
2023-07-20 01:33:17,200 semantic_segmentation INFO: Iters: 12750/50000 || Lr: 0.015346 || Task Loss: 0.1413 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:13:20 || Estimated Time: 1 day, 11:42:27
2023-07-20 01:33:53,542 semantic_segmentation INFO: Iters: 12760/50000 || Lr: 0.015342 || Task Loss: 0.1529 || KD Loss: 0.0477|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:13:57 || Estimated Time: 1 day, 11:41:58
2023-07-20 01:34:30,284 semantic_segmentation INFO: Iters: 12770/50000 || Lr: 0.015338 || Task Loss: 0.1252 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:14:33 || Estimated Time: 1 day, 11:41:30
2023-07-20 01:35:06,465 semantic_segmentation INFO: Iters: 12780/50000 || Lr: 0.015334 || Task Loss: 0.1363 || KD Loss: 0.0419|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:15:10 || Estimated Time: 1 day, 11:41:01
2023-07-20 01:35:43,275 semantic_segmentation INFO: Iters: 12790/50000 || Lr: 0.015331 || Task Loss: 0.1573 || KD Loss: 0.0421|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:15:46 || Estimated Time: 1 day, 11:40:33
2023-07-20 01:36:20,161 semantic_segmentation INFO: Iters: 12800/50000 || Lr: 0.015327 || Task Loss: 0.1321 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:16:23 || Estimated Time: 1 day, 11:40:05
2023-07-20 01:36:20,224 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 01:36:20,587 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.958, mIoU: 0.682
2023-07-20 01:36:20,616 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.958, mIoU: 0.690
2023-07-20 01:36:20,628 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.958, mIoU: 0.688
2023-07-20 01:36:20,641 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.957, mIoU: 0.684
2023-07-20 01:36:20,655 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.956, mIoU: 0.677
2023-07-20 01:36:20,669 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.955, mIoU: 0.676
2023-07-20 01:36:20,684 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.956, mIoU: 0.675
2023-07-20 01:36:20,698 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.956, mIoU: 0.675
2023-07-20 01:36:20,713 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.955, mIoU: 0.676
2023-07-20 01:36:20,728 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.955, mIoU: 0.677
2023-07-20 01:36:20,743 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.955, mIoU: 0.679
2023-07-20 01:36:20,758 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.954, mIoU: 0.679
2023-07-20 01:36:20,773 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 01:36:20,788 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 01:36:20,803 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.955, mIoU: 0.682
2023-07-20 01:36:20,818 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 01:36:20,832 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 01:36:20,847 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 01:36:20,861 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.952, mIoU: 0.677
2023-07-20 01:36:20,876 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.952, mIoU: 0.675
2023-07-20 01:36:20,890 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.952, mIoU: 0.675
2023-07-20 01:36:20,905 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.951, mIoU: 0.673
2023-07-20 01:36:20,919 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.950, mIoU: 0.671
2023-07-20 01:36:20,934 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.950, mIoU: 0.668
2023-07-20 01:36:20,948 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.949, mIoU: 0.667
2023-07-20 01:36:20,963 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.949, mIoU: 0.667
2023-07-20 01:36:20,977 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.949, mIoU: 0.667
2023-07-20 01:36:20,991 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.949, mIoU: 0.666
2023-07-20 01:36:21,006 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.950, mIoU: 0.667
2023-07-20 01:36:21,020 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.950, mIoU: 0.668
2023-07-20 01:36:21,035 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.950, mIoU: 0.669
2023-07-20 01:36:21,049 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.950, mIoU: 0.670
2023-07-20 01:36:21,064 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.950, mIoU: 0.671
2023-07-20 01:36:21,078 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.950, mIoU: 0.671
2023-07-20 01:36:21,093 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.950, mIoU: 0.672
2023-07-20 01:36:21,107 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.949, mIoU: 0.672
2023-07-20 01:36:21,122 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.948, mIoU: 0.672
2023-07-20 01:36:21,137 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.948, mIoU: 0.673
2023-07-20 01:36:21,152 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.948, mIoU: 0.674
2023-07-20 01:36:21,167 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.948, mIoU: 0.675
2023-07-20 01:36:21,182 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.948, mIoU: 0.676
2023-07-20 01:36:21,197 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.948, mIoU: 0.678
2023-07-20 01:36:21,211 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.948, mIoU: 0.680
2023-07-20 01:36:21,226 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.948, mIoU: 0.681
2023-07-20 01:36:21,240 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.948, mIoU: 0.682
2023-07-20 01:36:21,254 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.948, mIoU: 0.684
2023-07-20 01:36:21,269 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.948, mIoU: 0.685
2023-07-20 01:36:21,283 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.948, mIoU: 0.687
2023-07-20 01:36:21,297 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.948, mIoU: 0.688
2023-07-20 01:36:21,312 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.947, mIoU: 0.688
2023-07-20 01:36:21,326 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.947, mIoU: 0.689
2023-07-20 01:36:21,341 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.946, mIoU: 0.689
2023-07-20 01:36:21,356 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.946, mIoU: 0.690
2023-07-20 01:36:21,371 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.946, mIoU: 0.690
2023-07-20 01:36:21,386 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.945, mIoU: 0.691
2023-07-20 01:36:21,402 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.945, mIoU: 0.691
2023-07-20 01:36:21,417 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.945, mIoU: 0.692
2023-07-20 01:36:21,431 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.944, mIoU: 0.692
2023-07-20 01:36:21,446 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.944, mIoU: 0.694
2023-07-20 01:36:21,460 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.944, mIoU: 0.695
2023-07-20 01:36:21,475 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.944, mIoU: 0.696
2023-07-20 01:36:21,489 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.943, mIoU: 0.697
2023-07-20 01:36:21,504 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.943, mIoU: 0.698
2023-07-20 01:36:21,518 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.943, mIoU: 0.699
2023-07-20 01:36:21,533 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.942, mIoU: 0.700
2023-07-20 01:36:21,548 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.942, mIoU: 0.701
2023-07-20 01:36:21,563 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.941, mIoU: 0.702
2023-07-20 01:36:21,578 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.941, mIoU: 0.703
2023-07-20 01:36:21,594 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.940, mIoU: 0.704
2023-07-20 01:36:21,609 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.940, mIoU: 0.705
2023-07-20 01:36:21,624 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.940, mIoU: 0.706
2023-07-20 01:36:21,639 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.939, mIoU: 0.706
2023-07-20 01:36:21,653 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.939, mIoU: 0.706
2023-07-20 01:36:21,668 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.938, mIoU: 0.705
2023-07-20 01:36:21,682 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.938, mIoU: 0.705
2023-07-20 01:36:21,697 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-20 01:36:21,711 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-20 01:36:21,726 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-20 01:36:21,741 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 01:36:21,757 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 01:36:21,772 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 01:36:21,787 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 01:36:21,802 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-20 01:36:21,817 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-20 01:36:21,832 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 01:36:21,847 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.933, mIoU: 0.695
2023-07-20 01:36:21,861 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 01:36:21,875 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-20 01:36:21,889 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.933, mIoU: 0.690
2023-07-20 01:36:21,904 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 01:36:21,918 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-20 01:36:21,932 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 01:36:21,947 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 01:36:21,962 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 01:36:21,976 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 01:36:21,991 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 01:36:22,006 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.934, mIoU: 0.688
2023-07-20 01:36:22,020 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.934, mIoU: 0.688
2023-07-20 01:36:22,035 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 01:36:22,049 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 01:36:22,063 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-20 01:36:58,772 semantic_segmentation INFO: Iters: 12810/50000 || Lr: 0.015323 || Task Loss: 0.1389 || KD Loss: 0.0485|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:17:02 || Estimated Time: 1 day, 11:39:42
2023-07-20 01:37:35,275 semantic_segmentation INFO: Iters: 12820/50000 || Lr: 0.015320 || Task Loss: 0.1392 || KD Loss: 0.0437|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1094|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:17:38 || Estimated Time: 1 day, 11:39:14
2023-07-20 01:38:11,745 semantic_segmentation INFO: Iters: 12830/50000 || Lr: 0.015316 || Task Loss: 0.1437 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1101|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:18:15 || Estimated Time: 1 day, 11:38:45
2023-07-20 01:38:48,186 semantic_segmentation INFO: Iters: 12840/50000 || Lr: 0.015312 || Task Loss: 0.1501 || KD Loss: 0.0467|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:18:51 || Estimated Time: 1 day, 11:38:16
2023-07-20 01:39:25,242 semantic_segmentation INFO: Iters: 12850/50000 || Lr: 0.015308 || Task Loss: 0.1542 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:19:28 || Estimated Time: 1 day, 11:37:48
2023-07-20 01:40:01,749 semantic_segmentation INFO: Iters: 12860/50000 || Lr: 0.015305 || Task Loss: 0.1407 || KD Loss: 0.0482|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1191|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:20:05 || Estimated Time: 1 day, 11:37:19
2023-07-20 01:40:38,559 semantic_segmentation INFO: Iters: 12870/50000 || Lr: 0.015301 || Task Loss: 0.1293 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1120|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:20:42 || Estimated Time: 1 day, 11:36:52
2023-07-20 01:41:15,339 semantic_segmentation INFO: Iters: 12880/50000 || Lr: 0.015297 || Task Loss: 0.1283 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:21:18 || Estimated Time: 1 day, 11:36:24
2023-07-20 01:41:51,990 semantic_segmentation INFO: Iters: 12890/50000 || Lr: 0.015294 || Task Loss: 0.1570 || KD Loss: 0.0461|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:21:55 || Estimated Time: 1 day, 11:35:55
2023-07-20 01:42:28,095 semantic_segmentation INFO: Iters: 12900/50000 || Lr: 0.015290 || Task Loss: 0.1535 || KD Loss: 0.0445|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:22:31 || Estimated Time: 1 day, 11:35:25
2023-07-20 01:43:05,173 semantic_segmentation INFO: Iters: 12910/50000 || Lr: 0.015286 || Task Loss: 0.1443 || KD Loss: 0.0490|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:23:08 || Estimated Time: 1 day, 11:34:58
2023-07-20 01:43:42,100 semantic_segmentation INFO: Iters: 12920/50000 || Lr: 0.015282 || Task Loss: 0.1299 || KD Loss: 0.0445|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:23:45 || Estimated Time: 1 day, 11:34:30
2023-07-20 01:44:18,100 semantic_segmentation INFO: Iters: 12930/50000 || Lr: 0.015279 || Task Loss: 0.1442 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:24:21 || Estimated Time: 1 day, 11:34:00
2023-07-20 01:44:54,554 semantic_segmentation INFO: Iters: 12940/50000 || Lr: 0.015275 || Task Loss: 0.1410 || KD Loss: 0.0446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1094|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:24:58 || Estimated Time: 1 day, 11:33:31
2023-07-20 01:45:31,568 semantic_segmentation INFO: Iters: 12950/50000 || Lr: 0.015271 || Task Loss: 0.1433 || KD Loss: 0.0506|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1171|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:25:35 || Estimated Time: 1 day, 11:33:03
2023-07-20 01:46:08,272 semantic_segmentation INFO: Iters: 12960/50000 || Lr: 0.015268 || Task Loss: 0.1686 || KD Loss: 0.0452|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:26:11 || Estimated Time: 1 day, 11:32:35
2023-07-20 01:46:44,433 semantic_segmentation INFO: Iters: 12970/50000 || Lr: 0.015264 || Task Loss: 0.1362 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:26:48 || Estimated Time: 1 day, 11:32:05
2023-07-20 01:47:21,446 semantic_segmentation INFO: Iters: 12980/50000 || Lr: 0.015260 || Task Loss: 0.1333 || KD Loss: 0.0452|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1190|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:27:25 || Estimated Time: 1 day, 11:31:37
2023-07-20 01:47:57,720 semantic_segmentation INFO: Iters: 12990/50000 || Lr: 0.015256 || Task Loss: 0.1225 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:28:01 || Estimated Time: 1 day, 11:31:08
2023-07-20 01:48:34,523 semantic_segmentation INFO: Iters: 13000/50000 || Lr: 0.015253 || Task Loss: 0.1138 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1225|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:28:38 || Estimated Time: 1 day, 11:30:40
2023-07-20 01:49:11,529 semantic_segmentation INFO: Iters: 13010/50000 || Lr: 0.015249 || Task Loss: 0.1430 || KD Loss: 0.0418|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:29:15 || Estimated Time: 1 day, 11:30:12
2023-07-20 01:49:48,046 semantic_segmentation INFO: Iters: 13020/50000 || Lr: 0.015245 || Task Loss: 0.1377 || KD Loss: 0.0431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:29:51 || Estimated Time: 1 day, 11:29:43
2023-07-20 01:50:25,353 semantic_segmentation INFO: Iters: 13030/50000 || Lr: 0.015242 || Task Loss: 0.1560 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:30:28 || Estimated Time: 1 day, 11:29:16
2023-07-20 01:51:01,586 semantic_segmentation INFO: Iters: 13040/50000 || Lr: 0.015238 || Task Loss: 0.1251 || KD Loss: 0.0457|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1169|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:31:05 || Estimated Time: 1 day, 11:28:47
2023-07-20 01:51:38,122 semantic_segmentation INFO: Iters: 13050/50000 || Lr: 0.015234 || Task Loss: 0.1488 || KD Loss: 0.0434|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:31:41 || Estimated Time: 1 day, 11:28:18
2023-07-20 01:52:14,687 semantic_segmentation INFO: Iters: 13060/50000 || Lr: 0.015231 || Task Loss: 0.1453 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:32:18 || Estimated Time: 1 day, 11:27:49
2023-07-20 01:52:51,329 semantic_segmentation INFO: Iters: 13070/50000 || Lr: 0.015227 || Task Loss: 0.1501 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:32:54 || Estimated Time: 1 day, 11:27:21
2023-07-20 01:53:28,460 semantic_segmentation INFO: Iters: 13080/50000 || Lr: 0.015223 || Task Loss: 0.1379 || KD Loss: 0.0539|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1226|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:33:32 || Estimated Time: 1 day, 11:26:53
2023-07-20 01:54:05,017 semantic_segmentation INFO: Iters: 13090/50000 || Lr: 0.015219 || Task Loss: 0.1359 || KD Loss: 0.0505|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1235|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:34:08 || Estimated Time: 1 day, 11:26:24
2023-07-20 01:54:41,626 semantic_segmentation INFO: Iters: 13100/50000 || Lr: 0.015216 || Task Loss: 0.1357 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:34:45 || Estimated Time: 1 day, 11:25:55
2023-07-20 01:55:18,564 semantic_segmentation INFO: Iters: 13110/50000 || Lr: 0.015212 || Task Loss: 0.1574 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:35:22 || Estimated Time: 1 day, 11:25:27
2023-07-20 01:55:54,872 semantic_segmentation INFO: Iters: 13120/50000 || Lr: 0.015208 || Task Loss: 0.1444 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1048|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:35:58 || Estimated Time: 1 day, 11:24:58
2023-07-20 01:56:31,646 semantic_segmentation INFO: Iters: 13130/50000 || Lr: 0.015205 || Task Loss: 0.1468 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:36:35 || Estimated Time: 1 day, 11:24:29
2023-07-20 01:57:08,103 semantic_segmentation INFO: Iters: 13140/50000 || Lr: 0.015201 || Task Loss: 0.1107 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:37:11 || Estimated Time: 1 day, 11:24:00
2023-07-20 01:57:44,859 semantic_segmentation INFO: Iters: 13150/50000 || Lr: 0.015197 || Task Loss: 0.1531 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:37:48 || Estimated Time: 1 day, 11:23:31
2023-07-20 01:58:21,527 semantic_segmentation INFO: Iters: 13160/50000 || Lr: 0.015193 || Task Loss: 0.1409 || KD Loss: 0.0503|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1176|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:38:25 || Estimated Time: 1 day, 11:23:03
2023-07-20 01:58:58,386 semantic_segmentation INFO: Iters: 13170/50000 || Lr: 0.015190 || Task Loss: 0.1385 || KD Loss: 0.0435|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:39:01 || Estimated Time: 1 day, 11:22:35
2023-07-20 01:59:35,519 semantic_segmentation INFO: Iters: 13180/50000 || Lr: 0.015186 || Task Loss: 0.1455 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:39:39 || Estimated Time: 1 day, 11:22:07
2023-07-20 02:00:12,135 semantic_segmentation INFO: Iters: 13190/50000 || Lr: 0.015182 || Task Loss: 0.1401 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:40:15 || Estimated Time: 1 day, 11:21:38
2023-07-20 02:00:48,516 semantic_segmentation INFO: Iters: 13200/50000 || Lr: 0.015179 || Task Loss: 0.1521 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:40:52 || Estimated Time: 1 day, 11:21:09
2023-07-20 02:01:25,261 semantic_segmentation INFO: Iters: 13210/50000 || Lr: 0.015175 || Task Loss: 0.1428 || KD Loss: 0.0484|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1243|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:41:28 || Estimated Time: 1 day, 11:20:40
2023-07-20 02:02:01,984 semantic_segmentation INFO: Iters: 13220/50000 || Lr: 0.015171 || Task Loss: 0.1598 || KD Loss: 0.0519|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:42:05 || Estimated Time: 1 day, 11:20:11
2023-07-20 02:02:38,809 semantic_segmentation INFO: Iters: 13230/50000 || Lr: 0.015167 || Task Loss: 0.1347 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:42:42 || Estimated Time: 1 day, 11:19:43
2023-07-20 02:03:15,751 semantic_segmentation INFO: Iters: 13240/50000 || Lr: 0.015164 || Task Loss: 0.1320 || KD Loss: 0.0466|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:43:19 || Estimated Time: 1 day, 11:19:15
2023-07-20 02:03:52,280 semantic_segmentation INFO: Iters: 13250/50000 || Lr: 0.015160 || Task Loss: 0.1433 || KD Loss: 0.0503|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1084|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:43:55 || Estimated Time: 1 day, 11:18:46
2023-07-20 02:04:28,868 semantic_segmentation INFO: Iters: 13260/50000 || Lr: 0.015156 || Task Loss: 0.1328 || KD Loss: 0.0415|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:44:32 || Estimated Time: 1 day, 11:18:17
2023-07-20 02:05:05,780 semantic_segmentation INFO: Iters: 13270/50000 || Lr: 0.015153 || Task Loss: 0.1240 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:45:09 || Estimated Time: 1 day, 11:17:48
2023-07-20 02:05:42,740 semantic_segmentation INFO: Iters: 13280/50000 || Lr: 0.015149 || Task Loss: 0.1364 || KD Loss: 0.0459|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1240|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:45:46 || Estimated Time: 1 day, 11:17:20
2023-07-20 02:06:18,831 semantic_segmentation INFO: Iters: 13290/50000 || Lr: 0.015145 || Task Loss: 0.1645 || KD Loss: 0.0441|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:46:22 || Estimated Time: 1 day, 11:16:50
2023-07-20 02:06:55,302 semantic_segmentation INFO: Iters: 13300/50000 || Lr: 0.015141 || Task Loss: 0.1476 || KD Loss: 0.0425|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:46:58 || Estimated Time: 1 day, 11:16:20
2023-07-20 02:07:31,867 semantic_segmentation INFO: Iters: 13310/50000 || Lr: 0.015138 || Task Loss: 0.1544 || KD Loss: 0.0513|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:47:35 || Estimated Time: 1 day, 11:15:51
2023-07-20 02:08:08,811 semantic_segmentation INFO: Iters: 13320/50000 || Lr: 0.015134 || Task Loss: 0.1227 || KD Loss: 0.0484|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1229|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:48:12 || Estimated Time: 1 day, 11:15:23
2023-07-20 02:08:45,407 semantic_segmentation INFO: Iters: 13330/50000 || Lr: 0.015130 || Task Loss: 0.1291 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:48:49 || Estimated Time: 1 day, 11:14:54
2023-07-20 02:09:22,139 semantic_segmentation INFO: Iters: 13340/50000 || Lr: 0.015127 || Task Loss: 0.1396 || KD Loss: 0.0451|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:49:25 || Estimated Time: 1 day, 11:14:25
2023-07-20 02:09:58,593 semantic_segmentation INFO: Iters: 13350/50000 || Lr: 0.015123 || Task Loss: 0.1570 || KD Loss: 0.0442|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1073|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:50:02 || Estimated Time: 1 day, 11:13:56
2023-07-20 02:10:35,286 semantic_segmentation INFO: Iters: 13360/50000 || Lr: 0.015119 || Task Loss: 0.1458 || KD Loss: 0.0427|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:50:38 || Estimated Time: 1 day, 11:13:27
2023-07-20 02:11:12,375 semantic_segmentation INFO: Iters: 13370/50000 || Lr: 0.015115 || Task Loss: 0.1492 || KD Loss: 0.0501|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:51:15 || Estimated Time: 1 day, 11:12:59
2023-07-20 02:11:49,150 semantic_segmentation INFO: Iters: 13380/50000 || Lr: 0.015112 || Task Loss: 0.1462 || KD Loss: 0.0458|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:51:52 || Estimated Time: 1 day, 11:12:30
2023-07-20 02:12:25,853 semantic_segmentation INFO: Iters: 13390/50000 || Lr: 0.015108 || Task Loss: 0.1449 || KD Loss: 0.0457|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1135|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:52:29 || Estimated Time: 1 day, 11:12:01
2023-07-20 02:13:02,446 semantic_segmentation INFO: Iters: 13400/50000 || Lr: 0.015104 || Task Loss: 0.1440 || KD Loss: 0.0438|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1073|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:53:06 || Estimated Time: 1 day, 11:11:32
2023-07-20 02:13:39,584 semantic_segmentation INFO: Iters: 13410/50000 || Lr: 0.015101 || Task Loss: 0.1710 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:53:43 || Estimated Time: 1 day, 11:11:05
2023-07-20 02:14:15,985 semantic_segmentation INFO: Iters: 13420/50000 || Lr: 0.015097 || Task Loss: 0.1530 || KD Loss: 0.0443|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1192|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:54:19 || Estimated Time: 1 day, 11:10:35
2023-07-20 02:14:52,638 semantic_segmentation INFO: Iters: 13430/50000 || Lr: 0.015093 || Task Loss: 0.1579 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:54:56 || Estimated Time: 1 day, 11:10:06
2023-07-20 02:15:29,496 semantic_segmentation INFO: Iters: 13440/50000 || Lr: 0.015089 || Task Loss: 0.1467 || KD Loss: 0.0449|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:55:33 || Estimated Time: 1 day, 11:09:37
2023-07-20 02:16:06,233 semantic_segmentation INFO: Iters: 13450/50000 || Lr: 0.015086 || Task Loss: 0.1510 || KD Loss: 0.0445|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1073|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:56:09 || Estimated Time: 1 day, 11:09:08
2023-07-20 02:16:42,478 semantic_segmentation INFO: Iters: 13460/50000 || Lr: 0.015082 || Task Loss: 0.1383 || KD Loss: 0.0406|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:56:46 || Estimated Time: 1 day, 11:08:38
2023-07-20 02:17:19,190 semantic_segmentation INFO: Iters: 13470/50000 || Lr: 0.015078 || Task Loss: 0.1215 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:57:22 || Estimated Time: 1 day, 11:08:09
2023-07-20 02:17:55,787 semantic_segmentation INFO: Iters: 13480/50000 || Lr: 0.015075 || Task Loss: 0.1342 || KD Loss: 0.0419|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:57:59 || Estimated Time: 1 day, 11:07:40
2023-07-20 02:18:32,625 semantic_segmentation INFO: Iters: 13490/50000 || Lr: 0.015071 || Task Loss: 0.1442 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:58:36 || Estimated Time: 1 day, 11:07:11
2023-07-20 02:19:08,882 semantic_segmentation INFO: Iters: 13500/50000 || Lr: 0.015067 || Task Loss: 0.1429 || KD Loss: 0.0416|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:59:12 || Estimated Time: 1 day, 11:06:41
2023-07-20 02:19:45,524 semantic_segmentation INFO: Iters: 13510/50000 || Lr: 0.015063 || Task Loss: 0.1491 || KD Loss: 0.0428|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:59:49 || Estimated Time: 1 day, 11:06:12
2023-07-20 02:20:22,295 semantic_segmentation INFO: Iters: 13520/50000 || Lr: 0.015060 || Task Loss: 0.1484 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:00:25 || Estimated Time: 1 day, 11:05:43
2023-07-20 02:20:58,676 semantic_segmentation INFO: Iters: 13530/50000 || Lr: 0.015056 || Task Loss: 0.1374 || KD Loss: 0.0481|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:01:02 || Estimated Time: 1 day, 11:05:13
2023-07-20 02:21:35,447 semantic_segmentation INFO: Iters: 13540/50000 || Lr: 0.015052 || Task Loss: 0.1347 || KD Loss: 0.0401|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:01:39 || Estimated Time: 1 day, 11:04:44
2023-07-20 02:22:11,826 semantic_segmentation INFO: Iters: 13550/50000 || Lr: 0.015049 || Task Loss: 0.1371 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:02:15 || Estimated Time: 1 day, 11:04:14
2023-07-20 02:22:48,901 semantic_segmentation INFO: Iters: 13560/50000 || Lr: 0.015045 || Task Loss: 0.1395 || KD Loss: 0.0415|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:02:52 || Estimated Time: 1 day, 11:03:46
2023-07-20 02:23:24,960 semantic_segmentation INFO: Iters: 13570/50000 || Lr: 0.015041 || Task Loss: 0.1309 || KD Loss: 0.0429|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1179|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:03:28 || Estimated Time: 1 day, 11:03:15
2023-07-20 02:24:01,563 semantic_segmentation INFO: Iters: 13580/50000 || Lr: 0.015037 || Task Loss: 0.1607 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:04:05 || Estimated Time: 1 day, 11:02:46
2023-07-20 02:24:38,776 semantic_segmentation INFO: Iters: 13590/50000 || Lr: 0.015034 || Task Loss: 0.1344 || KD Loss: 0.0433|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1112|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:04:42 || Estimated Time: 1 day, 11:02:18
2023-07-20 02:25:15,074 semantic_segmentation INFO: Iters: 13600/50000 || Lr: 0.015030 || Task Loss: 0.1567 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:05:18 || Estimated Time: 1 day, 11:01:48
2023-07-20 02:25:15,140 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 02:25:15,507 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.959, mIoU: 0.691
2023-07-20 02:25:15,532 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-20 02:25:15,545 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-20 02:25:15,558 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-20 02:25:15,572 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.956, mIoU: 0.683
2023-07-20 02:25:15,585 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.956, mIoU: 0.681
2023-07-20 02:25:15,598 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.956, mIoU: 0.681
2023-07-20 02:25:15,611 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.956, mIoU: 0.682
2023-07-20 02:25:15,624 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.956, mIoU: 0.682
2023-07-20 02:25:15,637 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.956, mIoU: 0.684
2023-07-20 02:25:15,650 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.956, mIoU: 0.684
2023-07-20 02:25:15,663 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.955, mIoU: 0.683
2023-07-20 02:25:15,677 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 02:25:15,691 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 02:25:15,705 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-20 02:25:15,719 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-20 02:25:15,733 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 02:25:15,747 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 02:25:15,761 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.953, mIoU: 0.680
2023-07-20 02:25:15,775 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 02:25:15,789 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 02:25:15,802 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.951, mIoU: 0.676
2023-07-20 02:25:15,816 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.951, mIoU: 0.675
2023-07-20 02:25:15,830 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.950, mIoU: 0.673
2023-07-20 02:25:15,844 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.950, mIoU: 0.672
2023-07-20 02:25:15,858 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.950, mIoU: 0.672
2023-07-20 02:25:15,872 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.950, mIoU: 0.672
2023-07-20 02:25:15,886 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.950, mIoU: 0.672
2023-07-20 02:25:15,900 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.950, mIoU: 0.673
2023-07-20 02:25:15,914 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.950, mIoU: 0.673
2023-07-20 02:25:15,928 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-20 02:25:15,942 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-20 02:25:15,957 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.951, mIoU: 0.675
2023-07-20 02:25:15,971 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.950, mIoU: 0.675
2023-07-20 02:25:15,985 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.950, mIoU: 0.676
2023-07-20 02:25:15,999 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.949, mIoU: 0.676
2023-07-20 02:25:16,013 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.948, mIoU: 0.675
2023-07-20 02:25:16,028 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.948, mIoU: 0.676
2023-07-20 02:25:16,042 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.948, mIoU: 0.677
2023-07-20 02:25:16,056 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.948, mIoU: 0.678
2023-07-20 02:25:16,070 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.948, mIoU: 0.680
2023-07-20 02:25:16,085 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.948, mIoU: 0.681
2023-07-20 02:25:16,100 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.948, mIoU: 0.683
2023-07-20 02:25:16,115 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.949, mIoU: 0.685
2023-07-20 02:25:16,131 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.948, mIoU: 0.685
2023-07-20 02:25:16,146 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.948, mIoU: 0.687
2023-07-20 02:25:16,161 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.948, mIoU: 0.689
2023-07-20 02:25:16,176 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.948, mIoU: 0.690
2023-07-20 02:25:16,190 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.948, mIoU: 0.692
2023-07-20 02:25:16,205 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.947, mIoU: 0.692
2023-07-20 02:25:16,219 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.947, mIoU: 0.692
2023-07-20 02:25:16,234 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.946, mIoU: 0.692
2023-07-20 02:25:16,248 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.946, mIoU: 0.692
2023-07-20 02:25:16,263 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.945, mIoU: 0.693
2023-07-20 02:25:16,277 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.945, mIoU: 0.693
2023-07-20 02:25:16,292 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.944, mIoU: 0.693
2023-07-20 02:25:16,306 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.944, mIoU: 0.693
2023-07-20 02:25:16,321 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.944, mIoU: 0.693
2023-07-20 02:25:16,335 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.943, mIoU: 0.693
2023-07-20 02:25:16,350 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.943, mIoU: 0.694
2023-07-20 02:25:16,364 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.943, mIoU: 0.695
2023-07-20 02:25:16,379 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.942, mIoU: 0.695
2023-07-20 02:25:16,393 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.942, mIoU: 0.696
2023-07-20 02:25:16,408 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.941, mIoU: 0.697
2023-07-20 02:25:16,422 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.941, mIoU: 0.697
2023-07-20 02:25:16,437 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.940, mIoU: 0.697
2023-07-20 02:25:16,452 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.940, mIoU: 0.698
2023-07-20 02:25:16,467 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.939, mIoU: 0.698
2023-07-20 02:25:16,482 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.938, mIoU: 0.699
2023-07-20 02:25:16,496 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.938, mIoU: 0.699
2023-07-20 02:25:16,511 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 02:25:16,526 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 02:25:16,541 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 02:25:16,555 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 02:25:16,570 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 02:25:16,585 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 02:25:16,600 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-20 02:25:16,614 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-20 02:25:16,629 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 02:25:16,644 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-20 02:25:16,658 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-20 02:25:16,672 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.932, mIoU: 0.691
2023-07-20 02:25:16,687 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 02:25:16,701 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.931, mIoU: 0.688
2023-07-20 02:25:16,716 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.931, mIoU: 0.687
2023-07-20 02:25:16,730 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.931, mIoU: 0.685
2023-07-20 02:25:16,744 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.930, mIoU: 0.683
2023-07-20 02:25:16,759 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.930, mIoU: 0.681
2023-07-20 02:25:16,773 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.930, mIoU: 0.678
2023-07-20 02:25:16,787 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.929, mIoU: 0.677
2023-07-20 02:25:16,801 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.929, mIoU: 0.676
2023-07-20 02:25:16,816 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.929, mIoU: 0.676
2023-07-20 02:25:16,830 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.930, mIoU: 0.676
2023-07-20 02:25:16,844 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.930, mIoU: 0.676
2023-07-20 02:25:16,859 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.930, mIoU: 0.676
2023-07-20 02:25:16,873 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.930, mIoU: 0.676
2023-07-20 02:25:16,887 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.931, mIoU: 0.675
2023-07-20 02:25:16,901 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.931, mIoU: 0.675
2023-07-20 02:25:16,916 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.931, mIoU: 0.675
2023-07-20 02:25:16,930 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.931, mIoU: 0.674
2023-07-20 02:25:16,944 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.931, mIoU: 0.673
2023-07-20 02:25:53,852 semantic_segmentation INFO: Iters: 13610/50000 || Lr: 0.015026 || Task Loss: 0.1426 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:05:57 || Estimated Time: 1 day, 11:01:24
2023-07-20 02:26:30,169 semantic_segmentation INFO: Iters: 13620/50000 || Lr: 0.015023 || Task Loss: 0.1536 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:06:33 || Estimated Time: 1 day, 11:00:54
2023-07-20 02:27:06,859 semantic_segmentation INFO: Iters: 13630/50000 || Lr: 0.015019 || Task Loss: 0.1351 || KD Loss: 0.0456|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1108|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:07:10 || Estimated Time: 1 day, 11:00:25
2023-07-20 02:27:43,275 semantic_segmentation INFO: Iters: 13640/50000 || Lr: 0.015015 || Task Loss: 0.1522 || KD Loss: 0.0513|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1179|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:07:46 || Estimated Time: 1 day, 10:59:55
2023-07-20 02:28:19,856 semantic_segmentation INFO: Iters: 13650/50000 || Lr: 0.015011 || Task Loss: 0.1256 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:08:23 || Estimated Time: 1 day, 10:59:25
2023-07-20 02:28:56,657 semantic_segmentation INFO: Iters: 13660/50000 || Lr: 0.015008 || Task Loss: 0.1231 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:09:00 || Estimated Time: 1 day, 10:58:57
2023-07-20 02:29:32,889 semantic_segmentation INFO: Iters: 13670/50000 || Lr: 0.015004 || Task Loss: 0.1488 || KD Loss: 0.0464|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:09:36 || Estimated Time: 1 day, 10:58:26
2023-07-20 02:30:09,387 semantic_segmentation INFO: Iters: 13680/50000 || Lr: 0.015000 || Task Loss: 0.1204 || KD Loss: 0.0460|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:10:12 || Estimated Time: 1 day, 10:57:56
2023-07-20 02:30:45,918 semantic_segmentation INFO: Iters: 13690/50000 || Lr: 0.014997 || Task Loss: 0.1219 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1160|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:10:49 || Estimated Time: 1 day, 10:57:27
2023-07-20 02:31:22,228 semantic_segmentation INFO: Iters: 13700/50000 || Lr: 0.014993 || Task Loss: 0.1482 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:11:25 || Estimated Time: 1 day, 10:56:56
2023-07-20 02:31:59,080 semantic_segmentation INFO: Iters: 13710/50000 || Lr: 0.014989 || Task Loss: 0.1574 || KD Loss: 0.0571|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1204|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:12:02 || Estimated Time: 1 day, 10:56:27
2023-07-20 02:32:35,809 semantic_segmentation INFO: Iters: 13720/50000 || Lr: 0.014985 || Task Loss: 0.1321 || KD Loss: 0.0485|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1183|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:12:39 || Estimated Time: 1 day, 10:55:58
2023-07-20 02:33:11,931 semantic_segmentation INFO: Iters: 13730/50000 || Lr: 0.014982 || Task Loss: 0.1284 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:13:15 || Estimated Time: 1 day, 10:55:27
2023-07-20 02:33:48,476 semantic_segmentation INFO: Iters: 13740/50000 || Lr: 0.014978 || Task Loss: 0.1469 || KD Loss: 0.0456|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:13:52 || Estimated Time: 1 day, 10:54:58
2023-07-20 02:34:24,936 semantic_segmentation INFO: Iters: 13750/50000 || Lr: 0.014974 || Task Loss: 0.1344 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:14:28 || Estimated Time: 1 day, 10:54:28
2023-07-20 02:35:01,225 semantic_segmentation INFO: Iters: 13760/50000 || Lr: 0.014971 || Task Loss: 0.1177 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1206|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:15:04 || Estimated Time: 1 day, 10:53:57
2023-07-20 02:35:37,865 semantic_segmentation INFO: Iters: 13770/50000 || Lr: 0.014967 || Task Loss: 0.1239 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:15:41 || Estimated Time: 1 day, 10:53:28
2023-07-20 02:36:14,068 semantic_segmentation INFO: Iters: 13780/50000 || Lr: 0.014963 || Task Loss: 0.1231 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:16:17 || Estimated Time: 1 day, 10:52:57
2023-07-20 02:36:50,534 semantic_segmentation INFO: Iters: 13790/50000 || Lr: 0.014959 || Task Loss: 0.1393 || KD Loss: 0.0427|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1125|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:16:54 || Estimated Time: 1 day, 10:52:27
2023-07-20 02:37:26,869 semantic_segmentation INFO: Iters: 13800/50000 || Lr: 0.014956 || Task Loss: 0.1399 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:17:30 || Estimated Time: 1 day, 10:51:57
2023-07-20 02:38:03,603 semantic_segmentation INFO: Iters: 13810/50000 || Lr: 0.014952 || Task Loss: 0.1227 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:18:07 || Estimated Time: 1 day, 10:51:28
2023-07-20 02:38:39,754 semantic_segmentation INFO: Iters: 13820/50000 || Lr: 0.014948 || Task Loss: 0.1265 || KD Loss: 0.0444|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:18:43 || Estimated Time: 1 day, 10:50:57
2023-07-20 02:39:16,728 semantic_segmentation INFO: Iters: 13830/50000 || Lr: 0.014945 || Task Loss: 0.1617 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:19:20 || Estimated Time: 1 day, 10:50:28
2023-07-20 02:39:52,789 semantic_segmentation INFO: Iters: 13840/50000 || Lr: 0.014941 || Task Loss: 0.1413 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:19:56 || Estimated Time: 1 day, 10:49:57
2023-07-20 02:40:29,178 semantic_segmentation INFO: Iters: 13850/50000 || Lr: 0.014937 || Task Loss: 0.1321 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:20:32 || Estimated Time: 1 day, 10:49:27
2023-07-20 02:41:05,773 semantic_segmentation INFO: Iters: 13860/50000 || Lr: 0.014933 || Task Loss: 0.1317 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:21:09 || Estimated Time: 1 day, 10:48:58
2023-07-20 02:41:42,870 semantic_segmentation INFO: Iters: 13870/50000 || Lr: 0.014930 || Task Loss: 0.1415 || KD Loss: 0.0421|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:21:46 || Estimated Time: 1 day, 10:48:29
2023-07-20 02:42:19,418 semantic_segmentation INFO: Iters: 13880/50000 || Lr: 0.014926 || Task Loss: 0.1578 || KD Loss: 0.0480|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1116|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:22:23 || Estimated Time: 1 day, 10:47:59
2023-07-20 02:42:55,996 semantic_segmentation INFO: Iters: 13890/50000 || Lr: 0.014922 || Task Loss: 0.1409 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1110|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:22:59 || Estimated Time: 1 day, 10:47:29
2023-07-20 02:43:32,100 semantic_segmentation INFO: Iters: 13900/50000 || Lr: 0.014918 || Task Loss: 0.1351 || KD Loss: 0.0455|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1108|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:23:35 || Estimated Time: 1 day, 10:46:58
2023-07-20 02:44:08,861 semantic_segmentation INFO: Iters: 13910/50000 || Lr: 0.014915 || Task Loss: 0.1322 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:24:12 || Estimated Time: 1 day, 10:46:29
2023-07-20 02:44:45,355 semantic_segmentation INFO: Iters: 13920/50000 || Lr: 0.014911 || Task Loss: 0.1336 || KD Loss: 0.0446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:24:48 || Estimated Time: 1 day, 10:45:59
2023-07-20 02:45:21,498 semantic_segmentation INFO: Iters: 13930/50000 || Lr: 0.014907 || Task Loss: 0.1585 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:25:25 || Estimated Time: 1 day, 10:45:28
2023-07-20 02:45:57,660 semantic_segmentation INFO: Iters: 13940/50000 || Lr: 0.014904 || Task Loss: 0.1495 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:26:01 || Estimated Time: 1 day, 10:44:57
2023-07-20 02:46:33,855 semantic_segmentation INFO: Iters: 13950/50000 || Lr: 0.014900 || Task Loss: 0.1318 || KD Loss: 0.0476|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1208|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:26:37 || Estimated Time: 1 day, 10:44:27
2023-07-20 02:47:10,587 semantic_segmentation INFO: Iters: 13960/50000 || Lr: 0.014896 || Task Loss: 0.1099 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1312|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:27:14 || Estimated Time: 1 day, 10:43:57
2023-07-20 02:47:47,649 semantic_segmentation INFO: Iters: 13970/50000 || Lr: 0.014892 || Task Loss: 0.1402 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:27:51 || Estimated Time: 1 day, 10:43:28
2023-07-20 02:48:24,007 semantic_segmentation INFO: Iters: 13980/50000 || Lr: 0.014889 || Task Loss: 0.1254 || KD Loss: 0.0399|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:28:27 || Estimated Time: 1 day, 10:42:58
2023-07-20 02:49:00,259 semantic_segmentation INFO: Iters: 13990/50000 || Lr: 0.014885 || Task Loss: 0.1406 || KD Loss: 0.0445|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1152|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:29:03 || Estimated Time: 1 day, 10:42:27
2023-07-20 02:49:36,973 semantic_segmentation INFO: Iters: 14000/50000 || Lr: 0.014881 || Task Loss: 0.1218 || KD Loss: 0.0443|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:29:40 || Estimated Time: 1 day, 10:41:58
2023-07-20 02:50:13,423 semantic_segmentation INFO: Iters: 14010/50000 || Lr: 0.014878 || Task Loss: 0.1290 || KD Loss: 0.0445|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1196|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:30:17 || Estimated Time: 1 day, 10:41:28
2023-07-20 02:50:50,192 semantic_segmentation INFO: Iters: 14020/50000 || Lr: 0.014874 || Task Loss: 0.1203 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:30:53 || Estimated Time: 1 day, 10:40:58
2023-07-20 02:51:26,930 semantic_segmentation INFO: Iters: 14030/50000 || Lr: 0.014870 || Task Loss: 0.1625 || KD Loss: 0.0426|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:31:30 || Estimated Time: 1 day, 10:40:29
2023-07-20 02:52:03,267 semantic_segmentation INFO: Iters: 14040/50000 || Lr: 0.014866 || Task Loss: 0.1395 || KD Loss: 0.0416|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:32:06 || Estimated Time: 1 day, 10:39:58
2023-07-20 02:52:39,235 semantic_segmentation INFO: Iters: 14050/50000 || Lr: 0.014863 || Task Loss: 0.1638 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:32:42 || Estimated Time: 1 day, 10:39:27
2023-07-20 02:53:15,772 semantic_segmentation INFO: Iters: 14060/50000 || Lr: 0.014859 || Task Loss: 0.1250 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1135|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:33:19 || Estimated Time: 1 day, 10:38:57
2023-07-20 02:53:52,238 semantic_segmentation INFO: Iters: 14070/50000 || Lr: 0.014855 || Task Loss: 0.1290 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1182|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:33:55 || Estimated Time: 1 day, 10:38:26
2023-07-20 02:54:28,965 semantic_segmentation INFO: Iters: 14080/50000 || Lr: 0.014852 || Task Loss: 0.1816 || KD Loss: 0.0541|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:34:32 || Estimated Time: 1 day, 10:37:57
2023-07-20 02:55:05,835 semantic_segmentation INFO: Iters: 14090/50000 || Lr: 0.014848 || Task Loss: 0.1579 || KD Loss: 0.0504|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1120|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:35:09 || Estimated Time: 1 day, 10:37:28
2023-07-20 02:55:42,052 semantic_segmentation INFO: Iters: 14100/50000 || Lr: 0.014844 || Task Loss: 0.1413 || KD Loss: 0.0452|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:35:45 || Estimated Time: 1 day, 10:36:57
2023-07-20 02:56:18,751 semantic_segmentation INFO: Iters: 14110/50000 || Lr: 0.014840 || Task Loss: 0.1513 || KD Loss: 0.0566|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1225|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:36:22 || Estimated Time: 1 day, 10:36:27
2023-07-20 02:56:54,947 semantic_segmentation INFO: Iters: 14120/50000 || Lr: 0.014837 || Task Loss: 0.1261 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1076|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:36:58 || Estimated Time: 1 day, 10:35:56
2023-07-20 02:57:31,442 semantic_segmentation INFO: Iters: 14130/50000 || Lr: 0.014833 || Task Loss: 0.1237 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:37:35 || Estimated Time: 1 day, 10:35:26
2023-07-20 02:58:08,172 semantic_segmentation INFO: Iters: 14140/50000 || Lr: 0.014829 || Task Loss: 0.1524 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:38:11 || Estimated Time: 1 day, 10:34:56
2023-07-20 02:58:44,429 semantic_segmentation INFO: Iters: 14150/50000 || Lr: 0.014825 || Task Loss: 0.1272 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1108|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:38:48 || Estimated Time: 1 day, 10:34:26
2023-07-20 02:59:21,091 semantic_segmentation INFO: Iters: 14160/50000 || Lr: 0.014822 || Task Loss: 0.1243 || KD Loss: 0.0479|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1239|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:39:24 || Estimated Time: 1 day, 10:33:56
2023-07-20 02:59:57,754 semantic_segmentation INFO: Iters: 14170/50000 || Lr: 0.014818 || Task Loss: 0.1408 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:40:01 || Estimated Time: 1 day, 10:33:26
2023-07-20 03:00:34,210 semantic_segmentation INFO: Iters: 14180/50000 || Lr: 0.014814 || Task Loss: 0.1201 || KD Loss: 0.0468|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1212|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:40:37 || Estimated Time: 1 day, 10:32:56
2023-07-20 03:01:11,035 semantic_segmentation INFO: Iters: 14190/50000 || Lr: 0.014811 || Task Loss: 0.1467 || KD Loss: 0.0419|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:41:14 || Estimated Time: 1 day, 10:32:26
2023-07-20 03:01:47,125 semantic_segmentation INFO: Iters: 14200/50000 || Lr: 0.014807 || Task Loss: 0.1264 || KD Loss: 0.0435|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:41:50 || Estimated Time: 1 day, 10:31:55
2023-07-20 03:02:23,705 semantic_segmentation INFO: Iters: 14210/50000 || Lr: 0.014803 || Task Loss: 0.1253 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1101|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:42:27 || Estimated Time: 1 day, 10:31:25
2023-07-20 03:03:00,469 semantic_segmentation INFO: Iters: 14220/50000 || Lr: 0.014799 || Task Loss: 0.1373 || KD Loss: 0.0388|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:43:04 || Estimated Time: 1 day, 10:30:55
2023-07-20 03:03:36,849 semantic_segmentation INFO: Iters: 14230/50000 || Lr: 0.014796 || Task Loss: 0.1371 || KD Loss: 0.0467|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1155|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:43:40 || Estimated Time: 1 day, 10:30:24
2023-07-20 03:04:13,419 semantic_segmentation INFO: Iters: 14240/50000 || Lr: 0.014792 || Task Loss: 0.1222 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1151|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:44:17 || Estimated Time: 1 day, 10:29:54
2023-07-20 03:04:49,441 semantic_segmentation INFO: Iters: 14250/50000 || Lr: 0.014788 || Task Loss: 0.1208 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:44:53 || Estimated Time: 1 day, 10:29:23
2023-07-20 03:05:26,029 semantic_segmentation INFO: Iters: 14260/50000 || Lr: 0.014785 || Task Loss: 0.1550 || KD Loss: 0.0399|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:45:29 || Estimated Time: 1 day, 10:28:53
2023-07-20 03:06:02,483 semantic_segmentation INFO: Iters: 14270/50000 || Lr: 0.014781 || Task Loss: 0.1253 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:46:06 || Estimated Time: 1 day, 10:28:23
2023-07-20 03:06:38,758 semantic_segmentation INFO: Iters: 14280/50000 || Lr: 0.014777 || Task Loss: 0.1319 || KD Loss: 0.0414|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:46:42 || Estimated Time: 1 day, 10:27:52
2023-07-20 03:07:15,096 semantic_segmentation INFO: Iters: 14290/50000 || Lr: 0.014773 || Task Loss: 0.1294 || KD Loss: 0.0428|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:47:18 || Estimated Time: 1 day, 10:27:21
2023-07-20 03:07:51,702 semantic_segmentation INFO: Iters: 14300/50000 || Lr: 0.014770 || Task Loss: 0.1156 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:47:55 || Estimated Time: 1 day, 10:26:51
2023-07-20 03:08:28,257 semantic_segmentation INFO: Iters: 14310/50000 || Lr: 0.014766 || Task Loss: 0.1443 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:48:31 || Estimated Time: 1 day, 10:26:21
2023-07-20 03:09:04,787 semantic_segmentation INFO: Iters: 14320/50000 || Lr: 0.014762 || Task Loss: 0.1178 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:49:08 || Estimated Time: 1 day, 10:25:50
2023-07-20 03:09:41,466 semantic_segmentation INFO: Iters: 14330/50000 || Lr: 0.014758 || Task Loss: 0.1311 || KD Loss: 0.0438|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1162|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:49:45 || Estimated Time: 1 day, 10:25:21
2023-07-20 03:10:18,089 semantic_segmentation INFO: Iters: 14340/50000 || Lr: 0.014755 || Task Loss: 0.1462 || KD Loss: 0.0431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:50:21 || Estimated Time: 1 day, 10:24:51
2023-07-20 03:10:54,783 semantic_segmentation INFO: Iters: 14350/50000 || Lr: 0.014751 || Task Loss: 0.1169 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1094|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:50:58 || Estimated Time: 1 day, 10:24:21
2023-07-20 03:11:31,572 semantic_segmentation INFO: Iters: 14360/50000 || Lr: 0.014747 || Task Loss: 0.1264 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:51:35 || Estimated Time: 1 day, 10:23:51
2023-07-20 03:12:08,125 semantic_segmentation INFO: Iters: 14370/50000 || Lr: 0.014744 || Task Loss: 0.1388 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:52:11 || Estimated Time: 1 day, 10:23:21
2023-07-20 03:12:44,563 semantic_segmentation INFO: Iters: 14380/50000 || Lr: 0.014740 || Task Loss: 0.1608 || KD Loss: 0.0512|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1155|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:52:48 || Estimated Time: 1 day, 10:22:50
2023-07-20 03:13:20,856 semantic_segmentation INFO: Iters: 14390/50000 || Lr: 0.014736 || Task Loss: 0.1327 || KD Loss: 0.0376|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:53:24 || Estimated Time: 1 day, 10:22:19
2023-07-20 03:13:57,396 semantic_segmentation INFO: Iters: 14400/50000 || Lr: 0.014732 || Task Loss: 0.1220 || KD Loss: 0.0477|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1243|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:54:00 || Estimated Time: 1 day, 10:21:49
2023-07-20 03:13:57,464 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 03:13:57,832 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.958, mIoU: 0.687
2023-07-20 03:13:57,852 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 03:13:57,866 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.959, mIoU: 0.696
2023-07-20 03:13:57,879 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.957, mIoU: 0.688
2023-07-20 03:13:57,893 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.955, mIoU: 0.679
2023-07-20 03:13:57,906 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.954, mIoU: 0.676
2023-07-20 03:13:57,920 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.955, mIoU: 0.676
2023-07-20 03:13:57,933 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.955, mIoU: 0.676
2023-07-20 03:13:57,947 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.955, mIoU: 0.677
2023-07-20 03:13:57,960 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.955, mIoU: 0.679
2023-07-20 03:13:57,974 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.955, mIoU: 0.680
2023-07-20 03:13:57,987 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 03:13:58,001 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 03:13:58,015 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 03:13:58,029 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 03:13:58,043 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 03:13:58,057 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 03:13:58,071 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 03:13:58,085 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 03:13:58,099 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 03:13:58,113 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 03:13:58,127 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.951, mIoU: 0.679
2023-07-20 03:13:58,141 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.951, mIoU: 0.678
2023-07-20 03:13:58,156 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.950, mIoU: 0.676
2023-07-20 03:13:58,170 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.950, mIoU: 0.675
2023-07-20 03:13:58,185 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.950, mIoU: 0.675
2023-07-20 03:13:58,201 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.950, mIoU: 0.675
2023-07-20 03:13:58,216 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.950, mIoU: 0.675
2023-07-20 03:13:58,231 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.951, mIoU: 0.677
2023-07-20 03:13:58,247 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.951, mIoU: 0.678
2023-07-20 03:13:58,262 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.951, mIoU: 0.679
2023-07-20 03:13:58,278 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.951, mIoU: 0.680
2023-07-20 03:13:58,292 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.951, mIoU: 0.681
2023-07-20 03:13:58,307 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.951, mIoU: 0.682
2023-07-20 03:13:58,322 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.951, mIoU: 0.683
2023-07-20 03:13:58,336 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.683
2023-07-20 03:13:58,351 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.684
2023-07-20 03:13:58,365 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.685
2023-07-20 03:13:58,380 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.686
2023-07-20 03:13:58,394 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.687
2023-07-20 03:13:58,408 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-20 03:13:58,423 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-20 03:13:58,437 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-20 03:13:58,452 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.950, mIoU: 0.694
2023-07-20 03:13:58,466 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.694
2023-07-20 03:13:58,481 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.696
2023-07-20 03:13:58,495 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 03:13:58,510 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.698
2023-07-20 03:13:58,524 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.699
2023-07-20 03:13:58,539 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.699
2023-07-20 03:13:58,554 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.948, mIoU: 0.699
2023-07-20 03:13:58,568 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.699
2023-07-20 03:13:58,583 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.699
2023-07-20 03:13:58,598 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 03:13:58,612 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 03:13:58,627 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.700
2023-07-20 03:13:58,641 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 03:13:58,656 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 03:13:58,670 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.701
2023-07-20 03:13:58,685 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.945, mIoU: 0.701
2023-07-20 03:13:58,700 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.702
2023-07-20 03:13:58,714 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.703
2023-07-20 03:13:58,729 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.944, mIoU: 0.703
2023-07-20 03:13:58,744 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.704
2023-07-20 03:13:58,758 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.943, mIoU: 0.705
2023-07-20 03:13:58,773 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.705
2023-07-20 03:13:58,787 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.942, mIoU: 0.706
2023-07-20 03:13:58,802 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.707
2023-07-20 03:13:58,816 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.941, mIoU: 0.708
2023-07-20 03:13:58,831 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.709
2023-07-20 03:13:58,845 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.940, mIoU: 0.709
2023-07-20 03:13:58,860 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.710
2023-07-20 03:13:58,875 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-20 03:13:58,889 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-20 03:13:58,904 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.938, mIoU: 0.708
2023-07-20 03:13:58,918 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.938, mIoU: 0.707
2023-07-20 03:13:58,933 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.937, mIoU: 0.707
2023-07-20 03:13:58,948 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.706
2023-07-20 03:13:58,962 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 03:13:58,977 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-20 03:13:58,992 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 03:13:59,006 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 03:13:59,021 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 03:13:59,036 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 03:13:59,051 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.933, mIoU: 0.699
2023-07-20 03:13:59,065 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.933, mIoU: 0.697
2023-07-20 03:13:59,080 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.933, mIoU: 0.696
2023-07-20 03:13:59,094 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.932, mIoU: 0.694
2023-07-20 03:13:59,109 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.932, mIoU: 0.691
2023-07-20 03:13:59,123 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.932, mIoU: 0.690
2023-07-20 03:13:59,137 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 03:13:59,151 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 03:13:59,165 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 03:13:59,180 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 03:13:59,194 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.933, mIoU: 0.689
2023-07-20 03:13:59,208 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 03:13:59,223 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 03:13:59,238 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 03:13:59,253 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 03:13:59,268 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.933, mIoU: 0.686
2023-07-20 03:13:59,283 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.933, mIoU: 0.685
2023-07-20 03:14:35,475 semantic_segmentation INFO: Iters: 14410/50000 || Lr: 0.014729 || Task Loss: 0.1224 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:54:39 || Estimated Time: 1 day, 10:21:23
2023-07-20 03:15:12,348 semantic_segmentation INFO: Iters: 14420/50000 || Lr: 0.014725 || Task Loss: 0.1401 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:55:15 || Estimated Time: 1 day, 10:20:53
2023-07-20 03:15:48,821 semantic_segmentation INFO: Iters: 14430/50000 || Lr: 0.014721 || Task Loss: 0.1352 || KD Loss: 0.0442|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:55:52 || Estimated Time: 1 day, 10:20:22
2023-07-20 03:16:25,187 semantic_segmentation INFO: Iters: 14440/50000 || Lr: 0.014717 || Task Loss: 0.1319 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:56:28 || Estimated Time: 1 day, 10:19:51
2023-07-20 03:17:01,957 semantic_segmentation INFO: Iters: 14450/50000 || Lr: 0.014714 || Task Loss: 0.1465 || KD Loss: 0.0428|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:57:05 || Estimated Time: 1 day, 10:19:22
2023-07-20 03:17:38,621 semantic_segmentation INFO: Iters: 14460/50000 || Lr: 0.014710 || Task Loss: 0.1253 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1122|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:57:42 || Estimated Time: 1 day, 10:18:52
2023-07-20 03:18:15,205 semantic_segmentation INFO: Iters: 14470/50000 || Lr: 0.014706 || Task Loss: 0.1326 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:58:18 || Estimated Time: 1 day, 10:18:21
2023-07-20 03:18:51,490 semantic_segmentation INFO: Iters: 14480/50000 || Lr: 0.014703 || Task Loss: 0.1469 || KD Loss: 0.0435|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:58:55 || Estimated Time: 1 day, 10:17:50
2023-07-20 03:19:28,264 semantic_segmentation INFO: Iters: 14490/50000 || Lr: 0.014699 || Task Loss: 0.1203 || KD Loss: 0.0439|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:59:31 || Estimated Time: 1 day, 10:17:21
2023-07-20 03:20:04,988 semantic_segmentation INFO: Iters: 14500/50000 || Lr: 0.014695 || Task Loss: 0.1264 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:00:08 || Estimated Time: 1 day, 10:16:51
2023-07-20 03:20:41,196 semantic_segmentation INFO: Iters: 14510/50000 || Lr: 0.014691 || Task Loss: 0.1361 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1202|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:00:44 || Estimated Time: 1 day, 10:16:19
2023-07-20 03:21:17,825 semantic_segmentation INFO: Iters: 14520/50000 || Lr: 0.014688 || Task Loss: 0.1148 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1147|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:01:21 || Estimated Time: 1 day, 10:15:49
2023-07-20 03:21:54,614 semantic_segmentation INFO: Iters: 14530/50000 || Lr: 0.014684 || Task Loss: 0.1332 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:01:58 || Estimated Time: 1 day, 10:15:19
2023-07-20 03:22:31,200 semantic_segmentation INFO: Iters: 14540/50000 || Lr: 0.014680 || Task Loss: 0.1273 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1162|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:02:34 || Estimated Time: 1 day, 10:14:49
2023-07-20 03:23:07,700 semantic_segmentation INFO: Iters: 14550/50000 || Lr: 0.014677 || Task Loss: 0.1638 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0831|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:03:11 || Estimated Time: 1 day, 10:14:18
2023-07-20 03:23:44,220 semantic_segmentation INFO: Iters: 14560/50000 || Lr: 0.014673 || Task Loss: 0.1537 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:03:47 || Estimated Time: 1 day, 10:13:48
2023-07-20 03:24:20,692 semantic_segmentation INFO: Iters: 14570/50000 || Lr: 0.014669 || Task Loss: 0.1376 || KD Loss: 0.0388|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:04:24 || Estimated Time: 1 day, 10:13:17
2023-07-20 03:24:57,283 semantic_segmentation INFO: Iters: 14580/50000 || Lr: 0.014665 || Task Loss: 0.1278 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:05:00 || Estimated Time: 1 day, 10:12:47
2023-07-20 03:25:33,588 semantic_segmentation INFO: Iters: 14590/50000 || Lr: 0.014662 || Task Loss: 0.1471 || KD Loss: 0.0487|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:05:37 || Estimated Time: 1 day, 10:12:16
2023-07-20 03:26:10,226 semantic_segmentation INFO: Iters: 14600/50000 || Lr: 0.014658 || Task Loss: 0.1487 || KD Loss: 0.0428|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:06:13 || Estimated Time: 1 day, 10:11:45
2023-07-20 03:26:46,870 semantic_segmentation INFO: Iters: 14610/50000 || Lr: 0.014654 || Task Loss: 0.1350 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:06:50 || Estimated Time: 1 day, 10:11:15
2023-07-20 03:27:23,245 semantic_segmentation INFO: Iters: 14620/50000 || Lr: 0.014650 || Task Loss: 0.1531 || KD Loss: 0.0463|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:07:26 || Estimated Time: 1 day, 10:10:44
2023-07-20 03:27:59,665 semantic_segmentation INFO: Iters: 14630/50000 || Lr: 0.014647 || Task Loss: 0.1265 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:08:03 || Estimated Time: 1 day, 10:10:14
2023-07-20 03:28:36,202 semantic_segmentation INFO: Iters: 14640/50000 || Lr: 0.014643 || Task Loss: 0.1403 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:08:39 || Estimated Time: 1 day, 10:09:43
2023-07-20 03:29:12,702 semantic_segmentation INFO: Iters: 14650/50000 || Lr: 0.014639 || Task Loss: 0.1597 || KD Loss: 0.0421|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:09:16 || Estimated Time: 1 day, 10:09:13
2023-07-20 03:29:48,862 semantic_segmentation INFO: Iters: 14660/50000 || Lr: 0.014636 || Task Loss: 0.1442 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:09:52 || Estimated Time: 1 day, 10:08:41
2023-07-20 03:30:25,635 semantic_segmentation INFO: Iters: 14670/50000 || Lr: 0.014632 || Task Loss: 0.1434 || KD Loss: 0.0444|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:10:29 || Estimated Time: 1 day, 10:08:11
2023-07-20 03:31:02,107 semantic_segmentation INFO: Iters: 14680/50000 || Lr: 0.014628 || Task Loss: 0.1225 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:11:05 || Estimated Time: 1 day, 10:07:40
2023-07-20 03:31:38,440 semantic_segmentation INFO: Iters: 14690/50000 || Lr: 0.014624 || Task Loss: 0.1461 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:11:42 || Estimated Time: 1 day, 10:07:09
2023-07-20 03:32:15,086 semantic_segmentation INFO: Iters: 14700/50000 || Lr: 0.014621 || Task Loss: 0.1397 || KD Loss: 0.0498|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1233|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:12:18 || Estimated Time: 1 day, 10:06:39
2023-07-20 03:32:51,355 semantic_segmentation INFO: Iters: 14710/50000 || Lr: 0.014617 || Task Loss: 0.1505 || KD Loss: 0.0433|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:12:54 || Estimated Time: 1 day, 10:06:08
2023-07-20 03:33:28,203 semantic_segmentation INFO: Iters: 14720/50000 || Lr: 0.014613 || Task Loss: 0.1276 || KD Loss: 0.0449|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1221|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:13:31 || Estimated Time: 1 day, 10:05:38
2023-07-20 03:34:04,544 semantic_segmentation INFO: Iters: 14730/50000 || Lr: 0.014609 || Task Loss: 0.1408 || KD Loss: 0.0419|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:14:08 || Estimated Time: 1 day, 10:05:07
2023-07-20 03:34:41,366 semantic_segmentation INFO: Iters: 14740/50000 || Lr: 0.014606 || Task Loss: 0.1277 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:14:44 || Estimated Time: 1 day, 10:04:37
2023-07-20 03:35:17,975 semantic_segmentation INFO: Iters: 14750/50000 || Lr: 0.014602 || Task Loss: 0.1366 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:15:21 || Estimated Time: 1 day, 10:04:06
2023-07-20 03:35:54,247 semantic_segmentation INFO: Iters: 14760/50000 || Lr: 0.014598 || Task Loss: 0.1267 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1156|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:15:57 || Estimated Time: 1 day, 10:03:35
2023-07-20 03:36:30,675 semantic_segmentation INFO: Iters: 14770/50000 || Lr: 0.014595 || Task Loss: 0.1537 || KD Loss: 0.0902|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1439|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:16:34 || Estimated Time: 1 day, 10:03:04
2023-07-20 03:37:07,351 semantic_segmentation INFO: Iters: 14780/50000 || Lr: 0.014591 || Task Loss: 0.1441 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:17:10 || Estimated Time: 1 day, 10:02:34
2023-07-20 03:37:43,598 semantic_segmentation INFO: Iters: 14790/50000 || Lr: 0.014587 || Task Loss: 0.1520 || KD Loss: 0.0477|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1146|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:17:47 || Estimated Time: 1 day, 10:02:02
2023-07-20 03:38:20,133 semantic_segmentation INFO: Iters: 14800/50000 || Lr: 0.014583 || Task Loss: 0.1375 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:18:23 || Estimated Time: 1 day, 10:01:32
2023-07-20 03:38:57,145 semantic_segmentation INFO: Iters: 14810/50000 || Lr: 0.014580 || Task Loss: 0.1381 || KD Loss: 0.0418|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:19:00 || Estimated Time: 1 day, 10:01:02
2023-07-20 03:39:33,318 semantic_segmentation INFO: Iters: 14820/50000 || Lr: 0.014576 || Task Loss: 0.1243 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1140|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:19:36 || Estimated Time: 1 day, 10:00:31
2023-07-20 03:40:10,291 semantic_segmentation INFO: Iters: 14830/50000 || Lr: 0.014572 || Task Loss: 0.1353 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:20:13 || Estimated Time: 1 day, 10:00:01
2023-07-20 03:40:46,472 semantic_segmentation INFO: Iters: 14840/50000 || Lr: 0.014568 || Task Loss: 0.1305 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:20:50 || Estimated Time: 1 day, 9:59:30
2023-07-20 03:41:23,623 semantic_segmentation INFO: Iters: 14850/50000 || Lr: 0.014565 || Task Loss: 0.1447 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:21:27 || Estimated Time: 1 day, 9:59:00
2023-07-20 03:42:00,067 semantic_segmentation INFO: Iters: 14860/50000 || Lr: 0.014561 || Task Loss: 0.1704 || KD Loss: 0.0452|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:22:03 || Estimated Time: 1 day, 9:58:29
2023-07-20 03:42:36,256 semantic_segmentation INFO: Iters: 14870/50000 || Lr: 0.014557 || Task Loss: 0.1280 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1074|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:22:39 || Estimated Time: 1 day, 9:57:58
2023-07-20 03:43:13,256 semantic_segmentation INFO: Iters: 14880/50000 || Lr: 0.014553 || Task Loss: 0.1404 || KD Loss: 0.0418|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:23:16 || Estimated Time: 1 day, 9:57:28
2023-07-20 03:43:49,602 semantic_segmentation INFO: Iters: 14890/50000 || Lr: 0.014550 || Task Loss: 0.1324 || KD Loss: 0.0432|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:23:53 || Estimated Time: 1 day, 9:56:57
2023-07-20 03:44:26,264 semantic_segmentation INFO: Iters: 14900/50000 || Lr: 0.014546 || Task Loss: 0.1258 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1118|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:24:29 || Estimated Time: 1 day, 9:56:27
2023-07-20 03:45:02,650 semantic_segmentation INFO: Iters: 14910/50000 || Lr: 0.014542 || Task Loss: 0.1201 || KD Loss: 0.0374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1110|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:25:06 || Estimated Time: 1 day, 9:55:55
2023-07-20 03:45:39,415 semantic_segmentation INFO: Iters: 14920/50000 || Lr: 0.014539 || Task Loss: 0.1238 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:25:43 || Estimated Time: 1 day, 9:55:25
2023-07-20 03:46:15,934 semantic_segmentation INFO: Iters: 14930/50000 || Lr: 0.014535 || Task Loss: 0.1212 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:26:19 || Estimated Time: 1 day, 9:54:55
2023-07-20 03:46:52,440 semantic_segmentation INFO: Iters: 14940/50000 || Lr: 0.014531 || Task Loss: 0.1363 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:26:56 || Estimated Time: 1 day, 9:54:24
2023-07-20 03:47:29,115 semantic_segmentation INFO: Iters: 14950/50000 || Lr: 0.014527 || Task Loss: 0.1619 || KD Loss: 0.0735|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1342|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:27:32 || Estimated Time: 1 day, 9:53:53
2023-07-20 03:48:05,589 semantic_segmentation INFO: Iters: 14960/50000 || Lr: 0.014524 || Task Loss: 0.1324 || KD Loss: 0.0402|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:28:09 || Estimated Time: 1 day, 9:53:22
2023-07-20 03:48:42,074 semantic_segmentation INFO: Iters: 14970/50000 || Lr: 0.014520 || Task Loss: 0.1344 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:28:45 || Estimated Time: 1 day, 9:52:51
2023-07-20 03:49:18,838 semantic_segmentation INFO: Iters: 14980/50000 || Lr: 0.014516 || Task Loss: 0.1443 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:29:22 || Estimated Time: 1 day, 9:52:21
2023-07-20 03:49:55,358 semantic_segmentation INFO: Iters: 14990/50000 || Lr: 0.014512 || Task Loss: 0.1221 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1136|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:29:58 || Estimated Time: 1 day, 9:51:51
2023-07-20 03:50:32,459 semantic_segmentation INFO: Iters: 15000/50000 || Lr: 0.014509 || Task Loss: 0.1181 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1164|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:30:36 || Estimated Time: 1 day, 9:51:21
2023-07-20 03:51:08,670 semantic_segmentation INFO: Iters: 15010/50000 || Lr: 0.014505 || Task Loss: 0.1299 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:31:12 || Estimated Time: 1 day, 9:50:49
2023-07-20 03:51:45,393 semantic_segmentation INFO: Iters: 15020/50000 || Lr: 0.014501 || Task Loss: 0.1423 || KD Loss: 0.0539|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1343|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:31:48 || Estimated Time: 1 day, 9:50:19
2023-07-20 03:52:22,144 semantic_segmentation INFO: Iters: 15030/50000 || Lr: 0.014498 || Task Loss: 0.1208 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:32:25 || Estimated Time: 1 day, 9:49:48
2023-07-20 03:52:58,406 semantic_segmentation INFO: Iters: 15040/50000 || Lr: 0.014494 || Task Loss: 0.1240 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1185|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:33:02 || Estimated Time: 1 day, 9:49:17
2023-07-20 03:53:35,357 semantic_segmentation INFO: Iters: 15050/50000 || Lr: 0.014490 || Task Loss: 0.1240 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1154|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:33:38 || Estimated Time: 1 day, 9:48:47
2023-07-20 03:54:11,494 semantic_segmentation INFO: Iters: 15060/50000 || Lr: 0.014486 || Task Loss: 0.1257 || KD Loss: 0.0376|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:34:15 || Estimated Time: 1 day, 9:48:15
2023-07-20 03:54:47,798 semantic_segmentation INFO: Iters: 15070/50000 || Lr: 0.014483 || Task Loss: 0.1152 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:34:51 || Estimated Time: 1 day, 9:47:44
2023-07-20 03:55:24,220 semantic_segmentation INFO: Iters: 15080/50000 || Lr: 0.014479 || Task Loss: 0.1347 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1104|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:35:27 || Estimated Time: 1 day, 9:47:13
2023-07-20 03:56:00,382 semantic_segmentation INFO: Iters: 15090/50000 || Lr: 0.014475 || Task Loss: 0.1498 || KD Loss: 0.0453|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1149|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:36:03 || Estimated Time: 1 day, 9:46:41
2023-07-20 03:56:36,677 semantic_segmentation INFO: Iters: 15100/50000 || Lr: 0.014471 || Task Loss: 0.1256 || KD Loss: 0.0416|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1130|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:36:40 || Estimated Time: 1 day, 9:46:09
2023-07-20 03:57:13,382 semantic_segmentation INFO: Iters: 15110/50000 || Lr: 0.014468 || Task Loss: 0.1089 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:37:16 || Estimated Time: 1 day, 9:45:39
2023-07-20 03:57:50,406 semantic_segmentation INFO: Iters: 15120/50000 || Lr: 0.014464 || Task Loss: 0.1262 || KD Loss: 0.0443|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1154|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:37:54 || Estimated Time: 1 day, 9:45:09
2023-07-20 03:58:26,894 semantic_segmentation INFO: Iters: 15130/50000 || Lr: 0.014460 || Task Loss: 0.1303 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:38:30 || Estimated Time: 1 day, 9:44:38
2023-07-20 03:59:03,502 semantic_segmentation INFO: Iters: 15140/50000 || Lr: 0.014456 || Task Loss: 0.1689 || KD Loss: 0.0472|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:39:07 || Estimated Time: 1 day, 9:44:07
2023-07-20 03:59:39,685 semantic_segmentation INFO: Iters: 15150/50000 || Lr: 0.014453 || Task Loss: 0.1397 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:39:43 || Estimated Time: 1 day, 9:43:36
2023-07-20 04:00:16,448 semantic_segmentation INFO: Iters: 15160/50000 || Lr: 0.014449 || Task Loss: 0.1121 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:40:20 || Estimated Time: 1 day, 9:43:05
2023-07-20 04:00:52,545 semantic_segmentation INFO: Iters: 15170/50000 || Lr: 0.014445 || Task Loss: 0.1368 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1114|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:40:56 || Estimated Time: 1 day, 9:42:33
2023-07-20 04:01:29,640 semantic_segmentation INFO: Iters: 15180/50000 || Lr: 0.014442 || Task Loss: 0.1326 || KD Loss: 0.0412|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:41:33 || Estimated Time: 1 day, 9:42:04
2023-07-20 04:02:06,043 semantic_segmentation INFO: Iters: 15190/50000 || Lr: 0.014438 || Task Loss: 0.1419 || KD Loss: 0.0431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:42:09 || Estimated Time: 1 day, 9:41:32
2023-07-20 04:02:42,312 semantic_segmentation INFO: Iters: 15200/50000 || Lr: 0.014434 || Task Loss: 0.1254 || KD Loss: 0.0401|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1097|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:42:45 || Estimated Time: 1 day, 9:41:01
2023-07-20 04:02:42,376 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 04:02:42,736 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.706
2023-07-20 04:02:42,760 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.712
2023-07-20 04:02:42,772 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.709
2023-07-20 04:02:42,786 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 04:02:42,799 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 04:02:42,812 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.957, mIoU: 0.690
2023-07-20 04:02:42,826 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.957, mIoU: 0.688
2023-07-20 04:02:42,839 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.958, mIoU: 0.689
2023-07-20 04:02:42,852 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.957, mIoU: 0.689
2023-07-20 04:02:42,866 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.689
2023-07-20 04:02:42,881 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.957, mIoU: 0.688
2023-07-20 04:02:42,895 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-20 04:02:42,910 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-20 04:02:42,925 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-20 04:02:42,939 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-20 04:02:42,953 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.956, mIoU: 0.687
2023-07-20 04:02:42,968 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-20 04:02:42,982 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 04:02:42,996 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 04:02:43,011 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.953, mIoU: 0.680
2023-07-20 04:02:43,025 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.953, mIoU: 0.680
2023-07-20 04:02:43,039 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.952, mIoU: 0.679
2023-07-20 04:02:43,053 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 04:02:43,068 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.951, mIoU: 0.675
2023-07-20 04:02:43,084 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.951, mIoU: 0.675
2023-07-20 04:02:43,099 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.951, mIoU: 0.675
2023-07-20 04:02:43,114 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.951, mIoU: 0.675
2023-07-20 04:02:43,129 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.951, mIoU: 0.675
2023-07-20 04:02:43,144 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.951, mIoU: 0.677
2023-07-20 04:02:43,159 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 04:02:43,174 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.679
2023-07-20 04:02:43,188 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 04:02:43,203 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 04:02:43,217 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.683
2023-07-20 04:02:43,232 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.685
2023-07-20 04:02:43,247 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.685
2023-07-20 04:02:43,261 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.685
2023-07-20 04:02:43,276 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.687
2023-07-20 04:02:43,291 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-20 04:02:43,306 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.689
2023-07-20 04:02:43,321 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 04:02:43,336 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 04:02:43,351 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.694
2023-07-20 04:02:43,366 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-20 04:02:43,380 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.695
2023-07-20 04:02:43,394 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 04:02:43,409 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.699
2023-07-20 04:02:43,423 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.700
2023-07-20 04:02:43,437 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.701
2023-07-20 04:02:43,452 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.700
2023-07-20 04:02:43,466 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.700
2023-07-20 04:02:43,481 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.700
2023-07-20 04:02:43,495 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.699
2023-07-20 04:02:43,509 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 04:02:43,524 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 04:02:43,538 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 04:02:43,552 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.946, mIoU: 0.698
2023-07-20 04:02:43,567 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.698
2023-07-20 04:02:43,582 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.945, mIoU: 0.699
2023-07-20 04:02:43,596 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.945, mIoU: 0.699
2023-07-20 04:02:43,611 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.699
2023-07-20 04:02:43,626 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.699
2023-07-20 04:02:43,640 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.944, mIoU: 0.699
2023-07-20 04:02:43,655 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.943, mIoU: 0.700
2023-07-20 04:02:43,670 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.943, mIoU: 0.700
2023-07-20 04:02:43,686 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.942, mIoU: 0.699
2023-07-20 04:02:43,702 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.941, mIoU: 0.699
2023-07-20 04:02:43,717 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.941, mIoU: 0.699
2023-07-20 04:02:43,733 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.940, mIoU: 0.699
2023-07-20 04:02:43,748 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.939, mIoU: 0.700
2023-07-20 04:02:43,763 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.939, mIoU: 0.700
2023-07-20 04:02:43,779 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-20 04:02:43,794 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.938, mIoU: 0.699
2023-07-20 04:02:43,809 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 04:02:43,824 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.937, mIoU: 0.698
2023-07-20 04:02:43,839 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-20 04:02:43,855 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.936, mIoU: 0.696
2023-07-20 04:02:43,869 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-20 04:02:43,884 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-20 04:02:43,898 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-20 04:02:43,912 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-20 04:02:43,927 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.933, mIoU: 0.690
2023-07-20 04:02:43,941 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-20 04:02:43,955 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.931, mIoU: 0.686
2023-07-20 04:02:43,970 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.931, mIoU: 0.685
2023-07-20 04:02:43,984 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.931, mIoU: 0.683
2023-07-20 04:02:43,998 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.930, mIoU: 0.682
2023-07-20 04:02:44,012 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.930, mIoU: 0.679
2023-07-20 04:02:44,026 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.930, mIoU: 0.677
2023-07-20 04:02:44,040 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.929, mIoU: 0.676
2023-07-20 04:02:44,054 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.929, mIoU: 0.675
2023-07-20 04:02:44,068 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.929, mIoU: 0.675
2023-07-20 04:02:44,082 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.930, mIoU: 0.675
2023-07-20 04:02:44,097 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.930, mIoU: 0.675
2023-07-20 04:02:44,112 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.930, mIoU: 0.675
2023-07-20 04:02:44,127 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.930, mIoU: 0.675
2023-07-20 04:02:44,141 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.930, mIoU: 0.674
2023-07-20 04:02:44,156 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.931, mIoU: 0.674
2023-07-20 04:02:44,171 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.931, mIoU: 0.674
2023-07-20 04:02:44,186 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.931, mIoU: 0.673
2023-07-20 04:02:44,201 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.931, mIoU: 0.672
2023-07-20 04:03:20,936 semantic_segmentation INFO: Iters: 15210/50000 || Lr: 0.014430 || Task Loss: 0.1428 || KD Loss: 0.0516|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:43:24 || Estimated Time: 1 day, 9:40:34
2023-07-20 04:03:57,359 semantic_segmentation INFO: Iters: 15220/50000 || Lr: 0.014427 || Task Loss: 0.1259 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:44:00 || Estimated Time: 1 day, 9:40:03
2023-07-20 04:04:33,858 semantic_segmentation INFO: Iters: 15230/50000 || Lr: 0.014423 || Task Loss: 0.1230 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:44:37 || Estimated Time: 1 day, 9:39:32
2023-07-20 04:05:10,843 semantic_segmentation INFO: Iters: 15240/50000 || Lr: 0.014419 || Task Loss: 0.1426 || KD Loss: 0.0447|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:45:14 || Estimated Time: 1 day, 9:39:02
2023-07-20 04:05:47,192 semantic_segmentation INFO: Iters: 15250/50000 || Lr: 0.014415 || Task Loss: 0.1421 || KD Loss: 0.0406|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:45:50 || Estimated Time: 1 day, 9:38:31
2023-07-20 04:06:23,721 semantic_segmentation INFO: Iters: 15260/50000 || Lr: 0.014412 || Task Loss: 0.1317 || KD Loss: 0.0472|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1206|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:46:27 || Estimated Time: 1 day, 9:38:00
2023-07-20 04:06:59,951 semantic_segmentation INFO: Iters: 15270/50000 || Lr: 0.014408 || Task Loss: 0.1399 || KD Loss: 0.0456|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1140|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:47:03 || Estimated Time: 1 day, 9:37:28
2023-07-20 04:07:36,407 semantic_segmentation INFO: Iters: 15280/50000 || Lr: 0.014404 || Task Loss: 0.1436 || KD Loss: 0.0393|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:47:40 || Estimated Time: 1 day, 9:36:57
2023-07-20 04:08:12,807 semantic_segmentation INFO: Iters: 15290/50000 || Lr: 0.014400 || Task Loss: 0.1350 || KD Loss: 0.0426|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1166|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:48:16 || Estimated Time: 1 day, 9:36:26
2023-07-20 04:08:49,317 semantic_segmentation INFO: Iters: 15300/50000 || Lr: 0.014397 || Task Loss: 0.1531 || KD Loss: 0.0406|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:48:52 || Estimated Time: 1 day, 9:35:54
2023-07-20 04:09:26,163 semantic_segmentation INFO: Iters: 15310/50000 || Lr: 0.014393 || Task Loss: 0.1428 || KD Loss: 0.0402|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:49:29 || Estimated Time: 1 day, 9:35:24
2023-07-20 04:10:02,274 semantic_segmentation INFO: Iters: 15320/50000 || Lr: 0.014389 || Task Loss: 0.1371 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:50:05 || Estimated Time: 1 day, 9:34:52
2023-07-20 04:10:38,864 semantic_segmentation INFO: Iters: 15330/50000 || Lr: 0.014386 || Task Loss: 0.1325 || KD Loss: 0.0496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1296|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:50:42 || Estimated Time: 1 day, 9:34:21
2023-07-20 04:11:16,265 semantic_segmentation INFO: Iters: 15340/50000 || Lr: 0.014382 || Task Loss: 0.1251 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:51:19 || Estimated Time: 1 day, 9:33:52
2023-07-20 04:11:52,359 semantic_segmentation INFO: Iters: 15350/50000 || Lr: 0.014378 || Task Loss: 0.1557 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:51:55 || Estimated Time: 1 day, 9:33:20
2023-07-20 04:12:28,636 semantic_segmentation INFO: Iters: 15360/50000 || Lr: 0.014374 || Task Loss: 0.1319 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:52:32 || Estimated Time: 1 day, 9:32:48
2023-07-20 04:13:05,123 semantic_segmentation INFO: Iters: 15370/50000 || Lr: 0.014371 || Task Loss: 0.1438 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:53:08 || Estimated Time: 1 day, 9:32:17
2023-07-20 04:13:41,586 semantic_segmentation INFO: Iters: 15380/50000 || Lr: 0.014367 || Task Loss: 0.1184 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1128|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:53:45 || Estimated Time: 1 day, 9:31:46
2023-07-20 04:14:17,953 semantic_segmentation INFO: Iters: 15390/50000 || Lr: 0.014363 || Task Loss: 0.1223 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:54:21 || Estimated Time: 1 day, 9:31:14
2023-07-20 04:14:54,338 semantic_segmentation INFO: Iters: 15400/50000 || Lr: 0.014359 || Task Loss: 0.1385 || KD Loss: 0.0414|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:54:57 || Estimated Time: 1 day, 9:30:43
2023-07-20 04:15:30,875 semantic_segmentation INFO: Iters: 15410/50000 || Lr: 0.014356 || Task Loss: 0.1222 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1145|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:55:34 || Estimated Time: 1 day, 9:30:12
2023-07-20 04:16:07,289 semantic_segmentation INFO: Iters: 15420/50000 || Lr: 0.014352 || Task Loss: 0.1274 || KD Loss: 0.0435|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:56:10 || Estimated Time: 1 day, 9:29:40
2023-07-20 04:16:43,778 semantic_segmentation INFO: Iters: 15430/50000 || Lr: 0.014348 || Task Loss: 0.1534 || KD Loss: 0.0465|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:56:47 || Estimated Time: 1 day, 9:29:09
2023-07-20 04:17:20,468 semantic_segmentation INFO: Iters: 15440/50000 || Lr: 0.014344 || Task Loss: 0.1243 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:57:24 || Estimated Time: 1 day, 9:28:38
2023-07-20 04:17:56,835 semantic_segmentation INFO: Iters: 15450/50000 || Lr: 0.014341 || Task Loss: 0.1250 || KD Loss: 0.0399|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:58:00 || Estimated Time: 1 day, 9:28:07
2023-07-20 04:18:33,104 semantic_segmentation INFO: Iters: 15460/50000 || Lr: 0.014337 || Task Loss: 0.1425 || KD Loss: 0.0460|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1114|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:58:36 || Estimated Time: 1 day, 9:27:35
2023-07-20 04:19:09,600 semantic_segmentation INFO: Iters: 15470/50000 || Lr: 0.014333 || Task Loss: 0.1509 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:59:13 || Estimated Time: 1 day, 9:27:04
2023-07-20 04:19:45,784 semantic_segmentation INFO: Iters: 15480/50000 || Lr: 0.014330 || Task Loss: 0.1280 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 14:59:49 || Estimated Time: 1 day, 9:26:32
2023-07-20 04:20:22,756 semantic_segmentation INFO: Iters: 15490/50000 || Lr: 0.014326 || Task Loss: 0.1461 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:00:26 || Estimated Time: 1 day, 9:26:01
2023-07-20 04:20:59,048 semantic_segmentation INFO: Iters: 15500/50000 || Lr: 0.014322 || Task Loss: 0.1628 || KD Loss: 0.0482|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:01:02 || Estimated Time: 1 day, 9:25:30
2023-07-20 04:21:35,953 semantic_segmentation INFO: Iters: 15510/50000 || Lr: 0.014318 || Task Loss: 0.1296 || KD Loss: 0.0433|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1210|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:01:39 || Estimated Time: 1 day, 9:24:59
2023-07-20 04:22:12,542 semantic_segmentation INFO: Iters: 15520/50000 || Lr: 0.014315 || Task Loss: 0.1250 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:02:16 || Estimated Time: 1 day, 9:24:28
2023-07-20 04:22:48,986 semantic_segmentation INFO: Iters: 15530/50000 || Lr: 0.014311 || Task Loss: 0.1257 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1157|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:02:52 || Estimated Time: 1 day, 9:23:57
2023-07-20 04:23:25,474 semantic_segmentation INFO: Iters: 15540/50000 || Lr: 0.014307 || Task Loss: 0.1382 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:03:29 || Estimated Time: 1 day, 9:23:26
2023-07-20 04:24:01,931 semantic_segmentation INFO: Iters: 15550/50000 || Lr: 0.014303 || Task Loss: 0.1503 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:04:05 || Estimated Time: 1 day, 9:22:54
2023-07-20 04:24:38,162 semantic_segmentation INFO: Iters: 15560/50000 || Lr: 0.014300 || Task Loss: 0.1216 || KD Loss: 0.0434|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:04:41 || Estimated Time: 1 day, 9:22:22
2023-07-20 04:25:15,001 semantic_segmentation INFO: Iters: 15570/50000 || Lr: 0.014296 || Task Loss: 0.1428 || KD Loss: 0.0430|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:05:18 || Estimated Time: 1 day, 9:21:52
2023-07-20 04:25:51,010 semantic_segmentation INFO: Iters: 15580/50000 || Lr: 0.014292 || Task Loss: 0.1511 || KD Loss: 0.0427|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:05:54 || Estimated Time: 1 day, 9:21:20
2023-07-20 04:26:27,749 semantic_segmentation INFO: Iters: 15590/50000 || Lr: 0.014288 || Task Loss: 0.1535 || KD Loss: 0.0479|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:06:31 || Estimated Time: 1 day, 9:20:48
2023-07-20 04:27:04,369 semantic_segmentation INFO: Iters: 15600/50000 || Lr: 0.014285 || Task Loss: 0.1316 || KD Loss: 0.0402|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:07:07 || Estimated Time: 1 day, 9:20:17
2023-07-20 04:27:40,642 semantic_segmentation INFO: Iters: 15610/50000 || Lr: 0.014281 || Task Loss: 0.1581 || KD Loss: 0.0416|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:07:44 || Estimated Time: 1 day, 9:19:46
2023-07-20 04:28:17,499 semantic_segmentation INFO: Iters: 15620/50000 || Lr: 0.014277 || Task Loss: 0.1516 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:08:21 || Estimated Time: 1 day, 9:19:15
2023-07-20 04:28:54,081 semantic_segmentation INFO: Iters: 15630/50000 || Lr: 0.014273 || Task Loss: 0.1181 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:08:57 || Estimated Time: 1 day, 9:18:44
2023-07-20 04:29:30,526 semantic_segmentation INFO: Iters: 15640/50000 || Lr: 0.014270 || Task Loss: 0.1361 || KD Loss: 0.0374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:09:34 || Estimated Time: 1 day, 9:18:12
2023-07-20 04:30:07,224 semantic_segmentation INFO: Iters: 15650/50000 || Lr: 0.014266 || Task Loss: 0.1318 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:10:10 || Estimated Time: 1 day, 9:17:41
2023-07-20 04:30:43,705 semantic_segmentation INFO: Iters: 15660/50000 || Lr: 0.014262 || Task Loss: 0.1417 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:10:47 || Estimated Time: 1 day, 9:17:10
2023-07-20 04:31:20,437 semantic_segmentation INFO: Iters: 15670/50000 || Lr: 0.014259 || Task Loss: 0.1335 || KD Loss: 0.0393|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:11:24 || Estimated Time: 1 day, 9:16:39
2023-07-20 04:31:57,287 semantic_segmentation INFO: Iters: 15680/50000 || Lr: 0.014255 || Task Loss: 0.1268 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1048|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:12:00 || Estimated Time: 1 day, 9:16:08
2023-07-20 04:32:33,437 semantic_segmentation INFO: Iters: 15690/50000 || Lr: 0.014251 || Task Loss: 0.1240 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:12:37 || Estimated Time: 1 day, 9:15:37
2023-07-20 04:33:10,587 semantic_segmentation INFO: Iters: 15700/50000 || Lr: 0.014247 || Task Loss: 0.1490 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:13:14 || Estimated Time: 1 day, 9:15:06
2023-07-20 04:33:46,774 semantic_segmentation INFO: Iters: 15710/50000 || Lr: 0.014244 || Task Loss: 0.1408 || KD Loss: 0.0376|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0866|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:13:50 || Estimated Time: 1 day, 9:14:35
2023-07-20 04:34:23,642 semantic_segmentation INFO: Iters: 15720/50000 || Lr: 0.014240 || Task Loss: 0.1269 || KD Loss: 0.0474|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1183|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:14:27 || Estimated Time: 1 day, 9:14:03
2023-07-20 04:35:00,608 semantic_segmentation INFO: Iters: 15730/50000 || Lr: 0.014236 || Task Loss: 0.1223 || KD Loss: 0.0447|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1074|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:15:04 || Estimated Time: 1 day, 9:13:33
2023-07-20 04:35:36,640 semantic_segmentation INFO: Iters: 15740/50000 || Lr: 0.014232 || Task Loss: 0.1268 || KD Loss: 0.0531|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1252|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:15:40 || Estimated Time: 1 day, 9:13:01
2023-07-20 04:36:13,026 semantic_segmentation INFO: Iters: 15750/50000 || Lr: 0.014229 || Task Loss: 0.1430 || KD Loss: 0.0566|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1205|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:16:16 || Estimated Time: 1 day, 9:12:29
2023-07-20 04:36:49,841 semantic_segmentation INFO: Iters: 15760/50000 || Lr: 0.014225 || Task Loss: 0.1250 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:16:53 || Estimated Time: 1 day, 9:11:58
2023-07-20 04:37:26,803 semantic_segmentation INFO: Iters: 15770/50000 || Lr: 0.014221 || Task Loss: 0.1415 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:17:30 || Estimated Time: 1 day, 9:11:28
2023-07-20 04:38:03,188 semantic_segmentation INFO: Iters: 15780/50000 || Lr: 0.014217 || Task Loss: 0.1255 || KD Loss: 0.0388|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1240|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:18:06 || Estimated Time: 1 day, 9:10:56
2023-07-20 04:38:39,398 semantic_segmentation INFO: Iters: 15790/50000 || Lr: 0.014214 || Task Loss: 0.1249 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:18:43 || Estimated Time: 1 day, 9:10:24
2023-07-20 04:39:15,909 semantic_segmentation INFO: Iters: 15800/50000 || Lr: 0.014210 || Task Loss: 0.1645 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0866|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:19:19 || Estimated Time: 1 day, 9:09:53
2023-07-20 04:39:52,093 semantic_segmentation INFO: Iters: 15810/50000 || Lr: 0.014206 || Task Loss: 0.0991 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:19:55 || Estimated Time: 1 day, 9:09:21
2023-07-20 04:40:28,946 semantic_segmentation INFO: Iters: 15820/50000 || Lr: 0.014202 || Task Loss: 0.1196 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1160|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:20:32 || Estimated Time: 1 day, 9:08:50
2023-07-20 04:41:05,566 semantic_segmentation INFO: Iters: 15830/50000 || Lr: 0.014199 || Task Loss: 0.1334 || KD Loss: 0.0394|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:21:09 || Estimated Time: 1 day, 9:08:19
2023-07-20 04:41:42,859 semantic_segmentation INFO: Iters: 15840/50000 || Lr: 0.014195 || Task Loss: 0.1206 || KD Loss: 0.0399|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:21:46 || Estimated Time: 1 day, 9:07:49
2023-07-20 04:42:19,066 semantic_segmentation INFO: Iters: 15850/50000 || Lr: 0.014191 || Task Loss: 0.1367 || KD Loss: 0.0472|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:22:22 || Estimated Time: 1 day, 9:07:17
2023-07-20 04:42:55,439 semantic_segmentation INFO: Iters: 15860/50000 || Lr: 0.014187 || Task Loss: 0.1102 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1074|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:22:59 || Estimated Time: 1 day, 9:06:45
2023-07-20 04:43:32,486 semantic_segmentation INFO: Iters: 15870/50000 || Lr: 0.014184 || Task Loss: 0.1350 || KD Loss: 0.0482|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1239|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:23:36 || Estimated Time: 1 day, 9:06:15
2023-07-20 04:44:08,540 semantic_segmentation INFO: Iters: 15880/50000 || Lr: 0.014180 || Task Loss: 0.1351 || KD Loss: 0.0402|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1076|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:24:12 || Estimated Time: 1 day, 9:05:42
2023-07-20 04:44:45,406 semantic_segmentation INFO: Iters: 15890/50000 || Lr: 0.014176 || Task Loss: 0.1448 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:24:49 || Estimated Time: 1 day, 9:05:11
2023-07-20 04:45:22,178 semantic_segmentation INFO: Iters: 15900/50000 || Lr: 0.014173 || Task Loss: 0.1704 || KD Loss: 0.0507|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:25:25 || Estimated Time: 1 day, 9:04:40
2023-07-20 04:45:58,869 semantic_segmentation INFO: Iters: 15910/50000 || Lr: 0.014169 || Task Loss: 0.1280 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:26:02 || Estimated Time: 1 day, 9:04:09
2023-07-20 04:46:35,061 semantic_segmentation INFO: Iters: 15920/50000 || Lr: 0.014165 || Task Loss: 0.1382 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:26:38 || Estimated Time: 1 day, 9:03:37
2023-07-20 04:47:11,320 semantic_segmentation INFO: Iters: 15930/50000 || Lr: 0.014161 || Task Loss: 0.1272 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:27:14 || Estimated Time: 1 day, 9:03:05
2023-07-20 04:47:47,849 semantic_segmentation INFO: Iters: 15940/50000 || Lr: 0.014158 || Task Loss: 0.1167 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1109|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:27:51 || Estimated Time: 1 day, 9:02:34
2023-07-20 04:48:24,511 semantic_segmentation INFO: Iters: 15950/50000 || Lr: 0.014154 || Task Loss: 0.1238 || KD Loss: 0.0459|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1108|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:28:28 || Estimated Time: 1 day, 9:02:02
2023-07-20 04:49:01,256 semantic_segmentation INFO: Iters: 15960/50000 || Lr: 0.014150 || Task Loss: 0.1124 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:29:04 || Estimated Time: 1 day, 9:01:31
2023-07-20 04:49:37,631 semantic_segmentation INFO: Iters: 15970/50000 || Lr: 0.014146 || Task Loss: 0.1257 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0918|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:29:41 || Estimated Time: 1 day, 9:00:59
2023-07-20 04:50:13,976 semantic_segmentation INFO: Iters: 15980/50000 || Lr: 0.014143 || Task Loss: 0.1158 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:30:17 || Estimated Time: 1 day, 9:00:28
2023-07-20 04:50:50,894 semantic_segmentation INFO: Iters: 15990/50000 || Lr: 0.014139 || Task Loss: 0.1452 || KD Loss: 0.0435|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1048|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:30:54 || Estimated Time: 1 day, 8:59:57
2023-07-20 04:51:27,915 semantic_segmentation INFO: Iters: 16000/50000 || Lr: 0.014135 || Task Loss: 0.1182 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:31:31 || Estimated Time: 1 day, 8:59:26
2023-07-20 04:51:27,979 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 04:51:28,340 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 04:51:28,368 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-20 04:51:28,382 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-20 04:51:28,395 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-20 04:51:28,409 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-20 04:51:28,423 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.958, mIoU: 0.694
2023-07-20 04:51:28,437 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-20 04:51:28,451 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.958, mIoU: 0.691
2023-07-20 04:51:28,465 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 04:51:28,478 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-20 04:51:28,492 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 04:51:28,506 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 04:51:28,520 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-20 04:51:28,534 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-20 04:51:28,548 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 04:51:28,562 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 04:51:28,575 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-20 04:51:28,589 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-20 04:51:28,603 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 04:51:28,617 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 04:51:28,631 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 04:51:28,644 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 04:51:28,659 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 04:51:28,673 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.951, mIoU: 0.678
2023-07-20 04:51:28,687 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.951, mIoU: 0.678
2023-07-20 04:51:28,701 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.951, mIoU: 0.678
2023-07-20 04:51:28,715 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.951, mIoU: 0.678
2023-07-20 04:51:28,730 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.951, mIoU: 0.678
2023-07-20 04:51:28,744 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.679
2023-07-20 04:51:28,758 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.679
2023-07-20 04:51:28,772 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 04:51:28,787 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 04:51:28,801 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.952, mIoU: 0.683
2023-07-20 04:51:28,815 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.683
2023-07-20 04:51:28,829 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.684
2023-07-20 04:51:28,844 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.684
2023-07-20 04:51:28,859 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.684
2023-07-20 04:51:28,875 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.685
2023-07-20 04:51:28,890 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.686
2023-07-20 04:51:28,905 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.687
2023-07-20 04:51:28,920 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-20 04:51:28,935 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-20 04:51:28,949 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.950, mIoU: 0.691
2023-07-20 04:51:28,964 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.950, mIoU: 0.693
2023-07-20 04:51:28,978 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.949, mIoU: 0.693
2023-07-20 04:51:28,993 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.949, mIoU: 0.695
2023-07-20 04:51:29,007 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.949, mIoU: 0.696
2023-07-20 04:51:29,022 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.949, mIoU: 0.698
2023-07-20 04:51:29,037 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.949, mIoU: 0.699
2023-07-20 04:51:29,051 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.948, mIoU: 0.698
2023-07-20 04:51:29,066 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.948, mIoU: 0.698
2023-07-20 04:51:29,081 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.947, mIoU: 0.698
2023-07-20 04:51:29,095 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.947, mIoU: 0.698
2023-07-20 04:51:29,110 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.946, mIoU: 0.698
2023-07-20 04:51:29,125 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.946, mIoU: 0.698
2023-07-20 04:51:29,139 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.946, mIoU: 0.699
2023-07-20 04:51:29,153 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.945, mIoU: 0.699
2023-07-20 04:51:29,168 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.945, mIoU: 0.699
2023-07-20 04:51:29,182 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.945, mIoU: 0.700
2023-07-20 04:51:29,196 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.944, mIoU: 0.700
2023-07-20 04:51:29,210 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.944, mIoU: 0.700
2023-07-20 04:51:29,225 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.701
2023-07-20 04:51:29,239 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.943, mIoU: 0.702
2023-07-20 04:51:29,254 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.943, mIoU: 0.702
2023-07-20 04:51:29,269 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.942, mIoU: 0.703
2023-07-20 04:51:29,284 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.942, mIoU: 0.703
2023-07-20 04:51:29,299 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.941, mIoU: 0.704
2023-07-20 04:51:29,314 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.941, mIoU: 0.705
2023-07-20 04:51:29,329 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.940, mIoU: 0.705
2023-07-20 04:51:29,345 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.940, mIoU: 0.707
2023-07-20 04:51:29,360 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.939, mIoU: 0.707
2023-07-20 04:51:29,375 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.939, mIoU: 0.707
2023-07-20 04:51:29,390 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.938, mIoU: 0.707
2023-07-20 04:51:29,405 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.938, mIoU: 0.706
2023-07-20 04:51:29,420 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.937, mIoU: 0.706
2023-07-20 04:51:29,435 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.937, mIoU: 0.705
2023-07-20 04:51:29,449 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-20 04:51:29,463 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-20 04:51:29,477 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-20 04:51:29,492 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 04:51:29,506 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 04:51:29,520 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 04:51:29,534 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 04:51:29,548 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 04:51:29,562 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.933, mIoU: 0.698
2023-07-20 04:51:29,576 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.933, mIoU: 0.697
2023-07-20 04:51:29,590 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.933, mIoU: 0.697
2023-07-20 04:51:29,604 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.933, mIoU: 0.696
2023-07-20 04:51:29,617 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.933, mIoU: 0.695
2023-07-20 04:51:29,631 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.933, mIoU: 0.694
2023-07-20 04:51:29,646 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 04:51:29,661 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 04:51:29,675 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 04:51:29,690 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 04:51:29,705 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-20 04:51:29,720 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-20 04:51:29,735 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-20 04:51:29,749 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-20 04:51:29,764 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-20 04:51:29,778 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.934, mIoU: 0.692
2023-07-20 04:51:29,792 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-20 04:52:06,515 semantic_segmentation INFO: Iters: 16010/50000 || Lr: 0.014131 || Task Loss: 0.1203 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1126|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:32:10 || Estimated Time: 1 day, 8:58:59
2023-07-20 04:52:42,905 semantic_segmentation INFO: Iters: 16020/50000 || Lr: 0.014128 || Task Loss: 0.1350 || KD Loss: 0.0447|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:32:46 || Estimated Time: 1 day, 8:58:27
2023-07-20 04:53:19,666 semantic_segmentation INFO: Iters: 16030/50000 || Lr: 0.014124 || Task Loss: 0.1199 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:33:23 || Estimated Time: 1 day, 8:57:56
2023-07-20 04:53:56,047 semantic_segmentation INFO: Iters: 16040/50000 || Lr: 0.014120 || Task Loss: 0.1394 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:33:59 || Estimated Time: 1 day, 8:57:24
2023-07-20 04:54:32,539 semantic_segmentation INFO: Iters: 16050/50000 || Lr: 0.014116 || Task Loss: 0.1382 || KD Loss: 0.0458|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1147|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:34:36 || Estimated Time: 1 day, 8:56:53
2023-07-20 04:55:09,397 semantic_segmentation INFO: Iters: 16060/50000 || Lr: 0.014113 || Task Loss: 0.1222 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:35:12 || Estimated Time: 1 day, 8:56:22
2023-07-20 04:55:46,214 semantic_segmentation INFO: Iters: 16070/50000 || Lr: 0.014109 || Task Loss: 0.1325 || KD Loss: 0.0402|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:35:49 || Estimated Time: 1 day, 8:55:51
2023-07-20 04:56:22,733 semantic_segmentation INFO: Iters: 16080/50000 || Lr: 0.014105 || Task Loss: 0.1385 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:36:26 || Estimated Time: 1 day, 8:55:19
2023-07-20 04:56:59,777 semantic_segmentation INFO: Iters: 16090/50000 || Lr: 0.014101 || Task Loss: 0.1161 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:37:03 || Estimated Time: 1 day, 8:54:49
2023-07-20 04:57:35,942 semantic_segmentation INFO: Iters: 16100/50000 || Lr: 0.014098 || Task Loss: 0.1301 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:37:39 || Estimated Time: 1 day, 8:54:16
2023-07-20 04:58:12,598 semantic_segmentation INFO: Iters: 16110/50000 || Lr: 0.014094 || Task Loss: 0.1258 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:38:16 || Estimated Time: 1 day, 8:53:45
2023-07-20 04:58:48,995 semantic_segmentation INFO: Iters: 16120/50000 || Lr: 0.014090 || Task Loss: 0.1257 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:38:52 || Estimated Time: 1 day, 8:53:13
2023-07-20 04:59:25,884 semantic_segmentation INFO: Iters: 16130/50000 || Lr: 0.014086 || Task Loss: 0.1431 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:39:29 || Estimated Time: 1 day, 8:52:42
2023-07-20 05:00:02,320 semantic_segmentation INFO: Iters: 16140/50000 || Lr: 0.014083 || Task Loss: 0.1079 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:40:05 || Estimated Time: 1 day, 8:52:11
2023-07-20 05:00:39,264 semantic_segmentation INFO: Iters: 16150/50000 || Lr: 0.014079 || Task Loss: 0.1549 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0941|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:40:42 || Estimated Time: 1 day, 8:51:40
2023-07-20 05:01:16,100 semantic_segmentation INFO: Iters: 16160/50000 || Lr: 0.014075 || Task Loss: 0.1315 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:41:19 || Estimated Time: 1 day, 8:51:09
2023-07-20 05:01:52,881 semantic_segmentation INFO: Iters: 16170/50000 || Lr: 0.014071 || Task Loss: 0.1212 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:41:56 || Estimated Time: 1 day, 8:50:38
2023-07-20 05:02:29,433 semantic_segmentation INFO: Iters: 16180/50000 || Lr: 0.014068 || Task Loss: 0.1232 || KD Loss: 0.0464|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1231|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:42:33 || Estimated Time: 1 day, 8:50:06
2023-07-20 05:03:05,881 semantic_segmentation INFO: Iters: 16190/50000 || Lr: 0.014064 || Task Loss: 0.1563 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0836|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:43:09 || Estimated Time: 1 day, 8:49:34
2023-07-20 05:03:42,663 semantic_segmentation INFO: Iters: 16200/50000 || Lr: 0.014060 || Task Loss: 0.1375 || KD Loss: 0.0447|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:43:46 || Estimated Time: 1 day, 8:49:03
2023-07-20 05:04:18,794 semantic_segmentation INFO: Iters: 16210/50000 || Lr: 0.014057 || Task Loss: 0.1277 || KD Loss: 0.0444|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1159|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:44:22 || Estimated Time: 1 day, 8:48:31
2023-07-20 05:04:55,372 semantic_segmentation INFO: Iters: 16220/50000 || Lr: 0.014053 || Task Loss: 0.1432 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:44:58 || Estimated Time: 1 day, 8:47:59
2023-07-20 05:05:32,108 semantic_segmentation INFO: Iters: 16230/50000 || Lr: 0.014049 || Task Loss: 0.1362 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:45:35 || Estimated Time: 1 day, 8:47:28
2023-07-20 05:06:08,574 semantic_segmentation INFO: Iters: 16240/50000 || Lr: 0.014045 || Task Loss: 0.1179 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:46:12 || Estimated Time: 1 day, 8:46:56
2023-07-20 05:06:45,376 semantic_segmentation INFO: Iters: 16250/50000 || Lr: 0.014042 || Task Loss: 0.1309 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:46:48 || Estimated Time: 1 day, 8:46:25
2023-07-20 05:07:21,923 semantic_segmentation INFO: Iters: 16260/50000 || Lr: 0.014038 || Task Loss: 0.1152 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1120|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:47:25 || Estimated Time: 1 day, 8:45:53
2023-07-20 05:07:58,520 semantic_segmentation INFO: Iters: 16270/50000 || Lr: 0.014034 || Task Loss: 0.1198 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:48:02 || Estimated Time: 1 day, 8:45:22
2023-07-20 05:08:35,401 semantic_segmentation INFO: Iters: 16280/50000 || Lr: 0.014030 || Task Loss: 0.1490 || KD Loss: 0.0479|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1110|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:48:39 || Estimated Time: 1 day, 8:44:51
2023-07-20 05:09:11,745 semantic_segmentation INFO: Iters: 16290/50000 || Lr: 0.014027 || Task Loss: 0.1303 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:49:15 || Estimated Time: 1 day, 8:44:18
2023-07-20 05:09:48,277 semantic_segmentation INFO: Iters: 16300/50000 || Lr: 0.014023 || Task Loss: 0.1205 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:49:51 || Estimated Time: 1 day, 8:43:47
2023-07-20 05:10:25,322 semantic_segmentation INFO: Iters: 16310/50000 || Lr: 0.014019 || Task Loss: 0.1222 || KD Loss: 0.0374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:50:28 || Estimated Time: 1 day, 8:43:16
2023-07-20 05:11:01,559 semantic_segmentation INFO: Iters: 16320/50000 || Lr: 0.014015 || Task Loss: 0.1271 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1136|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:51:05 || Estimated Time: 1 day, 8:42:44
2023-07-20 05:11:38,388 semantic_segmentation INFO: Iters: 16330/50000 || Lr: 0.014012 || Task Loss: 0.1608 || KD Loss: 0.0414|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:51:41 || Estimated Time: 1 day, 8:42:13
2023-07-20 05:12:14,553 semantic_segmentation INFO: Iters: 16340/50000 || Lr: 0.014008 || Task Loss: 0.1550 || KD Loss: 0.0431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:52:18 || Estimated Time: 1 day, 8:41:40
2023-07-20 05:12:51,294 semantic_segmentation INFO: Iters: 16350/50000 || Lr: 0.014004 || Task Loss: 0.1558 || KD Loss: 0.0419|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:52:54 || Estimated Time: 1 day, 8:41:09
2023-07-20 05:13:27,916 semantic_segmentation INFO: Iters: 16360/50000 || Lr: 0.014000 || Task Loss: 0.1415 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:53:31 || Estimated Time: 1 day, 8:40:37
2023-07-20 05:14:04,258 semantic_segmentation INFO: Iters: 16370/50000 || Lr: 0.013997 || Task Loss: 0.1377 || KD Loss: 0.0388|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:54:07 || Estimated Time: 1 day, 8:40:05
2023-07-20 05:14:40,705 semantic_segmentation INFO: Iters: 16380/50000 || Lr: 0.013993 || Task Loss: 0.1489 || KD Loss: 0.0433|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1103|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:54:44 || Estimated Time: 1 day, 8:39:33
2023-07-20 05:15:17,034 semantic_segmentation INFO: Iters: 16390/50000 || Lr: 0.013989 || Task Loss: 0.1146 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:55:20 || Estimated Time: 1 day, 8:39:01
2023-07-20 05:15:53,813 semantic_segmentation INFO: Iters: 16400/50000 || Lr: 0.013985 || Task Loss: 0.1224 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:55:57 || Estimated Time: 1 day, 8:38:30
2023-07-20 05:16:30,131 semantic_segmentation INFO: Iters: 16410/50000 || Lr: 0.013982 || Task Loss: 0.1229 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:56:33 || Estimated Time: 1 day, 8:37:57
2023-07-20 05:17:06,780 semantic_segmentation INFO: Iters: 16420/50000 || Lr: 0.013978 || Task Loss: 0.1154 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:57:10 || Estimated Time: 1 day, 8:37:26
2023-07-20 05:17:43,803 semantic_segmentation INFO: Iters: 16430/50000 || Lr: 0.013974 || Task Loss: 0.1388 || KD Loss: 0.0477|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1094|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:57:47 || Estimated Time: 1 day, 8:36:55
2023-07-20 05:18:20,523 semantic_segmentation INFO: Iters: 16440/50000 || Lr: 0.013970 || Task Loss: 0.1345 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:58:24 || Estimated Time: 1 day, 8:36:24
2023-07-20 05:18:57,052 semantic_segmentation INFO: Iters: 16450/50000 || Lr: 0.013967 || Task Loss: 0.1248 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:59:00 || Estimated Time: 1 day, 8:35:52
2023-07-20 05:19:33,622 semantic_segmentation INFO: Iters: 16460/50000 || Lr: 0.013963 || Task Loss: 0.1358 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:59:37 || Estimated Time: 1 day, 8:35:20
2023-07-20 05:20:10,301 semantic_segmentation INFO: Iters: 16470/50000 || Lr: 0.013959 || Task Loss: 0.1441 || KD Loss: 0.0406|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:00:13 || Estimated Time: 1 day, 8:34:49
2023-07-20 05:20:47,092 semantic_segmentation INFO: Iters: 16480/50000 || Lr: 0.013955 || Task Loss: 0.1269 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1061|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:00:50 || Estimated Time: 1 day, 8:34:17
2023-07-20 05:21:23,922 semantic_segmentation INFO: Iters: 16490/50000 || Lr: 0.013952 || Task Loss: 0.1354 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:01:27 || Estimated Time: 1 day, 8:33:46
2023-07-20 05:22:00,931 semantic_segmentation INFO: Iters: 16500/50000 || Lr: 0.013948 || Task Loss: 0.1224 || KD Loss: 0.0427|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1244|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:02:04 || Estimated Time: 1 day, 8:33:15
2023-07-20 05:22:37,055 semantic_segmentation INFO: Iters: 16510/50000 || Lr: 0.013944 || Task Loss: 0.1713 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0880|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:02:40 || Estimated Time: 1 day, 8:32:43
2023-07-20 05:23:13,733 semantic_segmentation INFO: Iters: 16520/50000 || Lr: 0.013940 || Task Loss: 0.1429 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:03:17 || Estimated Time: 1 day, 8:32:11
2023-07-20 05:23:49,953 semantic_segmentation INFO: Iters: 16530/50000 || Lr: 0.013937 || Task Loss: 0.1505 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:03:53 || Estimated Time: 1 day, 8:31:39
2023-07-20 05:24:26,896 semantic_segmentation INFO: Iters: 16540/50000 || Lr: 0.013933 || Task Loss: 0.1500 || KD Loss: 0.0506|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1154|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:04:30 || Estimated Time: 1 day, 8:31:08
2023-07-20 05:25:03,813 semantic_segmentation INFO: Iters: 16550/50000 || Lr: 0.013929 || Task Loss: 0.1311 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:05:07 || Estimated Time: 1 day, 8:30:36
2023-07-20 05:25:40,504 semantic_segmentation INFO: Iters: 16560/50000 || Lr: 0.013925 || Task Loss: 0.1161 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1109|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:05:44 || Estimated Time: 1 day, 8:30:05
2023-07-20 05:26:17,045 semantic_segmentation INFO: Iters: 16570/50000 || Lr: 0.013922 || Task Loss: 0.1273 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:06:20 || Estimated Time: 1 day, 8:29:33
2023-07-20 05:26:53,737 semantic_segmentation INFO: Iters: 16580/50000 || Lr: 0.013918 || Task Loss: 0.1411 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:06:57 || Estimated Time: 1 day, 8:29:01
2023-07-20 05:27:30,741 semantic_segmentation INFO: Iters: 16590/50000 || Lr: 0.013914 || Task Loss: 0.1189 || KD Loss: 0.0425|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1201|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:07:34 || Estimated Time: 1 day, 8:28:30
2023-07-20 05:28:07,079 semantic_segmentation INFO: Iters: 16600/50000 || Lr: 0.013910 || Task Loss: 0.1386 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:08:10 || Estimated Time: 1 day, 8:27:58
2023-07-20 05:28:43,474 semantic_segmentation INFO: Iters: 16610/50000 || Lr: 0.013907 || Task Loss: 0.1417 || KD Loss: 0.0432|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1106|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:08:47 || Estimated Time: 1 day, 8:27:26
2023-07-20 05:29:20,618 semantic_segmentation INFO: Iters: 16620/50000 || Lr: 0.013903 || Task Loss: 0.1234 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:09:24 || Estimated Time: 1 day, 8:26:55
2023-07-20 05:29:57,015 semantic_segmentation INFO: Iters: 16630/50000 || Lr: 0.013899 || Task Loss: 0.1213 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1190|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:10:00 || Estimated Time: 1 day, 8:26:23
2023-07-20 05:30:33,580 semantic_segmentation INFO: Iters: 16640/50000 || Lr: 0.013895 || Task Loss: 0.1227 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:10:37 || Estimated Time: 1 day, 8:25:51
2023-07-20 05:31:10,054 semantic_segmentation INFO: Iters: 16650/50000 || Lr: 0.013892 || Task Loss: 0.1730 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0787|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:11:13 || Estimated Time: 1 day, 8:25:19
2023-07-20 05:31:46,686 semantic_segmentation INFO: Iters: 16660/50000 || Lr: 0.013888 || Task Loss: 0.1294 || KD Loss: 0.0433|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:11:50 || Estimated Time: 1 day, 8:24:47
2023-07-20 05:32:23,199 semantic_segmentation INFO: Iters: 16670/50000 || Lr: 0.013884 || Task Loss: 0.1139 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1084|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:12:26 || Estimated Time: 1 day, 8:24:16
2023-07-20 05:32:59,858 semantic_segmentation INFO: Iters: 16680/50000 || Lr: 0.013880 || Task Loss: 0.1381 || KD Loss: 0.0488|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1245|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:13:03 || Estimated Time: 1 day, 8:23:44
2023-07-20 05:33:37,212 semantic_segmentation INFO: Iters: 16690/50000 || Lr: 0.013877 || Task Loss: 0.1215 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1097|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:13:40 || Estimated Time: 1 day, 8:23:14
2023-07-20 05:34:14,014 semantic_segmentation INFO: Iters: 16700/50000 || Lr: 0.013873 || Task Loss: 0.1220 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:14:17 || Estimated Time: 1 day, 8:22:42
2023-07-20 05:34:50,374 semantic_segmentation INFO: Iters: 16710/50000 || Lr: 0.013869 || Task Loss: 0.1222 || KD Loss: 0.0446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1246|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:14:53 || Estimated Time: 1 day, 8:22:10
2023-07-20 05:35:27,250 semantic_segmentation INFO: Iters: 16720/50000 || Lr: 0.013865 || Task Loss: 0.1207 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:15:30 || Estimated Time: 1 day, 8:21:39
2023-07-20 05:36:03,448 semantic_segmentation INFO: Iters: 16730/50000 || Lr: 0.013862 || Task Loss: 0.1351 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:16:07 || Estimated Time: 1 day, 8:21:06
2023-07-20 05:36:39,932 semantic_segmentation INFO: Iters: 16740/50000 || Lr: 0.013858 || Task Loss: 0.1303 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:16:43 || Estimated Time: 1 day, 8:20:34
2023-07-20 05:37:16,575 semantic_segmentation INFO: Iters: 16750/50000 || Lr: 0.013854 || Task Loss: 0.1644 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0847|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:17:20 || Estimated Time: 1 day, 8:20:02
2023-07-20 05:37:53,165 semantic_segmentation INFO: Iters: 16760/50000 || Lr: 0.013850 || Task Loss: 0.1114 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1126|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:17:56 || Estimated Time: 1 day, 8:19:30
2023-07-20 05:38:29,552 semantic_segmentation INFO: Iters: 16770/50000 || Lr: 0.013847 || Task Loss: 0.1402 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:18:33 || Estimated Time: 1 day, 8:18:58
2023-07-20 05:39:06,156 semantic_segmentation INFO: Iters: 16780/50000 || Lr: 0.013843 || Task Loss: 0.1326 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1076|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:19:09 || Estimated Time: 1 day, 8:18:26
2023-07-20 05:39:42,867 semantic_segmentation INFO: Iters: 16790/50000 || Lr: 0.013839 || Task Loss: 0.1257 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:19:46 || Estimated Time: 1 day, 8:17:54
2023-07-20 05:40:19,122 semantic_segmentation INFO: Iters: 16800/50000 || Lr: 0.013835 || Task Loss: 0.1108 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:20:22 || Estimated Time: 1 day, 8:17:22
2023-07-20 05:40:19,186 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 05:40:19,551 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.959, mIoU: 0.683
2023-07-20 05:40:19,572 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.689
2023-07-20 05:40:19,585 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.691
2023-07-20 05:40:19,597 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.691
2023-07-20 05:40:19,610 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.686
2023-07-20 05:40:19,623 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.685
2023-07-20 05:40:19,637 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.684
2023-07-20 05:40:19,650 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.959, mIoU: 0.684
2023-07-20 05:40:19,663 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.959, mIoU: 0.684
2023-07-20 05:40:19,676 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.959, mIoU: 0.685
2023-07-20 05:40:19,689 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.684
2023-07-20 05:40:19,703 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.683
2023-07-20 05:40:19,716 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.684
2023-07-20 05:40:19,729 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.684
2023-07-20 05:40:19,742 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.684
2023-07-20 05:40:19,756 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.683
2023-07-20 05:40:19,769 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.956, mIoU: 0.682
2023-07-20 05:40:19,783 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.680
2023-07-20 05:40:19,796 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.678
2023-07-20 05:40:19,810 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.676
2023-07-20 05:40:19,823 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.676
2023-07-20 05:40:19,837 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.675
2023-07-20 05:40:19,850 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.953, mIoU: 0.674
2023-07-20 05:40:19,864 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.671
2023-07-20 05:40:19,877 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.672
2023-07-20 05:40:19,891 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.672
2023-07-20 05:40:19,904 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.672
2023-07-20 05:40:19,918 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.952, mIoU: 0.672
2023-07-20 05:40:19,931 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.953, mIoU: 0.674
2023-07-20 05:40:19,945 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.675
2023-07-20 05:40:19,958 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.677
2023-07-20 05:40:19,972 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.678
2023-07-20 05:40:19,986 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.679
2023-07-20 05:40:20,000 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.680
2023-07-20 05:40:20,014 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 05:40:20,028 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 05:40:20,042 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.682
2023-07-20 05:40:20,056 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.683
2023-07-20 05:40:20,070 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.684
2023-07-20 05:40:20,084 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.685
2023-07-20 05:40:20,098 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.687
2023-07-20 05:40:20,111 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.688
2023-07-20 05:40:20,125 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 05:40:20,139 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 05:40:20,153 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 05:40:20,167 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.694
2023-07-20 05:40:20,182 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.696
2023-07-20 05:40:20,197 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.698
2023-07-20 05:40:20,212 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.698
2023-07-20 05:40:20,227 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.698
2023-07-20 05:40:20,242 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.698
2023-07-20 05:40:20,256 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.698
2023-07-20 05:40:20,270 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.698
2023-07-20 05:40:20,285 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.698
2023-07-20 05:40:20,299 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.698
2023-07-20 05:40:20,314 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 05:40:20,328 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 05:40:20,342 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 05:40:20,357 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 05:40:20,372 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 05:40:20,387 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.701
2023-07-20 05:40:20,402 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.702
2023-07-20 05:40:20,418 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.702
2023-07-20 05:40:20,433 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.703
2023-07-20 05:40:20,448 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.704
2023-07-20 05:40:20,463 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.704
2023-07-20 05:40:20,478 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.704
2023-07-20 05:40:20,493 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.705
2023-07-20 05:40:20,508 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.706
2023-07-20 05:40:20,523 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.706
2023-07-20 05:40:20,538 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.706
2023-07-20 05:40:20,553 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.706
2023-07-20 05:40:20,568 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.706
2023-07-20 05:40:20,583 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.705
2023-07-20 05:40:20,598 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.704
2023-07-20 05:40:20,613 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.938, mIoU: 0.704
2023-07-20 05:40:20,628 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.703
2023-07-20 05:40:20,642 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-20 05:40:20,657 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 05:40:20,671 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 05:40:20,685 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 05:40:20,700 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-20 05:40:20,714 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 05:40:20,728 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-20 05:40:20,743 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-20 05:40:20,757 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 05:40:20,772 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-20 05:40:20,787 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.933, mIoU: 0.691
2023-07-20 05:40:20,802 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.933, mIoU: 0.689
2023-07-20 05:40:20,817 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-20 05:40:20,832 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 05:40:20,846 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 05:40:20,861 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 05:40:20,876 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 05:40:20,891 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 05:40:20,906 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 05:40:20,921 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 05:40:20,936 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-20 05:40:20,951 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-20 05:40:20,966 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.934, mIoU: 0.685
2023-07-20 05:40:20,980 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.934, mIoU: 0.685
2023-07-20 05:40:57,505 semantic_segmentation INFO: Iters: 16810/50000 || Lr: 0.013832 || Task Loss: 0.1376 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0941|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:21:01 || Estimated Time: 1 day, 8:16:53
2023-07-20 05:41:34,484 semantic_segmentation INFO: Iters: 16820/50000 || Lr: 0.013828 || Task Loss: 0.1305 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:21:38 || Estimated Time: 1 day, 8:16:22
2023-07-20 05:42:10,415 semantic_segmentation INFO: Iters: 16830/50000 || Lr: 0.013824 || Task Loss: 0.1322 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1142|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:22:14 || Estimated Time: 1 day, 8:15:49
2023-07-20 05:42:47,221 semantic_segmentation INFO: Iters: 16840/50000 || Lr: 0.013820 || Task Loss: 0.1178 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:22:50 || Estimated Time: 1 day, 8:15:18
2023-07-20 05:43:23,949 semantic_segmentation INFO: Iters: 16850/50000 || Lr: 0.013817 || Task Loss: 0.1425 || KD Loss: 0.0401|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:23:27 || Estimated Time: 1 day, 8:14:46
2023-07-20 05:44:00,547 semantic_segmentation INFO: Iters: 16860/50000 || Lr: 0.013813 || Task Loss: 0.1105 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:24:04 || Estimated Time: 1 day, 8:14:14
2023-07-20 05:44:37,008 semantic_segmentation INFO: Iters: 16870/50000 || Lr: 0.013809 || Task Loss: 0.1257 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:24:40 || Estimated Time: 1 day, 8:13:42
2023-07-20 05:45:13,231 semantic_segmentation INFO: Iters: 16880/50000 || Lr: 0.013805 || Task Loss: 0.1249 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:25:16 || Estimated Time: 1 day, 8:13:09
2023-07-20 05:45:50,124 semantic_segmentation INFO: Iters: 16890/50000 || Lr: 0.013802 || Task Loss: 0.1300 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:25:53 || Estimated Time: 1 day, 8:12:38
2023-07-20 05:46:26,869 semantic_segmentation INFO: Iters: 16900/50000 || Lr: 0.013798 || Task Loss: 0.1373 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:26:30 || Estimated Time: 1 day, 8:12:06
2023-07-20 05:47:03,049 semantic_segmentation INFO: Iters: 16910/50000 || Lr: 0.013794 || Task Loss: 0.1075 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:27:06 || Estimated Time: 1 day, 8:11:34
2023-07-20 05:47:39,833 semantic_segmentation INFO: Iters: 16920/50000 || Lr: 0.013790 || Task Loss: 0.1465 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:27:43 || Estimated Time: 1 day, 8:11:02
2023-07-20 05:48:15,943 semantic_segmentation INFO: Iters: 16930/50000 || Lr: 0.013787 || Task Loss: 0.1213 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:28:19 || Estimated Time: 1 day, 8:10:29
2023-07-20 05:48:52,675 semantic_segmentation INFO: Iters: 16940/50000 || Lr: 0.013783 || Task Loss: 0.1414 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:28:56 || Estimated Time: 1 day, 8:09:57
2023-07-20 05:49:29,793 semantic_segmentation INFO: Iters: 16950/50000 || Lr: 0.013779 || Task Loss: 0.1289 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:29:33 || Estimated Time: 1 day, 8:09:26
2023-07-20 05:50:05,979 semantic_segmentation INFO: Iters: 16960/50000 || Lr: 0.013775 || Task Loss: 0.1348 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:30:09 || Estimated Time: 1 day, 8:08:54
2023-07-20 05:50:42,361 semantic_segmentation INFO: Iters: 16970/50000 || Lr: 0.013772 || Task Loss: 0.1192 || KD Loss: 0.0374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:30:45 || Estimated Time: 1 day, 8:08:21
2023-07-20 05:51:19,316 semantic_segmentation INFO: Iters: 16980/50000 || Lr: 0.013768 || Task Loss: 0.1405 || KD Loss: 0.0394|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:31:22 || Estimated Time: 1 day, 8:07:50
2023-07-20 05:51:56,277 semantic_segmentation INFO: Iters: 16990/50000 || Lr: 0.013764 || Task Loss: 0.1375 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:31:59 || Estimated Time: 1 day, 8:07:19
2023-07-20 05:52:32,417 semantic_segmentation INFO: Iters: 17000/50000 || Lr: 0.013760 || Task Loss: 0.1130 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1195|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:32:36 || Estimated Time: 1 day, 8:06:46
2023-07-20 05:53:09,450 semantic_segmentation INFO: Iters: 17010/50000 || Lr: 0.013757 || Task Loss: 0.1699 || KD Loss: 0.0451|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:33:13 || Estimated Time: 1 day, 8:06:15
2023-07-20 05:53:46,162 semantic_segmentation INFO: Iters: 17020/50000 || Lr: 0.013753 || Task Loss: 0.1228 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:33:49 || Estimated Time: 1 day, 8:05:43
2023-07-20 05:54:22,689 semantic_segmentation INFO: Iters: 17030/50000 || Lr: 0.013749 || Task Loss: 0.1316 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:34:26 || Estimated Time: 1 day, 8:05:11
2023-07-20 05:54:59,704 semantic_segmentation INFO: Iters: 17040/50000 || Lr: 0.013745 || Task Loss: 0.1318 || KD Loss: 0.0374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:35:03 || Estimated Time: 1 day, 8:04:39
2023-07-20 05:55:35,952 semantic_segmentation INFO: Iters: 17050/50000 || Lr: 0.013742 || Task Loss: 0.1120 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:35:39 || Estimated Time: 1 day, 8:04:07
2023-07-20 05:56:12,708 semantic_segmentation INFO: Iters: 17060/50000 || Lr: 0.013738 || Task Loss: 0.1280 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:36:16 || Estimated Time: 1 day, 8:03:35
2023-07-20 05:56:49,004 semantic_segmentation INFO: Iters: 17070/50000 || Lr: 0.013734 || Task Loss: 0.1270 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1156|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:36:52 || Estimated Time: 1 day, 8:03:03
2023-07-20 05:57:25,814 semantic_segmentation INFO: Iters: 17080/50000 || Lr: 0.013730 || Task Loss: 0.1255 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:37:29 || Estimated Time: 1 day, 8:02:31
2023-07-20 05:58:02,155 semantic_segmentation INFO: Iters: 17090/50000 || Lr: 0.013727 || Task Loss: 0.1295 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:38:05 || Estimated Time: 1 day, 8:01:58
2023-07-20 05:58:38,960 semantic_segmentation INFO: Iters: 17100/50000 || Lr: 0.013723 || Task Loss: 0.1305 || KD Loss: 0.0393|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:38:42 || Estimated Time: 1 day, 8:01:27
2023-07-20 05:59:15,440 semantic_segmentation INFO: Iters: 17110/50000 || Lr: 0.013719 || Task Loss: 0.1187 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:39:19 || Estimated Time: 1 day, 8:00:54
2023-07-20 05:59:52,618 semantic_segmentation INFO: Iters: 17120/50000 || Lr: 0.013715 || Task Loss: 0.1179 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:39:56 || Estimated Time: 1 day, 8:00:23
2023-07-20 06:00:28,998 semantic_segmentation INFO: Iters: 17130/50000 || Lr: 0.013712 || Task Loss: 0.1366 || KD Loss: 0.0429|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:40:32 || Estimated Time: 1 day, 7:59:51
2023-07-20 06:01:05,762 semantic_segmentation INFO: Iters: 17140/50000 || Lr: 0.013708 || Task Loss: 0.1393 || KD Loss: 0.0406|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:41:09 || Estimated Time: 1 day, 7:59:19
2023-07-20 06:01:42,465 semantic_segmentation INFO: Iters: 17150/50000 || Lr: 0.013704 || Task Loss: 0.1551 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:41:46 || Estimated Time: 1 day, 7:58:47
2023-07-20 06:02:18,683 semantic_segmentation INFO: Iters: 17160/50000 || Lr: 0.013700 || Task Loss: 0.1250 || KD Loss: 0.0488|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1236|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:42:22 || Estimated Time: 1 day, 7:58:15
2023-07-20 06:02:55,970 semantic_segmentation INFO: Iters: 17170/50000 || Lr: 0.013697 || Task Loss: 0.1363 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:42:59 || Estimated Time: 1 day, 7:57:44
2023-07-20 06:03:32,615 semantic_segmentation INFO: Iters: 17180/50000 || Lr: 0.013693 || Task Loss: 0.1327 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:43:36 || Estimated Time: 1 day, 7:57:12
2023-07-20 06:04:09,694 semantic_segmentation INFO: Iters: 17190/50000 || Lr: 0.013689 || Task Loss: 0.1204 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:44:13 || Estimated Time: 1 day, 7:56:41
2023-07-20 06:04:46,438 semantic_segmentation INFO: Iters: 17200/50000 || Lr: 0.013685 || Task Loss: 0.1261 || KD Loss: 0.0415|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:44:50 || Estimated Time: 1 day, 7:56:09
2023-07-20 06:05:22,769 semantic_segmentation INFO: Iters: 17210/50000 || Lr: 0.013682 || Task Loss: 0.1310 || KD Loss: 0.0422|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:45:26 || Estimated Time: 1 day, 7:55:36
2023-07-20 06:05:59,187 semantic_segmentation INFO: Iters: 17220/50000 || Lr: 0.013678 || Task Loss: 0.1393 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1104|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:46:02 || Estimated Time: 1 day, 7:55:04
2023-07-20 06:06:36,031 semantic_segmentation INFO: Iters: 17230/50000 || Lr: 0.013674 || Task Loss: 0.1366 || KD Loss: 0.0441|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:46:39 || Estimated Time: 1 day, 7:54:32
2023-07-20 06:07:12,590 semantic_segmentation INFO: Iters: 17240/50000 || Lr: 0.013670 || Task Loss: 0.1319 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:47:16 || Estimated Time: 1 day, 7:54:00
2023-07-20 06:07:49,386 semantic_segmentation INFO: Iters: 17250/50000 || Lr: 0.013667 || Task Loss: 0.1437 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:47:52 || Estimated Time: 1 day, 7:53:28
2023-07-20 06:08:25,551 semantic_segmentation INFO: Iters: 17260/50000 || Lr: 0.013663 || Task Loss: 0.1377 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:48:29 || Estimated Time: 1 day, 7:52:55
2023-07-20 06:09:02,401 semantic_segmentation INFO: Iters: 17270/50000 || Lr: 0.013659 || Task Loss: 0.1141 || KD Loss: 0.0430|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1126|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:49:06 || Estimated Time: 1 day, 7:52:24
2023-07-20 06:09:38,625 semantic_segmentation INFO: Iters: 17280/50000 || Lr: 0.013655 || Task Loss: 0.1254 || KD Loss: 0.0418|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1168|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:49:42 || Estimated Time: 1 day, 7:51:51
2023-07-20 06:10:14,855 semantic_segmentation INFO: Iters: 17290/50000 || Lr: 0.013652 || Task Loss: 0.1507 || KD Loss: 0.0469|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:50:18 || Estimated Time: 1 day, 7:51:18
2023-07-20 06:10:50,895 semantic_segmentation INFO: Iters: 17300/50000 || Lr: 0.013648 || Task Loss: 0.1429 || KD Loss: 0.0462|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1135|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:50:54 || Estimated Time: 1 day, 7:50:45
2023-07-20 06:11:27,655 semantic_segmentation INFO: Iters: 17310/50000 || Lr: 0.013644 || Task Loss: 0.1236 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:51:31 || Estimated Time: 1 day, 7:50:13
2023-07-20 06:12:04,409 semantic_segmentation INFO: Iters: 17320/50000 || Lr: 0.013640 || Task Loss: 0.1313 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:52:08 || Estimated Time: 1 day, 7:49:41
2023-07-20 06:12:40,616 semantic_segmentation INFO: Iters: 17330/50000 || Lr: 0.013637 || Task Loss: 0.1348 || KD Loss: 0.0454|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1194|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:52:44 || Estimated Time: 1 day, 7:49:08
2023-07-20 06:13:17,372 semantic_segmentation INFO: Iters: 17340/50000 || Lr: 0.013633 || Task Loss: 0.1422 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:53:20 || Estimated Time: 1 day, 7:48:36
2023-07-20 06:13:53,967 semantic_segmentation INFO: Iters: 17350/50000 || Lr: 0.013629 || Task Loss: 0.1215 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:53:57 || Estimated Time: 1 day, 7:48:04
2023-07-20 06:14:30,785 semantic_segmentation INFO: Iters: 17360/50000 || Lr: 0.013625 || Task Loss: 0.1189 || KD Loss: 0.0412|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1235|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:54:34 || Estimated Time: 1 day, 7:47:32
2023-07-20 06:15:07,271 semantic_segmentation INFO: Iters: 17370/50000 || Lr: 0.013621 || Task Loss: 0.1362 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:55:10 || Estimated Time: 1 day, 7:47:00
2023-07-20 06:15:43,549 semantic_segmentation INFO: Iters: 17380/50000 || Lr: 0.013618 || Task Loss: 0.1171 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1097|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:55:47 || Estimated Time: 1 day, 7:46:27
2023-07-20 06:16:20,556 semantic_segmentation INFO: Iters: 17390/50000 || Lr: 0.013614 || Task Loss: 0.1429 || KD Loss: 0.0436|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:56:24 || Estimated Time: 1 day, 7:45:56
2023-07-20 06:16:56,797 semantic_segmentation INFO: Iters: 17400/50000 || Lr: 0.013610 || Task Loss: 0.1308 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:57:00 || Estimated Time: 1 day, 7:45:23
2023-07-20 06:17:33,008 semantic_segmentation INFO: Iters: 17410/50000 || Lr: 0.013606 || Task Loss: 0.1258 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:57:36 || Estimated Time: 1 day, 7:44:50
2023-07-20 06:18:09,926 semantic_segmentation INFO: Iters: 17420/50000 || Lr: 0.013603 || Task Loss: 0.1243 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:58:13 || Estimated Time: 1 day, 7:44:18
2023-07-20 06:18:46,986 semantic_segmentation INFO: Iters: 17430/50000 || Lr: 0.013599 || Task Loss: 0.1326 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:58:50 || Estimated Time: 1 day, 7:43:46
2023-07-20 06:19:23,255 semantic_segmentation INFO: Iters: 17440/50000 || Lr: 0.013595 || Task Loss: 0.1208 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:59:26 || Estimated Time: 1 day, 7:43:14
2023-07-20 06:19:59,922 semantic_segmentation INFO: Iters: 17450/50000 || Lr: 0.013591 || Task Loss: 0.1373 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:00:03 || Estimated Time: 1 day, 7:42:42
2023-07-20 06:20:36,646 semantic_segmentation INFO: Iters: 17460/50000 || Lr: 0.013588 || Task Loss: 0.1399 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:00:40 || Estimated Time: 1 day, 7:42:10
2023-07-20 06:21:13,587 semantic_segmentation INFO: Iters: 17470/50000 || Lr: 0.013584 || Task Loss: 0.1399 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:01:17 || Estimated Time: 1 day, 7:41:38
2023-07-20 06:21:50,179 semantic_segmentation INFO: Iters: 17480/50000 || Lr: 0.013580 || Task Loss: 0.1469 || KD Loss: 0.0451|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:01:53 || Estimated Time: 1 day, 7:41:06
2023-07-20 06:22:26,661 semantic_segmentation INFO: Iters: 17490/50000 || Lr: 0.013576 || Task Loss: 0.1372 || KD Loss: 0.0449|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:02:30 || Estimated Time: 1 day, 7:40:34
2023-07-20 06:23:03,172 semantic_segmentation INFO: Iters: 17500/50000 || Lr: 0.013573 || Task Loss: 0.1228 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:03:06 || Estimated Time: 1 day, 7:40:01
2023-07-20 06:23:40,427 semantic_segmentation INFO: Iters: 17510/50000 || Lr: 0.013569 || Task Loss: 0.1336 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:03:44 || Estimated Time: 1 day, 7:39:30
2023-07-20 06:24:17,432 semantic_segmentation INFO: Iters: 17520/50000 || Lr: 0.013565 || Task Loss: 0.1206 || KD Loss: 0.0393|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:04:21 || Estimated Time: 1 day, 7:38:59
2023-07-20 06:24:53,851 semantic_segmentation INFO: Iters: 17530/50000 || Lr: 0.013561 || Task Loss: 0.1420 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:04:57 || Estimated Time: 1 day, 7:38:26
2023-07-20 06:25:29,995 semantic_segmentation INFO: Iters: 17540/50000 || Lr: 0.013558 || Task Loss: 0.1257 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:05:33 || Estimated Time: 1 day, 7:37:53
2023-07-20 06:26:06,914 semantic_segmentation INFO: Iters: 17550/50000 || Lr: 0.013554 || Task Loss: 0.1215 || KD Loss: 0.0402|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:06:10 || Estimated Time: 1 day, 7:37:21
2023-07-20 06:26:43,762 semantic_segmentation INFO: Iters: 17560/50000 || Lr: 0.013550 || Task Loss: 0.1500 || KD Loss: 0.0447|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1110|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:06:47 || Estimated Time: 1 day, 7:36:49
2023-07-20 06:27:20,391 semantic_segmentation INFO: Iters: 17570/50000 || Lr: 0.013546 || Task Loss: 0.1166 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1120|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:07:23 || Estimated Time: 1 day, 7:36:17
2023-07-20 06:27:56,873 semantic_segmentation INFO: Iters: 17580/50000 || Lr: 0.013543 || Task Loss: 0.1146 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:08:00 || Estimated Time: 1 day, 7:35:45
2023-07-20 06:28:33,899 semantic_segmentation INFO: Iters: 17590/50000 || Lr: 0.013539 || Task Loss: 0.1072 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:08:37 || Estimated Time: 1 day, 7:35:13
2023-07-20 06:29:10,508 semantic_segmentation INFO: Iters: 17600/50000 || Lr: 0.013535 || Task Loss: 0.1222 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1108|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:09:14 || Estimated Time: 1 day, 7:34:41
2023-07-20 06:29:10,573 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 06:29:10,940 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.695
2023-07-20 06:29:10,952 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 06:29:10,980 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 06:29:10,993 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.696
2023-07-20 06:29:11,006 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.690
2023-07-20 06:29:11,019 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.688
2023-07-20 06:29:11,033 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.688
2023-07-20 06:29:11,047 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.958, mIoU: 0.687
2023-07-20 06:29:11,061 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.958, mIoU: 0.688
2023-07-20 06:29:11,074 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.688
2023-07-20 06:29:11,088 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.688
2023-07-20 06:29:11,102 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.687
2023-07-20 06:29:11,116 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.687
2023-07-20 06:29:11,130 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.687
2023-07-20 06:29:11,143 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.688
2023-07-20 06:29:11,157 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 06:29:11,171 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.956, mIoU: 0.685
2023-07-20 06:29:11,185 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.683
2023-07-20 06:29:11,199 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.681
2023-07-20 06:29:11,213 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.679
2023-07-20 06:29:11,226 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.679
2023-07-20 06:29:11,241 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.677
2023-07-20 06:29:11,257 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.952, mIoU: 0.675
2023-07-20 06:29:11,272 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.673
2023-07-20 06:29:11,287 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.951, mIoU: 0.673
2023-07-20 06:29:11,302 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.673
2023-07-20 06:29:11,317 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.673
2023-07-20 06:29:11,332 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.951, mIoU: 0.674
2023-07-20 06:29:11,347 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.675
2023-07-20 06:29:11,361 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.676
2023-07-20 06:29:11,375 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 06:29:11,390 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.679
2023-07-20 06:29:11,405 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 06:29:11,419 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 06:29:11,434 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.683
2023-07-20 06:29:11,449 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.683
2023-07-20 06:29:11,464 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.684
2023-07-20 06:29:11,480 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.685
2023-07-20 06:29:11,495 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.686
2023-07-20 06:29:11,510 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.687
2023-07-20 06:29:11,525 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-20 06:29:11,540 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-20 06:29:11,554 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-20 06:29:11,569 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.950, mIoU: 0.693
2023-07-20 06:29:11,583 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.694
2023-07-20 06:29:11,598 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.696
2023-07-20 06:29:11,614 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 06:29:11,629 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.699
2023-07-20 06:29:11,643 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.949, mIoU: 0.699
2023-07-20 06:29:11,659 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.699
2023-07-20 06:29:11,674 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.948, mIoU: 0.699
2023-07-20 06:29:11,690 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.699
2023-07-20 06:29:11,705 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.947, mIoU: 0.700
2023-07-20 06:29:11,721 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.947, mIoU: 0.700
2023-07-20 06:29:11,736 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.700
2023-07-20 06:29:11,752 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 06:29:11,767 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 06:29:11,782 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.701
2023-07-20 06:29:11,796 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.945, mIoU: 0.701
2023-07-20 06:29:11,811 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.945, mIoU: 0.702
2023-07-20 06:29:11,826 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.703
2023-07-20 06:29:11,840 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.703
2023-07-20 06:29:11,855 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.944, mIoU: 0.704
2023-07-20 06:29:11,870 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.943, mIoU: 0.705
2023-07-20 06:29:11,885 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.943, mIoU: 0.705
2023-07-20 06:29:11,900 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.942, mIoU: 0.706
2023-07-20 06:29:11,915 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.942, mIoU: 0.706
2023-07-20 06:29:11,930 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.941, mIoU: 0.707
2023-07-20 06:29:11,945 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.941, mIoU: 0.708
2023-07-20 06:29:11,960 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.940, mIoU: 0.709
2023-07-20 06:29:11,975 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.940, mIoU: 0.709
2023-07-20 06:29:11,989 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-20 06:29:12,004 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-20 06:29:12,018 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.938, mIoU: 0.708
2023-07-20 06:29:12,033 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.938, mIoU: 0.708
2023-07-20 06:29:12,047 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.938, mIoU: 0.707
2023-07-20 06:29:12,062 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.937, mIoU: 0.707
2023-07-20 06:29:12,076 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.706
2023-07-20 06:29:12,091 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 06:29:12,105 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 06:29:12,120 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 06:29:12,134 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 06:29:12,148 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 06:29:12,163 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 06:29:12,177 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 06:29:12,192 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 06:29:12,206 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 06:29:12,220 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.933, mIoU: 0.698
2023-07-20 06:29:12,234 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.933, mIoU: 0.697
2023-07-20 06:29:12,249 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.933, mIoU: 0.696
2023-07-20 06:29:12,264 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.933, mIoU: 0.695
2023-07-20 06:29:12,279 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.933, mIoU: 0.695
2023-07-20 06:29:12,294 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-20 06:29:12,309 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-20 06:29:12,324 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-20 06:29:12,339 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 06:29:12,354 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 06:29:12,368 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 06:29:12,383 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-20 06:29:12,397 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-20 06:29:12,412 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-20 06:29:49,570 semantic_segmentation INFO: Iters: 17610/50000 || Lr: 0.013531 || Task Loss: 0.1224 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1124|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:09:53 || Estimated Time: 1 day, 7:34:13
2023-07-20 06:30:26,271 semantic_segmentation INFO: Iters: 17620/50000 || Lr: 0.013528 || Task Loss: 0.1297 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1096|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:10:29 || Estimated Time: 1 day, 7:33:41
2023-07-20 06:31:02,681 semantic_segmentation INFO: Iters: 17630/50000 || Lr: 0.013524 || Task Loss: 0.1284 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:11:06 || Estimated Time: 1 day, 7:33:09
2023-07-20 06:31:40,083 semantic_segmentation INFO: Iters: 17640/50000 || Lr: 0.013520 || Task Loss: 0.1164 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:11:43 || Estimated Time: 1 day, 7:32:37
2023-07-20 06:32:16,768 semantic_segmentation INFO: Iters: 17650/50000 || Lr: 0.013516 || Task Loss: 0.1361 || KD Loss: 0.0406|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:12:20 || Estimated Time: 1 day, 7:32:05
2023-07-20 06:32:53,292 semantic_segmentation INFO: Iters: 17660/50000 || Lr: 0.013512 || Task Loss: 0.1242 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:12:56 || Estimated Time: 1 day, 7:31:33
2023-07-20 06:33:30,341 semantic_segmentation INFO: Iters: 17670/50000 || Lr: 0.013509 || Task Loss: 0.1283 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:13:33 || Estimated Time: 1 day, 7:31:01
2023-07-20 06:34:07,227 semantic_segmentation INFO: Iters: 17680/50000 || Lr: 0.013505 || Task Loss: 0.1259 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:14:10 || Estimated Time: 1 day, 7:30:29
2023-07-20 06:34:43,594 semantic_segmentation INFO: Iters: 17690/50000 || Lr: 0.013501 || Task Loss: 0.1352 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:14:47 || Estimated Time: 1 day, 7:29:57
2023-07-20 06:35:20,701 semantic_segmentation INFO: Iters: 17700/50000 || Lr: 0.013497 || Task Loss: 0.1665 || KD Loss: 0.0568|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:15:24 || Estimated Time: 1 day, 7:29:25
2023-07-20 06:35:57,121 semantic_segmentation INFO: Iters: 17710/50000 || Lr: 0.013494 || Task Loss: 0.1575 || KD Loss: 0.0643|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1247|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:16:00 || Estimated Time: 1 day, 7:28:53
2023-07-20 06:36:33,642 semantic_segmentation INFO: Iters: 17720/50000 || Lr: 0.013490 || Task Loss: 0.1391 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1100|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:16:37 || Estimated Time: 1 day, 7:28:20
2023-07-20 06:37:10,761 semantic_segmentation INFO: Iters: 17730/50000 || Lr: 0.013486 || Task Loss: 0.1656 || KD Loss: 0.0587|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1268|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:17:14 || Estimated Time: 1 day, 7:27:49
2023-07-20 06:37:47,501 semantic_segmentation INFO: Iters: 17740/50000 || Lr: 0.013482 || Task Loss: 0.1273 || KD Loss: 0.0433|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:17:51 || Estimated Time: 1 day, 7:27:17
2023-07-20 06:38:24,364 semantic_segmentation INFO: Iters: 17750/50000 || Lr: 0.013479 || Task Loss: 0.1459 || KD Loss: 0.0474|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1103|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:18:27 || Estimated Time: 1 day, 7:26:45
2023-07-20 06:39:01,031 semantic_segmentation INFO: Iters: 17760/50000 || Lr: 0.013475 || Task Loss: 0.1370 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:19:04 || Estimated Time: 1 day, 7:26:12
2023-07-20 06:39:37,753 semantic_segmentation INFO: Iters: 17770/50000 || Lr: 0.013471 || Task Loss: 0.1335 || KD Loss: 0.0419|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:19:41 || Estimated Time: 1 day, 7:25:40
2023-07-20 06:40:14,694 semantic_segmentation INFO: Iters: 17780/50000 || Lr: 0.013467 || Task Loss: 0.1409 || KD Loss: 0.0401|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:20:18 || Estimated Time: 1 day, 7:25:08
2023-07-20 06:40:51,934 semantic_segmentation INFO: Iters: 17790/50000 || Lr: 0.013464 || Task Loss: 0.1369 || KD Loss: 0.0475|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:20:55 || Estimated Time: 1 day, 7:24:37
2023-07-20 06:41:28,601 semantic_segmentation INFO: Iters: 17800/50000 || Lr: 0.013460 || Task Loss: 0.1244 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1084|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:21:32 || Estimated Time: 1 day, 7:24:05
2023-07-20 06:42:05,567 semantic_segmentation INFO: Iters: 17810/50000 || Lr: 0.013456 || Task Loss: 0.1477 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:22:09 || Estimated Time: 1 day, 7:23:33
2023-07-20 06:42:42,318 semantic_segmentation INFO: Iters: 17820/50000 || Lr: 0.013452 || Task Loss: 0.1076 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:22:45 || Estimated Time: 1 day, 7:23:01
2023-07-20 06:43:18,889 semantic_segmentation INFO: Iters: 17830/50000 || Lr: 0.013449 || Task Loss: 0.1224 || KD Loss: 0.0481|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1210|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:23:22 || Estimated Time: 1 day, 7:22:29
2023-07-20 06:43:56,036 semantic_segmentation INFO: Iters: 17840/50000 || Lr: 0.013445 || Task Loss: 0.1357 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:23:59 || Estimated Time: 1 day, 7:21:57
2023-07-20 06:44:32,961 semantic_segmentation INFO: Iters: 17850/50000 || Lr: 0.013441 || Task Loss: 0.1301 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:24:36 || Estimated Time: 1 day, 7:21:25
2023-07-20 06:45:09,660 semantic_segmentation INFO: Iters: 17860/50000 || Lr: 0.013437 || Task Loss: 0.1042 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:25:13 || Estimated Time: 1 day, 7:20:53
2023-07-20 06:45:46,727 semantic_segmentation INFO: Iters: 17870/50000 || Lr: 0.013433 || Task Loss: 0.1217 || KD Loss: 0.0429|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:25:50 || Estimated Time: 1 day, 7:20:21
2023-07-20 06:46:23,259 semantic_segmentation INFO: Iters: 17880/50000 || Lr: 0.013430 || Task Loss: 0.1429 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:26:26 || Estimated Time: 1 day, 7:19:49
2023-07-20 06:46:59,941 semantic_segmentation INFO: Iters: 17890/50000 || Lr: 0.013426 || Task Loss: 0.1273 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:27:03 || Estimated Time: 1 day, 7:19:17
2023-07-20 06:47:37,038 semantic_segmentation INFO: Iters: 17900/50000 || Lr: 0.013422 || Task Loss: 0.1219 || KD Loss: 0.0394|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1109|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:27:40 || Estimated Time: 1 day, 7:18:45
2023-07-20 06:48:13,788 semantic_segmentation INFO: Iters: 17910/50000 || Lr: 0.013418 || Task Loss: 0.1265 || KD Loss: 0.0461|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1150|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:28:17 || Estimated Time: 1 day, 7:18:13
2023-07-20 06:48:51,081 semantic_segmentation INFO: Iters: 17920/50000 || Lr: 0.013415 || Task Loss: 0.1137 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:28:54 || Estimated Time: 1 day, 7:17:42
2023-07-20 06:49:27,354 semantic_segmentation INFO: Iters: 17930/50000 || Lr: 0.013411 || Task Loss: 0.1289 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1083|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:29:30 || Estimated Time: 1 day, 7:17:09
2023-07-20 06:50:04,333 semantic_segmentation INFO: Iters: 17940/50000 || Lr: 0.013407 || Task Loss: 0.1356 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:30:07 || Estimated Time: 1 day, 7:16:37
2023-07-20 06:50:41,440 semantic_segmentation INFO: Iters: 17950/50000 || Lr: 0.013403 || Task Loss: 0.1438 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:30:45 || Estimated Time: 1 day, 7:16:05
2023-07-20 06:51:18,279 semantic_segmentation INFO: Iters: 17960/50000 || Lr: 0.013400 || Task Loss: 0.1360 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:31:21 || Estimated Time: 1 day, 7:15:33
2023-07-20 06:51:55,012 semantic_segmentation INFO: Iters: 17970/50000 || Lr: 0.013396 || Task Loss: 0.1382 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:31:58 || Estimated Time: 1 day, 7:15:01
2023-07-20 06:52:32,055 semantic_segmentation INFO: Iters: 17980/50000 || Lr: 0.013392 || Task Loss: 0.1279 || KD Loss: 0.0393|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1135|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:32:35 || Estimated Time: 1 day, 7:14:29
2023-07-20 06:53:08,677 semantic_segmentation INFO: Iters: 17990/50000 || Lr: 0.013388 || Task Loss: 0.1359 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:33:12 || Estimated Time: 1 day, 7:13:57
2023-07-20 06:53:45,943 semantic_segmentation INFO: Iters: 18000/50000 || Lr: 0.013385 || Task Loss: 0.1091 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:33:49 || Estimated Time: 1 day, 7:13:25
2023-07-20 06:54:22,542 semantic_segmentation INFO: Iters: 18010/50000 || Lr: 0.013381 || Task Loss: 0.1195 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:34:26 || Estimated Time: 1 day, 7:12:53
2023-07-20 06:54:59,677 semantic_segmentation INFO: Iters: 18020/50000 || Lr: 0.013377 || Task Loss: 0.1378 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1074|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:35:03 || Estimated Time: 1 day, 7:12:21
2023-07-20 06:55:36,324 semantic_segmentation INFO: Iters: 18030/50000 || Lr: 0.013373 || Task Loss: 0.1205 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:35:39 || Estimated Time: 1 day, 7:11:49
2023-07-20 06:56:13,157 semantic_segmentation INFO: Iters: 18040/50000 || Lr: 0.013370 || Task Loss: 0.1489 || KD Loss: 0.0535|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1251|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:36:16 || Estimated Time: 1 day, 7:11:17
2023-07-20 06:56:49,969 semantic_segmentation INFO: Iters: 18050/50000 || Lr: 0.013366 || Task Loss: 0.1303 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0941|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:36:53 || Estimated Time: 1 day, 7:10:45
2023-07-20 06:57:26,889 semantic_segmentation INFO: Iters: 18060/50000 || Lr: 0.013362 || Task Loss: 0.1425 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:37:30 || Estimated Time: 1 day, 7:10:12
2023-07-20 06:58:04,114 semantic_segmentation INFO: Iters: 18070/50000 || Lr: 0.013358 || Task Loss: 0.1276 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:38:07 || Estimated Time: 1 day, 7:09:41
2023-07-20 06:58:40,923 semantic_segmentation INFO: Iters: 18080/50000 || Lr: 0.013354 || Task Loss: 0.1820 || KD Loss: 0.0426|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0756|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:38:44 || Estimated Time: 1 day, 7:09:09
2023-07-20 06:59:17,711 semantic_segmentation INFO: Iters: 18090/50000 || Lr: 0.013351 || Task Loss: 0.1313 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:39:21 || Estimated Time: 1 day, 7:08:37
2023-07-20 06:59:54,596 semantic_segmentation INFO: Iters: 18100/50000 || Lr: 0.013347 || Task Loss: 0.1153 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:39:58 || Estimated Time: 1 day, 7:08:05
2023-07-20 07:00:31,711 semantic_segmentation INFO: Iters: 18110/50000 || Lr: 0.013343 || Task Loss: 0.1318 || KD Loss: 0.0374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:40:35 || Estimated Time: 1 day, 7:07:33
2023-07-20 07:01:08,611 semantic_segmentation INFO: Iters: 18120/50000 || Lr: 0.013339 || Task Loss: 0.1356 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:41:12 || Estimated Time: 1 day, 7:07:01
2023-07-20 07:01:45,482 semantic_segmentation INFO: Iters: 18130/50000 || Lr: 0.013336 || Task Loss: 0.1272 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:41:49 || Estimated Time: 1 day, 7:06:29
2023-07-20 07:02:22,324 semantic_segmentation INFO: Iters: 18140/50000 || Lr: 0.013332 || Task Loss: 0.1220 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:42:25 || Estimated Time: 1 day, 7:05:57
2023-07-20 07:02:59,308 semantic_segmentation INFO: Iters: 18150/50000 || Lr: 0.013328 || Task Loss: 0.1309 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:43:02 || Estimated Time: 1 day, 7:05:25
2023-07-20 07:03:36,610 semantic_segmentation INFO: Iters: 18160/50000 || Lr: 0.013324 || Task Loss: 0.1202 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:43:40 || Estimated Time: 1 day, 7:04:54
2023-07-20 07:04:13,074 semantic_segmentation INFO: Iters: 18170/50000 || Lr: 0.013321 || Task Loss: 0.1293 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0941|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:44:16 || Estimated Time: 1 day, 7:04:21
2023-07-20 07:04:50,400 semantic_segmentation INFO: Iters: 18180/50000 || Lr: 0.013317 || Task Loss: 0.1219 || KD Loss: 0.0402|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1171|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:44:54 || Estimated Time: 1 day, 7:03:49
2023-07-20 07:05:27,272 semantic_segmentation INFO: Iters: 18190/50000 || Lr: 0.013313 || Task Loss: 0.1392 || KD Loss: 0.0455|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1222|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:45:30 || Estimated Time: 1 day, 7:03:17
2023-07-20 07:06:04,840 semantic_segmentation INFO: Iters: 18200/50000 || Lr: 0.013309 || Task Loss: 0.1500 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:46:08 || Estimated Time: 1 day, 7:02:46
2023-07-20 07:06:41,497 semantic_segmentation INFO: Iters: 18210/50000 || Lr: 0.013305 || Task Loss: 0.1266 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:46:45 || Estimated Time: 1 day, 7:02:14
2023-07-20 07:07:18,455 semantic_segmentation INFO: Iters: 18220/50000 || Lr: 0.013302 || Task Loss: 0.1399 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:47:22 || Estimated Time: 1 day, 7:01:42
2023-07-20 07:07:55,511 semantic_segmentation INFO: Iters: 18230/50000 || Lr: 0.013298 || Task Loss: 0.1073 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:47:59 || Estimated Time: 1 day, 7:01:10
2023-07-20 07:08:32,456 semantic_segmentation INFO: Iters: 18240/50000 || Lr: 0.013294 || Task Loss: 0.1115 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:48:36 || Estimated Time: 1 day, 7:00:38
2023-07-20 07:09:09,415 semantic_segmentation INFO: Iters: 18250/50000 || Lr: 0.013290 || Task Loss: 0.1253 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:49:13 || Estimated Time: 1 day, 7:00:06
2023-07-20 07:09:46,538 semantic_segmentation INFO: Iters: 18260/50000 || Lr: 0.013287 || Task Loss: 0.1268 || KD Loss: 0.0394|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1190|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:49:50 || Estimated Time: 1 day, 6:59:34
2023-07-20 07:10:23,867 semantic_segmentation INFO: Iters: 18270/50000 || Lr: 0.013283 || Task Loss: 0.1290 || KD Loss: 0.0451|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:50:27 || Estimated Time: 1 day, 6:59:03
2023-07-20 07:11:01,172 semantic_segmentation INFO: Iters: 18280/50000 || Lr: 0.013279 || Task Loss: 0.1141 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:51:04 || Estimated Time: 1 day, 6:58:31
2023-07-20 07:11:38,176 semantic_segmentation INFO: Iters: 18290/50000 || Lr: 0.013275 || Task Loss: 0.1145 || KD Loss: 0.0393|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:51:41 || Estimated Time: 1 day, 6:57:59
2023-07-20 07:12:15,861 semantic_segmentation INFO: Iters: 18300/50000 || Lr: 0.013272 || Task Loss: 0.1214 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1168|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:52:19 || Estimated Time: 1 day, 6:57:29
2023-07-20 07:12:52,850 semantic_segmentation INFO: Iters: 18310/50000 || Lr: 0.013268 || Task Loss: 0.1250 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:52:56 || Estimated Time: 1 day, 6:56:57
2023-07-20 07:13:30,293 semantic_segmentation INFO: Iters: 18320/50000 || Lr: 0.013264 || Task Loss: 0.1227 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1141|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:53:33 || Estimated Time: 1 day, 6:56:25
2023-07-20 07:14:07,721 semantic_segmentation INFO: Iters: 18330/50000 || Lr: 0.013260 || Task Loss: 0.1393 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:54:11 || Estimated Time: 1 day, 6:55:54
2023-07-20 07:14:44,314 semantic_segmentation INFO: Iters: 18340/50000 || Lr: 0.013257 || Task Loss: 0.1305 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:54:47 || Estimated Time: 1 day, 6:55:22
2023-07-20 07:15:21,692 semantic_segmentation INFO: Iters: 18350/50000 || Lr: 0.013253 || Task Loss: 0.1310 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:55:25 || Estimated Time: 1 day, 6:54:50
2023-07-20 07:15:58,454 semantic_segmentation INFO: Iters: 18360/50000 || Lr: 0.013249 || Task Loss: 0.1368 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:56:02 || Estimated Time: 1 day, 6:54:18
2023-07-20 07:16:35,694 semantic_segmentation INFO: Iters: 18370/50000 || Lr: 0.013245 || Task Loss: 0.1180 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:56:39 || Estimated Time: 1 day, 6:53:46
2023-07-20 07:17:13,334 semantic_segmentation INFO: Iters: 18380/50000 || Lr: 0.013241 || Task Loss: 0.1205 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:57:16 || Estimated Time: 1 day, 6:53:15
2023-07-20 07:17:50,602 semantic_segmentation INFO: Iters: 18390/50000 || Lr: 0.013238 || Task Loss: 0.1335 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:57:54 || Estimated Time: 1 day, 6:52:44
2023-07-20 07:18:27,372 semantic_segmentation INFO: Iters: 18400/50000 || Lr: 0.013234 || Task Loss: 0.1234 || KD Loss: 0.0395|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:58:30 || Estimated Time: 1 day, 6:52:11
2023-07-20 07:18:27,438 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 07:18:27,803 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.955, mIoU: 0.683
2023-07-20 07:18:27,824 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.956, mIoU: 0.691
2023-07-20 07:18:27,837 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 07:18:27,851 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.957, mIoU: 0.692
2023-07-20 07:18:27,864 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 07:18:27,878 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 07:18:27,892 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.955, mIoU: 0.682
2023-07-20 07:18:27,906 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.956, mIoU: 0.682
2023-07-20 07:18:27,921 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.956, mIoU: 0.683
2023-07-20 07:18:27,935 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.956, mIoU: 0.685
2023-07-20 07:18:27,949 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 07:18:27,963 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-20 07:18:27,977 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-20 07:18:27,990 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-20 07:18:28,005 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-20 07:18:28,019 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-20 07:18:28,033 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 07:18:28,047 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 07:18:28,061 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 07:18:28,075 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 07:18:28,090 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 07:18:28,105 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.951, mIoU: 0.679
2023-07-20 07:18:28,121 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.951, mIoU: 0.678
2023-07-20 07:18:28,135 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-20 07:18:28,151 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.950, mIoU: 0.673
2023-07-20 07:18:28,166 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.950, mIoU: 0.673
2023-07-20 07:18:28,181 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.950, mIoU: 0.673
2023-07-20 07:18:28,196 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.950, mIoU: 0.673
2023-07-20 07:18:28,211 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-20 07:18:28,227 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.950, mIoU: 0.674
2023-07-20 07:18:28,243 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.950, mIoU: 0.676
2023-07-20 07:18:28,260 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.950, mIoU: 0.677
2023-07-20 07:18:28,276 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.950, mIoU: 0.678
2023-07-20 07:18:28,291 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.950, mIoU: 0.679
2023-07-20 07:18:28,306 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.950, mIoU: 0.680
2023-07-20 07:18:28,322 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.950, mIoU: 0.681
2023-07-20 07:18:28,337 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.949, mIoU: 0.681
2023-07-20 07:18:28,353 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.949, mIoU: 0.682
2023-07-20 07:18:28,368 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.949, mIoU: 0.683
2023-07-20 07:18:28,383 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.949, mIoU: 0.684
2023-07-20 07:18:28,398 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.949, mIoU: 0.685
2023-07-20 07:18:28,413 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.949, mIoU: 0.686
2023-07-20 07:18:28,427 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.949, mIoU: 0.688
2023-07-20 07:18:28,442 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.949, mIoU: 0.690
2023-07-20 07:18:28,457 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.949, mIoU: 0.690
2023-07-20 07:18:28,471 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.949, mIoU: 0.692
2023-07-20 07:18:28,486 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.949, mIoU: 0.693
2023-07-20 07:18:28,500 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.949, mIoU: 0.694
2023-07-20 07:18:28,515 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.949, mIoU: 0.695
2023-07-20 07:18:28,529 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.948, mIoU: 0.695
2023-07-20 07:18:28,544 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.947, mIoU: 0.695
2023-07-20 07:18:28,558 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.947, mIoU: 0.695
2023-07-20 07:18:28,573 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.947, mIoU: 0.695
2023-07-20 07:18:28,587 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.946, mIoU: 0.695
2023-07-20 07:18:28,601 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.946, mIoU: 0.695
2023-07-20 07:18:28,616 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.946, mIoU: 0.695
2023-07-20 07:18:28,630 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.945, mIoU: 0.695
2023-07-20 07:18:28,645 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.945, mIoU: 0.695
2023-07-20 07:18:28,659 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.945, mIoU: 0.696
2023-07-20 07:18:28,674 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.944, mIoU: 0.696
2023-07-20 07:18:28,688 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.944, mIoU: 0.697
2023-07-20 07:18:28,703 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.943, mIoU: 0.697
2023-07-20 07:18:28,717 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.943, mIoU: 0.698
2023-07-20 07:18:28,731 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.943, mIoU: 0.698
2023-07-20 07:18:28,746 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.942, mIoU: 0.698
2023-07-20 07:18:28,760 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.941, mIoU: 0.698
2023-07-20 07:18:28,775 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.941, mIoU: 0.699
2023-07-20 07:18:28,789 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.940, mIoU: 0.699
2023-07-20 07:18:28,804 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.940, mIoU: 0.699
2023-07-20 07:18:28,818 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.939, mIoU: 0.700
2023-07-20 07:18:28,832 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.939, mIoU: 0.700
2023-07-20 07:18:28,847 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-20 07:18:28,861 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.938, mIoU: 0.700
2023-07-20 07:18:28,876 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-20 07:18:28,890 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 07:18:28,905 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 07:18:28,919 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 07:18:28,934 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 07:18:28,948 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 07:18:28,963 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-20 07:18:28,977 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.934, mIoU: 0.695
2023-07-20 07:18:28,991 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-20 07:18:29,006 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-20 07:18:29,020 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.933, mIoU: 0.691
2023-07-20 07:18:29,035 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.932, mIoU: 0.690
2023-07-20 07:18:29,049 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 07:18:29,063 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-20 07:18:29,077 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-20 07:18:29,092 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.932, mIoU: 0.685
2023-07-20 07:18:29,106 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.931, mIoU: 0.684
2023-07-20 07:18:29,120 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.931, mIoU: 0.683
2023-07-20 07:18:29,134 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.932, mIoU: 0.683
2023-07-20 07:18:29,149 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.932, mIoU: 0.684
2023-07-20 07:18:29,163 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.932, mIoU: 0.684
2023-07-20 07:18:29,177 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.932, mIoU: 0.684
2023-07-20 07:18:29,192 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.933, mIoU: 0.684
2023-07-20 07:18:29,206 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.933, mIoU: 0.684
2023-07-20 07:18:29,220 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.933, mIoU: 0.684
2023-07-20 07:18:29,234 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.933, mIoU: 0.684
2023-07-20 07:18:29,249 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.933, mIoU: 0.684
2023-07-20 07:18:29,263 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.934, mIoU: 0.683
2023-07-20 07:19:06,912 semantic_segmentation INFO: Iters: 18410/50000 || Lr: 0.013230 || Task Loss: 0.1362 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:59:10 || Estimated Time: 1 day, 6:51:44
2023-07-20 07:19:44,250 semantic_segmentation INFO: Iters: 18420/50000 || Lr: 0.013226 || Task Loss: 0.1227 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0926|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 17:59:47 || Estimated Time: 1 day, 6:51:12
2023-07-20 07:20:21,417 semantic_segmentation INFO: Iters: 18430/50000 || Lr: 0.013223 || Task Loss: 0.1456 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:00:25 || Estimated Time: 1 day, 6:50:41
2023-07-20 07:20:58,470 semantic_segmentation INFO: Iters: 18440/50000 || Lr: 0.013219 || Task Loss: 0.1192 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:01:02 || Estimated Time: 1 day, 6:50:09
2023-07-20 07:21:35,723 semantic_segmentation INFO: Iters: 18450/50000 || Lr: 0.013215 || Task Loss: 0.1315 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:01:39 || Estimated Time: 1 day, 6:49:37
2023-07-20 07:22:13,258 semantic_segmentation INFO: Iters: 18460/50000 || Lr: 0.013211 || Task Loss: 0.1450 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1133|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:02:16 || Estimated Time: 1 day, 6:49:06
2023-07-20 07:22:50,672 semantic_segmentation INFO: Iters: 18470/50000 || Lr: 0.013208 || Task Loss: 0.1387 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:02:54 || Estimated Time: 1 day, 6:48:34
2023-07-20 07:23:27,503 semantic_segmentation INFO: Iters: 18480/50000 || Lr: 0.013204 || Task Loss: 0.1516 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:03:31 || Estimated Time: 1 day, 6:48:02
2023-07-20 07:24:05,055 semantic_segmentation INFO: Iters: 18490/50000 || Lr: 0.013200 || Task Loss: 0.1487 || KD Loss: 0.0459|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:04:08 || Estimated Time: 1 day, 6:47:31
2023-07-20 07:24:42,046 semantic_segmentation INFO: Iters: 18500/50000 || Lr: 0.013196 || Task Loss: 0.1280 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1106|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:04:45 || Estimated Time: 1 day, 6:46:59
2023-07-20 07:25:18,963 semantic_segmentation INFO: Iters: 18510/50000 || Lr: 0.013192 || Task Loss: 0.1028 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1145|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:05:22 || Estimated Time: 1 day, 6:46:27
2023-07-20 07:25:56,861 semantic_segmentation INFO: Iters: 18520/50000 || Lr: 0.013189 || Task Loss: 0.1351 || KD Loss: 0.0445|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1108|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:06:00 || Estimated Time: 1 day, 6:45:56
2023-07-20 07:26:34,118 semantic_segmentation INFO: Iters: 18530/50000 || Lr: 0.013185 || Task Loss: 0.1155 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:06:37 || Estimated Time: 1 day, 6:45:24
2023-07-20 07:27:11,068 semantic_segmentation INFO: Iters: 18540/50000 || Lr: 0.013181 || Task Loss: 0.1346 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:07:14 || Estimated Time: 1 day, 6:44:52
2023-07-20 07:27:48,161 semantic_segmentation INFO: Iters: 18550/50000 || Lr: 0.013177 || Task Loss: 0.1485 || KD Loss: 0.0432|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:07:51 || Estimated Time: 1 day, 6:44:20
2023-07-20 07:28:25,325 semantic_segmentation INFO: Iters: 18560/50000 || Lr: 0.013174 || Task Loss: 0.1279 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:08:28 || Estimated Time: 1 day, 6:43:48
2023-07-20 07:29:02,835 semantic_segmentation INFO: Iters: 18570/50000 || Lr: 0.013170 || Task Loss: 0.1288 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:09:06 || Estimated Time: 1 day, 6:43:17
2023-07-20 07:29:39,931 semantic_segmentation INFO: Iters: 18580/50000 || Lr: 0.013166 || Task Loss: 0.1461 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:09:43 || Estimated Time: 1 day, 6:42:45
2023-07-20 07:30:17,082 semantic_segmentation INFO: Iters: 18590/50000 || Lr: 0.013162 || Task Loss: 0.1189 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:10:20 || Estimated Time: 1 day, 6:42:13
2023-07-20 07:30:54,792 semantic_segmentation INFO: Iters: 18600/50000 || Lr: 0.013158 || Task Loss: 0.1388 || KD Loss: 0.0395|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:10:58 || Estimated Time: 1 day, 6:41:42
2023-07-20 07:31:31,904 semantic_segmentation INFO: Iters: 18610/50000 || Lr: 0.013155 || Task Loss: 0.1237 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:11:35 || Estimated Time: 1 day, 6:41:10
2023-07-20 07:32:09,814 semantic_segmentation INFO: Iters: 18620/50000 || Lr: 0.013151 || Task Loss: 0.1226 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:12:13 || Estimated Time: 1 day, 6:40:40
2023-07-20 07:32:46,603 semantic_segmentation INFO: Iters: 18630/50000 || Lr: 0.013147 || Task Loss: 0.1304 || KD Loss: 0.0374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:12:50 || Estimated Time: 1 day, 6:40:07
2023-07-20 07:33:23,784 semantic_segmentation INFO: Iters: 18640/50000 || Lr: 0.013143 || Task Loss: 0.1332 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:13:27 || Estimated Time: 1 day, 6:39:35
2023-07-20 07:34:01,437 semantic_segmentation INFO: Iters: 18650/50000 || Lr: 0.013140 || Task Loss: 0.1343 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0880|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:14:05 || Estimated Time: 1 day, 6:39:04
2023-07-20 07:34:38,648 semantic_segmentation INFO: Iters: 18660/50000 || Lr: 0.013136 || Task Loss: 0.1412 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:14:42 || Estimated Time: 1 day, 6:38:33
2023-07-20 07:35:15,940 semantic_segmentation INFO: Iters: 18670/50000 || Lr: 0.013132 || Task Loss: 0.1318 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:15:19 || Estimated Time: 1 day, 6:38:01
2023-07-20 07:35:53,598 semantic_segmentation INFO: Iters: 18680/50000 || Lr: 0.013128 || Task Loss: 0.1045 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:15:57 || Estimated Time: 1 day, 6:37:30
2023-07-20 07:36:30,727 semantic_segmentation INFO: Iters: 18690/50000 || Lr: 0.013125 || Task Loss: 0.1216 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:16:34 || Estimated Time: 1 day, 6:36:58
2023-07-20 07:37:08,420 semantic_segmentation INFO: Iters: 18700/50000 || Lr: 0.013121 || Task Loss: 0.1190 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:17:12 || Estimated Time: 1 day, 6:36:27
2023-07-20 07:37:45,559 semantic_segmentation INFO: Iters: 18710/50000 || Lr: 0.013117 || Task Loss: 0.1369 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0853|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:17:49 || Estimated Time: 1 day, 6:35:55
2023-07-20 07:38:22,559 semantic_segmentation INFO: Iters: 18720/50000 || Lr: 0.013113 || Task Loss: 0.1164 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:18:26 || Estimated Time: 1 day, 6:35:23
2023-07-20 07:39:00,271 semantic_segmentation INFO: Iters: 18730/50000 || Lr: 0.013109 || Task Loss: 0.1256 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1194|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:19:03 || Estimated Time: 1 day, 6:34:52
2023-07-20 07:39:38,160 semantic_segmentation INFO: Iters: 18740/50000 || Lr: 0.013106 || Task Loss: 0.1209 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:19:41 || Estimated Time: 1 day, 6:34:21
2023-07-20 07:40:15,346 semantic_segmentation INFO: Iters: 18750/50000 || Lr: 0.013102 || Task Loss: 0.1195 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1104|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:20:18 || Estimated Time: 1 day, 6:33:49
2023-07-20 07:40:52,351 semantic_segmentation INFO: Iters: 18760/50000 || Lr: 0.013098 || Task Loss: 0.1191 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1083|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:20:55 || Estimated Time: 1 day, 6:33:17
2023-07-20 07:41:29,840 semantic_segmentation INFO: Iters: 18770/50000 || Lr: 0.013094 || Task Loss: 0.1171 || KD Loss: 0.0393|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1150|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:21:33 || Estimated Time: 1 day, 6:32:45
2023-07-20 07:42:07,291 semantic_segmentation INFO: Iters: 18780/50000 || Lr: 0.013091 || Task Loss: 0.1208 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:22:10 || Estimated Time: 1 day, 6:32:14
2023-07-20 07:42:44,908 semantic_segmentation INFO: Iters: 18790/50000 || Lr: 0.013087 || Task Loss: 0.1163 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:22:48 || Estimated Time: 1 day, 6:31:43
2023-07-20 07:43:22,426 semantic_segmentation INFO: Iters: 18800/50000 || Lr: 0.013083 || Task Loss: 0.1391 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:23:26 || Estimated Time: 1 day, 6:31:11
2023-07-20 07:44:00,072 semantic_segmentation INFO: Iters: 18810/50000 || Lr: 0.013079 || Task Loss: 0.1219 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:24:03 || Estimated Time: 1 day, 6:30:40
2023-07-20 07:44:37,512 semantic_segmentation INFO: Iters: 18820/50000 || Lr: 0.013075 || Task Loss: 0.1356 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:24:41 || Estimated Time: 1 day, 6:30:08
2023-07-20 07:45:14,897 semantic_segmentation INFO: Iters: 18830/50000 || Lr: 0.013072 || Task Loss: 0.1291 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:25:18 || Estimated Time: 1 day, 6:29:37
2023-07-20 07:45:52,595 semantic_segmentation INFO: Iters: 18840/50000 || Lr: 0.013068 || Task Loss: 0.1176 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:25:56 || Estimated Time: 1 day, 6:29:06
2023-07-20 07:46:29,773 semantic_segmentation INFO: Iters: 18850/50000 || Lr: 0.013064 || Task Loss: 0.1141 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:26:33 || Estimated Time: 1 day, 6:28:34
2023-07-20 07:47:07,455 semantic_segmentation INFO: Iters: 18860/50000 || Lr: 0.013060 || Task Loss: 0.1411 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:27:11 || Estimated Time: 1 day, 6:28:03
2023-07-20 07:47:44,705 semantic_segmentation INFO: Iters: 18870/50000 || Lr: 0.013057 || Task Loss: 0.1317 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:27:48 || Estimated Time: 1 day, 6:27:31
2023-07-20 07:48:22,690 semantic_segmentation INFO: Iters: 18880/50000 || Lr: 0.013053 || Task Loss: 0.1226 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:28:26 || Estimated Time: 1 day, 6:27:00
2023-07-20 07:49:00,017 semantic_segmentation INFO: Iters: 18890/50000 || Lr: 0.013049 || Task Loss: 0.1118 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:29:03 || Estimated Time: 1 day, 6:26:28
2023-07-20 07:49:37,472 semantic_segmentation INFO: Iters: 18900/50000 || Lr: 0.013045 || Task Loss: 0.1298 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:29:41 || Estimated Time: 1 day, 6:25:57
2023-07-20 07:50:15,154 semantic_segmentation INFO: Iters: 18910/50000 || Lr: 0.013042 || Task Loss: 0.1266 || KD Loss: 0.0459|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:30:18 || Estimated Time: 1 day, 6:25:26
2023-07-20 07:50:52,928 semantic_segmentation INFO: Iters: 18920/50000 || Lr: 0.013038 || Task Loss: 0.1219 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:30:56 || Estimated Time: 1 day, 6:24:55
2023-07-20 07:51:30,133 semantic_segmentation INFO: Iters: 18930/50000 || Lr: 0.013034 || Task Loss: 0.1238 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:31:33 || Estimated Time: 1 day, 6:24:22
2023-07-20 07:52:07,237 semantic_segmentation INFO: Iters: 18940/50000 || Lr: 0.013030 || Task Loss: 0.1106 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:32:10 || Estimated Time: 1 day, 6:23:50
2023-07-20 07:52:44,595 semantic_segmentation INFO: Iters: 18950/50000 || Lr: 0.013026 || Task Loss: 0.1309 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0907|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:32:48 || Estimated Time: 1 day, 6:23:19
2023-07-20 07:53:22,855 semantic_segmentation INFO: Iters: 18960/50000 || Lr: 0.013023 || Task Loss: 0.1335 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0926|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:33:26 || Estimated Time: 1 day, 6:22:48
2023-07-20 07:53:59,966 semantic_segmentation INFO: Iters: 18970/50000 || Lr: 0.013019 || Task Loss: 0.1181 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1161|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:34:03 || Estimated Time: 1 day, 6:22:16
2023-07-20 07:54:37,894 semantic_segmentation INFO: Iters: 18980/50000 || Lr: 0.013015 || Task Loss: 0.1236 || KD Loss: 0.0401|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:34:41 || Estimated Time: 1 day, 6:21:45
2023-07-20 07:55:15,509 semantic_segmentation INFO: Iters: 18990/50000 || Lr: 0.013011 || Task Loss: 0.1384 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:35:19 || Estimated Time: 1 day, 6:21:14
2023-07-20 07:55:52,970 semantic_segmentation INFO: Iters: 19000/50000 || Lr: 0.013008 || Task Loss: 0.1306 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:35:56 || Estimated Time: 1 day, 6:20:42
2023-07-20 07:56:30,630 semantic_segmentation INFO: Iters: 19010/50000 || Lr: 0.013004 || Task Loss: 0.1106 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:36:34 || Estimated Time: 1 day, 6:20:11
2023-07-20 07:57:08,367 semantic_segmentation INFO: Iters: 19020/50000 || Lr: 0.013000 || Task Loss: 0.1212 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:37:11 || Estimated Time: 1 day, 6:19:40
2023-07-20 07:57:45,877 semantic_segmentation INFO: Iters: 19030/50000 || Lr: 0.012996 || Task Loss: 0.1276 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1146|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:37:49 || Estimated Time: 1 day, 6:19:08
2023-07-20 07:58:23,090 semantic_segmentation INFO: Iters: 19040/50000 || Lr: 0.012992 || Task Loss: 0.1375 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:38:26 || Estimated Time: 1 day, 6:18:36
2023-07-20 07:59:00,927 semantic_segmentation INFO: Iters: 19050/50000 || Lr: 0.012989 || Task Loss: 0.1150 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:39:04 || Estimated Time: 1 day, 6:18:05
2023-07-20 07:59:38,415 semantic_segmentation INFO: Iters: 19060/50000 || Lr: 0.012985 || Task Loss: 0.1256 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:39:42 || Estimated Time: 1 day, 6:17:34
2023-07-20 08:00:16,325 semantic_segmentation INFO: Iters: 19070/50000 || Lr: 0.012981 || Task Loss: 0.1293 || KD Loss: 0.0412|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:40:19 || Estimated Time: 1 day, 6:17:03
2023-07-20 08:00:53,386 semantic_segmentation INFO: Iters: 19080/50000 || Lr: 0.012977 || Task Loss: 0.1111 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:40:56 || Estimated Time: 1 day, 6:16:30
2023-07-20 08:01:30,839 semantic_segmentation INFO: Iters: 19090/50000 || Lr: 0.012974 || Task Loss: 0.1247 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:41:34 || Estimated Time: 1 day, 6:15:59
2023-07-20 08:02:08,777 semantic_segmentation INFO: Iters: 19100/50000 || Lr: 0.012970 || Task Loss: 0.1220 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:42:12 || Estimated Time: 1 day, 6:15:28
2023-07-20 08:02:45,955 semantic_segmentation INFO: Iters: 19110/50000 || Lr: 0.012966 || Task Loss: 0.1120 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:42:49 || Estimated Time: 1 day, 6:14:56
2023-07-20 08:03:22,895 semantic_segmentation INFO: Iters: 19120/50000 || Lr: 0.012962 || Task Loss: 0.1169 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:43:26 || Estimated Time: 1 day, 6:14:23
2023-07-20 08:04:00,804 semantic_segmentation INFO: Iters: 19130/50000 || Lr: 0.012958 || Task Loss: 0.1244 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:44:04 || Estimated Time: 1 day, 6:13:52
2023-07-20 08:04:38,699 semantic_segmentation INFO: Iters: 19140/50000 || Lr: 0.012955 || Task Loss: 0.1250 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:44:42 || Estimated Time: 1 day, 6:13:21
2023-07-20 08:05:16,609 semantic_segmentation INFO: Iters: 19150/50000 || Lr: 0.012951 || Task Loss: 0.1106 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:45:20 || Estimated Time: 1 day, 6:12:50
2023-07-20 08:05:53,987 semantic_segmentation INFO: Iters: 19160/50000 || Lr: 0.012947 || Task Loss: 0.1227 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:45:57 || Estimated Time: 1 day, 6:12:18
2023-07-20 08:06:31,821 semantic_segmentation INFO: Iters: 19170/50000 || Lr: 0.012943 || Task Loss: 0.1480 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:46:35 || Estimated Time: 1 day, 6:11:47
2023-07-20 08:07:09,475 semantic_segmentation INFO: Iters: 19180/50000 || Lr: 0.012940 || Task Loss: 0.1379 || KD Loss: 0.0394|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:47:13 || Estimated Time: 1 day, 6:11:16
2023-07-20 08:07:46,963 semantic_segmentation INFO: Iters: 19190/50000 || Lr: 0.012936 || Task Loss: 0.1265 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1074|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:47:50 || Estimated Time: 1 day, 6:10:44
2023-07-20 08:08:24,555 semantic_segmentation INFO: Iters: 19200/50000 || Lr: 0.012932 || Task Loss: 0.1275 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:48:28 || Estimated Time: 1 day, 6:10:13
2023-07-20 08:08:24,618 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 08:08:24,973 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.958, mIoU: 0.691
2023-07-20 08:08:25,016 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.959, mIoU: 0.701
2023-07-20 08:08:25,029 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-20 08:08:25,043 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 08:08:25,056 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 08:08:25,069 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.692
2023-07-20 08:08:25,082 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.692
2023-07-20 08:08:25,096 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 08:08:25,109 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.959, mIoU: 0.692
2023-07-20 08:08:25,123 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 08:08:25,137 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-20 08:08:25,151 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 08:08:25,165 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 08:08:25,180 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 08:08:25,195 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 08:08:25,209 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.690
2023-07-20 08:08:25,224 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-20 08:08:25,238 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 08:08:25,252 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 08:08:25,267 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 08:08:25,281 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 08:08:25,296 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.680
2023-07-20 08:08:25,310 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 08:08:25,324 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.676
2023-07-20 08:08:25,339 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.676
2023-07-20 08:08:25,354 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.677
2023-07-20 08:08:25,368 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.677
2023-07-20 08:08:25,383 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.952, mIoU: 0.677
2023-07-20 08:08:25,399 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 08:08:25,414 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.679
2023-07-20 08:08:25,429 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 08:08:25,444 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 08:08:25,459 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.952, mIoU: 0.684
2023-07-20 08:08:25,474 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.685
2023-07-20 08:08:25,489 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.686
2023-07-20 08:08:25,504 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.686
2023-07-20 08:08:25,519 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.686
2023-07-20 08:08:25,535 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.687
2023-07-20 08:08:25,550 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-20 08:08:25,565 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.689
2023-07-20 08:08:25,580 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.691
2023-07-20 08:08:25,595 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-20 08:08:25,609 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.694
2023-07-20 08:08:25,624 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-20 08:08:25,639 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.695
2023-07-20 08:08:25,654 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 08:08:25,669 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.699
2023-07-20 08:08:25,683 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.700
2023-07-20 08:08:25,697 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.701
2023-07-20 08:08:25,712 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.700
2023-07-20 08:08:25,726 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.701
2023-07-20 08:08:25,740 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.700
2023-07-20 08:08:25,755 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.700
2023-07-20 08:08:25,770 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.700
2023-07-20 08:08:25,785 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.700
2023-07-20 08:08:25,801 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.700
2023-07-20 08:08:25,816 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 08:08:25,831 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 08:08:25,846 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.700
2023-07-20 08:08:25,861 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.945, mIoU: 0.701
2023-07-20 08:08:25,876 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.701
2023-07-20 08:08:25,890 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.701
2023-07-20 08:08:25,904 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.944, mIoU: 0.702
2023-07-20 08:08:25,919 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.702
2023-07-20 08:08:25,933 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.943, mIoU: 0.702
2023-07-20 08:08:25,948 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.942, mIoU: 0.702
2023-07-20 08:08:25,962 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.942, mIoU: 0.702
2023-07-20 08:08:25,977 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.941, mIoU: 0.702
2023-07-20 08:08:25,991 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.941, mIoU: 0.703
2023-07-20 08:08:26,006 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.940, mIoU: 0.703
2023-07-20 08:08:26,021 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.940, mIoU: 0.704
2023-07-20 08:08:26,035 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.939, mIoU: 0.704
2023-07-20 08:08:26,050 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.939, mIoU: 0.704
2023-07-20 08:08:26,065 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.938, mIoU: 0.703
2023-07-20 08:08:26,080 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.938, mIoU: 0.702
2023-07-20 08:08:26,095 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-20 08:08:26,109 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 08:08:26,124 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 08:08:26,139 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 08:08:26,153 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 08:08:26,168 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 08:08:26,183 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 08:08:26,198 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 08:08:26,212 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.933, mIoU: 0.694
2023-07-20 08:08:26,227 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 08:08:26,241 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.933, mIoU: 0.693
2023-07-20 08:08:26,255 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-20 08:08:26,270 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.933, mIoU: 0.690
2023-07-20 08:08:26,284 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-20 08:08:26,298 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.932, mIoU: 0.687
2023-07-20 08:08:26,313 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-20 08:08:26,327 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.932, mIoU: 0.686
2023-07-20 08:08:26,341 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.933, mIoU: 0.686
2023-07-20 08:08:26,355 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 08:08:26,370 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 08:08:26,384 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 08:08:26,398 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 08:08:26,412 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 08:08:26,427 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 08:08:26,441 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-20 08:08:26,455 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-20 08:09:03,787 semantic_segmentation INFO: Iters: 19210/50000 || Lr: 0.012928 || Task Loss: 0.1402 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0907|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:49:07 || Estimated Time: 1 day, 6:09:44
2023-07-20 08:09:41,706 semantic_segmentation INFO: Iters: 19220/50000 || Lr: 0.012924 || Task Loss: 0.1205 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1187|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:49:45 || Estimated Time: 1 day, 6:09:13
2023-07-20 08:10:19,358 semantic_segmentation INFO: Iters: 19230/50000 || Lr: 0.012921 || Task Loss: 0.1216 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:50:22 || Estimated Time: 1 day, 6:08:41
2023-07-20 08:10:57,090 semantic_segmentation INFO: Iters: 19240/50000 || Lr: 0.012917 || Task Loss: 0.1424 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:51:00 || Estimated Time: 1 day, 6:08:10
2023-07-20 08:11:35,026 semantic_segmentation INFO: Iters: 19250/50000 || Lr: 0.012913 || Task Loss: 0.1646 || KD Loss: 0.0463|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:51:38 || Estimated Time: 1 day, 6:07:39
2023-07-20 08:12:12,443 semantic_segmentation INFO: Iters: 19260/50000 || Lr: 0.012909 || Task Loss: 0.1225 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:52:16 || Estimated Time: 1 day, 6:07:07
2023-07-20 08:12:50,614 semantic_segmentation INFO: Iters: 19270/50000 || Lr: 0.012906 || Task Loss: 0.1334 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:52:54 || Estimated Time: 1 day, 6:06:36
2023-07-20 08:13:27,480 semantic_segmentation INFO: Iters: 19280/50000 || Lr: 0.012902 || Task Loss: 0.1142 || KD Loss: 0.0391|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:53:31 || Estimated Time: 1 day, 6:06:04
2023-07-20 08:14:05,328 semantic_segmentation INFO: Iters: 19290/50000 || Lr: 0.012898 || Task Loss: 0.1259 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:54:08 || Estimated Time: 1 day, 6:05:33
2023-07-20 08:14:42,823 semantic_segmentation INFO: Iters: 19300/50000 || Lr: 0.012894 || Task Loss: 0.1358 || KD Loss: 0.0415|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:54:46 || Estimated Time: 1 day, 6:05:01
2023-07-20 08:15:20,459 semantic_segmentation INFO: Iters: 19310/50000 || Lr: 0.012890 || Task Loss: 0.1276 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:55:24 || Estimated Time: 1 day, 6:04:29
2023-07-20 08:15:57,983 semantic_segmentation INFO: Iters: 19320/50000 || Lr: 0.012887 || Task Loss: 0.1172 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0941|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:56:01 || Estimated Time: 1 day, 6:03:58
2023-07-20 08:16:36,113 semantic_segmentation INFO: Iters: 19330/50000 || Lr: 0.012883 || Task Loss: 0.1221 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:56:39 || Estimated Time: 1 day, 6:03:27
2023-07-20 08:17:13,498 semantic_segmentation INFO: Iters: 19340/50000 || Lr: 0.012879 || Task Loss: 0.1185 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:57:17 || Estimated Time: 1 day, 6:02:55
2023-07-20 08:17:50,820 semantic_segmentation INFO: Iters: 19350/50000 || Lr: 0.012875 || Task Loss: 0.1232 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:57:54 || Estimated Time: 1 day, 6:02:23
2023-07-20 08:18:29,290 semantic_segmentation INFO: Iters: 19360/50000 || Lr: 0.012872 || Task Loss: 0.1287 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:58:32 || Estimated Time: 1 day, 6:01:52
2023-07-20 08:19:06,166 semantic_segmentation INFO: Iters: 19370/50000 || Lr: 0.012868 || Task Loss: 0.1256 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:59:09 || Estimated Time: 1 day, 6:01:20
2023-07-20 08:19:43,997 semantic_segmentation INFO: Iters: 19380/50000 || Lr: 0.012864 || Task Loss: 0.1403 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0793|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:59:47 || Estimated Time: 1 day, 6:00:48
2023-07-20 08:20:21,579 semantic_segmentation INFO: Iters: 19390/50000 || Lr: 0.012860 || Task Loss: 0.1256 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:00:25 || Estimated Time: 1 day, 6:00:17
2023-07-20 08:20:59,745 semantic_segmentation INFO: Iters: 19400/50000 || Lr: 0.012856 || Task Loss: 0.1183 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:01:03 || Estimated Time: 1 day, 5:59:46
2023-07-20 08:21:37,561 semantic_segmentation INFO: Iters: 19410/50000 || Lr: 0.012853 || Task Loss: 0.1276 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:01:41 || Estimated Time: 1 day, 5:59:15
2023-07-20 08:22:15,202 semantic_segmentation INFO: Iters: 19420/50000 || Lr: 0.012849 || Task Loss: 0.1470 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:02:18 || Estimated Time: 1 day, 5:58:43
2023-07-20 08:22:53,450 semantic_segmentation INFO: Iters: 19430/50000 || Lr: 0.012845 || Task Loss: 0.1286 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:02:57 || Estimated Time: 1 day, 5:58:12
2023-07-20 08:23:31,101 semantic_segmentation INFO: Iters: 19440/50000 || Lr: 0.012841 || Task Loss: 0.1237 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:03:34 || Estimated Time: 1 day, 5:57:41
2023-07-20 08:24:08,846 semantic_segmentation INFO: Iters: 19450/50000 || Lr: 0.012837 || Task Loss: 0.1293 || KD Loss: 0.0416|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1162|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:04:12 || Estimated Time: 1 day, 5:57:09
2023-07-20 08:24:46,779 semantic_segmentation INFO: Iters: 19460/50000 || Lr: 0.012834 || Task Loss: 0.1367 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:04:50 || Estimated Time: 1 day, 5:56:38
2023-07-20 08:25:24,197 semantic_segmentation INFO: Iters: 19470/50000 || Lr: 0.012830 || Task Loss: 0.1171 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:05:27 || Estimated Time: 1 day, 5:56:06
2023-07-20 08:26:01,796 semantic_segmentation INFO: Iters: 19480/50000 || Lr: 0.012826 || Task Loss: 0.1337 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1108|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:06:05 || Estimated Time: 1 day, 5:55:35
2023-07-20 08:26:39,341 semantic_segmentation INFO: Iters: 19490/50000 || Lr: 0.012822 || Task Loss: 0.1166 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1098|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:06:42 || Estimated Time: 1 day, 5:55:03
2023-07-20 08:27:17,577 semantic_segmentation INFO: Iters: 19500/50000 || Lr: 0.012819 || Task Loss: 0.1191 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:07:21 || Estimated Time: 1 day, 5:54:32
2023-07-20 08:27:54,735 semantic_segmentation INFO: Iters: 19510/50000 || Lr: 0.012815 || Task Loss: 0.1131 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:07:58 || Estimated Time: 1 day, 5:54:00
2023-07-20 08:28:32,474 semantic_segmentation INFO: Iters: 19520/50000 || Lr: 0.012811 || Task Loss: 0.1378 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:08:36 || Estimated Time: 1 day, 5:53:28
2023-07-20 08:29:10,261 semantic_segmentation INFO: Iters: 19530/50000 || Lr: 0.012807 || Task Loss: 0.1378 || KD Loss: 0.0421|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1126|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:09:13 || Estimated Time: 1 day, 5:52:57
2023-07-20 08:29:48,605 semantic_segmentation INFO: Iters: 19540/50000 || Lr: 0.012803 || Task Loss: 0.1081 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:09:52 || Estimated Time: 1 day, 5:52:26
2023-07-20 08:30:26,189 semantic_segmentation INFO: Iters: 19550/50000 || Lr: 0.012800 || Task Loss: 0.1357 || KD Loss: 0.0438|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:10:29 || Estimated Time: 1 day, 5:51:55
2023-07-20 08:31:04,158 semantic_segmentation INFO: Iters: 19560/50000 || Lr: 0.012796 || Task Loss: 0.1223 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:11:07 || Estimated Time: 1 day, 5:51:23
2023-07-20 08:31:42,251 semantic_segmentation INFO: Iters: 19570/50000 || Lr: 0.012792 || Task Loss: 0.1321 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:11:45 || Estimated Time: 1 day, 5:50:52
2023-07-20 08:32:19,805 semantic_segmentation INFO: Iters: 19580/50000 || Lr: 0.012788 || Task Loss: 0.1005 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1175|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:12:23 || Estimated Time: 1 day, 5:50:20
2023-07-20 08:32:57,515 semantic_segmentation INFO: Iters: 19590/50000 || Lr: 0.012785 || Task Loss: 0.1319 || KD Loss: 0.0433|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:13:01 || Estimated Time: 1 day, 5:49:49
2023-07-20 08:33:35,681 semantic_segmentation INFO: Iters: 19600/50000 || Lr: 0.012781 || Task Loss: 0.1283 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:13:39 || Estimated Time: 1 day, 5:49:18
2023-07-20 08:34:13,265 semantic_segmentation INFO: Iters: 19610/50000 || Lr: 0.012777 || Task Loss: 0.1171 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:14:16 || Estimated Time: 1 day, 5:48:46
2023-07-20 08:34:51,108 semantic_segmentation INFO: Iters: 19620/50000 || Lr: 0.012773 || Task Loss: 0.1325 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:14:54 || Estimated Time: 1 day, 5:48:15
2023-07-20 08:35:28,823 semantic_segmentation INFO: Iters: 19630/50000 || Lr: 0.012769 || Task Loss: 0.1221 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:15:32 || Estimated Time: 1 day, 5:47:43
2023-07-20 08:36:06,582 semantic_segmentation INFO: Iters: 19640/50000 || Lr: 0.012766 || Task Loss: 0.1315 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:16:10 || Estimated Time: 1 day, 5:47:12
2023-07-20 08:36:44,879 semantic_segmentation INFO: Iters: 19650/50000 || Lr: 0.012762 || Task Loss: 0.1269 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:16:48 || Estimated Time: 1 day, 5:46:41
2023-07-20 08:37:22,362 semantic_segmentation INFO: Iters: 19660/50000 || Lr: 0.012758 || Task Loss: 0.1157 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:17:25 || Estimated Time: 1 day, 5:46:09
2023-07-20 08:38:00,554 semantic_segmentation INFO: Iters: 19670/50000 || Lr: 0.012754 || Task Loss: 0.1426 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:18:04 || Estimated Time: 1 day, 5:45:38
2023-07-20 08:38:38,861 semantic_segmentation INFO: Iters: 19680/50000 || Lr: 0.012750 || Task Loss: 0.1147 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:18:42 || Estimated Time: 1 day, 5:45:07
2023-07-20 08:39:16,846 semantic_segmentation INFO: Iters: 19690/50000 || Lr: 0.012747 || Task Loss: 0.1251 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1128|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:19:20 || Estimated Time: 1 day, 5:44:36
2023-07-20 08:39:55,229 semantic_segmentation INFO: Iters: 19700/50000 || Lr: 0.012743 || Task Loss: 0.1069 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:19:58 || Estimated Time: 1 day, 5:44:05
2023-07-20 08:40:32,809 semantic_segmentation INFO: Iters: 19710/50000 || Lr: 0.012739 || Task Loss: 0.1210 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1143|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:20:36 || Estimated Time: 1 day, 5:43:34
2023-07-20 08:41:11,137 semantic_segmentation INFO: Iters: 19720/50000 || Lr: 0.012735 || Task Loss: 0.1353 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0827|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:21:14 || Estimated Time: 1 day, 5:43:03
2023-07-20 08:41:49,266 semantic_segmentation INFO: Iters: 19730/50000 || Lr: 0.012732 || Task Loss: 0.1083 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:21:52 || Estimated Time: 1 day, 5:42:32
2023-07-20 08:42:27,463 semantic_segmentation INFO: Iters: 19740/50000 || Lr: 0.012728 || Task Loss: 0.1409 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:22:31 || Estimated Time: 1 day, 5:42:01
2023-07-20 08:43:05,688 semantic_segmentation INFO: Iters: 19750/50000 || Lr: 0.012724 || Task Loss: 0.1105 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:23:09 || Estimated Time: 1 day, 5:41:30
2023-07-20 08:43:43,976 semantic_segmentation INFO: Iters: 19760/50000 || Lr: 0.012720 || Task Loss: 0.1199 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:23:47 || Estimated Time: 1 day, 5:40:59
2023-07-20 08:44:22,513 semantic_segmentation INFO: Iters: 19770/50000 || Lr: 0.012716 || Task Loss: 0.1391 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:24:26 || Estimated Time: 1 day, 5:40:29
2023-07-20 08:45:00,547 semantic_segmentation INFO: Iters: 19780/50000 || Lr: 0.012713 || Task Loss: 0.1391 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:25:04 || Estimated Time: 1 day, 5:39:57
2023-07-20 08:45:38,707 semantic_segmentation INFO: Iters: 19790/50000 || Lr: 0.012709 || Task Loss: 0.1306 || KD Loss: 0.0395|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:25:42 || Estimated Time: 1 day, 5:39:26
2023-07-20 08:46:17,213 semantic_segmentation INFO: Iters: 19800/50000 || Lr: 0.012705 || Task Loss: 0.1188 || KD Loss: 0.0395|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1108|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:26:20 || Estimated Time: 1 day, 5:38:56
2023-07-20 08:46:55,551 semantic_segmentation INFO: Iters: 19810/50000 || Lr: 0.012701 || Task Loss: 0.1054 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:26:59 || Estimated Time: 1 day, 5:38:25
2023-07-20 08:47:33,483 semantic_segmentation INFO: Iters: 19820/50000 || Lr: 0.012697 || Task Loss: 0.1159 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:27:37 || Estimated Time: 1 day, 5:37:54
2023-07-20 08:48:11,873 semantic_segmentation INFO: Iters: 19830/50000 || Lr: 0.012694 || Task Loss: 0.1256 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:28:15 || Estimated Time: 1 day, 5:37:23
2023-07-20 08:48:49,597 semantic_segmentation INFO: Iters: 19840/50000 || Lr: 0.012690 || Task Loss: 0.1127 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:28:53 || Estimated Time: 1 day, 5:36:51
2023-07-20 08:49:27,952 semantic_segmentation INFO: Iters: 19850/50000 || Lr: 0.012686 || Task Loss: 0.1326 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1142|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:29:31 || Estimated Time: 1 day, 5:36:21
2023-07-20 08:50:06,542 semantic_segmentation INFO: Iters: 19860/50000 || Lr: 0.012682 || Task Loss: 0.1266 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:30:10 || Estimated Time: 1 day, 5:35:50
2023-07-20 08:50:44,741 semantic_segmentation INFO: Iters: 19870/50000 || Lr: 0.012679 || Task Loss: 0.1269 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:30:48 || Estimated Time: 1 day, 5:35:19
2023-07-20 08:51:23,246 semantic_segmentation INFO: Iters: 19880/50000 || Lr: 0.012675 || Task Loss: 0.1316 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:31:26 || Estimated Time: 1 day, 5:34:48
2023-07-20 08:52:02,080 semantic_segmentation INFO: Iters: 19890/50000 || Lr: 0.012671 || Task Loss: 0.1427 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:32:05 || Estimated Time: 1 day, 5:34:18
2023-07-20 08:52:40,362 semantic_segmentation INFO: Iters: 19900/50000 || Lr: 0.012667 || Task Loss: 0.1386 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:32:43 || Estimated Time: 1 day, 5:33:47
2023-07-20 08:53:18,705 semantic_segmentation INFO: Iters: 19910/50000 || Lr: 0.012663 || Task Loss: 0.1132 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:33:22 || Estimated Time: 1 day, 5:33:16
2023-07-20 08:53:57,041 semantic_segmentation INFO: Iters: 19920/50000 || Lr: 0.012660 || Task Loss: 0.1244 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1177|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:34:00 || Estimated Time: 1 day, 5:32:46
2023-07-20 08:54:35,533 semantic_segmentation INFO: Iters: 19930/50000 || Lr: 0.012656 || Task Loss: 0.1225 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0853|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:34:39 || Estimated Time: 1 day, 5:32:15
2023-07-20 08:55:13,558 semantic_segmentation INFO: Iters: 19940/50000 || Lr: 0.012652 || Task Loss: 0.1047 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:35:17 || Estimated Time: 1 day, 5:31:44
2023-07-20 08:55:52,066 semantic_segmentation INFO: Iters: 19950/50000 || Lr: 0.012648 || Task Loss: 0.1154 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:35:55 || Estimated Time: 1 day, 5:31:13
2023-07-20 08:56:30,897 semantic_segmentation INFO: Iters: 19960/50000 || Lr: 0.012644 || Task Loss: 0.1128 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:36:34 || Estimated Time: 1 day, 5:30:43
2023-07-20 08:57:09,043 semantic_segmentation INFO: Iters: 19970/50000 || Lr: 0.012641 || Task Loss: 0.1332 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:37:12 || Estimated Time: 1 day, 5:30:12
2023-07-20 08:57:47,825 semantic_segmentation INFO: Iters: 19980/50000 || Lr: 0.012637 || Task Loss: 0.1177 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:37:51 || Estimated Time: 1 day, 5:29:42
2023-07-20 08:58:26,154 semantic_segmentation INFO: Iters: 19990/50000 || Lr: 0.012633 || Task Loss: 0.1386 || KD Loss: 0.0431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:38:29 || Estimated Time: 1 day, 5:29:11
2023-07-20 08:59:05,105 semantic_segmentation INFO: Iters: 20000/50000 || Lr: 0.012629 || Task Loss: 0.1258 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1122|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:39:08 || Estimated Time: 1 day, 5:28:41
2023-07-20 08:59:05,177 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 08:59:05,538 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.957, mIoU: 0.689
2023-07-20 08:59:05,575 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 08:59:05,588 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 08:59:05,601 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.958, mIoU: 0.689
2023-07-20 08:59:05,614 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.958, mIoU: 0.684
2023-07-20 08:59:05,628 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.957, mIoU: 0.682
2023-07-20 08:59:05,642 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.957, mIoU: 0.681
2023-07-20 08:59:05,656 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.957, mIoU: 0.682
2023-07-20 08:59:05,670 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.957, mIoU: 0.683
2023-07-20 08:59:05,684 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.684
2023-07-20 08:59:05,698 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.957, mIoU: 0.685
2023-07-20 08:59:05,712 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.956, mIoU: 0.684
2023-07-20 08:59:05,726 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.956, mIoU: 0.685
2023-07-20 08:59:05,739 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 08:59:05,753 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 08:59:05,767 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 08:59:05,781 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-20 08:59:05,795 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.955, mIoU: 0.683
2023-07-20 08:59:05,810 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 08:59:05,824 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.953, mIoU: 0.679
2023-07-20 08:59:05,838 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.953, mIoU: 0.679
2023-07-20 08:59:05,852 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.952, mIoU: 0.677
2023-07-20 08:59:05,867 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.952, mIoU: 0.676
2023-07-20 08:59:05,881 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.951, mIoU: 0.674
2023-07-20 08:59:05,895 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.951, mIoU: 0.673
2023-07-20 08:59:05,909 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.951, mIoU: 0.674
2023-07-20 08:59:05,924 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.951, mIoU: 0.674
2023-07-20 08:59:05,938 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.951, mIoU: 0.674
2023-07-20 08:59:05,952 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.951, mIoU: 0.675
2023-07-20 08:59:05,966 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.951, mIoU: 0.676
2023-07-20 08:59:05,981 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.951, mIoU: 0.677
2023-07-20 08:59:05,996 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 08:59:06,011 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 08:59:06,026 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 08:59:06,041 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 08:59:06,057 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.682
2023-07-20 08:59:06,072 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.682
2023-07-20 08:59:06,087 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.683
2023-07-20 08:59:06,101 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.684
2023-07-20 08:59:06,115 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.685
2023-07-20 08:59:06,130 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.687
2023-07-20 08:59:06,144 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-20 08:59:06,159 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-20 08:59:06,173 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-20 08:59:06,188 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-20 08:59:06,202 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.694
2023-07-20 08:59:06,217 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.695
2023-07-20 08:59:06,231 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 08:59:06,246 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.698
2023-07-20 08:59:06,260 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.698
2023-07-20 08:59:06,275 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.698
2023-07-20 08:59:06,289 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.698
2023-07-20 08:59:06,304 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.699
2023-07-20 08:59:06,318 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.947, mIoU: 0.699
2023-07-20 08:59:06,333 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.700
2023-07-20 08:59:06,347 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.700
2023-07-20 08:59:06,361 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.946, mIoU: 0.701
2023-07-20 08:59:06,376 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.701
2023-07-20 08:59:06,390 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.703
2023-07-20 08:59:06,405 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.703
2023-07-20 08:59:06,419 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.704
2023-07-20 08:59:06,434 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.705
2023-07-20 08:59:06,448 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.707
2023-07-20 08:59:06,463 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.708
2023-07-20 08:59:06,477 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.708
2023-07-20 08:59:06,492 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.709
2023-07-20 08:59:06,506 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.710
2023-07-20 08:59:06,521 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.711
2023-07-20 08:59:06,535 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.713
2023-07-20 08:59:06,549 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 08:59:06,564 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 08:59:06,578 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 08:59:06,593 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 08:59:06,607 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-20 08:59:06,622 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 08:59:06,636 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 08:59:06,651 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-20 08:59:06,665 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-20 08:59:06,680 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-20 08:59:06,694 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 08:59:06,709 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 08:59:06,723 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-20 08:59:06,738 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-20 08:59:06,752 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-20 08:59:06,766 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 08:59:06,781 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 08:59:06,795 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 08:59:06,809 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 08:59:06,823 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 08:59:06,838 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 08:59:06,852 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 08:59:06,866 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 08:59:06,881 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 08:59:06,895 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 08:59:06,909 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 08:59:06,923 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 08:59:06,938 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 08:59:06,952 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 08:59:06,966 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 08:59:06,980 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-20 08:59:06,995 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 08:59:44,931 semantic_segmentation INFO: Iters: 20010/50000 || Lr: 0.012626 || Task Loss: 0.1191 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:39:48 || Estimated Time: 1 day, 5:28:12
2023-07-20 09:00:23,860 semantic_segmentation INFO: Iters: 20020/50000 || Lr: 0.012622 || Task Loss: 0.1159 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:40:27 || Estimated Time: 1 day, 5:27:42
2023-07-20 09:01:01,942 semantic_segmentation INFO: Iters: 20030/50000 || Lr: 0.012618 || Task Loss: 0.1145 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:41:05 || Estimated Time: 1 day, 5:27:11
2023-07-20 09:01:40,762 semantic_segmentation INFO: Iters: 20040/50000 || Lr: 0.012614 || Task Loss: 0.1137 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:41:44 || Estimated Time: 1 day, 5:26:40
2023-07-20 09:02:19,202 semantic_segmentation INFO: Iters: 20050/50000 || Lr: 0.012610 || Task Loss: 0.1193 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:42:22 || Estimated Time: 1 day, 5:26:09
2023-07-20 09:02:57,708 semantic_segmentation INFO: Iters: 20060/50000 || Lr: 0.012607 || Task Loss: 0.1118 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:43:01 || Estimated Time: 1 day, 5:25:39
2023-07-20 09:03:36,316 semantic_segmentation INFO: Iters: 20070/50000 || Lr: 0.012603 || Task Loss: 0.1209 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:43:39 || Estimated Time: 1 day, 5:25:08
2023-07-20 09:04:15,193 semantic_segmentation INFO: Iters: 20080/50000 || Lr: 0.012599 || Task Loss: 0.1154 || KD Loss: 0.0395|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1186|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:44:18 || Estimated Time: 1 day, 5:24:38
2023-07-20 09:04:53,590 semantic_segmentation INFO: Iters: 20090/50000 || Lr: 0.012595 || Task Loss: 0.1137 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:44:57 || Estimated Time: 1 day, 5:24:07
2023-07-20 09:05:32,313 semantic_segmentation INFO: Iters: 20100/50000 || Lr: 0.012591 || Task Loss: 0.1324 || KD Loss: 0.0412|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:45:35 || Estimated Time: 1 day, 5:23:37
2023-07-20 09:06:10,939 semantic_segmentation INFO: Iters: 20110/50000 || Lr: 0.012588 || Task Loss: 0.1343 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:46:14 || Estimated Time: 1 day, 5:23:06
2023-07-20 09:06:49,314 semantic_segmentation INFO: Iters: 20120/50000 || Lr: 0.012584 || Task Loss: 0.1252 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:46:52 || Estimated Time: 1 day, 5:22:35
2023-07-20 09:07:27,427 semantic_segmentation INFO: Iters: 20130/50000 || Lr: 0.012580 || Task Loss: 0.1215 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:47:31 || Estimated Time: 1 day, 5:22:04
2023-07-20 09:08:06,211 semantic_segmentation INFO: Iters: 20140/50000 || Lr: 0.012576 || Task Loss: 0.1274 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:48:09 || Estimated Time: 1 day, 5:21:33
2023-07-20 09:08:44,898 semantic_segmentation INFO: Iters: 20150/50000 || Lr: 0.012572 || Task Loss: 0.1194 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:48:48 || Estimated Time: 1 day, 5:21:03
2023-07-20 09:09:23,364 semantic_segmentation INFO: Iters: 20160/50000 || Lr: 0.012569 || Task Loss: 0.1237 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:49:26 || Estimated Time: 1 day, 5:20:32
2023-07-20 09:10:02,150 semantic_segmentation INFO: Iters: 20170/50000 || Lr: 0.012565 || Task Loss: 0.1083 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:50:05 || Estimated Time: 1 day, 5:20:02
2023-07-20 09:10:40,138 semantic_segmentation INFO: Iters: 20180/50000 || Lr: 0.012561 || Task Loss: 0.1154 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1175|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:50:43 || Estimated Time: 1 day, 5:19:30
2023-07-20 09:11:18,084 semantic_segmentation INFO: Iters: 20190/50000 || Lr: 0.012557 || Task Loss: 0.1179 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:51:21 || Estimated Time: 1 day, 5:18:58
2023-07-20 09:11:56,403 semantic_segmentation INFO: Iters: 20200/50000 || Lr: 0.012553 || Task Loss: 0.1362 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:52:00 || Estimated Time: 1 day, 5:18:27
2023-07-20 09:12:34,622 semantic_segmentation INFO: Iters: 20210/50000 || Lr: 0.012550 || Task Loss: 0.1300 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0884|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:52:38 || Estimated Time: 1 day, 5:17:56
2023-07-20 09:13:12,501 semantic_segmentation INFO: Iters: 20220/50000 || Lr: 0.012546 || Task Loss: 0.1214 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:53:16 || Estimated Time: 1 day, 5:17:24
2023-07-20 09:13:50,970 semantic_segmentation INFO: Iters: 20230/50000 || Lr: 0.012542 || Task Loss: 0.1285 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1134|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:53:54 || Estimated Time: 1 day, 5:16:53
2023-07-20 09:14:28,391 semantic_segmentation INFO: Iters: 20240/50000 || Lr: 0.012538 || Task Loss: 0.1251 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:54:31 || Estimated Time: 1 day, 5:16:21
2023-07-20 09:15:06,911 semantic_segmentation INFO: Iters: 20250/50000 || Lr: 0.012535 || Task Loss: 0.1407 || KD Loss: 0.0415|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:55:10 || Estimated Time: 1 day, 5:15:50
2023-07-20 09:15:44,502 semantic_segmentation INFO: Iters: 20260/50000 || Lr: 0.012531 || Task Loss: 0.1582 || KD Loss: 0.0504|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1157|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:55:48 || Estimated Time: 1 day, 5:15:18
2023-07-20 09:16:22,094 semantic_segmentation INFO: Iters: 20270/50000 || Lr: 0.012527 || Task Loss: 0.1145 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:56:25 || Estimated Time: 1 day, 5:14:46
2023-07-20 09:16:59,829 semantic_segmentation INFO: Iters: 20280/50000 || Lr: 0.012523 || Task Loss: 0.1413 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:57:03 || Estimated Time: 1 day, 5:14:14
2023-07-20 09:17:37,663 semantic_segmentation INFO: Iters: 20290/50000 || Lr: 0.012519 || Task Loss: 0.1336 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:57:41 || Estimated Time: 1 day, 5:13:42
2023-07-20 09:18:15,315 semantic_segmentation INFO: Iters: 20300/50000 || Lr: 0.012516 || Task Loss: 0.1223 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:58:18 || Estimated Time: 1 day, 5:13:10
2023-07-20 09:18:53,737 semantic_segmentation INFO: Iters: 20310/50000 || Lr: 0.012512 || Task Loss: 0.1185 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:58:57 || Estimated Time: 1 day, 5:12:39
2023-07-20 09:19:31,127 semantic_segmentation INFO: Iters: 20320/50000 || Lr: 0.012508 || Task Loss: 0.1125 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:59:34 || Estimated Time: 1 day, 5:12:06
2023-07-20 09:20:08,771 semantic_segmentation INFO: Iters: 20330/50000 || Lr: 0.012504 || Task Loss: 0.1081 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:00:12 || Estimated Time: 1 day, 5:11:34
2023-07-20 09:20:46,894 semantic_segmentation INFO: Iters: 20340/50000 || Lr: 0.012500 || Task Loss: 0.1177 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:00:50 || Estimated Time: 1 day, 5:11:02
2023-07-20 09:21:24,039 semantic_segmentation INFO: Iters: 20350/50000 || Lr: 0.012497 || Task Loss: 0.1289 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:01:27 || Estimated Time: 1 day, 5:10:30
2023-07-20 09:22:01,607 semantic_segmentation INFO: Iters: 20360/50000 || Lr: 0.012493 || Task Loss: 0.1369 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:02:05 || Estimated Time: 1 day, 5:09:57
2023-07-20 09:22:39,175 semantic_segmentation INFO: Iters: 20370/50000 || Lr: 0.012489 || Task Loss: 0.1223 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:02:42 || Estimated Time: 1 day, 5:09:25
2023-07-20 09:23:16,499 semantic_segmentation INFO: Iters: 20380/50000 || Lr: 0.012485 || Task Loss: 0.1318 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:03:20 || Estimated Time: 1 day, 5:08:52
2023-07-20 09:23:54,464 semantic_segmentation INFO: Iters: 20390/50000 || Lr: 0.012481 || Task Loss: 0.1273 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:03:58 || Estimated Time: 1 day, 5:08:20
2023-07-20 09:24:31,613 semantic_segmentation INFO: Iters: 20400/50000 || Lr: 0.012478 || Task Loss: 0.1318 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:04:35 || Estimated Time: 1 day, 5:07:48
2023-07-20 09:25:09,181 semantic_segmentation INFO: Iters: 20410/50000 || Lr: 0.012474 || Task Loss: 0.1284 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:05:12 || Estimated Time: 1 day, 5:07:15
2023-07-20 09:25:46,631 semantic_segmentation INFO: Iters: 20420/50000 || Lr: 0.012470 || Task Loss: 0.1312 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:05:50 || Estimated Time: 1 day, 5:06:43
2023-07-20 09:26:24,082 semantic_segmentation INFO: Iters: 20430/50000 || Lr: 0.012466 || Task Loss: 0.1134 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:06:27 || Estimated Time: 1 day, 5:06:10
2023-07-20 09:27:01,277 semantic_segmentation INFO: Iters: 20440/50000 || Lr: 0.012462 || Task Loss: 0.1153 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:07:04 || Estimated Time: 1 day, 5:05:37
2023-07-20 09:27:38,303 semantic_segmentation INFO: Iters: 20450/50000 || Lr: 0.012459 || Task Loss: 0.1213 || KD Loss: 0.0376|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1190|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:07:41 || Estimated Time: 1 day, 5:05:04
2023-07-20 09:28:15,586 semantic_segmentation INFO: Iters: 20460/50000 || Lr: 0.012455 || Task Loss: 0.1042 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:08:19 || Estimated Time: 1 day, 5:04:31
2023-07-20 09:28:53,532 semantic_segmentation INFO: Iters: 20470/50000 || Lr: 0.012451 || Task Loss: 0.1186 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:08:57 || Estimated Time: 1 day, 5:04:00
2023-07-20 09:29:30,422 semantic_segmentation INFO: Iters: 20480/50000 || Lr: 0.012447 || Task Loss: 0.1218 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:09:34 || Estimated Time: 1 day, 5:03:26
2023-07-20 09:30:07,648 semantic_segmentation INFO: Iters: 20490/50000 || Lr: 0.012443 || Task Loss: 0.1095 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1100|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:10:11 || Estimated Time: 1 day, 5:02:53
2023-07-20 09:30:44,803 semantic_segmentation INFO: Iters: 20500/50000 || Lr: 0.012440 || Task Loss: 0.1462 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:10:48 || Estimated Time: 1 day, 5:02:21
2023-07-20 09:31:22,062 semantic_segmentation INFO: Iters: 20510/50000 || Lr: 0.012436 || Task Loss: 0.1243 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1073|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:11:25 || Estimated Time: 1 day, 5:01:48
2023-07-20 09:31:59,414 semantic_segmentation INFO: Iters: 20520/50000 || Lr: 0.012432 || Task Loss: 0.1190 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:12:03 || Estimated Time: 1 day, 5:01:15
2023-07-20 09:32:36,406 semantic_segmentation INFO: Iters: 20530/50000 || Lr: 0.012428 || Task Loss: 0.1326 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:12:40 || Estimated Time: 1 day, 5:00:42
2023-07-20 09:33:13,867 semantic_segmentation INFO: Iters: 20540/50000 || Lr: 0.012425 || Task Loss: 0.1452 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0779|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:13:17 || Estimated Time: 1 day, 5:00:09
2023-07-20 09:33:51,003 semantic_segmentation INFO: Iters: 20550/50000 || Lr: 0.012421 || Task Loss: 0.1429 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:13:54 || Estimated Time: 1 day, 4:59:36
2023-07-20 09:34:28,328 semantic_segmentation INFO: Iters: 20560/50000 || Lr: 0.012417 || Task Loss: 0.1179 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:14:31 || Estimated Time: 1 day, 4:59:03
2023-07-20 09:35:05,566 semantic_segmentation INFO: Iters: 20570/50000 || Lr: 0.012413 || Task Loss: 0.1037 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1083|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:15:09 || Estimated Time: 1 day, 4:58:31
2023-07-20 09:35:42,561 semantic_segmentation INFO: Iters: 20580/50000 || Lr: 0.012409 || Task Loss: 0.1332 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:15:46 || Estimated Time: 1 day, 4:57:57
2023-07-20 09:36:19,426 semantic_segmentation INFO: Iters: 20590/50000 || Lr: 0.012406 || Task Loss: 0.1289 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:16:23 || Estimated Time: 1 day, 4:57:24
2023-07-20 09:36:56,398 semantic_segmentation INFO: Iters: 20600/50000 || Lr: 0.012402 || Task Loss: 0.1140 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:16:59 || Estimated Time: 1 day, 4:56:51
2023-07-20 09:37:33,283 semantic_segmentation INFO: Iters: 20610/50000 || Lr: 0.012398 || Task Loss: 0.1208 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:17:36 || Estimated Time: 1 day, 4:56:17
2023-07-20 09:38:10,094 semantic_segmentation INFO: Iters: 20620/50000 || Lr: 0.012394 || Task Loss: 0.1094 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:18:13 || Estimated Time: 1 day, 4:55:44
2023-07-20 09:38:47,004 semantic_segmentation INFO: Iters: 20630/50000 || Lr: 0.012390 || Task Loss: 0.1275 || KD Loss: 0.0450|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1256|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:18:50 || Estimated Time: 1 day, 4:55:10
2023-07-20 09:39:23,998 semantic_segmentation INFO: Iters: 20640/50000 || Lr: 0.012387 || Task Loss: 0.1283 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:19:27 || Estimated Time: 1 day, 4:54:37
2023-07-20 09:40:00,892 semantic_segmentation INFO: Iters: 20650/50000 || Lr: 0.012383 || Task Loss: 0.1223 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:20:04 || Estimated Time: 1 day, 4:54:04
2023-07-20 09:40:37,934 semantic_segmentation INFO: Iters: 20660/50000 || Lr: 0.012379 || Task Loss: 0.1321 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:20:41 || Estimated Time: 1 day, 4:53:31
2023-07-20 09:41:14,043 semantic_segmentation INFO: Iters: 20670/50000 || Lr: 0.012375 || Task Loss: 0.1122 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:21:17 || Estimated Time: 1 day, 4:52:56
2023-07-20 09:41:50,538 semantic_segmentation INFO: Iters: 20680/50000 || Lr: 0.012371 || Task Loss: 0.1126 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:21:54 || Estimated Time: 1 day, 4:52:22
2023-07-20 09:42:27,426 semantic_segmentation INFO: Iters: 20690/50000 || Lr: 0.012368 || Task Loss: 0.1138 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:22:31 || Estimated Time: 1 day, 4:51:49
2023-07-20 09:43:03,707 semantic_segmentation INFO: Iters: 20700/50000 || Lr: 0.012364 || Task Loss: 0.1133 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:23:07 || Estimated Time: 1 day, 4:51:14
2023-07-20 09:43:40,424 semantic_segmentation INFO: Iters: 20710/50000 || Lr: 0.012360 || Task Loss: 0.1226 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:23:44 || Estimated Time: 1 day, 4:50:41
2023-07-20 09:44:16,521 semantic_segmentation INFO: Iters: 20720/50000 || Lr: 0.012356 || Task Loss: 0.1154 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:24:20 || Estimated Time: 1 day, 4:50:06
2023-07-20 09:44:53,090 semantic_segmentation INFO: Iters: 20730/50000 || Lr: 0.012352 || Task Loss: 0.1047 || KD Loss: 0.0376|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:24:56 || Estimated Time: 1 day, 4:49:32
2023-07-20 09:45:29,469 semantic_segmentation INFO: Iters: 20740/50000 || Lr: 0.012349 || Task Loss: 0.1208 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:25:33 || Estimated Time: 1 day, 4:48:58
2023-07-20 09:46:05,629 semantic_segmentation INFO: Iters: 20750/50000 || Lr: 0.012345 || Task Loss: 0.1253 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:26:09 || Estimated Time: 1 day, 4:48:24
2023-07-20 09:46:41,202 semantic_segmentation INFO: Iters: 20760/50000 || Lr: 0.012341 || Task Loss: 0.1067 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:26:44 || Estimated Time: 1 day, 4:47:48
2023-07-20 09:47:16,985 semantic_segmentation INFO: Iters: 20770/50000 || Lr: 0.012337 || Task Loss: 0.1245 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:27:20 || Estimated Time: 1 day, 4:47:14
2023-07-20 09:47:52,343 semantic_segmentation INFO: Iters: 20780/50000 || Lr: 0.012333 || Task Loss: 0.1359 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:27:55 || Estimated Time: 1 day, 4:46:38
2023-07-20 09:48:28,122 semantic_segmentation INFO: Iters: 20790/50000 || Lr: 0.012330 || Task Loss: 0.1219 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:28:31 || Estimated Time: 1 day, 4:46:03
2023-07-20 09:49:03,633 semantic_segmentation INFO: Iters: 20800/50000 || Lr: 0.012326 || Task Loss: 0.1116 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:29:07 || Estimated Time: 1 day, 4:45:28
2023-07-20 09:49:03,699 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 09:49:04,079 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-20 09:49:04,104 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.704
2023-07-20 09:49:04,118 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-20 09:49:04,132 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 09:49:04,146 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 09:49:04,159 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.958, mIoU: 0.691
2023-07-20 09:49:04,173 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.958, mIoU: 0.690
2023-07-20 09:49:04,186 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.958, mIoU: 0.690
2023-07-20 09:49:04,200 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.958, mIoU: 0.691
2023-07-20 09:49:04,213 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-20 09:49:04,227 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-20 09:49:04,240 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.692
2023-07-20 09:49:04,254 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 09:49:04,268 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 09:49:04,283 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-20 09:49:04,297 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-20 09:49:04,311 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 09:49:04,325 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-20 09:49:04,339 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-20 09:49:04,353 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 09:49:04,367 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 09:49:04,381 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 09:49:04,395 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 09:49:04,409 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 09:49:04,423 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 09:49:04,437 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 09:49:04,453 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 09:49:04,468 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 09:49:04,483 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 09:49:04,498 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 09:49:04,513 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.683
2023-07-20 09:49:04,528 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-20 09:49:04,543 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-20 09:49:04,558 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 09:49:04,573 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-20 09:49:04,587 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-20 09:49:04,602 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.689
2023-07-20 09:49:04,616 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 09:49:04,631 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.691
2023-07-20 09:49:04,645 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 09:49:04,659 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.693
2023-07-20 09:49:04,674 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.694
2023-07-20 09:49:04,688 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.696
2023-07-20 09:49:04,702 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.698
2023-07-20 09:49:04,717 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.698
2023-07-20 09:49:04,731 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.700
2023-07-20 09:49:04,745 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.701
2023-07-20 09:49:04,759 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.702
2023-07-20 09:49:04,774 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 09:49:04,788 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 09:49:04,802 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 09:49:04,816 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 09:49:04,830 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 09:49:04,845 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 09:49:04,859 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 09:49:04,874 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.703
2023-07-20 09:49:04,889 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.703
2023-07-20 09:49:04,904 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 09:49:04,919 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.704
2023-07-20 09:49:04,934 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.705
2023-07-20 09:49:04,948 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-20 09:49:04,963 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.706
2023-07-20 09:49:04,978 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.707
2023-07-20 09:49:04,993 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-20 09:49:05,007 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.708
2023-07-20 09:49:05,022 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.708
2023-07-20 09:49:05,037 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.708
2023-07-20 09:49:05,051 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.709
2023-07-20 09:49:05,065 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.709
2023-07-20 09:49:05,080 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.710
2023-07-20 09:49:05,094 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.710
2023-07-20 09:49:05,108 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.709
2023-07-20 09:49:05,122 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.709
2023-07-20 09:49:05,136 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-20 09:49:05,150 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.708
2023-07-20 09:49:05,164 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.938, mIoU: 0.707
2023-07-20 09:49:05,178 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.706
2023-07-20 09:49:05,192 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.705
2023-07-20 09:49:05,206 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-20 09:49:05,220 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-20 09:49:05,233 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 09:49:05,247 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 09:49:05,261 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 09:49:05,276 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-20 09:49:05,291 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 09:49:05,305 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.933, mIoU: 0.695
2023-07-20 09:49:05,319 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.933, mIoU: 0.694
2023-07-20 09:49:05,333 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.933, mIoU: 0.692
2023-07-20 09:49:05,347 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.932, mIoU: 0.690
2023-07-20 09:49:05,361 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.932, mIoU: 0.688
2023-07-20 09:49:05,375 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.932, mIoU: 0.687
2023-07-20 09:49:05,389 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.932, mIoU: 0.687
2023-07-20 09:49:05,403 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 09:49:05,417 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 09:49:05,431 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 09:49:05,445 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 09:49:05,460 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 09:49:05,475 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-20 09:49:05,489 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-20 09:49:05,504 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-20 09:49:05,519 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.934, mIoU: 0.685
2023-07-20 09:49:41,201 semantic_segmentation INFO: Iters: 20810/50000 || Lr: 0.012322 || Task Loss: 0.1239 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:29:44 || Estimated Time: 1 day, 4:44:55
2023-07-20 09:50:16,357 semantic_segmentation INFO: Iters: 20820/50000 || Lr: 0.012318 || Task Loss: 0.1134 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:30:19 || Estimated Time: 1 day, 4:44:19
2023-07-20 09:50:51,895 semantic_segmentation INFO: Iters: 20830/50000 || Lr: 0.012314 || Task Loss: 0.1168 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:30:55 || Estimated Time: 1 day, 4:43:44
2023-07-20 09:51:27,229 semantic_segmentation INFO: Iters: 20840/50000 || Lr: 0.012311 || Task Loss: 0.1322 || KD Loss: 0.0403|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:31:30 || Estimated Time: 1 day, 4:43:08
2023-07-20 09:52:02,860 semantic_segmentation INFO: Iters: 20850/50000 || Lr: 0.012307 || Task Loss: 0.1285 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:32:06 || Estimated Time: 1 day, 4:42:33
2023-07-20 09:52:38,071 semantic_segmentation INFO: Iters: 20860/50000 || Lr: 0.012303 || Task Loss: 0.1108 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:32:41 || Estimated Time: 1 day, 4:41:57
2023-07-20 09:53:13,504 semantic_segmentation INFO: Iters: 20870/50000 || Lr: 0.012299 || Task Loss: 0.1221 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:33:17 || Estimated Time: 1 day, 4:41:22
2023-07-20 09:53:48,939 semantic_segmentation INFO: Iters: 20880/50000 || Lr: 0.012295 || Task Loss: 0.1199 || KD Loss: 0.0471|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1223|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:33:52 || Estimated Time: 1 day, 4:40:46
2023-07-20 09:54:24,759 semantic_segmentation INFO: Iters: 20890/50000 || Lr: 0.012292 || Task Loss: 0.1275 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:34:28 || Estimated Time: 1 day, 4:40:11
2023-07-20 09:55:00,371 semantic_segmentation INFO: Iters: 20900/50000 || Lr: 0.012288 || Task Loss: 0.1245 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:35:03 || Estimated Time: 1 day, 4:39:36
2023-07-20 09:55:36,119 semantic_segmentation INFO: Iters: 20910/50000 || Lr: 0.012284 || Task Loss: 0.1178 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:35:39 || Estimated Time: 1 day, 4:39:01
2023-07-20 09:56:11,821 semantic_segmentation INFO: Iters: 20920/50000 || Lr: 0.012280 || Task Loss: 0.1053 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:36:15 || Estimated Time: 1 day, 4:38:26
2023-07-20 09:56:46,651 semantic_segmentation INFO: Iters: 20930/50000 || Lr: 0.012276 || Task Loss: 0.1071 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:36:50 || Estimated Time: 1 day, 4:37:50
2023-07-20 09:57:22,125 semantic_segmentation INFO: Iters: 20940/50000 || Lr: 0.012273 || Task Loss: 0.1266 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1134|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:37:25 || Estimated Time: 1 day, 4:37:14
2023-07-20 09:57:56,725 semantic_segmentation INFO: Iters: 20950/50000 || Lr: 0.012269 || Task Loss: 0.1168 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:38:00 || Estimated Time: 1 day, 4:36:38
2023-07-20 09:58:31,757 semantic_segmentation INFO: Iters: 20960/50000 || Lr: 0.012265 || Task Loss: 0.1279 || KD Loss: 0.0426|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:38:35 || Estimated Time: 1 day, 4:36:02
2023-07-20 09:59:07,185 semantic_segmentation INFO: Iters: 20970/50000 || Lr: 0.012261 || Task Loss: 0.1229 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:39:10 || Estimated Time: 1 day, 4:35:26
2023-07-20 09:59:42,347 semantic_segmentation INFO: Iters: 20980/50000 || Lr: 0.012257 || Task Loss: 0.1260 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:39:45 || Estimated Time: 1 day, 4:34:50
2023-07-20 10:00:18,046 semantic_segmentation INFO: Iters: 20990/50000 || Lr: 0.012254 || Task Loss: 0.1298 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:40:21 || Estimated Time: 1 day, 4:34:15
2023-07-20 10:00:53,800 semantic_segmentation INFO: Iters: 21000/50000 || Lr: 0.012250 || Task Loss: 0.1181 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:40:57 || Estimated Time: 1 day, 4:33:40
2023-07-20 10:01:29,374 semantic_segmentation INFO: Iters: 21010/50000 || Lr: 0.012246 || Task Loss: 0.1021 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:41:32 || Estimated Time: 1 day, 4:33:05
2023-07-20 10:02:04,116 semantic_segmentation INFO: Iters: 21020/50000 || Lr: 0.012242 || Task Loss: 0.1289 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:42:07 || Estimated Time: 1 day, 4:32:28
2023-07-20 10:02:39,558 semantic_segmentation INFO: Iters: 21030/50000 || Lr: 0.012238 || Task Loss: 0.1082 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:42:43 || Estimated Time: 1 day, 4:31:53
2023-07-20 10:03:14,616 semantic_segmentation INFO: Iters: 21040/50000 || Lr: 0.012235 || Task Loss: 0.1043 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:43:18 || Estimated Time: 1 day, 4:31:17
2023-07-20 10:03:49,775 semantic_segmentation INFO: Iters: 21050/50000 || Lr: 0.012231 || Task Loss: 0.1062 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1122|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:43:53 || Estimated Time: 1 day, 4:30:41
2023-07-20 10:04:25,028 semantic_segmentation INFO: Iters: 21060/50000 || Lr: 0.012227 || Task Loss: 0.1282 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:44:28 || Estimated Time: 1 day, 4:30:05
2023-07-20 10:04:59,624 semantic_segmentation INFO: Iters: 21070/50000 || Lr: 0.012223 || Task Loss: 0.1084 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:45:03 || Estimated Time: 1 day, 4:29:29
2023-07-20 10:05:34,456 semantic_segmentation INFO: Iters: 21080/50000 || Lr: 0.012219 || Task Loss: 0.1078 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:45:38 || Estimated Time: 1 day, 4:28:52
2023-07-20 10:06:09,655 semantic_segmentation INFO: Iters: 21090/50000 || Lr: 0.012216 || Task Loss: 0.1207 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:46:13 || Estimated Time: 1 day, 4:28:16
2023-07-20 10:06:44,374 semantic_segmentation INFO: Iters: 21100/50000 || Lr: 0.012212 || Task Loss: 0.1181 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:46:47 || Estimated Time: 1 day, 4:27:40
2023-07-20 10:07:19,157 semantic_segmentation INFO: Iters: 21110/50000 || Lr: 0.012208 || Task Loss: 0.1415 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:47:22 || Estimated Time: 1 day, 4:27:04
2023-07-20 10:07:54,026 semantic_segmentation INFO: Iters: 21120/50000 || Lr: 0.012204 || Task Loss: 0.1409 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:47:57 || Estimated Time: 1 day, 4:26:27
2023-07-20 10:08:29,546 semantic_segmentation INFO: Iters: 21130/50000 || Lr: 0.012200 || Task Loss: 0.1000 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:48:33 || Estimated Time: 1 day, 4:25:52
2023-07-20 10:09:05,015 semantic_segmentation INFO: Iters: 21140/50000 || Lr: 0.012197 || Task Loss: 0.1179 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:49:08 || Estimated Time: 1 day, 4:25:16
2023-07-20 10:09:39,873 semantic_segmentation INFO: Iters: 21150/50000 || Lr: 0.012193 || Task Loss: 0.1340 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:49:43 || Estimated Time: 1 day, 4:24:40
2023-07-20 10:10:14,613 semantic_segmentation INFO: Iters: 21160/50000 || Lr: 0.012189 || Task Loss: 0.1346 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:50:18 || Estimated Time: 1 day, 4:24:04
2023-07-20 10:10:49,672 semantic_segmentation INFO: Iters: 21170/50000 || Lr: 0.012185 || Task Loss: 0.1051 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:50:53 || Estimated Time: 1 day, 4:23:28
2023-07-20 10:11:24,675 semantic_segmentation INFO: Iters: 21180/50000 || Lr: 0.012181 || Task Loss: 0.1402 || KD Loss: 0.0408|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:51:28 || Estimated Time: 1 day, 4:22:52
2023-07-20 10:11:59,443 semantic_segmentation INFO: Iters: 21190/50000 || Lr: 0.012178 || Task Loss: 0.1055 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:52:03 || Estimated Time: 1 day, 4:22:15
2023-07-20 10:12:34,859 semantic_segmentation INFO: Iters: 21200/50000 || Lr: 0.012174 || Task Loss: 0.1199 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:52:38 || Estimated Time: 1 day, 4:21:40
2023-07-20 10:13:10,154 semantic_segmentation INFO: Iters: 21210/50000 || Lr: 0.012170 || Task Loss: 0.1035 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:53:13 || Estimated Time: 1 day, 4:21:04
2023-07-20 10:13:44,928 semantic_segmentation INFO: Iters: 21220/50000 || Lr: 0.012166 || Task Loss: 0.1257 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:53:48 || Estimated Time: 1 day, 4:20:28
2023-07-20 10:14:19,576 semantic_segmentation INFO: Iters: 21230/50000 || Lr: 0.012162 || Task Loss: 0.1225 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1299|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:54:23 || Estimated Time: 1 day, 4:19:51
2023-07-20 10:14:54,278 semantic_segmentation INFO: Iters: 21240/50000 || Lr: 0.012159 || Task Loss: 0.1161 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:54:57 || Estimated Time: 1 day, 4:19:15
2023-07-20 10:15:28,741 semantic_segmentation INFO: Iters: 21250/50000 || Lr: 0.012155 || Task Loss: 0.1171 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:55:32 || Estimated Time: 1 day, 4:18:38
2023-07-20 10:16:03,314 semantic_segmentation INFO: Iters: 21260/50000 || Lr: 0.012151 || Task Loss: 0.1172 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:56:06 || Estimated Time: 1 day, 4:18:02
2023-07-20 10:16:38,143 semantic_segmentation INFO: Iters: 21270/50000 || Lr: 0.012147 || Task Loss: 0.1234 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:56:41 || Estimated Time: 1 day, 4:17:25
2023-07-20 10:17:12,735 semantic_segmentation INFO: Iters: 21280/50000 || Lr: 0.012143 || Task Loss: 0.1209 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:57:16 || Estimated Time: 1 day, 4:16:49
2023-07-20 10:17:47,197 semantic_segmentation INFO: Iters: 21290/50000 || Lr: 0.012139 || Task Loss: 0.1115 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:57:50 || Estimated Time: 1 day, 4:16:12
2023-07-20 10:18:21,830 semantic_segmentation INFO: Iters: 21300/50000 || Lr: 0.012136 || Task Loss: 0.1181 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:58:25 || Estimated Time: 1 day, 4:15:35
2023-07-20 10:18:57,465 semantic_segmentation INFO: Iters: 21310/50000 || Lr: 0.012132 || Task Loss: 0.1318 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:59:01 || Estimated Time: 1 day, 4:15:00
2023-07-20 10:19:32,474 semantic_segmentation INFO: Iters: 21320/50000 || Lr: 0.012128 || Task Loss: 0.1262 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:59:36 || Estimated Time: 1 day, 4:14:24
2023-07-20 10:20:07,237 semantic_segmentation INFO: Iters: 21330/50000 || Lr: 0.012124 || Task Loss: 0.1343 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:00:10 || Estimated Time: 1 day, 4:13:48
2023-07-20 10:20:42,144 semantic_segmentation INFO: Iters: 21340/50000 || Lr: 0.012120 || Task Loss: 0.1246 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:00:45 || Estimated Time: 1 day, 4:13:12
2023-07-20 10:21:16,706 semantic_segmentation INFO: Iters: 21350/50000 || Lr: 0.012117 || Task Loss: 0.1012 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1097|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:01:20 || Estimated Time: 1 day, 4:12:35
2023-07-20 10:21:51,726 semantic_segmentation INFO: Iters: 21360/50000 || Lr: 0.012113 || Task Loss: 0.1041 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:01:55 || Estimated Time: 1 day, 4:11:59
2023-07-20 10:22:26,409 semantic_segmentation INFO: Iters: 21370/50000 || Lr: 0.012109 || Task Loss: 0.1135 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:02:30 || Estimated Time: 1 day, 4:11:22
2023-07-20 10:23:00,951 semantic_segmentation INFO: Iters: 21380/50000 || Lr: 0.012105 || Task Loss: 0.1187 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:03:04 || Estimated Time: 1 day, 4:10:46
2023-07-20 10:23:35,518 semantic_segmentation INFO: Iters: 21390/50000 || Lr: 0.012101 || Task Loss: 0.1211 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:03:39 || Estimated Time: 1 day, 4:10:09
2023-07-20 10:24:10,429 semantic_segmentation INFO: Iters: 21400/50000 || Lr: 0.012098 || Task Loss: 0.1285 || KD Loss: 0.0405|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:04:14 || Estimated Time: 1 day, 4:09:33
2023-07-20 10:24:45,192 semantic_segmentation INFO: Iters: 21410/50000 || Lr: 0.012094 || Task Loss: 0.1033 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0855|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:04:48 || Estimated Time: 1 day, 4:08:57
2023-07-20 10:25:19,716 semantic_segmentation INFO: Iters: 21420/50000 || Lr: 0.012090 || Task Loss: 0.1448 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:05:23 || Estimated Time: 1 day, 4:08:20
2023-07-20 10:25:54,638 semantic_segmentation INFO: Iters: 21430/50000 || Lr: 0.012086 || Task Loss: 0.1296 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:05:58 || Estimated Time: 1 day, 4:07:44
2023-07-20 10:26:29,477 semantic_segmentation INFO: Iters: 21440/50000 || Lr: 0.012082 || Task Loss: 0.1314 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:06:33 || Estimated Time: 1 day, 4:07:08
2023-07-20 10:27:04,060 semantic_segmentation INFO: Iters: 21450/50000 || Lr: 0.012079 || Task Loss: 0.1471 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:07:07 || Estimated Time: 1 day, 4:06:31
2023-07-20 10:27:39,072 semantic_segmentation INFO: Iters: 21460/50000 || Lr: 0.012075 || Task Loss: 0.1311 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:07:42 || Estimated Time: 1 day, 4:05:55
2023-07-20 10:28:13,702 semantic_segmentation INFO: Iters: 21470/50000 || Lr: 0.012071 || Task Loss: 0.1249 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1154|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:08:17 || Estimated Time: 1 day, 4:05:18
2023-07-20 10:28:48,673 semantic_segmentation INFO: Iters: 21480/50000 || Lr: 0.012067 || Task Loss: 0.1126 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1122|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:08:52 || Estimated Time: 1 day, 4:04:42
2023-07-20 10:29:23,338 semantic_segmentation INFO: Iters: 21490/50000 || Lr: 0.012063 || Task Loss: 0.1125 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:09:26 || Estimated Time: 1 day, 4:04:06
2023-07-20 10:29:58,185 semantic_segmentation INFO: Iters: 21500/50000 || Lr: 0.012060 || Task Loss: 0.1196 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:10:01 || Estimated Time: 1 day, 4:03:30
2023-07-20 10:30:33,006 semantic_segmentation INFO: Iters: 21510/50000 || Lr: 0.012056 || Task Loss: 0.1225 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1103|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:10:36 || Estimated Time: 1 day, 4:02:53
2023-07-20 10:31:07,974 semantic_segmentation INFO: Iters: 21520/50000 || Lr: 0.012052 || Task Loss: 0.1217 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:11:11 || Estimated Time: 1 day, 4:02:17
2023-07-20 10:31:42,943 semantic_segmentation INFO: Iters: 21530/50000 || Lr: 0.012048 || Task Loss: 0.1103 || KD Loss: 0.0411|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1202|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:11:46 || Estimated Time: 1 day, 4:01:41
2023-07-20 10:32:17,630 semantic_segmentation INFO: Iters: 21540/50000 || Lr: 0.012044 || Task Loss: 0.1143 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:12:21 || Estimated Time: 1 day, 4:01:05
2023-07-20 10:32:52,331 semantic_segmentation INFO: Iters: 21550/50000 || Lr: 0.012041 || Task Loss: 0.1337 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:12:55 || Estimated Time: 1 day, 4:00:28
2023-07-20 10:33:26,938 semantic_segmentation INFO: Iters: 21560/50000 || Lr: 0.012037 || Task Loss: 0.1177 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:13:30 || Estimated Time: 1 day, 3:59:52
2023-07-20 10:34:01,475 semantic_segmentation INFO: Iters: 21570/50000 || Lr: 0.012033 || Task Loss: 0.1137 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:14:05 || Estimated Time: 1 day, 3:59:15
2023-07-20 10:34:36,244 semantic_segmentation INFO: Iters: 21580/50000 || Lr: 0.012029 || Task Loss: 0.1199 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1122|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:14:39 || Estimated Time: 1 day, 3:58:39
2023-07-20 10:35:10,696 semantic_segmentation INFO: Iters: 21590/50000 || Lr: 0.012025 || Task Loss: 0.1246 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:15:14 || Estimated Time: 1 day, 3:58:02
2023-07-20 10:35:45,417 semantic_segmentation INFO: Iters: 21600/50000 || Lr: 0.012021 || Task Loss: 0.1408 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:15:49 || Estimated Time: 1 day, 3:57:26
2023-07-20 10:35:45,481 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 10:35:45,844 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.957, mIoU: 0.692
2023-07-20 10:35:45,888 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.958, mIoU: 0.704
2023-07-20 10:35:45,901 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.958, mIoU: 0.707
2023-07-20 10:35:45,915 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.958, mIoU: 0.705
2023-07-20 10:35:45,929 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-20 10:35:45,942 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-20 10:35:45,955 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-20 10:35:45,969 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-20 10:35:45,982 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-20 10:35:45,996 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-20 10:35:46,009 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-20 10:35:46,022 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.956, mIoU: 0.697
2023-07-20 10:35:46,036 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.956, mIoU: 0.698
2023-07-20 10:35:46,049 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.956, mIoU: 0.697
2023-07-20 10:35:46,062 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.698
2023-07-20 10:35:46,075 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.956, mIoU: 0.697
2023-07-20 10:35:46,089 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.956, mIoU: 0.696
2023-07-20 10:35:46,102 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.695
2023-07-20 10:35:46,115 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.693
2023-07-20 10:35:46,129 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-20 10:35:46,142 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-20 10:35:46,156 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-20 10:35:46,169 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 10:35:46,183 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.686
2023-07-20 10:35:46,196 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.685
2023-07-20 10:35:46,210 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.685
2023-07-20 10:35:46,223 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.685
2023-07-20 10:35:46,237 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.952, mIoU: 0.685
2023-07-20 10:35:46,250 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.685
2023-07-20 10:35:46,264 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.686
2023-07-20 10:35:46,277 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.686
2023-07-20 10:35:46,291 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.687
2023-07-20 10:35:46,305 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-20 10:35:46,319 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-20 10:35:46,333 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-20 10:35:46,347 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 10:35:46,361 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-20 10:35:46,375 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.691
2023-07-20 10:35:46,390 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-20 10:35:46,404 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.693
2023-07-20 10:35:46,418 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.694
2023-07-20 10:35:46,432 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.695
2023-07-20 10:35:46,446 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 10:35:46,460 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.950, mIoU: 0.698
2023-07-20 10:35:46,474 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.698
2023-07-20 10:35:46,488 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.700
2023-07-20 10:35:46,502 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.702
2023-07-20 10:35:46,517 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 10:35:46,531 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.704
2023-07-20 10:35:46,545 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 10:35:46,559 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 10:35:46,573 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 10:35:46,588 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 10:35:46,602 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 10:35:46,616 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-20 10:35:46,630 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-20 10:35:46,644 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-20 10:35:46,658 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-20 10:35:46,672 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 10:35:46,686 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-20 10:35:46,700 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.709
2023-07-20 10:35:46,714 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-20 10:35:46,728 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-20 10:35:46,742 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-20 10:35:46,756 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-20 10:35:46,771 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-20 10:35:46,785 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 10:35:46,799 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-20 10:35:46,814 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-20 10:35:46,828 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.717
2023-07-20 10:35:46,842 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.717
2023-07-20 10:35:46,856 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.717
2023-07-20 10:35:46,871 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.717
2023-07-20 10:35:46,885 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.717
2023-07-20 10:35:46,899 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.716
2023-07-20 10:35:46,913 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.938, mIoU: 0.715
2023-07-20 10:35:46,928 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.715
2023-07-20 10:35:46,942 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.714
2023-07-20 10:35:46,956 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.713
2023-07-20 10:35:46,970 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.713
2023-07-20 10:35:46,984 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.712
2023-07-20 10:35:46,998 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.711
2023-07-20 10:35:47,012 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.710
2023-07-20 10:35:47,026 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.708
2023-07-20 10:35:47,040 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.707
2023-07-20 10:35:47,054 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.934, mIoU: 0.707
2023-07-20 10:35:47,067 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.706
2023-07-20 10:35:47,081 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.934, mIoU: 0.705
2023-07-20 10:35:47,094 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.703
2023-07-20 10:35:47,108 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.933, mIoU: 0.701
2023-07-20 10:35:47,121 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.933, mIoU: 0.701
2023-07-20 10:35:47,135 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 10:35:47,148 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 10:35:47,163 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 10:35:47,177 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 10:35:47,191 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 10:35:47,205 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 10:35:47,219 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 10:35:47,233 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 10:35:47,247 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 10:35:47,261 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 10:36:22,039 semantic_segmentation INFO: Iters: 21610/50000 || Lr: 0.012018 || Task Loss: 0.1279 || KD Loss: 0.0417|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:16:25 || Estimated Time: 1 day, 3:56:52
2023-07-20 10:36:56,588 semantic_segmentation INFO: Iters: 21620/50000 || Lr: 0.012014 || Task Loss: 0.1224 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:17:00 || Estimated Time: 1 day, 3:56:15
2023-07-20 10:37:30,977 semantic_segmentation INFO: Iters: 21630/50000 || Lr: 0.012010 || Task Loss: 0.1188 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1130|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:17:34 || Estimated Time: 1 day, 3:55:39
2023-07-20 10:38:05,595 semantic_segmentation INFO: Iters: 21640/50000 || Lr: 0.012006 || Task Loss: 0.1189 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:18:09 || Estimated Time: 1 day, 3:55:02
2023-07-20 10:38:39,995 semantic_segmentation INFO: Iters: 21650/50000 || Lr: 0.012002 || Task Loss: 0.1225 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0843|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:18:43 || Estimated Time: 1 day, 3:54:25
2023-07-20 10:39:14,948 semantic_segmentation INFO: Iters: 21660/50000 || Lr: 0.011999 || Task Loss: 0.1297 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:19:18 || Estimated Time: 1 day, 3:53:49
2023-07-20 10:39:49,810 semantic_segmentation INFO: Iters: 21670/50000 || Lr: 0.011995 || Task Loss: 0.1214 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:19:53 || Estimated Time: 1 day, 3:53:13
2023-07-20 10:40:24,609 semantic_segmentation INFO: Iters: 21680/50000 || Lr: 0.011991 || Task Loss: 0.1393 || KD Loss: 0.0426|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:20:28 || Estimated Time: 1 day, 3:52:37
2023-07-20 10:40:59,458 semantic_segmentation INFO: Iters: 21690/50000 || Lr: 0.011987 || Task Loss: 0.1270 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1116|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:21:03 || Estimated Time: 1 day, 3:52:00
2023-07-20 10:41:34,443 semantic_segmentation INFO: Iters: 21700/50000 || Lr: 0.011983 || Task Loss: 0.1313 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:21:38 || Estimated Time: 1 day, 3:51:24
2023-07-20 10:42:09,272 semantic_segmentation INFO: Iters: 21710/50000 || Lr: 0.011980 || Task Loss: 0.1235 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:22:12 || Estimated Time: 1 day, 3:50:48
2023-07-20 10:42:44,149 semantic_segmentation INFO: Iters: 21720/50000 || Lr: 0.011976 || Task Loss: 0.1112 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:22:47 || Estimated Time: 1 day, 3:50:12
2023-07-20 10:43:18,721 semantic_segmentation INFO: Iters: 21730/50000 || Lr: 0.011972 || Task Loss: 0.1127 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:23:22 || Estimated Time: 1 day, 3:49:36
2023-07-20 10:43:53,629 semantic_segmentation INFO: Iters: 21740/50000 || Lr: 0.011968 || Task Loss: 0.1355 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:23:57 || Estimated Time: 1 day, 3:48:59
2023-07-20 10:44:27,875 semantic_segmentation INFO: Iters: 21750/50000 || Lr: 0.011964 || Task Loss: 0.1130 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:24:31 || Estimated Time: 1 day, 3:48:22
2023-07-20 10:45:02,507 semantic_segmentation INFO: Iters: 21760/50000 || Lr: 0.011960 || Task Loss: 0.1311 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:25:06 || Estimated Time: 1 day, 3:47:46
2023-07-20 10:45:37,353 semantic_segmentation INFO: Iters: 21770/50000 || Lr: 0.011957 || Task Loss: 0.1201 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:25:40 || Estimated Time: 1 day, 3:47:10
2023-07-20 10:46:11,950 semantic_segmentation INFO: Iters: 21780/50000 || Lr: 0.011953 || Task Loss: 0.1285 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:26:15 || Estimated Time: 1 day, 3:46:33
2023-07-20 10:46:47,071 semantic_segmentation INFO: Iters: 21790/50000 || Lr: 0.011949 || Task Loss: 0.1004 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:26:50 || Estimated Time: 1 day, 3:45:57
2023-07-20 10:47:21,816 semantic_segmentation INFO: Iters: 21800/50000 || Lr: 0.011945 || Task Loss: 0.1186 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:27:25 || Estimated Time: 1 day, 3:45:21
2023-07-20 10:47:56,725 semantic_segmentation INFO: Iters: 21810/50000 || Lr: 0.011941 || Task Loss: 0.1088 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:28:00 || Estimated Time: 1 day, 3:44:45
2023-07-20 10:48:31,377 semantic_segmentation INFO: Iters: 21820/50000 || Lr: 0.011938 || Task Loss: 0.1325 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:28:34 || Estimated Time: 1 day, 3:44:08
2023-07-20 10:49:05,996 semantic_segmentation INFO: Iters: 21830/50000 || Lr: 0.011934 || Task Loss: 0.1307 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0837|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:29:09 || Estimated Time: 1 day, 3:43:32
2023-07-20 10:49:40,997 semantic_segmentation INFO: Iters: 21840/50000 || Lr: 0.011930 || Task Loss: 0.1225 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:29:44 || Estimated Time: 1 day, 3:42:56
2023-07-20 10:50:15,783 semantic_segmentation INFO: Iters: 21850/50000 || Lr: 0.011926 || Task Loss: 0.1074 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:30:19 || Estimated Time: 1 day, 3:42:20
2023-07-20 10:50:50,625 semantic_segmentation INFO: Iters: 21860/50000 || Lr: 0.011922 || Task Loss: 0.1164 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:30:54 || Estimated Time: 1 day, 3:41:43
2023-07-20 10:51:25,062 semantic_segmentation INFO: Iters: 21870/50000 || Lr: 0.011919 || Task Loss: 0.1142 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:31:28 || Estimated Time: 1 day, 3:41:07
2023-07-20 10:51:59,659 semantic_segmentation INFO: Iters: 21880/50000 || Lr: 0.011915 || Task Loss: 0.1341 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:32:03 || Estimated Time: 1 day, 3:40:30
2023-07-20 10:52:34,427 semantic_segmentation INFO: Iters: 21890/50000 || Lr: 0.011911 || Task Loss: 0.1126 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:32:38 || Estimated Time: 1 day, 3:39:54
2023-07-20 10:53:08,893 semantic_segmentation INFO: Iters: 21900/50000 || Lr: 0.011907 || Task Loss: 0.1362 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:33:12 || Estimated Time: 1 day, 3:39:17
2023-07-20 10:53:43,705 semantic_segmentation INFO: Iters: 21910/50000 || Lr: 0.011903 || Task Loss: 0.1182 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:33:47 || Estimated Time: 1 day, 3:38:41
2023-07-20 10:54:18,642 semantic_segmentation INFO: Iters: 21920/50000 || Lr: 0.011899 || Task Loss: 0.1233 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:34:22 || Estimated Time: 1 day, 3:38:05
2023-07-20 10:54:53,346 semantic_segmentation INFO: Iters: 21930/50000 || Lr: 0.011896 || Task Loss: 0.1374 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:34:56 || Estimated Time: 1 day, 3:37:29
2023-07-20 10:55:28,056 semantic_segmentation INFO: Iters: 21940/50000 || Lr: 0.011892 || Task Loss: 0.1317 || KD Loss: 0.0438|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1145|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:35:31 || Estimated Time: 1 day, 3:36:52
2023-07-20 10:56:02,803 semantic_segmentation INFO: Iters: 21950/50000 || Lr: 0.011888 || Task Loss: 0.1494 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:36:06 || Estimated Time: 1 day, 3:36:16
2023-07-20 10:56:37,232 semantic_segmentation INFO: Iters: 21960/50000 || Lr: 0.011884 || Task Loss: 0.1475 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:36:40 || Estimated Time: 1 day, 3:35:39
2023-07-20 10:57:11,766 semantic_segmentation INFO: Iters: 21970/50000 || Lr: 0.011880 || Task Loss: 0.1368 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:37:15 || Estimated Time: 1 day, 3:35:03
2023-07-20 10:57:46,291 semantic_segmentation INFO: Iters: 21980/50000 || Lr: 0.011877 || Task Loss: 0.1068 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1145|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:37:49 || Estimated Time: 1 day, 3:34:26
2023-07-20 10:58:20,758 semantic_segmentation INFO: Iters: 21990/50000 || Lr: 0.011873 || Task Loss: 0.1312 || KD Loss: 0.0399|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:38:24 || Estimated Time: 1 day, 3:33:50
2023-07-20 10:58:55,614 semantic_segmentation INFO: Iters: 22000/50000 || Lr: 0.011869 || Task Loss: 0.1137 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1096|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:38:59 || Estimated Time: 1 day, 3:33:13
2023-07-20 10:59:30,153 semantic_segmentation INFO: Iters: 22010/50000 || Lr: 0.011865 || Task Loss: 0.1149 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1107|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:39:33 || Estimated Time: 1 day, 3:32:37
2023-07-20 11:00:05,095 semantic_segmentation INFO: Iters: 22020/50000 || Lr: 0.011861 || Task Loss: 0.1359 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0890|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:40:08 || Estimated Time: 1 day, 3:32:01
2023-07-20 11:00:39,491 semantic_segmentation INFO: Iters: 22030/50000 || Lr: 0.011858 || Task Loss: 0.1356 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:40:43 || Estimated Time: 1 day, 3:31:24
2023-07-20 11:01:14,087 semantic_segmentation INFO: Iters: 22040/50000 || Lr: 0.011854 || Task Loss: 0.1333 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:41:17 || Estimated Time: 1 day, 3:30:47
2023-07-20 11:01:48,670 semantic_segmentation INFO: Iters: 22050/50000 || Lr: 0.011850 || Task Loss: 0.1202 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:41:52 || Estimated Time: 1 day, 3:30:11
2023-07-20 11:02:23,544 semantic_segmentation INFO: Iters: 22060/50000 || Lr: 0.011846 || Task Loss: 0.1168 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:42:27 || Estimated Time: 1 day, 3:29:35
2023-07-20 11:02:58,091 semantic_segmentation INFO: Iters: 22070/50000 || Lr: 0.011842 || Task Loss: 0.1004 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:43:01 || Estimated Time: 1 day, 3:28:58
2023-07-20 11:03:32,495 semantic_segmentation INFO: Iters: 22080/50000 || Lr: 0.011838 || Task Loss: 0.1162 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:43:36 || Estimated Time: 1 day, 3:28:22
2023-07-20 11:04:07,154 semantic_segmentation INFO: Iters: 22090/50000 || Lr: 0.011835 || Task Loss: 0.1313 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:44:10 || Estimated Time: 1 day, 3:27:45
2023-07-20 11:04:41,728 semantic_segmentation INFO: Iters: 22100/50000 || Lr: 0.011831 || Task Loss: 0.1233 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:44:45 || Estimated Time: 1 day, 3:27:09
2023-07-20 11:05:16,370 semantic_segmentation INFO: Iters: 22110/50000 || Lr: 0.011827 || Task Loss: 0.1334 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0809|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:45:19 || Estimated Time: 1 day, 3:26:33
2023-07-20 11:05:50,958 semantic_segmentation INFO: Iters: 22120/50000 || Lr: 0.011823 || Task Loss: 0.0977 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:45:54 || Estimated Time: 1 day, 3:25:56
2023-07-20 11:06:25,738 semantic_segmentation INFO: Iters: 22130/50000 || Lr: 0.011819 || Task Loss: 0.1174 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:46:29 || Estimated Time: 1 day, 3:25:20
2023-07-20 11:07:00,167 semantic_segmentation INFO: Iters: 22140/50000 || Lr: 0.011816 || Task Loss: 0.1116 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:47:03 || Estimated Time: 1 day, 3:24:43
2023-07-20 11:07:35,168 semantic_segmentation INFO: Iters: 22150/50000 || Lr: 0.011812 || Task Loss: 0.1293 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:47:38 || Estimated Time: 1 day, 3:24:07
2023-07-20 11:08:09,614 semantic_segmentation INFO: Iters: 22160/50000 || Lr: 0.011808 || Task Loss: 0.1130 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:48:13 || Estimated Time: 1 day, 3:23:31
2023-07-20 11:08:44,204 semantic_segmentation INFO: Iters: 22170/50000 || Lr: 0.011804 || Task Loss: 0.1262 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0865|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:48:47 || Estimated Time: 1 day, 3:22:54
2023-07-20 11:09:19,031 semantic_segmentation INFO: Iters: 22180/50000 || Lr: 0.011800 || Task Loss: 0.1123 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:49:22 || Estimated Time: 1 day, 3:22:18
2023-07-20 11:09:53,651 semantic_segmentation INFO: Iters: 22190/50000 || Lr: 0.011796 || Task Loss: 0.1176 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:49:57 || Estimated Time: 1 day, 3:21:41
2023-07-20 11:10:28,445 semantic_segmentation INFO: Iters: 22200/50000 || Lr: 0.011793 || Task Loss: 0.1132 || KD Loss: 0.0409|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1200|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:50:32 || Estimated Time: 1 day, 3:21:05
2023-07-20 11:11:02,992 semantic_segmentation INFO: Iters: 22210/50000 || Lr: 0.011789 || Task Loss: 0.1337 || KD Loss: 0.0394|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:51:06 || Estimated Time: 1 day, 3:20:29
2023-07-20 11:11:37,492 semantic_segmentation INFO: Iters: 22220/50000 || Lr: 0.011785 || Task Loss: 0.1263 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:51:41 || Estimated Time: 1 day, 3:19:52
2023-07-20 11:12:12,316 semantic_segmentation INFO: Iters: 22230/50000 || Lr: 0.011781 || Task Loss: 0.1244 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:52:15 || Estimated Time: 1 day, 3:19:16
2023-07-20 11:12:46,860 semantic_segmentation INFO: Iters: 22240/50000 || Lr: 0.011777 || Task Loss: 0.1114 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:52:50 || Estimated Time: 1 day, 3:18:39
2023-07-20 11:13:21,288 semantic_segmentation INFO: Iters: 22250/50000 || Lr: 0.011774 || Task Loss: 0.1187 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:53:24 || Estimated Time: 1 day, 3:18:03
2023-07-20 11:13:55,830 semantic_segmentation INFO: Iters: 22260/50000 || Lr: 0.011770 || Task Loss: 0.1277 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:53:59 || Estimated Time: 1 day, 3:17:26
2023-07-20 11:14:30,255 semantic_segmentation INFO: Iters: 22270/50000 || Lr: 0.011766 || Task Loss: 0.1173 || KD Loss: 0.0459|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:54:33 || Estimated Time: 1 day, 3:16:50
2023-07-20 11:15:04,872 semantic_segmentation INFO: Iters: 22280/50000 || Lr: 0.011762 || Task Loss: 0.1224 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:55:08 || Estimated Time: 1 day, 3:16:13
2023-07-20 11:15:39,467 semantic_segmentation INFO: Iters: 22290/50000 || Lr: 0.011758 || Task Loss: 0.1345 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:55:43 || Estimated Time: 1 day, 3:15:37
2023-07-20 11:16:13,923 semantic_segmentation INFO: Iters: 22300/50000 || Lr: 0.011754 || Task Loss: 0.1157 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:56:17 || Estimated Time: 1 day, 3:15:00
2023-07-20 11:16:48,505 semantic_segmentation INFO: Iters: 22310/50000 || Lr: 0.011751 || Task Loss: 0.1117 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1120|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:56:52 || Estimated Time: 1 day, 3:14:24
2023-07-20 11:17:23,010 semantic_segmentation INFO: Iters: 22320/50000 || Lr: 0.011747 || Task Loss: 0.1330 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:57:26 || Estimated Time: 1 day, 3:13:47
2023-07-20 11:17:57,516 semantic_segmentation INFO: Iters: 22330/50000 || Lr: 0.011743 || Task Loss: 0.1239 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:58:01 || Estimated Time: 1 day, 3:13:11
2023-07-20 11:18:32,130 semantic_segmentation INFO: Iters: 22340/50000 || Lr: 0.011739 || Task Loss: 0.1267 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:58:35 || Estimated Time: 1 day, 3:12:34
2023-07-20 11:19:06,638 semantic_segmentation INFO: Iters: 22350/50000 || Lr: 0.011735 || Task Loss: 0.1128 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:59:10 || Estimated Time: 1 day, 3:11:58
2023-07-20 11:19:41,457 semantic_segmentation INFO: Iters: 22360/50000 || Lr: 0.011732 || Task Loss: 0.0990 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:59:45 || Estimated Time: 1 day, 3:11:22
2023-07-20 11:20:16,011 semantic_segmentation INFO: Iters: 22370/50000 || Lr: 0.011728 || Task Loss: 0.1140 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:00:19 || Estimated Time: 1 day, 3:10:45
2023-07-20 11:20:50,426 semantic_segmentation INFO: Iters: 22380/50000 || Lr: 0.011724 || Task Loss: 0.1105 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:00:54 || Estimated Time: 1 day, 3:10:08
2023-07-20 11:21:24,873 semantic_segmentation INFO: Iters: 22390/50000 || Lr: 0.011720 || Task Loss: 0.1237 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:01:28 || Estimated Time: 1 day, 3:09:32
2023-07-20 11:21:59,376 semantic_segmentation INFO: Iters: 22400/50000 || Lr: 0.011716 || Task Loss: 0.1270 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1101|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:02:02 || Estimated Time: 1 day, 3:08:55
2023-07-20 11:21:59,442 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 11:21:59,826 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-20 11:21:59,840 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.709
2023-07-20 11:21:59,853 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.709
2023-07-20 11:21:59,866 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-20 11:21:59,879 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 11:21:59,892 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.696
2023-07-20 11:21:59,905 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 11:21:59,918 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 11:21:59,931 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-20 11:21:59,944 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.694
2023-07-20 11:21:59,957 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-20 11:21:59,970 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.692
2023-07-20 11:21:59,983 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 11:21:59,997 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 11:22:00,010 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 11:22:00,023 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 11:22:00,036 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-20 11:22:00,049 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-20 11:22:00,062 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-20 11:22:00,076 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 11:22:00,090 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 11:22:00,104 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 11:22:00,118 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 11:22:00,132 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 11:22:00,146 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.677
2023-07-20 11:22:00,160 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.677
2023-07-20 11:22:00,174 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.677
2023-07-20 11:22:00,188 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.951, mIoU: 0.677
2023-07-20 11:22:00,202 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.678
2023-07-20 11:22:00,216 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.679
2023-07-20 11:22:00,230 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 11:22:00,244 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 11:22:00,258 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 11:22:00,272 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.683
2023-07-20 11:22:00,287 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.684
2023-07-20 11:22:00,301 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.684
2023-07-20 11:22:00,315 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.685
2023-07-20 11:22:00,329 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.686
2023-07-20 11:22:00,344 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.686
2023-07-20 11:22:00,358 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.687
2023-07-20 11:22:00,372 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.689
2023-07-20 11:22:00,387 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-20 11:22:00,401 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-20 11:22:00,415 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.950, mIoU: 0.694
2023-07-20 11:22:00,429 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.949, mIoU: 0.694
2023-07-20 11:22:00,443 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.949, mIoU: 0.696
2023-07-20 11:22:00,457 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.949, mIoU: 0.698
2023-07-20 11:22:00,471 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.949, mIoU: 0.699
2023-07-20 11:22:00,485 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.949, mIoU: 0.700
2023-07-20 11:22:00,499 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.700
2023-07-20 11:22:00,513 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.948, mIoU: 0.700
2023-07-20 11:22:00,527 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.700
2023-07-20 11:22:00,541 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.947, mIoU: 0.701
2023-07-20 11:22:00,555 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.947, mIoU: 0.701
2023-07-20 11:22:00,569 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.946, mIoU: 0.701
2023-07-20 11:22:00,583 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.946, mIoU: 0.701
2023-07-20 11:22:00,597 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.946, mIoU: 0.702
2023-07-20 11:22:00,611 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.945, mIoU: 0.702
2023-07-20 11:22:00,625 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.945, mIoU: 0.703
2023-07-20 11:22:00,638 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.945, mIoU: 0.704
2023-07-20 11:22:00,652 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.704
2023-07-20 11:22:00,666 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.705
2023-07-20 11:22:00,680 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.944, mIoU: 0.706
2023-07-20 11:22:00,694 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.943, mIoU: 0.707
2023-07-20 11:22:00,709 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.943, mIoU: 0.707
2023-07-20 11:22:00,723 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.942, mIoU: 0.707
2023-07-20 11:22:00,738 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.942, mIoU: 0.708
2023-07-20 11:22:00,752 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.941, mIoU: 0.709
2023-07-20 11:22:00,767 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.941, mIoU: 0.709
2023-07-20 11:22:00,781 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.940, mIoU: 0.710
2023-07-20 11:22:00,795 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.939, mIoU: 0.710
2023-07-20 11:22:00,809 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.939, mIoU: 0.710
2023-07-20 11:22:00,824 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-20 11:22:00,838 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.938, mIoU: 0.709
2023-07-20 11:22:00,852 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 11:22:00,866 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 11:22:00,880 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 11:22:00,894 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-20 11:22:00,908 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 11:22:00,922 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 11:22:00,935 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.934, mIoU: 0.703
2023-07-20 11:22:00,949 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.934, mIoU: 0.702
2023-07-20 11:22:00,963 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.933, mIoU: 0.700
2023-07-20 11:22:00,977 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.933, mIoU: 0.698
2023-07-20 11:22:00,991 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.932, mIoU: 0.697
2023-07-20 11:22:01,004 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.932, mIoU: 0.696
2023-07-20 11:22:01,017 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.932, mIoU: 0.695
2023-07-20 11:22:01,030 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.932, mIoU: 0.693
2023-07-20 11:22:01,044 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.931, mIoU: 0.691
2023-07-20 11:22:01,057 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.931, mIoU: 0.690
2023-07-20 11:22:01,070 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.931, mIoU: 0.689
2023-07-20 11:22:01,083 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.931, mIoU: 0.689
2023-07-20 11:22:01,097 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 11:22:01,111 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 11:22:01,125 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 11:22:01,140 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 11:22:01,154 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.932, mIoU: 0.689
2023-07-20 11:22:01,168 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.933, mIoU: 0.689
2023-07-20 11:22:01,182 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 11:22:01,196 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.933, mIoU: 0.688
2023-07-20 11:22:01,210 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.933, mIoU: 0.687
2023-07-20 11:22:35,725 semantic_segmentation INFO: Iters: 22410/50000 || Lr: 0.011712 || Task Loss: 0.1127 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:02:39 || Estimated Time: 1 day, 3:08:21
2023-07-20 11:23:09,923 semantic_segmentation INFO: Iters: 22420/50000 || Lr: 0.011709 || Task Loss: 0.1354 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:03:13 || Estimated Time: 1 day, 3:07:44
2023-07-20 11:23:44,483 semantic_segmentation INFO: Iters: 22430/50000 || Lr: 0.011705 || Task Loss: 0.1120 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:03:48 || Estimated Time: 1 day, 3:07:08
2023-07-20 11:24:18,950 semantic_segmentation INFO: Iters: 22440/50000 || Lr: 0.011701 || Task Loss: 0.1312 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1142|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:04:22 || Estimated Time: 1 day, 3:06:31
2023-07-20 11:24:53,523 semantic_segmentation INFO: Iters: 22450/50000 || Lr: 0.011697 || Task Loss: 0.1281 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:04:57 || Estimated Time: 1 day, 3:05:55
2023-07-20 11:25:27,944 semantic_segmentation INFO: Iters: 22460/50000 || Lr: 0.011693 || Task Loss: 0.1378 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:05:31 || Estimated Time: 1 day, 3:05:18
2023-07-20 11:26:02,524 semantic_segmentation INFO: Iters: 22470/50000 || Lr: 0.011690 || Task Loss: 0.1011 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:06:06 || Estimated Time: 1 day, 3:04:42
2023-07-20 11:26:37,127 semantic_segmentation INFO: Iters: 22480/50000 || Lr: 0.011686 || Task Loss: 0.1354 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:06:40 || Estimated Time: 1 day, 3:04:05
2023-07-20 11:27:11,733 semantic_segmentation INFO: Iters: 22490/50000 || Lr: 0.011682 || Task Loss: 0.1165 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:07:15 || Estimated Time: 1 day, 3:03:29
2023-07-20 11:27:46,403 semantic_segmentation INFO: Iters: 22500/50000 || Lr: 0.011678 || Task Loss: 0.1150 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:07:50 || Estimated Time: 1 day, 3:02:53
2023-07-20 11:28:20,996 semantic_segmentation INFO: Iters: 22510/50000 || Lr: 0.011674 || Task Loss: 0.1095 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:08:24 || Estimated Time: 1 day, 3:02:16
2023-07-20 11:28:55,775 semantic_segmentation INFO: Iters: 22520/50000 || Lr: 0.011670 || Task Loss: 0.1416 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:08:59 || Estimated Time: 1 day, 3:01:40
2023-07-20 11:29:30,028 semantic_segmentation INFO: Iters: 22530/50000 || Lr: 0.011667 || Task Loss: 0.1354 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:09:33 || Estimated Time: 1 day, 3:01:03
2023-07-20 11:30:04,782 semantic_segmentation INFO: Iters: 22540/50000 || Lr: 0.011663 || Task Loss: 0.1387 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:10:08 || Estimated Time: 1 day, 3:00:27
2023-07-20 11:30:39,223 semantic_segmentation INFO: Iters: 22550/50000 || Lr: 0.011659 || Task Loss: 0.1353 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:10:42 || Estimated Time: 1 day, 2:59:50
2023-07-20 11:31:14,180 semantic_segmentation INFO: Iters: 22560/50000 || Lr: 0.011655 || Task Loss: 0.1337 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:11:17 || Estimated Time: 1 day, 2:59:14
2023-07-20 11:31:48,695 semantic_segmentation INFO: Iters: 22570/50000 || Lr: 0.011651 || Task Loss: 0.1463 || KD Loss: 0.0434|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:11:52 || Estimated Time: 1 day, 2:58:38
2023-07-20 11:32:23,626 semantic_segmentation INFO: Iters: 22580/50000 || Lr: 0.011647 || Task Loss: 0.1207 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0926|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:12:27 || Estimated Time: 1 day, 2:58:02
2023-07-20 11:32:57,900 semantic_segmentation INFO: Iters: 22590/50000 || Lr: 0.011644 || Task Loss: 0.1314 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:13:01 || Estimated Time: 1 day, 2:57:25
2023-07-20 11:33:32,317 semantic_segmentation INFO: Iters: 22600/50000 || Lr: 0.011640 || Task Loss: 0.1261 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0918|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:13:35 || Estimated Time: 1 day, 2:56:49
2023-07-20 11:34:06,863 semantic_segmentation INFO: Iters: 22610/50000 || Lr: 0.011636 || Task Loss: 0.1113 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:14:10 || Estimated Time: 1 day, 2:56:12
2023-07-20 11:34:41,229 semantic_segmentation INFO: Iters: 22620/50000 || Lr: 0.011632 || Task Loss: 0.1118 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1124|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:14:44 || Estimated Time: 1 day, 2:55:35
2023-07-20 11:35:15,525 semantic_segmentation INFO: Iters: 22630/50000 || Lr: 0.011628 || Task Loss: 0.1203 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1171|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:15:19 || Estimated Time: 1 day, 2:54:59
2023-07-20 11:35:49,914 semantic_segmentation INFO: Iters: 22640/50000 || Lr: 0.011625 || Task Loss: 0.1069 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:15:53 || Estimated Time: 1 day, 2:54:22
2023-07-20 11:36:24,318 semantic_segmentation INFO: Iters: 22650/50000 || Lr: 0.011621 || Task Loss: 0.1103 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:16:27 || Estimated Time: 1 day, 2:53:45
2023-07-20 11:36:58,852 semantic_segmentation INFO: Iters: 22660/50000 || Lr: 0.011617 || Task Loss: 0.1256 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:17:02 || Estimated Time: 1 day, 2:53:09
2023-07-20 11:37:33,410 semantic_segmentation INFO: Iters: 22670/50000 || Lr: 0.011613 || Task Loss: 0.1106 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:17:37 || Estimated Time: 1 day, 2:52:33
2023-07-20 11:38:07,961 semantic_segmentation INFO: Iters: 22680/50000 || Lr: 0.011609 || Task Loss: 0.1053 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1142|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:18:11 || Estimated Time: 1 day, 2:51:56
2023-07-20 11:38:42,377 semantic_segmentation INFO: Iters: 22690/50000 || Lr: 0.011605 || Task Loss: 0.1305 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:18:45 || Estimated Time: 1 day, 2:51:20
2023-07-20 11:39:16,765 semantic_segmentation INFO: Iters: 22700/50000 || Lr: 0.011602 || Task Loss: 0.1100 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:19:20 || Estimated Time: 1 day, 2:50:43
2023-07-20 11:39:51,363 semantic_segmentation INFO: Iters: 22710/50000 || Lr: 0.011598 || Task Loss: 0.1331 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:19:54 || Estimated Time: 1 day, 2:50:07
2023-07-20 11:40:25,979 semantic_segmentation INFO: Iters: 22720/50000 || Lr: 0.011594 || Task Loss: 0.1172 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:20:29 || Estimated Time: 1 day, 2:49:30
2023-07-20 11:41:00,509 semantic_segmentation INFO: Iters: 22730/50000 || Lr: 0.011590 || Task Loss: 0.1272 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:21:04 || Estimated Time: 1 day, 2:48:54
2023-07-20 11:41:34,958 semantic_segmentation INFO: Iters: 22740/50000 || Lr: 0.011586 || Task Loss: 0.1240 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:21:38 || Estimated Time: 1 day, 2:48:17
2023-07-20 11:42:09,436 semantic_segmentation INFO: Iters: 22750/50000 || Lr: 0.011582 || Task Loss: 0.1257 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:22:13 || Estimated Time: 1 day, 2:47:41
2023-07-20 11:42:43,779 semantic_segmentation INFO: Iters: 22760/50000 || Lr: 0.011579 || Task Loss: 0.1090 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1098|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:22:47 || Estimated Time: 1 day, 2:47:04
2023-07-20 11:43:18,224 semantic_segmentation INFO: Iters: 22770/50000 || Lr: 0.011575 || Task Loss: 0.1260 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:23:21 || Estimated Time: 1 day, 2:46:28
2023-07-20 11:43:52,947 semantic_segmentation INFO: Iters: 22780/50000 || Lr: 0.011571 || Task Loss: 0.1063 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:23:56 || Estimated Time: 1 day, 2:45:51
2023-07-20 11:44:27,750 semantic_segmentation INFO: Iters: 22790/50000 || Lr: 0.011567 || Task Loss: 0.1260 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:24:31 || Estimated Time: 1 day, 2:45:15
2023-07-20 11:45:02,444 semantic_segmentation INFO: Iters: 22800/50000 || Lr: 0.011563 || Task Loss: 0.0985 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:25:06 || Estimated Time: 1 day, 2:44:39
2023-07-20 11:45:36,864 semantic_segmentation INFO: Iters: 22810/50000 || Lr: 0.011560 || Task Loss: 0.1211 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:25:40 || Estimated Time: 1 day, 2:44:02
2023-07-20 11:46:11,484 semantic_segmentation INFO: Iters: 22820/50000 || Lr: 0.011556 || Task Loss: 0.1221 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:26:15 || Estimated Time: 1 day, 2:43:26
2023-07-20 11:46:46,108 semantic_segmentation INFO: Iters: 22830/50000 || Lr: 0.011552 || Task Loss: 0.1270 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:26:49 || Estimated Time: 1 day, 2:42:50
2023-07-20 11:47:20,747 semantic_segmentation INFO: Iters: 22840/50000 || Lr: 0.011548 || Task Loss: 0.1134 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:27:24 || Estimated Time: 1 day, 2:42:14
2023-07-20 11:47:55,188 semantic_segmentation INFO: Iters: 22850/50000 || Lr: 0.011544 || Task Loss: 0.1289 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0868|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:27:58 || Estimated Time: 1 day, 2:41:37
2023-07-20 11:48:29,697 semantic_segmentation INFO: Iters: 22860/50000 || Lr: 0.011540 || Task Loss: 0.1195 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1107|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:28:33 || Estimated Time: 1 day, 2:41:01
2023-07-20 11:49:04,160 semantic_segmentation INFO: Iters: 22870/50000 || Lr: 0.011537 || Task Loss: 0.1405 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:29:07 || Estimated Time: 1 day, 2:40:24
2023-07-20 11:49:38,813 semantic_segmentation INFO: Iters: 22880/50000 || Lr: 0.011533 || Task Loss: 0.1137 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:29:42 || Estimated Time: 1 day, 2:39:48
2023-07-20 11:50:13,172 semantic_segmentation INFO: Iters: 22890/50000 || Lr: 0.011529 || Task Loss: 0.1100 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:30:16 || Estimated Time: 1 day, 2:39:11
2023-07-20 11:50:47,875 semantic_segmentation INFO: Iters: 22900/50000 || Lr: 0.011525 || Task Loss: 0.1199 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:30:51 || Estimated Time: 1 day, 2:38:35
2023-07-20 11:51:22,367 semantic_segmentation INFO: Iters: 22910/50000 || Lr: 0.011521 || Task Loss: 0.1038 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:31:25 || Estimated Time: 1 day, 2:37:58
2023-07-20 11:51:56,796 semantic_segmentation INFO: Iters: 22920/50000 || Lr: 0.011517 || Task Loss: 0.1172 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:32:00 || Estimated Time: 1 day, 2:37:22
2023-07-20 11:52:31,834 semantic_segmentation INFO: Iters: 22930/50000 || Lr: 0.011514 || Task Loss: 0.1119 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:32:35 || Estimated Time: 1 day, 2:36:46
2023-07-20 11:53:06,231 semantic_segmentation INFO: Iters: 22940/50000 || Lr: 0.011510 || Task Loss: 0.1365 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:33:09 || Estimated Time: 1 day, 2:36:10
2023-07-20 11:53:40,645 semantic_segmentation INFO: Iters: 22950/50000 || Lr: 0.011506 || Task Loss: 0.1351 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:33:44 || Estimated Time: 1 day, 2:35:33
2023-07-20 11:54:15,399 semantic_segmentation INFO: Iters: 22960/50000 || Lr: 0.011502 || Task Loss: 0.1063 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:34:19 || Estimated Time: 1 day, 2:34:57
2023-07-20 11:54:49,839 semantic_segmentation INFO: Iters: 22970/50000 || Lr: 0.011498 || Task Loss: 0.1264 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:34:53 || Estimated Time: 1 day, 2:34:20
2023-07-20 11:55:24,283 semantic_segmentation INFO: Iters: 22980/50000 || Lr: 0.011494 || Task Loss: 0.1200 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:35:27 || Estimated Time: 1 day, 2:33:44
2023-07-20 11:55:58,866 semantic_segmentation INFO: Iters: 22990/50000 || Lr: 0.011491 || Task Loss: 0.1211 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:36:02 || Estimated Time: 1 day, 2:33:07
2023-07-20 11:56:33,428 semantic_segmentation INFO: Iters: 23000/50000 || Lr: 0.011487 || Task Loss: 0.1169 || KD Loss: 0.0429|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1165|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:36:37 || Estimated Time: 1 day, 2:32:31
2023-07-20 11:57:07,825 semantic_segmentation INFO: Iters: 23010/50000 || Lr: 0.011483 || Task Loss: 0.1115 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:37:11 || Estimated Time: 1 day, 2:31:55
2023-07-20 11:57:42,144 semantic_segmentation INFO: Iters: 23020/50000 || Lr: 0.011479 || Task Loss: 0.1150 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:37:45 || Estimated Time: 1 day, 2:31:18
2023-07-20 11:58:16,301 semantic_segmentation INFO: Iters: 23030/50000 || Lr: 0.011475 || Task Loss: 0.1406 || KD Loss: 0.0397|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:38:19 || Estimated Time: 1 day, 2:30:41
2023-07-20 11:58:50,705 semantic_segmentation INFO: Iters: 23040/50000 || Lr: 0.011471 || Task Loss: 0.1124 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1083|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:38:54 || Estimated Time: 1 day, 2:30:05
2023-07-20 11:59:25,114 semantic_segmentation INFO: Iters: 23050/50000 || Lr: 0.011468 || Task Loss: 0.1177 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:39:28 || Estimated Time: 1 day, 2:29:28
2023-07-20 11:59:59,701 semantic_segmentation INFO: Iters: 23060/50000 || Lr: 0.011464 || Task Loss: 0.1247 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:40:03 || Estimated Time: 1 day, 2:28:52
2023-07-20 12:00:34,105 semantic_segmentation INFO: Iters: 23070/50000 || Lr: 0.011460 || Task Loss: 0.1245 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:40:37 || Estimated Time: 1 day, 2:28:15
2023-07-20 12:01:08,574 semantic_segmentation INFO: Iters: 23080/50000 || Lr: 0.011456 || Task Loss: 0.1122 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:41:12 || Estimated Time: 1 day, 2:27:39
2023-07-20 12:01:42,939 semantic_segmentation INFO: Iters: 23090/50000 || Lr: 0.011452 || Task Loss: 0.1197 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:41:46 || Estimated Time: 1 day, 2:27:02
2023-07-20 12:02:17,658 semantic_segmentation INFO: Iters: 23100/50000 || Lr: 0.011448 || Task Loss: 0.0984 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:42:21 || Estimated Time: 1 day, 2:26:26
2023-07-20 12:02:52,091 semantic_segmentation INFO: Iters: 23110/50000 || Lr: 0.011445 || Task Loss: 0.1066 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1130|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:42:55 || Estimated Time: 1 day, 2:25:50
2023-07-20 12:03:26,744 semantic_segmentation INFO: Iters: 23120/50000 || Lr: 0.011441 || Task Loss: 0.1238 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:43:30 || Estimated Time: 1 day, 2:25:13
2023-07-20 12:04:01,502 semantic_segmentation INFO: Iters: 23130/50000 || Lr: 0.011437 || Task Loss: 0.1095 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:44:05 || Estimated Time: 1 day, 2:24:37
2023-07-20 12:04:36,091 semantic_segmentation INFO: Iters: 23140/50000 || Lr: 0.011433 || Task Loss: 0.1073 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:44:39 || Estimated Time: 1 day, 2:24:01
2023-07-20 12:05:10,500 semantic_segmentation INFO: Iters: 23150/50000 || Lr: 0.011429 || Task Loss: 0.1152 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:45:14 || Estimated Time: 1 day, 2:23:24
2023-07-20 12:05:44,998 semantic_segmentation INFO: Iters: 23160/50000 || Lr: 0.011426 || Task Loss: 0.1148 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1118|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:45:48 || Estimated Time: 1 day, 2:22:48
2023-07-20 12:06:19,541 semantic_segmentation INFO: Iters: 23170/50000 || Lr: 0.011422 || Task Loss: 0.1027 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:46:23 || Estimated Time: 1 day, 2:22:12
2023-07-20 12:06:54,222 semantic_segmentation INFO: Iters: 23180/50000 || Lr: 0.011418 || Task Loss: 0.1089 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:46:57 || Estimated Time: 1 day, 2:21:35
2023-07-20 12:07:28,527 semantic_segmentation INFO: Iters: 23190/50000 || Lr: 0.011414 || Task Loss: 0.1155 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:47:32 || Estimated Time: 1 day, 2:20:59
2023-07-20 12:08:02,939 semantic_segmentation INFO: Iters: 23200/50000 || Lr: 0.011410 || Task Loss: 0.1206 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:48:06 || Estimated Time: 1 day, 2:20:22
2023-07-20 12:08:03,009 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 12:08:03,382 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.695
2023-07-20 12:08:03,403 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.705
2023-07-20 12:08:03,416 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.707
2023-07-20 12:08:03,429 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-20 12:08:03,441 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-20 12:08:03,454 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 12:08:03,466 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.697
2023-07-20 12:08:03,480 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.697
2023-07-20 12:08:03,493 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.697
2023-07-20 12:08:03,505 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 12:08:03,518 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-20 12:08:03,531 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 12:08:03,544 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 12:08:03,557 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 12:08:03,570 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 12:08:03,583 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-20 12:08:03,596 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.691
2023-07-20 12:08:03,609 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.957, mIoU: 0.688
2023-07-20 12:08:03,622 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.687
2023-07-20 12:08:03,634 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.684
2023-07-20 12:08:03,647 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.955, mIoU: 0.683
2023-07-20 12:08:03,660 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.681
2023-07-20 12:08:03,674 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 12:08:03,687 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.953, mIoU: 0.677
2023-07-20 12:08:03,701 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.953, mIoU: 0.677
2023-07-20 12:08:03,714 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.953, mIoU: 0.677
2023-07-20 12:08:03,727 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.953, mIoU: 0.677
2023-07-20 12:08:03,741 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.677
2023-07-20 12:08:03,754 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.678
2023-07-20 12:08:03,767 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.679
2023-07-20 12:08:03,781 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 12:08:03,794 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 12:08:03,807 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 12:08:03,821 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 12:08:03,834 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 12:08:03,848 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 12:08:03,861 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.686
2023-07-20 12:08:03,875 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-20 12:08:03,888 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-20 12:08:03,902 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-20 12:08:03,916 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-20 12:08:03,929 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-20 12:08:03,943 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-20 12:08:03,957 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-20 12:08:03,970 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-20 12:08:03,984 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-20 12:08:03,998 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-20 12:08:04,011 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-20 12:08:04,025 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-20 12:08:04,039 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.701
2023-07-20 12:08:04,052 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.701
2023-07-20 12:08:04,066 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.701
2023-07-20 12:08:04,080 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.701
2023-07-20 12:08:04,094 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.701
2023-07-20 12:08:04,108 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.701
2023-07-20 12:08:04,122 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.701
2023-07-20 12:08:04,137 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.702
2023-07-20 12:08:04,151 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.702
2023-07-20 12:08:04,165 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.703
2023-07-20 12:08:04,179 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.703
2023-07-20 12:08:04,193 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 12:08:04,207 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.705
2023-07-20 12:08:04,221 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-20 12:08:04,235 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.706
2023-07-20 12:08:04,249 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.707
2023-07-20 12:08:04,263 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.707
2023-07-20 12:08:04,277 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.708
2023-07-20 12:08:04,291 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.709
2023-07-20 12:08:04,306 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.709
2023-07-20 12:08:04,320 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.710
2023-07-20 12:08:04,334 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.711
2023-07-20 12:08:04,348 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.711
2023-07-20 12:08:04,362 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.710
2023-07-20 12:08:04,376 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.710
2023-07-20 12:08:04,390 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.709
2023-07-20 12:08:04,404 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-20 12:08:04,418 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.708
2023-07-20 12:08:04,432 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.707
2023-07-20 12:08:04,446 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.706
2023-07-20 12:08:04,460 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.705
2023-07-20 12:08:04,474 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-20 12:08:04,489 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-20 12:08:04,503 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 12:08:04,517 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 12:08:04,532 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-20 12:08:04,546 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 12:08:04,560 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 12:08:04,574 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 12:08:04,588 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-20 12:08:04,602 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.693
2023-07-20 12:08:04,616 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.692
2023-07-20 12:08:04,630 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.692
2023-07-20 12:08:04,644 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-20 12:08:04,658 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-20 12:08:04,672 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-20 12:08:04,686 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-20 12:08:04,700 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-20 12:08:04,714 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.691
2023-07-20 12:08:04,727 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.691
2023-07-20 12:08:04,741 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.690
2023-07-20 12:08:04,755 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.689
2023-07-20 12:08:39,484 semantic_segmentation INFO: Iters: 23210/50000 || Lr: 0.011406 || Task Loss: 0.1247 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:48:43 || Estimated Time: 1 day, 2:19:48
2023-07-20 12:09:14,145 semantic_segmentation INFO: Iters: 23220/50000 || Lr: 0.011403 || Task Loss: 0.1265 || KD Loss: 0.0433|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1104|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:49:17 || Estimated Time: 1 day, 2:19:12
2023-07-20 12:09:48,734 semantic_segmentation INFO: Iters: 23230/50000 || Lr: 0.011399 || Task Loss: 0.1117 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1109|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:49:52 || Estimated Time: 1 day, 2:18:36
2023-07-20 12:10:23,129 semantic_segmentation INFO: Iters: 23240/50000 || Lr: 0.011395 || Task Loss: 0.1258 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:50:26 || Estimated Time: 1 day, 2:17:59
2023-07-20 12:10:57,698 semantic_segmentation INFO: Iters: 23250/50000 || Lr: 0.011391 || Task Loss: 0.1271 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:51:01 || Estimated Time: 1 day, 2:17:23
2023-07-20 12:11:32,098 semantic_segmentation INFO: Iters: 23260/50000 || Lr: 0.011387 || Task Loss: 0.1164 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:51:35 || Estimated Time: 1 day, 2:16:46
2023-07-20 12:12:06,578 semantic_segmentation INFO: Iters: 23270/50000 || Lr: 0.011383 || Task Loss: 0.1304 || KD Loss: 0.0424|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1103|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:52:10 || Estimated Time: 1 day, 2:16:10
2023-07-20 12:12:41,171 semantic_segmentation INFO: Iters: 23280/50000 || Lr: 0.011380 || Task Loss: 0.1223 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:52:44 || Estimated Time: 1 day, 2:15:34
2023-07-20 12:13:15,749 semantic_segmentation INFO: Iters: 23290/50000 || Lr: 0.011376 || Task Loss: 0.1179 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:53:19 || Estimated Time: 1 day, 2:14:57
2023-07-20 12:13:50,162 semantic_segmentation INFO: Iters: 23300/50000 || Lr: 0.011372 || Task Loss: 0.1263 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:53:53 || Estimated Time: 1 day, 2:14:21
2023-07-20 12:14:24,596 semantic_segmentation INFO: Iters: 23310/50000 || Lr: 0.011368 || Task Loss: 0.1225 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:54:28 || Estimated Time: 1 day, 2:13:44
2023-07-20 12:14:58,995 semantic_segmentation INFO: Iters: 23320/50000 || Lr: 0.011364 || Task Loss: 0.1284 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:55:02 || Estimated Time: 1 day, 2:13:08
2023-07-20 12:15:33,597 semantic_segmentation INFO: Iters: 23330/50000 || Lr: 0.011360 || Task Loss: 0.1007 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:55:37 || Estimated Time: 1 day, 2:12:32
2023-07-20 12:16:07,967 semantic_segmentation INFO: Iters: 23340/50000 || Lr: 0.011357 || Task Loss: 0.1257 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:56:11 || Estimated Time: 1 day, 2:11:55
2023-07-20 12:16:42,428 semantic_segmentation INFO: Iters: 23350/50000 || Lr: 0.011353 || Task Loss: 0.1068 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1263|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:56:46 || Estimated Time: 1 day, 2:11:19
2023-07-20 12:17:16,793 semantic_segmentation INFO: Iters: 23360/50000 || Lr: 0.011349 || Task Loss: 0.1104 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:57:20 || Estimated Time: 1 day, 2:10:42
2023-07-20 12:17:51,260 semantic_segmentation INFO: Iters: 23370/50000 || Lr: 0.011345 || Task Loss: 0.1177 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:57:54 || Estimated Time: 1 day, 2:10:06
2023-07-20 12:18:25,481 semantic_segmentation INFO: Iters: 23380/50000 || Lr: 0.011341 || Task Loss: 0.1131 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:58:29 || Estimated Time: 1 day, 2:09:29
2023-07-20 12:18:59,674 semantic_segmentation INFO: Iters: 23390/50000 || Lr: 0.011337 || Task Loss: 0.1029 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:59:03 || Estimated Time: 1 day, 2:08:52
2023-07-20 12:19:33,895 semantic_segmentation INFO: Iters: 23400/50000 || Lr: 0.011334 || Task Loss: 0.1309 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:59:37 || Estimated Time: 1 day, 2:08:16
2023-07-20 12:20:08,011 semantic_segmentation INFO: Iters: 23410/50000 || Lr: 0.011330 || Task Loss: 0.1125 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:00:11 || Estimated Time: 1 day, 2:07:39
2023-07-20 12:20:42,322 semantic_segmentation INFO: Iters: 23420/50000 || Lr: 0.011326 || Task Loss: 0.1046 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:00:45 || Estimated Time: 1 day, 2:07:02
2023-07-20 12:21:16,660 semantic_segmentation INFO: Iters: 23430/50000 || Lr: 0.011322 || Task Loss: 0.1130 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:01:20 || Estimated Time: 1 day, 2:06:26
2023-07-20 12:21:50,867 semantic_segmentation INFO: Iters: 23440/50000 || Lr: 0.011318 || Task Loss: 0.1274 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:01:54 || Estimated Time: 1 day, 2:05:49
2023-07-20 12:22:25,071 semantic_segmentation INFO: Iters: 23450/50000 || Lr: 0.011314 || Task Loss: 0.1072 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:02:28 || Estimated Time: 1 day, 2:05:12
2023-07-20 12:22:59,288 semantic_segmentation INFO: Iters: 23460/50000 || Lr: 0.011311 || Task Loss: 0.1040 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:03:02 || Estimated Time: 1 day, 2:04:36
2023-07-20 12:23:33,755 semantic_segmentation INFO: Iters: 23470/50000 || Lr: 0.011307 || Task Loss: 0.1099 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:03:37 || Estimated Time: 1 day, 2:03:59
2023-07-20 12:24:08,095 semantic_segmentation INFO: Iters: 23480/50000 || Lr: 0.011303 || Task Loss: 0.1034 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:04:11 || Estimated Time: 1 day, 2:03:23
2023-07-20 12:24:42,584 semantic_segmentation INFO: Iters: 23490/50000 || Lr: 0.011299 || Task Loss: 0.1042 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:04:46 || Estimated Time: 1 day, 2:02:46
2023-07-20 12:25:17,081 semantic_segmentation INFO: Iters: 23500/50000 || Lr: 0.011295 || Task Loss: 0.1145 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:05:20 || Estimated Time: 1 day, 2:02:10
2023-07-20 12:25:51,621 semantic_segmentation INFO: Iters: 23510/50000 || Lr: 0.011291 || Task Loss: 0.1427 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0793|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:05:55 || Estimated Time: 1 day, 2:01:34
2023-07-20 12:26:26,485 semantic_segmentation INFO: Iters: 23520/50000 || Lr: 0.011288 || Task Loss: 0.1135 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:06:30 || Estimated Time: 1 day, 2:00:58
2023-07-20 12:27:01,296 semantic_segmentation INFO: Iters: 23530/50000 || Lr: 0.011284 || Task Loss: 0.1188 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:07:04 || Estimated Time: 1 day, 2:00:22
2023-07-20 12:27:35,764 semantic_segmentation INFO: Iters: 23540/50000 || Lr: 0.011280 || Task Loss: 0.1082 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:07:39 || Estimated Time: 1 day, 1:59:45
2023-07-20 12:28:10,190 semantic_segmentation INFO: Iters: 23550/50000 || Lr: 0.011276 || Task Loss: 0.1199 || KD Loss: 0.0393|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:08:13 || Estimated Time: 1 day, 1:59:09
2023-07-20 12:28:44,534 semantic_segmentation INFO: Iters: 23560/50000 || Lr: 0.011272 || Task Loss: 0.1024 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:08:48 || Estimated Time: 1 day, 1:58:32
2023-07-20 12:29:18,910 semantic_segmentation INFO: Iters: 23570/50000 || Lr: 0.011268 || Task Loss: 0.1238 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:09:22 || Estimated Time: 1 day, 1:57:56
2023-07-20 12:29:53,543 semantic_segmentation INFO: Iters: 23580/50000 || Lr: 0.011264 || Task Loss: 0.1218 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:09:57 || Estimated Time: 1 day, 1:57:20
2023-07-20 12:30:28,116 semantic_segmentation INFO: Iters: 23590/50000 || Lr: 0.011261 || Task Loss: 0.1119 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:10:31 || Estimated Time: 1 day, 1:56:43
2023-07-20 12:31:02,422 semantic_segmentation INFO: Iters: 23600/50000 || Lr: 0.011257 || Task Loss: 0.1169 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:11:06 || Estimated Time: 1 day, 1:56:07
2023-07-20 12:31:36,569 semantic_segmentation INFO: Iters: 23610/50000 || Lr: 0.011253 || Task Loss: 0.1077 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:11:40 || Estimated Time: 1 day, 1:55:30
2023-07-20 12:32:10,841 semantic_segmentation INFO: Iters: 23620/50000 || Lr: 0.011249 || Task Loss: 0.1060 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:12:14 || Estimated Time: 1 day, 1:54:54
2023-07-20 12:32:45,146 semantic_segmentation INFO: Iters: 23630/50000 || Lr: 0.011245 || Task Loss: 0.1105 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:12:48 || Estimated Time: 1 day, 1:54:17
2023-07-20 12:33:19,364 semantic_segmentation INFO: Iters: 23640/50000 || Lr: 0.011241 || Task Loss: 0.1167 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:13:22 || Estimated Time: 1 day, 1:53:40
2023-07-20 12:33:53,605 semantic_segmentation INFO: Iters: 23650/50000 || Lr: 0.011238 || Task Loss: 0.1251 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:13:57 || Estimated Time: 1 day, 1:53:04
2023-07-20 12:34:28,062 semantic_segmentation INFO: Iters: 23660/50000 || Lr: 0.011234 || Task Loss: 0.1098 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:14:31 || Estimated Time: 1 day, 1:52:27
2023-07-20 12:35:02,579 semantic_segmentation INFO: Iters: 23670/50000 || Lr: 0.011230 || Task Loss: 0.1195 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:15:06 || Estimated Time: 1 day, 1:51:51
2023-07-20 12:35:37,164 semantic_segmentation INFO: Iters: 23680/50000 || Lr: 0.011226 || Task Loss: 0.1012 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:15:40 || Estimated Time: 1 day, 1:51:15
2023-07-20 12:36:11,558 semantic_segmentation INFO: Iters: 23690/50000 || Lr: 0.011222 || Task Loss: 0.1215 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:16:15 || Estimated Time: 1 day, 1:50:38
2023-07-20 12:36:46,010 semantic_segmentation INFO: Iters: 23700/50000 || Lr: 0.011218 || Task Loss: 0.1198 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:16:49 || Estimated Time: 1 day, 1:50:02
2023-07-20 12:37:20,840 semantic_segmentation INFO: Iters: 23710/50000 || Lr: 0.011215 || Task Loss: 0.1150 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:17:24 || Estimated Time: 1 day, 1:49:26
2023-07-20 12:37:55,313 semantic_segmentation INFO: Iters: 23720/50000 || Lr: 0.011211 || Task Loss: 0.1225 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:17:58 || Estimated Time: 1 day, 1:48:50
2023-07-20 12:38:29,642 semantic_segmentation INFO: Iters: 23730/50000 || Lr: 0.011207 || Task Loss: 0.1215 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:18:33 || Estimated Time: 1 day, 1:48:13
2023-07-20 12:39:04,101 semantic_segmentation INFO: Iters: 23740/50000 || Lr: 0.011203 || Task Loss: 0.1305 || KD Loss: 0.0402|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:19:07 || Estimated Time: 1 day, 1:47:37
2023-07-20 12:39:38,363 semantic_segmentation INFO: Iters: 23750/50000 || Lr: 0.011199 || Task Loss: 0.1129 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1176|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:19:41 || Estimated Time: 1 day, 1:47:00
2023-07-20 12:40:12,659 semantic_segmentation INFO: Iters: 23760/50000 || Lr: 0.011195 || Task Loss: 0.1312 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:20:16 || Estimated Time: 1 day, 1:46:24
2023-07-20 12:40:46,953 semantic_segmentation INFO: Iters: 23770/50000 || Lr: 0.011192 || Task Loss: 0.1263 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:20:50 || Estimated Time: 1 day, 1:45:47
2023-07-20 12:41:21,434 semantic_segmentation INFO: Iters: 23780/50000 || Lr: 0.011188 || Task Loss: 0.1330 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:21:25 || Estimated Time: 1 day, 1:45:11
2023-07-20 12:41:55,705 semantic_segmentation INFO: Iters: 23790/50000 || Lr: 0.011184 || Task Loss: 0.1160 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:21:59 || Estimated Time: 1 day, 1:44:34
2023-07-20 12:42:29,921 semantic_segmentation INFO: Iters: 23800/50000 || Lr: 0.011180 || Task Loss: 0.0951 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1120|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:22:33 || Estimated Time: 1 day, 1:43:58
2023-07-20 12:43:04,200 semantic_segmentation INFO: Iters: 23810/50000 || Lr: 0.011176 || Task Loss: 0.0964 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:23:07 || Estimated Time: 1 day, 1:43:21
2023-07-20 12:43:38,277 semantic_segmentation INFO: Iters: 23820/50000 || Lr: 0.011172 || Task Loss: 0.1170 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:23:41 || Estimated Time: 1 day, 1:42:44
2023-07-20 12:44:12,300 semantic_segmentation INFO: Iters: 23830/50000 || Lr: 0.011169 || Task Loss: 0.1126 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0914|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:24:15 || Estimated Time: 1 day, 1:42:08
2023-07-20 12:44:46,599 semantic_segmentation INFO: Iters: 23840/50000 || Lr: 0.011165 || Task Loss: 0.1173 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1104|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:24:50 || Estimated Time: 1 day, 1:41:31
2023-07-20 12:45:20,757 semantic_segmentation INFO: Iters: 23850/50000 || Lr: 0.011161 || Task Loss: 0.0932 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:25:24 || Estimated Time: 1 day, 1:40:55
2023-07-20 12:45:54,927 semantic_segmentation INFO: Iters: 23860/50000 || Lr: 0.011157 || Task Loss: 0.1241 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:25:58 || Estimated Time: 1 day, 1:40:18
2023-07-20 12:46:29,098 semantic_segmentation INFO: Iters: 23870/50000 || Lr: 0.011153 || Task Loss: 0.1287 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:26:32 || Estimated Time: 1 day, 1:39:41
2023-07-20 12:47:03,270 semantic_segmentation INFO: Iters: 23880/50000 || Lr: 0.011149 || Task Loss: 0.1097 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1156|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:27:06 || Estimated Time: 1 day, 1:39:05
2023-07-20 12:47:37,644 semantic_segmentation INFO: Iters: 23890/50000 || Lr: 0.011145 || Task Loss: 0.1000 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:27:41 || Estimated Time: 1 day, 1:38:28
2023-07-20 12:48:12,032 semantic_segmentation INFO: Iters: 23900/50000 || Lr: 0.011142 || Task Loss: 0.1302 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:28:15 || Estimated Time: 1 day, 1:37:52
2023-07-20 12:48:46,495 semantic_segmentation INFO: Iters: 23910/50000 || Lr: 0.011138 || Task Loss: 0.1156 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:28:50 || Estimated Time: 1 day, 1:37:15
2023-07-20 12:49:21,209 semantic_segmentation INFO: Iters: 23920/50000 || Lr: 0.011134 || Task Loss: 0.1296 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:29:24 || Estimated Time: 1 day, 1:36:39
2023-07-20 12:49:55,761 semantic_segmentation INFO: Iters: 23930/50000 || Lr: 0.011130 || Task Loss: 0.1228 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:29:59 || Estimated Time: 1 day, 1:36:03
2023-07-20 12:50:30,119 semantic_segmentation INFO: Iters: 23940/50000 || Lr: 0.011126 || Task Loss: 0.1099 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:30:33 || Estimated Time: 1 day, 1:35:27
2023-07-20 12:51:04,300 semantic_segmentation INFO: Iters: 23950/50000 || Lr: 0.011122 || Task Loss: 0.0993 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:31:07 || Estimated Time: 1 day, 1:34:50
2023-07-20 12:51:38,507 semantic_segmentation INFO: Iters: 23960/50000 || Lr: 0.011119 || Task Loss: 0.1068 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0903|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:31:42 || Estimated Time: 1 day, 1:34:13
2023-07-20 12:52:12,792 semantic_segmentation INFO: Iters: 23970/50000 || Lr: 0.011115 || Task Loss: 0.1092 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:32:16 || Estimated Time: 1 day, 1:33:37
2023-07-20 12:52:47,069 semantic_segmentation INFO: Iters: 23980/50000 || Lr: 0.011111 || Task Loss: 0.1377 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0821|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:32:50 || Estimated Time: 1 day, 1:33:00
2023-07-20 12:53:21,386 semantic_segmentation INFO: Iters: 23990/50000 || Lr: 0.011107 || Task Loss: 0.0920 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:33:24 || Estimated Time: 1 day, 1:32:24
2023-07-20 12:53:55,771 semantic_segmentation INFO: Iters: 24000/50000 || Lr: 0.011103 || Task Loss: 0.1128 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:33:59 || Estimated Time: 1 day, 1:31:48
2023-07-20 12:53:55,836 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 12:53:56,199 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.961, mIoU: 0.692
2023-07-20 12:53:56,212 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.702
2023-07-20 12:53:56,232 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-20 12:53:56,245 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 12:53:56,258 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.696
2023-07-20 12:53:56,271 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.695
2023-07-20 12:53:56,284 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.695
2023-07-20 12:53:56,297 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.695
2023-07-20 12:53:56,309 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.694
2023-07-20 12:53:56,322 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.695
2023-07-20 12:53:56,335 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.695
2023-07-20 12:53:56,348 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 12:53:56,362 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 12:53:56,376 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 12:53:56,390 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 12:53:56,404 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 12:53:56,417 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-20 12:53:56,431 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.691
2023-07-20 12:53:56,445 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.689
2023-07-20 12:53:56,458 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.687
2023-07-20 12:53:56,472 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.687
2023-07-20 12:53:56,486 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-20 12:53:56,500 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 12:53:56,514 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 12:53:56,528 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 12:53:56,541 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 12:53:56,555 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 12:53:56,569 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 12:53:56,583 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 12:53:56,597 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 12:53:56,611 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 12:53:56,625 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 12:53:56,640 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 12:53:56,654 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-20 12:53:56,667 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-20 12:53:56,681 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-20 12:53:56,695 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.690
2023-07-20 12:53:56,709 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-20 12:53:56,723 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-20 12:53:56,736 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-20 12:53:56,750 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-20 12:53:56,764 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-20 12:53:56,778 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.696
2023-07-20 12:53:56,792 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.697
2023-07-20 12:53:56,806 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-20 12:53:56,820 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-20 12:53:56,834 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-20 12:53:56,848 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-20 12:53:56,862 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-20 12:53:56,875 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 12:53:56,889 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 12:53:56,903 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 12:53:56,917 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 12:53:56,930 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 12:53:56,944 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 12:53:56,959 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 12:53:56,973 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 12:53:56,988 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 12:53:57,002 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-20 12:53:57,017 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-20 12:53:57,031 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-20 12:53:57,046 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-20 12:53:57,060 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 12:53:57,074 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-20 12:53:57,088 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-20 12:53:57,103 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.709
2023-07-20 12:53:57,117 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.709
2023-07-20 12:53:57,131 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.710
2023-07-20 12:53:57,145 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.710
2023-07-20 12:53:57,159 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.711
2023-07-20 12:53:57,173 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.711
2023-07-20 12:53:57,187 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.711
2023-07-20 12:53:57,200 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.711
2023-07-20 12:53:57,214 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.710
2023-07-20 12:53:57,228 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.709
2023-07-20 12:53:57,242 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-20 12:53:57,256 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.708
2023-07-20 12:53:57,270 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.707
2023-07-20 12:53:57,284 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.706
2023-07-20 12:53:57,297 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.705
2023-07-20 12:53:57,311 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-20 12:53:57,325 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-20 12:53:57,339 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 12:53:57,352 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-20 12:53:57,366 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 12:53:57,380 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-20 12:53:57,394 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 12:53:57,408 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.934, mIoU: 0.694
2023-07-20 12:53:57,422 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.692
2023-07-20 12:53:57,436 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.933, mIoU: 0.690
2023-07-20 12:53:57,449 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.933, mIoU: 0.690
2023-07-20 12:53:57,463 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.689
2023-07-20 12:53:57,477 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.689
2023-07-20 12:53:57,490 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.934, mIoU: 0.689
2023-07-20 12:53:57,504 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.934, mIoU: 0.689
2023-07-20 12:53:57,517 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.689
2023-07-20 12:53:57,531 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.689
2023-07-20 12:53:57,545 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.689
2023-07-20 12:53:57,558 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.688
2023-07-20 12:53:57,572 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.687
2023-07-20 12:53:57,586 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.686
2023-07-20 12:54:31,983 semantic_segmentation INFO: Iters: 24010/50000 || Lr: 0.011099 || Task Loss: 0.1137 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:34:35 || Estimated Time: 1 day, 1:31:13
2023-07-20 12:55:06,182 semantic_segmentation INFO: Iters: 24020/50000 || Lr: 0.011096 || Task Loss: 0.1118 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:35:09 || Estimated Time: 1 day, 1:30:37
2023-07-20 12:55:40,478 semantic_segmentation INFO: Iters: 24030/50000 || Lr: 0.011092 || Task Loss: 0.1138 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:35:44 || Estimated Time: 1 day, 1:30:00
2023-07-20 12:56:14,753 semantic_segmentation INFO: Iters: 24040/50000 || Lr: 0.011088 || Task Loss: 0.1089 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:36:18 || Estimated Time: 1 day, 1:29:24
2023-07-20 12:56:49,181 semantic_segmentation INFO: Iters: 24050/50000 || Lr: 0.011084 || Task Loss: 0.1256 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:36:52 || Estimated Time: 1 day, 1:28:47
2023-07-20 12:57:23,579 semantic_segmentation INFO: Iters: 24060/50000 || Lr: 0.011080 || Task Loss: 0.1334 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:37:27 || Estimated Time: 1 day, 1:28:11
2023-07-20 12:57:57,982 semantic_segmentation INFO: Iters: 24070/50000 || Lr: 0.011076 || Task Loss: 0.1041 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:38:01 || Estimated Time: 1 day, 1:27:34
2023-07-20 12:58:32,381 semantic_segmentation INFO: Iters: 24080/50000 || Lr: 0.011072 || Task Loss: 0.1069 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:38:35 || Estimated Time: 1 day, 1:26:58
2023-07-20 12:59:06,771 semantic_segmentation INFO: Iters: 24090/50000 || Lr: 0.011069 || Task Loss: 0.1408 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:39:10 || Estimated Time: 1 day, 1:26:22
2023-07-20 12:59:41,070 semantic_segmentation INFO: Iters: 24100/50000 || Lr: 0.011065 || Task Loss: 0.1108 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:39:44 || Estimated Time: 1 day, 1:25:45
2023-07-20 13:00:15,411 semantic_segmentation INFO: Iters: 24110/50000 || Lr: 0.011061 || Task Loss: 0.1030 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:40:19 || Estimated Time: 1 day, 1:25:09
2023-07-20 13:00:49,794 semantic_segmentation INFO: Iters: 24120/50000 || Lr: 0.011057 || Task Loss: 0.0958 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:40:53 || Estimated Time: 1 day, 1:24:32
2023-07-20 13:01:24,048 semantic_segmentation INFO: Iters: 24130/50000 || Lr: 0.011053 || Task Loss: 0.1249 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:41:27 || Estimated Time: 1 day, 1:23:56
2023-07-20 13:01:58,500 semantic_segmentation INFO: Iters: 24140/50000 || Lr: 0.011049 || Task Loss: 0.1224 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0849|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:42:02 || Estimated Time: 1 day, 1:23:20
2023-07-20 13:02:32,733 semantic_segmentation INFO: Iters: 24150/50000 || Lr: 0.011046 || Task Loss: 0.1093 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:42:36 || Estimated Time: 1 day, 1:22:43
2023-07-20 13:03:06,952 semantic_segmentation INFO: Iters: 24160/50000 || Lr: 0.011042 || Task Loss: 0.1216 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:43:10 || Estimated Time: 1 day, 1:22:07
2023-07-20 13:03:41,095 semantic_segmentation INFO: Iters: 24170/50000 || Lr: 0.011038 || Task Loss: 0.1398 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:43:44 || Estimated Time: 1 day, 1:21:30
2023-07-20 13:04:15,272 semantic_segmentation INFO: Iters: 24180/50000 || Lr: 0.011034 || Task Loss: 0.1211 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0834|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:44:18 || Estimated Time: 1 day, 1:20:53
2023-07-20 13:04:49,558 semantic_segmentation INFO: Iters: 24190/50000 || Lr: 0.011030 || Task Loss: 0.1094 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:44:53 || Estimated Time: 1 day, 1:20:17
2023-07-20 13:05:23,814 semantic_segmentation INFO: Iters: 24200/50000 || Lr: 0.011026 || Task Loss: 0.1471 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:45:27 || Estimated Time: 1 day, 1:19:40
2023-07-20 13:05:58,208 semantic_segmentation INFO: Iters: 24210/50000 || Lr: 0.011022 || Task Loss: 0.1122 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:46:01 || Estimated Time: 1 day, 1:19:04
2023-07-20 13:06:32,248 semantic_segmentation INFO: Iters: 24220/50000 || Lr: 0.011019 || Task Loss: 0.0984 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:46:35 || Estimated Time: 1 day, 1:18:27
2023-07-20 13:07:06,452 semantic_segmentation INFO: Iters: 24230/50000 || Lr: 0.011015 || Task Loss: 0.1486 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0855|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:47:10 || Estimated Time: 1 day, 1:17:51
2023-07-20 13:07:40,900 semantic_segmentation INFO: Iters: 24240/50000 || Lr: 0.011011 || Task Loss: 0.1125 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:47:44 || Estimated Time: 1 day, 1:17:14
2023-07-20 13:08:15,481 semantic_segmentation INFO: Iters: 24250/50000 || Lr: 0.011007 || Task Loss: 0.1223 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:48:19 || Estimated Time: 1 day, 1:16:38
2023-07-20 13:08:50,037 semantic_segmentation INFO: Iters: 24260/50000 || Lr: 0.011003 || Task Loss: 0.1074 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0866|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:48:53 || Estimated Time: 1 day, 1:16:02
2023-07-20 13:09:24,438 semantic_segmentation INFO: Iters: 24270/50000 || Lr: 0.010999 || Task Loss: 0.1231 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:49:28 || Estimated Time: 1 day, 1:15:26
2023-07-20 13:09:58,700 semantic_segmentation INFO: Iters: 24280/50000 || Lr: 0.010996 || Task Loss: 0.1252 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:50:02 || Estimated Time: 1 day, 1:14:49
2023-07-20 13:10:32,699 semantic_segmentation INFO: Iters: 24290/50000 || Lr: 0.010992 || Task Loss: 0.1227 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:50:36 || Estimated Time: 1 day, 1:14:13
2023-07-20 13:11:06,857 semantic_segmentation INFO: Iters: 24300/50000 || Lr: 0.010988 || Task Loss: 0.1338 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:51:10 || Estimated Time: 1 day, 1:13:36
2023-07-20 13:11:41,138 semantic_segmentation INFO: Iters: 24310/50000 || Lr: 0.010984 || Task Loss: 0.1134 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:51:44 || Estimated Time: 1 day, 1:13:00
2023-07-20 13:12:15,253 semantic_segmentation INFO: Iters: 24320/50000 || Lr: 0.010980 || Task Loss: 0.1026 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:52:18 || Estimated Time: 1 day, 1:12:23
2023-07-20 13:12:49,642 semantic_segmentation INFO: Iters: 24330/50000 || Lr: 0.010976 || Task Loss: 0.1143 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:52:53 || Estimated Time: 1 day, 1:11:47
2023-07-20 13:13:23,914 semantic_segmentation INFO: Iters: 24340/50000 || Lr: 0.010972 || Task Loss: 0.1137 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:53:27 || Estimated Time: 1 day, 1:11:10
2023-07-20 13:13:58,263 semantic_segmentation INFO: Iters: 24350/50000 || Lr: 0.010969 || Task Loss: 0.1130 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:54:01 || Estimated Time: 1 day, 1:10:34
2023-07-20 13:14:32,689 semantic_segmentation INFO: Iters: 24360/50000 || Lr: 0.010965 || Task Loss: 0.1173 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1171|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:54:36 || Estimated Time: 1 day, 1:09:57
2023-07-20 13:15:07,123 semantic_segmentation INFO: Iters: 24370/50000 || Lr: 0.010961 || Task Loss: 0.1526 || KD Loss: 0.0446|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0689|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:55:10 || Estimated Time: 1 day, 1:09:21
2023-07-20 13:15:41,548 semantic_segmentation INFO: Iters: 24380/50000 || Lr: 0.010957 || Task Loss: 0.1158 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:55:45 || Estimated Time: 1 day, 1:08:45
2023-07-20 13:16:15,898 semantic_segmentation INFO: Iters: 24390/50000 || Lr: 0.010953 || Task Loss: 0.1081 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:56:19 || Estimated Time: 1 day, 1:08:08
2023-07-20 13:16:49,959 semantic_segmentation INFO: Iters: 24400/50000 || Lr: 0.010949 || Task Loss: 0.1148 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:56:53 || Estimated Time: 1 day, 1:07:32
2023-07-20 13:17:24,380 semantic_segmentation INFO: Iters: 24410/50000 || Lr: 0.010945 || Task Loss: 0.1238 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:57:27 || Estimated Time: 1 day, 1:06:56
2023-07-20 13:17:58,723 semantic_segmentation INFO: Iters: 24420/50000 || Lr: 0.010942 || Task Loss: 0.1012 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1083|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:58:02 || Estimated Time: 1 day, 1:06:19
2023-07-20 13:18:32,955 semantic_segmentation INFO: Iters: 24430/50000 || Lr: 0.010938 || Task Loss: 0.1184 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:58:36 || Estimated Time: 1 day, 1:05:43
2023-07-20 13:19:06,972 semantic_segmentation INFO: Iters: 24440/50000 || Lr: 0.010934 || Task Loss: 0.1067 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:59:10 || Estimated Time: 1 day, 1:05:06
2023-07-20 13:19:41,130 semantic_segmentation INFO: Iters: 24450/50000 || Lr: 0.010930 || Task Loss: 0.1050 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:59:44 || Estimated Time: 1 day, 1:04:29
2023-07-20 13:20:15,299 semantic_segmentation INFO: Iters: 24460/50000 || Lr: 0.010926 || Task Loss: 0.1081 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:00:18 || Estimated Time: 1 day, 1:03:53
2023-07-20 13:20:49,357 semantic_segmentation INFO: Iters: 24470/50000 || Lr: 0.010922 || Task Loss: 0.1250 || KD Loss: 0.0423|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1116|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:00:52 || Estimated Time: 1 day, 1:03:16
2023-07-20 13:21:23,318 semantic_segmentation INFO: Iters: 24480/50000 || Lr: 0.010919 || Task Loss: 0.1173 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:01:26 || Estimated Time: 1 day, 1:02:39
2023-07-20 13:21:57,591 semantic_segmentation INFO: Iters: 24490/50000 || Lr: 0.010915 || Task Loss: 0.1022 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:02:01 || Estimated Time: 1 day, 1:02:03
2023-07-20 13:22:32,049 semantic_segmentation INFO: Iters: 24500/50000 || Lr: 0.010911 || Task Loss: 0.1174 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:02:35 || Estimated Time: 1 day, 1:01:27
2023-07-20 13:23:06,412 semantic_segmentation INFO: Iters: 24510/50000 || Lr: 0.010907 || Task Loss: 0.1258 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:03:10 || Estimated Time: 1 day, 1:00:51
2023-07-20 13:23:40,708 semantic_segmentation INFO: Iters: 24520/50000 || Lr: 0.010903 || Task Loss: 0.1358 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0890|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:03:44 || Estimated Time: 1 day, 1:00:14
2023-07-20 13:24:14,714 semantic_segmentation INFO: Iters: 24530/50000 || Lr: 0.010899 || Task Loss: 0.1173 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:04:18 || Estimated Time: 1 day, 0:59:37
2023-07-20 13:24:48,650 semantic_segmentation INFO: Iters: 24540/50000 || Lr: 0.010895 || Task Loss: 0.1212 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:04:52 || Estimated Time: 1 day, 0:59:01
2023-07-20 13:25:22,748 semantic_segmentation INFO: Iters: 24550/50000 || Lr: 0.010892 || Task Loss: 0.1241 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:05:26 || Estimated Time: 1 day, 0:58:24
2023-07-20 13:25:57,076 semantic_segmentation INFO: Iters: 24560/50000 || Lr: 0.010888 || Task Loss: 0.1028 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:06:00 || Estimated Time: 1 day, 0:57:48
2023-07-20 13:26:31,618 semantic_segmentation INFO: Iters: 24570/50000 || Lr: 0.010884 || Task Loss: 0.1123 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:06:35 || Estimated Time: 1 day, 0:57:11
2023-07-20 13:27:05,896 semantic_segmentation INFO: Iters: 24580/50000 || Lr: 0.010880 || Task Loss: 0.1101 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:07:09 || Estimated Time: 1 day, 0:56:35
2023-07-20 13:27:39,952 semantic_segmentation INFO: Iters: 24590/50000 || Lr: 0.010876 || Task Loss: 0.1102 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:07:43 || Estimated Time: 1 day, 0:55:58
2023-07-20 13:28:14,298 semantic_segmentation INFO: Iters: 24600/50000 || Lr: 0.010872 || Task Loss: 0.1224 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:08:17 || Estimated Time: 1 day, 0:55:22
2023-07-20 13:28:48,525 semantic_segmentation INFO: Iters: 24610/50000 || Lr: 0.010868 || Task Loss: 0.1325 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:08:52 || Estimated Time: 1 day, 0:54:46
2023-07-20 13:29:22,688 semantic_segmentation INFO: Iters: 24620/50000 || Lr: 0.010865 || Task Loss: 0.1145 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:09:26 || Estimated Time: 1 day, 0:54:09
2023-07-20 13:29:56,821 semantic_segmentation INFO: Iters: 24630/50000 || Lr: 0.010861 || Task Loss: 0.1003 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:10:00 || Estimated Time: 1 day, 0:53:33
2023-07-20 13:30:31,050 semantic_segmentation INFO: Iters: 24640/50000 || Lr: 0.010857 || Task Loss: 0.0981 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:10:34 || Estimated Time: 1 day, 0:52:56
2023-07-20 13:31:05,189 semantic_segmentation INFO: Iters: 24650/50000 || Lr: 0.010853 || Task Loss: 0.1185 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:11:08 || Estimated Time: 1 day, 0:52:20
2023-07-20 13:31:39,413 semantic_segmentation INFO: Iters: 24660/50000 || Lr: 0.010849 || Task Loss: 0.1405 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:11:43 || Estimated Time: 1 day, 0:51:43
2023-07-20 13:32:13,564 semantic_segmentation INFO: Iters: 24670/50000 || Lr: 0.010845 || Task Loss: 0.1191 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:12:17 || Estimated Time: 1 day, 0:51:07
2023-07-20 13:32:47,737 semantic_segmentation INFO: Iters: 24680/50000 || Lr: 0.010842 || Task Loss: 0.1396 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:12:51 || Estimated Time: 1 day, 0:50:30
2023-07-20 13:33:21,795 semantic_segmentation INFO: Iters: 24690/50000 || Lr: 0.010838 || Task Loss: 0.1111 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:13:25 || Estimated Time: 1 day, 0:49:54
2023-07-20 13:33:56,148 semantic_segmentation INFO: Iters: 24700/50000 || Lr: 0.010834 || Task Loss: 0.1480 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:13:59 || Estimated Time: 1 day, 0:49:17
2023-07-20 13:34:30,631 semantic_segmentation INFO: Iters: 24710/50000 || Lr: 0.010830 || Task Loss: 0.1214 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:14:34 || Estimated Time: 1 day, 0:48:41
2023-07-20 13:35:04,962 semantic_segmentation INFO: Iters: 24720/50000 || Lr: 0.010826 || Task Loss: 0.1182 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:15:08 || Estimated Time: 1 day, 0:48:05
2023-07-20 13:35:39,162 semantic_segmentation INFO: Iters: 24730/50000 || Lr: 0.010822 || Task Loss: 0.1236 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:15:42 || Estimated Time: 1 day, 0:47:28
2023-07-20 13:36:13,144 semantic_segmentation INFO: Iters: 24740/50000 || Lr: 0.010818 || Task Loss: 0.1367 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:16:16 || Estimated Time: 1 day, 0:46:52
2023-07-20 13:36:47,195 semantic_segmentation INFO: Iters: 24750/50000 || Lr: 0.010815 || Task Loss: 0.1268 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:16:50 || Estimated Time: 1 day, 0:46:15
2023-07-20 13:37:21,383 semantic_segmentation INFO: Iters: 24760/50000 || Lr: 0.010811 || Task Loss: 0.1161 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:17:24 || Estimated Time: 1 day, 0:45:39
2023-07-20 13:37:55,617 semantic_segmentation INFO: Iters: 24770/50000 || Lr: 0.010807 || Task Loss: 0.1194 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:17:59 || Estimated Time: 1 day, 0:45:02
2023-07-20 13:38:29,860 semantic_segmentation INFO: Iters: 24780/50000 || Lr: 0.010803 || Task Loss: 0.1212 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:18:33 || Estimated Time: 1 day, 0:44:26
2023-07-20 13:39:04,181 semantic_segmentation INFO: Iters: 24790/50000 || Lr: 0.010799 || Task Loss: 0.1188 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:19:07 || Estimated Time: 1 day, 0:43:49
2023-07-20 13:39:38,608 semantic_segmentation INFO: Iters: 24800/50000 || Lr: 0.010795 || Task Loss: 0.1111 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:19:42 || Estimated Time: 1 day, 0:43:13
2023-07-20 13:39:38,671 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 13:39:39,055 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-20 13:39:39,080 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.707
2023-07-20 13:39:39,096 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.709
2023-07-20 13:39:39,108 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.707
2023-07-20 13:39:39,121 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-20 13:39:39,134 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-20 13:39:39,146 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 13:39:39,159 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 13:39:39,171 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-20 13:39:39,184 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 13:39:39,197 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 13:39:39,211 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-20 13:39:39,224 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 13:39:39,238 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-20 13:39:39,251 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 13:39:39,264 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-20 13:39:39,278 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-20 13:39:39,291 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-20 13:39:39,305 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-20 13:39:39,318 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 13:39:39,331 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-20 13:39:39,345 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-20 13:39:39,358 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-20 13:39:39,371 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 13:39:39,385 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-20 13:39:39,398 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-20 13:39:39,412 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 13:39:39,425 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-20 13:39:39,439 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 13:39:39,453 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 13:39:39,467 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 13:39:39,480 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-20 13:39:39,494 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-20 13:39:39,508 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-20 13:39:39,521 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.692
2023-07-20 13:39:39,535 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-20 13:39:39,549 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-20 13:39:39,563 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-20 13:39:39,576 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-20 13:39:39,590 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-20 13:39:39,604 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-20 13:39:39,618 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-20 13:39:39,632 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-20 13:39:39,646 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-20 13:39:39,661 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-20 13:39:39,675 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-20 13:39:39,689 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-20 13:39:39,703 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-20 13:39:39,717 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-20 13:39:39,732 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-20 13:39:39,746 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-20 13:39:39,760 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-20 13:39:39,774 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-20 13:39:39,788 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-20 13:39:39,802 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-20 13:39:39,816 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-20 13:39:39,830 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 13:39:39,844 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 13:39:39,858 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-20 13:39:39,872 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-20 13:39:39,885 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-20 13:39:39,899 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-20 13:39:39,913 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-20 13:39:39,926 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 13:39:39,940 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-20 13:39:39,954 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-20 13:39:39,967 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-20 13:39:39,981 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-20 13:39:39,994 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-20 13:39:40,008 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 13:39:40,022 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 13:39:40,036 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 13:39:40,050 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.713
2023-07-20 13:39:40,064 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.713
2023-07-20 13:39:40,079 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.712
2023-07-20 13:39:40,093 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.712
2023-07-20 13:39:40,107 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-20 13:39:40,121 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.710
2023-07-20 13:39:40,136 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-20 13:39:40,150 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.709
2023-07-20 13:39:40,165 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 13:39:40,179 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.707
2023-07-20 13:39:40,193 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-20 13:39:40,208 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 13:39:40,222 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-20 13:39:40,236 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 13:39:40,249 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 13:39:40,263 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 13:39:40,277 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 13:39:40,290 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 13:39:40,304 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-20 13:39:40,317 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-20 13:39:40,331 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-20 13:39:40,344 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 13:39:40,358 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 13:39:40,371 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 13:39:40,384 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 13:39:40,398 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 13:39:40,411 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 13:39:40,425 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.698
2023-07-20 13:39:40,439 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.697
2023-07-20 13:40:14,810 semantic_segmentation INFO: Iters: 24810/50000 || Lr: 0.010791 || Task Loss: 0.1152 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:20:18 || Estimated Time: 1 day, 0:42:39
2023-07-20 13:40:49,042 semantic_segmentation INFO: Iters: 24820/50000 || Lr: 0.010788 || Task Loss: 0.1089 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:20:52 || Estimated Time: 1 day, 0:42:02
2023-07-20 13:41:23,437 semantic_segmentation INFO: Iters: 24830/50000 || Lr: 0.010784 || Task Loss: 0.1021 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1132|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:21:27 || Estimated Time: 1 day, 0:41:26
2023-07-20 13:41:57,657 semantic_segmentation INFO: Iters: 24840/50000 || Lr: 0.010780 || Task Loss: 0.1000 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:22:01 || Estimated Time: 1 day, 0:40:50
2023-07-20 13:42:31,810 semantic_segmentation INFO: Iters: 24850/50000 || Lr: 0.010776 || Task Loss: 0.1125 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:22:35 || Estimated Time: 1 day, 0:40:13
2023-07-20 13:43:05,911 semantic_segmentation INFO: Iters: 24860/50000 || Lr: 0.010772 || Task Loss: 0.1117 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:23:09 || Estimated Time: 1 day, 0:39:37
2023-07-20 13:43:40,242 semantic_segmentation INFO: Iters: 24870/50000 || Lr: 0.010768 || Task Loss: 0.1341 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:23:43 || Estimated Time: 1 day, 0:39:00
2023-07-20 13:44:14,643 semantic_segmentation INFO: Iters: 24880/50000 || Lr: 0.010764 || Task Loss: 0.1143 || KD Loss: 0.0375|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:24:18 || Estimated Time: 1 day, 0:38:24
2023-07-20 13:44:49,072 semantic_segmentation INFO: Iters: 24890/50000 || Lr: 0.010761 || Task Loss: 0.1294 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:24:52 || Estimated Time: 1 day, 0:37:48
2023-07-20 13:45:23,441 semantic_segmentation INFO: Iters: 24900/50000 || Lr: 0.010757 || Task Loss: 0.1067 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:25:27 || Estimated Time: 1 day, 0:37:12
2023-07-20 13:45:57,889 semantic_segmentation INFO: Iters: 24910/50000 || Lr: 0.010753 || Task Loss: 0.1065 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:26:01 || Estimated Time: 1 day, 0:36:35
2023-07-20 13:46:32,302 semantic_segmentation INFO: Iters: 24920/50000 || Lr: 0.010749 || Task Loss: 0.1188 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:26:35 || Estimated Time: 1 day, 0:35:59
2023-07-20 13:47:06,465 semantic_segmentation INFO: Iters: 24930/50000 || Lr: 0.010745 || Task Loss: 0.1172 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:27:10 || Estimated Time: 1 day, 0:35:23
2023-07-20 13:47:40,843 semantic_segmentation INFO: Iters: 24940/50000 || Lr: 0.010741 || Task Loss: 0.1230 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:27:44 || Estimated Time: 1 day, 0:34:46
2023-07-20 13:48:15,272 semantic_segmentation INFO: Iters: 24950/50000 || Lr: 0.010737 || Task Loss: 0.1255 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:28:18 || Estimated Time: 1 day, 0:34:10
2023-07-20 13:48:49,518 semantic_segmentation INFO: Iters: 24960/50000 || Lr: 0.010734 || Task Loss: 0.1191 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:28:53 || Estimated Time: 1 day, 0:33:34
2023-07-20 13:49:23,709 semantic_segmentation INFO: Iters: 24970/50000 || Lr: 0.010730 || Task Loss: 0.1129 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:29:27 || Estimated Time: 1 day, 0:32:57
2023-07-20 13:49:58,126 semantic_segmentation INFO: Iters: 24980/50000 || Lr: 0.010726 || Task Loss: 0.1301 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:30:01 || Estimated Time: 1 day, 0:32:21
2023-07-20 13:50:32,570 semantic_segmentation INFO: Iters: 24990/50000 || Lr: 0.010722 || Task Loss: 0.1223 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:30:36 || Estimated Time: 1 day, 0:31:45
2023-07-20 13:51:06,909 semantic_segmentation INFO: Iters: 25000/50000 || Lr: 0.010718 || Task Loss: 0.1111 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:31:10 || Estimated Time: 1 day, 0:31:09
2023-07-20 13:51:41,291 semantic_segmentation INFO: Iters: 25010/50000 || Lr: 0.010714 || Task Loss: 0.1046 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:31:44 || Estimated Time: 1 day, 0:30:33
2023-07-20 13:52:15,876 semantic_segmentation INFO: Iters: 25020/50000 || Lr: 0.010710 || Task Loss: 0.1027 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1084|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:32:19 || Estimated Time: 1 day, 0:29:57
2023-07-20 13:52:50,740 semantic_segmentation INFO: Iters: 25030/50000 || Lr: 0.010707 || Task Loss: 0.1195 || KD Loss: 0.0414|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:32:54 || Estimated Time: 1 day, 0:29:21
2023-07-20 13:53:25,117 semantic_segmentation INFO: Iters: 25040/50000 || Lr: 0.010703 || Task Loss: 0.1088 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:33:28 || Estimated Time: 1 day, 0:28:45
2023-07-20 13:53:59,643 semantic_segmentation INFO: Iters: 25050/50000 || Lr: 0.010699 || Task Loss: 0.1217 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:34:03 || Estimated Time: 1 day, 0:28:08
2023-07-20 13:54:34,015 semantic_segmentation INFO: Iters: 25060/50000 || Lr: 0.010695 || Task Loss: 0.0979 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:34:37 || Estimated Time: 1 day, 0:27:32
2023-07-20 13:55:08,512 semantic_segmentation INFO: Iters: 25070/50000 || Lr: 0.010691 || Task Loss: 0.1247 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:35:12 || Estimated Time: 1 day, 0:26:56
2023-07-20 13:55:42,893 semantic_segmentation INFO: Iters: 25080/50000 || Lr: 0.010687 || Task Loss: 0.1259 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:35:46 || Estimated Time: 1 day, 0:26:20
2023-07-20 13:56:17,393 semantic_segmentation INFO: Iters: 25090/50000 || Lr: 0.010683 || Task Loss: 0.1254 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0868|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:36:20 || Estimated Time: 1 day, 0:25:44
2023-07-20 13:56:51,618 semantic_segmentation INFO: Iters: 25100/50000 || Lr: 0.010680 || Task Loss: 0.1311 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:36:55 || Estimated Time: 1 day, 0:25:07
2023-07-20 13:57:25,797 semantic_segmentation INFO: Iters: 25110/50000 || Lr: 0.010676 || Task Loss: 0.1183 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:37:29 || Estimated Time: 1 day, 0:24:31
2023-07-20 13:57:59,849 semantic_segmentation INFO: Iters: 25120/50000 || Lr: 0.010672 || Task Loss: 0.1161 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:38:03 || Estimated Time: 1 day, 0:23:54
2023-07-20 13:58:34,023 semantic_segmentation INFO: Iters: 25130/50000 || Lr: 0.010668 || Task Loss: 0.1169 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:38:37 || Estimated Time: 1 day, 0:23:18
2023-07-20 13:59:08,233 semantic_segmentation INFO: Iters: 25140/50000 || Lr: 0.010664 || Task Loss: 0.1091 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1128|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:39:11 || Estimated Time: 1 day, 0:22:42
2023-07-20 13:59:42,634 semantic_segmentation INFO: Iters: 25150/50000 || Lr: 0.010660 || Task Loss: 0.1222 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:39:46 || Estimated Time: 1 day, 0:22:05
2023-07-20 14:00:17,194 semantic_segmentation INFO: Iters: 25160/50000 || Lr: 0.010656 || Task Loss: 0.1267 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0855|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:40:20 || Estimated Time: 1 day, 0:21:29
2023-07-20 14:00:51,649 semantic_segmentation INFO: Iters: 25170/50000 || Lr: 0.010653 || Task Loss: 0.1194 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:40:55 || Estimated Time: 1 day, 0:20:53
2023-07-20 14:01:26,009 semantic_segmentation INFO: Iters: 25180/50000 || Lr: 0.010649 || Task Loss: 0.0999 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:41:29 || Estimated Time: 1 day, 0:20:17
2023-07-20 14:02:00,367 semantic_segmentation INFO: Iters: 25190/50000 || Lr: 0.010645 || Task Loss: 0.1037 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:42:03 || Estimated Time: 1 day, 0:19:41
2023-07-20 14:02:34,756 semantic_segmentation INFO: Iters: 25200/50000 || Lr: 0.010641 || Task Loss: 0.1263 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:42:38 || Estimated Time: 1 day, 0:19:05
2023-07-20 14:03:09,150 semantic_segmentation INFO: Iters: 25210/50000 || Lr: 0.010637 || Task Loss: 0.1039 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:43:12 || Estimated Time: 1 day, 0:18:28
2023-07-20 14:03:43,488 semantic_segmentation INFO: Iters: 25220/50000 || Lr: 0.010633 || Task Loss: 0.1155 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:43:47 || Estimated Time: 1 day, 0:17:52
2023-07-20 14:04:17,661 semantic_segmentation INFO: Iters: 25230/50000 || Lr: 0.010629 || Task Loss: 0.1194 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:44:21 || Estimated Time: 1 day, 0:17:16
2023-07-20 14:04:51,689 semantic_segmentation INFO: Iters: 25240/50000 || Lr: 0.010625 || Task Loss: 0.1122 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:44:55 || Estimated Time: 1 day, 0:16:39
2023-07-20 14:05:25,918 semantic_segmentation INFO: Iters: 25250/50000 || Lr: 0.010622 || Task Loss: 0.1185 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:45:29 || Estimated Time: 1 day, 0:16:03
2023-07-20 14:06:00,110 semantic_segmentation INFO: Iters: 25260/50000 || Lr: 0.010618 || Task Loss: 0.1087 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:46:03 || Estimated Time: 1 day, 0:15:27
2023-07-20 14:06:34,238 semantic_segmentation INFO: Iters: 25270/50000 || Lr: 0.010614 || Task Loss: 0.1507 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:46:37 || Estimated Time: 1 day, 0:14:50
2023-07-20 14:07:08,452 semantic_segmentation INFO: Iters: 25280/50000 || Lr: 0.010610 || Task Loss: 0.1181 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:47:12 || Estimated Time: 1 day, 0:14:14
2023-07-20 14:07:42,638 semantic_segmentation INFO: Iters: 25290/50000 || Lr: 0.010606 || Task Loss: 0.1121 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:47:46 || Estimated Time: 1 day, 0:13:37
2023-07-20 14:08:16,991 semantic_segmentation INFO: Iters: 25300/50000 || Lr: 0.010602 || Task Loss: 0.1131 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:48:20 || Estimated Time: 1 day, 0:13:01
2023-07-20 14:08:51,258 semantic_segmentation INFO: Iters: 25310/50000 || Lr: 0.010598 || Task Loss: 0.1140 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:48:54 || Estimated Time: 1 day, 0:12:25
2023-07-20 14:09:25,648 semantic_segmentation INFO: Iters: 25320/50000 || Lr: 0.010595 || Task Loss: 0.1071 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:49:29 || Estimated Time: 1 day, 0:11:49
2023-07-20 14:10:00,101 semantic_segmentation INFO: Iters: 25330/50000 || Lr: 0.010591 || Task Loss: 0.1200 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1101|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:50:03 || Estimated Time: 1 day, 0:11:13
2023-07-20 14:10:34,261 semantic_segmentation INFO: Iters: 25340/50000 || Lr: 0.010587 || Task Loss: 0.1115 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0879|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:50:37 || Estimated Time: 1 day, 0:10:36
2023-07-20 14:11:08,315 semantic_segmentation INFO: Iters: 25350/50000 || Lr: 0.010583 || Task Loss: 0.1157 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:51:11 || Estimated Time: 1 day, 0:10:00
2023-07-20 14:11:42,454 semantic_segmentation INFO: Iters: 25360/50000 || Lr: 0.010579 || Task Loss: 0.1186 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0897|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:51:46 || Estimated Time: 1 day, 0:09:23
2023-07-20 14:12:16,690 semantic_segmentation INFO: Iters: 25370/50000 || Lr: 0.010575 || Task Loss: 0.1151 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:52:20 || Estimated Time: 1 day, 0:08:47
2023-07-20 14:12:51,021 semantic_segmentation INFO: Iters: 25380/50000 || Lr: 0.010571 || Task Loss: 0.1057 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:52:54 || Estimated Time: 1 day, 0:08:11
2023-07-20 14:13:25,402 semantic_segmentation INFO: Iters: 25390/50000 || Lr: 0.010568 || Task Loss: 0.1226 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:53:29 || Estimated Time: 1 day, 0:07:35
2023-07-20 14:13:59,795 semantic_segmentation INFO: Iters: 25400/50000 || Lr: 0.010564 || Task Loss: 0.1191 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:54:03 || Estimated Time: 1 day, 0:06:58
2023-07-20 14:14:34,225 semantic_segmentation INFO: Iters: 25410/50000 || Lr: 0.010560 || Task Loss: 0.1012 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:54:37 || Estimated Time: 1 day, 0:06:22
2023-07-20 14:15:08,605 semantic_segmentation INFO: Iters: 25420/50000 || Lr: 0.010556 || Task Loss: 0.1214 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:55:12 || Estimated Time: 1 day, 0:05:46
2023-07-20 14:15:42,777 semantic_segmentation INFO: Iters: 25430/50000 || Lr: 0.010552 || Task Loss: 0.1295 || KD Loss: 0.0455|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1233|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:55:46 || Estimated Time: 1 day, 0:05:10
2023-07-20 14:16:17,053 semantic_segmentation INFO: Iters: 25440/50000 || Lr: 0.010548 || Task Loss: 0.1158 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:56:20 || Estimated Time: 1 day, 0:04:33
2023-07-20 14:16:51,342 semantic_segmentation INFO: Iters: 25450/50000 || Lr: 0.010544 || Task Loss: 0.1045 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:56:54 || Estimated Time: 1 day, 0:03:57
2023-07-20 14:17:25,392 semantic_segmentation INFO: Iters: 25460/50000 || Lr: 0.010540 || Task Loss: 0.1244 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:57:28 || Estimated Time: 1 day, 0:03:21
2023-07-20 14:17:59,622 semantic_segmentation INFO: Iters: 25470/50000 || Lr: 0.010537 || Task Loss: 0.1230 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:58:03 || Estimated Time: 1 day, 0:02:44
2023-07-20 14:18:33,915 semantic_segmentation INFO: Iters: 25480/50000 || Lr: 0.010533 || Task Loss: 0.1155 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:58:37 || Estimated Time: 1 day, 0:02:08
2023-07-20 14:19:08,204 semantic_segmentation INFO: Iters: 25490/50000 || Lr: 0.010529 || Task Loss: 0.1119 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:59:11 || Estimated Time: 1 day, 0:01:32
2023-07-20 14:19:42,545 semantic_segmentation INFO: Iters: 25500/50000 || Lr: 0.010525 || Task Loss: 0.1330 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0840|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:59:46 || Estimated Time: 1 day, 0:00:56
2023-07-20 14:20:16,752 semantic_segmentation INFO: Iters: 25510/50000 || Lr: 0.010521 || Task Loss: 0.1238 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:00:20 || Estimated Time: 1 day, 0:00:19
2023-07-20 14:20:50,919 semantic_segmentation INFO: Iters: 25520/50000 || Lr: 0.010517 || Task Loss: 0.1037 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:00:54 || Estimated Time: 23:59:43
2023-07-20 14:21:24,916 semantic_segmentation INFO: Iters: 25530/50000 || Lr: 0.010513 || Task Loss: 0.0972 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:01:28 || Estimated Time: 23:59:06
2023-07-20 14:21:59,095 semantic_segmentation INFO: Iters: 25540/50000 || Lr: 0.010510 || Task Loss: 0.1006 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:02:02 || Estimated Time: 23:58:30
2023-07-20 14:22:33,328 semantic_segmentation INFO: Iters: 25550/50000 || Lr: 0.010506 || Task Loss: 0.1158 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:02:36 || Estimated Time: 23:57:54
2023-07-20 14:23:07,523 semantic_segmentation INFO: Iters: 25560/50000 || Lr: 0.010502 || Task Loss: 0.1113 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:03:11 || Estimated Time: 23:57:17
2023-07-20 14:23:41,707 semantic_segmentation INFO: Iters: 25570/50000 || Lr: 0.010498 || Task Loss: 0.1115 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:03:45 || Estimated Time: 23:56:41
2023-07-20 14:24:15,791 semantic_segmentation INFO: Iters: 25580/50000 || Lr: 0.010494 || Task Loss: 0.1060 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:04:19 || Estimated Time: 23:56:05
2023-07-20 14:24:50,103 semantic_segmentation INFO: Iters: 25590/50000 || Lr: 0.010490 || Task Loss: 0.1072 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:04:53 || Estimated Time: 23:55:28
2023-07-20 14:25:24,395 semantic_segmentation INFO: Iters: 25600/50000 || Lr: 0.010486 || Task Loss: 0.1184 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:05:27 || Estimated Time: 23:54:52
2023-07-20 14:25:24,460 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 14:25:24,819 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-20 14:25:24,835 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-20 14:25:24,848 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 14:25:24,860 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 14:25:24,873 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.958, mIoU: 0.687
2023-07-20 14:25:24,885 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.958, mIoU: 0.686
2023-07-20 14:25:24,898 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.958, mIoU: 0.686
2023-07-20 14:25:24,910 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.958, mIoU: 0.688
2023-07-20 14:25:24,923 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.958, mIoU: 0.690
2023-07-20 14:25:24,935 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-20 14:25:24,948 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-20 14:25:24,961 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 14:25:24,973 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-20 14:25:24,986 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-20 14:25:24,998 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 14:25:25,011 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-20 14:25:25,024 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-20 14:25:25,037 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 14:25:25,050 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-20 14:25:25,063 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 14:25:25,075 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 14:25:25,088 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-20 14:25:25,101 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 14:25:25,114 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 14:25:25,127 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 14:25:25,139 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 14:25:25,152 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 14:25:25,165 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 14:25:25,177 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 14:25:25,190 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-20 14:25:25,203 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 14:25:25,216 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 14:25:25,229 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 14:25:25,242 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-20 14:25:25,255 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 14:25:25,268 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-20 14:25:25,281 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.688
2023-07-20 14:25:25,293 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.689
2023-07-20 14:25:25,307 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 14:25:25,319 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.691
2023-07-20 14:25:25,333 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 14:25:25,346 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.693
2023-07-20 14:25:25,358 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-20 14:25:25,371 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.697
2023-07-20 14:25:25,385 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 14:25:25,398 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.699
2023-07-20 14:25:25,412 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.700
2023-07-20 14:25:25,426 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.702
2023-07-20 14:25:25,439 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 14:25:25,453 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 14:25:25,466 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 14:25:25,480 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 14:25:25,494 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 14:25:25,507 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 14:25:25,521 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 14:25:25,534 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 14:25:25,548 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-20 14:25:25,561 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-20 14:25:25,575 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-20 14:25:25,589 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 14:25:25,603 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-20 14:25:25,617 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-20 14:25:25,632 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.709
2023-07-20 14:25:25,646 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-20 14:25:25,660 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-20 14:25:25,674 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.711
2023-07-20 14:25:25,688 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-20 14:25:25,703 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.713
2023-07-20 14:25:25,717 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 14:25:25,731 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-20 14:25:25,745 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-20 14:25:25,759 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-20 14:25:25,773 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 14:25:25,787 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 14:25:25,801 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 14:25:25,815 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 14:25:25,829 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-20 14:25:25,843 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-20 14:25:25,857 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-20 14:25:25,870 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 14:25:25,884 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-20 14:25:25,898 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-20 14:25:25,912 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-20 14:25:25,925 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 14:25:25,939 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 14:25:25,952 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 14:25:25,966 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 14:25:25,979 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 14:25:25,993 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.702
2023-07-20 14:25:26,007 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 14:25:26,021 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 14:25:26,035 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 14:25:26,049 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 14:25:26,063 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 14:25:26,078 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 14:25:26,092 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 14:25:26,106 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 14:25:26,119 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 14:25:26,133 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 14:25:26,147 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 14:25:26,161 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 14:26:00,587 semantic_segmentation INFO: Iters: 25610/50000 || Lr: 0.010482 || Task Loss: 0.1135 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:06:04 || Estimated Time: 23:54:18
2023-07-20 14:26:34,813 semantic_segmentation INFO: Iters: 25620/50000 || Lr: 0.010479 || Task Loss: 0.1048 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:06:38 || Estimated Time: 23:53:42
2023-07-20 14:27:09,224 semantic_segmentation INFO: Iters: 25630/50000 || Lr: 0.010475 || Task Loss: 0.1373 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:07:12 || Estimated Time: 23:53:05
2023-07-20 14:27:43,584 semantic_segmentation INFO: Iters: 25640/50000 || Lr: 0.010471 || Task Loss: 0.1288 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:07:47 || Estimated Time: 23:52:29
2023-07-20 14:28:17,992 semantic_segmentation INFO: Iters: 25650/50000 || Lr: 0.010467 || Task Loss: 0.1186 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:08:21 || Estimated Time: 23:51:53
2023-07-20 14:28:52,199 semantic_segmentation INFO: Iters: 25660/50000 || Lr: 0.010463 || Task Loss: 0.1287 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0907|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:08:55 || Estimated Time: 23:51:17
2023-07-20 14:29:26,435 semantic_segmentation INFO: Iters: 25670/50000 || Lr: 0.010459 || Task Loss: 0.1076 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1125|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:09:30 || Estimated Time: 23:50:41
2023-07-20 14:30:00,599 semantic_segmentation INFO: Iters: 25680/50000 || Lr: 0.010455 || Task Loss: 0.1238 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:10:04 || Estimated Time: 23:50:04
2023-07-20 14:30:35,045 semantic_segmentation INFO: Iters: 25690/50000 || Lr: 0.010452 || Task Loss: 0.0988 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1096|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:10:38 || Estimated Time: 23:49:28
2023-07-20 14:31:09,448 semantic_segmentation INFO: Iters: 25700/50000 || Lr: 0.010448 || Task Loss: 0.1257 || KD Loss: 0.0412|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1109|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:11:13 || Estimated Time: 23:48:52
2023-07-20 14:31:43,704 semantic_segmentation INFO: Iters: 25710/50000 || Lr: 0.010444 || Task Loss: 0.1027 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:11:47 || Estimated Time: 23:48:16
2023-07-20 14:32:18,139 semantic_segmentation INFO: Iters: 25720/50000 || Lr: 0.010440 || Task Loss: 0.1040 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:12:21 || Estimated Time: 23:47:40
2023-07-20 14:32:52,462 semantic_segmentation INFO: Iters: 25730/50000 || Lr: 0.010436 || Task Loss: 0.1047 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:12:56 || Estimated Time: 23:47:04
2023-07-20 14:33:26,907 semantic_segmentation INFO: Iters: 25740/50000 || Lr: 0.010432 || Task Loss: 0.0977 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:13:30 || Estimated Time: 23:46:27
2023-07-20 14:34:01,268 semantic_segmentation INFO: Iters: 25750/50000 || Lr: 0.010428 || Task Loss: 0.1134 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:14:04 || Estimated Time: 23:45:51
2023-07-20 14:34:35,650 semantic_segmentation INFO: Iters: 25760/50000 || Lr: 0.010424 || Task Loss: 0.1266 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:14:39 || Estimated Time: 23:45:15
2023-07-20 14:35:09,953 semantic_segmentation INFO: Iters: 25770/50000 || Lr: 0.010421 || Task Loss: 0.1211 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:15:13 || Estimated Time: 23:44:39
2023-07-20 14:35:44,172 semantic_segmentation INFO: Iters: 25780/50000 || Lr: 0.010417 || Task Loss: 0.1195 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0885|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:15:47 || Estimated Time: 23:44:03
2023-07-20 14:36:18,327 semantic_segmentation INFO: Iters: 25790/50000 || Lr: 0.010413 || Task Loss: 0.1134 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:16:21 || Estimated Time: 23:43:26
2023-07-20 14:36:52,704 semantic_segmentation INFO: Iters: 25800/50000 || Lr: 0.010409 || Task Loss: 0.0945 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:16:56 || Estimated Time: 23:42:50
2023-07-20 14:37:27,102 semantic_segmentation INFO: Iters: 25810/50000 || Lr: 0.010405 || Task Loss: 0.1210 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:17:30 || Estimated Time: 23:42:14
2023-07-20 14:38:01,500 semantic_segmentation INFO: Iters: 25820/50000 || Lr: 0.010401 || Task Loss: 0.1161 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:18:05 || Estimated Time: 23:41:38
2023-07-20 14:38:35,955 semantic_segmentation INFO: Iters: 25830/50000 || Lr: 0.010397 || Task Loss: 0.1241 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:18:39 || Estimated Time: 23:41:02
2023-07-20 14:39:10,285 semantic_segmentation INFO: Iters: 25840/50000 || Lr: 0.010393 || Task Loss: 0.1344 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:19:13 || Estimated Time: 23:40:26
2023-07-20 14:39:44,921 semantic_segmentation INFO: Iters: 25850/50000 || Lr: 0.010390 || Task Loss: 0.1291 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:19:48 || Estimated Time: 23:39:50
2023-07-20 14:40:19,297 semantic_segmentation INFO: Iters: 25860/50000 || Lr: 0.010386 || Task Loss: 0.1000 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:20:22 || Estimated Time: 23:39:14
2023-07-20 14:40:53,739 semantic_segmentation INFO: Iters: 25870/50000 || Lr: 0.010382 || Task Loss: 0.0900 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:20:57 || Estimated Time: 23:38:38
2023-07-20 14:41:28,137 semantic_segmentation INFO: Iters: 25880/50000 || Lr: 0.010378 || Task Loss: 0.1364 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:21:31 || Estimated Time: 23:38:02
2023-07-20 14:42:02,497 semantic_segmentation INFO: Iters: 25890/50000 || Lr: 0.010374 || Task Loss: 0.1084 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:22:06 || Estimated Time: 23:37:26
2023-07-20 14:42:36,729 semantic_segmentation INFO: Iters: 25900/50000 || Lr: 0.010370 || Task Loss: 0.1098 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:22:40 || Estimated Time: 23:36:49
2023-07-20 14:43:11,116 semantic_segmentation INFO: Iters: 25910/50000 || Lr: 0.010366 || Task Loss: 0.1214 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:23:14 || Estimated Time: 23:36:13
2023-07-20 14:43:45,572 semantic_segmentation INFO: Iters: 25920/50000 || Lr: 0.010362 || Task Loss: 0.1142 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:23:49 || Estimated Time: 23:35:37
2023-07-20 14:44:19,863 semantic_segmentation INFO: Iters: 25930/50000 || Lr: 0.010359 || Task Loss: 0.1258 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:24:23 || Estimated Time: 23:35:01
2023-07-20 14:44:54,284 semantic_segmentation INFO: Iters: 25940/50000 || Lr: 0.010355 || Task Loss: 0.1107 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:24:57 || Estimated Time: 23:34:25
2023-07-20 14:45:28,687 semantic_segmentation INFO: Iters: 25950/50000 || Lr: 0.010351 || Task Loss: 0.1050 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1135|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:25:32 || Estimated Time: 23:33:49
2023-07-20 14:46:03,152 semantic_segmentation INFO: Iters: 25960/50000 || Lr: 0.010347 || Task Loss: 0.0973 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1112|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:26:06 || Estimated Time: 23:33:13
2023-07-20 14:46:37,830 semantic_segmentation INFO: Iters: 25970/50000 || Lr: 0.010343 || Task Loss: 0.1163 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:26:41 || Estimated Time: 23:32:37
2023-07-20 14:47:12,137 semantic_segmentation INFO: Iters: 25980/50000 || Lr: 0.010339 || Task Loss: 0.1210 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:27:15 || Estimated Time: 23:32:01
2023-07-20 14:47:46,544 semantic_segmentation INFO: Iters: 25990/50000 || Lr: 0.010335 || Task Loss: 0.1201 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:27:50 || Estimated Time: 23:31:25
2023-07-20 14:48:20,952 semantic_segmentation INFO: Iters: 26000/50000 || Lr: 0.010332 || Task Loss: 0.1305 || KD Loss: 0.0443|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1155|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:28:24 || Estimated Time: 23:30:49
2023-07-20 14:48:55,253 semantic_segmentation INFO: Iters: 26010/50000 || Lr: 0.010328 || Task Loss: 0.1167 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:28:58 || Estimated Time: 23:30:13
2023-07-20 14:49:29,670 semantic_segmentation INFO: Iters: 26020/50000 || Lr: 0.010324 || Task Loss: 0.1287 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:29:33 || Estimated Time: 23:29:37
2023-07-20 14:50:03,990 semantic_segmentation INFO: Iters: 26030/50000 || Lr: 0.010320 || Task Loss: 0.1179 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0877|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:30:07 || Estimated Time: 23:29:00
2023-07-20 14:50:38,369 semantic_segmentation INFO: Iters: 26040/50000 || Lr: 0.010316 || Task Loss: 0.1491 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:30:41 || Estimated Time: 23:28:24
2023-07-20 14:51:12,788 semantic_segmentation INFO: Iters: 26050/50000 || Lr: 0.010312 || Task Loss: 0.1037 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1125|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:31:16 || Estimated Time: 23:27:48
2023-07-20 14:51:47,205 semantic_segmentation INFO: Iters: 26060/50000 || Lr: 0.010308 || Task Loss: 0.1203 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:31:50 || Estimated Time: 23:27:12
2023-07-20 14:52:21,567 semantic_segmentation INFO: Iters: 26070/50000 || Lr: 0.010304 || Task Loss: 0.1169 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0830|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:32:25 || Estimated Time: 23:26:36
2023-07-20 14:52:56,046 semantic_segmentation INFO: Iters: 26080/50000 || Lr: 0.010301 || Task Loss: 0.1147 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:32:59 || Estimated Time: 23:26:00
2023-07-20 14:53:30,533 semantic_segmentation INFO: Iters: 26090/50000 || Lr: 0.010297 || Task Loss: 0.1143 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:33:34 || Estimated Time: 23:25:24
2023-07-20 14:54:04,857 semantic_segmentation INFO: Iters: 26100/50000 || Lr: 0.010293 || Task Loss: 0.1093 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:34:08 || Estimated Time: 23:24:48
2023-07-20 14:54:39,233 semantic_segmentation INFO: Iters: 26110/50000 || Lr: 0.010289 || Task Loss: 0.1269 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1074|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:34:42 || Estimated Time: 23:24:12
2023-07-20 14:55:13,674 semantic_segmentation INFO: Iters: 26120/50000 || Lr: 0.010285 || Task Loss: 0.1087 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:35:17 || Estimated Time: 23:23:36
2023-07-20 14:55:48,049 semantic_segmentation INFO: Iters: 26130/50000 || Lr: 0.010281 || Task Loss: 0.1216 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0810|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:35:51 || Estimated Time: 23:23:00
2023-07-20 14:56:22,487 semantic_segmentation INFO: Iters: 26140/50000 || Lr: 0.010277 || Task Loss: 0.1105 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:36:26 || Estimated Time: 23:22:24
2023-07-20 14:56:56,839 semantic_segmentation INFO: Iters: 26150/50000 || Lr: 0.010273 || Task Loss: 0.1247 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:37:00 || Estimated Time: 23:21:48
2023-07-20 14:57:31,233 semantic_segmentation INFO: Iters: 26160/50000 || Lr: 0.010269 || Task Loss: 0.1219 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:37:34 || Estimated Time: 23:21:12
2023-07-20 14:58:05,494 semantic_segmentation INFO: Iters: 26170/50000 || Lr: 0.010266 || Task Loss: 0.1038 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:38:09 || Estimated Time: 23:20:35
2023-07-20 14:58:39,916 semantic_segmentation INFO: Iters: 26180/50000 || Lr: 0.010262 || Task Loss: 0.1150 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:38:43 || Estimated Time: 23:19:59
2023-07-20 14:59:14,247 semantic_segmentation INFO: Iters: 26190/50000 || Lr: 0.010258 || Task Loss: 0.1279 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:39:17 || Estimated Time: 23:19:23
2023-07-20 14:59:48,606 semantic_segmentation INFO: Iters: 26200/50000 || Lr: 0.010254 || Task Loss: 0.1058 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:39:52 || Estimated Time: 23:18:47
2023-07-20 15:00:23,075 semantic_segmentation INFO: Iters: 26210/50000 || Lr: 0.010250 || Task Loss: 0.1098 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:40:26 || Estimated Time: 23:18:11
2023-07-20 15:00:57,481 semantic_segmentation INFO: Iters: 26220/50000 || Lr: 0.010246 || Task Loss: 0.1127 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:41:01 || Estimated Time: 23:17:35
2023-07-20 15:01:31,824 semantic_segmentation INFO: Iters: 26230/50000 || Lr: 0.010242 || Task Loss: 0.1073 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:41:35 || Estimated Time: 23:16:59
2023-07-20 15:02:06,151 semantic_segmentation INFO: Iters: 26240/50000 || Lr: 0.010238 || Task Loss: 0.1073 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:42:09 || Estimated Time: 23:16:23
2023-07-20 15:02:40,562 semantic_segmentation INFO: Iters: 26250/50000 || Lr: 0.010235 || Task Loss: 0.1023 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:42:44 || Estimated Time: 23:15:47
2023-07-20 15:03:14,976 semantic_segmentation INFO: Iters: 26260/50000 || Lr: 0.010231 || Task Loss: 0.1175 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:43:18 || Estimated Time: 23:15:11
2023-07-20 15:03:49,334 semantic_segmentation INFO: Iters: 26270/50000 || Lr: 0.010227 || Task Loss: 0.0988 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:43:52 || Estimated Time: 23:14:35
2023-07-20 15:04:23,708 semantic_segmentation INFO: Iters: 26280/50000 || Lr: 0.010223 || Task Loss: 0.1100 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:44:27 || Estimated Time: 23:13:59
2023-07-20 15:04:58,116 semantic_segmentation INFO: Iters: 26290/50000 || Lr: 0.010219 || Task Loss: 0.1309 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:45:01 || Estimated Time: 23:13:23
2023-07-20 15:05:32,496 semantic_segmentation INFO: Iters: 26300/50000 || Lr: 0.010215 || Task Loss: 0.1032 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:45:36 || Estimated Time: 23:12:47
2023-07-20 15:06:06,836 semantic_segmentation INFO: Iters: 26310/50000 || Lr: 0.010211 || Task Loss: 0.1166 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:46:10 || Estimated Time: 23:12:11
2023-07-20 15:06:41,153 semantic_segmentation INFO: Iters: 26320/50000 || Lr: 0.010207 || Task Loss: 0.1021 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:46:44 || Estimated Time: 23:11:35
2023-07-20 15:07:15,451 semantic_segmentation INFO: Iters: 26330/50000 || Lr: 0.010204 || Task Loss: 0.1028 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:47:19 || Estimated Time: 23:10:58
2023-07-20 15:07:49,947 semantic_segmentation INFO: Iters: 26340/50000 || Lr: 0.010200 || Task Loss: 0.1237 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:47:53 || Estimated Time: 23:10:22
2023-07-20 15:08:24,247 semantic_segmentation INFO: Iters: 26350/50000 || Lr: 0.010196 || Task Loss: 0.1059 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:48:27 || Estimated Time: 23:09:46
2023-07-20 15:08:58,595 semantic_segmentation INFO: Iters: 26360/50000 || Lr: 0.010192 || Task Loss: 0.0901 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:49:02 || Estimated Time: 23:09:10
2023-07-20 15:09:33,004 semantic_segmentation INFO: Iters: 26370/50000 || Lr: 0.010188 || Task Loss: 0.1227 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:49:36 || Estimated Time: 23:08:34
2023-07-20 15:10:07,404 semantic_segmentation INFO: Iters: 26380/50000 || Lr: 0.010184 || Task Loss: 0.1107 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1145|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:50:11 || Estimated Time: 23:07:58
2023-07-20 15:10:41,868 semantic_segmentation INFO: Iters: 26390/50000 || Lr: 0.010180 || Task Loss: 0.1229 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:50:45 || Estimated Time: 23:07:22
2023-07-20 15:11:16,192 semantic_segmentation INFO: Iters: 26400/50000 || Lr: 0.010176 || Task Loss: 0.1258 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0824|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:51:19 || Estimated Time: 23:06:46
2023-07-20 15:11:16,256 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 15:11:16,634 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 15:11:16,660 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.706
2023-07-20 15:11:16,673 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.705
2023-07-20 15:11:16,686 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-20 15:11:16,699 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 15:11:16,712 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 15:11:16,725 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.692
2023-07-20 15:11:16,738 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 15:11:16,751 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-20 15:11:16,764 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 15:11:16,776 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-20 15:11:16,789 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-20 15:11:16,802 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 15:11:16,815 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 15:11:16,829 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.697
2023-07-20 15:11:16,842 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 15:11:16,856 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-20 15:11:16,869 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-20 15:11:16,883 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-20 15:11:16,896 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-20 15:11:16,909 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-20 15:11:16,923 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-20 15:11:16,936 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 15:11:16,949 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 15:11:16,963 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 15:11:16,976 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 15:11:16,990 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 15:11:17,003 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 15:11:17,017 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 15:11:17,030 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 15:11:17,044 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.683
2023-07-20 15:11:17,058 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.684
2023-07-20 15:11:17,072 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-20 15:11:17,085 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.686
2023-07-20 15:11:17,099 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-20 15:11:17,113 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-20 15:11:17,127 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.688
2023-07-20 15:11:17,141 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.689
2023-07-20 15:11:17,154 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 15:11:17,168 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.691
2023-07-20 15:11:17,182 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 15:11:17,195 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.693
2023-07-20 15:11:17,209 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-20 15:11:17,223 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.697
2023-07-20 15:11:17,237 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 15:11:17,251 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.699
2023-07-20 15:11:17,266 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.700
2023-07-20 15:11:17,280 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.702
2023-07-20 15:11:17,294 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 15:11:17,309 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 15:11:17,323 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 15:11:17,337 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 15:11:17,351 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 15:11:17,365 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 15:11:17,380 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 15:11:17,394 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 15:11:17,408 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 15:11:17,422 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.705
2023-07-20 15:11:17,436 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-20 15:11:17,451 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 15:11:17,465 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 15:11:17,479 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-20 15:11:17,493 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.709
2023-07-20 15:11:17,507 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.710
2023-07-20 15:11:17,521 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-20 15:11:17,535 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.711
2023-07-20 15:11:17,549 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-20 15:11:17,563 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.713
2023-07-20 15:11:17,577 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 15:11:17,590 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-20 15:11:17,604 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-20 15:11:17,618 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-20 15:11:17,632 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 15:11:17,645 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 15:11:17,660 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 15:11:17,674 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 15:11:17,688 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-20 15:11:17,703 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-20 15:11:17,717 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-20 15:11:17,731 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 15:11:17,745 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-20 15:11:17,760 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-20 15:11:17,774 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 15:11:17,788 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 15:11:17,802 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 15:11:17,816 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 15:11:17,830 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 15:11:17,844 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 15:11:17,858 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 15:11:17,872 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 15:11:17,886 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 15:11:17,900 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 15:11:17,914 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 15:11:17,928 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 15:11:17,942 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 15:11:17,955 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 15:11:17,969 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 15:11:17,982 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 15:11:17,996 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 15:11:18,009 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 15:11:18,023 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 15:11:52,604 semantic_segmentation INFO: Iters: 26410/50000 || Lr: 0.010173 || Task Loss: 0.1054 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:51:56 || Estimated Time: 23:06:12
2023-07-20 15:12:26,949 semantic_segmentation INFO: Iters: 26420/50000 || Lr: 0.010169 || Task Loss: 0.1228 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1161|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:52:30 || Estimated Time: 23:05:36
2023-07-20 15:13:01,256 semantic_segmentation INFO: Iters: 26430/50000 || Lr: 0.010165 || Task Loss: 0.1082 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:53:04 || Estimated Time: 23:05:00
2023-07-20 15:13:35,690 semantic_segmentation INFO: Iters: 26440/50000 || Lr: 0.010161 || Task Loss: 0.1096 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:53:39 || Estimated Time: 23:04:24
2023-07-20 15:14:10,142 semantic_segmentation INFO: Iters: 26450/50000 || Lr: 0.010157 || Task Loss: 0.1018 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:54:13 || Estimated Time: 23:03:48
2023-07-20 15:14:44,544 semantic_segmentation INFO: Iters: 26460/50000 || Lr: 0.010153 || Task Loss: 0.1138 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1132|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:54:48 || Estimated Time: 23:03:12
2023-07-20 15:15:18,993 semantic_segmentation INFO: Iters: 26470/50000 || Lr: 0.010149 || Task Loss: 0.1235 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:55:22 || Estimated Time: 23:02:36
2023-07-20 15:15:53,344 semantic_segmentation INFO: Iters: 26480/50000 || Lr: 0.010145 || Task Loss: 0.1029 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:55:56 || Estimated Time: 23:02:00
2023-07-20 15:16:27,726 semantic_segmentation INFO: Iters: 26490/50000 || Lr: 0.010141 || Task Loss: 0.1205 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0880|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:56:31 || Estimated Time: 23:01:24
2023-07-20 15:17:02,044 semantic_segmentation INFO: Iters: 26500/50000 || Lr: 0.010138 || Task Loss: 0.1246 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:57:05 || Estimated Time: 23:00:48
2023-07-20 15:17:36,415 semantic_segmentation INFO: Iters: 26510/50000 || Lr: 0.010134 || Task Loss: 0.1152 || KD Loss: 0.0386|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1144|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:57:40 || Estimated Time: 23:00:12
2023-07-20 15:18:10,919 semantic_segmentation INFO: Iters: 26520/50000 || Lr: 0.010130 || Task Loss: 0.1224 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:58:14 || Estimated Time: 22:59:36
2023-07-20 15:18:45,335 semantic_segmentation INFO: Iters: 26530/50000 || Lr: 0.010126 || Task Loss: 0.0933 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:58:48 || Estimated Time: 22:59:00
2023-07-20 15:19:19,740 semantic_segmentation INFO: Iters: 26540/50000 || Lr: 0.010122 || Task Loss: 0.1278 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:59:23 || Estimated Time: 22:58:24
2023-07-20 15:19:54,139 semantic_segmentation INFO: Iters: 26550/50000 || Lr: 0.010118 || Task Loss: 0.1300 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:59:57 || Estimated Time: 22:57:48
2023-07-20 15:20:28,563 semantic_segmentation INFO: Iters: 26560/50000 || Lr: 0.010114 || Task Loss: 0.1142 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:00:32 || Estimated Time: 22:57:12
2023-07-20 15:21:03,058 semantic_segmentation INFO: Iters: 26570/50000 || Lr: 0.010110 || Task Loss: 0.1216 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:01:06 || Estimated Time: 22:56:36
2023-07-20 15:21:37,381 semantic_segmentation INFO: Iters: 26580/50000 || Lr: 0.010107 || Task Loss: 0.1379 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:01:40 || Estimated Time: 22:56:00
2023-07-20 15:22:11,779 semantic_segmentation INFO: Iters: 26590/50000 || Lr: 0.010103 || Task Loss: 0.1216 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:02:15 || Estimated Time: 22:55:24
2023-07-20 15:22:46,045 semantic_segmentation INFO: Iters: 26600/50000 || Lr: 0.010099 || Task Loss: 0.0945 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:02:49 || Estimated Time: 22:54:48
2023-07-20 15:23:20,484 semantic_segmentation INFO: Iters: 26610/50000 || Lr: 0.010095 || Task Loss: 0.1116 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1118|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:03:24 || Estimated Time: 22:54:12
2023-07-20 15:23:54,796 semantic_segmentation INFO: Iters: 26620/50000 || Lr: 0.010091 || Task Loss: 0.1038 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:03:58 || Estimated Time: 22:53:36
2023-07-20 15:24:29,002 semantic_segmentation INFO: Iters: 26630/50000 || Lr: 0.010087 || Task Loss: 0.1112 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:04:32 || Estimated Time: 22:52:59
2023-07-20 15:25:03,433 semantic_segmentation INFO: Iters: 26640/50000 || Lr: 0.010083 || Task Loss: 0.1265 || KD Loss: 0.0420|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1103|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:05:07 || Estimated Time: 22:52:23
2023-07-20 15:25:37,840 semantic_segmentation INFO: Iters: 26650/50000 || Lr: 0.010079 || Task Loss: 0.1184 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:05:41 || Estimated Time: 22:51:47
2023-07-20 15:26:12,389 semantic_segmentation INFO: Iters: 26660/50000 || Lr: 0.010075 || Task Loss: 0.1037 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:06:15 || Estimated Time: 22:51:12
2023-07-20 15:26:46,670 semantic_segmentation INFO: Iters: 26670/50000 || Lr: 0.010072 || Task Loss: 0.1167 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:06:50 || Estimated Time: 22:50:35
2023-07-20 15:27:20,964 semantic_segmentation INFO: Iters: 26680/50000 || Lr: 0.010068 || Task Loss: 0.1260 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:07:24 || Estimated Time: 22:49:59
2023-07-20 15:27:55,397 semantic_segmentation INFO: Iters: 26690/50000 || Lr: 0.010064 || Task Loss: 0.1455 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:07:58 || Estimated Time: 22:49:23
2023-07-20 15:28:29,805 semantic_segmentation INFO: Iters: 26700/50000 || Lr: 0.010060 || Task Loss: 0.1172 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:08:33 || Estimated Time: 22:48:47
2023-07-20 15:29:04,216 semantic_segmentation INFO: Iters: 26710/50000 || Lr: 0.010056 || Task Loss: 0.1103 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:09:07 || Estimated Time: 22:48:11
2023-07-20 15:29:38,521 semantic_segmentation INFO: Iters: 26720/50000 || Lr: 0.010052 || Task Loss: 0.0972 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:09:42 || Estimated Time: 22:47:35
2023-07-20 15:30:12,853 semantic_segmentation INFO: Iters: 26730/50000 || Lr: 0.010048 || Task Loss: 0.1140 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:10:16 || Estimated Time: 22:46:59
2023-07-20 15:30:47,190 semantic_segmentation INFO: Iters: 26740/50000 || Lr: 0.010044 || Task Loss: 0.1236 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:10:50 || Estimated Time: 22:46:23
2023-07-20 15:31:21,532 semantic_segmentation INFO: Iters: 26750/50000 || Lr: 0.010040 || Task Loss: 0.1117 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1113|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:11:25 || Estimated Time: 22:45:47
2023-07-20 15:31:55,869 semantic_segmentation INFO: Iters: 26760/50000 || Lr: 0.010037 || Task Loss: 0.0877 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:11:59 || Estimated Time: 22:45:11
2023-07-20 15:32:30,278 semantic_segmentation INFO: Iters: 26770/50000 || Lr: 0.010033 || Task Loss: 0.1049 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:12:33 || Estimated Time: 22:44:35
2023-07-20 15:33:04,555 semantic_segmentation INFO: Iters: 26780/50000 || Lr: 0.010029 || Task Loss: 0.1524 || KD Loss: 0.0378|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0856|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:13:08 || Estimated Time: 22:43:59
2023-07-20 15:33:39,013 semantic_segmentation INFO: Iters: 26790/50000 || Lr: 0.010025 || Task Loss: 0.1187 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:13:42 || Estimated Time: 22:43:23
2023-07-20 15:34:13,305 semantic_segmentation INFO: Iters: 26800/50000 || Lr: 0.010021 || Task Loss: 0.1192 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:14:16 || Estimated Time: 22:42:47
2023-07-20 15:34:47,539 semantic_segmentation INFO: Iters: 26810/50000 || Lr: 0.010017 || Task Loss: 0.1047 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:14:51 || Estimated Time: 22:42:11
2023-07-20 15:35:21,918 semantic_segmentation INFO: Iters: 26820/50000 || Lr: 0.010013 || Task Loss: 0.1231 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:15:25 || Estimated Time: 22:41:35
2023-07-20 15:35:56,238 semantic_segmentation INFO: Iters: 26830/50000 || Lr: 0.010009 || Task Loss: 0.1138 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:15:59 || Estimated Time: 22:40:59
2023-07-20 15:36:30,724 semantic_segmentation INFO: Iters: 26840/50000 || Lr: 0.010005 || Task Loss: 0.1120 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:16:34 || Estimated Time: 22:40:23
2023-07-20 15:37:04,959 semantic_segmentation INFO: Iters: 26850/50000 || Lr: 0.010002 || Task Loss: 0.1096 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:17:08 || Estimated Time: 22:39:47
2023-07-20 15:37:39,338 semantic_segmentation INFO: Iters: 26860/50000 || Lr: 0.009998 || Task Loss: 0.1131 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:17:42 || Estimated Time: 22:39:11
2023-07-20 15:38:13,742 semantic_segmentation INFO: Iters: 26870/50000 || Lr: 0.009994 || Task Loss: 0.1305 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:18:17 || Estimated Time: 22:38:35
2023-07-20 15:38:47,994 semantic_segmentation INFO: Iters: 26880/50000 || Lr: 0.009990 || Task Loss: 0.1255 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:18:51 || Estimated Time: 22:37:59
2023-07-20 15:39:22,303 semantic_segmentation INFO: Iters: 26890/50000 || Lr: 0.009986 || Task Loss: 0.1212 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:19:25 || Estimated Time: 22:37:23
2023-07-20 15:39:56,698 semantic_segmentation INFO: Iters: 26900/50000 || Lr: 0.009982 || Task Loss: 0.1077 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:20:00 || Estimated Time: 22:36:47
2023-07-20 15:40:30,995 semantic_segmentation INFO: Iters: 26910/50000 || Lr: 0.009978 || Task Loss: 0.1227 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:20:34 || Estimated Time: 22:36:11
2023-07-20 15:41:05,473 semantic_segmentation INFO: Iters: 26920/50000 || Lr: 0.009974 || Task Loss: 0.1084 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:21:09 || Estimated Time: 22:35:35
2023-07-20 15:41:39,824 semantic_segmentation INFO: Iters: 26930/50000 || Lr: 0.009970 || Task Loss: 0.1237 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:21:43 || Estimated Time: 22:34:59
2023-07-20 15:42:14,206 semantic_segmentation INFO: Iters: 26940/50000 || Lr: 0.009967 || Task Loss: 0.1062 || KD Loss: 0.0400|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:22:17 || Estimated Time: 22:34:23
2023-07-20 15:42:48,550 semantic_segmentation INFO: Iters: 26950/50000 || Lr: 0.009963 || Task Loss: 0.1055 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:22:52 || Estimated Time: 22:33:47
2023-07-20 15:43:22,933 semantic_segmentation INFO: Iters: 26960/50000 || Lr: 0.009959 || Task Loss: 0.1309 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:23:26 || Estimated Time: 22:33:11
2023-07-20 15:43:57,321 semantic_segmentation INFO: Iters: 26970/50000 || Lr: 0.009955 || Task Loss: 0.0958 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:24:00 || Estimated Time: 22:32:35
2023-07-20 15:44:31,751 semantic_segmentation INFO: Iters: 26980/50000 || Lr: 0.009951 || Task Loss: 0.1264 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:24:35 || Estimated Time: 22:31:59
2023-07-20 15:45:06,211 semantic_segmentation INFO: Iters: 26990/50000 || Lr: 0.009947 || Task Loss: 0.0994 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:25:09 || Estimated Time: 22:31:23
2023-07-20 15:45:40,595 semantic_segmentation INFO: Iters: 27000/50000 || Lr: 0.009943 || Task Loss: 0.1081 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:25:44 || Estimated Time: 22:30:47
2023-07-20 15:46:14,961 semantic_segmentation INFO: Iters: 27010/50000 || Lr: 0.009939 || Task Loss: 0.1169 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:26:18 || Estimated Time: 22:30:11
2023-07-20 15:46:49,378 semantic_segmentation INFO: Iters: 27020/50000 || Lr: 0.009935 || Task Loss: 0.1152 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:26:52 || Estimated Time: 22:29:35
2023-07-20 15:47:23,656 semantic_segmentation INFO: Iters: 27030/50000 || Lr: 0.009932 || Task Loss: 0.1396 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:27:27 || Estimated Time: 22:28:59
2023-07-20 15:47:58,081 semantic_segmentation INFO: Iters: 27040/50000 || Lr: 0.009928 || Task Loss: 0.1094 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:28:01 || Estimated Time: 22:28:23
2023-07-20 15:48:32,480 semantic_segmentation INFO: Iters: 27050/50000 || Lr: 0.009924 || Task Loss: 0.1065 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:28:36 || Estimated Time: 22:27:47
2023-07-20 15:49:06,846 semantic_segmentation INFO: Iters: 27060/50000 || Lr: 0.009920 || Task Loss: 0.1273 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:29:10 || Estimated Time: 22:27:11
2023-07-20 15:49:41,290 semantic_segmentation INFO: Iters: 27070/50000 || Lr: 0.009916 || Task Loss: 0.1138 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:29:44 || Estimated Time: 22:26:36
2023-07-20 15:50:15,691 semantic_segmentation INFO: Iters: 27080/50000 || Lr: 0.009912 || Task Loss: 0.1282 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:30:19 || Estimated Time: 22:26:00
2023-07-20 15:50:50,276 semantic_segmentation INFO: Iters: 27090/50000 || Lr: 0.009908 || Task Loss: 0.1242 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:30:53 || Estimated Time: 22:25:24
2023-07-20 15:51:24,604 semantic_segmentation INFO: Iters: 27100/50000 || Lr: 0.009904 || Task Loss: 0.1219 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:31:28 || Estimated Time: 22:24:48
2023-07-20 15:51:58,926 semantic_segmentation INFO: Iters: 27110/50000 || Lr: 0.009900 || Task Loss: 0.1267 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:32:02 || Estimated Time: 22:24:12
2023-07-20 15:52:33,301 semantic_segmentation INFO: Iters: 27120/50000 || Lr: 0.009897 || Task Loss: 0.1358 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:32:36 || Estimated Time: 22:23:36
2023-07-20 15:53:07,881 semantic_segmentation INFO: Iters: 27130/50000 || Lr: 0.009893 || Task Loss: 0.1280 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:33:11 || Estimated Time: 22:23:00
2023-07-20 15:53:42,144 semantic_segmentation INFO: Iters: 27140/50000 || Lr: 0.009889 || Task Loss: 0.1173 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:33:45 || Estimated Time: 22:22:24
2023-07-20 15:54:16,562 semantic_segmentation INFO: Iters: 27150/50000 || Lr: 0.009885 || Task Loss: 0.1249 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:34:20 || Estimated Time: 22:21:48
2023-07-20 15:54:51,105 semantic_segmentation INFO: Iters: 27160/50000 || Lr: 0.009881 || Task Loss: 0.1084 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:34:54 || Estimated Time: 22:21:12
2023-07-20 15:55:25,480 semantic_segmentation INFO: Iters: 27170/50000 || Lr: 0.009877 || Task Loss: 0.1020 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:35:29 || Estimated Time: 22:20:36
2023-07-20 15:55:59,936 semantic_segmentation INFO: Iters: 27180/50000 || Lr: 0.009873 || Task Loss: 0.1314 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:36:03 || Estimated Time: 22:20:00
2023-07-20 15:56:34,373 semantic_segmentation INFO: Iters: 27190/50000 || Lr: 0.009869 || Task Loss: 0.1267 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:36:37 || Estimated Time: 22:19:25
2023-07-20 15:57:09,048 semantic_segmentation INFO: Iters: 27200/50000 || Lr: 0.009865 || Task Loss: 0.1269 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:37:12 || Estimated Time: 22:18:49
2023-07-20 15:57:09,111 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 15:57:09,473 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.961, mIoU: 0.697
2023-07-20 15:57:09,492 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.710
2023-07-20 15:57:09,505 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.710
2023-07-20 15:57:09,518 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-20 15:57:09,531 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-20 15:57:09,544 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 15:57:09,556 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 15:57:09,569 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 15:57:09,582 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-20 15:57:09,595 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 15:57:09,608 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 15:57:09,622 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-20 15:57:09,636 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 15:57:09,650 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-20 15:57:09,663 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 15:57:09,677 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-20 15:57:09,691 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-20 15:57:09,705 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-20 15:57:09,718 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-20 15:57:09,732 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-20 15:57:09,745 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-20 15:57:09,759 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-20 15:57:09,773 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-20 15:57:09,786 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 15:57:09,801 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 15:57:09,815 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 15:57:09,830 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 15:57:09,845 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 15:57:09,860 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 15:57:09,875 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 15:57:09,889 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 15:57:09,904 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-20 15:57:09,919 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 15:57:09,934 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 15:57:09,948 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-20 15:57:09,963 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-20 15:57:09,978 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.689
2023-07-20 15:57:09,993 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.689
2023-07-20 15:57:10,006 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 15:57:10,020 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.691
2023-07-20 15:57:10,034 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 15:57:10,048 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.693
2023-07-20 15:57:10,062 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-20 15:57:10,075 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.696
2023-07-20 15:57:10,089 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.697
2023-07-20 15:57:10,103 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.698
2023-07-20 15:57:10,116 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.700
2023-07-20 15:57:10,130 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.701
2023-07-20 15:57:10,144 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.702
2023-07-20 15:57:10,157 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.702
2023-07-20 15:57:10,171 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.702
2023-07-20 15:57:10,185 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.702
2023-07-20 15:57:10,198 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 15:57:10,212 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 15:57:10,226 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.703
2023-07-20 15:57:10,240 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 15:57:10,254 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 15:57:10,268 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.705
2023-07-20 15:57:10,283 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-20 15:57:10,296 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 15:57:10,310 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 15:57:10,325 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-20 15:57:10,339 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.709
2023-07-20 15:57:10,353 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-20 15:57:10,367 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-20 15:57:10,381 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.711
2023-07-20 15:57:10,395 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-20 15:57:10,409 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.713
2023-07-20 15:57:10,423 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 15:57:10,437 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-20 15:57:10,451 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-20 15:57:10,465 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-20 15:57:10,479 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-20 15:57:10,493 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-20 15:57:10,507 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-20 15:57:10,520 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 15:57:10,534 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.713
2023-07-20 15:57:10,548 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-20 15:57:10,562 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-20 15:57:10,575 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-20 15:57:10,589 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.710
2023-07-20 15:57:10,603 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-20 15:57:10,617 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-20 15:57:10,631 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-20 15:57:10,645 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-20 15:57:10,659 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 15:57:10,674 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 15:57:10,688 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 15:57:10,703 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.704
2023-07-20 15:57:10,718 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.703
2023-07-20 15:57:10,732 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.702
2023-07-20 15:57:10,747 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.702
2023-07-20 15:57:10,761 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 15:57:10,776 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 15:57:10,790 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 15:57:10,804 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 15:57:10,818 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 15:57:10,833 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 15:57:10,847 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 15:57:10,861 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 15:57:10,874 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 15:57:45,202 semantic_segmentation INFO: Iters: 27210/50000 || Lr: 0.009862 || Task Loss: 0.1214 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:37:48 || Estimated Time: 22:18:14
2023-07-20 15:58:19,512 semantic_segmentation INFO: Iters: 27220/50000 || Lr: 0.009858 || Task Loss: 0.1112 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:38:23 || Estimated Time: 22:17:38
2023-07-20 15:58:53,945 semantic_segmentation INFO: Iters: 27230/50000 || Lr: 0.009854 || Task Loss: 0.1124 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:38:57 || Estimated Time: 22:17:02
2023-07-20 15:59:28,206 semantic_segmentation INFO: Iters: 27240/50000 || Lr: 0.009850 || Task Loss: 0.0994 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:39:31 || Estimated Time: 22:16:26
2023-07-20 16:00:02,611 semantic_segmentation INFO: Iters: 27250/50000 || Lr: 0.009846 || Task Loss: 0.1224 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:40:06 || Estimated Time: 22:15:50
2023-07-20 16:00:36,879 semantic_segmentation INFO: Iters: 27260/50000 || Lr: 0.009842 || Task Loss: 0.1050 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:40:40 || Estimated Time: 22:15:15
2023-07-20 16:01:11,283 semantic_segmentation INFO: Iters: 27270/50000 || Lr: 0.009838 || Task Loss: 0.1204 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0877|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:41:14 || Estimated Time: 22:14:39
2023-07-20 16:01:45,631 semantic_segmentation INFO: Iters: 27280/50000 || Lr: 0.009834 || Task Loss: 0.1004 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:41:49 || Estimated Time: 22:14:03
2023-07-20 16:02:20,140 semantic_segmentation INFO: Iters: 27290/50000 || Lr: 0.009830 || Task Loss: 0.1060 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:42:23 || Estimated Time: 22:13:27
2023-07-20 16:02:54,562 semantic_segmentation INFO: Iters: 27300/50000 || Lr: 0.009826 || Task Loss: 0.1017 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:42:58 || Estimated Time: 22:12:51
2023-07-20 16:03:28,884 semantic_segmentation INFO: Iters: 27310/50000 || Lr: 0.009823 || Task Loss: 0.1288 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0862|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:43:32 || Estimated Time: 22:12:15
2023-07-20 16:04:03,221 semantic_segmentation INFO: Iters: 27320/50000 || Lr: 0.009819 || Task Loss: 0.1007 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:44:06 || Estimated Time: 22:11:39
2023-07-20 16:04:37,514 semantic_segmentation INFO: Iters: 27330/50000 || Lr: 0.009815 || Task Loss: 0.1033 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0840|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:44:41 || Estimated Time: 22:11:03
2023-07-20 16:05:11,916 semantic_segmentation INFO: Iters: 27340/50000 || Lr: 0.009811 || Task Loss: 0.1198 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:45:15 || Estimated Time: 22:10:27
2023-07-20 16:05:46,318 semantic_segmentation INFO: Iters: 27350/50000 || Lr: 0.009807 || Task Loss: 0.1170 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:45:49 || Estimated Time: 22:09:51
2023-07-20 16:06:20,617 semantic_segmentation INFO: Iters: 27360/50000 || Lr: 0.009803 || Task Loss: 0.1057 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:46:24 || Estimated Time: 22:09:15
2023-07-20 16:06:54,889 semantic_segmentation INFO: Iters: 27370/50000 || Lr: 0.009799 || Task Loss: 0.1214 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:46:58 || Estimated Time: 22:08:39
2023-07-20 16:07:29,506 semantic_segmentation INFO: Iters: 27380/50000 || Lr: 0.009795 || Task Loss: 0.1018 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:47:33 || Estimated Time: 22:08:03
2023-07-20 16:08:03,883 semantic_segmentation INFO: Iters: 27390/50000 || Lr: 0.009791 || Task Loss: 0.1057 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1128|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:48:07 || Estimated Time: 22:07:27
2023-07-20 16:08:38,199 semantic_segmentation INFO: Iters: 27400/50000 || Lr: 0.009788 || Task Loss: 0.1078 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1160|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:48:41 || Estimated Time: 22:06:51
2023-07-20 16:09:12,531 semantic_segmentation INFO: Iters: 27410/50000 || Lr: 0.009784 || Task Loss: 0.1060 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:49:16 || Estimated Time: 22:06:15
2023-07-20 16:09:47,052 semantic_segmentation INFO: Iters: 27420/50000 || Lr: 0.009780 || Task Loss: 0.0957 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:49:50 || Estimated Time: 22:05:40
2023-07-20 16:10:21,392 semantic_segmentation INFO: Iters: 27430/50000 || Lr: 0.009776 || Task Loss: 0.1061 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:50:24 || Estimated Time: 22:05:04
2023-07-20 16:10:55,821 semantic_segmentation INFO: Iters: 27440/50000 || Lr: 0.009772 || Task Loss: 0.1192 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:50:59 || Estimated Time: 22:04:28
2023-07-20 16:11:30,111 semantic_segmentation INFO: Iters: 27450/50000 || Lr: 0.009768 || Task Loss: 0.1302 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:51:33 || Estimated Time: 22:03:52
2023-07-20 16:12:04,511 semantic_segmentation INFO: Iters: 27460/50000 || Lr: 0.009764 || Task Loss: 0.1246 || KD Loss: 0.0399|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0868|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:52:08 || Estimated Time: 22:03:16
2023-07-20 16:12:38,857 semantic_segmentation INFO: Iters: 27470/50000 || Lr: 0.009760 || Task Loss: 0.1117 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:52:42 || Estimated Time: 22:02:40
2023-07-20 16:13:13,235 semantic_segmentation INFO: Iters: 27480/50000 || Lr: 0.009756 || Task Loss: 0.1082 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:53:16 || Estimated Time: 22:02:04
2023-07-20 16:13:47,648 semantic_segmentation INFO: Iters: 27490/50000 || Lr: 0.009752 || Task Loss: 0.1158 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:53:51 || Estimated Time: 22:01:28
2023-07-20 16:14:22,207 semantic_segmentation INFO: Iters: 27500/50000 || Lr: 0.009749 || Task Loss: 0.1116 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:54:25 || Estimated Time: 22:00:52
2023-07-20 16:14:56,680 semantic_segmentation INFO: Iters: 27510/50000 || Lr: 0.009745 || Task Loss: 0.1221 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:55:00 || Estimated Time: 22:00:17
2023-07-20 16:15:31,016 semantic_segmentation INFO: Iters: 27520/50000 || Lr: 0.009741 || Task Loss: 0.1101 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:55:34 || Estimated Time: 21:59:41
2023-07-20 16:16:05,250 semantic_segmentation INFO: Iters: 27530/50000 || Lr: 0.009737 || Task Loss: 0.1348 || KD Loss: 0.0389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:56:08 || Estimated Time: 21:59:05
2023-07-20 16:16:39,595 semantic_segmentation INFO: Iters: 27540/50000 || Lr: 0.009733 || Task Loss: 0.1237 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:56:43 || Estimated Time: 21:58:29
2023-07-20 16:17:13,955 semantic_segmentation INFO: Iters: 27550/50000 || Lr: 0.009729 || Task Loss: 0.0955 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1087|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:57:17 || Estimated Time: 21:57:53
2023-07-20 16:17:48,095 semantic_segmentation INFO: Iters: 27560/50000 || Lr: 0.009725 || Task Loss: 0.0998 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:57:51 || Estimated Time: 21:57:17
2023-07-20 16:18:22,542 semantic_segmentation INFO: Iters: 27570/50000 || Lr: 0.009721 || Task Loss: 0.1155 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:58:26 || Estimated Time: 21:56:41
2023-07-20 16:18:56,831 semantic_segmentation INFO: Iters: 27580/50000 || Lr: 0.009717 || Task Loss: 0.1120 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:59:00 || Estimated Time: 21:56:05
2023-07-20 16:19:31,037 semantic_segmentation INFO: Iters: 27590/50000 || Lr: 0.009713 || Task Loss: 0.0964 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:59:34 || Estimated Time: 21:55:29
2023-07-20 16:20:05,578 semantic_segmentation INFO: Iters: 27600/50000 || Lr: 0.009710 || Task Loss: 0.1012 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:00:09 || Estimated Time: 21:54:53
2023-07-20 16:20:39,821 semantic_segmentation INFO: Iters: 27610/50000 || Lr: 0.009706 || Task Loss: 0.1063 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:00:43 || Estimated Time: 21:54:17
2023-07-20 16:21:14,221 semantic_segmentation INFO: Iters: 27620/50000 || Lr: 0.009702 || Task Loss: 0.1121 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:01:17 || Estimated Time: 21:53:41
2023-07-20 16:21:48,495 semantic_segmentation INFO: Iters: 27630/50000 || Lr: 0.009698 || Task Loss: 0.1266 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:01:52 || Estimated Time: 21:53:05
2023-07-20 16:22:22,778 semantic_segmentation INFO: Iters: 27640/50000 || Lr: 0.009694 || Task Loss: 0.1234 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:02:26 || Estimated Time: 21:52:29
2023-07-20 16:22:57,031 semantic_segmentation INFO: Iters: 27650/50000 || Lr: 0.009690 || Task Loss: 0.1052 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:03:00 || Estimated Time: 21:51:53
2023-07-20 16:23:31,405 semantic_segmentation INFO: Iters: 27660/50000 || Lr: 0.009686 || Task Loss: 0.1320 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:03:35 || Estimated Time: 21:51:17
2023-07-20 16:24:05,642 semantic_segmentation INFO: Iters: 27670/50000 || Lr: 0.009682 || Task Loss: 0.1036 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:04:09 || Estimated Time: 21:50:41
2023-07-20 16:24:39,982 semantic_segmentation INFO: Iters: 27680/50000 || Lr: 0.009678 || Task Loss: 0.1360 || KD Loss: 0.0379|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:04:43 || Estimated Time: 21:50:05
2023-07-20 16:25:14,317 semantic_segmentation INFO: Iters: 27690/50000 || Lr: 0.009674 || Task Loss: 0.0967 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:05:17 || Estimated Time: 21:49:29
2023-07-20 16:25:48,635 semantic_segmentation INFO: Iters: 27700/50000 || Lr: 0.009670 || Task Loss: 0.1301 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:05:52 || Estimated Time: 21:48:53
2023-07-20 16:26:22,964 semantic_segmentation INFO: Iters: 27710/50000 || Lr: 0.009667 || Task Loss: 0.0950 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:06:26 || Estimated Time: 21:48:17
2023-07-20 16:26:57,396 semantic_segmentation INFO: Iters: 27720/50000 || Lr: 0.009663 || Task Loss: 0.1226 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:07:00 || Estimated Time: 21:47:42
2023-07-20 16:27:31,756 semantic_segmentation INFO: Iters: 27730/50000 || Lr: 0.009659 || Task Loss: 0.1198 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:07:35 || Estimated Time: 21:47:06
2023-07-20 16:28:06,041 semantic_segmentation INFO: Iters: 27740/50000 || Lr: 0.009655 || Task Loss: 0.0998 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1212|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:08:09 || Estimated Time: 21:46:30
2023-07-20 16:28:40,443 semantic_segmentation INFO: Iters: 27750/50000 || Lr: 0.009651 || Task Loss: 0.1372 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0784|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:08:44 || Estimated Time: 21:45:54
2023-07-20 16:29:14,879 semantic_segmentation INFO: Iters: 27760/50000 || Lr: 0.009647 || Task Loss: 0.1049 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:09:18 || Estimated Time: 21:45:18
2023-07-20 16:29:49,284 semantic_segmentation INFO: Iters: 27770/50000 || Lr: 0.009643 || Task Loss: 0.1147 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:09:52 || Estimated Time: 21:44:42
2023-07-20 16:30:23,502 semantic_segmentation INFO: Iters: 27780/50000 || Lr: 0.009639 || Task Loss: 0.1160 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:10:27 || Estimated Time: 21:44:06
2023-07-20 16:30:57,805 semantic_segmentation INFO: Iters: 27790/50000 || Lr: 0.009635 || Task Loss: 0.1123 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:11:01 || Estimated Time: 21:43:30
2023-07-20 16:31:32,218 semantic_segmentation INFO: Iters: 27800/50000 || Lr: 0.009631 || Task Loss: 0.1081 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:11:35 || Estimated Time: 21:42:54
2023-07-20 16:32:06,647 semantic_segmentation INFO: Iters: 27810/50000 || Lr: 0.009628 || Task Loss: 0.1158 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:12:10 || Estimated Time: 21:42:19
2023-07-20 16:32:41,068 semantic_segmentation INFO: Iters: 27820/50000 || Lr: 0.009624 || Task Loss: 0.1145 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:12:44 || Estimated Time: 21:41:43
2023-07-20 16:33:15,491 semantic_segmentation INFO: Iters: 27830/50000 || Lr: 0.009620 || Task Loss: 0.1164 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:13:19 || Estimated Time: 21:41:07
2023-07-20 16:33:49,890 semantic_segmentation INFO: Iters: 27840/50000 || Lr: 0.009616 || Task Loss: 0.1087 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:13:53 || Estimated Time: 21:40:31
2023-07-20 16:34:24,198 semantic_segmentation INFO: Iters: 27850/50000 || Lr: 0.009612 || Task Loss: 0.1249 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:14:27 || Estimated Time: 21:39:55
2023-07-20 16:34:58,609 semantic_segmentation INFO: Iters: 27860/50000 || Lr: 0.009608 || Task Loss: 0.1214 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:15:02 || Estimated Time: 21:39:19
2023-07-20 16:35:32,952 semantic_segmentation INFO: Iters: 27870/50000 || Lr: 0.009604 || Task Loss: 0.1210 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:15:36 || Estimated Time: 21:38:43
2023-07-20 16:36:07,319 semantic_segmentation INFO: Iters: 27880/50000 || Lr: 0.009600 || Task Loss: 0.1189 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0814|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:16:10 || Estimated Time: 21:38:07
2023-07-20 16:36:41,647 semantic_segmentation INFO: Iters: 27890/50000 || Lr: 0.009596 || Task Loss: 0.1314 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:16:45 || Estimated Time: 21:37:31
2023-07-20 16:37:16,120 semantic_segmentation INFO: Iters: 27900/50000 || Lr: 0.009592 || Task Loss: 0.1172 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0819|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:17:19 || Estimated Time: 21:36:56
2023-07-20 16:37:50,591 semantic_segmentation INFO: Iters: 27910/50000 || Lr: 0.009589 || Task Loss: 0.0901 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:17:54 || Estimated Time: 21:36:20
2023-07-20 16:38:24,878 semantic_segmentation INFO: Iters: 27920/50000 || Lr: 0.009585 || Task Loss: 0.1015 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:18:28 || Estimated Time: 21:35:44
2023-07-20 16:38:59,176 semantic_segmentation INFO: Iters: 27930/50000 || Lr: 0.009581 || Task Loss: 0.1031 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:19:02 || Estimated Time: 21:35:08
2023-07-20 16:39:33,676 semantic_segmentation INFO: Iters: 27940/50000 || Lr: 0.009577 || Task Loss: 0.1092 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:19:37 || Estimated Time: 21:34:32
2023-07-20 16:40:07,980 semantic_segmentation INFO: Iters: 27950/50000 || Lr: 0.009573 || Task Loss: 0.1126 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:20:11 || Estimated Time: 21:33:56
2023-07-20 16:40:42,374 semantic_segmentation INFO: Iters: 27960/50000 || Lr: 0.009569 || Task Loss: 0.1233 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:20:45 || Estimated Time: 21:33:20
2023-07-20 16:41:16,806 semantic_segmentation INFO: Iters: 27970/50000 || Lr: 0.009565 || Task Loss: 0.1341 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:21:20 || Estimated Time: 21:32:45
2023-07-20 16:41:51,170 semantic_segmentation INFO: Iters: 27980/50000 || Lr: 0.009561 || Task Loss: 0.0979 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:21:54 || Estimated Time: 21:32:09
2023-07-20 16:42:25,607 semantic_segmentation INFO: Iters: 27990/50000 || Lr: 0.009557 || Task Loss: 0.1108 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:22:29 || Estimated Time: 21:31:33
2023-07-20 16:43:00,161 semantic_segmentation INFO: Iters: 28000/50000 || Lr: 0.009553 || Task Loss: 0.1173 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:23:03 || Estimated Time: 21:30:57
2023-07-20 16:43:00,229 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 16:43:00,589 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.706
2023-07-20 16:43:00,623 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.714
2023-07-20 16:43:00,636 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.712
2023-07-20 16:43:00,649 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-20 16:43:00,662 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.700
2023-07-20 16:43:00,675 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.698
2023-07-20 16:43:00,687 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.698
2023-07-20 16:43:00,700 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.698
2023-07-20 16:43:00,713 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.697
2023-07-20 16:43:00,726 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.699
2023-07-20 16:43:00,738 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 16:43:00,751 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 16:43:00,764 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.700
2023-07-20 16:43:00,777 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-20 16:43:00,790 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-20 16:43:00,802 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.701
2023-07-20 16:43:00,815 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 16:43:00,828 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 16:43:00,841 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-20 16:43:00,854 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-20 16:43:00,867 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-20 16:43:00,880 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 16:43:00,893 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-20 16:43:00,906 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-20 16:43:00,919 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 16:43:00,932 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 16:43:00,945 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 16:43:00,958 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 16:43:00,971 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-20 16:43:00,984 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-20 16:43:00,997 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-20 16:43:01,010 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-20 16:43:01,023 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-20 16:43:01,036 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.955, mIoU: 0.693
2023-07-20 16:43:01,050 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.955, mIoU: 0.695
2023-07-20 16:43:01,064 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.695
2023-07-20 16:43:01,078 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.695
2023-07-20 16:43:01,092 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.696
2023-07-20 16:43:01,106 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.953, mIoU: 0.696
2023-07-20 16:43:01,120 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.953, mIoU: 0.697
2023-07-20 16:43:01,134 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.953, mIoU: 0.699
2023-07-20 16:43:01,147 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.700
2023-07-20 16:43:01,161 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.702
2023-07-20 16:43:01,175 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.703
2023-07-20 16:43:01,189 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.953, mIoU: 0.703
2023-07-20 16:43:01,203 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.953, mIoU: 0.705
2023-07-20 16:43:01,217 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.953, mIoU: 0.706
2023-07-20 16:43:01,231 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.953, mIoU: 0.708
2023-07-20 16:43:01,245 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.953, mIoU: 0.709
2023-07-20 16:43:01,259 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.952, mIoU: 0.708
2023-07-20 16:43:01,274 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.709
2023-07-20 16:43:01,288 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.951, mIoU: 0.708
2023-07-20 16:43:01,302 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.708
2023-07-20 16:43:01,317 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.950, mIoU: 0.709
2023-07-20 16:43:01,331 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.950, mIoU: 0.709
2023-07-20 16:43:01,345 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.949, mIoU: 0.709
2023-07-20 16:43:01,360 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.949, mIoU: 0.709
2023-07-20 16:43:01,374 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.949, mIoU: 0.709
2023-07-20 16:43:01,388 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.710
2023-07-20 16:43:01,402 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.948, mIoU: 0.711
2023-07-20 16:43:01,416 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.948, mIoU: 0.711
2023-07-20 16:43:01,431 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.712
2023-07-20 16:43:01,444 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.947, mIoU: 0.713
2023-07-20 16:43:01,458 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.713
2023-07-20 16:43:01,472 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.946, mIoU: 0.714
2023-07-20 16:43:01,486 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.714
2023-07-20 16:43:01,500 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.945, mIoU: 0.714
2023-07-20 16:43:01,514 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.715
2023-07-20 16:43:01,528 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.944, mIoU: 0.716
2023-07-20 16:43:01,541 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.717
2023-07-20 16:43:01,555 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.943, mIoU: 0.717
2023-07-20 16:43:01,569 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-20 16:43:01,582 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-20 16:43:01,596 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-20 16:43:01,609 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 16:43:01,623 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 16:43:01,637 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-20 16:43:01,651 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-20 16:43:01,665 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-20 16:43:01,680 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-20 16:43:01,694 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-20 16:43:01,708 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-20 16:43:01,723 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 16:43:01,737 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 16:43:01,751 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-20 16:43:01,765 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 16:43:01,780 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 16:43:01,794 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-20 16:43:01,808 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 16:43:01,822 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 16:43:01,836 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 16:43:01,850 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 16:43:01,863 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 16:43:01,877 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 16:43:01,890 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 16:43:01,904 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 16:43:01,917 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-20 16:43:01,931 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-20 16:43:01,944 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 16:43:01,958 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 16:43:01,971 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.698
2023-07-20 16:43:36,537 semantic_segmentation INFO: Iters: 28010/50000 || Lr: 0.009549 || Task Loss: 0.1059 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:23:40 || Estimated Time: 21:30:23
2023-07-20 16:44:10,903 semantic_segmentation INFO: Iters: 28020/50000 || Lr: 0.009546 || Task Loss: 0.1121 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:24:14 || Estimated Time: 21:29:47
2023-07-20 16:44:45,494 semantic_segmentation INFO: Iters: 28030/50000 || Lr: 0.009542 || Task Loss: 0.1081 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:24:49 || Estimated Time: 21:29:11
2023-07-20 16:45:19,884 semantic_segmentation INFO: Iters: 28040/50000 || Lr: 0.009538 || Task Loss: 0.1202 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:25:23 || Estimated Time: 21:28:36
2023-07-20 16:45:54,715 semantic_segmentation INFO: Iters: 28050/50000 || Lr: 0.009534 || Task Loss: 0.1031 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:25:58 || Estimated Time: 21:28:00
2023-07-20 16:46:29,125 semantic_segmentation INFO: Iters: 28060/50000 || Lr: 0.009530 || Task Loss: 0.1211 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:26:32 || Estimated Time: 21:27:24
2023-07-20 16:47:04,152 semantic_segmentation INFO: Iters: 28070/50000 || Lr: 0.009526 || Task Loss: 0.1323 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0774|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:27:07 || Estimated Time: 21:26:49
2023-07-20 16:47:38,799 semantic_segmentation INFO: Iters: 28080/50000 || Lr: 0.009522 || Task Loss: 0.1146 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:27:42 || Estimated Time: 21:26:13
2023-07-20 16:48:13,579 semantic_segmentation INFO: Iters: 28090/50000 || Lr: 0.009518 || Task Loss: 0.1053 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:28:17 || Estimated Time: 21:25:38
2023-07-20 16:48:48,293 semantic_segmentation INFO: Iters: 28100/50000 || Lr: 0.009514 || Task Loss: 0.1058 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:28:51 || Estimated Time: 21:25:02
2023-07-20 16:49:22,977 semantic_segmentation INFO: Iters: 28110/50000 || Lr: 0.009510 || Task Loss: 0.1020 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:29:26 || Estimated Time: 21:24:26
2023-07-20 16:49:57,939 semantic_segmentation INFO: Iters: 28120/50000 || Lr: 0.009506 || Task Loss: 0.1419 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0767|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:30:01 || Estimated Time: 21:23:51
2023-07-20 16:50:32,802 semantic_segmentation INFO: Iters: 28130/50000 || Lr: 0.009503 || Task Loss: 0.1085 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:30:36 || Estimated Time: 21:23:16
2023-07-20 16:51:07,707 semantic_segmentation INFO: Iters: 28140/50000 || Lr: 0.009499 || Task Loss: 0.1150 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:31:11 || Estimated Time: 21:22:40
2023-07-20 16:51:42,624 semantic_segmentation INFO: Iters: 28150/50000 || Lr: 0.009495 || Task Loss: 0.1093 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:31:46 || Estimated Time: 21:22:05
2023-07-20 16:52:17,545 semantic_segmentation INFO: Iters: 28160/50000 || Lr: 0.009491 || Task Loss: 0.0968 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1215|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:32:21 || Estimated Time: 21:21:29
2023-07-20 16:52:52,301 semantic_segmentation INFO: Iters: 28170/50000 || Lr: 0.009487 || Task Loss: 0.1182 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:32:55 || Estimated Time: 21:20:54
2023-07-20 16:53:27,141 semantic_segmentation INFO: Iters: 28180/50000 || Lr: 0.009483 || Task Loss: 0.0941 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:33:30 || Estimated Time: 21:20:18
2023-07-20 16:54:02,042 semantic_segmentation INFO: Iters: 28190/50000 || Lr: 0.009479 || Task Loss: 0.1137 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0862|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:34:05 || Estimated Time: 21:19:43
2023-07-20 16:54:36,935 semantic_segmentation INFO: Iters: 28200/50000 || Lr: 0.009475 || Task Loss: 0.1125 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1157|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:34:40 || Estimated Time: 21:19:07
2023-07-20 16:55:11,952 semantic_segmentation INFO: Iters: 28210/50000 || Lr: 0.009471 || Task Loss: 0.1251 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:35:15 || Estimated Time: 21:18:32
2023-07-20 16:55:46,819 semantic_segmentation INFO: Iters: 28220/50000 || Lr: 0.009467 || Task Loss: 0.1023 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:35:50 || Estimated Time: 21:17:57
2023-07-20 16:56:21,617 semantic_segmentation INFO: Iters: 28230/50000 || Lr: 0.009463 || Task Loss: 0.1032 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:36:25 || Estimated Time: 21:17:21
2023-07-20 16:56:56,424 semantic_segmentation INFO: Iters: 28240/50000 || Lr: 0.009459 || Task Loss: 0.1094 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:37:00 || Estimated Time: 21:16:46
2023-07-20 16:57:31,440 semantic_segmentation INFO: Iters: 28250/50000 || Lr: 0.009456 || Task Loss: 0.1332 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:37:35 || Estimated Time: 21:16:10
2023-07-20 16:58:06,112 semantic_segmentation INFO: Iters: 28260/50000 || Lr: 0.009452 || Task Loss: 0.1085 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:38:09 || Estimated Time: 21:15:35
2023-07-20 16:58:40,851 semantic_segmentation INFO: Iters: 28270/50000 || Lr: 0.009448 || Task Loss: 0.1251 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:38:44 || Estimated Time: 21:14:59
2023-07-20 16:59:15,721 semantic_segmentation INFO: Iters: 28280/50000 || Lr: 0.009444 || Task Loss: 0.1012 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:39:19 || Estimated Time: 21:14:24
2023-07-20 16:59:50,710 semantic_segmentation INFO: Iters: 28290/50000 || Lr: 0.009440 || Task Loss: 0.1129 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:39:54 || Estimated Time: 21:13:48
2023-07-20 17:00:25,301 semantic_segmentation INFO: Iters: 28300/50000 || Lr: 0.009436 || Task Loss: 0.0961 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:40:28 || Estimated Time: 21:13:12
2023-07-20 17:01:00,119 semantic_segmentation INFO: Iters: 28310/50000 || Lr: 0.009432 || Task Loss: 0.1251 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:41:03 || Estimated Time: 21:12:37
2023-07-20 17:01:34,691 semantic_segmentation INFO: Iters: 28320/50000 || Lr: 0.009428 || Task Loss: 0.1054 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0837|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:41:38 || Estimated Time: 21:12:01
2023-07-20 17:02:09,548 semantic_segmentation INFO: Iters: 28330/50000 || Lr: 0.009424 || Task Loss: 0.1021 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:42:13 || Estimated Time: 21:11:26
2023-07-20 17:02:44,419 semantic_segmentation INFO: Iters: 28340/50000 || Lr: 0.009420 || Task Loss: 0.1045 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:42:48 || Estimated Time: 21:10:50
2023-07-20 17:03:19,364 semantic_segmentation INFO: Iters: 28350/50000 || Lr: 0.009416 || Task Loss: 0.1330 || KD Loss: 0.0429|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:43:22 || Estimated Time: 21:10:15
2023-07-20 17:03:54,049 semantic_segmentation INFO: Iters: 28360/50000 || Lr: 0.009413 || Task Loss: 0.1019 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:43:57 || Estimated Time: 21:09:39
2023-07-20 17:04:29,116 semantic_segmentation INFO: Iters: 28370/50000 || Lr: 0.009409 || Task Loss: 0.1343 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:44:32 || Estimated Time: 21:09:04
2023-07-20 17:05:04,013 semantic_segmentation INFO: Iters: 28380/50000 || Lr: 0.009405 || Task Loss: 0.1094 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1083|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:45:07 || Estimated Time: 21:08:29
2023-07-20 17:05:38,756 semantic_segmentation INFO: Iters: 28390/50000 || Lr: 0.009401 || Task Loss: 0.1158 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:45:42 || Estimated Time: 21:07:53
2023-07-20 17:06:13,639 semantic_segmentation INFO: Iters: 28400/50000 || Lr: 0.009397 || Task Loss: 0.1241 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:46:17 || Estimated Time: 21:07:18
2023-07-20 17:06:48,306 semantic_segmentation INFO: Iters: 28410/50000 || Lr: 0.009393 || Task Loss: 0.1193 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:46:51 || Estimated Time: 21:06:42
2023-07-20 17:07:23,288 semantic_segmentation INFO: Iters: 28420/50000 || Lr: 0.009389 || Task Loss: 0.1383 || KD Loss: 0.0404|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:47:26 || Estimated Time: 21:06:07
2023-07-20 17:07:58,130 semantic_segmentation INFO: Iters: 28430/50000 || Lr: 0.009385 || Task Loss: 0.1159 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:48:01 || Estimated Time: 21:05:31
2023-07-20 17:08:33,248 semantic_segmentation INFO: Iters: 28440/50000 || Lr: 0.009381 || Task Loss: 0.1247 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:48:36 || Estimated Time: 21:04:56
2023-07-20 17:09:09,004 semantic_segmentation INFO: Iters: 28450/50000 || Lr: 0.009377 || Task Loss: 0.1290 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:49:12 || Estimated Time: 21:04:21
2023-07-20 17:09:43,788 semantic_segmentation INFO: Iters: 28460/50000 || Lr: 0.009373 || Task Loss: 0.1133 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1084|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:49:47 || Estimated Time: 21:03:46
2023-07-20 17:10:18,818 semantic_segmentation INFO: Iters: 28470/50000 || Lr: 0.009369 || Task Loss: 0.1248 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:50:22 || Estimated Time: 21:03:10
2023-07-20 17:10:54,254 semantic_segmentation INFO: Iters: 28480/50000 || Lr: 0.009366 || Task Loss: 0.1319 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:50:57 || Estimated Time: 21:02:35
2023-07-20 17:11:29,582 semantic_segmentation INFO: Iters: 28490/50000 || Lr: 0.009362 || Task Loss: 0.1095 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:51:33 || Estimated Time: 21:02:00
2023-07-20 17:12:05,064 semantic_segmentation INFO: Iters: 28500/50000 || Lr: 0.009358 || Task Loss: 0.1266 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:52:08 || Estimated Time: 21:01:25
2023-07-20 17:12:40,565 semantic_segmentation INFO: Iters: 28510/50000 || Lr: 0.009354 || Task Loss: 0.1115 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1097|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:52:44 || Estimated Time: 21:00:50
2023-07-20 17:13:15,980 semantic_segmentation INFO: Iters: 28520/50000 || Lr: 0.009350 || Task Loss: 0.1178 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1158|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:53:19 || Estimated Time: 21:00:15
2023-07-20 17:13:50,935 semantic_segmentation INFO: Iters: 28530/50000 || Lr: 0.009346 || Task Loss: 0.1085 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:53:54 || Estimated Time: 20:59:40
2023-07-20 17:14:25,355 semantic_segmentation INFO: Iters: 28540/50000 || Lr: 0.009342 || Task Loss: 0.1024 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:54:28 || Estimated Time: 20:59:04
2023-07-20 17:14:59,897 semantic_segmentation INFO: Iters: 28550/50000 || Lr: 0.009338 || Task Loss: 0.1058 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:55:03 || Estimated Time: 20:58:28
2023-07-20 17:15:34,397 semantic_segmentation INFO: Iters: 28560/50000 || Lr: 0.009334 || Task Loss: 0.1066 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0818|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:55:37 || Estimated Time: 20:57:53
2023-07-20 17:16:08,827 semantic_segmentation INFO: Iters: 28570/50000 || Lr: 0.009330 || Task Loss: 0.1155 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:56:12 || Estimated Time: 20:57:17
2023-07-20 17:16:43,654 semantic_segmentation INFO: Iters: 28580/50000 || Lr: 0.009326 || Task Loss: 0.1222 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:56:47 || Estimated Time: 20:56:41
2023-07-20 17:17:18,031 semantic_segmentation INFO: Iters: 28590/50000 || Lr: 0.009322 || Task Loss: 0.1087 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:57:21 || Estimated Time: 20:56:05
2023-07-20 17:17:52,370 semantic_segmentation INFO: Iters: 28600/50000 || Lr: 0.009319 || Task Loss: 0.1006 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:57:55 || Estimated Time: 20:55:30
2023-07-20 17:18:26,657 semantic_segmentation INFO: Iters: 28610/50000 || Lr: 0.009315 || Task Loss: 0.1142 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:58:30 || Estimated Time: 20:54:54
2023-07-20 17:19:01,046 semantic_segmentation INFO: Iters: 28620/50000 || Lr: 0.009311 || Task Loss: 0.1133 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:59:04 || Estimated Time: 20:54:18
2023-07-20 17:19:35,325 semantic_segmentation INFO: Iters: 28630/50000 || Lr: 0.009307 || Task Loss: 0.1048 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:59:38 || Estimated Time: 20:53:42
2023-07-20 17:20:09,644 semantic_segmentation INFO: Iters: 28640/50000 || Lr: 0.009303 || Task Loss: 0.1169 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:00:13 || Estimated Time: 20:53:06
2023-07-20 17:20:43,886 semantic_segmentation INFO: Iters: 28650/50000 || Lr: 0.009299 || Task Loss: 0.1098 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:00:47 || Estimated Time: 20:52:30
2023-07-20 17:21:18,121 semantic_segmentation INFO: Iters: 28660/50000 || Lr: 0.009295 || Task Loss: 0.0926 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1104|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:01:21 || Estimated Time: 20:51:54
2023-07-20 17:21:52,326 semantic_segmentation INFO: Iters: 28670/50000 || Lr: 0.009291 || Task Loss: 0.1016 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:01:55 || Estimated Time: 20:51:18
2023-07-20 17:22:26,474 semantic_segmentation INFO: Iters: 28680/50000 || Lr: 0.009287 || Task Loss: 0.1247 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:02:30 || Estimated Time: 20:50:42
2023-07-20 17:23:00,673 semantic_segmentation INFO: Iters: 28690/50000 || Lr: 0.009283 || Task Loss: 0.1133 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:03:04 || Estimated Time: 20:50:06
2023-07-20 17:23:34,902 semantic_segmentation INFO: Iters: 28700/50000 || Lr: 0.009279 || Task Loss: 0.1146 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:03:38 || Estimated Time: 20:49:31
2023-07-20 17:24:09,093 semantic_segmentation INFO: Iters: 28710/50000 || Lr: 0.009275 || Task Loss: 0.1147 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:04:12 || Estimated Time: 20:48:55
2023-07-20 17:24:43,321 semantic_segmentation INFO: Iters: 28720/50000 || Lr: 0.009271 || Task Loss: 0.1165 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:04:46 || Estimated Time: 20:48:19
2023-07-20 17:25:17,517 semantic_segmentation INFO: Iters: 28730/50000 || Lr: 0.009268 || Task Loss: 0.1102 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:05:21 || Estimated Time: 20:47:43
2023-07-20 17:25:51,686 semantic_segmentation INFO: Iters: 28740/50000 || Lr: 0.009264 || Task Loss: 0.1299 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:05:55 || Estimated Time: 20:47:07
2023-07-20 17:26:25,810 semantic_segmentation INFO: Iters: 28750/50000 || Lr: 0.009260 || Task Loss: 0.1012 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:06:29 || Estimated Time: 20:46:31
2023-07-20 17:26:59,909 semantic_segmentation INFO: Iters: 28760/50000 || Lr: 0.009256 || Task Loss: 0.1122 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:07:03 || Estimated Time: 20:45:55
2023-07-20 17:27:33,905 semantic_segmentation INFO: Iters: 28770/50000 || Lr: 0.009252 || Task Loss: 0.1024 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0822|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:07:37 || Estimated Time: 20:45:19
2023-07-20 17:28:08,163 semantic_segmentation INFO: Iters: 28780/50000 || Lr: 0.009248 || Task Loss: 0.1234 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:08:11 || Estimated Time: 20:44:43
2023-07-20 17:28:42,328 semantic_segmentation INFO: Iters: 28790/50000 || Lr: 0.009244 || Task Loss: 0.1188 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0817|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:08:45 || Estimated Time: 20:44:07
2023-07-20 17:29:16,678 semantic_segmentation INFO: Iters: 28800/50000 || Lr: 0.009240 || Task Loss: 0.1241 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:09:20 || Estimated Time: 20:43:31
2023-07-20 17:29:16,748 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 17:29:17,115 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 17:29:17,145 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.713
2023-07-20 17:29:17,158 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.712
2023-07-20 17:29:17,171 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.708
2023-07-20 17:29:17,184 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-20 17:29:17,197 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 17:29:17,210 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 17:29:17,222 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 17:29:17,235 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 17:29:17,249 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 17:29:17,261 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-20 17:29:17,274 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-20 17:29:17,287 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 17:29:17,301 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 17:29:17,314 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 17:29:17,328 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 17:29:17,341 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-20 17:29:17,355 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.695
2023-07-20 17:29:17,368 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 17:29:17,382 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-20 17:29:17,395 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-20 17:29:17,409 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-20 17:29:17,422 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 17:29:17,435 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 17:29:17,449 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 17:29:17,462 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 17:29:17,476 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 17:29:17,489 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 17:29:17,504 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 17:29:17,518 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 17:29:17,532 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 17:29:17,547 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 17:29:17,561 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 17:29:17,576 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-20 17:29:17,590 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-20 17:29:17,604 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-20 17:29:17,619 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-20 17:29:17,633 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-20 17:29:17,647 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 17:29:17,662 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.691
2023-07-20 17:29:17,676 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 17:29:17,690 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.693
2023-07-20 17:29:17,704 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-20 17:29:17,718 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-20 17:29:17,732 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.697
2023-07-20 17:29:17,745 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.699
2023-07-20 17:29:17,759 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.700
2023-07-20 17:29:17,773 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.702
2023-07-20 17:29:17,786 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 17:29:17,800 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 17:29:17,814 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 17:29:17,827 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 17:29:17,841 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-20 17:29:17,854 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-20 17:29:17,868 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 17:29:17,881 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-20 17:29:17,894 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-20 17:29:17,909 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-20 17:29:17,923 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-20 17:29:17,937 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-20 17:29:17,952 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-20 17:29:17,966 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 17:29:17,981 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-20 17:29:17,995 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-20 17:29:18,009 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-20 17:29:18,024 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-20 17:29:18,038 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-20 17:29:18,052 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-20 17:29:18,066 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-20 17:29:18,081 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-20 17:29:18,095 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-20 17:29:18,109 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-20 17:29:18,122 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-20 17:29:18,136 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-20 17:29:18,150 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-20 17:29:18,163 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-20 17:29:18,177 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-20 17:29:18,191 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 17:29:18,205 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-20 17:29:18,218 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-20 17:29:18,231 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 17:29:18,245 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 17:29:18,258 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-20 17:29:18,272 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 17:29:18,285 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 17:29:18,299 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-20 17:29:18,312 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-20 17:29:18,325 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 17:29:18,339 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 17:29:18,353 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 17:29:18,366 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 17:29:18,380 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 17:29:18,394 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 17:29:18,407 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 17:29:18,421 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 17:29:18,435 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 17:29:18,448 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 17:29:18,462 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 17:29:18,476 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-20 17:29:18,489 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 17:29:18,503 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.698
2023-07-20 17:29:53,052 semantic_segmentation INFO: Iters: 28810/50000 || Lr: 0.009236 || Task Loss: 0.1156 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:09:56 || Estimated Time: 20:42:57
2023-07-20 17:30:27,557 semantic_segmentation INFO: Iters: 28820/50000 || Lr: 0.009232 || Task Loss: 0.1084 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:10:31 || Estimated Time: 20:42:21
2023-07-20 17:31:02,129 semantic_segmentation INFO: Iters: 28830/50000 || Lr: 0.009228 || Task Loss: 0.1237 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:11:05 || Estimated Time: 20:41:45
2023-07-20 17:31:36,739 semantic_segmentation INFO: Iters: 28840/50000 || Lr: 0.009224 || Task Loss: 0.1024 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:11:40 || Estimated Time: 20:41:10
2023-07-20 17:32:11,823 semantic_segmentation INFO: Iters: 28850/50000 || Lr: 0.009221 || Task Loss: 0.1055 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:12:15 || Estimated Time: 20:40:34
2023-07-20 17:32:46,609 semantic_segmentation INFO: Iters: 28860/50000 || Lr: 0.009217 || Task Loss: 0.0994 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:12:50 || Estimated Time: 20:39:59
2023-07-20 17:33:21,608 semantic_segmentation INFO: Iters: 28870/50000 || Lr: 0.009213 || Task Loss: 0.1251 || KD Loss: 0.0390|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:13:25 || Estimated Time: 20:39:24
2023-07-20 17:33:56,639 semantic_segmentation INFO: Iters: 28880/50000 || Lr: 0.009209 || Task Loss: 0.1104 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:14:00 || Estimated Time: 20:38:48
2023-07-20 17:34:31,694 semantic_segmentation INFO: Iters: 28890/50000 || Lr: 0.009205 || Task Loss: 0.1219 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:14:35 || Estimated Time: 20:38:13
2023-07-20 17:35:06,792 semantic_segmentation INFO: Iters: 28900/50000 || Lr: 0.009201 || Task Loss: 0.1047 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1073|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:15:10 || Estimated Time: 20:37:38
2023-07-20 17:35:41,932 semantic_segmentation INFO: Iters: 28910/50000 || Lr: 0.009197 || Task Loss: 0.1078 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:15:45 || Estimated Time: 20:37:03
2023-07-20 17:36:17,452 semantic_segmentation INFO: Iters: 28920/50000 || Lr: 0.009193 || Task Loss: 0.1184 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:16:21 || Estimated Time: 20:36:28
2023-07-20 17:36:52,968 semantic_segmentation INFO: Iters: 28930/50000 || Lr: 0.009189 || Task Loss: 0.1077 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:16:56 || Estimated Time: 20:35:53
2023-07-20 17:37:28,546 semantic_segmentation INFO: Iters: 28940/50000 || Lr: 0.009185 || Task Loss: 0.1256 || KD Loss: 0.0372|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:17:32 || Estimated Time: 20:35:18
2023-07-20 17:38:03,712 semantic_segmentation INFO: Iters: 28950/50000 || Lr: 0.009181 || Task Loss: 0.0916 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:18:07 || Estimated Time: 20:34:42
2023-07-20 17:38:39,601 semantic_segmentation INFO: Iters: 28960/50000 || Lr: 0.009177 || Task Loss: 0.1093 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:18:43 || Estimated Time: 20:34:08
2023-07-20 17:39:15,253 semantic_segmentation INFO: Iters: 28970/50000 || Lr: 0.009173 || Task Loss: 0.1051 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:19:18 || Estimated Time: 20:33:33
2023-07-20 17:39:50,726 semantic_segmentation INFO: Iters: 28980/50000 || Lr: 0.009169 || Task Loss: 0.1070 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:19:54 || Estimated Time: 20:32:58
2023-07-20 17:40:26,175 semantic_segmentation INFO: Iters: 28990/50000 || Lr: 0.009166 || Task Loss: 0.1202 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0905|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:20:29 || Estimated Time: 20:32:23
2023-07-20 17:41:01,755 semantic_segmentation INFO: Iters: 29000/50000 || Lr: 0.009162 || Task Loss: 0.1053 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:21:05 || Estimated Time: 20:31:48
2023-07-20 17:41:37,392 semantic_segmentation INFO: Iters: 29010/50000 || Lr: 0.009158 || Task Loss: 0.1352 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:21:40 || Estimated Time: 20:31:13
2023-07-20 17:42:12,742 semantic_segmentation INFO: Iters: 29020/50000 || Lr: 0.009154 || Task Loss: 0.1151 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1096|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:22:16 || Estimated Time: 20:30:38
2023-07-20 17:42:48,657 semantic_segmentation INFO: Iters: 29030/50000 || Lr: 0.009150 || Task Loss: 0.1252 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:22:52 || Estimated Time: 20:30:03
2023-07-20 17:43:23,858 semantic_segmentation INFO: Iters: 29040/50000 || Lr: 0.009146 || Task Loss: 0.1268 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:23:27 || Estimated Time: 20:29:28
2023-07-20 17:43:59,398 semantic_segmentation INFO: Iters: 29050/50000 || Lr: 0.009142 || Task Loss: 0.1168 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:24:03 || Estimated Time: 20:28:53
2023-07-20 17:44:35,658 semantic_segmentation INFO: Iters: 29060/50000 || Lr: 0.009138 || Task Loss: 0.1147 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:24:39 || Estimated Time: 20:28:19
2023-07-20 17:45:11,269 semantic_segmentation INFO: Iters: 29070/50000 || Lr: 0.009134 || Task Loss: 0.1123 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:25:14 || Estimated Time: 20:27:44
2023-07-20 17:45:46,906 semantic_segmentation INFO: Iters: 29080/50000 || Lr: 0.009130 || Task Loss: 0.1135 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0801|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:25:50 || Estimated Time: 20:27:09
2023-07-20 17:46:22,799 semantic_segmentation INFO: Iters: 29090/50000 || Lr: 0.009126 || Task Loss: 0.1112 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:26:26 || Estimated Time: 20:26:34
2023-07-20 17:46:58,575 semantic_segmentation INFO: Iters: 29100/50000 || Lr: 0.009122 || Task Loss: 0.1150 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:27:02 || Estimated Time: 20:26:00
2023-07-20 17:47:34,685 semantic_segmentation INFO: Iters: 29110/50000 || Lr: 0.009118 || Task Loss: 0.0965 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:27:38 || Estimated Time: 20:25:25
2023-07-20 17:48:10,454 semantic_segmentation INFO: Iters: 29120/50000 || Lr: 0.009115 || Task Loss: 0.1058 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:28:14 || Estimated Time: 20:24:50
2023-07-20 17:48:46,426 semantic_segmentation INFO: Iters: 29130/50000 || Lr: 0.009111 || Task Loss: 0.1141 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:28:50 || Estimated Time: 20:24:16
2023-07-20 17:49:22,205 semantic_segmentation INFO: Iters: 29140/50000 || Lr: 0.009107 || Task Loss: 0.1022 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:29:25 || Estimated Time: 20:23:41
2023-07-20 17:49:58,227 semantic_segmentation INFO: Iters: 29150/50000 || Lr: 0.009103 || Task Loss: 0.1134 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:30:01 || Estimated Time: 20:23:06
2023-07-20 17:50:33,687 semantic_segmentation INFO: Iters: 29160/50000 || Lr: 0.009099 || Task Loss: 0.1016 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:30:37 || Estimated Time: 20:22:31
2023-07-20 17:51:09,634 semantic_segmentation INFO: Iters: 29170/50000 || Lr: 0.009095 || Task Loss: 0.1070 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:31:13 || Estimated Time: 20:21:57
2023-07-20 17:51:45,642 semantic_segmentation INFO: Iters: 29180/50000 || Lr: 0.009091 || Task Loss: 0.1078 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:31:49 || Estimated Time: 20:21:22
2023-07-20 17:52:21,130 semantic_segmentation INFO: Iters: 29190/50000 || Lr: 0.009087 || Task Loss: 0.1166 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1061|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:32:24 || Estimated Time: 20:20:47
2023-07-20 17:52:57,299 semantic_segmentation INFO: Iters: 29200/50000 || Lr: 0.009083 || Task Loss: 0.0916 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:33:00 || Estimated Time: 20:20:12
2023-07-20 17:53:33,295 semantic_segmentation INFO: Iters: 29210/50000 || Lr: 0.009079 || Task Loss: 0.0991 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1171|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:33:36 || Estimated Time: 20:19:38
2023-07-20 17:54:09,155 semantic_segmentation INFO: Iters: 29220/50000 || Lr: 0.009075 || Task Loss: 0.1151 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:34:12 || Estimated Time: 20:19:03
2023-07-20 17:54:45,283 semantic_segmentation INFO: Iters: 29230/50000 || Lr: 0.009071 || Task Loss: 0.1164 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0800|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:34:48 || Estimated Time: 20:18:28
2023-07-20 17:55:21,594 semantic_segmentation INFO: Iters: 29240/50000 || Lr: 0.009067 || Task Loss: 0.1269 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1153|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:35:25 || Estimated Time: 20:17:54
2023-07-20 17:55:57,819 semantic_segmentation INFO: Iters: 29250/50000 || Lr: 0.009063 || Task Loss: 0.1181 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0824|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:36:01 || Estimated Time: 20:17:20
2023-07-20 17:56:33,881 semantic_segmentation INFO: Iters: 29260/50000 || Lr: 0.009059 || Task Loss: 0.1038 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:36:37 || Estimated Time: 20:16:45
2023-07-20 17:57:09,686 semantic_segmentation INFO: Iters: 29270/50000 || Lr: 0.009056 || Task Loss: 0.1213 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:37:13 || Estimated Time: 20:16:10
2023-07-20 17:57:45,913 semantic_segmentation INFO: Iters: 29280/50000 || Lr: 0.009052 || Task Loss: 0.0992 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:37:49 || Estimated Time: 20:15:36
2023-07-20 17:58:21,761 semantic_segmentation INFO: Iters: 29290/50000 || Lr: 0.009048 || Task Loss: 0.1047 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:38:25 || Estimated Time: 20:15:01
2023-07-20 17:58:58,120 semantic_segmentation INFO: Iters: 29300/50000 || Lr: 0.009044 || Task Loss: 0.1130 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:39:01 || Estimated Time: 20:14:27
2023-07-20 17:59:33,909 semantic_segmentation INFO: Iters: 29310/50000 || Lr: 0.009040 || Task Loss: 0.1234 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:39:37 || Estimated Time: 20:13:52
2023-07-20 18:00:10,050 semantic_segmentation INFO: Iters: 29320/50000 || Lr: 0.009036 || Task Loss: 0.1192 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:40:13 || Estimated Time: 20:13:17
2023-07-20 18:00:46,245 semantic_segmentation INFO: Iters: 29330/50000 || Lr: 0.009032 || Task Loss: 0.1230 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:40:49 || Estimated Time: 20:12:43
2023-07-20 18:01:22,153 semantic_segmentation INFO: Iters: 29340/50000 || Lr: 0.009028 || Task Loss: 0.1054 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:41:25 || Estimated Time: 20:12:08
2023-07-20 18:01:58,263 semantic_segmentation INFO: Iters: 29350/50000 || Lr: 0.009024 || Task Loss: 0.1156 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:42:01 || Estimated Time: 20:11:34
2023-07-20 18:02:35,015 semantic_segmentation INFO: Iters: 29360/50000 || Lr: 0.009020 || Task Loss: 0.0988 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:42:38 || Estimated Time: 20:10:59
2023-07-20 18:03:10,923 semantic_segmentation INFO: Iters: 29370/50000 || Lr: 0.009016 || Task Loss: 0.1222 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:43:14 || Estimated Time: 20:10:25
2023-07-20 18:03:46,989 semantic_segmentation INFO: Iters: 29380/50000 || Lr: 0.009012 || Task Loss: 0.1065 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:43:50 || Estimated Time: 20:09:50
2023-07-20 18:04:23,247 semantic_segmentation INFO: Iters: 29390/50000 || Lr: 0.009008 || Task Loss: 0.1109 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:44:26 || Estimated Time: 20:09:16
2023-07-20 18:04:59,247 semantic_segmentation INFO: Iters: 29400/50000 || Lr: 0.009004 || Task Loss: 0.1126 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:45:02 || Estimated Time: 20:08:41
2023-07-20 18:05:35,393 semantic_segmentation INFO: Iters: 29410/50000 || Lr: 0.009001 || Task Loss: 0.1033 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:45:38 || Estimated Time: 20:08:06
2023-07-20 18:06:11,722 semantic_segmentation INFO: Iters: 29420/50000 || Lr: 0.008997 || Task Loss: 0.1087 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:46:15 || Estimated Time: 20:07:32
2023-07-20 18:06:47,494 semantic_segmentation INFO: Iters: 29430/50000 || Lr: 0.008993 || Task Loss: 0.1217 || KD Loss: 0.0398|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:46:51 || Estimated Time: 20:06:57
2023-07-20 18:07:23,833 semantic_segmentation INFO: Iters: 29440/50000 || Lr: 0.008989 || Task Loss: 0.1003 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:47:27 || Estimated Time: 20:06:23
2023-07-20 18:07:59,813 semantic_segmentation INFO: Iters: 29450/50000 || Lr: 0.008985 || Task Loss: 0.1106 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:48:03 || Estimated Time: 20:05:48
2023-07-20 18:08:36,087 semantic_segmentation INFO: Iters: 29460/50000 || Lr: 0.008981 || Task Loss: 0.1187 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:48:39 || Estimated Time: 20:05:14
2023-07-20 18:09:11,960 semantic_segmentation INFO: Iters: 29470/50000 || Lr: 0.008977 || Task Loss: 0.1154 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:49:15 || Estimated Time: 20:04:39
2023-07-20 18:09:48,924 semantic_segmentation INFO: Iters: 29480/50000 || Lr: 0.008973 || Task Loss: 0.0964 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1110|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:49:52 || Estimated Time: 20:04:05
2023-07-20 18:10:25,074 semantic_segmentation INFO: Iters: 29490/50000 || Lr: 0.008969 || Task Loss: 0.1192 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0827|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:50:28 || Estimated Time: 20:03:30
2023-07-20 18:11:01,440 semantic_segmentation INFO: Iters: 29500/50000 || Lr: 0.008965 || Task Loss: 0.1299 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:51:05 || Estimated Time: 20:02:56
2023-07-20 18:11:37,672 semantic_segmentation INFO: Iters: 29510/50000 || Lr: 0.008961 || Task Loss: 0.1118 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:51:41 || Estimated Time: 20:02:22
2023-07-20 18:12:13,757 semantic_segmentation INFO: Iters: 29520/50000 || Lr: 0.008957 || Task Loss: 0.1198 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:52:17 || Estimated Time: 20:01:47
2023-07-20 18:12:49,615 semantic_segmentation INFO: Iters: 29530/50000 || Lr: 0.008953 || Task Loss: 0.1102 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:52:53 || Estimated Time: 20:01:12
2023-07-20 18:13:26,207 semantic_segmentation INFO: Iters: 29540/50000 || Lr: 0.008949 || Task Loss: 0.1176 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:53:29 || Estimated Time: 20:00:38
2023-07-20 18:14:02,204 semantic_segmentation INFO: Iters: 29550/50000 || Lr: 0.008945 || Task Loss: 0.1096 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:54:05 || Estimated Time: 20:00:03
2023-07-20 18:14:38,585 semantic_segmentation INFO: Iters: 29560/50000 || Lr: 0.008941 || Task Loss: 0.1153 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:54:42 || Estimated Time: 19:59:29
2023-07-20 18:15:14,951 semantic_segmentation INFO: Iters: 29570/50000 || Lr: 0.008938 || Task Loss: 0.1254 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:55:18 || Estimated Time: 19:58:54
2023-07-20 18:15:50,911 semantic_segmentation INFO: Iters: 29580/50000 || Lr: 0.008934 || Task Loss: 0.1118 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:55:54 || Estimated Time: 19:58:20
2023-07-20 18:16:27,253 semantic_segmentation INFO: Iters: 29590/50000 || Lr: 0.008930 || Task Loss: 0.1162 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:56:30 || Estimated Time: 19:57:45
2023-07-20 18:17:03,140 semantic_segmentation INFO: Iters: 29600/50000 || Lr: 0.008926 || Task Loss: 0.1048 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:57:06 || Estimated Time: 19:57:11
2023-07-20 18:17:03,208 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 18:17:03,568 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.696
2023-07-20 18:17:03,592 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.707
2023-07-20 18:17:03,606 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.705
2023-07-20 18:17:03,620 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-20 18:17:03,635 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 18:17:03,649 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 18:17:03,662 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-20 18:17:03,676 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 18:17:03,689 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 18:17:03,703 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 18:17:03,716 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.959, mIoU: 0.696
2023-07-20 18:17:03,729 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-20 18:17:03,743 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 18:17:03,756 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 18:17:03,770 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 18:17:03,783 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 18:17:03,797 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-20 18:17:03,811 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-20 18:17:03,824 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-20 18:17:03,838 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-20 18:17:03,852 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-20 18:17:03,866 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 18:17:03,879 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 18:17:03,892 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 18:17:03,906 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 18:17:03,919 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 18:17:03,933 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 18:17:03,946 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.952, mIoU: 0.680
2023-07-20 18:17:03,960 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-20 18:17:03,974 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-20 18:17:03,987 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.952, mIoU: 0.683
2023-07-20 18:17:04,001 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.952, mIoU: 0.684
2023-07-20 18:17:04,016 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.952, mIoU: 0.685
2023-07-20 18:17:04,031 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.686
2023-07-20 18:17:04,046 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.687
2023-07-20 18:17:04,061 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.687
2023-07-20 18:17:04,075 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.950, mIoU: 0.687
2023-07-20 18:17:04,090 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-20 18:17:04,105 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.689
2023-07-20 18:17:04,120 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-20 18:17:04,134 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.691
2023-07-20 18:17:04,149 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.693
2023-07-20 18:17:04,164 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.950, mIoU: 0.695
2023-07-20 18:17:04,179 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.950, mIoU: 0.696
2023-07-20 18:17:04,193 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.949, mIoU: 0.697
2023-07-20 18:17:04,208 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.949, mIoU: 0.699
2023-07-20 18:17:04,223 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.700
2023-07-20 18:17:04,239 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.702
2023-07-20 18:17:04,254 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 18:17:04,269 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.702
2023-07-20 18:17:04,284 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 18:17:04,299 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 18:17:04,314 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.947, mIoU: 0.703
2023-07-20 18:17:04,329 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.947, mIoU: 0.703
2023-07-20 18:17:04,343 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.946, mIoU: 0.704
2023-07-20 18:17:04,358 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.946, mIoU: 0.704
2023-07-20 18:17:04,372 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.946, mIoU: 0.704
2023-07-20 18:17:04,387 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.705
2023-07-20 18:17:04,401 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.945, mIoU: 0.706
2023-07-20 18:17:04,416 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.945, mIoU: 0.707
2023-07-20 18:17:04,430 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-20 18:17:04,445 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.708
2023-07-20 18:17:04,459 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.944, mIoU: 0.709
2023-07-20 18:17:04,474 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.710
2023-07-20 18:17:04,488 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.943, mIoU: 0.711
2023-07-20 18:17:04,503 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.711
2023-07-20 18:17:04,517 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.942, mIoU: 0.712
2023-07-20 18:17:04,532 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.713
2023-07-20 18:17:04,546 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 18:17:04,561 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-20 18:17:04,575 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-20 18:17:04,590 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-20 18:17:04,604 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-20 18:17:04,619 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-20 18:17:04,634 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.938, mIoU: 0.713
2023-07-20 18:17:04,648 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-20 18:17:04,663 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.937, mIoU: 0.712
2023-07-20 18:17:04,677 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-20 18:17:04,692 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.936, mIoU: 0.710
2023-07-20 18:17:04,706 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-20 18:17:04,721 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-20 18:17:04,735 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.708
2023-07-20 18:17:04,750 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-20 18:17:04,764 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.705
2023-07-20 18:17:04,779 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.705
2023-07-20 18:17:04,793 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.934, mIoU: 0.704
2023-07-20 18:17:04,807 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.704
2023-07-20 18:17:04,822 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.934, mIoU: 0.702
2023-07-20 18:17:04,836 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.933, mIoU: 0.701
2023-07-20 18:17:04,850 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.933, mIoU: 0.699
2023-07-20 18:17:04,865 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.933, mIoU: 0.699
2023-07-20 18:17:04,879 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.933, mIoU: 0.698
2023-07-20 18:17:04,893 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 18:17:04,908 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 18:17:04,922 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 18:17:04,936 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 18:17:04,951 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-20 18:17:04,965 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 18:17:04,979 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 18:17:04,994 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 18:17:05,008 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-20 18:17:41,191 semantic_segmentation INFO: Iters: 29610/50000 || Lr: 0.008922 || Task Loss: 0.1210 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:57:44 || Estimated Time: 19:56:37
2023-07-20 18:18:17,749 semantic_segmentation INFO: Iters: 29620/50000 || Lr: 0.008918 || Task Loss: 0.1046 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:58:21 || Estimated Time: 19:56:03
2023-07-20 18:18:53,806 semantic_segmentation INFO: Iters: 29630/50000 || Lr: 0.008914 || Task Loss: 0.1228 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0897|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:58:57 || Estimated Time: 19:55:28
2023-07-20 18:19:29,872 semantic_segmentation INFO: Iters: 29640/50000 || Lr: 0.008910 || Task Loss: 0.1159 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:59:33 || Estimated Time: 19:54:54
2023-07-20 18:20:05,907 semantic_segmentation INFO: Iters: 29650/50000 || Lr: 0.008906 || Task Loss: 0.0974 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1134|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:00:09 || Estimated Time: 19:54:19
2023-07-20 18:20:42,172 semantic_segmentation INFO: Iters: 29660/50000 || Lr: 0.008902 || Task Loss: 0.0996 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:00:45 || Estimated Time: 19:53:45
2023-07-20 18:21:18,655 semantic_segmentation INFO: Iters: 29670/50000 || Lr: 0.008898 || Task Loss: 0.1171 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:01:22 || Estimated Time: 19:53:10
2023-07-20 18:21:54,741 semantic_segmentation INFO: Iters: 29680/50000 || Lr: 0.008894 || Task Loss: 0.1036 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:01:58 || Estimated Time: 19:52:36
2023-07-20 18:22:30,579 semantic_segmentation INFO: Iters: 29690/50000 || Lr: 0.008890 || Task Loss: 0.1096 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:02:34 || Estimated Time: 19:52:01
2023-07-20 18:23:06,811 semantic_segmentation INFO: Iters: 29700/50000 || Lr: 0.008886 || Task Loss: 0.1137 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:03:10 || Estimated Time: 19:51:26
2023-07-20 18:23:42,989 semantic_segmentation INFO: Iters: 29710/50000 || Lr: 0.008882 || Task Loss: 0.1222 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:03:46 || Estimated Time: 19:50:52
2023-07-20 18:24:19,286 semantic_segmentation INFO: Iters: 29720/50000 || Lr: 0.008878 || Task Loss: 0.0946 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:04:22 || Estimated Time: 19:50:17
2023-07-20 18:24:55,326 semantic_segmentation INFO: Iters: 29730/50000 || Lr: 0.008875 || Task Loss: 0.1185 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:04:58 || Estimated Time: 19:49:43
2023-07-20 18:25:31,628 semantic_segmentation INFO: Iters: 29740/50000 || Lr: 0.008871 || Task Loss: 0.1101 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:05:35 || Estimated Time: 19:49:08
2023-07-20 18:26:07,782 semantic_segmentation INFO: Iters: 29750/50000 || Lr: 0.008867 || Task Loss: 0.1229 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0853|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:06:11 || Estimated Time: 19:48:34
2023-07-20 18:26:43,974 semantic_segmentation INFO: Iters: 29760/50000 || Lr: 0.008863 || Task Loss: 0.1156 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0838|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:06:47 || Estimated Time: 19:47:59
2023-07-20 18:27:20,272 semantic_segmentation INFO: Iters: 29770/50000 || Lr: 0.008859 || Task Loss: 0.1178 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1136|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:07:23 || Estimated Time: 19:47:25
2023-07-20 18:27:56,449 semantic_segmentation INFO: Iters: 29780/50000 || Lr: 0.008855 || Task Loss: 0.1043 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:08:00 || Estimated Time: 19:46:50
2023-07-20 18:28:33,030 semantic_segmentation INFO: Iters: 29790/50000 || Lr: 0.008851 || Task Loss: 0.1082 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0855|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:08:36 || Estimated Time: 19:46:16
2023-07-20 18:29:08,853 semantic_segmentation INFO: Iters: 29800/50000 || Lr: 0.008847 || Task Loss: 0.1120 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:09:12 || Estimated Time: 19:45:41
2023-07-20 18:29:44,970 semantic_segmentation INFO: Iters: 29810/50000 || Lr: 0.008843 || Task Loss: 0.1054 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:09:48 || Estimated Time: 19:45:06
2023-07-20 18:30:20,939 semantic_segmentation INFO: Iters: 29820/50000 || Lr: 0.008839 || Task Loss: 0.1209 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0809|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:10:24 || Estimated Time: 19:44:32
2023-07-20 18:30:57,548 semantic_segmentation INFO: Iters: 29830/50000 || Lr: 0.008835 || Task Loss: 0.1196 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:11:01 || Estimated Time: 19:43:57
2023-07-20 18:31:33,787 semantic_segmentation INFO: Iters: 29840/50000 || Lr: 0.008831 || Task Loss: 0.1201 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:11:37 || Estimated Time: 19:43:23
2023-07-20 18:32:09,671 semantic_segmentation INFO: Iters: 29850/50000 || Lr: 0.008827 || Task Loss: 0.1105 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:12:13 || Estimated Time: 19:42:48
2023-07-20 18:32:46,026 semantic_segmentation INFO: Iters: 29860/50000 || Lr: 0.008823 || Task Loss: 0.1123 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:12:49 || Estimated Time: 19:42:14
2023-07-20 18:33:22,021 semantic_segmentation INFO: Iters: 29870/50000 || Lr: 0.008819 || Task Loss: 0.1048 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:13:25 || Estimated Time: 19:41:39
2023-07-20 18:33:58,552 semantic_segmentation INFO: Iters: 29880/50000 || Lr: 0.008815 || Task Loss: 0.1203 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:14:02 || Estimated Time: 19:41:05
2023-07-20 18:34:34,849 semantic_segmentation INFO: Iters: 29890/50000 || Lr: 0.008811 || Task Loss: 0.1147 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0813|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:14:38 || Estimated Time: 19:40:30
2023-07-20 18:35:11,099 semantic_segmentation INFO: Iters: 29900/50000 || Lr: 0.008808 || Task Loss: 0.1035 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1048|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:15:14 || Estimated Time: 19:39:55
2023-07-20 18:35:47,190 semantic_segmentation INFO: Iters: 29910/50000 || Lr: 0.008804 || Task Loss: 0.1016 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:15:50 || Estimated Time: 19:39:21
2023-07-20 18:36:23,292 semantic_segmentation INFO: Iters: 29920/50000 || Lr: 0.008800 || Task Loss: 0.1104 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:16:26 || Estimated Time: 19:38:46
2023-07-20 18:36:59,757 semantic_segmentation INFO: Iters: 29930/50000 || Lr: 0.008796 || Task Loss: 0.1232 || KD Loss: 0.0360|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:17:03 || Estimated Time: 19:38:12
2023-07-20 18:37:36,248 semantic_segmentation INFO: Iters: 29940/50000 || Lr: 0.008792 || Task Loss: 0.1027 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:17:39 || Estimated Time: 19:37:37
2023-07-20 18:38:12,583 semantic_segmentation INFO: Iters: 29950/50000 || Lr: 0.008788 || Task Loss: 0.1178 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:18:16 || Estimated Time: 19:37:03
2023-07-20 18:38:48,789 semantic_segmentation INFO: Iters: 29960/50000 || Lr: 0.008784 || Task Loss: 0.1025 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:18:52 || Estimated Time: 19:36:28
2023-07-20 18:39:24,615 semantic_segmentation INFO: Iters: 29970/50000 || Lr: 0.008780 || Task Loss: 0.1100 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:19:28 || Estimated Time: 19:35:54
2023-07-20 18:40:00,680 semantic_segmentation INFO: Iters: 29980/50000 || Lr: 0.008776 || Task Loss: 0.0966 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:20:04 || Estimated Time: 19:35:19
2023-07-20 18:40:36,889 semantic_segmentation INFO: Iters: 29990/50000 || Lr: 0.008772 || Task Loss: 0.1182 || KD Loss: 0.0259|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:20:40 || Estimated Time: 19:34:44
2023-07-20 18:41:12,466 semantic_segmentation INFO: Iters: 30000/50000 || Lr: 0.008768 || Task Loss: 0.1219 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:21:16 || Estimated Time: 19:34:09
2023-07-20 18:41:48,099 semantic_segmentation INFO: Iters: 30010/50000 || Lr: 0.008764 || Task Loss: 0.1092 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:21:51 || Estimated Time: 19:33:34
2023-07-20 18:42:23,630 semantic_segmentation INFO: Iters: 30020/50000 || Lr: 0.008760 || Task Loss: 0.1214 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:22:27 || Estimated Time: 19:32:59
2023-07-20 18:42:59,153 semantic_segmentation INFO: Iters: 30030/50000 || Lr: 0.008756 || Task Loss: 0.1083 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:23:02 || Estimated Time: 19:32:24
2023-07-20 18:43:34,354 semantic_segmentation INFO: Iters: 30040/50000 || Lr: 0.008752 || Task Loss: 0.1091 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:23:37 || Estimated Time: 19:31:49
2023-07-20 18:44:10,216 semantic_segmentation INFO: Iters: 30050/50000 || Lr: 0.008748 || Task Loss: 0.1073 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:24:13 || Estimated Time: 19:31:14
2023-07-20 18:44:44,937 semantic_segmentation INFO: Iters: 30060/50000 || Lr: 0.008744 || Task Loss: 0.1101 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:24:48 || Estimated Time: 19:30:39
2023-07-20 18:45:20,240 semantic_segmentation INFO: Iters: 30070/50000 || Lr: 0.008740 || Task Loss: 0.1311 || KD Loss: 0.0448|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:25:23 || Estimated Time: 19:30:04
2023-07-20 18:45:55,015 semantic_segmentation INFO: Iters: 30080/50000 || Lr: 0.008736 || Task Loss: 0.1077 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:25:58 || Estimated Time: 19:29:28
2023-07-20 18:46:30,091 semantic_segmentation INFO: Iters: 30090/50000 || Lr: 0.008733 || Task Loss: 0.1086 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:26:33 || Estimated Time: 19:28:53
2023-07-20 18:47:04,817 semantic_segmentation INFO: Iters: 30100/50000 || Lr: 0.008729 || Task Loss: 0.1170 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:27:08 || Estimated Time: 19:28:17
2023-07-20 18:47:39,627 semantic_segmentation INFO: Iters: 30110/50000 || Lr: 0.008725 || Task Loss: 0.1123 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:27:43 || Estimated Time: 19:27:42
2023-07-20 18:48:14,497 semantic_segmentation INFO: Iters: 30120/50000 || Lr: 0.008721 || Task Loss: 0.1091 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:28:18 || Estimated Time: 19:27:06
2023-07-20 18:48:49,279 semantic_segmentation INFO: Iters: 30130/50000 || Lr: 0.008717 || Task Loss: 0.1157 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:28:52 || Estimated Time: 19:26:31
2023-07-20 18:49:23,986 semantic_segmentation INFO: Iters: 30140/50000 || Lr: 0.008713 || Task Loss: 0.1127 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:29:27 || Estimated Time: 19:25:55
2023-07-20 18:49:59,150 semantic_segmentation INFO: Iters: 30150/50000 || Lr: 0.008709 || Task Loss: 0.1047 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:30:02 || Estimated Time: 19:25:20
2023-07-20 18:50:33,747 semantic_segmentation INFO: Iters: 30160/50000 || Lr: 0.008705 || Task Loss: 0.1260 || KD Loss: 0.0359|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:30:37 || Estimated Time: 19:24:44
2023-07-20 18:51:08,307 semantic_segmentation INFO: Iters: 30170/50000 || Lr: 0.008701 || Task Loss: 0.1210 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:31:11 || Estimated Time: 19:24:09
2023-07-20 18:51:42,934 semantic_segmentation INFO: Iters: 30180/50000 || Lr: 0.008697 || Task Loss: 0.1166 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:31:46 || Estimated Time: 19:23:33
2023-07-20 18:52:17,515 semantic_segmentation INFO: Iters: 30190/50000 || Lr: 0.008693 || Task Loss: 0.1088 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:32:21 || Estimated Time: 19:22:57
2023-07-20 18:52:52,098 semantic_segmentation INFO: Iters: 30200/50000 || Lr: 0.008689 || Task Loss: 0.1288 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:32:55 || Estimated Time: 19:22:22
2023-07-20 18:53:26,779 semantic_segmentation INFO: Iters: 30210/50000 || Lr: 0.008685 || Task Loss: 0.1022 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1116|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:33:30 || Estimated Time: 19:21:46
2023-07-20 18:54:01,323 semantic_segmentation INFO: Iters: 30220/50000 || Lr: 0.008681 || Task Loss: 0.1185 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:34:04 || Estimated Time: 19:21:10
2023-07-20 18:54:35,779 semantic_segmentation INFO: Iters: 30230/50000 || Lr: 0.008677 || Task Loss: 0.0984 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:34:39 || Estimated Time: 19:20:35
2023-07-20 18:55:10,398 semantic_segmentation INFO: Iters: 30240/50000 || Lr: 0.008673 || Task Loss: 0.1054 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:35:14 || Estimated Time: 19:19:59
2023-07-20 18:55:44,899 semantic_segmentation INFO: Iters: 30250/50000 || Lr: 0.008669 || Task Loss: 0.1163 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1061|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:35:48 || Estimated Time: 19:19:23
2023-07-20 18:56:19,362 semantic_segmentation INFO: Iters: 30260/50000 || Lr: 0.008665 || Task Loss: 0.1203 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:36:22 || Estimated Time: 19:18:48
2023-07-20 18:56:53,874 semantic_segmentation INFO: Iters: 30270/50000 || Lr: 0.008661 || Task Loss: 0.1175 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:36:57 || Estimated Time: 19:18:12
2023-07-20 18:57:28,400 semantic_segmentation INFO: Iters: 30280/50000 || Lr: 0.008658 || Task Loss: 0.1206 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0838|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:37:32 || Estimated Time: 19:17:36
2023-07-20 18:58:02,739 semantic_segmentation INFO: Iters: 30290/50000 || Lr: 0.008654 || Task Loss: 0.0982 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1196|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:38:06 || Estimated Time: 19:17:01
2023-07-20 18:58:37,272 semantic_segmentation INFO: Iters: 30300/50000 || Lr: 0.008650 || Task Loss: 0.1112 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0903|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:38:40 || Estimated Time: 19:16:25
2023-07-20 18:59:11,636 semantic_segmentation INFO: Iters: 30310/50000 || Lr: 0.008646 || Task Loss: 0.1202 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:39:15 || Estimated Time: 19:15:49
2023-07-20 18:59:45,906 semantic_segmentation INFO: Iters: 30320/50000 || Lr: 0.008642 || Task Loss: 0.0979 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:39:49 || Estimated Time: 19:15:13
2023-07-20 19:00:20,350 semantic_segmentation INFO: Iters: 30330/50000 || Lr: 0.008638 || Task Loss: 0.1072 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:40:23 || Estimated Time: 19:14:38
2023-07-20 19:00:54,687 semantic_segmentation INFO: Iters: 30340/50000 || Lr: 0.008634 || Task Loss: 0.0984 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:40:58 || Estimated Time: 19:14:02
2023-07-20 19:01:29,068 semantic_segmentation INFO: Iters: 30350/50000 || Lr: 0.008630 || Task Loss: 0.1183 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:41:32 || Estimated Time: 19:13:26
2023-07-20 19:02:03,473 semantic_segmentation INFO: Iters: 30360/50000 || Lr: 0.008626 || Task Loss: 0.0939 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:42:07 || Estimated Time: 19:12:50
2023-07-20 19:02:37,795 semantic_segmentation INFO: Iters: 30370/50000 || Lr: 0.008622 || Task Loss: 0.1244 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:42:41 || Estimated Time: 19:12:14
2023-07-20 19:03:12,282 semantic_segmentation INFO: Iters: 30380/50000 || Lr: 0.008618 || Task Loss: 0.0965 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:43:15 || Estimated Time: 19:11:39
2023-07-20 19:03:46,517 semantic_segmentation INFO: Iters: 30390/50000 || Lr: 0.008614 || Task Loss: 0.1007 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:43:50 || Estimated Time: 19:11:03
2023-07-20 19:04:20,749 semantic_segmentation INFO: Iters: 30400/50000 || Lr: 0.008610 || Task Loss: 0.1043 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:44:24 || Estimated Time: 19:10:27
2023-07-20 19:04:20,813 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 19:04:21,188 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.700
2023-07-20 19:04:21,206 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.710
2023-07-20 19:04:21,219 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.708
2023-07-20 19:04:21,233 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.704
2023-07-20 19:04:21,246 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.700
2023-07-20 19:04:21,260 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.698
2023-07-20 19:04:21,273 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.699
2023-07-20 19:04:21,287 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.698
2023-07-20 19:04:21,300 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.698
2023-07-20 19:04:21,313 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.699
2023-07-20 19:04:21,326 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 19:04:21,340 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-20 19:04:21,355 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-20 19:04:21,369 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-20 19:04:21,383 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-20 19:04:21,397 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-20 19:04:21,412 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 19:04:21,426 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-20 19:04:21,440 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 19:04:21,454 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.689
2023-07-20 19:04:21,468 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.689
2023-07-20 19:04:21,482 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-20 19:04:21,496 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-20 19:04:21,510 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 19:04:21,525 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 19:04:21,539 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 19:04:21,553 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 19:04:21,567 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 19:04:21,581 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 19:04:21,596 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 19:04:21,610 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 19:04:21,624 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 19:04:21,638 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.686
2023-07-20 19:04:21,652 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 19:04:21,666 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-20 19:04:21,680 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-20 19:04:21,694 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 19:04:21,708 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-20 19:04:21,722 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.953, mIoU: 0.690
2023-07-20 19:04:21,736 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-20 19:04:21,751 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-20 19:04:21,765 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.693
2023-07-20 19:04:21,780 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.695
2023-07-20 19:04:21,794 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.696
2023-07-20 19:04:21,808 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-20 19:04:21,823 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-20 19:04:21,837 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-20 19:04:21,852 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-20 19:04:21,866 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-20 19:04:21,880 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-20 19:04:21,894 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 19:04:21,909 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 19:04:21,923 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 19:04:21,937 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.950, mIoU: 0.704
2023-07-20 19:04:21,951 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-20 19:04:21,965 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-20 19:04:21,978 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-20 19:04:21,992 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-20 19:04:22,006 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 19:04:22,020 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 19:04:22,034 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-20 19:04:22,048 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-20 19:04:22,061 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-20 19:04:22,075 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 19:04:22,088 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 19:04:22,102 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-20 19:04:22,115 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-20 19:04:22,129 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-20 19:04:22,143 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-20 19:04:22,157 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-20 19:04:22,171 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-20 19:04:22,185 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 19:04:22,199 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 19:04:22,213 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.713
2023-07-20 19:04:22,227 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.941, mIoU: 0.712
2023-07-20 19:04:22,241 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.712
2023-07-20 19:04:22,255 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.940, mIoU: 0.711
2023-07-20 19:04:22,269 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.710
2023-07-20 19:04:22,283 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.939, mIoU: 0.710
2023-07-20 19:04:22,297 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.709
2023-07-20 19:04:22,311 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.938, mIoU: 0.708
2023-07-20 19:04:22,324 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 19:04:22,339 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.706
2023-07-20 19:04:22,353 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 19:04:22,367 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-20 19:04:22,381 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-20 19:04:22,395 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-20 19:04:22,409 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-20 19:04:22,423 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 19:04:22,437 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 19:04:22,451 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 19:04:22,465 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 19:04:22,479 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 19:04:22,493 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 19:04:22,507 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 19:04:22,521 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 19:04:22,535 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 19:04:22,549 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 19:04:22,563 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-20 19:04:22,576 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-20 19:04:22,590 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 19:04:56,983 semantic_segmentation INFO: Iters: 30410/50000 || Lr: 0.008606 || Task Loss: 0.0956 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:45:00 || Estimated Time: 19:09:53
2023-07-20 19:05:31,369 semantic_segmentation INFO: Iters: 30420/50000 || Lr: 0.008602 || Task Loss: 0.1031 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:45:34 || Estimated Time: 19:09:17
2023-07-20 19:06:05,717 semantic_segmentation INFO: Iters: 30430/50000 || Lr: 0.008598 || Task Loss: 0.1024 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:46:09 || Estimated Time: 19:08:41
2023-07-20 19:06:40,041 semantic_segmentation INFO: Iters: 30440/50000 || Lr: 0.008594 || Task Loss: 0.1067 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:46:43 || Estimated Time: 19:08:05
2023-07-20 19:07:14,408 semantic_segmentation INFO: Iters: 30450/50000 || Lr: 0.008590 || Task Loss: 0.1106 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:47:18 || Estimated Time: 19:07:29
2023-07-20 19:07:48,788 semantic_segmentation INFO: Iters: 30460/50000 || Lr: 0.008586 || Task Loss: 0.1255 || KD Loss: 0.0350|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:47:52 || Estimated Time: 19:06:54
2023-07-20 19:08:23,111 semantic_segmentation INFO: Iters: 30470/50000 || Lr: 0.008582 || Task Loss: 0.1143 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:48:26 || Estimated Time: 19:06:18
2023-07-20 19:08:57,556 semantic_segmentation INFO: Iters: 30480/50000 || Lr: 0.008578 || Task Loss: 0.1105 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0818|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:49:01 || Estimated Time: 19:05:42
2023-07-20 19:09:31,919 semantic_segmentation INFO: Iters: 30490/50000 || Lr: 0.008574 || Task Loss: 0.1093 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1097|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:49:35 || Estimated Time: 19:05:06
2023-07-20 19:10:06,200 semantic_segmentation INFO: Iters: 30500/50000 || Lr: 0.008571 || Task Loss: 0.1173 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:50:09 || Estimated Time: 19:04:31
2023-07-20 19:10:40,431 semantic_segmentation INFO: Iters: 30510/50000 || Lr: 0.008567 || Task Loss: 0.1053 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:50:44 || Estimated Time: 19:03:55
2023-07-20 19:11:14,772 semantic_segmentation INFO: Iters: 30520/50000 || Lr: 0.008563 || Task Loss: 0.1080 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:51:18 || Estimated Time: 19:03:19
2023-07-20 19:11:49,037 semantic_segmentation INFO: Iters: 30530/50000 || Lr: 0.008559 || Task Loss: 0.1041 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:51:52 || Estimated Time: 19:02:43
2023-07-20 19:12:23,253 semantic_segmentation INFO: Iters: 30540/50000 || Lr: 0.008555 || Task Loss: 0.1160 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:52:26 || Estimated Time: 19:02:07
2023-07-20 19:12:57,449 semantic_segmentation INFO: Iters: 30550/50000 || Lr: 0.008551 || Task Loss: 0.1074 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:53:01 || Estimated Time: 19:01:31
2023-07-20 19:13:31,706 semantic_segmentation INFO: Iters: 30560/50000 || Lr: 0.008547 || Task Loss: 0.1036 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:53:35 || Estimated Time: 19:00:56
2023-07-20 19:14:05,828 semantic_segmentation INFO: Iters: 30570/50000 || Lr: 0.008543 || Task Loss: 0.1107 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:54:09 || Estimated Time: 19:00:20
2023-07-20 19:14:39,920 semantic_segmentation INFO: Iters: 30580/50000 || Lr: 0.008539 || Task Loss: 0.1167 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:54:43 || Estimated Time: 18:59:44
2023-07-20 19:15:14,216 semantic_segmentation INFO: Iters: 30590/50000 || Lr: 0.008535 || Task Loss: 0.1122 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:55:17 || Estimated Time: 18:59:08
2023-07-20 19:15:48,395 semantic_segmentation INFO: Iters: 30600/50000 || Lr: 0.008531 || Task Loss: 0.1060 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:55:51 || Estimated Time: 18:58:32
2023-07-20 19:16:22,614 semantic_segmentation INFO: Iters: 30610/50000 || Lr: 0.008527 || Task Loss: 0.1025 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:56:26 || Estimated Time: 18:57:56
2023-07-20 19:16:56,673 semantic_segmentation INFO: Iters: 30620/50000 || Lr: 0.008523 || Task Loss: 0.1146 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0865|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:57:00 || Estimated Time: 18:57:20
2023-07-20 19:17:30,987 semantic_segmentation INFO: Iters: 30630/50000 || Lr: 0.008519 || Task Loss: 0.1173 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:57:34 || Estimated Time: 18:56:45
2023-07-20 19:18:05,125 semantic_segmentation INFO: Iters: 30640/50000 || Lr: 0.008515 || Task Loss: 0.1206 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:58:08 || Estimated Time: 18:56:09
2023-07-20 19:18:39,404 semantic_segmentation INFO: Iters: 30650/50000 || Lr: 0.008511 || Task Loss: 0.1140 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:58:43 || Estimated Time: 18:55:33
2023-07-20 19:19:13,521 semantic_segmentation INFO: Iters: 30660/50000 || Lr: 0.008507 || Task Loss: 0.1127 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:59:17 || Estimated Time: 18:54:57
2023-07-20 19:19:47,737 semantic_segmentation INFO: Iters: 30670/50000 || Lr: 0.008503 || Task Loss: 0.0950 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:59:51 || Estimated Time: 18:54:21
2023-07-20 19:20:21,806 semantic_segmentation INFO: Iters: 30680/50000 || Lr: 0.008499 || Task Loss: 0.1123 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:00:25 || Estimated Time: 18:53:45
2023-07-20 19:20:56,035 semantic_segmentation INFO: Iters: 30690/50000 || Lr: 0.008495 || Task Loss: 0.1187 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:00:59 || Estimated Time: 18:53:09
2023-07-20 19:21:30,196 semantic_segmentation INFO: Iters: 30700/50000 || Lr: 0.008491 || Task Loss: 0.1031 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:01:33 || Estimated Time: 18:52:33
2023-07-20 19:22:04,871 semantic_segmentation INFO: Iters: 30710/50000 || Lr: 0.008487 || Task Loss: 0.0991 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:02:08 || Estimated Time: 18:51:58
2023-07-20 19:22:39,015 semantic_segmentation INFO: Iters: 30720/50000 || Lr: 0.008483 || Task Loss: 0.1054 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:02:42 || Estimated Time: 18:51:22
2023-07-20 19:23:13,301 semantic_segmentation INFO: Iters: 30730/50000 || Lr: 0.008480 || Task Loss: 0.1086 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:03:16 || Estimated Time: 18:50:46
2023-07-20 19:23:47,393 semantic_segmentation INFO: Iters: 30740/50000 || Lr: 0.008476 || Task Loss: 0.1133 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:03:50 || Estimated Time: 18:50:10
2023-07-20 19:24:21,410 semantic_segmentation INFO: Iters: 30750/50000 || Lr: 0.008472 || Task Loss: 0.0929 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:04:25 || Estimated Time: 18:49:34
2023-07-20 19:24:55,493 semantic_segmentation INFO: Iters: 30760/50000 || Lr: 0.008468 || Task Loss: 0.1113 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:04:59 || Estimated Time: 18:48:59
2023-07-20 19:25:29,706 semantic_segmentation INFO: Iters: 30770/50000 || Lr: 0.008464 || Task Loss: 0.1163 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0796|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:05:33 || Estimated Time: 18:48:23
2023-07-20 19:26:03,880 semantic_segmentation INFO: Iters: 30780/50000 || Lr: 0.008460 || Task Loss: 0.1189 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:06:07 || Estimated Time: 18:47:47
2023-07-20 19:26:38,002 semantic_segmentation INFO: Iters: 30790/50000 || Lr: 0.008456 || Task Loss: 0.1080 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:06:41 || Estimated Time: 18:47:11
2023-07-20 19:27:12,050 semantic_segmentation INFO: Iters: 30800/50000 || Lr: 0.008452 || Task Loss: 0.1057 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:07:15 || Estimated Time: 18:46:35
2023-07-20 19:27:46,219 semantic_segmentation INFO: Iters: 30810/50000 || Lr: 0.008448 || Task Loss: 0.1011 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:07:49 || Estimated Time: 18:45:59
2023-07-20 19:28:20,293 semantic_segmentation INFO: Iters: 30820/50000 || Lr: 0.008444 || Task Loss: 0.1341 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:08:23 || Estimated Time: 18:45:23
2023-07-20 19:28:54,411 semantic_segmentation INFO: Iters: 30830/50000 || Lr: 0.008440 || Task Loss: 0.1090 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1061|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:08:58 || Estimated Time: 18:44:47
2023-07-20 19:29:28,476 semantic_segmentation INFO: Iters: 30840/50000 || Lr: 0.008436 || Task Loss: 0.1070 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:09:32 || Estimated Time: 18:44:11
2023-07-20 19:30:02,613 semantic_segmentation INFO: Iters: 30850/50000 || Lr: 0.008432 || Task Loss: 0.1036 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:10:06 || Estimated Time: 18:43:36
2023-07-20 19:30:36,725 semantic_segmentation INFO: Iters: 30860/50000 || Lr: 0.008428 || Task Loss: 0.1252 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:10:40 || Estimated Time: 18:43:00
2023-07-20 19:31:11,015 semantic_segmentation INFO: Iters: 30870/50000 || Lr: 0.008424 || Task Loss: 0.1085 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1061|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:11:14 || Estimated Time: 18:42:24
2023-07-20 19:31:45,160 semantic_segmentation INFO: Iters: 30880/50000 || Lr: 0.008420 || Task Loss: 0.0942 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:11:48 || Estimated Time: 18:41:48
2023-07-20 19:32:19,277 semantic_segmentation INFO: Iters: 30890/50000 || Lr: 0.008416 || Task Loss: 0.1044 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:12:22 || Estimated Time: 18:41:12
2023-07-20 19:32:53,837 semantic_segmentation INFO: Iters: 30900/50000 || Lr: 0.008412 || Task Loss: 0.1251 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:12:57 || Estimated Time: 18:40:37
2023-07-20 19:33:27,857 semantic_segmentation INFO: Iters: 30910/50000 || Lr: 0.008408 || Task Loss: 0.1204 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:13:31 || Estimated Time: 18:40:01
2023-07-20 19:34:01,879 semantic_segmentation INFO: Iters: 30920/50000 || Lr: 0.008404 || Task Loss: 0.1124 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0863|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:14:05 || Estimated Time: 18:39:25
2023-07-20 19:34:36,038 semantic_segmentation INFO: Iters: 30930/50000 || Lr: 0.008400 || Task Loss: 0.1098 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:14:39 || Estimated Time: 18:38:49
2023-07-20 19:35:10,188 semantic_segmentation INFO: Iters: 30940/50000 || Lr: 0.008396 || Task Loss: 0.0953 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:15:13 || Estimated Time: 18:38:13
2023-07-20 19:35:44,332 semantic_segmentation INFO: Iters: 30950/50000 || Lr: 0.008392 || Task Loss: 0.1068 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0769|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:15:47 || Estimated Time: 18:37:37
2023-07-20 19:36:18,542 semantic_segmentation INFO: Iters: 30960/50000 || Lr: 0.008388 || Task Loss: 0.1112 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1094|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:16:22 || Estimated Time: 18:37:01
2023-07-20 19:36:52,647 semantic_segmentation INFO: Iters: 30970/50000 || Lr: 0.008384 || Task Loss: 0.1112 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:16:56 || Estimated Time: 18:36:26
2023-07-20 19:37:26,883 semantic_segmentation INFO: Iters: 30980/50000 || Lr: 0.008380 || Task Loss: 0.1101 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:17:30 || Estimated Time: 18:35:50
2023-07-20 19:38:01,133 semantic_segmentation INFO: Iters: 30990/50000 || Lr: 0.008376 || Task Loss: 0.1030 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0884|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:18:04 || Estimated Time: 18:35:14
2023-07-20 19:38:35,489 semantic_segmentation INFO: Iters: 31000/50000 || Lr: 0.008373 || Task Loss: 0.1164 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:18:39 || Estimated Time: 18:34:38
2023-07-20 19:39:09,918 semantic_segmentation INFO: Iters: 31010/50000 || Lr: 0.008369 || Task Loss: 0.1122 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:19:13 || Estimated Time: 18:34:03
2023-07-20 19:39:44,275 semantic_segmentation INFO: Iters: 31020/50000 || Lr: 0.008365 || Task Loss: 0.1142 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:19:47 || Estimated Time: 18:33:27
2023-07-20 19:40:18,480 semantic_segmentation INFO: Iters: 31030/50000 || Lr: 0.008361 || Task Loss: 0.1189 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:20:22 || Estimated Time: 18:32:51
2023-07-20 19:40:52,725 semantic_segmentation INFO: Iters: 31040/50000 || Lr: 0.008357 || Task Loss: 0.0985 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:20:56 || Estimated Time: 18:32:15
2023-07-20 19:41:26,871 semantic_segmentation INFO: Iters: 31050/50000 || Lr: 0.008353 || Task Loss: 0.1054 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:21:30 || Estimated Time: 18:31:39
2023-07-20 19:42:00,975 semantic_segmentation INFO: Iters: 31060/50000 || Lr: 0.008349 || Task Loss: 0.1112 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:22:04 || Estimated Time: 18:31:04
2023-07-20 19:42:35,072 semantic_segmentation INFO: Iters: 31070/50000 || Lr: 0.008345 || Task Loss: 0.0904 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:22:38 || Estimated Time: 18:30:28
2023-07-20 19:43:09,307 semantic_segmentation INFO: Iters: 31080/50000 || Lr: 0.008341 || Task Loss: 0.0885 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:23:12 || Estimated Time: 18:29:52
2023-07-20 19:43:43,410 semantic_segmentation INFO: Iters: 31090/50000 || Lr: 0.008337 || Task Loss: 0.1213 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0868|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:23:47 || Estimated Time: 18:29:16
2023-07-20 19:44:17,467 semantic_segmentation INFO: Iters: 31100/50000 || Lr: 0.008333 || Task Loss: 0.0952 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1094|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:24:21 || Estimated Time: 18:28:40
2023-07-20 19:44:51,416 semantic_segmentation INFO: Iters: 31110/50000 || Lr: 0.008329 || Task Loss: 0.1101 || KD Loss: 0.0358|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:24:55 || Estimated Time: 18:28:04
2023-07-20 19:45:25,452 semantic_segmentation INFO: Iters: 31120/50000 || Lr: 0.008325 || Task Loss: 0.1307 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0851|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:25:29 || Estimated Time: 18:27:28
2023-07-20 19:45:59,501 semantic_segmentation INFO: Iters: 31130/50000 || Lr: 0.008321 || Task Loss: 0.1140 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:26:03 || Estimated Time: 18:26:52
2023-07-20 19:46:33,656 semantic_segmentation INFO: Iters: 31140/50000 || Lr: 0.008317 || Task Loss: 0.1112 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:26:37 || Estimated Time: 18:26:17
2023-07-20 19:47:07,688 semantic_segmentation INFO: Iters: 31150/50000 || Lr: 0.008313 || Task Loss: 0.1212 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:27:11 || Estimated Time: 18:25:41
2023-07-20 19:47:41,663 semantic_segmentation INFO: Iters: 31160/50000 || Lr: 0.008309 || Task Loss: 0.1141 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:27:45 || Estimated Time: 18:25:05
2023-07-20 19:48:15,723 semantic_segmentation INFO: Iters: 31170/50000 || Lr: 0.008305 || Task Loss: 0.0969 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:28:19 || Estimated Time: 18:24:29
2023-07-20 19:48:49,799 semantic_segmentation INFO: Iters: 31180/50000 || Lr: 0.008301 || Task Loss: 0.1175 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:28:53 || Estimated Time: 18:23:53
2023-07-20 19:49:23,827 semantic_segmentation INFO: Iters: 31190/50000 || Lr: 0.008297 || Task Loss: 0.1266 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0817|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:29:27 || Estimated Time: 18:23:17
2023-07-20 19:49:57,855 semantic_segmentation INFO: Iters: 31200/50000 || Lr: 0.008293 || Task Loss: 0.1137 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:30:01 || Estimated Time: 18:22:41
2023-07-20 19:49:57,925 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 19:49:58,289 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-20 19:49:58,324 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.711
2023-07-20 19:49:58,336 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.709
2023-07-20 19:49:58,348 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.705
2023-07-20 19:49:58,361 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.700
2023-07-20 19:49:58,373 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 19:49:58,386 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 19:49:58,398 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 19:49:58,411 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 19:49:58,424 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.700
2023-07-20 19:49:58,437 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-20 19:49:58,450 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.958, mIoU: 0.699
2023-07-20 19:49:58,463 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-20 19:49:58,477 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-20 19:49:58,490 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-20 19:49:58,503 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.958, mIoU: 0.699
2023-07-20 19:49:58,517 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-20 19:49:58,530 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-20 19:49:58,544 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-20 19:49:58,557 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-20 19:49:58,570 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-20 19:49:58,583 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-20 19:49:58,596 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 19:49:58,609 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 19:49:58,623 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 19:49:58,636 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 19:49:58,650 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 19:49:58,663 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-20 19:49:58,677 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 19:49:58,690 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-20 19:49:58,703 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 19:49:58,717 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-20 19:49:58,730 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 19:49:58,744 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-20 19:49:58,757 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.690
2023-07-20 19:49:58,771 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-20 19:49:58,784 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 19:49:58,798 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.691
2023-07-20 19:49:58,811 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 19:49:58,824 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.693
2023-07-20 19:49:58,838 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.694
2023-07-20 19:49:58,852 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.696
2023-07-20 19:49:58,865 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-20 19:49:58,879 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-20 19:49:58,893 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.699
2023-07-20 19:49:58,907 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.701
2023-07-20 19:49:58,920 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 19:49:58,934 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.704
2023-07-20 19:49:58,948 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-20 19:49:58,962 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-20 19:49:58,975 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-20 19:49:58,989 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-20 19:49:59,003 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-20 19:49:59,017 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 19:49:59,030 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 19:49:59,044 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 19:49:59,058 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-20 19:49:59,073 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-20 19:49:59,087 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-20 19:49:59,101 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-20 19:49:59,115 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 19:49:59,129 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-20 19:49:59,143 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-20 19:49:59,157 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-20 19:49:59,171 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.713
2023-07-20 19:49:59,185 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-20 19:49:59,199 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-20 19:49:59,213 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-20 19:49:59,227 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-20 19:49:59,241 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-20 19:49:59,255 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-20 19:49:59,269 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.717
2023-07-20 19:49:59,283 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.716
2023-07-20 19:49:59,297 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.716
2023-07-20 19:49:59,310 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.715
2023-07-20 19:49:59,324 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-20 19:49:59,338 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-20 19:49:59,351 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.713
2023-07-20 19:49:59,365 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.712
2023-07-20 19:49:59,378 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-20 19:49:59,392 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 19:49:59,405 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-20 19:49:59,419 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-20 19:49:59,432 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-20 19:49:59,445 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 19:49:59,459 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 19:49:59,473 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 19:49:59,487 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 19:49:59,501 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.702
2023-07-20 19:49:59,515 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 19:49:59,529 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 19:49:59,543 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 19:49:59,557 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 19:49:59,572 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 19:49:59,586 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 19:49:59,600 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 19:49:59,614 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 19:49:59,628 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 19:49:59,642 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-20 19:49:59,656 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 19:49:59,670 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-20 19:50:33,879 semantic_segmentation INFO: Iters: 31210/50000 || Lr: 0.008289 || Task Loss: 0.1172 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:30:37 || Estimated Time: 18:22:07
2023-07-20 19:51:07,836 semantic_segmentation INFO: Iters: 31220/50000 || Lr: 0.008285 || Task Loss: 0.1012 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0837|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:31:11 || Estimated Time: 18:21:31
2023-07-20 19:51:41,910 semantic_segmentation INFO: Iters: 31230/50000 || Lr: 0.008281 || Task Loss: 0.0930 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:31:45 || Estimated Time: 18:20:55
2023-07-20 19:52:15,974 semantic_segmentation INFO: Iters: 31240/50000 || Lr: 0.008277 || Task Loss: 0.1052 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:32:19 || Estimated Time: 18:20:19
2023-07-20 19:52:49,940 semantic_segmentation INFO: Iters: 31250/50000 || Lr: 0.008273 || Task Loss: 0.0991 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:32:53 || Estimated Time: 18:19:43
2023-07-20 19:53:23,996 semantic_segmentation INFO: Iters: 31260/50000 || Lr: 0.008269 || Task Loss: 0.0993 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:33:27 || Estimated Time: 18:19:07
2023-07-20 19:53:57,944 semantic_segmentation INFO: Iters: 31270/50000 || Lr: 0.008265 || Task Loss: 0.1152 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:34:01 || Estimated Time: 18:18:31
2023-07-20 19:54:31,866 semantic_segmentation INFO: Iters: 31280/50000 || Lr: 0.008261 || Task Loss: 0.0905 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:34:35 || Estimated Time: 18:17:55
2023-07-20 19:55:05,888 semantic_segmentation INFO: Iters: 31290/50000 || Lr: 0.008257 || Task Loss: 0.0983 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:35:09 || Estimated Time: 18:17:19
2023-07-20 19:55:39,909 semantic_segmentation INFO: Iters: 31300/50000 || Lr: 0.008253 || Task Loss: 0.1276 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:35:43 || Estimated Time: 18:16:43
2023-07-20 19:56:14,025 semantic_segmentation INFO: Iters: 31310/50000 || Lr: 0.008249 || Task Loss: 0.1149 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:36:17 || Estimated Time: 18:16:08
2023-07-20 19:56:47,867 semantic_segmentation INFO: Iters: 31320/50000 || Lr: 0.008246 || Task Loss: 0.1015 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0856|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:36:51 || Estimated Time: 18:15:32
2023-07-20 19:57:21,785 semantic_segmentation INFO: Iters: 31330/50000 || Lr: 0.008242 || Task Loss: 0.1002 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0880|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:37:25 || Estimated Time: 18:14:56
2023-07-20 19:57:55,741 semantic_segmentation INFO: Iters: 31340/50000 || Lr: 0.008238 || Task Loss: 0.1122 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:37:59 || Estimated Time: 18:14:20
2023-07-20 19:58:29,651 semantic_segmentation INFO: Iters: 31350/50000 || Lr: 0.008234 || Task Loss: 0.1024 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:38:33 || Estimated Time: 18:13:44
2023-07-20 19:59:03,626 semantic_segmentation INFO: Iters: 31360/50000 || Lr: 0.008230 || Task Loss: 0.1117 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:39:07 || Estimated Time: 18:13:08
2023-07-20 19:59:37,542 semantic_segmentation INFO: Iters: 31370/50000 || Lr: 0.008226 || Task Loss: 0.1104 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:39:41 || Estimated Time: 18:12:32
2023-07-20 20:00:11,463 semantic_segmentation INFO: Iters: 31380/50000 || Lr: 0.008222 || Task Loss: 0.1243 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:40:15 || Estimated Time: 18:11:56
2023-07-20 20:00:45,394 semantic_segmentation INFO: Iters: 31390/50000 || Lr: 0.008218 || Task Loss: 0.1035 || KD Loss: 0.0412|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1171|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:40:48 || Estimated Time: 18:11:20
2023-07-20 20:01:19,253 semantic_segmentation INFO: Iters: 31400/50000 || Lr: 0.008214 || Task Loss: 0.0938 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:41:22 || Estimated Time: 18:10:44
2023-07-20 20:01:53,204 semantic_segmentation INFO: Iters: 31410/50000 || Lr: 0.008210 || Task Loss: 0.1117 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:41:56 || Estimated Time: 18:10:08
2023-07-20 20:02:27,190 semantic_segmentation INFO: Iters: 31420/50000 || Lr: 0.008206 || Task Loss: 0.1119 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:42:30 || Estimated Time: 18:09:32
2023-07-20 20:03:01,155 semantic_segmentation INFO: Iters: 31430/50000 || Lr: 0.008202 || Task Loss: 0.1088 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:43:04 || Estimated Time: 18:08:56
2023-07-20 20:03:35,154 semantic_segmentation INFO: Iters: 31440/50000 || Lr: 0.008198 || Task Loss: 0.1045 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:43:38 || Estimated Time: 18:08:20
2023-07-20 20:04:09,558 semantic_segmentation INFO: Iters: 31450/50000 || Lr: 0.008194 || Task Loss: 0.1142 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:44:13 || Estimated Time: 18:07:45
2023-07-20 20:04:43,594 semantic_segmentation INFO: Iters: 31460/50000 || Lr: 0.008190 || Task Loss: 0.1206 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0880|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:44:47 || Estimated Time: 18:07:09
2023-07-20 20:05:17,568 semantic_segmentation INFO: Iters: 31470/50000 || Lr: 0.008186 || Task Loss: 0.1131 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:45:21 || Estimated Time: 18:06:33
2023-07-20 20:05:51,954 semantic_segmentation INFO: Iters: 31480/50000 || Lr: 0.008182 || Task Loss: 0.1085 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:45:55 || Estimated Time: 18:05:57
2023-07-20 20:06:25,935 semantic_segmentation INFO: Iters: 31490/50000 || Lr: 0.008178 || Task Loss: 0.1214 || KD Loss: 0.0374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:46:29 || Estimated Time: 18:05:22
2023-07-20 20:06:59,951 semantic_segmentation INFO: Iters: 31500/50000 || Lr: 0.008174 || Task Loss: 0.1118 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:47:03 || Estimated Time: 18:04:46
2023-07-20 20:07:33,921 semantic_segmentation INFO: Iters: 31510/50000 || Lr: 0.008170 || Task Loss: 0.1051 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1162|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:47:37 || Estimated Time: 18:04:10
2023-07-20 20:08:07,936 semantic_segmentation INFO: Iters: 31520/50000 || Lr: 0.008166 || Task Loss: 0.1295 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:48:11 || Estimated Time: 18:03:34
2023-07-20 20:08:41,958 semantic_segmentation INFO: Iters: 31530/50000 || Lr: 0.008162 || Task Loss: 0.1093 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:48:45 || Estimated Time: 18:02:58
2023-07-20 20:09:15,961 semantic_segmentation INFO: Iters: 31540/50000 || Lr: 0.008158 || Task Loss: 0.1151 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:49:19 || Estimated Time: 18:02:22
2023-07-20 20:09:49,933 semantic_segmentation INFO: Iters: 31550/50000 || Lr: 0.008154 || Task Loss: 0.1060 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:49:53 || Estimated Time: 18:01:46
2023-07-20 20:10:23,973 semantic_segmentation INFO: Iters: 31560/50000 || Lr: 0.008150 || Task Loss: 0.1003 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:50:27 || Estimated Time: 18:01:10
2023-07-20 20:10:57,900 semantic_segmentation INFO: Iters: 31570/50000 || Lr: 0.008146 || Task Loss: 0.1142 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:51:01 || Estimated Time: 18:00:35
2023-07-20 20:11:31,923 semantic_segmentation INFO: Iters: 31580/50000 || Lr: 0.008142 || Task Loss: 0.0999 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:51:35 || Estimated Time: 17:59:59
2023-07-20 20:12:05,898 semantic_segmentation INFO: Iters: 31590/50000 || Lr: 0.008138 || Task Loss: 0.1123 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1102|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:52:09 || Estimated Time: 17:59:23
2023-07-20 20:12:39,831 semantic_segmentation INFO: Iters: 31600/50000 || Lr: 0.008134 || Task Loss: 0.0975 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:52:43 || Estimated Time: 17:58:47
2023-07-20 20:13:13,771 semantic_segmentation INFO: Iters: 31610/50000 || Lr: 0.008130 || Task Loss: 0.0943 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:53:17 || Estimated Time: 17:58:11
2023-07-20 20:13:47,768 semantic_segmentation INFO: Iters: 31620/50000 || Lr: 0.008126 || Task Loss: 0.1181 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1159|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:53:51 || Estimated Time: 17:57:35
2023-07-20 20:14:21,781 semantic_segmentation INFO: Iters: 31630/50000 || Lr: 0.008122 || Task Loss: 0.1159 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:54:25 || Estimated Time: 17:56:59
2023-07-20 20:14:55,717 semantic_segmentation INFO: Iters: 31640/50000 || Lr: 0.008118 || Task Loss: 0.1149 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0767|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:54:59 || Estimated Time: 17:56:23
2023-07-20 20:15:29,526 semantic_segmentation INFO: Iters: 31650/50000 || Lr: 0.008114 || Task Loss: 0.1051 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:55:33 || Estimated Time: 17:55:47
2023-07-20 20:16:03,539 semantic_segmentation INFO: Iters: 31660/50000 || Lr: 0.008110 || Task Loss: 0.1300 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:56:07 || Estimated Time: 17:55:12
2023-07-20 20:16:37,523 semantic_segmentation INFO: Iters: 31670/50000 || Lr: 0.008106 || Task Loss: 0.1074 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1171|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:56:41 || Estimated Time: 17:54:36
2023-07-20 20:17:11,335 semantic_segmentation INFO: Iters: 31680/50000 || Lr: 0.008102 || Task Loss: 0.1147 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:57:14 || Estimated Time: 17:54:00
2023-07-20 20:17:45,256 semantic_segmentation INFO: Iters: 31690/50000 || Lr: 0.008098 || Task Loss: 0.1193 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:57:48 || Estimated Time: 17:53:24
2023-07-20 20:18:19,241 semantic_segmentation INFO: Iters: 31700/50000 || Lr: 0.008094 || Task Loss: 0.1090 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0787|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:58:22 || Estimated Time: 17:52:48
2023-07-20 20:18:53,272 semantic_segmentation INFO: Iters: 31710/50000 || Lr: 0.008090 || Task Loss: 0.0986 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:58:56 || Estimated Time: 17:52:12
2023-07-20 20:19:27,062 semantic_segmentation INFO: Iters: 31720/50000 || Lr: 0.008086 || Task Loss: 0.1330 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0826|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:59:30 || Estimated Time: 17:51:36
2023-07-20 20:20:01,006 semantic_segmentation INFO: Iters: 31730/50000 || Lr: 0.008082 || Task Loss: 0.1118 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:00:04 || Estimated Time: 17:51:00
2023-07-20 20:20:34,854 semantic_segmentation INFO: Iters: 31740/50000 || Lr: 0.008078 || Task Loss: 0.1150 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:00:38 || Estimated Time: 17:50:24
2023-07-20 20:21:08,790 semantic_segmentation INFO: Iters: 31750/50000 || Lr: 0.008074 || Task Loss: 0.1125 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0869|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:01:12 || Estimated Time: 17:49:48
2023-07-20 20:21:42,684 semantic_segmentation INFO: Iters: 31760/50000 || Lr: 0.008071 || Task Loss: 0.1054 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:01:46 || Estimated Time: 17:49:13
2023-07-20 20:22:16,617 semantic_segmentation INFO: Iters: 31770/50000 || Lr: 0.008067 || Task Loss: 0.0980 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:02:20 || Estimated Time: 17:48:37
2023-07-20 20:22:50,516 semantic_segmentation INFO: Iters: 31780/50000 || Lr: 0.008063 || Task Loss: 0.1196 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0856|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:02:54 || Estimated Time: 17:48:01
2023-07-20 20:23:24,265 semantic_segmentation INFO: Iters: 31790/50000 || Lr: 0.008059 || Task Loss: 0.1157 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:03:27 || Estimated Time: 17:47:25
2023-07-20 20:23:57,990 semantic_segmentation INFO: Iters: 31800/50000 || Lr: 0.008055 || Task Loss: 0.1251 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:04:01 || Estimated Time: 17:46:49
2023-07-20 20:24:31,665 semantic_segmentation INFO: Iters: 31810/50000 || Lr: 0.008051 || Task Loss: 0.1097 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0905|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:04:35 || Estimated Time: 17:46:13
2023-07-20 20:25:05,445 semantic_segmentation INFO: Iters: 31820/50000 || Lr: 0.008047 || Task Loss: 0.0842 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:05:09 || Estimated Time: 17:45:37
2023-07-20 20:25:39,386 semantic_segmentation INFO: Iters: 31830/50000 || Lr: 0.008043 || Task Loss: 0.1076 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:05:42 || Estimated Time: 17:45:01
2023-07-20 20:26:13,188 semantic_segmentation INFO: Iters: 31840/50000 || Lr: 0.008039 || Task Loss: 0.1202 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0840|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:06:16 || Estimated Time: 17:44:25
2023-07-20 20:26:47,013 semantic_segmentation INFO: Iters: 31850/50000 || Lr: 0.008035 || Task Loss: 0.1161 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:06:50 || Estimated Time: 17:43:49
2023-07-20 20:27:20,946 semantic_segmentation INFO: Iters: 31860/50000 || Lr: 0.008031 || Task Loss: 0.1068 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:07:24 || Estimated Time: 17:43:13
2023-07-20 20:27:54,723 semantic_segmentation INFO: Iters: 31870/50000 || Lr: 0.008027 || Task Loss: 0.1173 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:07:58 || Estimated Time: 17:42:37
2023-07-20 20:28:28,653 semantic_segmentation INFO: Iters: 31880/50000 || Lr: 0.008023 || Task Loss: 0.1016 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:08:32 || Estimated Time: 17:42:01
2023-07-20 20:29:02,539 semantic_segmentation INFO: Iters: 31890/50000 || Lr: 0.008019 || Task Loss: 0.1136 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:09:06 || Estimated Time: 17:41:25
2023-07-20 20:29:36,391 semantic_segmentation INFO: Iters: 31900/50000 || Lr: 0.008015 || Task Loss: 0.1107 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:09:39 || Estimated Time: 17:40:50
2023-07-20 20:30:10,243 semantic_segmentation INFO: Iters: 31910/50000 || Lr: 0.008011 || Task Loss: 0.1069 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:10:13 || Estimated Time: 17:40:14
2023-07-20 20:30:44,122 semantic_segmentation INFO: Iters: 31920/50000 || Lr: 0.008007 || Task Loss: 0.1177 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0914|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:10:47 || Estimated Time: 17:39:38
2023-07-20 20:31:18,052 semantic_segmentation INFO: Iters: 31930/50000 || Lr: 0.008003 || Task Loss: 0.0995 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0856|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:11:21 || Estimated Time: 17:39:02
2023-07-20 20:31:51,971 semantic_segmentation INFO: Iters: 31940/50000 || Lr: 0.007999 || Task Loss: 0.1144 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:11:55 || Estimated Time: 17:38:26
2023-07-20 20:32:25,748 semantic_segmentation INFO: Iters: 31950/50000 || Lr: 0.007995 || Task Loss: 0.1043 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:12:29 || Estimated Time: 17:37:50
2023-07-20 20:32:59,635 semantic_segmentation INFO: Iters: 31960/50000 || Lr: 0.007991 || Task Loss: 0.0990 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:13:03 || Estimated Time: 17:37:14
2023-07-20 20:33:33,483 semantic_segmentation INFO: Iters: 31970/50000 || Lr: 0.007987 || Task Loss: 0.1372 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0797|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:13:37 || Estimated Time: 17:36:38
2023-07-20 20:34:07,312 semantic_segmentation INFO: Iters: 31980/50000 || Lr: 0.007983 || Task Loss: 0.1141 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0752|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:14:10 || Estimated Time: 17:36:02
2023-07-20 20:34:41,150 semantic_segmentation INFO: Iters: 31990/50000 || Lr: 0.007979 || Task Loss: 0.1090 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:14:44 || Estimated Time: 17:35:26
2023-07-20 20:35:14,905 semantic_segmentation INFO: Iters: 32000/50000 || Lr: 0.007975 || Task Loss: 0.1095 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0848|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:15:18 || Estimated Time: 17:34:51
2023-07-20 20:35:14,972 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 20:35:15,343 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.704
2023-07-20 20:35:15,360 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.713
2023-07-20 20:35:15,372 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.711
2023-07-20 20:35:15,385 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.707
2023-07-20 20:35:15,397 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 20:35:15,409 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 20:35:15,422 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 20:35:15,434 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-20 20:35:15,447 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 20:35:15,459 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 20:35:15,471 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-20 20:35:15,484 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 20:35:15,496 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 20:35:15,509 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 20:35:15,522 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-20 20:35:15,535 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.696
2023-07-20 20:35:15,548 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.694
2023-07-20 20:35:15,561 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-20 20:35:15,574 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-20 20:35:15,587 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.957, mIoU: 0.688
2023-07-20 20:35:15,600 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-20 20:35:15,613 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 20:35:15,626 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 20:35:15,639 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 20:35:15,652 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 20:35:15,665 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 20:35:15,677 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 20:35:15,690 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 20:35:15,703 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 20:35:15,716 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 20:35:15,729 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 20:35:15,742 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 20:35:15,756 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 20:35:15,769 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 20:35:15,782 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-20 20:35:15,795 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 20:35:15,808 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-20 20:35:15,822 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-20 20:35:15,835 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-20 20:35:15,848 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-20 20:35:15,861 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-20 20:35:15,874 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-20 20:35:15,887 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-20 20:35:15,900 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-20 20:35:15,913 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-20 20:35:15,927 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-20 20:35:15,940 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-20 20:35:15,954 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-20 20:35:15,968 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 20:35:15,981 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.702
2023-07-20 20:35:15,995 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 20:35:16,009 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.702
2023-07-20 20:35:16,022 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 20:35:16,036 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 20:35:16,049 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 20:35:16,063 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 20:35:16,077 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 20:35:16,090 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 20:35:16,104 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-20 20:35:16,117 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-20 20:35:16,131 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-20 20:35:16,145 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 20:35:16,159 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-20 20:35:16,173 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.709
2023-07-20 20:35:16,186 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-20 20:35:16,200 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.710
2023-07-20 20:35:16,214 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-20 20:35:16,228 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-20 20:35:16,241 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-20 20:35:16,255 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-20 20:35:16,269 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-20 20:35:16,282 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-20 20:35:16,296 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 20:35:16,309 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 20:35:16,323 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-20 20:35:16,337 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-20 20:35:16,350 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-20 20:35:16,364 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-20 20:35:16,377 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-20 20:35:16,391 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 20:35:16,404 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-20 20:35:16,418 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 20:35:16,432 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 20:35:16,445 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 20:35:16,459 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 20:35:16,472 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 20:35:16,486 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 20:35:16,499 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 20:35:16,512 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 20:35:16,526 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 20:35:16,539 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 20:35:16,553 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 20:35:16,566 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 20:35:16,580 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 20:35:16,594 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 20:35:16,608 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 20:35:16,621 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 20:35:16,635 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-20 20:35:16,649 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-20 20:35:16,662 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 20:35:16,676 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-20 20:35:50,708 semantic_segmentation INFO: Iters: 32010/50000 || Lr: 0.007971 || Task Loss: 0.1029 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:15:54 || Estimated Time: 17:34:16
2023-07-20 20:36:24,504 semantic_segmentation INFO: Iters: 32020/50000 || Lr: 0.007967 || Task Loss: 0.1231 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:16:28 || Estimated Time: 17:33:40
2023-07-20 20:36:58,306 semantic_segmentation INFO: Iters: 32030/50000 || Lr: 0.007963 || Task Loss: 0.1151 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:17:01 || Estimated Time: 17:33:04
2023-07-20 20:37:32,097 semantic_segmentation INFO: Iters: 32040/50000 || Lr: 0.007959 || Task Loss: 0.1111 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:17:35 || Estimated Time: 17:32:28
2023-07-20 20:38:05,957 semantic_segmentation INFO: Iters: 32050/50000 || Lr: 0.007955 || Task Loss: 0.1005 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:18:09 || Estimated Time: 17:31:52
2023-07-20 20:38:39,768 semantic_segmentation INFO: Iters: 32060/50000 || Lr: 0.007951 || Task Loss: 0.1086 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1110|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:18:43 || Estimated Time: 17:31:16
2023-07-20 20:39:13,542 semantic_segmentation INFO: Iters: 32070/50000 || Lr: 0.007947 || Task Loss: 0.1173 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:19:17 || Estimated Time: 17:30:40
2023-07-20 20:39:47,339 semantic_segmentation INFO: Iters: 32080/50000 || Lr: 0.007943 || Task Loss: 0.1008 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:19:50 || Estimated Time: 17:30:04
2023-07-20 20:40:21,109 semantic_segmentation INFO: Iters: 32090/50000 || Lr: 0.007939 || Task Loss: 0.1211 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:20:24 || Estimated Time: 17:29:28
2023-07-20 20:40:54,729 semantic_segmentation INFO: Iters: 32100/50000 || Lr: 0.007935 || Task Loss: 0.0977 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:20:58 || Estimated Time: 17:28:52
2023-07-20 20:41:28,495 semantic_segmentation INFO: Iters: 32110/50000 || Lr: 0.007931 || Task Loss: 0.1170 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:21:32 || Estimated Time: 17:28:16
2023-07-20 20:42:02,317 semantic_segmentation INFO: Iters: 32120/50000 || Lr: 0.007927 || Task Loss: 0.1179 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:22:05 || Estimated Time: 17:27:40
2023-07-20 20:42:36,078 semantic_segmentation INFO: Iters: 32130/50000 || Lr: 0.007923 || Task Loss: 0.1058 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:22:39 || Estimated Time: 17:27:05
2023-07-20 20:43:09,837 semantic_segmentation INFO: Iters: 32140/50000 || Lr: 0.007919 || Task Loss: 0.1147 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:23:13 || Estimated Time: 17:26:29
2023-07-20 20:43:43,628 semantic_segmentation INFO: Iters: 32150/50000 || Lr: 0.007915 || Task Loss: 0.1219 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:23:47 || Estimated Time: 17:25:53
2023-07-20 20:44:17,464 semantic_segmentation INFO: Iters: 32160/50000 || Lr: 0.007911 || Task Loss: 0.1212 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:24:21 || Estimated Time: 17:25:17
2023-07-20 20:44:51,409 semantic_segmentation INFO: Iters: 32170/50000 || Lr: 0.007907 || Task Loss: 0.1118 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:24:55 || Estimated Time: 17:24:41
2023-07-20 20:45:25,226 semantic_segmentation INFO: Iters: 32180/50000 || Lr: 0.007903 || Task Loss: 0.1040 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1113|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:25:28 || Estimated Time: 17:24:05
2023-07-20 20:45:59,078 semantic_segmentation INFO: Iters: 32190/50000 || Lr: 0.007899 || Task Loss: 0.1051 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0941|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:26:02 || Estimated Time: 17:23:29
2023-07-20 20:46:32,822 semantic_segmentation INFO: Iters: 32200/50000 || Lr: 0.007895 || Task Loss: 0.1082 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:26:36 || Estimated Time: 17:22:53
2023-07-20 20:47:06,596 semantic_segmentation INFO: Iters: 32210/50000 || Lr: 0.007891 || Task Loss: 0.1065 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:27:10 || Estimated Time: 17:22:17
2023-07-20 20:47:40,382 semantic_segmentation INFO: Iters: 32220/50000 || Lr: 0.007887 || Task Loss: 0.1170 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:27:43 || Estimated Time: 17:21:41
2023-07-20 20:48:14,060 semantic_segmentation INFO: Iters: 32230/50000 || Lr: 0.007883 || Task Loss: 0.1034 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:28:17 || Estimated Time: 17:21:05
2023-07-20 20:48:47,815 semantic_segmentation INFO: Iters: 32240/50000 || Lr: 0.007879 || Task Loss: 0.1285 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:28:51 || Estimated Time: 17:20:30
2023-07-20 20:49:21,605 semantic_segmentation INFO: Iters: 32250/50000 || Lr: 0.007875 || Task Loss: 0.1137 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0862|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:29:25 || Estimated Time: 17:19:54
2023-07-20 20:49:55,414 semantic_segmentation INFO: Iters: 32260/50000 || Lr: 0.007871 || Task Loss: 0.1120 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:29:59 || Estimated Time: 17:19:18
2023-07-20 20:50:29,297 semantic_segmentation INFO: Iters: 32270/50000 || Lr: 0.007867 || Task Loss: 0.1090 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:30:32 || Estimated Time: 17:18:42
2023-07-20 20:51:03,046 semantic_segmentation INFO: Iters: 32280/50000 || Lr: 0.007863 || Task Loss: 0.0857 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1049|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:31:06 || Estimated Time: 17:18:06
2023-07-20 20:51:36,795 semantic_segmentation INFO: Iters: 32290/50000 || Lr: 0.007859 || Task Loss: 0.1082 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:31:40 || Estimated Time: 17:17:30
2023-07-20 20:52:10,484 semantic_segmentation INFO: Iters: 32300/50000 || Lr: 0.007855 || Task Loss: 0.0978 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:32:14 || Estimated Time: 17:16:54
2023-07-20 20:52:44,200 semantic_segmentation INFO: Iters: 32310/50000 || Lr: 0.007851 || Task Loss: 0.1077 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:32:47 || Estimated Time: 17:16:18
2023-07-20 20:53:17,872 semantic_segmentation INFO: Iters: 32320/50000 || Lr: 0.007847 || Task Loss: 0.1333 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:33:21 || Estimated Time: 17:15:42
2023-07-20 20:53:51,549 semantic_segmentation INFO: Iters: 32330/50000 || Lr: 0.007843 || Task Loss: 0.1215 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:33:55 || Estimated Time: 17:15:06
2023-07-20 20:54:25,095 semantic_segmentation INFO: Iters: 32340/50000 || Lr: 0.007839 || Task Loss: 0.1094 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:34:28 || Estimated Time: 17:14:30
2023-07-20 20:54:58,657 semantic_segmentation INFO: Iters: 32350/50000 || Lr: 0.007835 || Task Loss: 0.1242 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:35:02 || Estimated Time: 17:13:54
2023-07-20 20:55:32,243 semantic_segmentation INFO: Iters: 32360/50000 || Lr: 0.007831 || Task Loss: 0.1156 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:35:35 || Estimated Time: 17:13:18
2023-07-20 20:56:05,820 semantic_segmentation INFO: Iters: 32370/50000 || Lr: 0.007827 || Task Loss: 0.0956 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:36:09 || Estimated Time: 17:12:42
2023-07-20 20:56:39,479 semantic_segmentation INFO: Iters: 32380/50000 || Lr: 0.007823 || Task Loss: 0.1277 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:36:43 || Estimated Time: 17:12:06
2023-07-20 20:57:13,068 semantic_segmentation INFO: Iters: 32390/50000 || Lr: 0.007819 || Task Loss: 0.1112 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:37:16 || Estimated Time: 17:11:30
2023-07-20 20:57:46,642 semantic_segmentation INFO: Iters: 32400/50000 || Lr: 0.007815 || Task Loss: 0.1143 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:37:50 || Estimated Time: 17:10:54
2023-07-20 20:58:20,297 semantic_segmentation INFO: Iters: 32410/50000 || Lr: 0.007811 || Task Loss: 0.1075 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:38:23 || Estimated Time: 17:10:18
2023-07-20 20:58:54,041 semantic_segmentation INFO: Iters: 32420/50000 || Lr: 0.007807 || Task Loss: 0.1062 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:38:57 || Estimated Time: 17:09:42
2023-07-20 20:59:27,742 semantic_segmentation INFO: Iters: 32430/50000 || Lr: 0.007803 || Task Loss: 0.1010 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:39:31 || Estimated Time: 17:09:07
2023-07-20 21:00:01,433 semantic_segmentation INFO: Iters: 32440/50000 || Lr: 0.007799 || Task Loss: 0.1070 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:40:05 || Estimated Time: 17:08:31
2023-07-20 21:00:35,149 semantic_segmentation INFO: Iters: 32450/50000 || Lr: 0.007795 || Task Loss: 0.1070 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:40:38 || Estimated Time: 17:07:55
2023-07-20 21:01:08,779 semantic_segmentation INFO: Iters: 32460/50000 || Lr: 0.007791 || Task Loss: 0.1101 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:41:12 || Estimated Time: 17:07:19
2023-07-20 21:01:42,607 semantic_segmentation INFO: Iters: 32470/50000 || Lr: 0.007787 || Task Loss: 0.1038 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:41:46 || Estimated Time: 17:06:43
2023-07-20 21:02:16,399 semantic_segmentation INFO: Iters: 32480/50000 || Lr: 0.007783 || Task Loss: 0.1138 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:42:20 || Estimated Time: 17:06:07
2023-07-20 21:02:50,166 semantic_segmentation INFO: Iters: 32490/50000 || Lr: 0.007779 || Task Loss: 0.1239 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0907|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:42:53 || Estimated Time: 17:05:31
2023-07-20 21:03:23,910 semantic_segmentation INFO: Iters: 32500/50000 || Lr: 0.007775 || Task Loss: 0.1277 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:43:27 || Estimated Time: 17:04:55
2023-07-20 21:03:57,575 semantic_segmentation INFO: Iters: 32510/50000 || Lr: 0.007771 || Task Loss: 0.1065 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:44:01 || Estimated Time: 17:04:19
2023-07-20 21:04:31,350 semantic_segmentation INFO: Iters: 32520/50000 || Lr: 0.007767 || Task Loss: 0.1181 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:44:34 || Estimated Time: 17:03:43
2023-07-20 21:05:05,085 semantic_segmentation INFO: Iters: 32530/50000 || Lr: 0.007763 || Task Loss: 0.0974 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:45:08 || Estimated Time: 17:03:08
2023-07-20 21:05:38,860 semantic_segmentation INFO: Iters: 32540/50000 || Lr: 0.007759 || Task Loss: 0.1111 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:45:42 || Estimated Time: 17:02:32
2023-07-20 21:06:12,535 semantic_segmentation INFO: Iters: 32550/50000 || Lr: 0.007755 || Task Loss: 0.1292 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:46:16 || Estimated Time: 17:01:56
2023-07-20 21:06:46,178 semantic_segmentation INFO: Iters: 32560/50000 || Lr: 0.007751 || Task Loss: 0.1045 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:46:49 || Estimated Time: 17:01:20
2023-07-20 21:07:19,843 semantic_segmentation INFO: Iters: 32570/50000 || Lr: 0.007747 || Task Loss: 0.1315 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0753|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:47:23 || Estimated Time: 17:00:44
2023-07-20 21:07:53,565 semantic_segmentation INFO: Iters: 32580/50000 || Lr: 0.007743 || Task Loss: 0.1265 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:47:57 || Estimated Time: 17:00:08
2023-07-20 21:08:27,297 semantic_segmentation INFO: Iters: 32590/50000 || Lr: 0.007739 || Task Loss: 0.1163 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:48:30 || Estimated Time: 16:59:32
2023-07-20 21:09:00,909 semantic_segmentation INFO: Iters: 32600/50000 || Lr: 0.007735 || Task Loss: 0.0944 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:49:04 || Estimated Time: 16:58:56
2023-07-20 21:09:34,467 semantic_segmentation INFO: Iters: 32610/50000 || Lr: 0.007731 || Task Loss: 0.1115 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0897|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:49:38 || Estimated Time: 16:58:20
2023-07-20 21:10:08,099 semantic_segmentation INFO: Iters: 32620/50000 || Lr: 0.007727 || Task Loss: 0.0912 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:50:11 || Estimated Time: 16:57:44
2023-07-20 21:10:41,735 semantic_segmentation INFO: Iters: 32630/50000 || Lr: 0.007723 || Task Loss: 0.1124 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:50:45 || Estimated Time: 16:57:08
2023-07-20 21:11:15,320 semantic_segmentation INFO: Iters: 32640/50000 || Lr: 0.007719 || Task Loss: 0.1147 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0877|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:51:18 || Estimated Time: 16:56:32
2023-07-20 21:11:48,934 semantic_segmentation INFO: Iters: 32650/50000 || Lr: 0.007715 || Task Loss: 0.1061 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:51:52 || Estimated Time: 16:55:56
2023-07-20 21:12:22,553 semantic_segmentation INFO: Iters: 32660/50000 || Lr: 0.007711 || Task Loss: 0.1035 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:52:26 || Estimated Time: 16:55:20
2023-07-20 21:12:56,371 semantic_segmentation INFO: Iters: 32670/50000 || Lr: 0.007707 || Task Loss: 0.1022 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:52:59 || Estimated Time: 16:54:45
2023-07-20 21:13:30,084 semantic_segmentation INFO: Iters: 32680/50000 || Lr: 0.007703 || Task Loss: 0.1069 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:53:33 || Estimated Time: 16:54:09
2023-07-20 21:14:03,676 semantic_segmentation INFO: Iters: 32690/50000 || Lr: 0.007699 || Task Loss: 0.1163 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:54:07 || Estimated Time: 16:53:33
2023-07-20 21:14:37,321 semantic_segmentation INFO: Iters: 32700/50000 || Lr: 0.007695 || Task Loss: 0.1010 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:54:40 || Estimated Time: 16:52:57
2023-07-20 21:15:10,997 semantic_segmentation INFO: Iters: 32710/50000 || Lr: 0.007691 || Task Loss: 0.1200 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:55:14 || Estimated Time: 16:52:21
2023-07-20 21:15:44,657 semantic_segmentation INFO: Iters: 32720/50000 || Lr: 0.007687 || Task Loss: 0.1091 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0809|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:55:48 || Estimated Time: 16:51:45
2023-07-20 21:16:18,426 semantic_segmentation INFO: Iters: 32730/50000 || Lr: 0.007683 || Task Loss: 0.1342 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:56:22 || Estimated Time: 16:51:09
2023-07-20 21:16:52,007 semantic_segmentation INFO: Iters: 32740/50000 || Lr: 0.007679 || Task Loss: 0.1045 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:56:55 || Estimated Time: 16:50:33
2023-07-20 21:17:25,648 semantic_segmentation INFO: Iters: 32750/50000 || Lr: 0.007675 || Task Loss: 0.0849 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:57:29 || Estimated Time: 16:49:57
2023-07-20 21:17:59,188 semantic_segmentation INFO: Iters: 32760/50000 || Lr: 0.007671 || Task Loss: 0.1208 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0780|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:58:02 || Estimated Time: 16:49:21
2023-07-20 21:18:32,822 semantic_segmentation INFO: Iters: 32770/50000 || Lr: 0.007667 || Task Loss: 0.1105 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:58:36 || Estimated Time: 16:48:45
2023-07-20 21:19:06,418 semantic_segmentation INFO: Iters: 32780/50000 || Lr: 0.007663 || Task Loss: 0.1187 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:59:10 || Estimated Time: 16:48:10
2023-07-20 21:19:39,997 semantic_segmentation INFO: Iters: 32790/50000 || Lr: 0.007659 || Task Loss: 0.1289 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 7:59:43 || Estimated Time: 16:47:34
2023-07-20 21:20:13,593 semantic_segmentation INFO: Iters: 32800/50000 || Lr: 0.007655 || Task Loss: 0.1031 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:00:17 || Estimated Time: 16:46:58
2023-07-20 21:20:13,658 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 21:20:14,039 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-20 21:20:14,055 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.709
2023-07-20 21:20:14,067 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.711
2023-07-20 21:20:14,080 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.707
2023-07-20 21:20:14,092 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-20 21:20:14,105 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-20 21:20:14,117 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 21:20:14,129 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-20 21:20:14,141 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.701
2023-07-20 21:20:14,154 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.701
2023-07-20 21:20:14,166 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 21:20:14,179 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-20 21:20:14,192 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-20 21:20:14,205 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-20 21:20:14,218 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.696
2023-07-20 21:20:14,231 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-20 21:20:14,243 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-20 21:20:14,256 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.690
2023-07-20 21:20:14,269 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.689
2023-07-20 21:20:14,282 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 21:20:14,295 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.686
2023-07-20 21:20:14,307 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.684
2023-07-20 21:20:14,320 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.683
2023-07-20 21:20:14,333 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 21:20:14,345 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-20 21:20:14,358 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 21:20:14,371 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-20 21:20:14,384 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-20 21:20:14,397 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-20 21:20:14,411 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 21:20:14,424 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 21:20:14,437 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-20 21:20:14,450 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-20 21:20:14,463 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-20 21:20:14,476 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-20 21:20:14,490 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-20 21:20:14,503 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-20 21:20:14,516 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.693
2023-07-20 21:20:14,529 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.953, mIoU: 0.693
2023-07-20 21:20:14,542 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.953, mIoU: 0.695
2023-07-20 21:20:14,556 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.953, mIoU: 0.696
2023-07-20 21:20:14,569 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.697
2023-07-20 21:20:14,582 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.699
2023-07-20 21:20:14,596 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.700
2023-07-20 21:20:14,610 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-20 21:20:14,623 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.953, mIoU: 0.702
2023-07-20 21:20:14,637 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.953, mIoU: 0.704
2023-07-20 21:20:14,651 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.953, mIoU: 0.706
2023-07-20 21:20:14,664 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-20 21:20:14,678 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-20 21:20:14,691 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-20 21:20:14,705 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-20 21:20:14,719 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-20 21:20:14,732 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-20 21:20:14,746 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-20 21:20:14,759 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-20 21:20:14,773 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-20 21:20:14,787 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-20 21:20:14,801 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.708
2023-07-20 21:20:14,815 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.948, mIoU: 0.708
2023-07-20 21:20:14,829 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-20 21:20:14,843 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-20 21:20:14,856 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 21:20:14,870 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-20 21:20:14,884 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-20 21:20:14,897 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-20 21:20:14,911 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-20 21:20:14,924 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-20 21:20:14,938 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-20 21:20:14,951 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-20 21:20:14,965 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-20 21:20:14,979 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-20 21:20:14,992 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 21:20:15,006 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 21:20:15,020 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-20 21:20:15,034 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.712
2023-07-20 21:20:15,047 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-20 21:20:15,061 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-20 21:20:15,075 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-20 21:20:15,088 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.709
2023-07-20 21:20:15,101 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 21:20:15,115 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.707
2023-07-20 21:20:15,129 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-20 21:20:15,142 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 21:20:15,156 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 21:20:15,170 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 21:20:15,183 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 21:20:15,196 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 21:20:15,211 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 21:20:15,224 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 21:20:15,238 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 21:20:15,251 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 21:20:15,265 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 21:20:15,279 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 21:20:15,293 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 21:20:15,306 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 21:20:15,320 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 21:20:15,333 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 21:20:15,347 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-20 21:20:15,360 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 21:20:15,374 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-20 21:20:49,015 semantic_segmentation INFO: Iters: 32810/50000 || Lr: 0.007651 || Task Loss: 0.1112 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:00:52 || Estimated Time: 16:46:23
2023-07-20 21:21:22,537 semantic_segmentation INFO: Iters: 32820/50000 || Lr: 0.007647 || Task Loss: 0.1156 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0846|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:01:26 || Estimated Time: 16:45:47
2023-07-20 21:21:56,031 semantic_segmentation INFO: Iters: 32830/50000 || Lr: 0.007643 || Task Loss: 0.0830 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:01:59 || Estimated Time: 16:45:11
2023-07-20 21:22:29,571 semantic_segmentation INFO: Iters: 32840/50000 || Lr: 0.007639 || Task Loss: 0.1013 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:02:33 || Estimated Time: 16:44:35
2023-07-20 21:23:03,326 semantic_segmentation INFO: Iters: 32850/50000 || Lr: 0.007635 || Task Loss: 0.1003 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:03:06 || Estimated Time: 16:43:59
2023-07-20 21:23:37,384 semantic_segmentation INFO: Iters: 32860/50000 || Lr: 0.007631 || Task Loss: 0.1149 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:03:40 || Estimated Time: 16:43:23
2023-07-20 21:24:11,365 semantic_segmentation INFO: Iters: 32870/50000 || Lr: 0.007627 || Task Loss: 0.1053 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:04:14 || Estimated Time: 16:42:48
2023-07-20 21:24:45,543 semantic_segmentation INFO: Iters: 32880/50000 || Lr: 0.007623 || Task Loss: 0.1207 || KD Loss: 0.0388|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:04:49 || Estimated Time: 16:42:12
2023-07-20 21:25:19,875 semantic_segmentation INFO: Iters: 32890/50000 || Lr: 0.007619 || Task Loss: 0.1040 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:05:23 || Estimated Time: 16:41:36
2023-07-20 21:25:54,159 semantic_segmentation INFO: Iters: 32900/50000 || Lr: 0.007615 || Task Loss: 0.1167 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:05:57 || Estimated Time: 16:41:01
2023-07-20 21:26:28,532 semantic_segmentation INFO: Iters: 32910/50000 || Lr: 0.007611 || Task Loss: 0.1130 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:06:32 || Estimated Time: 16:40:25
2023-07-20 21:27:03,014 semantic_segmentation INFO: Iters: 32920/50000 || Lr: 0.007607 || Task Loss: 0.0999 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:07:06 || Estimated Time: 16:39:50
2023-07-20 21:27:37,531 semantic_segmentation INFO: Iters: 32930/50000 || Lr: 0.007603 || Task Loss: 0.1075 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0816|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:07:41 || Estimated Time: 16:39:14
2023-07-20 21:28:12,169 semantic_segmentation INFO: Iters: 32940/50000 || Lr: 0.007599 || Task Loss: 0.1144 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:08:15 || Estimated Time: 16:38:39
2023-07-20 21:28:46,719 semantic_segmentation INFO: Iters: 32950/50000 || Lr: 0.007595 || Task Loss: 0.0974 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:08:50 || Estimated Time: 16:38:04
2023-07-20 21:29:21,197 semantic_segmentation INFO: Iters: 32960/50000 || Lr: 0.007591 || Task Loss: 0.1203 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0794|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:09:24 || Estimated Time: 16:37:28
2023-07-20 21:29:55,867 semantic_segmentation INFO: Iters: 32970/50000 || Lr: 0.007587 || Task Loss: 0.1200 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:09:59 || Estimated Time: 16:36:53
2023-07-20 21:30:30,580 semantic_segmentation INFO: Iters: 32980/50000 || Lr: 0.007583 || Task Loss: 0.0976 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:10:34 || Estimated Time: 16:36:17
2023-07-20 21:31:05,008 semantic_segmentation INFO: Iters: 32990/50000 || Lr: 0.007579 || Task Loss: 0.1058 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:11:08 || Estimated Time: 16:35:42
2023-07-20 21:31:39,850 semantic_segmentation INFO: Iters: 33000/50000 || Lr: 0.007575 || Task Loss: 0.1145 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:11:43 || Estimated Time: 16:35:07
2023-07-20 21:32:14,716 semantic_segmentation INFO: Iters: 33010/50000 || Lr: 0.007571 || Task Loss: 0.1132 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:12:18 || Estimated Time: 16:34:31
2023-07-20 21:32:49,409 semantic_segmentation INFO: Iters: 33020/50000 || Lr: 0.007567 || Task Loss: 0.1112 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:12:53 || Estimated Time: 16:33:56
2023-07-20 21:33:23,913 semantic_segmentation INFO: Iters: 33030/50000 || Lr: 0.007563 || Task Loss: 0.1221 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:13:27 || Estimated Time: 16:33:21
2023-07-20 21:33:58,623 semantic_segmentation INFO: Iters: 33040/50000 || Lr: 0.007559 || Task Loss: 0.1083 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:14:02 || Estimated Time: 16:32:45
2023-07-20 21:34:33,480 semantic_segmentation INFO: Iters: 33050/50000 || Lr: 0.007555 || Task Loss: 0.0961 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:14:37 || Estimated Time: 16:32:10
2023-07-20 21:35:08,361 semantic_segmentation INFO: Iters: 33060/50000 || Lr: 0.007551 || Task Loss: 0.0985 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:15:11 || Estimated Time: 16:31:35
2023-07-20 21:35:43,059 semantic_segmentation INFO: Iters: 33070/50000 || Lr: 0.007547 || Task Loss: 0.1125 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:15:46 || Estimated Time: 16:31:00
2023-07-20 21:36:17,910 semantic_segmentation INFO: Iters: 33080/50000 || Lr: 0.007543 || Task Loss: 0.1052 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:16:21 || Estimated Time: 16:30:24
2023-07-20 21:36:52,554 semantic_segmentation INFO: Iters: 33090/50000 || Lr: 0.007539 || Task Loss: 0.1177 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:16:56 || Estimated Time: 16:29:49
2023-07-20 21:37:27,756 semantic_segmentation INFO: Iters: 33100/50000 || Lr: 0.007535 || Task Loss: 0.1379 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:17:31 || Estimated Time: 16:29:14
2023-07-20 21:38:02,584 semantic_segmentation INFO: Iters: 33110/50000 || Lr: 0.007531 || Task Loss: 0.1023 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:18:06 || Estimated Time: 16:28:39
2023-07-20 21:38:37,649 semantic_segmentation INFO: Iters: 33120/50000 || Lr: 0.007527 || Task Loss: 0.1182 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:18:41 || Estimated Time: 16:28:03
2023-07-20 21:39:12,826 semantic_segmentation INFO: Iters: 33130/50000 || Lr: 0.007523 || Task Loss: 0.1237 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0840|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:19:16 || Estimated Time: 16:27:28
2023-07-20 21:39:47,818 semantic_segmentation INFO: Iters: 33140/50000 || Lr: 0.007519 || Task Loss: 0.0925 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:19:51 || Estimated Time: 16:26:53
2023-07-20 21:40:22,852 semantic_segmentation INFO: Iters: 33150/50000 || Lr: 0.007515 || Task Loss: 0.1135 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:20:26 || Estimated Time: 16:26:18
2023-07-20 21:40:57,591 semantic_segmentation INFO: Iters: 33160/50000 || Lr: 0.007511 || Task Loss: 0.1200 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:21:01 || Estimated Time: 16:25:43
2023-07-20 21:41:33,185 semantic_segmentation INFO: Iters: 33170/50000 || Lr: 0.007507 || Task Loss: 0.1017 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:21:36 || Estimated Time: 16:25:08
2023-07-20 21:42:07,915 semantic_segmentation INFO: Iters: 33180/50000 || Lr: 0.007503 || Task Loss: 0.1056 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1097|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:22:11 || Estimated Time: 16:24:32
2023-07-20 21:42:42,997 semantic_segmentation INFO: Iters: 33190/50000 || Lr: 0.007499 || Task Loss: 0.1034 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:22:46 || Estimated Time: 16:23:57
2023-07-20 21:43:18,041 semantic_segmentation INFO: Iters: 33200/50000 || Lr: 0.007495 || Task Loss: 0.1201 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:23:21 || Estimated Time: 16:23:22
2023-07-20 21:43:52,997 semantic_segmentation INFO: Iters: 33210/50000 || Lr: 0.007491 || Task Loss: 0.1130 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:23:56 || Estimated Time: 16:22:47
2023-07-20 21:44:28,224 semantic_segmentation INFO: Iters: 33220/50000 || Lr: 0.007487 || Task Loss: 0.1179 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0890|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:24:31 || Estimated Time: 16:22:12
2023-07-20 21:45:03,227 semantic_segmentation INFO: Iters: 33230/50000 || Lr: 0.007483 || Task Loss: 0.0885 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:25:06 || Estimated Time: 16:21:37
2023-07-20 21:45:38,399 semantic_segmentation INFO: Iters: 33240/50000 || Lr: 0.007479 || Task Loss: 0.1198 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0777|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:25:42 || Estimated Time: 16:21:02
2023-07-20 21:46:13,272 semantic_segmentation INFO: Iters: 33250/50000 || Lr: 0.007475 || Task Loss: 0.1272 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:26:16 || Estimated Time: 16:20:26
2023-07-20 21:46:48,943 semantic_segmentation INFO: Iters: 33260/50000 || Lr: 0.007471 || Task Loss: 0.0945 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:26:52 || Estimated Time: 16:19:51
2023-07-20 21:47:23,937 semantic_segmentation INFO: Iters: 33270/50000 || Lr: 0.007467 || Task Loss: 0.1176 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:27:27 || Estimated Time: 16:19:16
2023-07-20 21:47:58,972 semantic_segmentation INFO: Iters: 33280/50000 || Lr: 0.007463 || Task Loss: 0.1143 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0799|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:28:02 || Estimated Time: 16:18:41
2023-07-20 21:48:34,711 semantic_segmentation INFO: Iters: 33290/50000 || Lr: 0.007459 || Task Loss: 0.1081 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:28:38 || Estimated Time: 16:18:06
2023-07-20 21:49:09,542 semantic_segmentation INFO: Iters: 33300/50000 || Lr: 0.007455 || Task Loss: 0.1060 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:29:13 || Estimated Time: 16:17:31
2023-07-20 21:49:44,616 semantic_segmentation INFO: Iters: 33310/50000 || Lr: 0.007451 || Task Loss: 0.1063 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:29:48 || Estimated Time: 16:16:56
2023-07-20 21:50:20,372 semantic_segmentation INFO: Iters: 33320/50000 || Lr: 0.007447 || Task Loss: 0.1165 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:30:23 || Estimated Time: 16:16:21
2023-07-20 21:50:55,893 semantic_segmentation INFO: Iters: 33330/50000 || Lr: 0.007443 || Task Loss: 0.1394 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:30:59 || Estimated Time: 16:15:46
2023-07-20 21:51:30,907 semantic_segmentation INFO: Iters: 33340/50000 || Lr: 0.007439 || Task Loss: 0.1119 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:31:34 || Estimated Time: 16:15:11
2023-07-20 21:52:06,223 semantic_segmentation INFO: Iters: 33350/50000 || Lr: 0.007435 || Task Loss: 0.1121 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:32:09 || Estimated Time: 16:14:36
2023-07-20 21:52:41,401 semantic_segmentation INFO: Iters: 33360/50000 || Lr: 0.007431 || Task Loss: 0.0994 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1142|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:32:45 || Estimated Time: 16:14:01
2023-07-20 21:53:17,237 semantic_segmentation INFO: Iters: 33370/50000 || Lr: 0.007426 || Task Loss: 0.1135 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0823|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:33:20 || Estimated Time: 16:13:26
2023-07-20 21:53:52,530 semantic_segmentation INFO: Iters: 33380/50000 || Lr: 0.007422 || Task Loss: 0.0939 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:33:56 || Estimated Time: 16:12:51
2023-07-20 21:54:27,716 semantic_segmentation INFO: Iters: 33390/50000 || Lr: 0.007418 || Task Loss: 0.1205 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:34:31 || Estimated Time: 16:12:16
2023-07-20 21:55:02,912 semantic_segmentation INFO: Iters: 33400/50000 || Lr: 0.007414 || Task Loss: 0.0957 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:35:06 || Estimated Time: 16:11:41
2023-07-20 21:55:38,405 semantic_segmentation INFO: Iters: 33410/50000 || Lr: 0.007410 || Task Loss: 0.0922 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:35:42 || Estimated Time: 16:11:06
2023-07-20 21:56:13,656 semantic_segmentation INFO: Iters: 33420/50000 || Lr: 0.007406 || Task Loss: 0.1146 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0849|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:36:17 || Estimated Time: 16:10:31
2023-07-20 21:56:49,319 semantic_segmentation INFO: Iters: 33430/50000 || Lr: 0.007402 || Task Loss: 0.1073 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:36:52 || Estimated Time: 16:09:56
2023-07-20 21:57:24,430 semantic_segmentation INFO: Iters: 33440/50000 || Lr: 0.007398 || Task Loss: 0.1040 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:37:28 || Estimated Time: 16:09:21
2023-07-20 21:57:59,960 semantic_segmentation INFO: Iters: 33450/50000 || Lr: 0.007394 || Task Loss: 0.1085 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:38:03 || Estimated Time: 16:08:46
2023-07-20 21:58:35,784 semantic_segmentation INFO: Iters: 33460/50000 || Lr: 0.007390 || Task Loss: 0.1138 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0840|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:38:39 || Estimated Time: 16:08:11
2023-07-20 21:59:10,956 semantic_segmentation INFO: Iters: 33470/50000 || Lr: 0.007386 || Task Loss: 0.0891 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:39:14 || Estimated Time: 16:07:36
2023-07-20 21:59:46,435 semantic_segmentation INFO: Iters: 33480/50000 || Lr: 0.007382 || Task Loss: 0.1081 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:39:50 || Estimated Time: 16:07:01
2023-07-20 22:00:22,062 semantic_segmentation INFO: Iters: 33490/50000 || Lr: 0.007378 || Task Loss: 0.1073 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0799|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:40:25 || Estimated Time: 16:06:26
2023-07-20 22:00:57,047 semantic_segmentation INFO: Iters: 33500/50000 || Lr: 0.007374 || Task Loss: 0.1310 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0748|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:41:00 || Estimated Time: 16:05:51
2023-07-20 22:01:32,853 semantic_segmentation INFO: Iters: 33510/50000 || Lr: 0.007370 || Task Loss: 0.1211 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:41:36 || Estimated Time: 16:05:16
2023-07-20 22:02:08,511 semantic_segmentation INFO: Iters: 33520/50000 || Lr: 0.007366 || Task Loss: 0.1251 || KD Loss: 0.0384|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1163|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:42:12 || Estimated Time: 16:04:42
2023-07-20 22:02:44,107 semantic_segmentation INFO: Iters: 33530/50000 || Lr: 0.007362 || Task Loss: 0.1180 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:42:47 || Estimated Time: 16:04:07
2023-07-20 22:03:20,004 semantic_segmentation INFO: Iters: 33540/50000 || Lr: 0.007358 || Task Loss: 0.1159 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:43:23 || Estimated Time: 16:03:32
2023-07-20 22:03:55,418 semantic_segmentation INFO: Iters: 33550/50000 || Lr: 0.007354 || Task Loss: 0.1016 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:43:59 || Estimated Time: 16:02:57
2023-07-20 22:04:30,754 semantic_segmentation INFO: Iters: 33560/50000 || Lr: 0.007350 || Task Loss: 0.1261 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:44:34 || Estimated Time: 16:02:22
2023-07-20 22:05:06,562 semantic_segmentation INFO: Iters: 33570/50000 || Lr: 0.007346 || Task Loss: 0.1121 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:45:10 || Estimated Time: 16:01:47
2023-07-20 22:05:42,089 semantic_segmentation INFO: Iters: 33580/50000 || Lr: 0.007342 || Task Loss: 0.1035 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:45:45 || Estimated Time: 16:01:12
2023-07-20 22:06:17,622 semantic_segmentation INFO: Iters: 33590/50000 || Lr: 0.007338 || Task Loss: 0.1078 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:46:21 || Estimated Time: 16:00:37
2023-07-20 22:06:53,495 semantic_segmentation INFO: Iters: 33600/50000 || Lr: 0.007334 || Task Loss: 0.1260 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0850|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:46:57 || Estimated Time: 16:00:02
2023-07-20 22:06:53,563 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 22:06:53,930 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-20 22:06:53,943 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.707
2023-07-20 22:06:53,956 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.705
2023-07-20 22:06:53,969 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-20 22:06:53,982 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.696
2023-07-20 22:06:53,996 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.696
2023-07-20 22:06:54,009 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.696
2023-07-20 22:06:54,022 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.697
2023-07-20 22:06:54,035 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 22:06:54,048 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 22:06:54,062 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 22:06:54,075 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 22:06:54,088 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 22:06:54,101 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-20 22:06:54,114 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 22:06:54,128 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 22:06:54,141 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-20 22:06:54,154 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.695
2023-07-20 22:06:54,167 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-20 22:06:54,181 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-20 22:06:54,195 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.691
2023-07-20 22:06:54,209 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-20 22:06:54,224 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-20 22:06:54,238 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 22:06:54,252 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 22:06:54,266 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 22:06:54,280 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 22:06:54,295 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-20 22:06:54,309 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 22:06:54,323 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 22:06:54,337 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-20 22:06:54,352 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-20 22:06:54,366 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-20 22:06:54,380 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-20 22:06:54,394 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-20 22:06:54,409 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-20 22:06:54,423 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-20 22:06:54,438 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-20 22:06:54,452 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-20 22:06:54,466 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-20 22:06:54,481 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-20 22:06:54,495 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-20 22:06:54,509 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-20 22:06:54,523 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-20 22:06:54,537 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-20 22:06:54,552 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-20 22:06:54,566 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-20 22:06:54,580 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-20 22:06:54,594 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-20 22:06:54,609 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-20 22:06:54,624 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-20 22:06:54,639 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-20 22:06:54,653 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-20 22:06:54,668 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-20 22:06:54,683 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-20 22:06:54,698 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 22:06:54,713 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-20 22:06:54,727 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-20 22:06:54,742 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-20 22:06:54,757 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-20 22:06:54,771 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-20 22:06:54,786 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 22:06:54,800 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 22:06:54,815 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-20 22:06:54,829 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-20 22:06:54,843 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-20 22:06:54,858 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-20 22:06:54,872 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-20 22:06:54,886 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-20 22:06:54,900 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 22:06:54,914 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-20 22:06:54,928 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 22:06:54,942 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.713
2023-07-20 22:06:54,956 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-20 22:06:54,969 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.712
2023-07-20 22:06:54,983 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-20 22:06:54,997 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-20 22:06:55,011 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-20 22:06:55,027 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.709
2023-07-20 22:06:55,042 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 22:06:55,057 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.707
2023-07-20 22:06:55,072 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 22:06:55,088 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-20 22:06:55,103 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 22:06:55,118 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 22:06:55,133 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-20 22:06:55,148 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-20 22:06:55,163 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-20 22:06:55,178 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-20 22:06:55,193 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 22:06:55,208 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.698
2023-07-20 22:06:55,223 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 22:06:55,237 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 22:06:55,251 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 22:06:55,265 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 22:06:55,279 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 22:06:55,293 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 22:06:55,307 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-20 22:06:55,320 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-20 22:06:55,334 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-20 22:06:55,348 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.696
2023-07-20 22:07:30,633 semantic_segmentation INFO: Iters: 33610/50000 || Lr: 0.007330 || Task Loss: 0.1149 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:47:34 || Estimated Time: 15:59:28
2023-07-20 22:08:06,522 semantic_segmentation INFO: Iters: 33620/50000 || Lr: 0.007326 || Task Loss: 0.1042 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:48:10 || Estimated Time: 15:58:54
2023-07-20 22:08:42,225 semantic_segmentation INFO: Iters: 33630/50000 || Lr: 0.007322 || Task Loss: 0.1104 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:48:45 || Estimated Time: 15:58:19
2023-07-20 22:09:17,937 semantic_segmentation INFO: Iters: 33640/50000 || Lr: 0.007318 || Task Loss: 0.1129 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:49:21 || Estimated Time: 15:57:44
2023-07-20 22:09:53,191 semantic_segmentation INFO: Iters: 33650/50000 || Lr: 0.007314 || Task Loss: 0.1091 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0786|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:49:56 || Estimated Time: 15:57:09
2023-07-20 22:10:29,085 semantic_segmentation INFO: Iters: 33660/50000 || Lr: 0.007310 || Task Loss: 0.1049 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:50:32 || Estimated Time: 15:56:34
2023-07-20 22:11:04,387 semantic_segmentation INFO: Iters: 33670/50000 || Lr: 0.007306 || Task Loss: 0.1022 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:51:07 || Estimated Time: 15:55:59
2023-07-20 22:11:40,472 semantic_segmentation INFO: Iters: 33680/50000 || Lr: 0.007302 || Task Loss: 0.1162 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1130|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:51:44 || Estimated Time: 15:55:24
2023-07-20 22:12:16,351 semantic_segmentation INFO: Iters: 33690/50000 || Lr: 0.007298 || Task Loss: 0.1274 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:52:19 || Estimated Time: 15:54:50
2023-07-20 22:12:51,957 semantic_segmentation INFO: Iters: 33700/50000 || Lr: 0.007294 || Task Loss: 0.1266 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:52:55 || Estimated Time: 15:54:15
2023-07-20 22:13:27,417 semantic_segmentation INFO: Iters: 33710/50000 || Lr: 0.007290 || Task Loss: 0.1136 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:53:31 || Estimated Time: 15:53:40
2023-07-20 22:14:03,491 semantic_segmentation INFO: Iters: 33720/50000 || Lr: 0.007286 || Task Loss: 0.1352 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0841|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:54:07 || Estimated Time: 15:53:05
2023-07-20 22:14:38,857 semantic_segmentation INFO: Iters: 33730/50000 || Lr: 0.007282 || Task Loss: 0.1146 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:54:42 || Estimated Time: 15:52:30
2023-07-20 22:15:14,953 semantic_segmentation INFO: Iters: 33740/50000 || Lr: 0.007278 || Task Loss: 0.1029 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:55:18 || Estimated Time: 15:51:55
2023-07-20 22:15:50,776 semantic_segmentation INFO: Iters: 33750/50000 || Lr: 0.007274 || Task Loss: 0.1233 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:55:54 || Estimated Time: 15:51:21
2023-07-20 22:16:26,578 semantic_segmentation INFO: Iters: 33760/50000 || Lr: 0.007270 || Task Loss: 0.1137 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:56:30 || Estimated Time: 15:50:46
2023-07-20 22:17:02,392 semantic_segmentation INFO: Iters: 33770/50000 || Lr: 0.007266 || Task Loss: 0.1148 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:57:05 || Estimated Time: 15:50:11
2023-07-20 22:17:38,214 semantic_segmentation INFO: Iters: 33780/50000 || Lr: 0.007262 || Task Loss: 0.1129 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:57:41 || Estimated Time: 15:49:36
2023-07-20 22:18:13,976 semantic_segmentation INFO: Iters: 33790/50000 || Lr: 0.007257 || Task Loss: 0.1259 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0774|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:58:17 || Estimated Time: 15:49:01
2023-07-20 22:18:49,649 semantic_segmentation INFO: Iters: 33800/50000 || Lr: 0.007253 || Task Loss: 0.1017 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:58:53 || Estimated Time: 15:48:27
2023-07-20 22:19:25,431 semantic_segmentation INFO: Iters: 33810/50000 || Lr: 0.007249 || Task Loss: 0.1266 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:59:29 || Estimated Time: 15:47:52
2023-07-20 22:20:01,696 semantic_segmentation INFO: Iters: 33820/50000 || Lr: 0.007245 || Task Loss: 0.1179 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:00:05 || Estimated Time: 15:47:17
2023-07-20 22:20:37,139 semantic_segmentation INFO: Iters: 33830/50000 || Lr: 0.007241 || Task Loss: 0.0984 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:00:40 || Estimated Time: 15:46:42
2023-07-20 22:21:12,737 semantic_segmentation INFO: Iters: 33840/50000 || Lr: 0.007237 || Task Loss: 0.1127 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1112|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:01:16 || Estimated Time: 15:46:07
2023-07-20 22:21:49,140 semantic_segmentation INFO: Iters: 33850/50000 || Lr: 0.007233 || Task Loss: 0.1044 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:01:52 || Estimated Time: 15:45:33
2023-07-20 22:22:24,823 semantic_segmentation INFO: Iters: 33860/50000 || Lr: 0.007229 || Task Loss: 0.1078 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1084|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:02:28 || Estimated Time: 15:44:58
2023-07-20 22:23:00,629 semantic_segmentation INFO: Iters: 33870/50000 || Lr: 0.007225 || Task Loss: 0.1183 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:03:04 || Estimated Time: 15:44:23
2023-07-20 22:23:36,511 semantic_segmentation INFO: Iters: 33880/50000 || Lr: 0.007221 || Task Loss: 0.1128 || KD Loss: 0.0349|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:03:40 || Estimated Time: 15:43:48
2023-07-20 22:24:12,198 semantic_segmentation INFO: Iters: 33890/50000 || Lr: 0.007217 || Task Loss: 0.1098 || KD Loss: 0.0387|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1173|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:04:15 || Estimated Time: 15:43:13
2023-07-20 22:24:48,081 semantic_segmentation INFO: Iters: 33900/50000 || Lr: 0.007213 || Task Loss: 0.1112 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0844|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:04:51 || Estimated Time: 15:42:39
2023-07-20 22:25:23,904 semantic_segmentation INFO: Iters: 33910/50000 || Lr: 0.007209 || Task Loss: 0.1034 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:05:27 || Estimated Time: 15:42:04
2023-07-20 22:25:59,796 semantic_segmentation INFO: Iters: 33920/50000 || Lr: 0.007205 || Task Loss: 0.1266 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:06:03 || Estimated Time: 15:41:29
2023-07-20 22:26:35,901 semantic_segmentation INFO: Iters: 33930/50000 || Lr: 0.007201 || Task Loss: 0.1046 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:06:39 || Estimated Time: 15:40:54
2023-07-20 22:27:11,591 semantic_segmentation INFO: Iters: 33940/50000 || Lr: 0.007197 || Task Loss: 0.1299 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:07:15 || Estimated Time: 15:40:20
2023-07-20 22:27:47,182 semantic_segmentation INFO: Iters: 33950/50000 || Lr: 0.007193 || Task Loss: 0.1098 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:07:50 || Estimated Time: 15:39:45
2023-07-20 22:28:22,852 semantic_segmentation INFO: Iters: 33960/50000 || Lr: 0.007189 || Task Loss: 0.1038 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:08:26 || Estimated Time: 15:39:10
2023-07-20 22:28:59,230 semantic_segmentation INFO: Iters: 33970/50000 || Lr: 0.007185 || Task Loss: 0.1000 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:09:02 || Estimated Time: 15:38:35
2023-07-20 22:29:34,579 semantic_segmentation INFO: Iters: 33980/50000 || Lr: 0.007181 || Task Loss: 0.1300 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:09:38 || Estimated Time: 15:38:00
2023-07-20 22:30:10,749 semantic_segmentation INFO: Iters: 33990/50000 || Lr: 0.007177 || Task Loss: 0.1063 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:10:14 || Estimated Time: 15:37:26
2023-07-20 22:30:46,503 semantic_segmentation INFO: Iters: 34000/50000 || Lr: 0.007173 || Task Loss: 0.1292 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:10:50 || Estimated Time: 15:36:51
2023-07-20 22:31:22,427 semantic_segmentation INFO: Iters: 34010/50000 || Lr: 0.007169 || Task Loss: 0.1053 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:11:26 || Estimated Time: 15:36:16
2023-07-20 22:31:58,066 semantic_segmentation INFO: Iters: 34020/50000 || Lr: 0.007165 || Task Loss: 0.1121 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:12:01 || Estimated Time: 15:35:41
2023-07-20 22:32:34,052 semantic_segmentation INFO: Iters: 34030/50000 || Lr: 0.007161 || Task Loss: 0.0948 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:12:37 || Estimated Time: 15:35:06
2023-07-20 22:33:09,798 semantic_segmentation INFO: Iters: 34040/50000 || Lr: 0.007157 || Task Loss: 0.1270 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0879|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:13:13 || Estimated Time: 15:34:31
2023-07-20 22:33:45,934 semantic_segmentation INFO: Iters: 34050/50000 || Lr: 0.007153 || Task Loss: 0.1043 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:13:49 || Estimated Time: 15:33:57
2023-07-20 22:34:21,478 semantic_segmentation INFO: Iters: 34060/50000 || Lr: 0.007149 || Task Loss: 0.1183 || KD Loss: 0.0357|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:14:25 || Estimated Time: 15:33:22
2023-07-20 22:34:57,361 semantic_segmentation INFO: Iters: 34070/50000 || Lr: 0.007145 || Task Loss: 0.1046 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:15:00 || Estimated Time: 15:32:47
2023-07-20 22:35:33,004 semantic_segmentation INFO: Iters: 34080/50000 || Lr: 0.007141 || Task Loss: 0.1195 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:15:36 || Estimated Time: 15:32:12
2023-07-20 22:36:09,074 semantic_segmentation INFO: Iters: 34090/50000 || Lr: 0.007136 || Task Loss: 0.0952 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:16:12 || Estimated Time: 15:31:38
2023-07-20 22:36:45,216 semantic_segmentation INFO: Iters: 34100/50000 || Lr: 0.007132 || Task Loss: 0.1011 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0830|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:16:48 || Estimated Time: 15:31:03
2023-07-20 22:37:21,163 semantic_segmentation INFO: Iters: 34110/50000 || Lr: 0.007128 || Task Loss: 0.1093 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:17:24 || Estimated Time: 15:30:28
2023-07-20 22:37:57,198 semantic_segmentation INFO: Iters: 34120/50000 || Lr: 0.007124 || Task Loss: 0.1079 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:18:00 || Estimated Time: 15:29:53
2023-07-20 22:38:33,075 semantic_segmentation INFO: Iters: 34130/50000 || Lr: 0.007120 || Task Loss: 0.1034 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:18:36 || Estimated Time: 15:29:19
2023-07-20 22:39:08,964 semantic_segmentation INFO: Iters: 34140/50000 || Lr: 0.007116 || Task Loss: 0.1106 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:19:12 || Estimated Time: 15:28:44
2023-07-20 22:39:45,011 semantic_segmentation INFO: Iters: 34150/50000 || Lr: 0.007112 || Task Loss: 0.1135 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1182|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:19:48 || Estimated Time: 15:28:09
2023-07-20 22:40:21,006 semantic_segmentation INFO: Iters: 34160/50000 || Lr: 0.007108 || Task Loss: 0.1098 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:20:24 || Estimated Time: 15:27:34
2023-07-20 22:40:57,109 semantic_segmentation INFO: Iters: 34170/50000 || Lr: 0.007104 || Task Loss: 0.0860 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:21:00 || Estimated Time: 15:27:00
2023-07-20 22:41:33,347 semantic_segmentation INFO: Iters: 34180/50000 || Lr: 0.007100 || Task Loss: 0.1117 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:21:36 || Estimated Time: 15:26:25
2023-07-20 22:42:09,310 semantic_segmentation INFO: Iters: 34190/50000 || Lr: 0.007096 || Task Loss: 0.1252 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:22:12 || Estimated Time: 15:25:50
2023-07-20 22:42:45,653 semantic_segmentation INFO: Iters: 34200/50000 || Lr: 0.007092 || Task Loss: 0.1193 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0819|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:22:49 || Estimated Time: 15:25:16
2023-07-20 22:43:21,959 semantic_segmentation INFO: Iters: 34210/50000 || Lr: 0.007088 || Task Loss: 0.0905 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:23:25 || Estimated Time: 15:24:41
2023-07-20 22:43:58,173 semantic_segmentation INFO: Iters: 34220/50000 || Lr: 0.007084 || Task Loss: 0.1096 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:24:01 || Estimated Time: 15:24:06
2023-07-20 22:44:33,863 semantic_segmentation INFO: Iters: 34230/50000 || Lr: 0.007080 || Task Loss: 0.1045 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:24:37 || Estimated Time: 15:23:32
2023-07-20 22:45:09,886 semantic_segmentation INFO: Iters: 34240/50000 || Lr: 0.007076 || Task Loss: 0.1135 || KD Loss: 0.0354|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:25:13 || Estimated Time: 15:22:57
2023-07-20 22:45:46,133 semantic_segmentation INFO: Iters: 34250/50000 || Lr: 0.007072 || Task Loss: 0.1124 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:25:49 || Estimated Time: 15:22:22
2023-07-20 22:46:21,927 semantic_segmentation INFO: Iters: 34260/50000 || Lr: 0.007068 || Task Loss: 0.1027 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:26:25 || Estimated Time: 15:21:47
2023-07-20 22:46:58,194 semantic_segmentation INFO: Iters: 34270/50000 || Lr: 0.007064 || Task Loss: 0.1061 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:27:01 || Estimated Time: 15:21:13
2023-07-20 22:47:34,063 semantic_segmentation INFO: Iters: 34280/50000 || Lr: 0.007060 || Task Loss: 0.1198 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0833|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:27:37 || Estimated Time: 15:20:38
2023-07-20 22:48:10,436 semantic_segmentation INFO: Iters: 34290/50000 || Lr: 0.007056 || Task Loss: 0.1081 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0868|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:28:14 || Estimated Time: 15:20:03
2023-07-20 22:48:46,487 semantic_segmentation INFO: Iters: 34300/50000 || Lr: 0.007052 || Task Loss: 0.1099 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:28:50 || Estimated Time: 15:19:29
2023-07-20 22:49:22,353 semantic_segmentation INFO: Iters: 34310/50000 || Lr: 0.007048 || Task Loss: 0.1082 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:29:25 || Estimated Time: 15:18:54
2023-07-20 22:49:58,377 semantic_segmentation INFO: Iters: 34320/50000 || Lr: 0.007044 || Task Loss: 0.1095 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1157|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:30:01 || Estimated Time: 15:18:19
2023-07-20 22:50:34,912 semantic_segmentation INFO: Iters: 34330/50000 || Lr: 0.007040 || Task Loss: 0.0998 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:30:38 || Estimated Time: 15:17:45
2023-07-20 22:51:11,129 semantic_segmentation INFO: Iters: 34340/50000 || Lr: 0.007035 || Task Loss: 0.1091 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:31:14 || Estimated Time: 15:17:10
2023-07-20 22:51:46,951 semantic_segmentation INFO: Iters: 34350/50000 || Lr: 0.007031 || Task Loss: 0.1185 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:31:50 || Estimated Time: 15:16:35
2023-07-20 22:52:22,993 semantic_segmentation INFO: Iters: 34360/50000 || Lr: 0.007027 || Task Loss: 0.1085 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:32:26 || Estimated Time: 15:16:00
2023-07-20 22:52:58,870 semantic_segmentation INFO: Iters: 34370/50000 || Lr: 0.007023 || Task Loss: 0.0926 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:33:02 || Estimated Time: 15:15:26
2023-07-20 22:53:35,333 semantic_segmentation INFO: Iters: 34380/50000 || Lr: 0.007019 || Task Loss: 0.1074 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1158|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:33:38 || Estimated Time: 15:14:51
2023-07-20 22:54:11,521 semantic_segmentation INFO: Iters: 34390/50000 || Lr: 0.007015 || Task Loss: 0.1002 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0850|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:34:15 || Estimated Time: 15:14:16
2023-07-20 22:54:47,385 semantic_segmentation INFO: Iters: 34400/50000 || Lr: 0.007011 || Task Loss: 0.1048 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:34:50 || Estimated Time: 15:13:42
2023-07-20 22:54:47,449 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 22:54:47,811 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.959, mIoU: 0.707
2023-07-20 22:54:47,832 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.715
2023-07-20 22:54:47,856 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.713
2023-07-20 22:54:47,869 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.709
2023-07-20 22:54:47,883 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.705
2023-07-20 22:54:47,896 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.960, mIoU: 0.705
2023-07-20 22:54:47,909 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-20 22:54:47,922 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-20 22:54:47,936 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.704
2023-07-20 22:54:47,950 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.704
2023-07-20 22:54:47,964 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.704
2023-07-20 22:54:47,978 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-20 22:54:47,992 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-20 22:54:48,005 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-20 22:54:48,019 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-20 22:54:48,033 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.958, mIoU: 0.702
2023-07-20 22:54:48,047 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-20 22:54:48,061 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-20 22:54:48,075 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.697
2023-07-20 22:54:48,088 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-20 22:54:48,102 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.955, mIoU: 0.694
2023-07-20 22:54:48,116 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-20 22:54:48,129 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-20 22:54:48,143 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-20 22:54:48,158 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 22:54:48,172 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 22:54:48,186 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 22:54:48,200 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-20 22:54:48,215 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 22:54:48,229 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 22:54:48,243 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.690
2023-07-20 22:54:48,257 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-20 22:54:48,272 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-20 22:54:48,286 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.693
2023-07-20 22:54:48,300 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-20 22:54:48,314 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-20 22:54:48,329 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.694
2023-07-20 22:54:48,343 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.694
2023-07-20 22:54:48,358 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-20 22:54:48,373 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.696
2023-07-20 22:54:48,387 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.697
2023-07-20 22:54:48,402 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.698
2023-07-20 22:54:48,416 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.700
2023-07-20 22:54:48,431 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.701
2023-07-20 22:54:48,445 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.702
2023-07-20 22:54:48,460 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 22:54:48,475 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-20 22:54:48,489 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-20 22:54:48,503 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.707
2023-07-20 22:54:48,519 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.707
2023-07-20 22:54:48,534 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-20 22:54:48,549 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-20 22:54:48,564 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-20 22:54:48,579 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-20 22:54:48,594 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-20 22:54:48,609 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-20 22:54:48,624 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-20 22:54:48,639 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-20 22:54:48,654 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-20 22:54:48,669 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-20 22:54:48,684 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-20 22:54:48,699 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-20 22:54:48,714 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-20 22:54:48,729 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-20 22:54:48,744 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-20 22:54:48,760 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-20 22:54:48,775 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-20 22:54:48,789 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.713
2023-07-20 22:54:48,803 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.941, mIoU: 0.713
2023-07-20 22:54:48,818 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 22:54:48,832 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-20 22:54:48,847 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 22:54:48,861 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-20 22:54:48,876 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 22:54:48,891 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-20 22:54:48,906 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-20 22:54:48,921 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-20 22:54:48,936 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-20 22:54:48,951 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-20 22:54:48,967 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-20 22:54:48,982 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 22:54:48,998 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-20 22:54:49,013 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-20 22:54:49,029 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.704
2023-07-20 22:54:49,044 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.703
2023-07-20 22:54:49,060 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.934, mIoU: 0.703
2023-07-20 22:54:49,075 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.702
2023-07-20 22:54:49,090 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 22:54:49,106 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-20 22:54:49,121 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.933, mIoU: 0.698
2023-07-20 22:54:49,136 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.933, mIoU: 0.698
2023-07-20 22:54:49,150 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-20 22:54:49,164 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-20 22:54:49,178 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.934, mIoU: 0.698
2023-07-20 22:54:49,192 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.934, mIoU: 0.698
2023-07-20 22:54:49,207 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 22:54:49,221 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-20 22:54:49,235 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 22:54:49,249 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 22:54:49,263 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 22:54:49,277 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-20 22:55:25,715 semantic_segmentation INFO: Iters: 34410/50000 || Lr: 0.007007 || Task Loss: 0.1021 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:35:29 || Estimated Time: 15:13:08
2023-07-20 22:56:01,876 semantic_segmentation INFO: Iters: 34420/50000 || Lr: 0.007003 || Task Loss: 0.1034 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:36:05 || Estimated Time: 15:12:33
2023-07-20 22:56:37,966 semantic_segmentation INFO: Iters: 34430/50000 || Lr: 0.006999 || Task Loss: 0.0989 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:36:41 || Estimated Time: 15:11:58
2023-07-20 22:57:14,219 semantic_segmentation INFO: Iters: 34440/50000 || Lr: 0.006995 || Task Loss: 0.1050 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:37:17 || Estimated Time: 15:11:24
2023-07-20 22:57:50,083 semantic_segmentation INFO: Iters: 34450/50000 || Lr: 0.006991 || Task Loss: 0.1076 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:37:53 || Estimated Time: 15:10:49
2023-07-20 22:58:26,171 semantic_segmentation INFO: Iters: 34460/50000 || Lr: 0.006987 || Task Loss: 0.1052 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:38:29 || Estimated Time: 15:10:14
2023-07-20 22:59:02,668 semantic_segmentation INFO: Iters: 34470/50000 || Lr: 0.006983 || Task Loss: 0.1193 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0885|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:39:06 || Estimated Time: 15:09:40
2023-07-20 22:59:38,766 semantic_segmentation INFO: Iters: 34480/50000 || Lr: 0.006979 || Task Loss: 0.1168 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:39:42 || Estimated Time: 15:09:05
2023-07-20 23:00:15,095 semantic_segmentation INFO: Iters: 34490/50000 || Lr: 0.006975 || Task Loss: 0.0997 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1143|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:40:18 || Estimated Time: 15:08:30
2023-07-20 23:00:51,177 semantic_segmentation INFO: Iters: 34500/50000 || Lr: 0.006971 || Task Loss: 0.1129 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:40:54 || Estimated Time: 15:07:56
2023-07-20 23:01:27,256 semantic_segmentation INFO: Iters: 34510/50000 || Lr: 0.006967 || Task Loss: 0.1051 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:41:30 || Estimated Time: 15:07:21
2023-07-20 23:02:03,575 semantic_segmentation INFO: Iters: 34520/50000 || Lr: 0.006963 || Task Loss: 0.1070 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:42:07 || Estimated Time: 15:06:46
2023-07-20 23:02:39,636 semantic_segmentation INFO: Iters: 34530/50000 || Lr: 0.006959 || Task Loss: 0.1026 || KD Loss: 0.0259|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0811|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:42:43 || Estimated Time: 15:06:12
2023-07-20 23:03:16,381 semantic_segmentation INFO: Iters: 34540/50000 || Lr: 0.006955 || Task Loss: 0.1033 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:43:19 || Estimated Time: 15:05:37
2023-07-20 23:03:52,491 semantic_segmentation INFO: Iters: 34550/50000 || Lr: 0.006951 || Task Loss: 0.1036 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0866|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:43:56 || Estimated Time: 15:05:03
2023-07-20 23:04:28,695 semantic_segmentation INFO: Iters: 34560/50000 || Lr: 0.006946 || Task Loss: 0.1159 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:44:32 || Estimated Time: 15:04:28
2023-07-20 23:05:04,989 semantic_segmentation INFO: Iters: 34570/50000 || Lr: 0.006942 || Task Loss: 0.1146 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:45:08 || Estimated Time: 15:03:53
2023-07-20 23:05:41,235 semantic_segmentation INFO: Iters: 34580/50000 || Lr: 0.006938 || Task Loss: 0.1088 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:45:44 || Estimated Time: 15:03:19
2023-07-20 23:06:17,682 semantic_segmentation INFO: Iters: 34590/50000 || Lr: 0.006934 || Task Loss: 0.1203 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:46:21 || Estimated Time: 15:02:44
2023-07-20 23:06:53,713 semantic_segmentation INFO: Iters: 34600/50000 || Lr: 0.006930 || Task Loss: 0.1200 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0843|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:46:57 || Estimated Time: 15:02:09
2023-07-20 23:07:30,245 semantic_segmentation INFO: Iters: 34610/50000 || Lr: 0.006926 || Task Loss: 0.1097 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:47:33 || Estimated Time: 15:01:35
2023-07-20 23:08:06,260 semantic_segmentation INFO: Iters: 34620/50000 || Lr: 0.006922 || Task Loss: 0.1007 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:48:09 || Estimated Time: 15:01:00
2023-07-20 23:08:43,052 semantic_segmentation INFO: Iters: 34630/50000 || Lr: 0.006918 || Task Loss: 0.1179 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0903|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:48:46 || Estimated Time: 15:00:25
2023-07-20 23:09:18,871 semantic_segmentation INFO: Iters: 34640/50000 || Lr: 0.006914 || Task Loss: 0.1102 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:49:22 || Estimated Time: 14:59:51
2023-07-20 23:09:55,292 semantic_segmentation INFO: Iters: 34650/50000 || Lr: 0.006910 || Task Loss: 0.0905 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:49:58 || Estimated Time: 14:59:16
2023-07-20 23:10:31,410 semantic_segmentation INFO: Iters: 34660/50000 || Lr: 0.006906 || Task Loss: 0.1173 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:50:35 || Estimated Time: 14:58:41
2023-07-20 23:11:07,465 semantic_segmentation INFO: Iters: 34670/50000 || Lr: 0.006902 || Task Loss: 0.1032 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:51:11 || Estimated Time: 14:58:07
2023-07-20 23:11:43,837 semantic_segmentation INFO: Iters: 34680/50000 || Lr: 0.006898 || Task Loss: 0.1023 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1135|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:51:47 || Estimated Time: 14:57:32
2023-07-20 23:12:20,607 semantic_segmentation INFO: Iters: 34690/50000 || Lr: 0.006894 || Task Loss: 0.1128 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:52:24 || Estimated Time: 14:56:58
2023-07-20 23:12:57,146 semantic_segmentation INFO: Iters: 34700/50000 || Lr: 0.006890 || Task Loss: 0.0980 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:53:00 || Estimated Time: 14:56:23
2023-07-20 23:13:33,565 semantic_segmentation INFO: Iters: 34710/50000 || Lr: 0.006886 || Task Loss: 0.1073 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:53:37 || Estimated Time: 14:55:48
2023-07-20 23:14:09,798 semantic_segmentation INFO: Iters: 34720/50000 || Lr: 0.006882 || Task Loss: 0.1021 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:54:13 || Estimated Time: 14:55:14
2023-07-20 23:14:45,904 semantic_segmentation INFO: Iters: 34730/50000 || Lr: 0.006878 || Task Loss: 0.1049 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:54:49 || Estimated Time: 14:54:39
2023-07-20 23:15:21,859 semantic_segmentation INFO: Iters: 34740/50000 || Lr: 0.006874 || Task Loss: 0.1044 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:55:25 || Estimated Time: 14:54:04
2023-07-20 23:15:58,453 semantic_segmentation INFO: Iters: 34750/50000 || Lr: 0.006870 || Task Loss: 0.1159 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:56:02 || Estimated Time: 14:53:30
2023-07-20 23:16:34,708 semantic_segmentation INFO: Iters: 34760/50000 || Lr: 0.006865 || Task Loss: 0.1062 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:56:38 || Estimated Time: 14:52:55
2023-07-20 23:17:11,105 semantic_segmentation INFO: Iters: 34770/50000 || Lr: 0.006861 || Task Loss: 0.0992 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:57:14 || Estimated Time: 14:52:20
2023-07-20 23:17:47,375 semantic_segmentation INFO: Iters: 34780/50000 || Lr: 0.006857 || Task Loss: 0.1151 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:57:50 || Estimated Time: 14:51:46
2023-07-20 23:18:23,868 semantic_segmentation INFO: Iters: 34790/50000 || Lr: 0.006853 || Task Loss: 0.1371 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:58:27 || Estimated Time: 14:51:11
2023-07-20 23:19:00,469 semantic_segmentation INFO: Iters: 34800/50000 || Lr: 0.006849 || Task Loss: 0.1141 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1158|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:59:04 || Estimated Time: 14:50:37
2023-07-20 23:19:36,467 semantic_segmentation INFO: Iters: 34810/50000 || Lr: 0.006845 || Task Loss: 0.1090 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:59:40 || Estimated Time: 14:50:02
2023-07-20 23:20:12,683 semantic_segmentation INFO: Iters: 34820/50000 || Lr: 0.006841 || Task Loss: 0.1094 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:00:16 || Estimated Time: 14:49:27
2023-07-20 23:20:49,236 semantic_segmentation INFO: Iters: 34830/50000 || Lr: 0.006837 || Task Loss: 0.0965 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:00:52 || Estimated Time: 14:48:53
2023-07-20 23:21:25,624 semantic_segmentation INFO: Iters: 34840/50000 || Lr: 0.006833 || Task Loss: 0.1184 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:01:29 || Estimated Time: 14:48:18
2023-07-20 23:22:01,949 semantic_segmentation INFO: Iters: 34850/50000 || Lr: 0.006829 || Task Loss: 0.1208 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:02:05 || Estimated Time: 14:47:43
2023-07-20 23:22:38,228 semantic_segmentation INFO: Iters: 34860/50000 || Lr: 0.006825 || Task Loss: 0.0977 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:02:41 || Estimated Time: 14:47:09
2023-07-20 23:23:14,537 semantic_segmentation INFO: Iters: 34870/50000 || Lr: 0.006821 || Task Loss: 0.1033 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:03:18 || Estimated Time: 14:46:34
2023-07-20 23:23:50,975 semantic_segmentation INFO: Iters: 34880/50000 || Lr: 0.006817 || Task Loss: 0.1067 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:03:54 || Estimated Time: 14:45:59
2023-07-20 23:24:27,301 semantic_segmentation INFO: Iters: 34890/50000 || Lr: 0.006813 || Task Loss: 0.1076 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:04:30 || Estimated Time: 14:45:25
2023-07-20 23:25:04,416 semantic_segmentation INFO: Iters: 34900/50000 || Lr: 0.006809 || Task Loss: 0.1229 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:05:08 || Estimated Time: 14:44:50
2023-07-20 23:25:40,721 semantic_segmentation INFO: Iters: 34910/50000 || Lr: 0.006805 || Task Loss: 0.1073 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:05:44 || Estimated Time: 14:44:16
2023-07-20 23:26:17,497 semantic_segmentation INFO: Iters: 34920/50000 || Lr: 0.006801 || Task Loss: 0.0884 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:06:21 || Estimated Time: 14:43:41
2023-07-20 23:26:53,663 semantic_segmentation INFO: Iters: 34930/50000 || Lr: 0.006796 || Task Loss: 0.1149 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:06:57 || Estimated Time: 14:43:07
2023-07-20 23:27:30,290 semantic_segmentation INFO: Iters: 34940/50000 || Lr: 0.006792 || Task Loss: 0.1220 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0834|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:07:33 || Estimated Time: 14:42:32
2023-07-20 23:28:06,505 semantic_segmentation INFO: Iters: 34950/50000 || Lr: 0.006788 || Task Loss: 0.0939 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:08:10 || Estimated Time: 14:41:57
2023-07-20 23:28:42,816 semantic_segmentation INFO: Iters: 34960/50000 || Lr: 0.006784 || Task Loss: 0.1150 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:08:46 || Estimated Time: 14:41:23
2023-07-20 23:29:19,256 semantic_segmentation INFO: Iters: 34970/50000 || Lr: 0.006780 || Task Loss: 0.1068 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:09:22 || Estimated Time: 14:40:48
2023-07-20 23:29:55,543 semantic_segmentation INFO: Iters: 34980/50000 || Lr: 0.006776 || Task Loss: 0.1159 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:09:59 || Estimated Time: 14:40:13
2023-07-20 23:30:32,114 semantic_segmentation INFO: Iters: 34990/50000 || Lr: 0.006772 || Task Loss: 0.0982 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:10:35 || Estimated Time: 14:39:39
2023-07-20 23:31:08,589 semantic_segmentation INFO: Iters: 35000/50000 || Lr: 0.006768 || Task Loss: 0.0972 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:11:12 || Estimated Time: 14:39:04
2023-07-20 23:31:44,918 semantic_segmentation INFO: Iters: 35010/50000 || Lr: 0.006764 || Task Loss: 0.1010 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0907|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:11:48 || Estimated Time: 14:38:30
2023-07-20 23:32:20,937 semantic_segmentation INFO: Iters: 35020/50000 || Lr: 0.006760 || Task Loss: 0.0987 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:12:24 || Estimated Time: 14:37:55
2023-07-20 23:32:57,675 semantic_segmentation INFO: Iters: 35030/50000 || Lr: 0.006756 || Task Loss: 0.1013 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0905|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:13:01 || Estimated Time: 14:37:20
2023-07-20 23:33:34,501 semantic_segmentation INFO: Iters: 35040/50000 || Lr: 0.006752 || Task Loss: 0.1097 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0918|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:13:38 || Estimated Time: 14:36:46
2023-07-20 23:34:10,488 semantic_segmentation INFO: Iters: 35050/50000 || Lr: 0.006748 || Task Loss: 0.1081 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:14:14 || Estimated Time: 14:36:11
2023-07-20 23:34:47,539 semantic_segmentation INFO: Iters: 35060/50000 || Lr: 0.006744 || Task Loss: 0.1158 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:14:51 || Estimated Time: 14:35:37
2023-07-20 23:35:23,680 semantic_segmentation INFO: Iters: 35070/50000 || Lr: 0.006740 || Task Loss: 0.1043 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:15:27 || Estimated Time: 14:35:02
2023-07-20 23:36:00,461 semantic_segmentation INFO: Iters: 35080/50000 || Lr: 0.006736 || Task Loss: 0.1102 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:16:04 || Estimated Time: 14:34:27
2023-07-20 23:36:37,117 semantic_segmentation INFO: Iters: 35090/50000 || Lr: 0.006732 || Task Loss: 0.1188 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:16:40 || Estimated Time: 14:33:53
2023-07-20 23:37:13,644 semantic_segmentation INFO: Iters: 35100/50000 || Lr: 0.006727 || Task Loss: 0.1028 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0856|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:17:17 || Estimated Time: 14:33:18
2023-07-20 23:37:49,621 semantic_segmentation INFO: Iters: 35110/50000 || Lr: 0.006723 || Task Loss: 0.1436 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:17:53 || Estimated Time: 14:32:43
2023-07-20 23:38:26,285 semantic_segmentation INFO: Iters: 35120/50000 || Lr: 0.006719 || Task Loss: 0.1042 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0890|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:18:29 || Estimated Time: 14:32:09
2023-07-20 23:39:03,050 semantic_segmentation INFO: Iters: 35130/50000 || Lr: 0.006715 || Task Loss: 0.1351 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:19:06 || Estimated Time: 14:31:34
2023-07-20 23:39:39,726 semantic_segmentation INFO: Iters: 35140/50000 || Lr: 0.006711 || Task Loss: 0.0984 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:19:43 || Estimated Time: 14:31:00
2023-07-20 23:40:16,003 semantic_segmentation INFO: Iters: 35150/50000 || Lr: 0.006707 || Task Loss: 0.1200 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:20:19 || Estimated Time: 14:30:25
2023-07-20 23:40:52,483 semantic_segmentation INFO: Iters: 35160/50000 || Lr: 0.006703 || Task Loss: 0.0943 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:20:56 || Estimated Time: 14:29:51
2023-07-20 23:41:28,813 semantic_segmentation INFO: Iters: 35170/50000 || Lr: 0.006699 || Task Loss: 0.1074 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:21:32 || Estimated Time: 14:29:16
2023-07-20 23:42:05,453 semantic_segmentation INFO: Iters: 35180/50000 || Lr: 0.006695 || Task Loss: 0.1114 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:22:09 || Estimated Time: 14:28:41
2023-07-20 23:42:41,781 semantic_segmentation INFO: Iters: 35190/50000 || Lr: 0.006691 || Task Loss: 0.1032 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:22:45 || Estimated Time: 14:28:07
2023-07-20 23:43:18,440 semantic_segmentation INFO: Iters: 35200/50000 || Lr: 0.006687 || Task Loss: 0.0934 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1141|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:23:22 || Estimated Time: 14:27:32
2023-07-20 23:43:18,506 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-20 23:43:18,903 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-20 23:43:18,920 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.714
2023-07-20 23:43:18,933 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.710
2023-07-20 23:43:18,946 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.704
2023-07-20 23:43:18,959 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 23:43:18,973 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 23:43:18,986 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 23:43:18,999 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 23:43:19,012 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-20 23:43:19,025 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-20 23:43:19,039 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-20 23:43:19,052 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 23:43:19,065 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 23:43:19,079 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 23:43:19,092 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-20 23:43:19,105 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-20 23:43:19,118 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-20 23:43:19,132 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.694
2023-07-20 23:43:19,146 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.692
2023-07-20 23:43:19,160 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-20 23:43:19,174 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-20 23:43:19,187 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-20 23:43:19,201 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-20 23:43:19,215 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 23:43:19,228 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-20 23:43:19,242 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-20 23:43:19,256 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-20 23:43:19,269 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-20 23:43:19,283 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 23:43:19,297 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-20 23:43:19,310 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-20 23:43:19,324 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-20 23:43:19,338 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-20 23:43:19,352 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-20 23:43:19,366 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-20 23:43:19,380 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-20 23:43:19,395 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.688
2023-07-20 23:43:19,409 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.689
2023-07-20 23:43:19,423 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.690
2023-07-20 23:43:19,437 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.691
2023-07-20 23:43:19,451 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-20 23:43:19,465 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.693
2023-07-20 23:43:19,479 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-20 23:43:19,493 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.697
2023-07-20 23:43:19,507 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.697
2023-07-20 23:43:19,523 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.699
2023-07-20 23:43:19,538 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.701
2023-07-20 23:43:19,553 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.702
2023-07-20 23:43:19,568 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-20 23:43:19,583 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-20 23:43:19,599 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 23:43:19,614 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.703
2023-07-20 23:43:19,628 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-20 23:43:19,643 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 23:43:19,657 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-20 23:43:19,672 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 23:43:19,686 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-20 23:43:19,701 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-20 23:43:19,715 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.705
2023-07-20 23:43:19,730 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-20 23:43:19,744 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-20 23:43:19,759 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-20 23:43:19,774 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.709
2023-07-20 23:43:19,789 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.709
2023-07-20 23:43:19,803 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.710
2023-07-20 23:43:19,818 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.710
2023-07-20 23:43:19,833 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.711
2023-07-20 23:43:19,847 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.712
2023-07-20 23:43:19,861 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.713
2023-07-20 23:43:19,876 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.713
2023-07-20 23:43:19,890 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.713
2023-07-20 23:43:19,904 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-20 23:43:19,918 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-20 23:43:19,933 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-20 23:43:19,948 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-20 23:43:19,963 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-20 23:43:19,978 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-20 23:43:19,993 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-20 23:43:20,008 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-20 23:43:20,023 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 23:43:20,037 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-20 23:43:20,052 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-20 23:43:20,066 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-20 23:43:20,081 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-20 23:43:20,095 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.703
2023-07-20 23:43:20,110 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.934, mIoU: 0.702
2023-07-20 23:43:20,124 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-20 23:43:20,138 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-20 23:43:20,152 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.698
2023-07-20 23:43:20,166 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-20 23:43:20,180 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 23:43:20,195 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 23:43:20,209 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-20 23:43:20,223 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-20 23:43:20,237 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 23:43:20,251 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-20 23:43:20,265 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 23:43:20,279 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-20 23:43:20,293 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-20 23:43:20,307 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.694
2023-07-20 23:43:20,321 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-20 23:43:56,724 semantic_segmentation INFO: Iters: 35210/50000 || Lr: 0.006683 || Task Loss: 0.1047 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:24:00 || Estimated Time: 14:26:58
2023-07-20 23:44:32,938 semantic_segmentation INFO: Iters: 35220/50000 || Lr: 0.006679 || Task Loss: 0.1193 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:24:36 || Estimated Time: 14:26:24
2023-07-20 23:45:09,684 semantic_segmentation INFO: Iters: 35230/50000 || Lr: 0.006675 || Task Loss: 0.1062 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:25:13 || Estimated Time: 14:25:49
2023-07-20 23:45:46,180 semantic_segmentation INFO: Iters: 35240/50000 || Lr: 0.006671 || Task Loss: 0.1108 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0841|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:25:49 || Estimated Time: 14:25:14
2023-07-20 23:46:22,607 semantic_segmentation INFO: Iters: 35250/50000 || Lr: 0.006666 || Task Loss: 0.1096 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1160|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:26:26 || Estimated Time: 14:24:40
2023-07-20 23:46:59,259 semantic_segmentation INFO: Iters: 35260/50000 || Lr: 0.006662 || Task Loss: 0.1142 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:27:02 || Estimated Time: 14:24:05
2023-07-20 23:47:35,721 semantic_segmentation INFO: Iters: 35270/50000 || Lr: 0.006658 || Task Loss: 0.1158 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:27:39 || Estimated Time: 14:23:31
2023-07-20 23:48:12,406 semantic_segmentation INFO: Iters: 35280/50000 || Lr: 0.006654 || Task Loss: 0.1061 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:28:16 || Estimated Time: 14:22:56
2023-07-20 23:48:48,726 semantic_segmentation INFO: Iters: 35290/50000 || Lr: 0.006650 || Task Loss: 0.1109 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:28:52 || Estimated Time: 14:22:21
2023-07-20 23:49:25,265 semantic_segmentation INFO: Iters: 35300/50000 || Lr: 0.006646 || Task Loss: 0.1162 || KD Loss: 0.0259|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:29:28 || Estimated Time: 14:21:47
2023-07-20 23:50:01,700 semantic_segmentation INFO: Iters: 35310/50000 || Lr: 0.006642 || Task Loss: 0.1068 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:30:05 || Estimated Time: 14:21:12
2023-07-20 23:50:38,721 semantic_segmentation INFO: Iters: 35320/50000 || Lr: 0.006638 || Task Loss: 0.0958 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:30:42 || Estimated Time: 14:20:38
2023-07-20 23:51:14,815 semantic_segmentation INFO: Iters: 35330/50000 || Lr: 0.006634 || Task Loss: 0.1137 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0769|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:31:18 || Estimated Time: 14:20:03
2023-07-20 23:51:51,269 semantic_segmentation INFO: Iters: 35340/50000 || Lr: 0.006630 || Task Loss: 0.0966 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:31:54 || Estimated Time: 14:19:28
2023-07-20 23:52:27,775 semantic_segmentation INFO: Iters: 35350/50000 || Lr: 0.006626 || Task Loss: 0.1129 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:32:31 || Estimated Time: 14:18:54
2023-07-20 23:53:04,535 semantic_segmentation INFO: Iters: 35360/50000 || Lr: 0.006622 || Task Loss: 0.0950 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:33:08 || Estimated Time: 14:18:19
2023-07-20 23:53:41,253 semantic_segmentation INFO: Iters: 35370/50000 || Lr: 0.006618 || Task Loss: 0.1190 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:33:44 || Estimated Time: 14:17:44
2023-07-20 23:54:17,798 semantic_segmentation INFO: Iters: 35380/50000 || Lr: 0.006614 || Task Loss: 0.1244 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:34:21 || Estimated Time: 14:17:10
2023-07-20 23:54:53,942 semantic_segmentation INFO: Iters: 35390/50000 || Lr: 0.006610 || Task Loss: 0.1134 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:34:57 || Estimated Time: 14:16:35
2023-07-20 23:55:30,528 semantic_segmentation INFO: Iters: 35400/50000 || Lr: 0.006605 || Task Loss: 0.1121 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:35:34 || Estimated Time: 14:16:01
2023-07-20 23:56:07,527 semantic_segmentation INFO: Iters: 35410/50000 || Lr: 0.006601 || Task Loss: 0.1358 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:36:11 || Estimated Time: 14:15:26
2023-07-20 23:56:43,706 semantic_segmentation INFO: Iters: 35420/50000 || Lr: 0.006597 || Task Loss: 0.1095 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:36:47 || Estimated Time: 14:14:51
2023-07-20 23:57:20,349 semantic_segmentation INFO: Iters: 35430/50000 || Lr: 0.006593 || Task Loss: 0.1171 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0890|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:37:23 || Estimated Time: 14:14:17
2023-07-20 23:57:56,980 semantic_segmentation INFO: Iters: 35440/50000 || Lr: 0.006589 || Task Loss: 0.1221 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:38:00 || Estimated Time: 14:13:42
2023-07-20 23:58:33,234 semantic_segmentation INFO: Iters: 35450/50000 || Lr: 0.006585 || Task Loss: 0.0967 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:38:36 || Estimated Time: 14:13:07
2023-07-20 23:59:09,975 semantic_segmentation INFO: Iters: 35460/50000 || Lr: 0.006581 || Task Loss: 0.1059 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1101|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:39:13 || Estimated Time: 14:12:33
2023-07-20 23:59:47,011 semantic_segmentation INFO: Iters: 35470/50000 || Lr: 0.006577 || Task Loss: 0.1144 || KD Loss: 0.0365|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1174|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:39:50 || Estimated Time: 14:11:58
2023-07-21 00:00:23,744 semantic_segmentation INFO: Iters: 35480/50000 || Lr: 0.006573 || Task Loss: 0.3578 || KD Loss: 0.1014|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:40:27 || Estimated Time: 14:11:24
2023-07-21 00:01:00,255 semantic_segmentation INFO: Iters: 35490/50000 || Lr: 0.006569 || Task Loss: 0.4709 || KD Loss: 0.1743|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:41:03 || Estimated Time: 14:10:49
2023-07-21 00:01:36,606 semantic_segmentation INFO: Iters: 35500/50000 || Lr: 0.006565 || Task Loss: 0.3059 || KD Loss: 0.1217|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:41:40 || Estimated Time: 14:10:15
2023-07-21 00:02:13,587 semantic_segmentation INFO: Iters: 35510/50000 || Lr: 0.006561 || Task Loss: 0.2846 || KD Loss: 0.1193|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1174|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:42:17 || Estimated Time: 14:09:40
2023-07-21 00:02:50,221 semantic_segmentation INFO: Iters: 35520/50000 || Lr: 0.006557 || Task Loss: 0.2615 || KD Loss: 0.1004|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:42:53 || Estimated Time: 14:09:06
2023-07-21 00:03:26,899 semantic_segmentation INFO: Iters: 35530/50000 || Lr: 0.006552 || Task Loss: 0.2751 || KD Loss: 0.0853|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:43:30 || Estimated Time: 14:08:31
2023-07-21 00:04:03,151 semantic_segmentation INFO: Iters: 35540/50000 || Lr: 0.006548 || Task Loss: 0.2144 || KD Loss: 0.0644|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:44:06 || Estimated Time: 14:07:56
2023-07-21 00:04:40,005 semantic_segmentation INFO: Iters: 35550/50000 || Lr: 0.006544 || Task Loss: 0.1784 || KD Loss: 0.0583|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1097|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:44:43 || Estimated Time: 14:07:22
2023-07-21 00:05:16,373 semantic_segmentation INFO: Iters: 35560/50000 || Lr: 0.006540 || Task Loss: 0.1921 || KD Loss: 0.0584|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:45:19 || Estimated Time: 14:06:47
2023-07-21 00:05:53,219 semantic_segmentation INFO: Iters: 35570/50000 || Lr: 0.006536 || Task Loss: 0.1551 || KD Loss: 0.0533|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1140|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:45:56 || Estimated Time: 14:06:12
2023-07-21 00:06:30,083 semantic_segmentation INFO: Iters: 35580/50000 || Lr: 0.006532 || Task Loss: 0.1534 || KD Loss: 0.0538|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:46:33 || Estimated Time: 14:05:38
2023-07-21 00:07:06,321 semantic_segmentation INFO: Iters: 35590/50000 || Lr: 0.006528 || Task Loss: 0.1419 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:47:09 || Estimated Time: 14:05:03
2023-07-21 00:07:43,098 semantic_segmentation INFO: Iters: 35600/50000 || Lr: 0.006524 || Task Loss: 0.1332 || KD Loss: 0.0425|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:47:46 || Estimated Time: 14:04:29
2023-07-21 00:08:19,356 semantic_segmentation INFO: Iters: 35610/50000 || Lr: 0.006520 || Task Loss: 0.1711 || KD Loss: 0.0556|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:48:22 || Estimated Time: 14:03:54
2023-07-21 00:08:56,368 semantic_segmentation INFO: Iters: 35620/50000 || Lr: 0.006516 || Task Loss: 0.1476 || KD Loss: 0.0520|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:48:59 || Estimated Time: 14:03:19
2023-07-21 00:09:33,178 semantic_segmentation INFO: Iters: 35630/50000 || Lr: 0.006512 || Task Loss: 0.1619 || KD Loss: 0.0473|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:49:36 || Estimated Time: 14:02:45
2023-07-21 00:10:09,969 semantic_segmentation INFO: Iters: 35640/50000 || Lr: 0.006508 || Task Loss: 0.1462 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0806|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:50:13 || Estimated Time: 14:02:10
2023-07-21 00:10:46,656 semantic_segmentation INFO: Iters: 35650/50000 || Lr: 0.006504 || Task Loss: 0.1396 || KD Loss: 0.0440|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:50:50 || Estimated Time: 14:01:36
2023-07-21 00:11:22,879 semantic_segmentation INFO: Iters: 35660/50000 || Lr: 0.006499 || Task Loss: 0.1177 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:51:26 || Estimated Time: 14:01:01
2023-07-21 00:11:59,304 semantic_segmentation INFO: Iters: 35670/50000 || Lr: 0.006495 || Task Loss: 0.1348 || KD Loss: 0.0407|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:52:02 || Estimated Time: 14:00:26
2023-07-21 00:12:35,995 semantic_segmentation INFO: Iters: 35680/50000 || Lr: 0.006491 || Task Loss: 0.1206 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:52:39 || Estimated Time: 13:59:52
2023-07-21 00:13:13,036 semantic_segmentation INFO: Iters: 35690/50000 || Lr: 0.006487 || Task Loss: 0.1245 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:53:16 || Estimated Time: 13:59:17
2023-07-21 00:13:49,648 semantic_segmentation INFO: Iters: 35700/50000 || Lr: 0.006483 || Task Loss: 0.1175 || KD Loss: 0.0370|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:53:53 || Estimated Time: 13:58:43
2023-07-21 00:14:26,358 semantic_segmentation INFO: Iters: 35710/50000 || Lr: 0.006479 || Task Loss: 0.1020 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:54:29 || Estimated Time: 13:58:08
2023-07-21 00:15:02,962 semantic_segmentation INFO: Iters: 35720/50000 || Lr: 0.006475 || Task Loss: 0.1117 || KD Loss: 0.0418|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1188|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:55:06 || Estimated Time: 13:57:33
2023-07-21 00:15:39,492 semantic_segmentation INFO: Iters: 35730/50000 || Lr: 0.006471 || Task Loss: 0.1205 || KD Loss: 0.0380|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:55:43 || Estimated Time: 13:56:59
2023-07-21 00:16:16,149 semantic_segmentation INFO: Iters: 35740/50000 || Lr: 0.006467 || Task Loss: 0.1174 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1117|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:56:19 || Estimated Time: 13:56:24
2023-07-21 00:16:52,937 semantic_segmentation INFO: Iters: 35750/50000 || Lr: 0.006463 || Task Loss: 0.1124 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:56:56 || Estimated Time: 13:55:50
2023-07-21 00:17:29,529 semantic_segmentation INFO: Iters: 35760/50000 || Lr: 0.006459 || Task Loss: 0.1167 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:57:33 || Estimated Time: 13:55:15
2023-07-21 00:18:06,144 semantic_segmentation INFO: Iters: 35770/50000 || Lr: 0.006455 || Task Loss: 0.1187 || KD Loss: 0.0366|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:58:09 || Estimated Time: 13:54:40
2023-07-21 00:18:42,846 semantic_segmentation INFO: Iters: 35780/50000 || Lr: 0.006451 || Task Loss: 0.1129 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0941|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:58:46 || Estimated Time: 13:54:06
2023-07-21 00:19:19,838 semantic_segmentation INFO: Iters: 35790/50000 || Lr: 0.006446 || Task Loss: 0.1321 || KD Loss: 0.0410|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:59:23 || Estimated Time: 13:53:31
2023-07-21 00:19:56,195 semantic_segmentation INFO: Iters: 35800/50000 || Lr: 0.006442 || Task Loss: 0.1215 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:59:59 || Estimated Time: 13:52:57
2023-07-21 00:20:32,975 semantic_segmentation INFO: Iters: 35810/50000 || Lr: 0.006438 || Task Loss: 0.1225 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:00:36 || Estimated Time: 13:52:22
2023-07-21 00:21:09,939 semantic_segmentation INFO: Iters: 35820/50000 || Lr: 0.006434 || Task Loss: 0.1342 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:01:13 || Estimated Time: 13:51:47
2023-07-21 00:21:46,699 semantic_segmentation INFO: Iters: 35830/50000 || Lr: 0.006430 || Task Loss: 0.1260 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:01:50 || Estimated Time: 13:51:13
2023-07-21 00:22:23,389 semantic_segmentation INFO: Iters: 35840/50000 || Lr: 0.006426 || Task Loss: 0.1168 || KD Loss: 0.0413|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1145|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:02:26 || Estimated Time: 13:50:38
2023-07-21 00:23:00,375 semantic_segmentation INFO: Iters: 35850/50000 || Lr: 0.006422 || Task Loss: 0.1459 || KD Loss: 0.0351|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0715|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:03:03 || Estimated Time: 13:50:04
2023-07-21 00:23:36,974 semantic_segmentation INFO: Iters: 35860/50000 || Lr: 0.006418 || Task Loss: 0.1231 || KD Loss: 0.0344|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:03:40 || Estimated Time: 13:49:29
2023-07-21 00:24:13,514 semantic_segmentation INFO: Iters: 35870/50000 || Lr: 0.006414 || Task Loss: 0.1425 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:04:17 || Estimated Time: 13:48:55
2023-07-21 00:24:50,508 semantic_segmentation INFO: Iters: 35880/50000 || Lr: 0.006410 || Task Loss: 0.1256 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0804|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:04:54 || Estimated Time: 13:48:20
2023-07-21 00:25:27,324 semantic_segmentation INFO: Iters: 35890/50000 || Lr: 0.006406 || Task Loss: 0.1229 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:05:30 || Estimated Time: 13:47:45
2023-07-21 00:26:04,338 semantic_segmentation INFO: Iters: 35900/50000 || Lr: 0.006402 || Task Loss: 0.1050 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:06:07 || Estimated Time: 13:47:11
2023-07-21 00:26:40,853 semantic_segmentation INFO: Iters: 35910/50000 || Lr: 0.006397 || Task Loss: 0.0977 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:06:44 || Estimated Time: 13:46:36
2023-07-21 00:27:17,542 semantic_segmentation INFO: Iters: 35920/50000 || Lr: 0.006393 || Task Loss: 0.1057 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:07:21 || Estimated Time: 13:46:02
2023-07-21 00:27:54,473 semantic_segmentation INFO: Iters: 35930/50000 || Lr: 0.006389 || Task Loss: 0.1135 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:07:58 || Estimated Time: 13:45:27
2023-07-21 00:28:30,963 semantic_segmentation INFO: Iters: 35940/50000 || Lr: 0.006385 || Task Loss: 0.1288 || KD Loss: 0.0371|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:08:34 || Estimated Time: 13:44:52
2023-07-21 00:29:07,892 semantic_segmentation INFO: Iters: 35950/50000 || Lr: 0.006381 || Task Loss: 0.1205 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:09:11 || Estimated Time: 13:44:18
2023-07-21 00:29:44,782 semantic_segmentation INFO: Iters: 35960/50000 || Lr: 0.006377 || Task Loss: 0.1344 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0787|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:09:48 || Estimated Time: 13:43:43
2023-07-21 00:30:21,409 semantic_segmentation INFO: Iters: 35970/50000 || Lr: 0.006373 || Task Loss: 0.1181 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0814|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:10:25 || Estimated Time: 13:43:09
2023-07-21 00:30:58,260 semantic_segmentation INFO: Iters: 35980/50000 || Lr: 0.006369 || Task Loss: 0.1054 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0821|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:11:01 || Estimated Time: 13:42:34
2023-07-21 00:31:34,898 semantic_segmentation INFO: Iters: 35990/50000 || Lr: 0.006365 || Task Loss: 0.1357 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:11:38 || Estimated Time: 13:42:00
2023-07-21 00:32:11,900 semantic_segmentation INFO: Iters: 36000/50000 || Lr: 0.006361 || Task Loss: 0.1176 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:12:15 || Estimated Time: 13:41:25
2023-07-21 00:32:11,965 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 00:32:12,329 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 00:32:12,362 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.705
2023-07-21 00:32:12,376 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-21 00:32:12,391 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.696
2023-07-21 00:32:12,405 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.690
2023-07-21 00:32:12,420 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.689
2023-07-21 00:32:12,435 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.688
2023-07-21 00:32:12,449 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.959, mIoU: 0.689
2023-07-21 00:32:12,464 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.959, mIoU: 0.689
2023-07-21 00:32:12,479 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.959, mIoU: 0.691
2023-07-21 00:32:12,494 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.959, mIoU: 0.693
2023-07-21 00:32:12,509 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.692
2023-07-21 00:32:12,524 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-21 00:32:12,539 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.694
2023-07-21 00:32:12,555 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.958, mIoU: 0.695
2023-07-21 00:32:12,570 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-21 00:32:12,585 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-21 00:32:12,600 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 00:32:12,615 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-21 00:32:12,630 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-21 00:32:12,644 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 00:32:12,659 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 00:32:12,674 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-21 00:32:12,689 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-21 00:32:12,703 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-21 00:32:12,718 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-21 00:32:12,732 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-21 00:32:12,747 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.952, mIoU: 0.681
2023-07-21 00:32:12,762 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-21 00:32:12,777 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-21 00:32:12,792 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-21 00:32:12,807 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-21 00:32:12,821 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-21 00:32:12,836 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.952, mIoU: 0.686
2023-07-21 00:32:12,851 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.952, mIoU: 0.687
2023-07-21 00:32:12,866 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.951, mIoU: 0.687
2023-07-21 00:32:12,881 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.687
2023-07-21 00:32:12,895 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.688
2023-07-21 00:32:12,910 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-21 00:32:12,925 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-21 00:32:12,940 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.950, mIoU: 0.691
2023-07-21 00:32:12,956 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-21 00:32:12,971 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.694
2023-07-21 00:32:12,986 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-21 00:32:13,001 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.950, mIoU: 0.696
2023-07-21 00:32:13,016 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.950, mIoU: 0.698
2023-07-21 00:32:13,031 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.950, mIoU: 0.699
2023-07-21 00:32:13,046 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.950, mIoU: 0.700
2023-07-21 00:32:13,061 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.950, mIoU: 0.701
2023-07-21 00:32:13,076 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.949, mIoU: 0.701
2023-07-21 00:32:13,091 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.949, mIoU: 0.701
2023-07-21 00:32:13,106 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.948, mIoU: 0.701
2023-07-21 00:32:13,120 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.948, mIoU: 0.701
2023-07-21 00:32:13,135 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.701
2023-07-21 00:32:13,150 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.947, mIoU: 0.701
2023-07-21 00:32:13,164 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.947, mIoU: 0.702
2023-07-21 00:32:13,179 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.702
2023-07-21 00:32:13,194 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.946, mIoU: 0.702
2023-07-21 00:32:13,208 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.946, mIoU: 0.703
2023-07-21 00:32:13,223 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.704
2023-07-21 00:32:13,238 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.945, mIoU: 0.704
2023-07-21 00:32:13,252 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.945, mIoU: 0.705
2023-07-21 00:32:13,267 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.706
2023-07-21 00:32:13,282 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.944, mIoU: 0.707
2023-07-21 00:32:13,296 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.707
2023-07-21 00:32:13,311 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.943, mIoU: 0.708
2023-07-21 00:32:13,326 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.942, mIoU: 0.708
2023-07-21 00:32:13,340 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.942, mIoU: 0.709
2023-07-21 00:32:13,355 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.941, mIoU: 0.710
2023-07-21 00:32:13,370 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.711
2023-07-21 00:32:13,384 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.940, mIoU: 0.711
2023-07-21 00:32:13,399 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.711
2023-07-21 00:32:13,414 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.939, mIoU: 0.710
2023-07-21 00:32:13,428 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.710
2023-07-21 00:32:13,443 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-21 00:32:13,458 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.938, mIoU: 0.708
2023-07-21 00:32:13,472 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.708
2023-07-21 00:32:13,487 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.937, mIoU: 0.707
2023-07-21 00:32:13,501 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.706
2023-07-21 00:32:13,516 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 00:32:13,531 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 00:32:13,545 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 00:32:13,560 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 00:32:13,575 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-21 00:32:13,589 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-21 00:32:13,604 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-21 00:32:13,618 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-21 00:32:13,633 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-21 00:32:13,647 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.698
2023-07-21 00:32:13,662 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-21 00:32:13,676 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-21 00:32:13,690 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-21 00:32:13,705 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-21 00:32:13,719 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.934, mIoU: 0.696
2023-07-21 00:32:13,734 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-21 00:32:13,748 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-21 00:32:13,763 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-21 00:32:13,777 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-21 00:32:13,791 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-21 00:32:13,806 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-21 00:32:13,820 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.694
2023-07-21 00:32:50,852 semantic_segmentation INFO: Iters: 36010/50000 || Lr: 0.006357 || Task Loss: 0.1106 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:12:54 || Estimated Time: 13:40:51
2023-07-21 00:33:27,816 semantic_segmentation INFO: Iters: 36020/50000 || Lr: 0.006352 || Task Loss: 0.1232 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:13:31 || Estimated Time: 13:40:17
2023-07-21 00:34:04,473 semantic_segmentation INFO: Iters: 36030/50000 || Lr: 0.006348 || Task Loss: 0.1195 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:14:08 || Estimated Time: 13:39:42
2023-07-21 00:34:41,132 semantic_segmentation INFO: Iters: 36040/50000 || Lr: 0.006344 || Task Loss: 0.1176 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1119|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:14:44 || Estimated Time: 13:39:07
2023-07-21 00:35:18,359 semantic_segmentation INFO: Iters: 36050/50000 || Lr: 0.006340 || Task Loss: 0.1154 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0907|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:15:21 || Estimated Time: 13:38:33
2023-07-21 00:35:55,038 semantic_segmentation INFO: Iters: 36060/50000 || Lr: 0.006336 || Task Loss: 0.1101 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:15:58 || Estimated Time: 13:37:58
2023-07-21 00:36:31,367 semantic_segmentation INFO: Iters: 36070/50000 || Lr: 0.006332 || Task Loss: 0.1105 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:16:34 || Estimated Time: 13:37:24
2023-07-21 00:37:08,618 semantic_segmentation INFO: Iters: 36080/50000 || Lr: 0.006328 || Task Loss: 0.1094 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:17:12 || Estimated Time: 13:36:49
2023-07-21 00:37:45,508 semantic_segmentation INFO: Iters: 36090/50000 || Lr: 0.006324 || Task Loss: 0.1368 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0791|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:17:49 || Estimated Time: 13:36:15
2023-07-21 00:38:22,328 semantic_segmentation INFO: Iters: 36100/50000 || Lr: 0.006320 || Task Loss: 0.1355 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:18:25 || Estimated Time: 13:35:40
2023-07-21 00:38:58,888 semantic_segmentation INFO: Iters: 36110/50000 || Lr: 0.006316 || Task Loss: 0.1124 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:19:02 || Estimated Time: 13:35:05
2023-07-21 00:39:35,951 semantic_segmentation INFO: Iters: 36120/50000 || Lr: 0.006312 || Task Loss: 0.1138 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0839|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:19:39 || Estimated Time: 13:34:31
2023-07-21 00:40:13,269 semantic_segmentation INFO: Iters: 36130/50000 || Lr: 0.006307 || Task Loss: 0.1263 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:20:16 || Estimated Time: 13:33:56
2023-07-21 00:40:49,936 semantic_segmentation INFO: Iters: 36140/50000 || Lr: 0.006303 || Task Loss: 0.1285 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:20:53 || Estimated Time: 13:33:22
2023-07-21 00:41:26,705 semantic_segmentation INFO: Iters: 36150/50000 || Lr: 0.006299 || Task Loss: 0.1196 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:21:30 || Estimated Time: 13:32:47
2023-07-21 00:42:03,410 semantic_segmentation INFO: Iters: 36160/50000 || Lr: 0.006295 || Task Loss: 0.1165 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:22:07 || Estimated Time: 13:32:13
2023-07-21 00:42:40,544 semantic_segmentation INFO: Iters: 36170/50000 || Lr: 0.006291 || Task Loss: 0.0999 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:22:44 || Estimated Time: 13:31:38
2023-07-21 00:43:17,319 semantic_segmentation INFO: Iters: 36180/50000 || Lr: 0.006287 || Task Loss: 0.1250 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:23:20 || Estimated Time: 13:31:03
2023-07-21 00:43:54,191 semantic_segmentation INFO: Iters: 36190/50000 || Lr: 0.006283 || Task Loss: 0.0939 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:23:57 || Estimated Time: 13:30:29
2023-07-21 00:44:30,976 semantic_segmentation INFO: Iters: 36200/50000 || Lr: 0.006279 || Task Loss: 0.1162 || KD Loss: 0.0385|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1157|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:24:34 || Estimated Time: 13:29:54
2023-07-21 00:45:08,121 semantic_segmentation INFO: Iters: 36210/50000 || Lr: 0.006275 || Task Loss: 0.1180 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:25:11 || Estimated Time: 13:29:20
2023-07-21 00:45:44,839 semantic_segmentation INFO: Iters: 36220/50000 || Lr: 0.006271 || Task Loss: 0.1007 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:25:48 || Estimated Time: 13:28:45
2023-07-21 00:46:21,830 semantic_segmentation INFO: Iters: 36230/50000 || Lr: 0.006267 || Task Loss: 0.1023 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:26:25 || Estimated Time: 13:28:11
2023-07-21 00:46:58,632 semantic_segmentation INFO: Iters: 36240/50000 || Lr: 0.006262 || Task Loss: 0.1129 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:27:02 || Estimated Time: 13:27:36
2023-07-21 00:47:35,785 semantic_segmentation INFO: Iters: 36250/50000 || Lr: 0.006258 || Task Loss: 0.1009 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:27:39 || Estimated Time: 13:27:02
2023-07-21 00:48:12,509 semantic_segmentation INFO: Iters: 36260/50000 || Lr: 0.006254 || Task Loss: 0.1029 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:28:16 || Estimated Time: 13:26:27
2023-07-21 00:48:49,577 semantic_segmentation INFO: Iters: 36270/50000 || Lr: 0.006250 || Task Loss: 0.1100 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0907|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:28:53 || Estimated Time: 13:25:52
2023-07-21 00:49:26,568 semantic_segmentation INFO: Iters: 36280/50000 || Lr: 0.006246 || Task Loss: 0.0856 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:29:30 || Estimated Time: 13:25:18
2023-07-21 00:50:03,875 semantic_segmentation INFO: Iters: 36290/50000 || Lr: 0.006242 || Task Loss: 0.1049 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:30:07 || Estimated Time: 13:24:43
2023-07-21 00:50:40,364 semantic_segmentation INFO: Iters: 36300/50000 || Lr: 0.006238 || Task Loss: 0.1055 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0828|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:30:43 || Estimated Time: 13:24:09
2023-07-21 00:51:17,524 semantic_segmentation INFO: Iters: 36310/50000 || Lr: 0.006234 || Task Loss: 0.1078 || KD Loss: 0.0361|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1098|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:31:21 || Estimated Time: 13:23:34
2023-07-21 00:51:54,467 semantic_segmentation INFO: Iters: 36320/50000 || Lr: 0.006230 || Task Loss: 0.1027 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:31:58 || Estimated Time: 13:23:00
2023-07-21 00:52:31,278 semantic_segmentation INFO: Iters: 36330/50000 || Lr: 0.006226 || Task Loss: 0.1178 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:32:34 || Estimated Time: 13:22:25
2023-07-21 00:53:08,662 semantic_segmentation INFO: Iters: 36340/50000 || Lr: 0.006221 || Task Loss: 0.1315 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:33:12 || Estimated Time: 13:21:51
2023-07-21 00:53:45,578 semantic_segmentation INFO: Iters: 36350/50000 || Lr: 0.006217 || Task Loss: 0.1180 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0842|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:33:49 || Estimated Time: 13:21:16
2023-07-21 00:54:22,273 semantic_segmentation INFO: Iters: 36360/50000 || Lr: 0.006213 || Task Loss: 0.1017 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:34:25 || Estimated Time: 13:20:41
2023-07-21 00:54:59,270 semantic_segmentation INFO: Iters: 36370/50000 || Lr: 0.006209 || Task Loss: 0.1294 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:35:02 || Estimated Time: 13:20:07
2023-07-21 00:55:36,490 semantic_segmentation INFO: Iters: 36380/50000 || Lr: 0.006205 || Task Loss: 0.1078 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:35:40 || Estimated Time: 13:19:32
2023-07-21 00:56:13,702 semantic_segmentation INFO: Iters: 36390/50000 || Lr: 0.006201 || Task Loss: 0.1346 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:36:17 || Estimated Time: 13:18:58
2023-07-21 00:56:50,642 semantic_segmentation INFO: Iters: 36400/50000 || Lr: 0.006197 || Task Loss: 0.1164 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1128|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:36:54 || Estimated Time: 13:18:23
2023-07-21 00:57:27,781 semantic_segmentation INFO: Iters: 36410/50000 || Lr: 0.006193 || Task Loss: 0.1382 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:37:31 || Estimated Time: 13:17:49
2023-07-21 00:58:04,653 semantic_segmentation INFO: Iters: 36420/50000 || Lr: 0.006189 || Task Loss: 0.1184 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1151|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:38:08 || Estimated Time: 13:17:14
2023-07-21 00:58:41,560 semantic_segmentation INFO: Iters: 36430/50000 || Lr: 0.006185 || Task Loss: 0.1244 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:38:45 || Estimated Time: 13:16:40
2023-07-21 00:59:18,395 semantic_segmentation INFO: Iters: 36440/50000 || Lr: 0.006180 || Task Loss: 0.1096 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1099|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:39:21 || Estimated Time: 13:16:05
2023-07-21 00:59:55,418 semantic_segmentation INFO: Iters: 36450/50000 || Lr: 0.006176 || Task Loss: 0.1127 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:39:59 || Estimated Time: 13:15:30
2023-07-21 01:00:32,416 semantic_segmentation INFO: Iters: 36460/50000 || Lr: 0.006172 || Task Loss: 0.1406 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:40:36 || Estimated Time: 13:14:56
2023-07-21 01:01:09,264 semantic_segmentation INFO: Iters: 36470/50000 || Lr: 0.006168 || Task Loss: 0.1272 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0880|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:41:12 || Estimated Time: 13:14:21
2023-07-21 01:01:45,941 semantic_segmentation INFO: Iters: 36480/50000 || Lr: 0.006164 || Task Loss: 0.1172 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0879|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:41:49 || Estimated Time: 13:13:46
2023-07-21 01:02:22,917 semantic_segmentation INFO: Iters: 36490/50000 || Lr: 0.006160 || Task Loss: 0.1169 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:42:26 || Estimated Time: 13:13:12
2023-07-21 01:03:00,240 semantic_segmentation INFO: Iters: 36500/50000 || Lr: 0.006156 || Task Loss: 0.1422 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0840|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:43:03 || Estimated Time: 13:12:37
2023-07-21 01:03:37,006 semantic_segmentation INFO: Iters: 36510/50000 || Lr: 0.006152 || Task Loss: 0.1145 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:43:40 || Estimated Time: 13:12:03
2023-07-21 01:04:14,380 semantic_segmentation INFO: Iters: 36520/50000 || Lr: 0.006148 || Task Loss: 0.1252 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:44:17 || Estimated Time: 13:11:28
2023-07-21 01:04:51,651 semantic_segmentation INFO: Iters: 36530/50000 || Lr: 0.006144 || Task Loss: 0.1187 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:44:55 || Estimated Time: 13:10:54
2023-07-21 01:05:28,047 semantic_segmentation INFO: Iters: 36540/50000 || Lr: 0.006139 || Task Loss: 0.1080 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1154|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:45:31 || Estimated Time: 13:10:19
2023-07-21 01:06:05,085 semantic_segmentation INFO: Iters: 36550/50000 || Lr: 0.006135 || Task Loss: 0.1032 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:46:08 || Estimated Time: 13:09:45
2023-07-21 01:06:41,984 semantic_segmentation INFO: Iters: 36560/50000 || Lr: 0.006131 || Task Loss: 0.1222 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0877|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:46:45 || Estimated Time: 13:09:10
2023-07-21 01:07:18,837 semantic_segmentation INFO: Iters: 36570/50000 || Lr: 0.006127 || Task Loss: 0.1174 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:47:22 || Estimated Time: 13:08:35
2023-07-21 01:07:55,764 semantic_segmentation INFO: Iters: 36580/50000 || Lr: 0.006123 || Task Loss: 0.0912 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:47:59 || Estimated Time: 13:08:01
2023-07-21 01:08:32,934 semantic_segmentation INFO: Iters: 36590/50000 || Lr: 0.006119 || Task Loss: 0.1023 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:48:36 || Estimated Time: 13:07:26
2023-07-21 01:09:09,618 semantic_segmentation INFO: Iters: 36600/50000 || Lr: 0.006115 || Task Loss: 0.1550 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0694|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:49:13 || Estimated Time: 13:06:51
2023-07-21 01:09:47,047 semantic_segmentation INFO: Iters: 36610/50000 || Lr: 0.006111 || Task Loss: 0.1108 || KD Loss: 0.0337|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:49:50 || Estimated Time: 13:06:17
2023-07-21 01:10:24,231 semantic_segmentation INFO: Iters: 36620/50000 || Lr: 0.006107 || Task Loss: 0.1280 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:50:27 || Estimated Time: 13:05:42
2023-07-21 01:11:00,698 semantic_segmentation INFO: Iters: 36630/50000 || Lr: 0.006102 || Task Loss: 0.1282 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0863|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:51:04 || Estimated Time: 13:05:08
2023-07-21 01:11:37,696 semantic_segmentation INFO: Iters: 36640/50000 || Lr: 0.006098 || Task Loss: 0.1288 || KD Loss: 0.0382|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:51:41 || Estimated Time: 13:04:33
2023-07-21 01:12:14,871 semantic_segmentation INFO: Iters: 36650/50000 || Lr: 0.006094 || Task Loss: 0.1285 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:52:18 || Estimated Time: 13:03:59
2023-07-21 01:12:51,834 semantic_segmentation INFO: Iters: 36660/50000 || Lr: 0.006090 || Task Loss: 0.0974 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1098|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:52:55 || Estimated Time: 13:03:24
2023-07-21 01:13:28,610 semantic_segmentation INFO: Iters: 36670/50000 || Lr: 0.006086 || Task Loss: 0.1282 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:53:32 || Estimated Time: 13:02:49
2023-07-21 01:14:05,984 semantic_segmentation INFO: Iters: 36680/50000 || Lr: 0.006082 || Task Loss: 0.1332 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0863|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:54:09 || Estimated Time: 13:02:15
2023-07-21 01:14:42,803 semantic_segmentation INFO: Iters: 36690/50000 || Lr: 0.006078 || Task Loss: 0.1213 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:54:46 || Estimated Time: 13:01:40
2023-07-21 01:15:19,604 semantic_segmentation INFO: Iters: 36700/50000 || Lr: 0.006074 || Task Loss: 0.1145 || KD Loss: 0.0396|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1135|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:55:23 || Estimated Time: 13:01:05
2023-07-21 01:15:56,777 semantic_segmentation INFO: Iters: 36710/50000 || Lr: 0.006070 || Task Loss: 0.1116 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:56:00 || Estimated Time: 13:00:31
2023-07-21 01:16:33,696 semantic_segmentation INFO: Iters: 36720/50000 || Lr: 0.006065 || Task Loss: 0.0982 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:56:37 || Estimated Time: 12:59:56
2023-07-21 01:17:10,425 semantic_segmentation INFO: Iters: 36730/50000 || Lr: 0.006061 || Task Loss: 0.1187 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0866|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:57:14 || Estimated Time: 12:59:22
2023-07-21 01:17:47,451 semantic_segmentation INFO: Iters: 36740/50000 || Lr: 0.006057 || Task Loss: 0.1031 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:57:51 || Estimated Time: 12:58:47
2023-07-21 01:18:24,934 semantic_segmentation INFO: Iters: 36750/50000 || Lr: 0.006053 || Task Loss: 0.0946 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:58:28 || Estimated Time: 12:58:13
2023-07-21 01:19:01,630 semantic_segmentation INFO: Iters: 36760/50000 || Lr: 0.006049 || Task Loss: 0.1133 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:59:05 || Estimated Time: 12:57:38
2023-07-21 01:19:38,965 semantic_segmentation INFO: Iters: 36770/50000 || Lr: 0.006045 || Task Loss: 0.1329 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0811|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:59:42 || Estimated Time: 12:57:03
2023-07-21 01:20:15,521 semantic_segmentation INFO: Iters: 36780/50000 || Lr: 0.006041 || Task Loss: 0.1194 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:00:19 || Estimated Time: 12:56:29
2023-07-21 01:20:53,107 semantic_segmentation INFO: Iters: 36790/50000 || Lr: 0.006037 || Task Loss: 0.1184 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:00:56 || Estimated Time: 12:55:54
2023-07-21 01:21:29,813 semantic_segmentation INFO: Iters: 36800/50000 || Lr: 0.006033 || Task Loss: 0.1317 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:01:33 || Estimated Time: 12:55:20
2023-07-21 01:21:29,878 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 01:21:30,241 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.706
2023-07-21 01:21:30,274 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.714
2023-07-21 01:21:30,289 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.711
2023-07-21 01:21:30,304 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-21 01:21:30,320 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.701
2023-07-21 01:21:30,335 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.700
2023-07-21 01:21:30,350 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.699
2023-07-21 01:21:30,365 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.700
2023-07-21 01:21:30,380 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.699
2023-07-21 01:21:30,395 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.700
2023-07-21 01:21:30,411 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 01:21:30,426 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-21 01:21:30,441 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-21 01:21:30,456 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 01:21:30,471 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-21 01:21:30,486 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-21 01:21:30,500 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.694
2023-07-21 01:21:30,515 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.692
2023-07-21 01:21:30,530 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.690
2023-07-21 01:21:30,545 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.688
2023-07-21 01:21:30,559 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.687
2023-07-21 01:21:30,574 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-21 01:21:30,588 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-21 01:21:30,603 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-21 01:21:30,617 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-21 01:21:30,632 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-21 01:21:30,646 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-21 01:21:30,661 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-21 01:21:30,675 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-21 01:21:30,690 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-21 01:21:30,704 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-21 01:21:30,719 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 01:21:30,734 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 01:21:30,749 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 01:21:30,764 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 01:21:30,779 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-21 01:21:30,793 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-21 01:21:30,808 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-21 01:21:30,822 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-21 01:21:30,837 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-21 01:21:30,851 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-21 01:21:30,866 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 01:21:30,880 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 01:21:30,895 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 01:21:30,909 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.698
2023-07-21 01:21:30,924 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-21 01:21:30,938 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 01:21:30,953 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 01:21:30,967 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.704
2023-07-21 01:21:30,982 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.704
2023-07-21 01:21:30,996 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.704
2023-07-21 01:21:31,011 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.704
2023-07-21 01:21:31,025 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 01:21:31,040 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 01:21:31,054 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-21 01:21:31,069 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-21 01:21:31,083 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-21 01:21:31,098 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.704
2023-07-21 01:21:31,112 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-21 01:21:31,127 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-21 01:21:31,141 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.706
2023-07-21 01:21:31,156 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.707
2023-07-21 01:21:31,170 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.707
2023-07-21 01:21:31,185 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.708
2023-07-21 01:21:31,200 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.709
2023-07-21 01:21:31,214 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.709
2023-07-21 01:21:31,229 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.709
2023-07-21 01:21:31,243 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.710
2023-07-21 01:21:31,258 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.710
2023-07-21 01:21:31,273 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.711
2023-07-21 01:21:31,287 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.712
2023-07-21 01:21:31,302 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.711
2023-07-21 01:21:31,317 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.711
2023-07-21 01:21:31,331 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.710
2023-07-21 01:21:31,346 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.710
2023-07-21 01:21:31,361 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.709
2023-07-21 01:21:31,375 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.708
2023-07-21 01:21:31,390 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.707
2023-07-21 01:21:31,405 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.707
2023-07-21 01:21:31,419 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.706
2023-07-21 01:21:31,434 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 01:21:31,448 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 01:21:31,463 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 01:21:31,478 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 01:21:31,492 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 01:21:31,507 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-21 01:21:31,521 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.701
2023-07-21 01:21:31,536 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-21 01:21:31,550 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-21 01:21:31,564 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-21 01:21:31,579 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-21 01:21:31,593 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-21 01:21:31,608 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.697
2023-07-21 01:21:31,622 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-21 01:21:31,636 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-21 01:21:31,651 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-21 01:21:31,665 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-21 01:21:31,680 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-21 01:21:31,694 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-21 01:21:31,709 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-21 01:21:31,723 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.694
2023-07-21 01:22:08,970 semantic_segmentation INFO: Iters: 36810/50000 || Lr: 0.006028 || Task Loss: 0.1310 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:02:12 || Estimated Time: 12:54:46
2023-07-21 01:22:46,143 semantic_segmentation INFO: Iters: 36820/50000 || Lr: 0.006024 || Task Loss: 0.1126 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:02:49 || Estimated Time: 12:54:11
2023-07-21 01:23:23,031 semantic_segmentation INFO: Iters: 36830/50000 || Lr: 0.006020 || Task Loss: 0.1131 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:03:26 || Estimated Time: 12:53:36
2023-07-21 01:24:00,477 semantic_segmentation INFO: Iters: 36840/50000 || Lr: 0.006016 || Task Loss: 0.1212 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0918|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:04:04 || Estimated Time: 12:53:02
2023-07-21 01:24:37,444 semantic_segmentation INFO: Iters: 36850/50000 || Lr: 0.006012 || Task Loss: 0.1175 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:04:41 || Estimated Time: 12:52:27
2023-07-21 01:25:14,927 semantic_segmentation INFO: Iters: 36860/50000 || Lr: 0.006008 || Task Loss: 0.1060 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:05:18 || Estimated Time: 12:51:53
2023-07-21 01:25:51,559 semantic_segmentation INFO: Iters: 36870/50000 || Lr: 0.006004 || Task Loss: 0.1172 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0905|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:05:55 || Estimated Time: 12:51:18
2023-07-21 01:26:28,611 semantic_segmentation INFO: Iters: 36880/50000 || Lr: 0.006000 || Task Loss: 0.1203 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:06:32 || Estimated Time: 12:50:44
2023-07-21 01:27:05,618 semantic_segmentation INFO: Iters: 36890/50000 || Lr: 0.005996 || Task Loss: 0.1097 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:07:09 || Estimated Time: 12:50:09
2023-07-21 01:27:42,859 semantic_segmentation INFO: Iters: 36900/50000 || Lr: 0.005991 || Task Loss: 0.0993 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:07:46 || Estimated Time: 12:49:34
2023-07-21 01:28:19,905 semantic_segmentation INFO: Iters: 36910/50000 || Lr: 0.005987 || Task Loss: 0.1118 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:08:23 || Estimated Time: 12:49:00
2023-07-21 01:28:56,277 semantic_segmentation INFO: Iters: 36920/50000 || Lr: 0.005983 || Task Loss: 0.1182 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:08:59 || Estimated Time: 12:48:25
2023-07-21 01:29:34,039 semantic_segmentation INFO: Iters: 36930/50000 || Lr: 0.005979 || Task Loss: 0.1070 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0914|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:09:37 || Estimated Time: 12:47:51
2023-07-21 01:30:10,498 semantic_segmentation INFO: Iters: 36940/50000 || Lr: 0.005975 || Task Loss: 0.1115 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:10:14 || Estimated Time: 12:47:16
2023-07-21 01:30:47,375 semantic_segmentation INFO: Iters: 36950/50000 || Lr: 0.005971 || Task Loss: 0.1179 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:10:50 || Estimated Time: 12:46:41
2023-07-21 01:31:24,554 semantic_segmentation INFO: Iters: 36960/50000 || Lr: 0.005967 || Task Loss: 0.1100 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:11:28 || Estimated Time: 12:46:07
2023-07-21 01:32:01,748 semantic_segmentation INFO: Iters: 36970/50000 || Lr: 0.005963 || Task Loss: 0.1290 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:12:05 || Estimated Time: 12:45:32
2023-07-21 01:32:38,846 semantic_segmentation INFO: Iters: 36980/50000 || Lr: 0.005958 || Task Loss: 0.1199 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:12:42 || Estimated Time: 12:44:57
2023-07-21 01:33:15,728 semantic_segmentation INFO: Iters: 36990/50000 || Lr: 0.005954 || Task Loss: 0.1176 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:13:19 || Estimated Time: 12:44:23
2023-07-21 01:33:52,798 semantic_segmentation INFO: Iters: 37000/50000 || Lr: 0.005950 || Task Loss: 0.1116 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0832|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:13:56 || Estimated Time: 12:43:48
2023-07-21 01:34:30,158 semantic_segmentation INFO: Iters: 37010/50000 || Lr: 0.005946 || Task Loss: 0.1061 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:14:33 || Estimated Time: 12:43:14
2023-07-21 01:35:06,777 semantic_segmentation INFO: Iters: 37020/50000 || Lr: 0.005942 || Task Loss: 0.1435 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0813|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:15:10 || Estimated Time: 12:42:39
2023-07-21 01:35:44,235 semantic_segmentation INFO: Iters: 37030/50000 || Lr: 0.005938 || Task Loss: 0.0998 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:15:47 || Estimated Time: 12:42:04
2023-07-21 01:36:21,671 semantic_segmentation INFO: Iters: 37040/50000 || Lr: 0.005934 || Task Loss: 0.1025 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:16:25 || Estimated Time: 12:41:30
2023-07-21 01:36:58,613 semantic_segmentation INFO: Iters: 37050/50000 || Lr: 0.005930 || Task Loss: 0.0946 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:17:02 || Estimated Time: 12:40:55
2023-07-21 01:37:35,098 semantic_segmentation INFO: Iters: 37060/50000 || Lr: 0.005926 || Task Loss: 0.1278 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:17:38 || Estimated Time: 12:40:20
2023-07-21 01:38:12,562 semantic_segmentation INFO: Iters: 37070/50000 || Lr: 0.005921 || Task Loss: 0.1055 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:18:16 || Estimated Time: 12:39:46
2023-07-21 01:38:50,188 semantic_segmentation INFO: Iters: 37080/50000 || Lr: 0.005917 || Task Loss: 0.0962 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1174|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:18:53 || Estimated Time: 12:39:11
2023-07-21 01:39:26,782 semantic_segmentation INFO: Iters: 37090/50000 || Lr: 0.005913 || Task Loss: 0.1064 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:19:30 || Estimated Time: 12:38:37
2023-07-21 01:40:04,617 semantic_segmentation INFO: Iters: 37100/50000 || Lr: 0.005909 || Task Loss: 0.0993 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:20:08 || Estimated Time: 12:38:02
2023-07-21 01:40:41,716 semantic_segmentation INFO: Iters: 37110/50000 || Lr: 0.005905 || Task Loss: 0.1015 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:20:45 || Estimated Time: 12:37:28
2023-07-21 01:41:18,761 semantic_segmentation INFO: Iters: 37120/50000 || Lr: 0.005901 || Task Loss: 0.1155 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:21:22 || Estimated Time: 12:36:53
2023-07-21 01:41:55,604 semantic_segmentation INFO: Iters: 37130/50000 || Lr: 0.005897 || Task Loss: 0.1116 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:21:59 || Estimated Time: 12:36:18
2023-07-21 01:42:32,603 semantic_segmentation INFO: Iters: 37140/50000 || Lr: 0.005893 || Task Loss: 0.1161 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:22:36 || Estimated Time: 12:35:44
2023-07-21 01:43:09,714 semantic_segmentation INFO: Iters: 37150/50000 || Lr: 0.005888 || Task Loss: 0.1104 || KD Loss: 0.0355|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:23:13 || Estimated Time: 12:35:09
2023-07-21 01:43:46,791 semantic_segmentation INFO: Iters: 37160/50000 || Lr: 0.005884 || Task Loss: 0.1020 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:23:50 || Estimated Time: 12:34:34
2023-07-21 01:44:24,394 semantic_segmentation INFO: Iters: 37170/50000 || Lr: 0.005880 || Task Loss: 0.1222 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:24:27 || Estimated Time: 12:34:00
2023-07-21 01:45:01,125 semantic_segmentation INFO: Iters: 37180/50000 || Lr: 0.005876 || Task Loss: 0.1045 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:25:04 || Estimated Time: 12:33:25
2023-07-21 01:45:38,513 semantic_segmentation INFO: Iters: 37190/50000 || Lr: 0.005872 || Task Loss: 0.1067 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:25:42 || Estimated Time: 12:32:51
2023-07-21 01:46:15,455 semantic_segmentation INFO: Iters: 37200/50000 || Lr: 0.005868 || Task Loss: 0.1183 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:26:19 || Estimated Time: 12:32:16
2023-07-21 01:46:52,087 semantic_segmentation INFO: Iters: 37210/50000 || Lr: 0.005864 || Task Loss: 0.1038 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1052|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:26:55 || Estimated Time: 12:31:41
2023-07-21 01:47:29,556 semantic_segmentation INFO: Iters: 37220/50000 || Lr: 0.005860 || Task Loss: 0.1199 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:27:33 || Estimated Time: 12:31:07
2023-07-21 01:48:06,852 semantic_segmentation INFO: Iters: 37230/50000 || Lr: 0.005855 || Task Loss: 0.1092 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:28:10 || Estimated Time: 12:30:32
2023-07-21 01:48:43,755 semantic_segmentation INFO: Iters: 37240/50000 || Lr: 0.005851 || Task Loss: 0.1123 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:28:47 || Estimated Time: 12:29:57
2023-07-21 01:49:20,790 semantic_segmentation INFO: Iters: 37250/50000 || Lr: 0.005847 || Task Loss: 0.1029 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:29:24 || Estimated Time: 12:29:23
2023-07-21 01:49:57,813 semantic_segmentation INFO: Iters: 37260/50000 || Lr: 0.005843 || Task Loss: 0.1117 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:30:01 || Estimated Time: 12:28:48
2023-07-21 01:50:34,932 semantic_segmentation INFO: Iters: 37270/50000 || Lr: 0.005839 || Task Loss: 0.0912 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:30:38 || Estimated Time: 12:28:13
2023-07-21 01:51:12,106 semantic_segmentation INFO: Iters: 37280/50000 || Lr: 0.005835 || Task Loss: 0.1133 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0844|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:31:15 || Estimated Time: 12:27:39
2023-07-21 01:51:48,879 semantic_segmentation INFO: Iters: 37290/50000 || Lr: 0.005831 || Task Loss: 0.1217 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0850|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:31:52 || Estimated Time: 12:27:04
2023-07-21 01:52:26,061 semantic_segmentation INFO: Iters: 37300/50000 || Lr: 0.005827 || Task Loss: 0.1099 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:32:29 || Estimated Time: 12:26:29
2023-07-21 01:53:03,562 semantic_segmentation INFO: Iters: 37310/50000 || Lr: 0.005822 || Task Loss: 0.1131 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0914|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:33:07 || Estimated Time: 12:25:55
2023-07-21 01:53:40,207 semantic_segmentation INFO: Iters: 37320/50000 || Lr: 0.005818 || Task Loss: 0.1207 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:33:43 || Estimated Time: 12:25:20
2023-07-21 01:54:17,345 semantic_segmentation INFO: Iters: 37330/50000 || Lr: 0.005814 || Task Loss: 0.1269 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:34:20 || Estimated Time: 12:24:46
2023-07-21 01:54:54,537 semantic_segmentation INFO: Iters: 37340/50000 || Lr: 0.005810 || Task Loss: 0.1083 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:34:58 || Estimated Time: 12:24:11
2023-07-21 01:55:31,624 semantic_segmentation INFO: Iters: 37350/50000 || Lr: 0.005806 || Task Loss: 0.1054 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:35:35 || Estimated Time: 12:23:36
2023-07-21 01:56:08,713 semantic_segmentation INFO: Iters: 37360/50000 || Lr: 0.005802 || Task Loss: 0.1131 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:36:12 || Estimated Time: 12:23:02
2023-07-21 01:56:46,219 semantic_segmentation INFO: Iters: 37370/50000 || Lr: 0.005798 || Task Loss: 0.1041 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:36:49 || Estimated Time: 12:22:27
2023-07-21 01:57:23,337 semantic_segmentation INFO: Iters: 37380/50000 || Lr: 0.005794 || Task Loss: 0.1014 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:37:26 || Estimated Time: 12:21:52
2023-07-21 01:58:00,135 semantic_segmentation INFO: Iters: 37390/50000 || Lr: 0.005789 || Task Loss: 0.0958 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:38:03 || Estimated Time: 12:21:18
2023-07-21 01:58:37,917 semantic_segmentation INFO: Iters: 37400/50000 || Lr: 0.005785 || Task Loss: 0.1065 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:38:41 || Estimated Time: 12:20:43
2023-07-21 01:59:14,695 semantic_segmentation INFO: Iters: 37410/50000 || Lr: 0.005781 || Task Loss: 0.1159 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:39:18 || Estimated Time: 12:20:08
2023-07-21 01:59:51,512 semantic_segmentation INFO: Iters: 37420/50000 || Lr: 0.005777 || Task Loss: 0.1338 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:39:55 || Estimated Time: 12:19:34
2023-07-21 02:00:28,773 semantic_segmentation INFO: Iters: 37430/50000 || Lr: 0.005773 || Task Loss: 0.1100 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:40:32 || Estimated Time: 12:18:59
2023-07-21 02:01:05,754 semantic_segmentation INFO: Iters: 37440/50000 || Lr: 0.005769 || Task Loss: 0.1344 || KD Loss: 0.0412|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:41:09 || Estimated Time: 12:18:24
2023-07-21 02:01:42,899 semantic_segmentation INFO: Iters: 37450/50000 || Lr: 0.005765 || Task Loss: 0.1068 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1139|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:41:46 || Estimated Time: 12:17:50
2023-07-21 02:02:20,097 semantic_segmentation INFO: Iters: 37460/50000 || Lr: 0.005760 || Task Loss: 0.0958 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:42:23 || Estimated Time: 12:17:15
2023-07-21 02:02:57,218 semantic_segmentation INFO: Iters: 37470/50000 || Lr: 0.005756 || Task Loss: 0.1122 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:43:00 || Estimated Time: 12:16:40
2023-07-21 02:03:34,655 semantic_segmentation INFO: Iters: 37480/50000 || Lr: 0.005752 || Task Loss: 0.1138 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:43:38 || Estimated Time: 12:16:06
2023-07-21 02:04:11,576 semantic_segmentation INFO: Iters: 37490/50000 || Lr: 0.005748 || Task Loss: 0.1252 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:44:15 || Estimated Time: 12:15:31
2023-07-21 02:04:48,512 semantic_segmentation INFO: Iters: 37500/50000 || Lr: 0.005744 || Task Loss: 0.1187 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:44:52 || Estimated Time: 12:14:56
2023-07-21 02:05:25,781 semantic_segmentation INFO: Iters: 37510/50000 || Lr: 0.005740 || Task Loss: 0.1026 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:45:29 || Estimated Time: 12:14:22
2023-07-21 02:06:03,076 semantic_segmentation INFO: Iters: 37520/50000 || Lr: 0.005736 || Task Loss: 0.1224 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:46:06 || Estimated Time: 12:13:47
2023-07-21 02:06:40,893 semantic_segmentation INFO: Iters: 37530/50000 || Lr: 0.005731 || Task Loss: 0.1122 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:46:44 || Estimated Time: 12:13:13
2023-07-21 02:07:17,661 semantic_segmentation INFO: Iters: 37540/50000 || Lr: 0.005727 || Task Loss: 0.1147 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:47:21 || Estimated Time: 12:12:38
2023-07-21 02:07:55,039 semantic_segmentation INFO: Iters: 37550/50000 || Lr: 0.005723 || Task Loss: 0.1126 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:47:58 || Estimated Time: 12:12:03
2023-07-21 02:08:32,408 semantic_segmentation INFO: Iters: 37560/50000 || Lr: 0.005719 || Task Loss: 0.1231 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0866|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:48:36 || Estimated Time: 12:11:29
2023-07-21 02:09:09,965 semantic_segmentation INFO: Iters: 37570/50000 || Lr: 0.005715 || Task Loss: 0.0959 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:49:13 || Estimated Time: 12:10:54
2023-07-21 02:09:47,223 semantic_segmentation INFO: Iters: 37580/50000 || Lr: 0.005711 || Task Loss: 0.1254 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0796|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:49:50 || Estimated Time: 12:10:20
2023-07-21 02:10:24,122 semantic_segmentation INFO: Iters: 37590/50000 || Lr: 0.005707 || Task Loss: 0.1066 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:50:27 || Estimated Time: 12:09:45
2023-07-21 02:11:01,418 semantic_segmentation INFO: Iters: 37600/50000 || Lr: 0.005703 || Task Loss: 0.1169 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1059|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:51:05 || Estimated Time: 12:09:10
2023-07-21 02:11:01,485 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 02:11:01,883 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.711
2023-07-21 02:11:01,897 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.715
2023-07-21 02:11:01,912 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.711
2023-07-21 02:11:01,926 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.705
2023-07-21 02:11:01,940 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 02:11:01,954 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 02:11:01,969 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 02:11:01,983 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 02:11:01,997 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 02:11:02,011 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 02:11:02,027 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.703
2023-07-21 02:11:02,042 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 02:11:02,057 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-21 02:11:02,072 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-21 02:11:02,087 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-21 02:11:02,102 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 02:11:02,117 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-21 02:11:02,132 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-21 02:11:02,147 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.697
2023-07-21 02:11:02,162 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-21 02:11:02,178 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-21 02:11:02,193 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-21 02:11:02,208 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 02:11:02,223 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 02:11:02,238 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 02:11:02,253 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 02:11:02,269 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 02:11:02,284 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 02:11:02,299 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 02:11:02,314 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 02:11:02,328 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 02:11:02,343 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 02:11:02,358 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-21 02:11:02,372 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.692
2023-07-21 02:11:02,387 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.694
2023-07-21 02:11:02,401 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.693
2023-07-21 02:11:02,416 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-21 02:11:02,430 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 02:11:02,445 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-21 02:11:02,460 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 02:11:02,474 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 02:11:02,489 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 02:11:02,503 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 02:11:02,518 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 02:11:02,533 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 02:11:02,547 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 02:11:02,562 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-21 02:11:02,576 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.707
2023-07-21 02:11:02,591 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.708
2023-07-21 02:11:02,605 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.707
2023-07-21 02:11:02,620 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.708
2023-07-21 02:11:02,634 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.707
2023-07-21 02:11:02,649 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-21 02:11:02,663 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-21 02:11:02,678 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 02:11:02,692 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 02:11:02,707 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.708
2023-07-21 02:11:02,721 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 02:11:02,736 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 02:11:02,750 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-21 02:11:02,765 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-21 02:11:02,780 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-21 02:11:02,794 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 02:11:02,809 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-21 02:11:02,823 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 02:11:02,838 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 02:11:02,852 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-21 02:11:02,867 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-21 02:11:02,882 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.713
2023-07-21 02:11:02,897 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-21 02:11:02,911 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 02:11:02,926 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 02:11:02,940 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-21 02:11:02,955 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-21 02:11:02,969 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 02:11:02,984 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 02:11:02,998 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 02:11:03,013 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 02:11:03,027 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 02:11:03,042 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 02:11:03,057 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-21 02:11:03,071 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 02:11:03,086 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 02:11:03,100 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 02:11:03,115 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 02:11:03,129 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 02:11:03,143 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-21 02:11:03,158 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 02:11:03,172 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-21 02:11:03,186 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-21 02:11:03,201 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.698
2023-07-21 02:11:03,215 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.698
2023-07-21 02:11:03,230 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-21 02:11:03,244 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-21 02:11:03,258 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-21 02:11:03,272 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-21 02:11:03,287 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.698
2023-07-21 02:11:03,301 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-21 02:11:03,315 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-21 02:11:03,330 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.695
2023-07-21 02:11:03,344 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.694
2023-07-21 02:11:40,630 semantic_segmentation INFO: Iters: 37610/50000 || Lr: 0.005698 || Task Loss: 0.1059 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0850|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:51:44 || Estimated Time: 12:08:36
2023-07-21 02:12:18,107 semantic_segmentation INFO: Iters: 37620/50000 || Lr: 0.005694 || Task Loss: 0.1132 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:52:21 || Estimated Time: 12:08:02
2023-07-21 02:12:54,866 semantic_segmentation INFO: Iters: 37630/50000 || Lr: 0.005690 || Task Loss: 0.1116 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:52:58 || Estimated Time: 12:07:27
2023-07-21 02:13:31,940 semantic_segmentation INFO: Iters: 37640/50000 || Lr: 0.005686 || Task Loss: 0.1109 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:53:35 || Estimated Time: 12:06:52
2023-07-21 02:14:09,452 semantic_segmentation INFO: Iters: 37650/50000 || Lr: 0.005682 || Task Loss: 0.1284 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:54:13 || Estimated Time: 12:06:18
2023-07-21 02:14:46,916 semantic_segmentation INFO: Iters: 37660/50000 || Lr: 0.005678 || Task Loss: 0.1155 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:54:50 || Estimated Time: 12:05:43
2023-07-21 02:15:23,519 semantic_segmentation INFO: Iters: 37670/50000 || Lr: 0.005674 || Task Loss: 0.1393 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:55:27 || Estimated Time: 12:05:08
2023-07-21 02:16:00,756 semantic_segmentation INFO: Iters: 37680/50000 || Lr: 0.005669 || Task Loss: 0.1045 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:56:04 || Estimated Time: 12:04:34
2023-07-21 02:16:37,806 semantic_segmentation INFO: Iters: 37690/50000 || Lr: 0.005665 || Task Loss: 0.1057 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:56:41 || Estimated Time: 12:03:59
2023-07-21 02:17:15,440 semantic_segmentation INFO: Iters: 37700/50000 || Lr: 0.005661 || Task Loss: 0.0995 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:57:19 || Estimated Time: 12:03:24
2023-07-21 02:17:52,426 semantic_segmentation INFO: Iters: 37710/50000 || Lr: 0.005657 || Task Loss: 0.1102 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:57:56 || Estimated Time: 12:02:50
2023-07-21 02:18:29,423 semantic_segmentation INFO: Iters: 37720/50000 || Lr: 0.005653 || Task Loss: 0.1245 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:58:33 || Estimated Time: 12:02:15
2023-07-21 02:19:06,647 semantic_segmentation INFO: Iters: 37730/50000 || Lr: 0.005649 || Task Loss: 0.1204 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0793|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:59:10 || Estimated Time: 12:01:40
2023-07-21 02:19:43,856 semantic_segmentation INFO: Iters: 37740/50000 || Lr: 0.005645 || Task Loss: 0.1256 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:59:47 || Estimated Time: 12:01:06
2023-07-21 02:20:20,804 semantic_segmentation INFO: Iters: 37750/50000 || Lr: 0.005640 || Task Loss: 0.1088 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:00:24 || Estimated Time: 12:00:31
2023-07-21 02:20:58,210 semantic_segmentation INFO: Iters: 37760/50000 || Lr: 0.005636 || Task Loss: 0.1012 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:01:01 || Estimated Time: 11:59:56
2023-07-21 02:21:35,695 semantic_segmentation INFO: Iters: 37770/50000 || Lr: 0.005632 || Task Loss: 0.0869 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:01:39 || Estimated Time: 11:59:22
2023-07-21 02:22:12,738 semantic_segmentation INFO: Iters: 37780/50000 || Lr: 0.005628 || Task Loss: 0.1075 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:02:16 || Estimated Time: 11:58:47
2023-07-21 02:22:49,537 semantic_segmentation INFO: Iters: 37790/50000 || Lr: 0.005624 || Task Loss: 0.1207 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:02:53 || Estimated Time: 11:58:12
2023-07-21 02:23:26,488 semantic_segmentation INFO: Iters: 37800/50000 || Lr: 0.005620 || Task Loss: 0.1095 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:03:30 || Estimated Time: 11:57:37
2023-07-21 02:24:04,238 semantic_segmentation INFO: Iters: 37810/50000 || Lr: 0.005616 || Task Loss: 0.1110 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:04:07 || Estimated Time: 11:57:03
2023-07-21 02:24:41,278 semantic_segmentation INFO: Iters: 37820/50000 || Lr: 0.005611 || Task Loss: 0.1028 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:04:44 || Estimated Time: 11:56:28
2023-07-21 02:25:18,710 semantic_segmentation INFO: Iters: 37830/50000 || Lr: 0.005607 || Task Loss: 0.1040 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:05:22 || Estimated Time: 11:55:54
2023-07-21 02:25:56,051 semantic_segmentation INFO: Iters: 37840/50000 || Lr: 0.005603 || Task Loss: 0.1248 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:05:59 || Estimated Time: 11:55:19
2023-07-21 02:26:33,390 semantic_segmentation INFO: Iters: 37850/50000 || Lr: 0.005599 || Task Loss: 0.0952 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:06:36 || Estimated Time: 11:54:44
2023-07-21 02:27:10,593 semantic_segmentation INFO: Iters: 37860/50000 || Lr: 0.005595 || Task Loss: 0.1005 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:07:14 || Estimated Time: 11:54:10
2023-07-21 02:27:47,806 semantic_segmentation INFO: Iters: 37870/50000 || Lr: 0.005591 || Task Loss: 0.1241 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:07:51 || Estimated Time: 11:53:35
2023-07-21 02:28:25,162 semantic_segmentation INFO: Iters: 37880/50000 || Lr: 0.005587 || Task Loss: 0.0993 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:08:28 || Estimated Time: 11:53:00
2023-07-21 02:29:02,785 semantic_segmentation INFO: Iters: 37890/50000 || Lr: 0.005582 || Task Loss: 0.1208 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:09:06 || Estimated Time: 11:52:26
2023-07-21 02:29:40,325 semantic_segmentation INFO: Iters: 37900/50000 || Lr: 0.005578 || Task Loss: 0.1114 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:09:43 || Estimated Time: 11:51:51
2023-07-21 02:30:17,453 semantic_segmentation INFO: Iters: 37910/50000 || Lr: 0.005574 || Task Loss: 0.1129 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:10:21 || Estimated Time: 11:51:16
2023-07-21 02:30:54,496 semantic_segmentation INFO: Iters: 37920/50000 || Lr: 0.005570 || Task Loss: 0.1240 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:10:58 || Estimated Time: 11:50:42
2023-07-21 02:31:32,298 semantic_segmentation INFO: Iters: 37930/50000 || Lr: 0.005566 || Task Loss: 0.1030 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:11:35 || Estimated Time: 11:50:07
2023-07-21 02:32:09,402 semantic_segmentation INFO: Iters: 37940/50000 || Lr: 0.005562 || Task Loss: 0.1143 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1066|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:12:13 || Estimated Time: 11:49:32
2023-07-21 02:32:46,762 semantic_segmentation INFO: Iters: 37950/50000 || Lr: 0.005557 || Task Loss: 0.1044 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:12:50 || Estimated Time: 11:48:58
2023-07-21 02:33:24,124 semantic_segmentation INFO: Iters: 37960/50000 || Lr: 0.005553 || Task Loss: 0.0923 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:13:27 || Estimated Time: 11:48:23
2023-07-21 02:34:00,926 semantic_segmentation INFO: Iters: 37970/50000 || Lr: 0.005549 || Task Loss: 0.1203 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0868|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:14:04 || Estimated Time: 11:47:48
2023-07-21 02:34:38,452 semantic_segmentation INFO: Iters: 37980/50000 || Lr: 0.005545 || Task Loss: 0.1185 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:14:42 || Estimated Time: 11:47:14
2023-07-21 02:35:15,526 semantic_segmentation INFO: Iters: 37990/50000 || Lr: 0.005541 || Task Loss: 0.1330 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0767|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:15:19 || Estimated Time: 11:46:39
2023-07-21 02:35:52,416 semantic_segmentation INFO: Iters: 38000/50000 || Lr: 0.005537 || Task Loss: 0.1110 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:15:56 || Estimated Time: 11:46:04
2023-07-21 02:36:30,060 semantic_segmentation INFO: Iters: 38010/50000 || Lr: 0.005533 || Task Loss: 0.1094 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:16:33 || Estimated Time: 11:45:30
2023-07-21 02:37:07,033 semantic_segmentation INFO: Iters: 38020/50000 || Lr: 0.005528 || Task Loss: 0.1062 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0849|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:17:10 || Estimated Time: 11:44:55
2023-07-21 02:37:44,481 semantic_segmentation INFO: Iters: 38030/50000 || Lr: 0.005524 || Task Loss: 0.1300 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0843|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:17:48 || Estimated Time: 11:44:20
2023-07-21 02:38:21,512 semantic_segmentation INFO: Iters: 38040/50000 || Lr: 0.005520 || Task Loss: 0.1166 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:18:25 || Estimated Time: 11:43:45
2023-07-21 02:38:58,944 semantic_segmentation INFO: Iters: 38050/50000 || Lr: 0.005516 || Task Loss: 0.1017 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:19:02 || Estimated Time: 11:43:11
2023-07-21 02:39:36,259 semantic_segmentation INFO: Iters: 38060/50000 || Lr: 0.005512 || Task Loss: 0.0937 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1104|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:19:39 || Estimated Time: 11:42:36
2023-07-21 02:40:13,682 semantic_segmentation INFO: Iters: 38070/50000 || Lr: 0.005508 || Task Loss: 0.1052 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:20:17 || Estimated Time: 11:42:01
2023-07-21 02:40:50,711 semantic_segmentation INFO: Iters: 38080/50000 || Lr: 0.005503 || Task Loss: 0.1060 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:20:54 || Estimated Time: 11:41:27
2023-07-21 02:41:28,194 semantic_segmentation INFO: Iters: 38090/50000 || Lr: 0.005499 || Task Loss: 0.1167 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:21:31 || Estimated Time: 11:40:52
2023-07-21 02:42:05,063 semantic_segmentation INFO: Iters: 38100/50000 || Lr: 0.005495 || Task Loss: 0.1292 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:22:08 || Estimated Time: 11:40:17
2023-07-21 02:42:42,664 semantic_segmentation INFO: Iters: 38110/50000 || Lr: 0.005491 || Task Loss: 0.1167 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:22:46 || Estimated Time: 11:39:43
2023-07-21 02:43:19,879 semantic_segmentation INFO: Iters: 38120/50000 || Lr: 0.005487 || Task Loss: 0.1240 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:23:23 || Estimated Time: 11:39:08
2023-07-21 02:43:57,294 semantic_segmentation INFO: Iters: 38130/50000 || Lr: 0.005483 || Task Loss: 0.0915 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1096|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:24:00 || Estimated Time: 11:38:33
2023-07-21 02:44:34,744 semantic_segmentation INFO: Iters: 38140/50000 || Lr: 0.005479 || Task Loss: 0.0907 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:24:38 || Estimated Time: 11:37:59
2023-07-21 02:45:12,299 semantic_segmentation INFO: Iters: 38150/50000 || Lr: 0.005474 || Task Loss: 0.1026 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:25:15 || Estimated Time: 11:37:24
2023-07-21 02:45:49,195 semantic_segmentation INFO: Iters: 38160/50000 || Lr: 0.005470 || Task Loss: 0.1077 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:25:52 || Estimated Time: 11:36:49
2023-07-21 02:46:26,274 semantic_segmentation INFO: Iters: 38170/50000 || Lr: 0.005466 || Task Loss: 0.1001 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:26:29 || Estimated Time: 11:36:14
2023-07-21 02:47:03,734 semantic_segmentation INFO: Iters: 38180/50000 || Lr: 0.005462 || Task Loss: 0.1000 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:27:07 || Estimated Time: 11:35:40
2023-07-21 02:47:40,911 semantic_segmentation INFO: Iters: 38190/50000 || Lr: 0.005458 || Task Loss: 0.0991 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:27:44 || Estimated Time: 11:35:05
2023-07-21 02:48:18,321 semantic_segmentation INFO: Iters: 38200/50000 || Lr: 0.005454 || Task Loss: 0.0976 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:28:21 || Estimated Time: 11:34:30
2023-07-21 02:48:55,267 semantic_segmentation INFO: Iters: 38210/50000 || Lr: 0.005449 || Task Loss: 0.1111 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:28:58 || Estimated Time: 11:33:56
2023-07-21 02:49:33,046 semantic_segmentation INFO: Iters: 38220/50000 || Lr: 0.005445 || Task Loss: 0.1115 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0880|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:29:36 || Estimated Time: 11:33:21
2023-07-21 02:50:10,429 semantic_segmentation INFO: Iters: 38230/50000 || Lr: 0.005441 || Task Loss: 0.1109 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:30:14 || Estimated Time: 11:32:46
2023-07-21 02:50:47,837 semantic_segmentation INFO: Iters: 38240/50000 || Lr: 0.005437 || Task Loss: 0.1045 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:30:51 || Estimated Time: 11:32:12
2023-07-21 02:51:24,638 semantic_segmentation INFO: Iters: 38250/50000 || Lr: 0.005433 || Task Loss: 0.1104 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:31:28 || Estimated Time: 11:31:37
2023-07-21 02:52:01,963 semantic_segmentation INFO: Iters: 38260/50000 || Lr: 0.005429 || Task Loss: 0.1286 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:32:05 || Estimated Time: 11:31:02
2023-07-21 02:52:39,313 semantic_segmentation INFO: Iters: 38270/50000 || Lr: 0.005424 || Task Loss: 0.1157 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0850|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:32:42 || Estimated Time: 11:30:27
2023-07-21 02:53:16,553 semantic_segmentation INFO: Iters: 38280/50000 || Lr: 0.005420 || Task Loss: 0.1077 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:33:20 || Estimated Time: 11:29:53
2023-07-21 02:53:54,140 semantic_segmentation INFO: Iters: 38290/50000 || Lr: 0.005416 || Task Loss: 0.0961 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:33:57 || Estimated Time: 11:29:18
2023-07-21 02:54:31,168 semantic_segmentation INFO: Iters: 38300/50000 || Lr: 0.005412 || Task Loss: 0.1077 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:34:34 || Estimated Time: 11:28:43
2023-07-21 02:55:08,611 semantic_segmentation INFO: Iters: 38310/50000 || Lr: 0.005408 || Task Loss: 0.1064 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:35:12 || Estimated Time: 11:28:09
2023-07-21 02:55:46,457 semantic_segmentation INFO: Iters: 38320/50000 || Lr: 0.005404 || Task Loss: 0.1007 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:35:50 || Estimated Time: 11:27:34
2023-07-21 02:56:23,520 semantic_segmentation INFO: Iters: 38330/50000 || Lr: 0.005400 || Task Loss: 0.1055 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:36:27 || Estimated Time: 11:26:59
2023-07-21 02:57:01,365 semantic_segmentation INFO: Iters: 38340/50000 || Lr: 0.005395 || Task Loss: 0.0931 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:37:04 || Estimated Time: 11:26:25
2023-07-21 02:57:38,369 semantic_segmentation INFO: Iters: 38350/50000 || Lr: 0.005391 || Task Loss: 0.1222 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:37:41 || Estimated Time: 11:25:50
2023-07-21 02:58:15,638 semantic_segmentation INFO: Iters: 38360/50000 || Lr: 0.005387 || Task Loss: 0.1053 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:38:19 || Estimated Time: 11:25:15
2023-07-21 02:58:53,075 semantic_segmentation INFO: Iters: 38370/50000 || Lr: 0.005383 || Task Loss: 0.0983 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:38:56 || Estimated Time: 11:24:40
2023-07-21 02:59:30,687 semantic_segmentation INFO: Iters: 38380/50000 || Lr: 0.005379 || Task Loss: 0.1090 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:39:34 || Estimated Time: 11:24:06
2023-07-21 03:00:07,886 semantic_segmentation INFO: Iters: 38390/50000 || Lr: 0.005375 || Task Loss: 0.1240 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0826|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:40:11 || Estimated Time: 11:23:31
2023-07-21 03:00:45,258 semantic_segmentation INFO: Iters: 38400/50000 || Lr: 0.005370 || Task Loss: 0.0825 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:40:48 || Estimated Time: 11:22:56
2023-07-21 03:00:45,332 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 03:00:45,713 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.961, mIoU: 0.705
2023-07-21 03:00:45,737 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.712
2023-07-21 03:00:45,751 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.708
2023-07-21 03:00:45,765 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-21 03:00:45,779 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-21 03:00:45,793 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-21 03:00:45,807 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.960, mIoU: 0.696
2023-07-21 03:00:45,821 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-21 03:00:45,835 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-21 03:00:45,849 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-21 03:00:45,863 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.700
2023-07-21 03:00:45,877 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-21 03:00:45,891 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 03:00:45,905 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-21 03:00:45,919 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-21 03:00:45,934 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.958, mIoU: 0.699
2023-07-21 03:00:45,948 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-21 03:00:45,963 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-21 03:00:45,978 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-21 03:00:45,993 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-21 03:00:46,008 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-21 03:00:46,024 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 03:00:46,039 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 03:00:46,053 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-21 03:00:46,068 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-21 03:00:46,083 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-21 03:00:46,098 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-21 03:00:46,112 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-21 03:00:46,128 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.953, mIoU: 0.685
2023-07-21 03:00:46,143 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-21 03:00:46,158 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-21 03:00:46,174 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-21 03:00:46,189 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-21 03:00:46,205 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.690
2023-07-21 03:00:46,220 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-21 03:00:46,234 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-21 03:00:46,249 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.951, mIoU: 0.691
2023-07-21 03:00:46,264 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-21 03:00:46,279 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-21 03:00:46,293 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.951, mIoU: 0.693
2023-07-21 03:00:46,308 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.695
2023-07-21 03:00:46,323 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.951, mIoU: 0.696
2023-07-21 03:00:46,337 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.951, mIoU: 0.698
2023-07-21 03:00:46,352 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 03:00:46,367 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.700
2023-07-21 03:00:46,381 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.702
2023-07-21 03:00:46,396 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-21 03:00:46,411 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-21 03:00:46,426 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-21 03:00:46,440 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-21 03:00:46,455 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-21 03:00:46,470 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-21 03:00:46,484 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-21 03:00:46,499 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 03:00:46,514 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-21 03:00:46,529 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 03:00:46,543 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-21 03:00:46,558 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-21 03:00:46,573 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 03:00:46,587 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-21 03:00:46,602 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-21 03:00:46,616 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-21 03:00:46,631 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 03:00:46,645 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 03:00:46,660 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 03:00:46,675 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-21 03:00:46,689 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-21 03:00:46,703 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-21 03:00:46,718 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-21 03:00:46,733 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-21 03:00:46,747 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 03:00:46,762 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 03:00:46,776 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 03:00:46,791 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 03:00:46,805 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 03:00:46,820 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-21 03:00:46,834 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 03:00:46,849 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 03:00:46,864 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 03:00:46,878 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-21 03:00:46,893 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 03:00:46,907 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.710
2023-07-21 03:00:46,921 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 03:00:46,936 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-21 03:00:46,950 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-21 03:00:46,965 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-21 03:00:46,979 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-21 03:00:46,994 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 03:00:47,008 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 03:00:47,022 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 03:00:47,036 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 03:00:47,051 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 03:00:47,065 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 03:00:47,079 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 03:00:47,094 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 03:00:47,108 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 03:00:47,122 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 03:00:47,136 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 03:00:47,151 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 03:00:47,165 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 03:00:47,180 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 03:01:24,712 semantic_segmentation INFO: Iters: 38410/50000 || Lr: 0.005366 || Task Loss: 0.1084 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:41:28 || Estimated Time: 11:22:22
2023-07-21 03:02:02,406 semantic_segmentation INFO: Iters: 38420/50000 || Lr: 0.005362 || Task Loss: 0.1183 || KD Loss: 0.0259|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:42:06 || Estimated Time: 11:21:48
2023-07-21 03:02:39,498 semantic_segmentation INFO: Iters: 38430/50000 || Lr: 0.005358 || Task Loss: 0.0950 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:42:43 || Estimated Time: 11:21:13
2023-07-21 03:03:16,762 semantic_segmentation INFO: Iters: 38440/50000 || Lr: 0.005354 || Task Loss: 0.1167 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:43:20 || Estimated Time: 11:20:38
2023-07-21 03:03:54,038 semantic_segmentation INFO: Iters: 38450/50000 || Lr: 0.005350 || Task Loss: 0.0904 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:43:57 || Estimated Time: 11:20:03
2023-07-21 03:04:31,532 semantic_segmentation INFO: Iters: 38460/50000 || Lr: 0.005345 || Task Loss: 0.1102 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0843|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:44:35 || Estimated Time: 11:19:29
2023-07-21 03:05:08,478 semantic_segmentation INFO: Iters: 38470/50000 || Lr: 0.005341 || Task Loss: 0.0966 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:45:12 || Estimated Time: 11:18:54
2023-07-21 03:05:45,747 semantic_segmentation INFO: Iters: 38480/50000 || Lr: 0.005337 || Task Loss: 0.1176 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1091|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:45:49 || Estimated Time: 11:18:19
2023-07-21 03:06:23,243 semantic_segmentation INFO: Iters: 38490/50000 || Lr: 0.005333 || Task Loss: 0.1103 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:46:26 || Estimated Time: 11:17:44
2023-07-21 03:07:00,408 semantic_segmentation INFO: Iters: 38500/50000 || Lr: 0.005329 || Task Loss: 0.1153 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:47:04 || Estimated Time: 11:17:10
2023-07-21 03:07:37,793 semantic_segmentation INFO: Iters: 38510/50000 || Lr: 0.005325 || Task Loss: 0.0957 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1083|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:47:41 || Estimated Time: 11:16:35
2023-07-21 03:08:14,969 semantic_segmentation INFO: Iters: 38520/50000 || Lr: 0.005320 || Task Loss: 0.1057 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:48:18 || Estimated Time: 11:16:00
2023-07-21 03:08:52,787 semantic_segmentation INFO: Iters: 38530/50000 || Lr: 0.005316 || Task Loss: 0.0959 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1069|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:48:56 || Estimated Time: 11:15:26
2023-07-21 03:09:29,988 semantic_segmentation INFO: Iters: 38540/50000 || Lr: 0.005312 || Task Loss: 0.1085 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0811|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:49:33 || Estimated Time: 11:14:51
2023-07-21 03:10:07,615 semantic_segmentation INFO: Iters: 38550/50000 || Lr: 0.005308 || Task Loss: 0.1117 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:50:11 || Estimated Time: 11:14:16
2023-07-21 03:10:44,750 semantic_segmentation INFO: Iters: 38560/50000 || Lr: 0.005304 || Task Loss: 0.1082 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:50:48 || Estimated Time: 11:13:41
2023-07-21 03:11:22,098 semantic_segmentation INFO: Iters: 38570/50000 || Lr: 0.005299 || Task Loss: 0.1038 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:51:25 || Estimated Time: 11:13:07
2023-07-21 03:11:59,558 semantic_segmentation INFO: Iters: 38580/50000 || Lr: 0.005295 || Task Loss: 0.1019 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:52:03 || Estimated Time: 11:12:32
2023-07-21 03:12:36,642 semantic_segmentation INFO: Iters: 38590/50000 || Lr: 0.005291 || Task Loss: 0.1172 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:52:40 || Estimated Time: 11:11:57
2023-07-21 03:13:14,690 semantic_segmentation INFO: Iters: 38600/50000 || Lr: 0.005287 || Task Loss: 0.0889 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1109|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:53:18 || Estimated Time: 11:11:23
2023-07-21 03:13:52,142 semantic_segmentation INFO: Iters: 38610/50000 || Lr: 0.005283 || Task Loss: 0.1150 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:53:55 || Estimated Time: 11:10:48
2023-07-21 03:14:29,493 semantic_segmentation INFO: Iters: 38620/50000 || Lr: 0.005279 || Task Loss: 0.1132 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:54:33 || Estimated Time: 11:10:13
2023-07-21 03:15:06,554 semantic_segmentation INFO: Iters: 38630/50000 || Lr: 0.005274 || Task Loss: 0.1119 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:55:10 || Estimated Time: 11:09:38
2023-07-21 03:15:43,954 semantic_segmentation INFO: Iters: 38640/50000 || Lr: 0.005270 || Task Loss: 0.0948 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0849|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:55:47 || Estimated Time: 11:09:04
2023-07-21 03:16:21,511 semantic_segmentation INFO: Iters: 38650/50000 || Lr: 0.005266 || Task Loss: 0.1103 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:56:25 || Estimated Time: 11:08:29
2023-07-21 03:16:58,479 semantic_segmentation INFO: Iters: 38660/50000 || Lr: 0.005262 || Task Loss: 0.1029 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:57:02 || Estimated Time: 11:07:54
2023-07-21 03:17:36,075 semantic_segmentation INFO: Iters: 38670/50000 || Lr: 0.005258 || Task Loss: 0.1085 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:57:39 || Estimated Time: 11:07:19
2023-07-21 03:18:13,436 semantic_segmentation INFO: Iters: 38680/50000 || Lr: 0.005254 || Task Loss: 0.1164 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:58:17 || Estimated Time: 11:06:45
2023-07-21 03:18:50,378 semantic_segmentation INFO: Iters: 38690/50000 || Lr: 0.005249 || Task Loss: 0.1066 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:58:53 || Estimated Time: 11:06:10
2023-07-21 03:19:27,848 semantic_segmentation INFO: Iters: 38700/50000 || Lr: 0.005245 || Task Loss: 0.1051 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:59:31 || Estimated Time: 11:05:35
2023-07-21 03:20:05,633 semantic_segmentation INFO: Iters: 38710/50000 || Lr: 0.005241 || Task Loss: 0.1100 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:00:09 || Estimated Time: 11:05:00
2023-07-21 03:20:42,727 semantic_segmentation INFO: Iters: 38720/50000 || Lr: 0.005237 || Task Loss: 0.0947 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:00:46 || Estimated Time: 11:04:26
2023-07-21 03:21:20,113 semantic_segmentation INFO: Iters: 38730/50000 || Lr: 0.005233 || Task Loss: 0.1178 || KD Loss: 0.0346|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:01:23 || Estimated Time: 11:03:51
2023-07-21 03:21:57,583 semantic_segmentation INFO: Iters: 38740/50000 || Lr: 0.005228 || Task Loss: 0.0955 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:02:01 || Estimated Time: 11:03:16
2023-07-21 03:22:35,190 semantic_segmentation INFO: Iters: 38750/50000 || Lr: 0.005224 || Task Loss: 0.0950 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1100|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:02:38 || Estimated Time: 11:02:41
2023-07-21 03:23:12,284 semantic_segmentation INFO: Iters: 38760/50000 || Lr: 0.005220 || Task Loss: 0.1068 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:03:15 || Estimated Time: 11:02:07
2023-07-21 03:23:49,428 semantic_segmentation INFO: Iters: 38770/50000 || Lr: 0.005216 || Task Loss: 0.1005 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1113|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:03:53 || Estimated Time: 11:01:32
2023-07-21 03:24:27,112 semantic_segmentation INFO: Iters: 38780/50000 || Lr: 0.005212 || Task Loss: 0.0889 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:04:30 || Estimated Time: 11:00:57
2023-07-21 03:25:04,126 semantic_segmentation INFO: Iters: 38790/50000 || Lr: 0.005208 || Task Loss: 0.1138 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:05:07 || Estimated Time: 11:00:22
2023-07-21 03:25:42,283 semantic_segmentation INFO: Iters: 38800/50000 || Lr: 0.005203 || Task Loss: 0.1034 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:05:45 || Estimated Time: 10:59:48
2023-07-21 03:26:19,465 semantic_segmentation INFO: Iters: 38810/50000 || Lr: 0.005199 || Task Loss: 0.1159 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0811|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:06:23 || Estimated Time: 10:59:13
2023-07-21 03:26:56,543 semantic_segmentation INFO: Iters: 38820/50000 || Lr: 0.005195 || Task Loss: 0.1050 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:07:00 || Estimated Time: 10:58:38
2023-07-21 03:27:33,941 semantic_segmentation INFO: Iters: 38830/50000 || Lr: 0.005191 || Task Loss: 0.1294 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0748|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:07:37 || Estimated Time: 10:58:03
2023-07-21 03:28:11,932 semantic_segmentation INFO: Iters: 38840/50000 || Lr: 0.005187 || Task Loss: 0.0936 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:08:15 || Estimated Time: 10:57:29
2023-07-21 03:28:49,179 semantic_segmentation INFO: Iters: 38850/50000 || Lr: 0.005183 || Task Loss: 0.1136 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0863|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:08:52 || Estimated Time: 10:56:54
2023-07-21 03:29:26,997 semantic_segmentation INFO: Iters: 38860/50000 || Lr: 0.005178 || Task Loss: 0.0943 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:09:30 || Estimated Time: 10:56:19
2023-07-21 03:30:04,140 semantic_segmentation INFO: Iters: 38870/50000 || Lr: 0.005174 || Task Loss: 0.1091 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1106|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:10:07 || Estimated Time: 10:55:44
2023-07-21 03:30:41,722 semantic_segmentation INFO: Iters: 38880/50000 || Lr: 0.005170 || Task Loss: 0.1155 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0823|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:10:45 || Estimated Time: 10:55:10
2023-07-21 03:31:19,245 semantic_segmentation INFO: Iters: 38890/50000 || Lr: 0.005166 || Task Loss: 0.1019 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:11:22 || Estimated Time: 10:54:35
2023-07-21 03:31:56,555 semantic_segmentation INFO: Iters: 38900/50000 || Lr: 0.005162 || Task Loss: 0.1113 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:12:00 || Estimated Time: 10:54:00
2023-07-21 03:32:34,194 semantic_segmentation INFO: Iters: 38910/50000 || Lr: 0.005157 || Task Loss: 0.0956 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:12:37 || Estimated Time: 10:53:25
2023-07-21 03:33:11,250 semantic_segmentation INFO: Iters: 38920/50000 || Lr: 0.005153 || Task Loss: 0.1042 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0905|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:13:14 || Estimated Time: 10:52:51
2023-07-21 03:33:48,417 semantic_segmentation INFO: Iters: 38930/50000 || Lr: 0.005149 || Task Loss: 0.1058 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0855|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:13:52 || Estimated Time: 10:52:16
2023-07-21 03:34:25,737 semantic_segmentation INFO: Iters: 38940/50000 || Lr: 0.005145 || Task Loss: 0.1110 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:14:29 || Estimated Time: 10:51:41
2023-07-21 03:35:02,868 semantic_segmentation INFO: Iters: 38950/50000 || Lr: 0.005141 || Task Loss: 0.0946 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:15:06 || Estimated Time: 10:51:06
2023-07-21 03:35:40,591 semantic_segmentation INFO: Iters: 38960/50000 || Lr: 0.005136 || Task Loss: 0.1012 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:15:44 || Estimated Time: 10:50:31
2023-07-21 03:36:17,976 semantic_segmentation INFO: Iters: 38970/50000 || Lr: 0.005132 || Task Loss: 0.1233 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:16:21 || Estimated Time: 10:49:57
2023-07-21 03:36:55,144 semantic_segmentation INFO: Iters: 38980/50000 || Lr: 0.005128 || Task Loss: 0.1198 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0884|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:16:58 || Estimated Time: 10:49:22
2023-07-21 03:37:32,403 semantic_segmentation INFO: Iters: 38990/50000 || Lr: 0.005124 || Task Loss: 0.0882 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:17:36 || Estimated Time: 10:48:47
2023-07-21 03:38:09,879 semantic_segmentation INFO: Iters: 39000/50000 || Lr: 0.005120 || Task Loss: 0.1102 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:18:13 || Estimated Time: 10:48:12
2023-07-21 03:38:47,640 semantic_segmentation INFO: Iters: 39010/50000 || Lr: 0.005116 || Task Loss: 0.1002 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:18:51 || Estimated Time: 10:47:37
2023-07-21 03:39:24,534 semantic_segmentation INFO: Iters: 39020/50000 || Lr: 0.005111 || Task Loss: 0.0997 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:19:28 || Estimated Time: 10:47:03
2023-07-21 03:40:02,098 semantic_segmentation INFO: Iters: 39030/50000 || Lr: 0.005107 || Task Loss: 0.0860 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:20:05 || Estimated Time: 10:46:28
2023-07-21 03:40:39,301 semantic_segmentation INFO: Iters: 39040/50000 || Lr: 0.005103 || Task Loss: 0.0889 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:20:42 || Estimated Time: 10:45:53
2023-07-21 03:41:16,446 semantic_segmentation INFO: Iters: 39050/50000 || Lr: 0.005099 || Task Loss: 0.1084 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:21:20 || Estimated Time: 10:45:18
2023-07-21 03:41:53,746 semantic_segmentation INFO: Iters: 39060/50000 || Lr: 0.005095 || Task Loss: 0.1102 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:21:57 || Estimated Time: 10:44:43
2023-07-21 03:42:30,699 semantic_segmentation INFO: Iters: 39070/50000 || Lr: 0.005090 || Task Loss: 0.1060 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:22:34 || Estimated Time: 10:44:08
2023-07-21 03:43:07,948 semantic_segmentation INFO: Iters: 39080/50000 || Lr: 0.005086 || Task Loss: 0.1084 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:23:11 || Estimated Time: 10:43:34
2023-07-21 03:43:45,276 semantic_segmentation INFO: Iters: 39090/50000 || Lr: 0.005082 || Task Loss: 0.1043 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:23:48 || Estimated Time: 10:42:59
2023-07-21 03:44:22,159 semantic_segmentation INFO: Iters: 39100/50000 || Lr: 0.005078 || Task Loss: 0.1088 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:24:25 || Estimated Time: 10:42:24
2023-07-21 03:44:59,780 semantic_segmentation INFO: Iters: 39110/50000 || Lr: 0.005074 || Task Loss: 0.1095 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:25:03 || Estimated Time: 10:41:49
2023-07-21 03:45:36,805 semantic_segmentation INFO: Iters: 39120/50000 || Lr: 0.005069 || Task Loss: 0.0988 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:25:40 || Estimated Time: 10:41:14
2023-07-21 03:46:14,145 semantic_segmentation INFO: Iters: 39130/50000 || Lr: 0.005065 || Task Loss: 0.1221 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:26:17 || Estimated Time: 10:40:39
2023-07-21 03:46:51,175 semantic_segmentation INFO: Iters: 39140/50000 || Lr: 0.005061 || Task Loss: 0.0912 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:26:54 || Estimated Time: 10:40:04
2023-07-21 03:47:28,435 semantic_segmentation INFO: Iters: 39150/50000 || Lr: 0.005057 || Task Loss: 0.1220 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:27:32 || Estimated Time: 10:39:30
2023-07-21 03:48:05,185 semantic_segmentation INFO: Iters: 39160/50000 || Lr: 0.005053 || Task Loss: 0.1025 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:28:08 || Estimated Time: 10:38:55
2023-07-21 03:48:42,348 semantic_segmentation INFO: Iters: 39170/50000 || Lr: 0.005048 || Task Loss: 0.1138 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0807|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:28:45 || Estimated Time: 10:38:20
2023-07-21 03:49:19,777 semantic_segmentation INFO: Iters: 39180/50000 || Lr: 0.005044 || Task Loss: 0.1119 || KD Loss: 0.0470|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1247|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:29:23 || Estimated Time: 10:37:45
2023-07-21 03:49:56,787 semantic_segmentation INFO: Iters: 39190/50000 || Lr: 0.005040 || Task Loss: 0.1084 || KD Loss: 0.0392|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1150|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:30:00 || Estimated Time: 10:37:10
2023-07-21 03:50:34,050 semantic_segmentation INFO: Iters: 39200/50000 || Lr: 0.005036 || Task Loss: 0.1245 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:30:37 || Estimated Time: 10:36:35
2023-07-21 03:50:34,120 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 03:50:34,499 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.705
2023-07-21 03:50:34,512 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.710
2023-07-21 03:50:34,525 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.708
2023-07-21 03:50:34,538 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.704
2023-07-21 03:50:34,553 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.700
2023-07-21 03:50:34,567 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.701
2023-07-21 03:50:34,581 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.701
2023-07-21 03:50:34,595 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-21 03:50:34,610 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-21 03:50:34,624 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-21 03:50:34,638 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.704
2023-07-21 03:50:34,652 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 03:50:34,667 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-21 03:50:34,681 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-21 03:50:34,694 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-21 03:50:34,708 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 03:50:34,722 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 03:50:34,738 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-21 03:50:34,753 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-21 03:50:34,768 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-21 03:50:34,784 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-21 03:50:34,799 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.956, mIoU: 0.691
2023-07-21 03:50:34,814 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-21 03:50:34,830 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.955, mIoU: 0.686
2023-07-21 03:50:34,844 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 03:50:34,859 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 03:50:34,873 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 03:50:34,888 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 03:50:34,903 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 03:50:34,918 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 03:50:34,932 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 03:50:34,947 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 03:50:34,962 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 03:50:34,976 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 03:50:34,991 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-21 03:50:35,006 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-21 03:50:35,020 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-21 03:50:35,035 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-21 03:50:35,050 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-21 03:50:35,064 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-21 03:50:35,079 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 03:50:35,093 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 03:50:35,108 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 03:50:35,123 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.699
2023-07-21 03:50:35,138 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 03:50:35,152 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 03:50:35,167 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 03:50:35,182 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 03:50:35,197 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 03:50:35,211 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.704
2023-07-21 03:50:35,226 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.704
2023-07-21 03:50:35,240 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.704
2023-07-21 03:50:35,255 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-21 03:50:35,270 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-21 03:50:35,284 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-21 03:50:35,299 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-21 03:50:35,314 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-21 03:50:35,328 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 03:50:35,343 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-21 03:50:35,358 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 03:50:35,372 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 03:50:35,387 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-21 03:50:35,402 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-21 03:50:35,416 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 03:50:35,431 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-21 03:50:35,446 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 03:50:35,460 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-21 03:50:35,475 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-21 03:50:35,490 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-21 03:50:35,504 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-21 03:50:35,519 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-21 03:50:35,534 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-21 03:50:35,548 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-21 03:50:35,563 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 03:50:35,577 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-21 03:50:35,592 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-21 03:50:35,607 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 03:50:35,621 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-21 03:50:35,636 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 03:50:35,651 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.709
2023-07-21 03:50:35,666 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 03:50:35,680 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-21 03:50:35,695 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 03:50:35,709 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 03:50:35,724 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 03:50:35,739 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 03:50:35,753 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 03:50:35,768 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 03:50:35,782 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-21 03:50:35,797 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 03:50:35,811 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 03:50:35,826 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 03:50:35,840 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 03:50:35,855 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 03:50:35,869 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 03:50:35,883 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 03:50:35,898 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 03:50:35,912 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 03:50:35,926 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 03:50:35,941 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-21 03:50:35,955 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.698
2023-07-21 03:51:12,766 semantic_segmentation INFO: Iters: 39210/50000 || Lr: 0.005032 || Task Loss: 0.1063 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0897|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:31:16 || Estimated Time: 10:36:01
2023-07-21 03:51:49,767 semantic_segmentation INFO: Iters: 39220/50000 || Lr: 0.005027 || Task Loss: 0.1155 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:31:53 || Estimated Time: 10:35:26
2023-07-21 03:52:26,879 semantic_segmentation INFO: Iters: 39230/50000 || Lr: 0.005023 || Task Loss: 0.1151 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:32:30 || Estimated Time: 10:34:51
2023-07-21 03:53:03,606 semantic_segmentation INFO: Iters: 39240/50000 || Lr: 0.005019 || Task Loss: 0.1127 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:33:07 || Estimated Time: 10:34:16
2023-07-21 03:53:40,738 semantic_segmentation INFO: Iters: 39250/50000 || Lr: 0.005015 || Task Loss: 0.1054 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:33:44 || Estimated Time: 10:33:41
2023-07-21 03:54:17,866 semantic_segmentation INFO: Iters: 39260/50000 || Lr: 0.005011 || Task Loss: 0.0934 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:34:21 || Estimated Time: 10:33:06
2023-07-21 03:54:55,320 semantic_segmentation INFO: Iters: 39270/50000 || Lr: 0.005006 || Task Loss: 0.0949 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:34:58 || Estimated Time: 10:32:31
2023-07-21 03:55:32,245 semantic_segmentation INFO: Iters: 39280/50000 || Lr: 0.005002 || Task Loss: 0.1046 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:35:35 || Estimated Time: 10:31:56
2023-07-21 03:56:09,116 semantic_segmentation INFO: Iters: 39290/50000 || Lr: 0.004998 || Task Loss: 0.1168 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:36:12 || Estimated Time: 10:31:22
2023-07-21 03:56:46,262 semantic_segmentation INFO: Iters: 39300/50000 || Lr: 0.004994 || Task Loss: 0.1114 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:36:49 || Estimated Time: 10:30:47
2023-07-21 03:57:23,486 semantic_segmentation INFO: Iters: 39310/50000 || Lr: 0.004990 || Task Loss: 0.1275 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0745|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:37:27 || Estimated Time: 10:30:12
2023-07-21 03:58:00,526 semantic_segmentation INFO: Iters: 39320/50000 || Lr: 0.004985 || Task Loss: 0.1127 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:38:04 || Estimated Time: 10:29:37
2023-07-21 03:58:37,745 semantic_segmentation INFO: Iters: 39330/50000 || Lr: 0.004981 || Task Loss: 0.0985 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:38:41 || Estimated Time: 10:29:02
2023-07-21 03:59:14,621 semantic_segmentation INFO: Iters: 39340/50000 || Lr: 0.004977 || Task Loss: 0.0966 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:39:18 || Estimated Time: 10:28:27
2023-07-21 03:59:51,946 semantic_segmentation INFO: Iters: 39350/50000 || Lr: 0.004973 || Task Loss: 0.1000 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:39:55 || Estimated Time: 10:27:52
2023-07-21 04:00:28,849 semantic_segmentation INFO: Iters: 39360/50000 || Lr: 0.004969 || Task Loss: 0.1091 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:40:32 || Estimated Time: 10:27:17
2023-07-21 04:01:05,518 semantic_segmentation INFO: Iters: 39370/50000 || Lr: 0.004964 || Task Loss: 0.0971 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:41:09 || Estimated Time: 10:26:42
2023-07-21 04:01:43,013 semantic_segmentation INFO: Iters: 39380/50000 || Lr: 0.004960 || Task Loss: 0.1130 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:41:46 || Estimated Time: 10:26:07
2023-07-21 04:02:20,573 semantic_segmentation INFO: Iters: 39390/50000 || Lr: 0.004956 || Task Loss: 0.1061 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:42:24 || Estimated Time: 10:25:33
2023-07-21 04:02:57,558 semantic_segmentation INFO: Iters: 39400/50000 || Lr: 0.004952 || Task Loss: 0.1141 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0868|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:43:01 || Estimated Time: 10:24:58
2023-07-21 04:03:34,543 semantic_segmentation INFO: Iters: 39410/50000 || Lr: 0.004948 || Task Loss: 0.1051 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:43:38 || Estimated Time: 10:24:23
2023-07-21 04:04:11,426 semantic_segmentation INFO: Iters: 39420/50000 || Lr: 0.004943 || Task Loss: 0.1146 || KD Loss: 0.0356|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:44:15 || Estimated Time: 10:23:48
2023-07-21 04:04:48,337 semantic_segmentation INFO: Iters: 39430/50000 || Lr: 0.004939 || Task Loss: 0.1086 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:44:51 || Estimated Time: 10:23:13
2023-07-21 04:05:25,013 semantic_segmentation INFO: Iters: 39440/50000 || Lr: 0.004935 || Task Loss: 0.1001 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:45:28 || Estimated Time: 10:22:38
2023-07-21 04:06:02,006 semantic_segmentation INFO: Iters: 39450/50000 || Lr: 0.004931 || Task Loss: 0.1166 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:46:05 || Estimated Time: 10:22:03
2023-07-21 04:06:38,863 semantic_segmentation INFO: Iters: 39460/50000 || Lr: 0.004927 || Task Loss: 0.1202 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0907|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:46:42 || Estimated Time: 10:21:28
2023-07-21 04:07:16,146 semantic_segmentation INFO: Iters: 39470/50000 || Lr: 0.004922 || Task Loss: 0.1074 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:47:19 || Estimated Time: 10:20:53
2023-07-21 04:07:53,280 semantic_segmentation INFO: Iters: 39480/50000 || Lr: 0.004918 || Task Loss: 0.1227 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:47:56 || Estimated Time: 10:20:18
2023-07-21 04:08:29,834 semantic_segmentation INFO: Iters: 39490/50000 || Lr: 0.004914 || Task Loss: 0.1255 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0807|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:48:33 || Estimated Time: 10:19:43
2023-07-21 04:09:07,267 semantic_segmentation INFO: Iters: 39500/50000 || Lr: 0.004910 || Task Loss: 0.1063 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:49:10 || Estimated Time: 10:19:08
2023-07-21 04:09:44,244 semantic_segmentation INFO: Iters: 39510/50000 || Lr: 0.004906 || Task Loss: 0.0904 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:49:47 || Estimated Time: 10:18:33
2023-07-21 04:10:21,050 semantic_segmentation INFO: Iters: 39520/50000 || Lr: 0.004901 || Task Loss: 0.0939 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:50:24 || Estimated Time: 10:17:58
2023-07-21 04:10:58,012 semantic_segmentation INFO: Iters: 39530/50000 || Lr: 0.004897 || Task Loss: 0.1201 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0810|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:51:01 || Estimated Time: 10:17:23
2023-07-21 04:11:35,149 semantic_segmentation INFO: Iters: 39540/50000 || Lr: 0.004893 || Task Loss: 0.0904 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:51:38 || Estimated Time: 10:16:48
2023-07-21 04:12:12,127 semantic_segmentation INFO: Iters: 39550/50000 || Lr: 0.004889 || Task Loss: 0.1028 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:52:15 || Estimated Time: 10:16:13
2023-07-21 04:12:49,005 semantic_segmentation INFO: Iters: 39560/50000 || Lr: 0.004885 || Task Loss: 0.1110 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:52:52 || Estimated Time: 10:15:38
2023-07-21 04:13:26,187 semantic_segmentation INFO: Iters: 39570/50000 || Lr: 0.004880 || Task Loss: 0.1025 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:53:29 || Estimated Time: 10:15:03
2023-07-21 04:14:03,511 semantic_segmentation INFO: Iters: 39580/50000 || Lr: 0.004876 || Task Loss: 0.1203 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:54:07 || Estimated Time: 10:14:29
2023-07-21 04:14:40,013 semantic_segmentation INFO: Iters: 39590/50000 || Lr: 0.004872 || Task Loss: 0.1059 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0852|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:54:43 || Estimated Time: 10:13:53
2023-07-21 04:15:16,704 semantic_segmentation INFO: Iters: 39600/50000 || Lr: 0.004868 || Task Loss: 0.1102 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:55:20 || Estimated Time: 10:13:18
2023-07-21 04:15:53,697 semantic_segmentation INFO: Iters: 39610/50000 || Lr: 0.004863 || Task Loss: 0.1083 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:55:57 || Estimated Time: 10:12:43
2023-07-21 04:16:30,899 semantic_segmentation INFO: Iters: 39620/50000 || Lr: 0.004859 || Task Loss: 0.1026 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:56:34 || Estimated Time: 10:12:09
2023-07-21 04:17:07,583 semantic_segmentation INFO: Iters: 39630/50000 || Lr: 0.004855 || Task Loss: 0.1037 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:57:11 || Estimated Time: 10:11:34
2023-07-21 04:17:45,183 semantic_segmentation INFO: Iters: 39640/50000 || Lr: 0.004851 || Task Loss: 0.1135 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:57:48 || Estimated Time: 10:10:59
2023-07-21 04:18:21,966 semantic_segmentation INFO: Iters: 39650/50000 || Lr: 0.004847 || Task Loss: 0.0998 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:58:25 || Estimated Time: 10:10:24
2023-07-21 04:18:58,755 semantic_segmentation INFO: Iters: 39660/50000 || Lr: 0.004842 || Task Loss: 0.1275 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0760|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:59:02 || Estimated Time: 10:09:49
2023-07-21 04:19:35,761 semantic_segmentation INFO: Iters: 39670/50000 || Lr: 0.004838 || Task Loss: 0.1205 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:59:39 || Estimated Time: 10:09:14
2023-07-21 04:20:12,757 semantic_segmentation INFO: Iters: 39680/50000 || Lr: 0.004834 || Task Loss: 0.1031 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:00:16 || Estimated Time: 10:08:39
2023-07-21 04:20:49,765 semantic_segmentation INFO: Iters: 39690/50000 || Lr: 0.004830 || Task Loss: 0.1086 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0821|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:00:53 || Estimated Time: 10:08:04
2023-07-21 04:21:26,383 semantic_segmentation INFO: Iters: 39700/50000 || Lr: 0.004826 || Task Loss: 0.1048 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0857|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:01:29 || Estimated Time: 10:07:29
2023-07-21 04:22:03,683 semantic_segmentation INFO: Iters: 39710/50000 || Lr: 0.004821 || Task Loss: 0.1189 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:02:07 || Estimated Time: 10:06:54
2023-07-21 04:22:40,856 semantic_segmentation INFO: Iters: 39720/50000 || Lr: 0.004817 || Task Loss: 0.1060 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:02:44 || Estimated Time: 10:06:19
2023-07-21 04:23:17,729 semantic_segmentation INFO: Iters: 39730/50000 || Lr: 0.004813 || Task Loss: 0.1067 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:03:21 || Estimated Time: 10:05:44
2023-07-21 04:23:54,951 semantic_segmentation INFO: Iters: 39740/50000 || Lr: 0.004809 || Task Loss: 0.1167 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:03:58 || Estimated Time: 10:05:09
2023-07-21 04:24:31,884 semantic_segmentation INFO: Iters: 39750/50000 || Lr: 0.004804 || Task Loss: 0.0975 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:04:35 || Estimated Time: 10:04:34
2023-07-21 04:25:08,909 semantic_segmentation INFO: Iters: 39760/50000 || Lr: 0.004800 || Task Loss: 0.1092 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:05:12 || Estimated Time: 10:03:59
2023-07-21 04:25:45,530 semantic_segmentation INFO: Iters: 39770/50000 || Lr: 0.004796 || Task Loss: 0.1083 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:05:49 || Estimated Time: 10:03:24
2023-07-21 04:26:23,178 semantic_segmentation INFO: Iters: 39780/50000 || Lr: 0.004792 || Task Loss: 0.1058 || KD Loss: 0.0325|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:06:26 || Estimated Time: 10:02:49
2023-07-21 04:26:59,638 semantic_segmentation INFO: Iters: 39790/50000 || Lr: 0.004788 || Task Loss: 0.1049 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:07:03 || Estimated Time: 10:02:14
2023-07-21 04:27:36,328 semantic_segmentation INFO: Iters: 39800/50000 || Lr: 0.004783 || Task Loss: 0.1293 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0877|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:07:39 || Estimated Time: 10:01:39
2023-07-21 04:28:13,330 semantic_segmentation INFO: Iters: 39810/50000 || Lr: 0.004779 || Task Loss: 0.1017 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:08:16 || Estimated Time: 10:01:04
2023-07-21 04:28:50,190 semantic_segmentation INFO: Iters: 39820/50000 || Lr: 0.004775 || Task Loss: 0.1120 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:08:53 || Estimated Time: 10:00:29
2023-07-21 04:29:27,468 semantic_segmentation INFO: Iters: 39830/50000 || Lr: 0.004771 || Task Loss: 0.1099 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:09:31 || Estimated Time: 9:59:54
2023-07-21 04:30:04,919 semantic_segmentation INFO: Iters: 39840/50000 || Lr: 0.004767 || Task Loss: 0.0943 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:10:08 || Estimated Time: 9:59:19
2023-07-21 04:30:41,868 semantic_segmentation INFO: Iters: 39850/50000 || Lr: 0.004762 || Task Loss: 0.1035 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:10:45 || Estimated Time: 9:58:44
2023-07-21 04:31:18,696 semantic_segmentation INFO: Iters: 39860/50000 || Lr: 0.004758 || Task Loss: 0.1092 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:11:22 || Estimated Time: 9:58:09
2023-07-21 04:31:55,334 semantic_segmentation INFO: Iters: 39870/50000 || Lr: 0.004754 || Task Loss: 0.1019 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:11:58 || Estimated Time: 9:57:34
2023-07-21 04:32:32,202 semantic_segmentation INFO: Iters: 39880/50000 || Lr: 0.004750 || Task Loss: 0.1146 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:12:35 || Estimated Time: 9:56:59
2023-07-21 04:33:09,757 semantic_segmentation INFO: Iters: 39890/50000 || Lr: 0.004745 || Task Loss: 0.1019 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1023|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:13:13 || Estimated Time: 9:56:24
2023-07-21 04:33:46,371 semantic_segmentation INFO: Iters: 39900/50000 || Lr: 0.004741 || Task Loss: 0.1133 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:13:49 || Estimated Time: 9:55:49
2023-07-21 04:34:23,537 semantic_segmentation INFO: Iters: 39910/50000 || Lr: 0.004737 || Task Loss: 0.1125 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:14:27 || Estimated Time: 9:55:14
2023-07-21 04:34:59,885 semantic_segmentation INFO: Iters: 39920/50000 || Lr: 0.004733 || Task Loss: 0.1038 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:15:03 || Estimated Time: 9:54:39
2023-07-21 04:35:36,799 semantic_segmentation INFO: Iters: 39930/50000 || Lr: 0.004728 || Task Loss: 0.1333 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:15:40 || Estimated Time: 9:54:04
2023-07-21 04:36:13,808 semantic_segmentation INFO: Iters: 39940/50000 || Lr: 0.004724 || Task Loss: 0.1053 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:16:17 || Estimated Time: 9:53:29
2023-07-21 04:36:51,036 semantic_segmentation INFO: Iters: 39950/50000 || Lr: 0.004720 || Task Loss: 0.1040 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:16:54 || Estimated Time: 9:52:54
2023-07-21 04:37:27,820 semantic_segmentation INFO: Iters: 39960/50000 || Lr: 0.004716 || Task Loss: 0.1041 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1056|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:17:31 || Estimated Time: 9:52:19
2023-07-21 04:38:05,263 semantic_segmentation INFO: Iters: 39970/50000 || Lr: 0.004712 || Task Loss: 0.1170 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:18:08 || Estimated Time: 9:51:44
2023-07-21 04:38:42,498 semantic_segmentation INFO: Iters: 39980/50000 || Lr: 0.004707 || Task Loss: 0.1007 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:18:46 || Estimated Time: 9:51:09
2023-07-21 04:39:18,732 semantic_segmentation INFO: Iters: 39990/50000 || Lr: 0.004703 || Task Loss: 0.1029 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:19:22 || Estimated Time: 9:50:34
2023-07-21 04:39:56,102 semantic_segmentation INFO: Iters: 40000/50000 || Lr: 0.004699 || Task Loss: 0.0945 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:19:59 || Estimated Time: 9:49:59
2023-07-21 04:39:56,168 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 04:39:56,544 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.710
2023-07-21 04:39:56,561 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.714
2023-07-21 04:39:56,582 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.711
2023-07-21 04:39:56,596 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.707
2023-07-21 04:39:56,610 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 04:39:56,623 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 04:39:56,637 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 04:39:56,651 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 04:39:56,664 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 04:39:56,678 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 04:39:56,691 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.703
2023-07-21 04:39:56,704 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 04:39:56,718 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-21 04:39:56,731 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-21 04:39:56,744 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-21 04:39:56,758 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 04:39:56,772 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-21 04:39:56,787 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-21 04:39:56,801 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-21 04:39:56,816 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-21 04:39:56,830 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-21 04:39:56,844 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-21 04:39:56,858 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-21 04:39:56,873 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 04:39:56,887 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 04:39:56,901 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 04:39:56,915 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 04:39:56,929 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 04:39:56,943 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 04:39:56,958 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 04:39:56,973 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 04:39:56,988 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 04:39:57,004 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.692
2023-07-21 04:39:57,019 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.693
2023-07-21 04:39:57,034 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.694
2023-07-21 04:39:57,049 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.694
2023-07-21 04:39:57,064 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-21 04:39:57,079 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.695
2023-07-21 04:39:57,094 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.953, mIoU: 0.695
2023-07-21 04:39:57,110 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 04:39:57,125 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 04:39:57,140 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.699
2023-07-21 04:39:57,155 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.701
2023-07-21 04:39:57,169 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.702
2023-07-21 04:39:57,184 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 04:39:57,198 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 04:39:57,213 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 04:39:57,228 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.707
2023-07-21 04:39:57,242 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.708
2023-07-21 04:39:57,257 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.707
2023-07-21 04:39:57,271 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.708
2023-07-21 04:39:57,286 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.707
2023-07-21 04:39:57,300 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.708
2023-07-21 04:39:57,315 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.950, mIoU: 0.708
2023-07-21 04:39:57,329 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-21 04:39:57,344 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-21 04:39:57,358 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-21 04:39:57,373 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.708
2023-07-21 04:39:57,387 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.709
2023-07-21 04:39:57,402 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.948, mIoU: 0.710
2023-07-21 04:39:57,416 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.711
2023-07-21 04:39:57,431 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.711
2023-07-21 04:39:57,445 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.712
2023-07-21 04:39:57,460 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.712
2023-07-21 04:39:57,475 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.713
2023-07-21 04:39:57,489 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.713
2023-07-21 04:39:57,504 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.714
2023-07-21 04:39:57,518 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.715
2023-07-21 04:39:57,533 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-21 04:39:57,548 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.717
2023-07-21 04:39:57,563 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.943, mIoU: 0.717
2023-07-21 04:39:57,578 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 04:39:57,592 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 04:39:57,607 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 04:39:57,622 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-21 04:39:57,636 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 04:39:57,651 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 04:39:57,666 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 04:39:57,680 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 04:39:57,695 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 04:39:57,710 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 04:39:57,724 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 04:39:57,739 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 04:39:57,754 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 04:39:57,768 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 04:39:57,783 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 04:39:57,797 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 04:39:57,812 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 04:39:57,826 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 04:39:57,840 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 04:39:57,855 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 04:39:57,869 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 04:39:57,884 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 04:39:57,899 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 04:39:57,913 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 04:39:57,928 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 04:39:57,942 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 04:39:57,957 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 04:39:57,971 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 04:39:57,986 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 04:39:58,000 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 04:40:34,789 semantic_segmentation INFO: Iters: 40010/50000 || Lr: 0.004695 || Task Loss: 0.0925 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0854|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:20:38 || Estimated Time: 9:49:25
2023-07-21 04:41:12,048 semantic_segmentation INFO: Iters: 40020/50000 || Lr: 0.004690 || Task Loss: 0.1034 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1107|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:21:15 || Estimated Time: 9:48:50
2023-07-21 04:41:48,517 semantic_segmentation INFO: Iters: 40030/50000 || Lr: 0.004686 || Task Loss: 0.1064 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:21:52 || Estimated Time: 9:48:14
2023-07-21 04:42:25,550 semantic_segmentation INFO: Iters: 40040/50000 || Lr: 0.004682 || Task Loss: 0.1227 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0914|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:22:29 || Estimated Time: 9:47:39
2023-07-21 04:43:02,892 semantic_segmentation INFO: Iters: 40050/50000 || Lr: 0.004678 || Task Loss: 0.1005 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:23:06 || Estimated Time: 9:47:05
2023-07-21 04:43:39,460 semantic_segmentation INFO: Iters: 40060/50000 || Lr: 0.004674 || Task Loss: 0.0900 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:23:43 || Estimated Time: 9:46:29
2023-07-21 04:44:16,888 semantic_segmentation INFO: Iters: 40070/50000 || Lr: 0.004669 || Task Loss: 0.0987 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0890|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:24:20 || Estimated Time: 9:45:55
2023-07-21 04:44:53,785 semantic_segmentation INFO: Iters: 40080/50000 || Lr: 0.004665 || Task Loss: 0.1107 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:24:57 || Estimated Time: 9:45:19
2023-07-21 04:45:31,188 semantic_segmentation INFO: Iters: 40090/50000 || Lr: 0.004661 || Task Loss: 0.1075 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:25:34 || Estimated Time: 9:44:45
2023-07-21 04:46:08,182 semantic_segmentation INFO: Iters: 40100/50000 || Lr: 0.004657 || Task Loss: 0.1065 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:26:11 || Estimated Time: 9:44:10
2023-07-21 04:46:44,853 semantic_segmentation INFO: Iters: 40110/50000 || Lr: 0.004652 || Task Loss: 0.1236 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:26:48 || Estimated Time: 9:43:34
2023-07-21 04:47:22,273 semantic_segmentation INFO: Iters: 40120/50000 || Lr: 0.004648 || Task Loss: 0.1136 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:27:25 || Estimated Time: 9:43:00
2023-07-21 04:47:59,067 semantic_segmentation INFO: Iters: 40130/50000 || Lr: 0.004644 || Task Loss: 0.0801 || KD Loss: 0.0233|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:28:02 || Estimated Time: 9:42:25
2023-07-21 04:48:36,178 semantic_segmentation INFO: Iters: 40140/50000 || Lr: 0.004640 || Task Loss: 0.1029 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:28:39 || Estimated Time: 9:41:50
2023-07-21 04:49:13,215 semantic_segmentation INFO: Iters: 40150/50000 || Lr: 0.004635 || Task Loss: 0.0947 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:29:16 || Estimated Time: 9:41:15
2023-07-21 04:49:50,530 semantic_segmentation INFO: Iters: 40160/50000 || Lr: 0.004631 || Task Loss: 0.1432 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0903|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:29:54 || Estimated Time: 9:40:40
2023-07-21 04:50:27,166 semantic_segmentation INFO: Iters: 40170/50000 || Lr: 0.004627 || Task Loss: 0.1015 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:30:30 || Estimated Time: 9:40:04
2023-07-21 04:51:04,424 semantic_segmentation INFO: Iters: 40180/50000 || Lr: 0.004623 || Task Loss: 0.1166 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1022|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:31:08 || Estimated Time: 9:39:30
2023-07-21 04:51:41,443 semantic_segmentation INFO: Iters: 40190/50000 || Lr: 0.004618 || Task Loss: 0.1101 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:31:45 || Estimated Time: 9:38:54
2023-07-21 04:52:18,484 semantic_segmentation INFO: Iters: 40200/50000 || Lr: 0.004614 || Task Loss: 0.0939 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:32:22 || Estimated Time: 9:38:19
2023-07-21 04:52:55,116 semantic_segmentation INFO: Iters: 40210/50000 || Lr: 0.004610 || Task Loss: 0.1052 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:32:58 || Estimated Time: 9:37:44
2023-07-21 04:53:32,261 semantic_segmentation INFO: Iters: 40220/50000 || Lr: 0.004606 || Task Loss: 0.1265 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0815|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:33:35 || Estimated Time: 9:37:09
2023-07-21 04:54:09,063 semantic_segmentation INFO: Iters: 40230/50000 || Lr: 0.004602 || Task Loss: 0.1175 || KD Loss: 0.0381|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1119|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:34:12 || Estimated Time: 9:36:34
2023-07-21 04:54:46,020 semantic_segmentation INFO: Iters: 40240/50000 || Lr: 0.004597 || Task Loss: 0.1047 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:34:49 || Estimated Time: 9:35:59
2023-07-21 04:55:22,999 semantic_segmentation INFO: Iters: 40250/50000 || Lr: 0.004593 || Task Loss: 0.1025 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:35:26 || Estimated Time: 9:35:24
2023-07-21 04:55:59,880 semantic_segmentation INFO: Iters: 40260/50000 || Lr: 0.004589 || Task Loss: 0.1007 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:36:03 || Estimated Time: 9:34:49
2023-07-21 04:56:36,587 semantic_segmentation INFO: Iters: 40270/50000 || Lr: 0.004585 || Task Loss: 0.1052 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:36:40 || Estimated Time: 9:34:14
2023-07-21 04:57:13,798 semantic_segmentation INFO: Iters: 40280/50000 || Lr: 0.004580 || Task Loss: 0.0952 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:37:17 || Estimated Time: 9:33:39
2023-07-21 04:57:50,991 semantic_segmentation INFO: Iters: 40290/50000 || Lr: 0.004576 || Task Loss: 0.1209 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:37:54 || Estimated Time: 9:33:04
2023-07-21 04:58:27,715 semantic_segmentation INFO: Iters: 40300/50000 || Lr: 0.004572 || Task Loss: 0.1143 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0856|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:38:31 || Estimated Time: 9:32:29
2023-07-21 04:59:04,879 semantic_segmentation INFO: Iters: 40310/50000 || Lr: 0.004568 || Task Loss: 0.1130 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0862|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:39:08 || Estimated Time: 9:31:54
2023-07-21 04:59:41,724 semantic_segmentation INFO: Iters: 40320/50000 || Lr: 0.004563 || Task Loss: 0.1112 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:39:45 || Estimated Time: 9:31:19
2023-07-21 05:00:18,177 semantic_segmentation INFO: Iters: 40330/50000 || Lr: 0.004559 || Task Loss: 0.1034 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:40:21 || Estimated Time: 9:30:44
2023-07-21 05:00:55,466 semantic_segmentation INFO: Iters: 40340/50000 || Lr: 0.004555 || Task Loss: 0.1183 || KD Loss: 0.0329|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:40:59 || Estimated Time: 9:30:09
2023-07-21 05:01:31,966 semantic_segmentation INFO: Iters: 40350/50000 || Lr: 0.004551 || Task Loss: 0.1299 || KD Loss: 0.0341|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:41:35 || Estimated Time: 9:29:34
2023-07-21 05:02:08,969 semantic_segmentation INFO: Iters: 40360/50000 || Lr: 0.004546 || Task Loss: 0.1139 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:42:12 || Estimated Time: 9:28:59
2023-07-21 05:02:45,996 semantic_segmentation INFO: Iters: 40370/50000 || Lr: 0.004542 || Task Loss: 0.1058 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:42:49 || Estimated Time: 9:28:24
2023-07-21 05:03:23,077 semantic_segmentation INFO: Iters: 40380/50000 || Lr: 0.004538 || Task Loss: 0.1127 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:43:26 || Estimated Time: 9:27:49
2023-07-21 05:04:00,169 semantic_segmentation INFO: Iters: 40390/50000 || Lr: 0.004534 || Task Loss: 0.1126 || KD Loss: 0.0373|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:44:03 || Estimated Time: 9:27:14
2023-07-21 05:04:37,363 semantic_segmentation INFO: Iters: 40400/50000 || Lr: 0.004529 || Task Loss: 0.1079 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:44:40 || Estimated Time: 9:26:39
2023-07-21 05:05:13,559 semantic_segmentation INFO: Iters: 40410/50000 || Lr: 0.004525 || Task Loss: 0.1091 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:45:17 || Estimated Time: 9:26:03
2023-07-21 05:05:50,891 semantic_segmentation INFO: Iters: 40420/50000 || Lr: 0.004521 || Task Loss: 0.1230 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:45:54 || Estimated Time: 9:25:28
2023-07-21 05:06:27,540 semantic_segmentation INFO: Iters: 40430/50000 || Lr: 0.004517 || Task Loss: 0.1023 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:46:31 || Estimated Time: 9:24:53
2023-07-21 05:07:04,351 semantic_segmentation INFO: Iters: 40440/50000 || Lr: 0.004512 || Task Loss: 0.1001 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:47:07 || Estimated Time: 9:24:18
2023-07-21 05:07:41,664 semantic_segmentation INFO: Iters: 40450/50000 || Lr: 0.004508 || Task Loss: 0.1075 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:47:45 || Estimated Time: 9:23:43
2023-07-21 05:08:18,820 semantic_segmentation INFO: Iters: 40460/50000 || Lr: 0.004504 || Task Loss: 0.1014 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:48:22 || Estimated Time: 9:23:08
2023-07-21 05:08:55,483 semantic_segmentation INFO: Iters: 40470/50000 || Lr: 0.004500 || Task Loss: 0.1047 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:48:59 || Estimated Time: 9:22:33
2023-07-21 05:09:32,410 semantic_segmentation INFO: Iters: 40480/50000 || Lr: 0.004495 || Task Loss: 0.1111 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0926|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:49:36 || Estimated Time: 9:21:58
2023-07-21 05:10:09,583 semantic_segmentation INFO: Iters: 40490/50000 || Lr: 0.004491 || Task Loss: 0.1295 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0853|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:50:13 || Estimated Time: 9:21:23
2023-07-21 05:10:46,377 semantic_segmentation INFO: Iters: 40500/50000 || Lr: 0.004487 || Task Loss: 0.1017 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1122|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:50:49 || Estimated Time: 9:20:48
2023-07-21 05:11:23,298 semantic_segmentation INFO: Iters: 40510/50000 || Lr: 0.004483 || Task Loss: 0.1271 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0808|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:51:26 || Estimated Time: 9:20:13
2023-07-21 05:12:00,280 semantic_segmentation INFO: Iters: 40520/50000 || Lr: 0.004478 || Task Loss: 0.1221 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:52:03 || Estimated Time: 9:19:38
2023-07-21 05:12:37,196 semantic_segmentation INFO: Iters: 40530/50000 || Lr: 0.004474 || Task Loss: 0.1210 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0851|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:52:40 || Estimated Time: 9:19:03
2023-07-21 05:13:14,067 semantic_segmentation INFO: Iters: 40540/50000 || Lr: 0.004470 || Task Loss: 0.1005 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:53:17 || Estimated Time: 9:18:28
2023-07-21 05:13:51,198 semantic_segmentation INFO: Iters: 40550/50000 || Lr: 0.004466 || Task Loss: 0.1320 || KD Loss: 0.0352|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:53:54 || Estimated Time: 9:17:53
2023-07-21 05:14:27,991 semantic_segmentation INFO: Iters: 40560/50000 || Lr: 0.004461 || Task Loss: 0.1298 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0770|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:54:31 || Estimated Time: 9:17:18
2023-07-21 05:15:04,757 semantic_segmentation INFO: Iters: 40570/50000 || Lr: 0.004457 || Task Loss: 0.0927 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:55:08 || Estimated Time: 9:16:42
2023-07-21 05:15:41,916 semantic_segmentation INFO: Iters: 40580/50000 || Lr: 0.004453 || Task Loss: 0.1203 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0822|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:55:45 || Estimated Time: 9:16:07
2023-07-21 05:16:18,710 semantic_segmentation INFO: Iters: 40590/50000 || Lr: 0.004449 || Task Loss: 0.0997 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1132|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:56:22 || Estimated Time: 9:15:32
2023-07-21 05:16:55,567 semantic_segmentation INFO: Iters: 40600/50000 || Lr: 0.004444 || Task Loss: 0.1145 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0828|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:56:59 || Estimated Time: 9:14:57
2023-07-21 05:17:32,885 semantic_segmentation INFO: Iters: 40610/50000 || Lr: 0.004440 || Task Loss: 0.1031 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:57:36 || Estimated Time: 9:14:22
2023-07-21 05:18:09,266 semantic_segmentation INFO: Iters: 40620/50000 || Lr: 0.004436 || Task Loss: 0.1081 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:58:12 || Estimated Time: 9:13:47
2023-07-21 05:18:46,317 semantic_segmentation INFO: Iters: 40630/50000 || Lr: 0.004432 || Task Loss: 0.1248 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:58:49 || Estimated Time: 9:13:12
2023-07-21 05:19:23,142 semantic_segmentation INFO: Iters: 40640/50000 || Lr: 0.004427 || Task Loss: 0.1167 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:59:26 || Estimated Time: 9:12:37
2023-07-21 05:20:00,122 semantic_segmentation INFO: Iters: 40650/50000 || Lr: 0.004423 || Task Loss: 0.0982 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:00:03 || Estimated Time: 9:12:02
2023-07-21 05:20:36,992 semantic_segmentation INFO: Iters: 40660/50000 || Lr: 0.004419 || Task Loss: 0.0927 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:00:40 || Estimated Time: 9:11:27
2023-07-21 05:21:14,099 semantic_segmentation INFO: Iters: 40670/50000 || Lr: 0.004415 || Task Loss: 0.1003 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:01:17 || Estimated Time: 9:10:52
2023-07-21 05:21:51,306 semantic_segmentation INFO: Iters: 40680/50000 || Lr: 0.004410 || Task Loss: 0.1015 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:01:54 || Estimated Time: 9:10:17
2023-07-21 05:22:28,210 semantic_segmentation INFO: Iters: 40690/50000 || Lr: 0.004406 || Task Loss: 0.0963 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0956|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:02:31 || Estimated Time: 9:09:42
2023-07-21 05:23:05,114 semantic_segmentation INFO: Iters: 40700/50000 || Lr: 0.004402 || Task Loss: 0.1243 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:03:08 || Estimated Time: 9:09:07
2023-07-21 05:23:41,913 semantic_segmentation INFO: Iters: 40710/50000 || Lr: 0.004398 || Task Loss: 0.0981 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:03:45 || Estimated Time: 9:08:31
2023-07-21 05:24:19,227 semantic_segmentation INFO: Iters: 40720/50000 || Lr: 0.004393 || Task Loss: 0.1022 || KD Loss: 0.0236|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:04:22 || Estimated Time: 9:07:56
2023-07-21 05:24:55,964 semantic_segmentation INFO: Iters: 40730/50000 || Lr: 0.004389 || Task Loss: 0.1102 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:04:59 || Estimated Time: 9:07:21
2023-07-21 05:25:32,660 semantic_segmentation INFO: Iters: 40740/50000 || Lr: 0.004385 || Task Loss: 0.1062 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:05:36 || Estimated Time: 9:06:46
2023-07-21 05:26:09,359 semantic_segmentation INFO: Iters: 40750/50000 || Lr: 0.004381 || Task Loss: 0.1059 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:06:12 || Estimated Time: 9:06:11
2023-07-21 05:26:46,100 semantic_segmentation INFO: Iters: 40760/50000 || Lr: 0.004376 || Task Loss: 0.1173 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:06:49 || Estimated Time: 9:05:36
2023-07-21 05:27:23,561 semantic_segmentation INFO: Iters: 40770/50000 || Lr: 0.004372 || Task Loss: 0.1074 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:07:27 || Estimated Time: 9:05:01
2023-07-21 05:28:00,099 semantic_segmentation INFO: Iters: 40780/50000 || Lr: 0.004368 || Task Loss: 0.0937 || KD Loss: 0.0335|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1158|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:08:03 || Estimated Time: 9:04:26
2023-07-21 05:28:36,992 semantic_segmentation INFO: Iters: 40790/50000 || Lr: 0.004363 || Task Loss: 0.0969 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:08:40 || Estimated Time: 9:03:51
2023-07-21 05:29:13,806 semantic_segmentation INFO: Iters: 40800/50000 || Lr: 0.004359 || Task Loss: 0.1021 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:09:17 || Estimated Time: 9:03:15
2023-07-21 05:29:13,870 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 05:29:14,237 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.704
2023-07-21 05:29:14,259 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.709
2023-07-21 05:29:14,272 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.707
2023-07-21 05:29:14,286 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 05:29:14,300 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-21 05:29:14,314 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-21 05:29:14,328 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-21 05:29:14,342 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-21 05:29:14,355 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.697
2023-07-21 05:29:14,369 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-21 05:29:14,383 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-21 05:29:14,397 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-21 05:29:14,411 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 05:29:14,425 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.958, mIoU: 0.699
2023-07-21 05:29:14,438 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.958, mIoU: 0.699
2023-07-21 05:29:14,452 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-21 05:29:14,465 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.695
2023-07-21 05:29:14,479 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.957, mIoU: 0.693
2023-07-21 05:29:14,494 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.691
2023-07-21 05:29:14,508 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-21 05:29:14,522 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-21 05:29:14,537 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 05:29:14,551 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-21 05:29:14,565 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-21 05:29:14,580 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-21 05:29:14,594 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-21 05:29:14,608 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-21 05:29:14,622 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.953, mIoU: 0.680
2023-07-21 05:29:14,636 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.953, mIoU: 0.681
2023-07-21 05:29:14,650 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.953, mIoU: 0.682
2023-07-21 05:29:14,665 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.953, mIoU: 0.683
2023-07-21 05:29:14,679 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.953, mIoU: 0.684
2023-07-21 05:29:14,694 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-21 05:29:14,709 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.687
2023-07-21 05:29:14,724 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.688
2023-07-21 05:29:14,739 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-21 05:29:14,753 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.688
2023-07-21 05:29:14,769 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-21 05:29:14,784 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-21 05:29:14,798 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-21 05:29:14,814 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.951, mIoU: 0.692
2023-07-21 05:29:14,829 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 05:29:14,844 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 05:29:14,858 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 05:29:14,873 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.698
2023-07-21 05:29:14,888 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.700
2023-07-21 05:29:14,904 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.701
2023-07-21 05:29:14,919 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-21 05:29:14,934 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.704
2023-07-21 05:29:14,949 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-21 05:29:14,964 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.704
2023-07-21 05:29:14,979 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 05:29:14,994 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 05:29:15,009 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 05:29:15,023 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-21 05:29:15,038 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.704
2023-07-21 05:29:15,052 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-21 05:29:15,067 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.705
2023-07-21 05:29:15,081 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.706
2023-07-21 05:29:15,096 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 05:29:15,110 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-21 05:29:15,125 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-21 05:29:15,139 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.709
2023-07-21 05:29:15,154 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 05:29:15,169 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 05:29:15,183 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 05:29:15,198 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-21 05:29:15,212 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-21 05:29:15,226 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-21 05:29:15,241 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-21 05:29:15,255 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 05:29:15,270 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 05:29:15,284 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 05:29:15,299 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-21 05:29:15,314 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.712
2023-07-21 05:29:15,328 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 05:29:15,343 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-21 05:29:15,357 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 05:29:15,372 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 05:29:15,386 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 05:29:15,401 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-21 05:29:15,415 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 05:29:15,430 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 05:29:15,444 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 05:29:15,459 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 05:29:15,473 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 05:29:15,487 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 05:29:15,502 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-21 05:29:15,516 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 05:29:15,530 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.700
2023-07-21 05:29:15,545 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.699
2023-07-21 05:29:15,559 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-21 05:29:15,573 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.699
2023-07-21 05:29:15,588 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-21 05:29:15,602 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-21 05:29:15,616 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-21 05:29:15,630 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-21 05:29:15,645 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-21 05:29:15,659 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.697
2023-07-21 05:29:15,673 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.696
2023-07-21 05:29:15,687 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.694
2023-07-21 05:29:52,871 semantic_segmentation INFO: Iters: 40810/50000 || Lr: 0.004355 || Task Loss: 0.1221 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:09:56 || Estimated Time: 9:02:41
2023-07-21 05:30:29,809 semantic_segmentation INFO: Iters: 40820/50000 || Lr: 0.004351 || Task Loss: 0.1049 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:10:33 || Estimated Time: 9:02:06
2023-07-21 05:31:06,710 semantic_segmentation INFO: Iters: 40830/50000 || Lr: 0.004346 || Task Loss: 0.1109 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:11:10 || Estimated Time: 9:01:31
2023-07-21 05:31:43,187 semantic_segmentation INFO: Iters: 40840/50000 || Lr: 0.004342 || Task Loss: 0.1007 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:11:46 || Estimated Time: 9:00:55
2023-07-21 05:32:20,297 semantic_segmentation INFO: Iters: 40850/50000 || Lr: 0.004338 || Task Loss: 0.1110 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:12:23 || Estimated Time: 9:00:20
2023-07-21 05:32:57,622 semantic_segmentation INFO: Iters: 40860/50000 || Lr: 0.004334 || Task Loss: 0.1178 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:13:01 || Estimated Time: 8:59:45
2023-07-21 05:33:34,342 semantic_segmentation INFO: Iters: 40870/50000 || Lr: 0.004329 || Task Loss: 0.1121 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:13:37 || Estimated Time: 8:59:10
2023-07-21 05:34:11,277 semantic_segmentation INFO: Iters: 40880/50000 || Lr: 0.004325 || Task Loss: 0.0888 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:14:14 || Estimated Time: 8:58:35
2023-07-21 05:34:47,827 semantic_segmentation INFO: Iters: 40890/50000 || Lr: 0.004321 || Task Loss: 0.1061 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:14:51 || Estimated Time: 8:58:00
2023-07-21 05:35:25,114 semantic_segmentation INFO: Iters: 40900/50000 || Lr: 0.004317 || Task Loss: 0.0927 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0821|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:15:28 || Estimated Time: 8:57:25
2023-07-21 05:36:02,535 semantic_segmentation INFO: Iters: 40910/50000 || Lr: 0.004312 || Task Loss: 0.0939 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:16:06 || Estimated Time: 8:56:50
2023-07-21 05:36:38,985 semantic_segmentation INFO: Iters: 40920/50000 || Lr: 0.004308 || Task Loss: 0.1085 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:16:42 || Estimated Time: 8:56:15
2023-07-21 05:37:16,062 semantic_segmentation INFO: Iters: 40930/50000 || Lr: 0.004304 || Task Loss: 0.1076 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:17:19 || Estimated Time: 8:55:40
2023-07-21 05:37:52,984 semantic_segmentation INFO: Iters: 40940/50000 || Lr: 0.004299 || Task Loss: 0.1011 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:17:56 || Estimated Time: 8:55:05
2023-07-21 05:38:30,219 semantic_segmentation INFO: Iters: 40950/50000 || Lr: 0.004295 || Task Loss: 0.1303 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:18:33 || Estimated Time: 8:54:30
2023-07-21 05:39:07,306 semantic_segmentation INFO: Iters: 40960/50000 || Lr: 0.004291 || Task Loss: 0.1003 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:19:10 || Estimated Time: 8:53:54
2023-07-21 05:39:43,774 semantic_segmentation INFO: Iters: 40970/50000 || Lr: 0.004287 || Task Loss: 0.1049 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:19:47 || Estimated Time: 8:53:19
2023-07-21 05:40:20,784 semantic_segmentation INFO: Iters: 40980/50000 || Lr: 0.004282 || Task Loss: 0.1057 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:20:24 || Estimated Time: 8:52:44
2023-07-21 05:40:57,960 semantic_segmentation INFO: Iters: 40990/50000 || Lr: 0.004278 || Task Loss: 0.0988 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:21:01 || Estimated Time: 8:52:09
2023-07-21 05:41:34,491 semantic_segmentation INFO: Iters: 41000/50000 || Lr: 0.004274 || Task Loss: 0.1152 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:21:38 || Estimated Time: 8:51:34
2023-07-21 05:42:11,825 semantic_segmentation INFO: Iters: 41010/50000 || Lr: 0.004270 || Task Loss: 0.0946 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:22:15 || Estimated Time: 8:50:59
2023-07-21 05:42:48,869 semantic_segmentation INFO: Iters: 41020/50000 || Lr: 0.004265 || Task Loss: 0.1290 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0869|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:22:52 || Estimated Time: 8:50:24
2023-07-21 05:43:25,625 semantic_segmentation INFO: Iters: 41030/50000 || Lr: 0.004261 || Task Loss: 0.1102 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:23:29 || Estimated Time: 8:49:49
2023-07-21 05:44:02,563 semantic_segmentation INFO: Iters: 41040/50000 || Lr: 0.004257 || Task Loss: 0.0932 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1152|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:24:06 || Estimated Time: 8:49:14
2023-07-21 05:44:39,234 semantic_segmentation INFO: Iters: 41050/50000 || Lr: 0.004252 || Task Loss: 0.1023 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:24:42 || Estimated Time: 8:48:38
2023-07-21 05:45:16,265 semantic_segmentation INFO: Iters: 41060/50000 || Lr: 0.004248 || Task Loss: 0.1067 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:25:19 || Estimated Time: 8:48:03
2023-07-21 05:45:53,263 semantic_segmentation INFO: Iters: 41070/50000 || Lr: 0.004244 || Task Loss: 0.0888 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:25:56 || Estimated Time: 8:47:28
2023-07-21 05:46:30,571 semantic_segmentation INFO: Iters: 41080/50000 || Lr: 0.004240 || Task Loss: 0.0962 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:26:34 || Estimated Time: 8:46:53
2023-07-21 05:47:07,514 semantic_segmentation INFO: Iters: 41090/50000 || Lr: 0.004235 || Task Loss: 0.0978 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0837|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:27:11 || Estimated Time: 8:46:18
2023-07-21 05:47:44,240 semantic_segmentation INFO: Iters: 41100/50000 || Lr: 0.004231 || Task Loss: 0.0967 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:27:47 || Estimated Time: 8:45:43
2023-07-21 05:48:21,305 semantic_segmentation INFO: Iters: 41110/50000 || Lr: 0.004227 || Task Loss: 0.1080 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:28:24 || Estimated Time: 8:45:08
2023-07-21 05:48:58,053 semantic_segmentation INFO: Iters: 41120/50000 || Lr: 0.004223 || Task Loss: 0.1279 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:29:01 || Estimated Time: 8:44:33
2023-07-21 05:49:35,323 semantic_segmentation INFO: Iters: 41130/50000 || Lr: 0.004218 || Task Loss: 0.1101 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:29:38 || Estimated Time: 8:43:58
2023-07-21 05:50:12,178 semantic_segmentation INFO: Iters: 41140/50000 || Lr: 0.004214 || Task Loss: 0.0976 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1033|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:30:15 || Estimated Time: 8:43:22
2023-07-21 05:50:49,286 semantic_segmentation INFO: Iters: 41150/50000 || Lr: 0.004210 || Task Loss: 0.0946 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0834|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:30:52 || Estimated Time: 8:42:47
2023-07-21 05:51:25,663 semantic_segmentation INFO: Iters: 41160/50000 || Lr: 0.004205 || Task Loss: 0.1109 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:31:29 || Estimated Time: 8:42:12
2023-07-21 05:52:02,479 semantic_segmentation INFO: Iters: 41170/50000 || Lr: 0.004201 || Task Loss: 0.1032 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1031|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:32:06 || Estimated Time: 8:41:37
2023-07-21 05:52:39,783 semantic_segmentation INFO: Iters: 41180/50000 || Lr: 0.004197 || Task Loss: 0.1051 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:32:43 || Estimated Time: 8:41:02
2023-07-21 05:53:16,607 semantic_segmentation INFO: Iters: 41190/50000 || Lr: 0.004193 || Task Loss: 0.1132 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:33:20 || Estimated Time: 8:40:27
2023-07-21 05:53:53,324 semantic_segmentation INFO: Iters: 41200/50000 || Lr: 0.004188 || Task Loss: 0.0925 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:33:56 || Estimated Time: 8:39:52
2023-07-21 05:54:30,584 semantic_segmentation INFO: Iters: 41210/50000 || Lr: 0.004184 || Task Loss: 0.0908 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:34:34 || Estimated Time: 8:39:17
2023-07-21 05:55:07,457 semantic_segmentation INFO: Iters: 41220/50000 || Lr: 0.004180 || Task Loss: 0.1292 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:35:11 || Estimated Time: 8:38:41
2023-07-21 05:55:44,302 semantic_segmentation INFO: Iters: 41230/50000 || Lr: 0.004175 || Task Loss: 0.1192 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0839|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:35:47 || Estimated Time: 8:38:06
2023-07-21 05:56:21,336 semantic_segmentation INFO: Iters: 41240/50000 || Lr: 0.004171 || Task Loss: 0.1157 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0890|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:36:24 || Estimated Time: 8:37:31
2023-07-21 05:56:58,683 semantic_segmentation INFO: Iters: 41250/50000 || Lr: 0.004167 || Task Loss: 0.1017 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:37:02 || Estimated Time: 8:36:56
2023-07-21 05:57:35,338 semantic_segmentation INFO: Iters: 41260/50000 || Lr: 0.004163 || Task Loss: 0.1136 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:37:38 || Estimated Time: 8:36:21
2023-07-21 05:58:12,465 semantic_segmentation INFO: Iters: 41270/50000 || Lr: 0.004158 || Task Loss: 0.1022 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:38:16 || Estimated Time: 8:35:46
2023-07-21 05:58:49,510 semantic_segmentation INFO: Iters: 41280/50000 || Lr: 0.004154 || Task Loss: 0.0905 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:38:53 || Estimated Time: 8:35:11
2023-07-21 05:59:26,114 semantic_segmentation INFO: Iters: 41290/50000 || Lr: 0.004150 || Task Loss: 0.0952 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:39:29 || Estimated Time: 8:34:35
2023-07-21 06:00:03,361 semantic_segmentation INFO: Iters: 41300/50000 || Lr: 0.004145 || Task Loss: 0.1053 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:40:06 || Estimated Time: 8:34:00
2023-07-21 06:00:40,039 semantic_segmentation INFO: Iters: 41310/50000 || Lr: 0.004141 || Task Loss: 0.1079 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:40:43 || Estimated Time: 8:33:25
2023-07-21 06:01:17,202 semantic_segmentation INFO: Iters: 41320/50000 || Lr: 0.004137 || Task Loss: 0.1092 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:41:20 || Estimated Time: 8:32:50
2023-07-21 06:01:54,087 semantic_segmentation INFO: Iters: 41330/50000 || Lr: 0.004133 || Task Loss: 0.1049 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:41:57 || Estimated Time: 8:32:15
2023-07-21 06:02:31,396 semantic_segmentation INFO: Iters: 41340/50000 || Lr: 0.004128 || Task Loss: 0.1120 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1105|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:42:34 || Estimated Time: 8:31:40
2023-07-21 06:03:07,807 semantic_segmentation INFO: Iters: 41350/50000 || Lr: 0.004124 || Task Loss: 0.1241 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0837|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:43:11 || Estimated Time: 8:31:05
2023-07-21 06:03:44,721 semantic_segmentation INFO: Iters: 41360/50000 || Lr: 0.004120 || Task Loss: 0.1021 || KD Loss: 0.0240|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:43:48 || Estimated Time: 8:30:30
2023-07-21 06:04:21,857 semantic_segmentation INFO: Iters: 41370/50000 || Lr: 0.004115 || Task Loss: 0.1014 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:44:25 || Estimated Time: 8:29:54
2023-07-21 06:04:59,056 semantic_segmentation INFO: Iters: 41380/50000 || Lr: 0.004111 || Task Loss: 0.1003 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:45:02 || Estimated Time: 8:29:19
2023-07-21 06:05:35,934 semantic_segmentation INFO: Iters: 41390/50000 || Lr: 0.004107 || Task Loss: 0.0946 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1126|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:45:39 || Estimated Time: 8:28:44
2023-07-21 06:06:13,052 semantic_segmentation INFO: Iters: 41400/50000 || Lr: 0.004103 || Task Loss: 0.1051 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:46:16 || Estimated Time: 8:28:09
2023-07-21 06:06:49,824 semantic_segmentation INFO: Iters: 41410/50000 || Lr: 0.004098 || Task Loss: 0.1005 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0916|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:46:53 || Estimated Time: 8:27:34
2023-07-21 06:07:26,718 semantic_segmentation INFO: Iters: 41420/50000 || Lr: 0.004094 || Task Loss: 0.0969 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:47:30 || Estimated Time: 8:26:59
2023-07-21 06:08:03,738 semantic_segmentation INFO: Iters: 41430/50000 || Lr: 0.004090 || Task Loss: 0.0996 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:48:07 || Estimated Time: 8:26:24
2023-07-21 06:08:40,635 semantic_segmentation INFO: Iters: 41440/50000 || Lr: 0.004085 || Task Loss: 0.1042 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1080|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:48:44 || Estimated Time: 8:25:48
2023-07-21 06:09:17,648 semantic_segmentation INFO: Iters: 41450/50000 || Lr: 0.004081 || Task Loss: 0.1058 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0965|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:49:21 || Estimated Time: 8:25:13
2023-07-21 06:09:54,687 semantic_segmentation INFO: Iters: 41460/50000 || Lr: 0.004077 || Task Loss: 0.1095 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1048|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:49:58 || Estimated Time: 8:24:38
2023-07-21 06:10:31,849 semantic_segmentation INFO: Iters: 41470/50000 || Lr: 0.004072 || Task Loss: 0.0938 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0852|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:50:35 || Estimated Time: 8:24:03
2023-07-21 06:11:08,517 semantic_segmentation INFO: Iters: 41480/50000 || Lr: 0.004068 || Task Loss: 0.1076 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0820|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:51:12 || Estimated Time: 8:23:28
2023-07-21 06:11:45,471 semantic_segmentation INFO: Iters: 41490/50000 || Lr: 0.004064 || Task Loss: 0.1054 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:51:49 || Estimated Time: 8:22:53
2023-07-21 06:12:22,590 semantic_segmentation INFO: Iters: 41500/50000 || Lr: 0.004060 || Task Loss: 0.0885 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:52:26 || Estimated Time: 8:22:18
2023-07-21 06:12:59,500 semantic_segmentation INFO: Iters: 41510/50000 || Lr: 0.004055 || Task Loss: 0.1224 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0830|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:53:03 || Estimated Time: 8:21:42
2023-07-21 06:13:36,434 semantic_segmentation INFO: Iters: 41520/50000 || Lr: 0.004051 || Task Loss: 0.0976 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:53:40 || Estimated Time: 8:21:07
2023-07-21 06:14:13,294 semantic_segmentation INFO: Iters: 41530/50000 || Lr: 0.004047 || Task Loss: 0.0997 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:54:16 || Estimated Time: 8:20:32
2023-07-21 06:14:50,471 semantic_segmentation INFO: Iters: 41540/50000 || Lr: 0.004042 || Task Loss: 0.0934 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:54:54 || Estimated Time: 8:19:57
2023-07-21 06:15:27,599 semantic_segmentation INFO: Iters: 41550/50000 || Lr: 0.004038 || Task Loss: 0.1180 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0866|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:55:31 || Estimated Time: 8:19:22
2023-07-21 06:16:04,486 semantic_segmentation INFO: Iters: 41560/50000 || Lr: 0.004034 || Task Loss: 0.1002 || KD Loss: 0.0347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:56:08 || Estimated Time: 8:18:47
2023-07-21 06:16:41,586 semantic_segmentation INFO: Iters: 41570/50000 || Lr: 0.004029 || Task Loss: 0.1218 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:56:45 || Estimated Time: 8:18:12
2023-07-21 06:17:18,868 semantic_segmentation INFO: Iters: 41580/50000 || Lr: 0.004025 || Task Loss: 0.0960 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:57:22 || Estimated Time: 8:17:37
2023-07-21 06:17:55,315 semantic_segmentation INFO: Iters: 41590/50000 || Lr: 0.004021 || Task Loss: 0.1086 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:57:58 || Estimated Time: 8:17:01
2023-07-21 06:18:32,605 semantic_segmentation INFO: Iters: 41600/50000 || Lr: 0.004017 || Task Loss: 0.1116 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:58:36 || Estimated Time: 8:16:26
2023-07-21 06:18:32,672 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 06:18:33,040 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-21 06:18:33,071 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.713
2023-07-21 06:18:33,084 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.711
2023-07-21 06:18:33,096 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.707
2023-07-21 06:18:33,110 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 06:18:33,123 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-21 06:18:33,137 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-21 06:18:33,150 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-21 06:18:33,164 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 06:18:33,178 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-21 06:18:33,192 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 06:18:33,206 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.700
2023-07-21 06:18:33,221 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-21 06:18:33,235 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 06:18:33,249 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 06:18:33,263 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-21 06:18:33,278 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-21 06:18:33,292 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-21 06:18:33,306 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-21 06:18:33,320 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.957, mIoU: 0.692
2023-07-21 06:18:33,334 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 06:18:33,348 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.956, mIoU: 0.691
2023-07-21 06:18:33,363 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-21 06:18:33,377 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 06:18:33,392 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 06:18:33,407 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 06:18:33,422 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 06:18:33,437 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 06:18:33,452 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 06:18:33,467 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 06:18:33,482 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 06:18:33,497 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-21 06:18:33,512 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-21 06:18:33,527 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-21 06:18:33,542 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.955, mIoU: 0.693
2023-07-21 06:18:33,556 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.693
2023-07-21 06:18:33,571 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.693
2023-07-21 06:18:33,585 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-21 06:18:33,599 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-21 06:18:33,614 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-21 06:18:33,628 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 06:18:33,642 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 06:18:33,656 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 06:18:33,670 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.701
2023-07-21 06:18:33,685 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 06:18:33,699 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 06:18:33,713 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 06:18:33,727 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 06:18:33,741 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-21 06:18:33,755 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-21 06:18:33,769 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 06:18:33,784 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-21 06:18:33,799 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 06:18:33,814 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 06:18:33,828 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 06:18:33,843 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 06:18:33,858 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 06:18:33,873 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 06:18:33,888 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 06:18:33,902 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 06:18:33,917 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 06:18:33,932 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.708
2023-07-21 06:18:33,946 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-21 06:18:33,961 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 06:18:33,976 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 06:18:33,990 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 06:18:34,005 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 06:18:34,019 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-21 06:18:34,034 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-21 06:18:34,049 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-21 06:18:34,063 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-21 06:18:34,077 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 06:18:34,092 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 06:18:34,106 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 06:18:34,120 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-21 06:18:34,134 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 06:18:34,149 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 06:18:34,163 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 06:18:34,178 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 06:18:34,193 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 06:18:34,208 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-21 06:18:34,223 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-21 06:18:34,238 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 06:18:34,253 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 06:18:34,268 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 06:18:34,282 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 06:18:34,297 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 06:18:34,312 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 06:18:34,326 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 06:18:34,341 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 06:18:34,356 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-21 06:18:34,370 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-21 06:18:34,385 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-21 06:18:34,400 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 06:18:34,414 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 06:18:34,429 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 06:18:34,443 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 06:18:34,458 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 06:18:34,472 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-21 06:18:34,486 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-21 06:18:34,500 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-21 06:19:11,037 semantic_segmentation INFO: Iters: 41610/50000 || Lr: 0.004012 || Task Loss: 0.1265 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:59:14 || Estimated Time: 8:15:51
2023-07-21 06:19:47,656 semantic_segmentation INFO: Iters: 41620/50000 || Lr: 0.004008 || Task Loss: 0.0964 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:59:51 || Estimated Time: 8:15:16
2023-07-21 06:20:24,601 semantic_segmentation INFO: Iters: 41630/50000 || Lr: 0.004004 || Task Loss: 0.1039 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:00:28 || Estimated Time: 8:14:41
2023-07-21 06:21:01,289 semantic_segmentation INFO: Iters: 41640/50000 || Lr: 0.003999 || Task Loss: 0.0975 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:01:04 || Estimated Time: 8:14:06
2023-07-21 06:21:38,008 semantic_segmentation INFO: Iters: 41650/50000 || Lr: 0.003995 || Task Loss: 0.0952 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:01:41 || Estimated Time: 8:13:30
2023-07-21 06:22:14,920 semantic_segmentation INFO: Iters: 41660/50000 || Lr: 0.003991 || Task Loss: 0.0980 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:02:18 || Estimated Time: 8:12:55
2023-07-21 06:22:51,937 semantic_segmentation INFO: Iters: 41670/50000 || Lr: 0.003986 || Task Loss: 0.1053 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:02:55 || Estimated Time: 8:12:20
2023-07-21 06:23:28,784 semantic_segmentation INFO: Iters: 41680/50000 || Lr: 0.003982 || Task Loss: 0.1022 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:03:32 || Estimated Time: 8:11:45
2023-07-21 06:24:05,894 semantic_segmentation INFO: Iters: 41690/50000 || Lr: 0.003978 || Task Loss: 0.1078 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1070|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:04:09 || Estimated Time: 8:11:10
2023-07-21 06:24:42,581 semantic_segmentation INFO: Iters: 41700/50000 || Lr: 0.003974 || Task Loss: 0.1038 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:04:46 || Estimated Time: 8:10:35
2023-07-21 06:25:20,332 semantic_segmentation INFO: Iters: 41710/50000 || Lr: 0.003969 || Task Loss: 0.1402 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0716|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:05:23 || Estimated Time: 8:10:00
2023-07-21 06:25:57,242 semantic_segmentation INFO: Iters: 41720/50000 || Lr: 0.003965 || Task Loss: 0.1081 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:06:00 || Estimated Time: 8:09:24
2023-07-21 06:26:34,296 semantic_segmentation INFO: Iters: 41730/50000 || Lr: 0.003961 || Task Loss: 0.0813 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:06:37 || Estimated Time: 8:08:49
2023-07-21 06:27:11,289 semantic_segmentation INFO: Iters: 41740/50000 || Lr: 0.003956 || Task Loss: 0.1101 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:07:14 || Estimated Time: 8:08:14
2023-07-21 06:27:47,979 semantic_segmentation INFO: Iters: 41750/50000 || Lr: 0.003952 || Task Loss: 0.1042 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:07:51 || Estimated Time: 8:07:39
2023-07-21 06:28:25,390 semantic_segmentation INFO: Iters: 41760/50000 || Lr: 0.003948 || Task Loss: 0.0941 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:08:28 || Estimated Time: 8:07:04
2023-07-21 06:29:02,116 semantic_segmentation INFO: Iters: 41770/50000 || Lr: 0.003943 || Task Loss: 0.1140 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1079|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:09:05 || Estimated Time: 8:06:29
2023-07-21 06:29:39,602 semantic_segmentation INFO: Iters: 41780/50000 || Lr: 0.003939 || Task Loss: 0.1010 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:09:43 || Estimated Time: 8:05:54
2023-07-21 06:30:16,553 semantic_segmentation INFO: Iters: 41790/50000 || Lr: 0.003935 || Task Loss: 0.1048 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:10:20 || Estimated Time: 8:05:18
2023-07-21 06:30:53,578 semantic_segmentation INFO: Iters: 41800/50000 || Lr: 0.003930 || Task Loss: 0.1125 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:10:57 || Estimated Time: 8:04:43
2023-07-21 06:31:30,772 semantic_segmentation INFO: Iters: 41810/50000 || Lr: 0.003926 || Task Loss: 0.1108 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0884|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:11:34 || Estimated Time: 8:04:08
2023-07-21 06:32:08,104 semantic_segmentation INFO: Iters: 41820/50000 || Lr: 0.003922 || Task Loss: 0.1103 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:12:11 || Estimated Time: 8:03:33
2023-07-21 06:32:44,892 semantic_segmentation INFO: Iters: 41830/50000 || Lr: 0.003917 || Task Loss: 0.0986 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:12:48 || Estimated Time: 8:02:58
2023-07-21 06:33:21,892 semantic_segmentation INFO: Iters: 41840/50000 || Lr: 0.003913 || Task Loss: 0.1006 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:13:25 || Estimated Time: 8:02:23
2023-07-21 06:33:58,970 semantic_segmentation INFO: Iters: 41850/50000 || Lr: 0.003909 || Task Loss: 0.0988 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:14:02 || Estimated Time: 8:01:47
2023-07-21 06:34:36,219 semantic_segmentation INFO: Iters: 41860/50000 || Lr: 0.003905 || Task Loss: 0.1028 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:14:39 || Estimated Time: 8:01:12
2023-07-21 06:35:12,795 semantic_segmentation INFO: Iters: 41870/50000 || Lr: 0.003900 || Task Loss: 0.1019 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:15:16 || Estimated Time: 8:00:37
2023-07-21 06:35:50,036 semantic_segmentation INFO: Iters: 41880/50000 || Lr: 0.003896 || Task Loss: 0.1193 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:15:53 || Estimated Time: 8:00:02
2023-07-21 06:36:27,038 semantic_segmentation INFO: Iters: 41890/50000 || Lr: 0.003892 || Task Loss: 0.1034 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:16:30 || Estimated Time: 7:59:27
2023-07-21 06:37:04,260 semantic_segmentation INFO: Iters: 41900/50000 || Lr: 0.003887 || Task Loss: 0.1132 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0905|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:17:07 || Estimated Time: 7:58:52
2023-07-21 06:37:41,551 semantic_segmentation INFO: Iters: 41910/50000 || Lr: 0.003883 || Task Loss: 0.1077 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:17:45 || Estimated Time: 7:58:16
2023-07-21 06:38:18,516 semantic_segmentation INFO: Iters: 41920/50000 || Lr: 0.003879 || Task Loss: 0.1098 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1088|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:18:22 || Estimated Time: 7:57:41
2023-07-21 06:38:55,997 semantic_segmentation INFO: Iters: 41930/50000 || Lr: 0.003874 || Task Loss: 0.1169 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:18:59 || Estimated Time: 7:57:06
2023-07-21 06:39:32,923 semantic_segmentation INFO: Iters: 41940/50000 || Lr: 0.003870 || Task Loss: 0.0948 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:19:36 || Estimated Time: 7:56:31
2023-07-21 06:40:09,837 semantic_segmentation INFO: Iters: 41950/50000 || Lr: 0.003866 || Task Loss: 0.1205 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:20:13 || Estimated Time: 7:55:56
2023-07-21 06:40:46,605 semantic_segmentation INFO: Iters: 41960/50000 || Lr: 0.003861 || Task Loss: 0.1061 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:20:50 || Estimated Time: 7:55:21
2023-07-21 06:41:23,681 semantic_segmentation INFO: Iters: 41970/50000 || Lr: 0.003857 || Task Loss: 0.1026 || KD Loss: 0.0242|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0860|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:21:27 || Estimated Time: 7:54:45
2023-07-21 06:42:01,004 semantic_segmentation INFO: Iters: 41980/50000 || Lr: 0.003853 || Task Loss: 0.0972 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:22:04 || Estimated Time: 7:54:10
2023-07-21 06:42:38,359 semantic_segmentation INFO: Iters: 41990/50000 || Lr: 0.003848 || Task Loss: 0.1109 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:22:41 || Estimated Time: 7:53:35
2023-07-21 06:43:14,918 semantic_segmentation INFO: Iters: 42000/50000 || Lr: 0.003844 || Task Loss: 0.1154 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:23:18 || Estimated Time: 7:53:00
2023-07-21 06:43:52,291 semantic_segmentation INFO: Iters: 42010/50000 || Lr: 0.003840 || Task Loss: 0.1045 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:23:55 || Estimated Time: 7:52:25
2023-07-21 06:44:29,448 semantic_segmentation INFO: Iters: 42020/50000 || Lr: 0.003835 || Task Loss: 0.1295 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0865|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:24:33 || Estimated Time: 7:51:50
2023-07-21 06:45:06,781 semantic_segmentation INFO: Iters: 42030/50000 || Lr: 0.003831 || Task Loss: 0.1217 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:25:10 || Estimated Time: 7:51:15
2023-07-21 06:45:44,063 semantic_segmentation INFO: Iters: 42040/50000 || Lr: 0.003827 || Task Loss: 0.1133 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:25:47 || Estimated Time: 7:50:39
2023-07-21 06:46:21,228 semantic_segmentation INFO: Iters: 42050/50000 || Lr: 0.003822 || Task Loss: 0.1192 || KD Loss: 0.0363|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1107|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:26:24 || Estimated Time: 7:50:04
2023-07-21 06:46:58,033 semantic_segmentation INFO: Iters: 42060/50000 || Lr: 0.003818 || Task Loss: 0.1185 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:27:01 || Estimated Time: 7:49:29
2023-07-21 06:47:35,213 semantic_segmentation INFO: Iters: 42070/50000 || Lr: 0.003814 || Task Loss: 0.1079 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:27:38 || Estimated Time: 7:48:54
2023-07-21 06:48:12,407 semantic_segmentation INFO: Iters: 42080/50000 || Lr: 0.003809 || Task Loss: 0.1103 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0815|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:28:16 || Estimated Time: 7:48:19
2023-07-21 06:48:49,508 semantic_segmentation INFO: Iters: 42090/50000 || Lr: 0.003805 || Task Loss: 0.1099 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0844|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:28:53 || Estimated Time: 7:47:44
2023-07-21 06:49:26,443 semantic_segmentation INFO: Iters: 42100/50000 || Lr: 0.003801 || Task Loss: 0.1091 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:29:30 || Estimated Time: 7:47:08
2023-07-21 06:50:03,710 semantic_segmentation INFO: Iters: 42110/50000 || Lr: 0.003796 || Task Loss: 0.0962 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:30:07 || Estimated Time: 7:46:33
2023-07-21 06:50:40,989 semantic_segmentation INFO: Iters: 42120/50000 || Lr: 0.003792 || Task Loss: 0.1175 || KD Loss: 0.0364|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:30:44 || Estimated Time: 7:45:58
2023-07-21 06:51:18,812 semantic_segmentation INFO: Iters: 42130/50000 || Lr: 0.003788 || Task Loss: 0.1104 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:31:22 || Estimated Time: 7:45:23
2023-07-21 06:51:56,058 semantic_segmentation INFO: Iters: 42140/50000 || Lr: 0.003783 || Task Loss: 0.1195 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0823|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:31:59 || Estimated Time: 7:44:48
2023-07-21 06:52:33,001 semantic_segmentation INFO: Iters: 42150/50000 || Lr: 0.003779 || Task Loss: 0.1162 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:32:36 || Estimated Time: 7:44:13
2023-07-21 06:53:10,087 semantic_segmentation INFO: Iters: 42160/50000 || Lr: 0.003775 || Task Loss: 0.0993 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1131|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:33:13 || Estimated Time: 7:43:37
2023-07-21 06:53:47,884 semantic_segmentation INFO: Iters: 42170/50000 || Lr: 0.003770 || Task Loss: 0.0986 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1114|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:33:51 || Estimated Time: 7:43:02
2023-07-21 06:54:24,978 semantic_segmentation INFO: Iters: 42180/50000 || Lr: 0.003766 || Task Loss: 0.1000 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:34:28 || Estimated Time: 7:42:27
2023-07-21 06:55:02,067 semantic_segmentation INFO: Iters: 42190/50000 || Lr: 0.003762 || Task Loss: 0.0972 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:35:05 || Estimated Time: 7:41:52
2023-07-21 06:55:39,562 semantic_segmentation INFO: Iters: 42200/50000 || Lr: 0.003757 || Task Loss: 0.1003 || KD Loss: 0.0235|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0869|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:35:43 || Estimated Time: 7:41:17
2023-07-21 06:56:16,127 semantic_segmentation INFO: Iters: 42210/50000 || Lr: 0.003753 || Task Loss: 0.1247 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:36:19 || Estimated Time: 7:40:42
2023-07-21 06:56:53,640 semantic_segmentation INFO: Iters: 42220/50000 || Lr: 0.003749 || Task Loss: 0.1109 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:36:57 || Estimated Time: 7:40:07
2023-07-21 06:57:30,838 semantic_segmentation INFO: Iters: 42230/50000 || Lr: 0.003744 || Task Loss: 0.1055 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:37:34 || Estimated Time: 7:39:31
2023-07-21 06:58:08,437 semantic_segmentation INFO: Iters: 42240/50000 || Lr: 0.003740 || Task Loss: 0.0929 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1048|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:38:12 || Estimated Time: 7:38:56
2023-07-21 06:58:45,213 semantic_segmentation INFO: Iters: 42250/50000 || Lr: 0.003736 || Task Loss: 0.1041 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:38:48 || Estimated Time: 7:38:21
2023-07-21 06:59:22,776 semantic_segmentation INFO: Iters: 42260/50000 || Lr: 0.003731 || Task Loss: 0.1228 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:39:26 || Estimated Time: 7:37:46
2023-07-21 06:59:59,983 semantic_segmentation INFO: Iters: 42270/50000 || Lr: 0.003727 || Task Loss: 0.1019 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1141|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:40:03 || Estimated Time: 7:37:11
2023-07-21 07:00:37,107 semantic_segmentation INFO: Iters: 42280/50000 || Lr: 0.003723 || Task Loss: 0.1031 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1119|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:40:40 || Estimated Time: 7:36:36
2023-07-21 07:01:14,606 semantic_segmentation INFO: Iters: 42290/50000 || Lr: 0.003718 || Task Loss: 0.0954 || KD Loss: 0.0229|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:41:18 || Estimated Time: 7:36:00
2023-07-21 07:01:51,754 semantic_segmentation INFO: Iters: 42300/50000 || Lr: 0.003714 || Task Loss: 0.1182 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:41:55 || Estimated Time: 7:35:25
2023-07-21 07:02:29,771 semantic_segmentation INFO: Iters: 42310/50000 || Lr: 0.003710 || Task Loss: 0.0901 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:42:33 || Estimated Time: 7:34:50
2023-07-21 07:03:06,625 semantic_segmentation INFO: Iters: 42320/50000 || Lr: 0.003705 || Task Loss: 0.1010 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:43:10 || Estimated Time: 7:34:15
2023-07-21 07:03:44,136 semantic_segmentation INFO: Iters: 42330/50000 || Lr: 0.003701 || Task Loss: 0.0909 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:43:47 || Estimated Time: 7:33:40
2023-07-21 07:04:21,350 semantic_segmentation INFO: Iters: 42340/50000 || Lr: 0.003697 || Task Loss: 0.1010 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:44:24 || Estimated Time: 7:33:05
2023-07-21 07:04:59,022 semantic_segmentation INFO: Iters: 42350/50000 || Lr: 0.003692 || Task Loss: 0.1176 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:45:02 || Estimated Time: 7:32:30
2023-07-21 07:05:36,041 semantic_segmentation INFO: Iters: 42360/50000 || Lr: 0.003688 || Task Loss: 0.1167 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:45:39 || Estimated Time: 7:31:54
2023-07-21 07:06:13,643 semantic_segmentation INFO: Iters: 42370/50000 || Lr: 0.003684 || Task Loss: 0.1023 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:46:17 || Estimated Time: 7:31:19
2023-07-21 07:06:50,773 semantic_segmentation INFO: Iters: 42380/50000 || Lr: 0.003679 || Task Loss: 0.1089 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:46:54 || Estimated Time: 7:30:44
2023-07-21 07:07:28,045 semantic_segmentation INFO: Iters: 42390/50000 || Lr: 0.003675 || Task Loss: 0.1164 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0846|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:47:31 || Estimated Time: 7:30:09
2023-07-21 07:08:05,905 semantic_segmentation INFO: Iters: 42400/50000 || Lr: 0.003671 || Task Loss: 0.1138 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0843|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:48:09 || Estimated Time: 7:29:34
2023-07-21 07:08:05,974 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 07:08:06,344 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.708
2023-07-21 07:08:06,385 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.712
2023-07-21 07:08:06,400 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.711
2023-07-21 07:08:06,414 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-21 07:08:06,428 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 07:08:06,443 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 07:08:06,457 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 07:08:06,472 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 07:08:06,486 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 07:08:06,501 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.703
2023-07-21 07:08:06,516 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.705
2023-07-21 07:08:06,531 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-21 07:08:06,546 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-21 07:08:06,561 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-21 07:08:06,575 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.706
2023-07-21 07:08:06,590 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-21 07:08:06,604 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-21 07:08:06,619 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.701
2023-07-21 07:08:06,633 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.699
2023-07-21 07:08:06,648 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.697
2023-07-21 07:08:06,662 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.696
2023-07-21 07:08:06,677 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.694
2023-07-21 07:08:06,692 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.693
2023-07-21 07:08:06,707 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 07:08:06,723 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 07:08:06,738 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 07:08:06,753 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 07:08:06,769 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 07:08:06,784 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 07:08:06,798 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 07:08:06,813 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-21 07:08:06,828 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-21 07:08:06,842 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.693
2023-07-21 07:08:06,857 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.694
2023-07-21 07:08:06,872 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.695
2023-07-21 07:08:06,886 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-21 07:08:06,901 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 07:08:06,915 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-21 07:08:06,930 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 07:08:06,944 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 07:08:06,959 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 07:08:06,973 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 07:08:06,988 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-21 07:08:07,002 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 07:08:07,017 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 07:08:07,031 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 07:08:07,045 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 07:08:07,060 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-21 07:08:07,074 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.707
2023-07-21 07:08:07,089 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.707
2023-07-21 07:08:07,104 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.707
2023-07-21 07:08:07,120 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 07:08:07,135 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-21 07:08:07,150 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-21 07:08:07,165 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 07:08:07,180 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 07:08:07,196 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 07:08:07,211 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 07:08:07,226 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 07:08:07,241 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 07:08:07,256 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-21 07:08:07,272 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-21 07:08:07,287 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 07:08:07,301 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.710
2023-07-21 07:08:07,316 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 07:08:07,330 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.711
2023-07-21 07:08:07,345 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.712
2023-07-21 07:08:07,359 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.713
2023-07-21 07:08:07,374 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.714
2023-07-21 07:08:07,388 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-21 07:08:07,402 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-21 07:08:07,417 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 07:08:07,431 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 07:08:07,445 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-21 07:08:07,460 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 07:08:07,474 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 07:08:07,488 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.711
2023-07-21 07:08:07,502 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 07:08:07,518 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 07:08:07,533 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 07:08:07,548 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-21 07:08:07,563 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 07:08:07,578 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 07:08:07,594 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-21 07:08:07,609 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 07:08:07,623 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 07:08:07,638 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 07:08:07,653 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 07:08:07,668 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 07:08:07,683 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 07:08:07,698 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-21 07:08:07,712 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-21 07:08:07,726 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.700
2023-07-21 07:08:07,740 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 07:08:07,755 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 07:08:07,769 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 07:08:07,783 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 07:08:07,797 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 07:08:07,811 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-21 07:08:07,825 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-21 07:08:07,840 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-21 07:08:44,875 semantic_segmentation INFO: Iters: 42410/50000 || Lr: 0.003666 || Task Loss: 0.1033 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:48:48 || Estimated Time: 7:28:59
2023-07-21 07:09:22,051 semantic_segmentation INFO: Iters: 42420/50000 || Lr: 0.003662 || Task Loss: 0.1146 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:49:25 || Estimated Time: 7:28:24
2023-07-21 07:09:59,316 semantic_segmentation INFO: Iters: 42430/50000 || Lr: 0.003658 || Task Loss: 0.1091 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:50:02 || Estimated Time: 7:27:49
2023-07-21 07:10:36,621 semantic_segmentation INFO: Iters: 42440/50000 || Lr: 0.003653 || Task Loss: 0.1084 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:50:40 || Estimated Time: 7:27:13
2023-07-21 07:11:14,516 semantic_segmentation INFO: Iters: 42450/50000 || Lr: 0.003649 || Task Loss: 0.1115 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:51:18 || Estimated Time: 7:26:38
2023-07-21 07:11:51,373 semantic_segmentation INFO: Iters: 42460/50000 || Lr: 0.003645 || Task Loss: 0.1136 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:51:54 || Estimated Time: 7:26:03
2023-07-21 07:12:29,136 semantic_segmentation INFO: Iters: 42470/50000 || Lr: 0.003640 || Task Loss: 0.1013 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:52:32 || Estimated Time: 7:25:28
2023-07-21 07:13:06,370 semantic_segmentation INFO: Iters: 42480/50000 || Lr: 0.003636 || Task Loss: 0.1189 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0890|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:53:09 || Estimated Time: 7:24:53
2023-07-21 07:13:43,598 semantic_segmentation INFO: Iters: 42490/50000 || Lr: 0.003631 || Task Loss: 0.1166 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:53:47 || Estimated Time: 7:24:18
2023-07-21 07:14:20,986 semantic_segmentation INFO: Iters: 42500/50000 || Lr: 0.003627 || Task Loss: 0.1457 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0689|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:54:24 || Estimated Time: 7:23:42
2023-07-21 07:14:58,377 semantic_segmentation INFO: Iters: 42510/50000 || Lr: 0.003623 || Task Loss: 0.1097 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:55:01 || Estimated Time: 7:23:07
2023-07-21 07:15:35,774 semantic_segmentation INFO: Iters: 42520/50000 || Lr: 0.003618 || Task Loss: 0.1009 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:55:39 || Estimated Time: 7:22:32
2023-07-21 07:16:13,299 semantic_segmentation INFO: Iters: 42530/50000 || Lr: 0.003614 || Task Loss: 0.1078 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:56:16 || Estimated Time: 7:21:57
2023-07-21 07:16:50,870 semantic_segmentation INFO: Iters: 42540/50000 || Lr: 0.003610 || Task Loss: 0.0949 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1166|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:56:54 || Estimated Time: 7:21:22
2023-07-21 07:17:28,865 semantic_segmentation INFO: Iters: 42550/50000 || Lr: 0.003605 || Task Loss: 0.1038 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:57:32 || Estimated Time: 7:20:47
2023-07-21 07:18:05,943 semantic_segmentation INFO: Iters: 42560/50000 || Lr: 0.003601 || Task Loss: 0.1131 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:58:09 || Estimated Time: 7:20:12
2023-07-21 07:18:43,656 semantic_segmentation INFO: Iters: 42570/50000 || Lr: 0.003597 || Task Loss: 0.1023 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0826|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:58:47 || Estimated Time: 7:19:36
2023-07-21 07:19:20,906 semantic_segmentation INFO: Iters: 42580/50000 || Lr: 0.003592 || Task Loss: 0.0993 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:59:24 || Estimated Time: 7:19:01
2023-07-21 07:19:58,379 semantic_segmentation INFO: Iters: 42590/50000 || Lr: 0.003588 || Task Loss: 0.1130 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:00:01 || Estimated Time: 7:18:26
2023-07-21 07:20:35,528 semantic_segmentation INFO: Iters: 42600/50000 || Lr: 0.003584 || Task Loss: 0.1184 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:00:39 || Estimated Time: 7:17:51
2023-07-21 07:21:13,228 semantic_segmentation INFO: Iters: 42610/50000 || Lr: 0.003579 || Task Loss: 0.1216 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0793|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:01:16 || Estimated Time: 7:17:16
2023-07-21 07:21:51,081 semantic_segmentation INFO: Iters: 42620/50000 || Lr: 0.003575 || Task Loss: 0.1068 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:01:54 || Estimated Time: 7:16:41
2023-07-21 07:22:28,055 semantic_segmentation INFO: Iters: 42630/50000 || Lr: 0.003571 || Task Loss: 0.0983 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:02:31 || Estimated Time: 7:16:05
2023-07-21 07:23:05,578 semantic_segmentation INFO: Iters: 42640/50000 || Lr: 0.003566 || Task Loss: 0.0981 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:03:09 || Estimated Time: 7:15:30
2023-07-21 07:23:43,012 semantic_segmentation INFO: Iters: 42650/50000 || Lr: 0.003562 || Task Loss: 0.1032 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:03:46 || Estimated Time: 7:14:55
2023-07-21 07:24:20,802 semantic_segmentation INFO: Iters: 42660/50000 || Lr: 0.003557 || Task Loss: 0.1168 || KD Loss: 0.0362|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:04:24 || Estimated Time: 7:14:20
2023-07-21 07:24:58,212 semantic_segmentation INFO: Iters: 42670/50000 || Lr: 0.003553 || Task Loss: 0.0918 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1126|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:05:01 || Estimated Time: 7:13:45
2023-07-21 07:25:35,728 semantic_segmentation INFO: Iters: 42680/50000 || Lr: 0.003549 || Task Loss: 0.1004 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1005|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:05:39 || Estimated Time: 7:13:10
2023-07-21 07:26:13,402 semantic_segmentation INFO: Iters: 42690/50000 || Lr: 0.003544 || Task Loss: 0.1161 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:06:17 || Estimated Time: 7:12:34
2023-07-21 07:26:50,845 semantic_segmentation INFO: Iters: 42700/50000 || Lr: 0.003540 || Task Loss: 0.1072 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:06:54 || Estimated Time: 7:11:59
2023-07-21 07:27:28,073 semantic_segmentation INFO: Iters: 42710/50000 || Lr: 0.003536 || Task Loss: 0.1013 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:07:31 || Estimated Time: 7:11:24
2023-07-21 07:28:05,761 semantic_segmentation INFO: Iters: 42720/50000 || Lr: 0.003531 || Task Loss: 0.1150 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0819|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:08:09 || Estimated Time: 7:10:49
2023-07-21 07:28:42,925 semantic_segmentation INFO: Iters: 42730/50000 || Lr: 0.003527 || Task Loss: 0.1063 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:08:46 || Estimated Time: 7:10:14
2023-07-21 07:29:20,624 semantic_segmentation INFO: Iters: 42740/50000 || Lr: 0.003523 || Task Loss: 0.1193 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:09:24 || Estimated Time: 7:09:39
2023-07-21 07:29:58,323 semantic_segmentation INFO: Iters: 42750/50000 || Lr: 0.003518 || Task Loss: 0.1083 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:10:01 || Estimated Time: 7:09:03
2023-07-21 07:30:35,488 semantic_segmentation INFO: Iters: 42760/50000 || Lr: 0.003514 || Task Loss: 0.1067 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0842|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:10:39 || Estimated Time: 7:08:28
2023-07-21 07:31:13,489 semantic_segmentation INFO: Iters: 42770/50000 || Lr: 0.003509 || Task Loss: 0.1057 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:11:17 || Estimated Time: 7:07:53
2023-07-21 07:31:50,551 semantic_segmentation INFO: Iters: 42780/50000 || Lr: 0.003505 || Task Loss: 0.0929 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1051|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:11:54 || Estimated Time: 7:07:18
2023-07-21 07:32:28,331 semantic_segmentation INFO: Iters: 42790/50000 || Lr: 0.003501 || Task Loss: 0.1051 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:12:31 || Estimated Time: 7:06:43
2023-07-21 07:33:05,896 semantic_segmentation INFO: Iters: 42800/50000 || Lr: 0.003496 || Task Loss: 0.1048 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0883|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:13:09 || Estimated Time: 7:06:08
2023-07-21 07:33:43,901 semantic_segmentation INFO: Iters: 42810/50000 || Lr: 0.003492 || Task Loss: 0.0938 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:13:47 || Estimated Time: 7:05:33
2023-07-21 07:34:21,007 semantic_segmentation INFO: Iters: 42820/50000 || Lr: 0.003488 || Task Loss: 0.1045 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:14:24 || Estimated Time: 7:04:57
2023-07-21 07:34:59,256 semantic_segmentation INFO: Iters: 42830/50000 || Lr: 0.003483 || Task Loss: 0.1266 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0880|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:15:02 || Estimated Time: 7:04:22
2023-07-21 07:35:36,968 semantic_segmentation INFO: Iters: 42840/50000 || Lr: 0.003479 || Task Loss: 0.1014 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:15:40 || Estimated Time: 7:03:47
2023-07-21 07:36:14,075 semantic_segmentation INFO: Iters: 42850/50000 || Lr: 0.003474 || Task Loss: 0.1057 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:16:17 || Estimated Time: 7:03:12
2023-07-21 07:36:51,514 semantic_segmentation INFO: Iters: 42860/50000 || Lr: 0.003470 || Task Loss: 0.0964 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:16:55 || Estimated Time: 7:02:37
2023-07-21 07:37:29,130 semantic_segmentation INFO: Iters: 42870/50000 || Lr: 0.003466 || Task Loss: 0.1089 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:17:32 || Estimated Time: 7:02:01
2023-07-21 07:38:06,841 semantic_segmentation INFO: Iters: 42880/50000 || Lr: 0.003461 || Task Loss: 0.0915 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:18:10 || Estimated Time: 7:01:26
2023-07-21 07:38:45,043 semantic_segmentation INFO: Iters: 42890/50000 || Lr: 0.003457 || Task Loss: 0.0913 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:18:48 || Estimated Time: 7:00:51
2023-07-21 07:39:22,469 semantic_segmentation INFO: Iters: 42900/50000 || Lr: 0.003453 || Task Loss: 0.1016 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:19:26 || Estimated Time: 7:00:16
2023-07-21 07:40:00,034 semantic_segmentation INFO: Iters: 42910/50000 || Lr: 0.003448 || Task Loss: 0.1076 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0922|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:20:03 || Estimated Time: 6:59:41
2023-07-21 07:40:37,894 semantic_segmentation INFO: Iters: 42920/50000 || Lr: 0.003444 || Task Loss: 0.0966 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:20:41 || Estimated Time: 6:59:06
2023-07-21 07:41:15,078 semantic_segmentation INFO: Iters: 42930/50000 || Lr: 0.003439 || Task Loss: 0.1153 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0862|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:21:18 || Estimated Time: 6:58:31
2023-07-21 07:41:52,611 semantic_segmentation INFO: Iters: 42940/50000 || Lr: 0.003435 || Task Loss: 0.1303 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0734|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:21:56 || Estimated Time: 6:57:55
2023-07-21 07:42:30,726 semantic_segmentation INFO: Iters: 42950/50000 || Lr: 0.003431 || Task Loss: 0.1220 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0747|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:22:34 || Estimated Time: 6:57:20
2023-07-21 07:43:07,744 semantic_segmentation INFO: Iters: 42960/50000 || Lr: 0.003426 || Task Loss: 0.0907 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:23:11 || Estimated Time: 6:56:45
2023-07-21 07:43:45,472 semantic_segmentation INFO: Iters: 42970/50000 || Lr: 0.003422 || Task Loss: 0.0977 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0822|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:23:49 || Estimated Time: 6:56:10
2023-07-21 07:44:23,059 semantic_segmentation INFO: Iters: 42980/50000 || Lr: 0.003418 || Task Loss: 0.1199 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:24:26 || Estimated Time: 6:55:35
2023-07-21 07:45:00,606 semantic_segmentation INFO: Iters: 42990/50000 || Lr: 0.003413 || Task Loss: 0.1024 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:25:04 || Estimated Time: 6:54:59
2023-07-21 07:45:38,688 semantic_segmentation INFO: Iters: 43000/50000 || Lr: 0.003409 || Task Loss: 0.1076 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:25:42 || Estimated Time: 6:54:24
2023-07-21 07:46:16,344 semantic_segmentation INFO: Iters: 43010/50000 || Lr: 0.003404 || Task Loss: 0.0982 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1073|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:26:19 || Estimated Time: 6:53:49
2023-07-21 07:46:54,044 semantic_segmentation INFO: Iters: 43020/50000 || Lr: 0.003400 || Task Loss: 0.1053 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:26:57 || Estimated Time: 6:53:14
2023-07-21 07:47:31,466 semantic_segmentation INFO: Iters: 43030/50000 || Lr: 0.003396 || Task Loss: 0.1007 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:27:35 || Estimated Time: 6:52:39
2023-07-21 07:48:09,234 semantic_segmentation INFO: Iters: 43040/50000 || Lr: 0.003391 || Task Loss: 0.1068 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1026|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:28:12 || Estimated Time: 6:52:04
2023-07-21 07:48:46,651 semantic_segmentation INFO: Iters: 43050/50000 || Lr: 0.003387 || Task Loss: 0.1140 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:28:50 || Estimated Time: 6:51:28
2023-07-21 07:49:24,219 semantic_segmentation INFO: Iters: 43060/50000 || Lr: 0.003382 || Task Loss: 0.1001 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:29:27 || Estimated Time: 6:50:53
2023-07-21 07:50:01,850 semantic_segmentation INFO: Iters: 43070/50000 || Lr: 0.003378 || Task Loss: 0.1212 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0877|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:30:05 || Estimated Time: 6:50:18
2023-07-21 07:50:39,835 semantic_segmentation INFO: Iters: 43080/50000 || Lr: 0.003374 || Task Loss: 0.0930 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:30:43 || Estimated Time: 6:49:43
2023-07-21 07:51:17,287 semantic_segmentation INFO: Iters: 43090/50000 || Lr: 0.003369 || Task Loss: 0.1040 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:31:20 || Estimated Time: 6:49:08
2023-07-21 07:51:55,149 semantic_segmentation INFO: Iters: 43100/50000 || Lr: 0.003365 || Task Loss: 0.0954 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:31:58 || Estimated Time: 6:48:33
2023-07-21 07:52:32,400 semantic_segmentation INFO: Iters: 43110/50000 || Lr: 0.003361 || Task Loss: 0.0970 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:32:36 || Estimated Time: 6:47:57
2023-07-21 07:53:10,779 semantic_segmentation INFO: Iters: 43120/50000 || Lr: 0.003356 || Task Loss: 0.1091 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:33:14 || Estimated Time: 6:47:22
2023-07-21 07:53:48,215 semantic_segmentation INFO: Iters: 43130/50000 || Lr: 0.003352 || Task Loss: 0.0956 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:33:51 || Estimated Time: 6:46:47
2023-07-21 07:54:25,943 semantic_segmentation INFO: Iters: 43140/50000 || Lr: 0.003347 || Task Loss: 0.1059 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0897|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:34:29 || Estimated Time: 6:46:12
2023-07-21 07:55:03,704 semantic_segmentation INFO: Iters: 43150/50000 || Lr: 0.003343 || Task Loss: 0.1288 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0801|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:35:07 || Estimated Time: 6:45:37
2023-07-21 07:55:41,201 semantic_segmentation INFO: Iters: 43160/50000 || Lr: 0.003339 || Task Loss: 0.0966 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:35:44 || Estimated Time: 6:45:01
2023-07-21 07:56:19,209 semantic_segmentation INFO: Iters: 43170/50000 || Lr: 0.003334 || Task Loss: 0.1191 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:36:22 || Estimated Time: 6:44:26
2023-07-21 07:56:56,820 semantic_segmentation INFO: Iters: 43180/50000 || Lr: 0.003330 || Task Loss: 0.1089 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:37:00 || Estimated Time: 6:43:51
2023-07-21 07:57:33,787 semantic_segmentation INFO: Iters: 43190/50000 || Lr: 0.003325 || Task Loss: 0.0985 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:37:37 || Estimated Time: 6:43:16
2023-07-21 07:58:11,439 semantic_segmentation INFO: Iters: 43200/50000 || Lr: 0.003321 || Task Loss: 0.1127 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0804|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:38:15 || Estimated Time: 6:42:41
2023-07-21 07:58:11,508 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 07:58:11,875 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.709
2023-07-21 07:58:11,892 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.714
2023-07-21 07:58:11,907 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.713
2023-07-21 07:58:11,920 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.709
2023-07-21 07:58:11,934 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 07:58:11,948 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 07:58:11,962 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.703
2023-07-21 07:58:11,976 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 07:58:11,989 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.703
2023-07-21 07:58:12,003 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 07:58:12,017 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.705
2023-07-21 07:58:12,031 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.703
2023-07-21 07:58:12,045 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.704
2023-07-21 07:58:12,059 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-21 07:58:12,074 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-21 07:58:12,088 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.704
2023-07-21 07:58:12,102 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.702
2023-07-21 07:58:12,116 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-21 07:58:12,131 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.698
2023-07-21 07:58:12,145 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.696
2023-07-21 07:58:12,160 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.696
2023-07-21 07:58:12,174 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.694
2023-07-21 07:58:12,189 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-21 07:58:12,203 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 07:58:12,218 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 07:58:12,232 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 07:58:12,247 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 07:58:12,262 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 07:58:12,277 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 07:58:12,292 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 07:58:12,308 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 07:58:12,323 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-21 07:58:12,338 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.692
2023-07-21 07:58:12,354 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.693
2023-07-21 07:58:12,369 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.695
2023-07-21 07:58:12,384 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-21 07:58:12,399 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 07:58:12,414 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-21 07:58:12,430 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 07:58:12,445 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 07:58:12,460 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 07:58:12,476 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 07:58:12,491 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 07:58:12,506 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 07:58:12,521 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.951, mIoU: 0.702
2023-07-21 07:58:12,536 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.951, mIoU: 0.704
2023-07-21 07:58:12,550 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-21 07:58:12,565 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.951, mIoU: 0.707
2023-07-21 07:58:12,580 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.951, mIoU: 0.707
2023-07-21 07:58:12,595 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.950, mIoU: 0.707
2023-07-21 07:58:12,609 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.707
2023-07-21 07:58:12,624 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-21 07:58:12,639 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-21 07:58:12,653 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-21 07:58:12,668 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 07:58:12,683 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 07:58:12,697 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 07:58:12,712 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 07:58:12,726 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-21 07:58:12,741 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-21 07:58:12,756 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-21 07:58:12,770 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-21 07:58:12,785 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-21 07:58:12,800 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-21 07:58:12,814 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 07:58:12,829 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 07:58:12,844 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-21 07:58:12,858 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-21 07:58:12,873 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.942, mIoU: 0.715
2023-07-21 07:58:12,888 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-21 07:58:12,902 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 07:58:12,917 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 07:58:12,932 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.716
2023-07-21 07:58:12,946 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 07:58:12,961 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 07:58:12,975 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-21 07:58:12,990 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 07:58:13,005 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 07:58:13,020 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 07:58:13,034 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-21 07:58:13,049 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 07:58:13,063 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 07:58:13,078 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-21 07:58:13,093 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 07:58:13,107 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-21 07:58:13,122 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.707
2023-07-21 07:58:13,136 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-21 07:58:13,151 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 07:58:13,165 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 07:58:13,179 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 07:58:13,194 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 07:58:13,208 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 07:58:13,223 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 07:58:13,237 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 07:58:13,252 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 07:58:13,266 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 07:58:13,280 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 07:58:13,295 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.936, mIoU: 0.700
2023-07-21 07:58:13,309 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.936, mIoU: 0.699
2023-07-21 07:58:13,323 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.936, mIoU: 0.698
2023-07-21 07:58:13,338 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.936, mIoU: 0.697
2023-07-21 07:58:50,840 semantic_segmentation INFO: Iters: 43210/50000 || Lr: 0.003317 || Task Loss: 0.0968 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:38:54 || Estimated Time: 6:42:06
2023-07-21 07:59:28,582 semantic_segmentation INFO: Iters: 43220/50000 || Lr: 0.003312 || Task Loss: 0.1053 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:39:32 || Estimated Time: 6:41:30
2023-07-21 08:00:06,916 semantic_segmentation INFO: Iters: 43230/50000 || Lr: 0.003308 || Task Loss: 0.1228 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0825|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:40:10 || Estimated Time: 6:40:55
2023-07-21 08:00:44,825 semantic_segmentation INFO: Iters: 43240/50000 || Lr: 0.003303 || Task Loss: 0.1126 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:40:48 || Estimated Time: 6:40:20
2023-07-21 08:01:22,349 semantic_segmentation INFO: Iters: 43250/50000 || Lr: 0.003299 || Task Loss: 0.0888 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0884|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:41:25 || Estimated Time: 6:39:45
2023-07-21 08:01:59,759 semantic_segmentation INFO: Iters: 43260/50000 || Lr: 0.003295 || Task Loss: 0.1020 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:42:03 || Estimated Time: 6:39:10
2023-07-21 08:02:37,745 semantic_segmentation INFO: Iters: 43270/50000 || Lr: 0.003290 || Task Loss: 0.1026 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:42:41 || Estimated Time: 6:38:35
2023-07-21 08:03:15,201 semantic_segmentation INFO: Iters: 43280/50000 || Lr: 0.003286 || Task Loss: 0.1077 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1085|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:43:18 || Estimated Time: 6:37:59
2023-07-21 08:03:52,979 semantic_segmentation INFO: Iters: 43290/50000 || Lr: 0.003281 || Task Loss: 0.0870 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:43:56 || Estimated Time: 6:37:24
2023-07-21 08:04:30,787 semantic_segmentation INFO: Iters: 43300/50000 || Lr: 0.003277 || Task Loss: 0.1163 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:44:34 || Estimated Time: 6:36:49
2023-07-21 08:05:08,671 semantic_segmentation INFO: Iters: 43310/50000 || Lr: 0.003273 || Task Loss: 0.0994 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0930|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:45:12 || Estimated Time: 6:36:14
2023-07-21 08:05:46,793 semantic_segmentation INFO: Iters: 43320/50000 || Lr: 0.003268 || Task Loss: 0.1377 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0809|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:45:50 || Estimated Time: 6:35:39
2023-07-21 08:06:24,394 semantic_segmentation INFO: Iters: 43330/50000 || Lr: 0.003264 || Task Loss: 0.0996 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:46:27 || Estimated Time: 6:35:03
2023-07-21 08:07:02,039 semantic_segmentation INFO: Iters: 43340/50000 || Lr: 0.003259 || Task Loss: 0.0988 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:47:05 || Estimated Time: 6:34:28
2023-07-21 08:07:40,529 semantic_segmentation INFO: Iters: 43350/50000 || Lr: 0.003255 || Task Loss: 0.0845 || KD Loss: 0.0236|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:47:44 || Estimated Time: 6:33:53
2023-07-21 08:08:17,685 semantic_segmentation INFO: Iters: 43360/50000 || Lr: 0.003251 || Task Loss: 0.0902 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:48:21 || Estimated Time: 6:33:18
2023-07-21 08:08:55,597 semantic_segmentation INFO: Iters: 43370/50000 || Lr: 0.003246 || Task Loss: 0.0923 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:48:59 || Estimated Time: 6:32:43
2023-07-21 08:09:33,778 semantic_segmentation INFO: Iters: 43380/50000 || Lr: 0.003242 || Task Loss: 0.0970 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:49:37 || Estimated Time: 6:32:08
2023-07-21 08:10:11,762 semantic_segmentation INFO: Iters: 43390/50000 || Lr: 0.003237 || Task Loss: 0.0980 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:50:15 || Estimated Time: 6:31:32
2023-07-21 08:10:49,281 semantic_segmentation INFO: Iters: 43400/50000 || Lr: 0.003233 || Task Loss: 0.1127 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:50:52 || Estimated Time: 6:30:57
2023-07-21 08:11:27,153 semantic_segmentation INFO: Iters: 43410/50000 || Lr: 0.003229 || Task Loss: 0.1052 || KD Loss: 0.0317|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:51:30 || Estimated Time: 6:30:22
2023-07-21 08:12:05,056 semantic_segmentation INFO: Iters: 43420/50000 || Lr: 0.003224 || Task Loss: 0.1145 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:52:08 || Estimated Time: 6:29:47
2023-07-21 08:12:42,746 semantic_segmentation INFO: Iters: 43430/50000 || Lr: 0.003220 || Task Loss: 0.1039 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:52:46 || Estimated Time: 6:29:12
2023-07-21 08:13:20,694 semantic_segmentation INFO: Iters: 43440/50000 || Lr: 0.003215 || Task Loss: 0.1235 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:53:24 || Estimated Time: 6:28:36
2023-07-21 08:13:58,438 semantic_segmentation INFO: Iters: 43450/50000 || Lr: 0.003211 || Task Loss: 0.1310 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:54:02 || Estimated Time: 6:28:01
2023-07-21 08:14:36,670 semantic_segmentation INFO: Iters: 43460/50000 || Lr: 0.003207 || Task Loss: 0.0888 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:54:40 || Estimated Time: 6:27:26
2023-07-21 08:15:14,731 semantic_segmentation INFO: Iters: 43470/50000 || Lr: 0.003202 || Task Loss: 0.1058 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:55:18 || Estimated Time: 6:26:51
2023-07-21 08:15:52,343 semantic_segmentation INFO: Iters: 43480/50000 || Lr: 0.003198 || Task Loss: 0.1115 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0934|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:55:55 || Estimated Time: 6:26:16
2023-07-21 08:16:30,085 semantic_segmentation INFO: Iters: 43490/50000 || Lr: 0.003193 || Task Loss: 0.1125 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:56:33 || Estimated Time: 6:25:40
2023-07-21 08:17:07,936 semantic_segmentation INFO: Iters: 43500/50000 || Lr: 0.003189 || Task Loss: 0.0960 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:57:11 || Estimated Time: 6:25:05
2023-07-21 08:17:45,555 semantic_segmentation INFO: Iters: 43510/50000 || Lr: 0.003184 || Task Loss: 0.1065 || KD Loss: 0.0338|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:57:49 || Estimated Time: 6:24:30
2023-07-21 08:18:23,660 semantic_segmentation INFO: Iters: 43520/50000 || Lr: 0.003180 || Task Loss: 0.1319 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0827|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:58:27 || Estimated Time: 6:23:55
2023-07-21 08:19:01,345 semantic_segmentation INFO: Iters: 43530/50000 || Lr: 0.003176 || Task Loss: 0.1159 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:59:04 || Estimated Time: 6:23:20
2023-07-21 08:19:39,876 semantic_segmentation INFO: Iters: 43540/50000 || Lr: 0.003171 || Task Loss: 0.1036 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1127|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:59:43 || Estimated Time: 6:22:44
2023-07-21 08:20:17,844 semantic_segmentation INFO: Iters: 43550/50000 || Lr: 0.003167 || Task Loss: 0.0976 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:00:21 || Estimated Time: 6:22:09
2023-07-21 08:20:55,621 semantic_segmentation INFO: Iters: 43560/50000 || Lr: 0.003162 || Task Loss: 0.1075 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:00:59 || Estimated Time: 6:21:34
2023-07-21 08:21:33,833 semantic_segmentation INFO: Iters: 43570/50000 || Lr: 0.003158 || Task Loss: 0.1055 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:01:37 || Estimated Time: 6:20:59
2023-07-21 08:22:11,620 semantic_segmentation INFO: Iters: 43580/50000 || Lr: 0.003154 || Task Loss: 0.1223 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0885|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:02:15 || Estimated Time: 6:20:24
2023-07-21 08:22:49,504 semantic_segmentation INFO: Iters: 43590/50000 || Lr: 0.003149 || Task Loss: 0.1045 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:02:53 || Estimated Time: 6:19:48
2023-07-21 08:23:27,602 semantic_segmentation INFO: Iters: 43600/50000 || Lr: 0.003145 || Task Loss: 0.1082 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1125|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:03:31 || Estimated Time: 6:19:13
2023-07-21 08:24:05,508 semantic_segmentation INFO: Iters: 43610/50000 || Lr: 0.003140 || Task Loss: 0.1089 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:04:09 || Estimated Time: 6:18:38
2023-07-21 08:24:44,005 semantic_segmentation INFO: Iters: 43620/50000 || Lr: 0.003136 || Task Loss: 0.0978 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1122|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:04:47 || Estimated Time: 6:18:03
2023-07-21 08:25:21,892 semantic_segmentation INFO: Iters: 43630/50000 || Lr: 0.003131 || Task Loss: 0.1029 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0996|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:05:25 || Estimated Time: 6:17:28
2023-07-21 08:26:00,128 semantic_segmentation INFO: Iters: 43640/50000 || Lr: 0.003127 || Task Loss: 0.1082 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:06:03 || Estimated Time: 6:16:53
2023-07-21 08:26:37,711 semantic_segmentation INFO: Iters: 43650/50000 || Lr: 0.003123 || Task Loss: 0.1110 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0827|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:06:41 || Estimated Time: 6:16:17
2023-07-21 08:27:15,882 semantic_segmentation INFO: Iters: 43660/50000 || Lr: 0.003118 || Task Loss: 0.0981 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1073|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:07:19 || Estimated Time: 6:15:42
2023-07-21 08:27:53,378 semantic_segmentation INFO: Iters: 43670/50000 || Lr: 0.003114 || Task Loss: 0.1111 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:07:56 || Estimated Time: 6:15:07
2023-07-21 08:28:31,228 semantic_segmentation INFO: Iters: 43680/50000 || Lr: 0.003109 || Task Loss: 0.1300 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0718|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:08:34 || Estimated Time: 6:14:32
2023-07-21 08:29:08,894 semantic_segmentation INFO: Iters: 43690/50000 || Lr: 0.003105 || Task Loss: 0.0884 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:09:12 || Estimated Time: 6:13:56
2023-07-21 08:29:47,379 semantic_segmentation INFO: Iters: 43700/50000 || Lr: 0.003100 || Task Loss: 0.1003 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1043|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:09:50 || Estimated Time: 6:13:21
2023-07-21 08:30:25,789 semantic_segmentation INFO: Iters: 43710/50000 || Lr: 0.003096 || Task Loss: 0.1191 || KD Loss: 0.0369|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:10:29 || Estimated Time: 6:12:46
2023-07-21 08:31:03,945 semantic_segmentation INFO: Iters: 43720/50000 || Lr: 0.003092 || Task Loss: 0.0997 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:11:07 || Estimated Time: 6:12:11
2023-07-21 08:31:41,558 semantic_segmentation INFO: Iters: 43730/50000 || Lr: 0.003087 || Task Loss: 0.1034 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:11:45 || Estimated Time: 6:11:36
2023-07-21 08:32:19,261 semantic_segmentation INFO: Iters: 43740/50000 || Lr: 0.003083 || Task Loss: 0.0973 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0897|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:12:22 || Estimated Time: 6:11:00
2023-07-21 08:32:57,357 semantic_segmentation INFO: Iters: 43750/50000 || Lr: 0.003078 || Task Loss: 0.1019 || KD Loss: 0.0320|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:13:00 || Estimated Time: 6:10:25
2023-07-21 08:33:35,507 semantic_segmentation INFO: Iters: 43760/50000 || Lr: 0.003074 || Task Loss: 0.1095 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:13:39 || Estimated Time: 6:09:50
2023-07-21 08:34:13,532 semantic_segmentation INFO: Iters: 43770/50000 || Lr: 0.003069 || Task Loss: 0.1082 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:14:17 || Estimated Time: 6:09:15
2023-07-21 08:34:51,529 semantic_segmentation INFO: Iters: 43780/50000 || Lr: 0.003065 || Task Loss: 0.1111 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0884|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:14:55 || Estimated Time: 6:08:40
2023-07-21 08:35:30,155 semantic_segmentation INFO: Iters: 43790/50000 || Lr: 0.003061 || Task Loss: 0.1116 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:15:33 || Estimated Time: 6:08:04
2023-07-21 08:36:07,917 semantic_segmentation INFO: Iters: 43800/50000 || Lr: 0.003056 || Task Loss: 0.1014 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:16:11 || Estimated Time: 6:07:29
2023-07-21 08:36:45,948 semantic_segmentation INFO: Iters: 43810/50000 || Lr: 0.003052 || Task Loss: 0.1263 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:16:49 || Estimated Time: 6:06:54
2023-07-21 08:37:24,149 semantic_segmentation INFO: Iters: 43820/50000 || Lr: 0.003047 || Task Loss: 0.0918 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:17:27 || Estimated Time: 6:06:19
2023-07-21 08:38:02,331 semantic_segmentation INFO: Iters: 43830/50000 || Lr: 0.003043 || Task Loss: 0.0972 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:18:05 || Estimated Time: 6:05:44
2023-07-21 08:38:40,153 semantic_segmentation INFO: Iters: 43840/50000 || Lr: 0.003038 || Task Loss: 0.0960 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0997|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:18:43 || Estimated Time: 6:05:08
2023-07-21 08:39:18,498 semantic_segmentation INFO: Iters: 43850/50000 || Lr: 0.003034 || Task Loss: 0.1061 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1072|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:19:22 || Estimated Time: 6:04:33
2023-07-21 08:39:56,383 semantic_segmentation INFO: Iters: 43860/50000 || Lr: 0.003030 || Task Loss: 0.1017 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0948|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:19:59 || Estimated Time: 6:03:58
2023-07-21 08:40:35,235 semantic_segmentation INFO: Iters: 43870/50000 || Lr: 0.003025 || Task Loss: 0.1110 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:20:38 || Estimated Time: 6:03:23
2023-07-21 08:41:13,059 semantic_segmentation INFO: Iters: 43880/50000 || Lr: 0.003021 || Task Loss: 0.1211 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:21:16 || Estimated Time: 6:02:48
2023-07-21 08:41:51,156 semantic_segmentation INFO: Iters: 43890/50000 || Lr: 0.003016 || Task Loss: 0.1152 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0984|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:21:54 || Estimated Time: 6:02:12
2023-07-21 08:42:29,633 semantic_segmentation INFO: Iters: 43900/50000 || Lr: 0.003012 || Task Loss: 0.1076 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:22:33 || Estimated Time: 6:01:37
2023-07-21 08:43:07,834 semantic_segmentation INFO: Iters: 43910/50000 || Lr: 0.003007 || Task Loss: 0.1096 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1006|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:23:11 || Estimated Time: 6:01:02
2023-07-21 08:43:45,632 semantic_segmentation INFO: Iters: 43920/50000 || Lr: 0.003003 || Task Loss: 0.1202 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:23:49 || Estimated Time: 6:00:27
2023-07-21 08:44:24,407 semantic_segmentation INFO: Iters: 43930/50000 || Lr: 0.002998 || Task Loss: 0.1046 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:24:28 || Estimated Time: 5:59:52
2023-07-21 08:45:02,211 semantic_segmentation INFO: Iters: 43940/50000 || Lr: 0.002994 || Task Loss: 0.1052 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:25:05 || Estimated Time: 5:59:16
2023-07-21 08:45:40,351 semantic_segmentation INFO: Iters: 43950/50000 || Lr: 0.002990 || Task Loss: 0.1045 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0843|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:25:43 || Estimated Time: 5:58:41
2023-07-21 08:46:19,251 semantic_segmentation INFO: Iters: 43960/50000 || Lr: 0.002985 || Task Loss: 0.0959 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0939|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:26:22 || Estimated Time: 5:58:06
2023-07-21 08:46:56,860 semantic_segmentation INFO: Iters: 43970/50000 || Lr: 0.002981 || Task Loss: 0.0937 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:27:00 || Estimated Time: 5:57:31
2023-07-21 08:47:34,929 semantic_segmentation INFO: Iters: 43980/50000 || Lr: 0.002976 || Task Loss: 0.1103 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0818|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:27:38 || Estimated Time: 5:56:55
2023-07-21 08:48:13,253 semantic_segmentation INFO: Iters: 43990/50000 || Lr: 0.002972 || Task Loss: 0.1012 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:28:16 || Estimated Time: 5:56:20
2023-07-21 08:48:51,590 semantic_segmentation INFO: Iters: 44000/50000 || Lr: 0.002967 || Task Loss: 0.1093 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0926|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:28:55 || Estimated Time: 5:55:45
2023-07-21 08:48:51,654 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 08:48:52,017 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.709
2023-07-21 08:48:52,064 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.715
2023-07-21 08:48:52,077 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.711
2023-07-21 08:48:52,090 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.707
2023-07-21 08:48:52,104 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 08:48:52,119 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 08:48:52,134 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 08:48:52,149 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 08:48:52,163 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 08:48:52,178 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.703
2023-07-21 08:48:52,192 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.703
2023-07-21 08:48:52,206 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-21 08:48:52,220 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 08:48:52,235 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 08:48:52,250 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 08:48:52,264 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-21 08:48:52,278 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-21 08:48:52,293 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-21 08:48:52,307 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-21 08:48:52,321 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 08:48:52,336 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 08:48:52,351 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-21 08:48:52,367 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-21 08:48:52,382 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 08:48:52,397 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 08:48:52,412 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 08:48:52,428 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 08:48:52,443 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 08:48:52,458 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 08:48:52,474 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 08:48:52,489 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 08:48:52,504 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 08:48:52,520 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 08:48:52,535 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-21 08:48:52,550 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.692
2023-07-21 08:48:52,565 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-21 08:48:52,579 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-21 08:48:52,594 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-21 08:48:52,609 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-21 08:48:52,624 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 08:48:52,639 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-21 08:48:52,653 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 08:48:52,668 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 08:48:52,682 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-21 08:48:52,696 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-21 08:48:52,711 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 08:48:52,725 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 08:48:52,740 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 08:48:52,756 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-21 08:48:52,771 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-21 08:48:52,786 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 08:48:52,802 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 08:48:52,817 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 08:48:52,832 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 08:48:52,847 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 08:48:52,863 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 08:48:52,878 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 08:48:52,893 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 08:48:52,909 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 08:48:52,924 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-21 08:48:52,939 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-21 08:48:52,954 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-21 08:48:52,969 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-21 08:48:52,985 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-21 08:48:53,000 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-21 08:48:53,015 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 08:48:53,030 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 08:48:53,045 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-21 08:48:53,060 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-21 08:48:53,074 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 08:48:53,089 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 08:48:53,103 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 08:48:53,118 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 08:48:53,133 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 08:48:53,147 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 08:48:53,162 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 08:48:53,176 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-21 08:48:53,192 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 08:48:53,207 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 08:48:53,222 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 08:48:53,237 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-21 08:48:53,253 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 08:48:53,268 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-21 08:48:53,283 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 08:48:53,298 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 08:48:53,314 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 08:48:53,329 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 08:48:53,344 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.935, mIoU: 0.706
2023-07-21 08:48:53,359 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 08:48:53,374 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-21 08:48:53,389 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 08:48:53,404 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 08:48:53,419 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 08:48:53,434 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 08:48:53,449 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 08:48:53,464 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 08:48:53,479 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 08:48:53,493 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 08:48:53,507 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 08:48:53,522 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 08:48:53,536 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-21 08:49:31,473 semantic_segmentation INFO: Iters: 44010/50000 || Lr: 0.002963 || Task Loss: 0.0931 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:29:35 || Estimated Time: 5:55:10
2023-07-21 08:50:09,794 semantic_segmentation INFO: Iters: 44020/50000 || Lr: 0.002958 || Task Loss: 0.1071 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:30:13 || Estimated Time: 5:54:35
2023-07-21 08:50:47,952 semantic_segmentation INFO: Iters: 44030/50000 || Lr: 0.002954 || Task Loss: 0.1000 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:30:51 || Estimated Time: 5:54:00
2023-07-21 08:51:26,532 semantic_segmentation INFO: Iters: 44040/50000 || Lr: 0.002949 || Task Loss: 0.1050 || KD Loss: 0.0334|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:31:30 || Estimated Time: 5:53:24
2023-07-21 08:52:04,681 semantic_segmentation INFO: Iters: 44050/50000 || Lr: 0.002945 || Task Loss: 0.0997 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:32:08 || Estimated Time: 5:52:49
2023-07-21 08:52:43,195 semantic_segmentation INFO: Iters: 44060/50000 || Lr: 0.002941 || Task Loss: 0.0986 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:32:46 || Estimated Time: 5:52:14
2023-07-21 08:53:21,483 semantic_segmentation INFO: Iters: 44070/50000 || Lr: 0.002936 || Task Loss: 0.1076 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:33:25 || Estimated Time: 5:51:39
2023-07-21 08:53:59,989 semantic_segmentation INFO: Iters: 44080/50000 || Lr: 0.002932 || Task Loss: 0.1055 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:34:03 || Estimated Time: 5:51:04
2023-07-21 08:54:38,534 semantic_segmentation INFO: Iters: 44090/50000 || Lr: 0.002927 || Task Loss: 0.0967 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:34:42 || Estimated Time: 5:50:28
2023-07-21 08:55:16,795 semantic_segmentation INFO: Iters: 44100/50000 || Lr: 0.002923 || Task Loss: 0.0892 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:35:20 || Estimated Time: 5:49:53
2023-07-21 08:55:55,754 semantic_segmentation INFO: Iters: 44110/50000 || Lr: 0.002918 || Task Loss: 0.1186 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:35:59 || Estimated Time: 5:49:18
2023-07-21 08:56:34,282 semantic_segmentation INFO: Iters: 44120/50000 || Lr: 0.002914 || Task Loss: 0.0972 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:36:37 || Estimated Time: 5:48:43
2023-07-21 08:57:12,482 semantic_segmentation INFO: Iters: 44130/50000 || Lr: 0.002909 || Task Loss: 0.1107 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:37:16 || Estimated Time: 5:48:08
2023-07-21 08:57:51,099 semantic_segmentation INFO: Iters: 44140/50000 || Lr: 0.002905 || Task Loss: 0.0917 || KD Loss: 0.0224|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:37:54 || Estimated Time: 5:47:32
2023-07-21 08:58:29,084 semantic_segmentation INFO: Iters: 44150/50000 || Lr: 0.002900 || Task Loss: 0.1038 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:38:32 || Estimated Time: 5:46:57
2023-07-21 08:59:07,318 semantic_segmentation INFO: Iters: 44160/50000 || Lr: 0.002896 || Task Loss: 0.0860 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:39:10 || Estimated Time: 5:46:22
2023-07-21 08:59:45,553 semantic_segmentation INFO: Iters: 44170/50000 || Lr: 0.002892 || Task Loss: 0.1135 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:39:49 || Estimated Time: 5:45:47
2023-07-21 09:00:23,853 semantic_segmentation INFO: Iters: 44180/50000 || Lr: 0.002887 || Task Loss: 0.0973 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:40:27 || Estimated Time: 5:45:12
2023-07-21 09:01:02,881 semantic_segmentation INFO: Iters: 44190/50000 || Lr: 0.002883 || Task Loss: 0.1008 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:41:06 || Estimated Time: 5:44:36
2023-07-21 09:01:41,518 semantic_segmentation INFO: Iters: 44200/50000 || Lr: 0.002878 || Task Loss: 0.1123 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:41:45 || Estimated Time: 5:44:01
2023-07-21 09:02:20,206 semantic_segmentation INFO: Iters: 44210/50000 || Lr: 0.002874 || Task Loss: 0.1012 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:42:23 || Estimated Time: 5:43:26
2023-07-21 09:02:58,408 semantic_segmentation INFO: Iters: 44220/50000 || Lr: 0.002869 || Task Loss: 0.1126 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:43:02 || Estimated Time: 5:42:51
2023-07-21 09:03:36,713 semantic_segmentation INFO: Iters: 44230/50000 || Lr: 0.002865 || Task Loss: 0.1069 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:43:40 || Estimated Time: 5:42:16
2023-07-21 09:04:15,396 semantic_segmentation INFO: Iters: 44240/50000 || Lr: 0.002860 || Task Loss: 0.0914 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0853|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:44:18 || Estimated Time: 5:41:40
2023-07-21 09:04:53,703 semantic_segmentation INFO: Iters: 44250/50000 || Lr: 0.002856 || Task Loss: 0.1028 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:44:57 || Estimated Time: 5:41:05
2023-07-21 09:05:32,132 semantic_segmentation INFO: Iters: 44260/50000 || Lr: 0.002851 || Task Loss: 0.1352 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0835|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:45:35 || Estimated Time: 5:40:30
2023-07-21 09:06:10,559 semantic_segmentation INFO: Iters: 44270/50000 || Lr: 0.002847 || Task Loss: 0.1134 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:46:14 || Estimated Time: 5:39:55
2023-07-21 09:06:49,344 semantic_segmentation INFO: Iters: 44280/50000 || Lr: 0.002842 || Task Loss: 0.1029 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:46:52 || Estimated Time: 5:39:19
2023-07-21 09:07:27,482 semantic_segmentation INFO: Iters: 44290/50000 || Lr: 0.002838 || Task Loss: 0.0900 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:47:31 || Estimated Time: 5:38:44
2023-07-21 09:08:05,989 semantic_segmentation INFO: Iters: 44300/50000 || Lr: 0.002833 || Task Loss: 0.0935 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:48:09 || Estimated Time: 5:38:09
2023-07-21 09:08:44,346 semantic_segmentation INFO: Iters: 44310/50000 || Lr: 0.002829 || Task Loss: 0.1137 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:48:47 || Estimated Time: 5:37:34
2023-07-21 09:09:22,848 semantic_segmentation INFO: Iters: 44320/50000 || Lr: 0.002824 || Task Loss: 0.1101 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:49:26 || Estimated Time: 5:36:59
2023-07-21 09:10:01,537 semantic_segmentation INFO: Iters: 44330/50000 || Lr: 0.002820 || Task Loss: 0.1101 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:50:05 || Estimated Time: 5:36:23
2023-07-21 09:10:39,902 semantic_segmentation INFO: Iters: 44340/50000 || Lr: 0.002816 || Task Loss: 0.0945 || KD Loss: 0.0235|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0803|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:50:43 || Estimated Time: 5:35:48
2023-07-21 09:11:18,633 semantic_segmentation INFO: Iters: 44350/50000 || Lr: 0.002811 || Task Loss: 0.1199 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:51:22 || Estimated Time: 5:35:13
2023-07-21 09:11:56,953 semantic_segmentation INFO: Iters: 44360/50000 || Lr: 0.002807 || Task Loss: 0.1081 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:52:00 || Estimated Time: 5:34:38
2023-07-21 09:12:34,711 semantic_segmentation INFO: Iters: 44370/50000 || Lr: 0.002802 || Task Loss: 0.0918 || KD Loss: 0.0240|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:52:38 || Estimated Time: 5:34:02
2023-07-21 09:13:13,679 semantic_segmentation INFO: Iters: 44380/50000 || Lr: 0.002798 || Task Loss: 0.1000 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:53:17 || Estimated Time: 5:33:27
2023-07-21 09:13:50,661 semantic_segmentation INFO: Iters: 44390/50000 || Lr: 0.002793 || Task Loss: 0.1112 || KD Loss: 0.0331|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:53:54 || Estimated Time: 5:32:52
2023-07-21 09:14:29,464 semantic_segmentation INFO: Iters: 44400/50000 || Lr: 0.002789 || Task Loss: 0.1114 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:54:33 || Estimated Time: 5:32:16
2023-07-21 09:15:07,926 semantic_segmentation INFO: Iters: 44410/50000 || Lr: 0.002784 || Task Loss: 0.1184 || KD Loss: 0.0342|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:55:11 || Estimated Time: 5:31:41
2023-07-21 09:15:45,699 semantic_segmentation INFO: Iters: 44420/50000 || Lr: 0.002780 || Task Loss: 0.1059 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:55:49 || Estimated Time: 5:31:06
2023-07-21 09:16:23,895 semantic_segmentation INFO: Iters: 44430/50000 || Lr: 0.002775 || Task Loss: 0.0961 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0857|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:56:27 || Estimated Time: 5:30:31
2023-07-21 09:17:01,208 semantic_segmentation INFO: Iters: 44440/50000 || Lr: 0.002771 || Task Loss: 0.1161 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:57:04 || Estimated Time: 5:29:55
2023-07-21 09:17:39,311 semantic_segmentation INFO: Iters: 44450/50000 || Lr: 0.002766 || Task Loss: 0.1137 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0837|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:57:42 || Estimated Time: 5:29:20
2023-07-21 09:18:16,914 semantic_segmentation INFO: Iters: 44460/50000 || Lr: 0.002762 || Task Loss: 0.1099 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:58:20 || Estimated Time: 5:28:45
2023-07-21 09:18:54,448 semantic_segmentation INFO: Iters: 44470/50000 || Lr: 0.002757 || Task Loss: 0.0982 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:58:58 || Estimated Time: 5:28:09
2023-07-21 09:19:32,125 semantic_segmentation INFO: Iters: 44480/50000 || Lr: 0.002753 || Task Loss: 0.0920 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:59:35 || Estimated Time: 5:27:34
2023-07-21 09:20:09,513 semantic_segmentation INFO: Iters: 44490/50000 || Lr: 0.002748 || Task Loss: 0.1086 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1124|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:00:13 || Estimated Time: 5:26:58
2023-07-21 09:20:47,959 semantic_segmentation INFO: Iters: 44500/50000 || Lr: 0.002744 || Task Loss: 0.0926 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0869|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:00:51 || Estimated Time: 5:26:23
2023-07-21 09:21:25,717 semantic_segmentation INFO: Iters: 44510/50000 || Lr: 0.002739 || Task Loss: 0.1066 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0824|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:01:29 || Estimated Time: 5:25:48
2023-07-21 09:22:03,000 semantic_segmentation INFO: Iters: 44520/50000 || Lr: 0.002735 || Task Loss: 0.1022 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:02:06 || Estimated Time: 5:25:12
2023-07-21 09:22:40,727 semantic_segmentation INFO: Iters: 44530/50000 || Lr: 0.002730 || Task Loss: 0.0940 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:02:44 || Estimated Time: 5:24:37
2023-07-21 09:23:18,854 semantic_segmentation INFO: Iters: 44540/50000 || Lr: 0.002726 || Task Loss: 0.1239 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0762|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:03:22 || Estimated Time: 5:24:02
2023-07-21 09:23:56,293 semantic_segmentation INFO: Iters: 44550/50000 || Lr: 0.002721 || Task Loss: 0.1121 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:03:59 || Estimated Time: 5:23:26
2023-07-21 09:24:33,550 semantic_segmentation INFO: Iters: 44560/50000 || Lr: 0.002717 || Task Loss: 0.1095 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:04:37 || Estimated Time: 5:22:51
2023-07-21 09:25:11,659 semantic_segmentation INFO: Iters: 44570/50000 || Lr: 0.002712 || Task Loss: 0.1125 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0785|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:05:15 || Estimated Time: 5:22:16
2023-07-21 09:25:49,067 semantic_segmentation INFO: Iters: 44580/50000 || Lr: 0.002708 || Task Loss: 0.1046 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:05:52 || Estimated Time: 5:21:40
2023-07-21 09:26:26,485 semantic_segmentation INFO: Iters: 44590/50000 || Lr: 0.002703 || Task Loss: 0.1032 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:06:30 || Estimated Time: 5:21:05
2023-07-21 09:27:04,188 semantic_segmentation INFO: Iters: 44600/50000 || Lr: 0.002699 || Task Loss: 0.0977 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0926|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:07:07 || Estimated Time: 5:20:30
2023-07-21 09:27:41,839 semantic_segmentation INFO: Iters: 44610/50000 || Lr: 0.002694 || Task Loss: 0.1046 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:07:45 || Estimated Time: 5:19:54
2023-07-21 09:28:19,127 semantic_segmentation INFO: Iters: 44620/50000 || Lr: 0.002690 || Task Loss: 0.1143 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:08:22 || Estimated Time: 5:19:19
2023-07-21 09:28:56,364 semantic_segmentation INFO: Iters: 44630/50000 || Lr: 0.002685 || Task Loss: 0.1037 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:08:59 || Estimated Time: 5:18:43
2023-07-21 09:29:34,124 semantic_segmentation INFO: Iters: 44640/50000 || Lr: 0.002681 || Task Loss: 0.1106 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0820|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:09:37 || Estimated Time: 5:18:08
2023-07-21 09:30:11,272 semantic_segmentation INFO: Iters: 44650/50000 || Lr: 0.002676 || Task Loss: 0.1011 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:10:14 || Estimated Time: 5:17:33
2023-07-21 09:30:49,220 semantic_segmentation INFO: Iters: 44660/50000 || Lr: 0.002672 || Task Loss: 0.1174 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0833|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:10:52 || Estimated Time: 5:16:57
2023-07-21 09:31:26,233 semantic_segmentation INFO: Iters: 44670/50000 || Lr: 0.002667 || Task Loss: 0.1063 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0817|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:11:29 || Estimated Time: 5:16:22
2023-07-21 09:32:03,448 semantic_segmentation INFO: Iters: 44680/50000 || Lr: 0.002663 || Task Loss: 0.1101 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:12:07 || Estimated Time: 5:15:46
2023-07-21 09:32:40,654 semantic_segmentation INFO: Iters: 44690/50000 || Lr: 0.002658 || Task Loss: 0.1017 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1089|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:12:44 || Estimated Time: 5:15:11
2023-07-21 09:33:18,212 semantic_segmentation INFO: Iters: 44700/50000 || Lr: 0.002654 || Task Loss: 0.1012 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:13:21 || Estimated Time: 5:14:36
2023-07-21 09:33:55,525 semantic_segmentation INFO: Iters: 44710/50000 || Lr: 0.002649 || Task Loss: 0.1052 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:13:59 || Estimated Time: 5:14:00
2023-07-21 09:34:32,621 semantic_segmentation INFO: Iters: 44720/50000 || Lr: 0.002645 || Task Loss: 0.1014 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:14:36 || Estimated Time: 5:13:25
2023-07-21 09:35:09,915 semantic_segmentation INFO: Iters: 44730/50000 || Lr: 0.002640 || Task Loss: 0.1143 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:15:13 || Estimated Time: 5:12:49
2023-07-21 09:35:46,912 semantic_segmentation INFO: Iters: 44740/50000 || Lr: 0.002636 || Task Loss: 0.1034 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:15:50 || Estimated Time: 5:12:14
2023-07-21 09:36:24,083 semantic_segmentation INFO: Iters: 44750/50000 || Lr: 0.002631 || Task Loss: 0.1271 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:16:27 || Estimated Time: 5:11:38
2023-07-21 09:37:00,952 semantic_segmentation INFO: Iters: 44760/50000 || Lr: 0.002627 || Task Loss: 0.0975 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:17:04 || Estimated Time: 5:11:03
2023-07-21 09:37:37,861 semantic_segmentation INFO: Iters: 44770/50000 || Lr: 0.002622 || Task Loss: 0.1117 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:17:41 || Estimated Time: 5:10:28
2023-07-21 09:38:15,306 semantic_segmentation INFO: Iters: 44780/50000 || Lr: 0.002618 || Task Loss: 0.0991 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:18:18 || Estimated Time: 5:09:52
2023-07-21 09:38:51,981 semantic_segmentation INFO: Iters: 44790/50000 || Lr: 0.002613 || Task Loss: 0.1261 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0775|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:18:55 || Estimated Time: 5:09:17
2023-07-21 09:39:28,115 semantic_segmentation INFO: Iters: 44800/50000 || Lr: 0.002609 || Task Loss: 0.1179 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:19:31 || Estimated Time: 5:08:41
2023-07-21 09:39:28,181 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 09:39:28,542 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.707
2023-07-21 09:39:28,565 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.712
2023-07-21 09:39:28,578 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.708
2023-07-21 09:39:28,592 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 09:39:28,605 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 09:39:28,618 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 09:39:28,632 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 09:39:28,645 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 09:39:28,659 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 09:39:28,673 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 09:39:28,687 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 09:39:28,701 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-21 09:39:28,715 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 09:39:28,728 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 09:39:28,742 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 09:39:28,757 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-21 09:39:28,771 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.696
2023-07-21 09:39:28,785 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-21 09:39:28,799 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.692
2023-07-21 09:39:28,813 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-21 09:39:28,827 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.689
2023-07-21 09:39:28,842 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-21 09:39:28,857 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.686
2023-07-21 09:39:28,872 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-21 09:39:28,887 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-21 09:39:28,902 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-21 09:39:28,917 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-21 09:39:28,931 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-21 09:39:28,947 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-21 09:39:28,962 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-21 09:39:28,977 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 09:39:28,992 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 09:39:29,007 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 09:39:29,022 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 09:39:29,037 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 09:39:29,052 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-21 09:39:29,066 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-21 09:39:29,081 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.690
2023-07-21 09:39:29,096 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-21 09:39:29,111 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-21 09:39:29,125 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-21 09:39:29,140 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 09:39:29,154 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.695
2023-07-21 09:39:29,169 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.697
2023-07-21 09:39:29,183 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 09:39:29,197 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 09:39:29,212 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 09:39:29,226 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 09:39:29,240 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 09:39:29,256 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-21 09:39:29,271 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.703
2023-07-21 09:39:29,286 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-21 09:39:29,301 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.703
2023-07-21 09:39:29,316 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 09:39:29,331 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 09:39:29,346 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 09:39:29,360 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-21 09:39:29,375 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-21 09:39:29,390 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 09:39:29,404 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 09:39:29,419 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 09:39:29,433 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-21 09:39:29,448 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-21 09:39:29,462 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-21 09:39:29,477 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-21 09:39:29,491 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-21 09:39:29,506 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 09:39:29,520 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.714
2023-07-21 09:39:29,535 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-21 09:39:29,549 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-21 09:39:29,564 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-21 09:39:29,579 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-21 09:39:29,593 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-21 09:39:29,608 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-21 09:39:29,622 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.941, mIoU: 0.714
2023-07-21 09:39:29,637 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 09:39:29,651 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.940, mIoU: 0.713
2023-07-21 09:39:29,666 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 09:39:29,680 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 09:39:29,695 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 09:39:29,709 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 09:39:29,724 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.938, mIoU: 0.710
2023-07-21 09:39:29,738 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-21 09:39:29,753 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.937, mIoU: 0.707
2023-07-21 09:39:29,767 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 09:39:29,782 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 09:39:29,797 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 09:39:29,813 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 09:39:29,829 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 09:39:29,845 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 09:39:29,861 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 09:39:29,875 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 09:39:29,890 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 09:39:29,905 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 09:39:29,920 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 09:39:29,934 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 09:39:29,949 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 09:39:29,964 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 09:39:29,979 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 09:39:29,993 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 09:39:30,008 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.938, mIoU: 0.699
2023-07-21 09:40:05,863 semantic_segmentation INFO: Iters: 44810/50000 || Lr: 0.002604 || Task Loss: 0.1042 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0850|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:20:09 || Estimated Time: 5:08:06
2023-07-21 09:40:41,871 semantic_segmentation INFO: Iters: 44820/50000 || Lr: 0.002600 || Task Loss: 0.0902 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:20:45 || Estimated Time: 5:07:30
2023-07-21 09:41:17,456 semantic_segmentation INFO: Iters: 44830/50000 || Lr: 0.002595 || Task Loss: 0.0931 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1054|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:21:21 || Estimated Time: 5:06:55
2023-07-21 09:41:53,566 semantic_segmentation INFO: Iters: 44840/50000 || Lr: 0.002591 || Task Loss: 0.1166 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:21:57 || Estimated Time: 5:06:19
2023-07-21 09:42:29,371 semantic_segmentation INFO: Iters: 44850/50000 || Lr: 0.002586 || Task Loss: 0.1055 || KD Loss: 0.0259|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:22:32 || Estimated Time: 5:05:43
2023-07-21 09:43:04,934 semantic_segmentation INFO: Iters: 44860/50000 || Lr: 0.002582 || Task Loss: 0.0965 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1035|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:23:08 || Estimated Time: 5:05:08
2023-07-21 09:43:39,764 semantic_segmentation INFO: Iters: 44870/50000 || Lr: 0.002577 || Task Loss: 0.0966 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:23:43 || Estimated Time: 5:04:32
2023-07-21 09:44:15,225 semantic_segmentation INFO: Iters: 44880/50000 || Lr: 0.002573 || Task Loss: 0.1305 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0881|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:24:18 || Estimated Time: 5:03:56
2023-07-21 09:44:50,948 semantic_segmentation INFO: Iters: 44890/50000 || Lr: 0.002568 || Task Loss: 0.1164 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0850|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:24:54 || Estimated Time: 5:03:21
2023-07-21 09:45:26,568 semantic_segmentation INFO: Iters: 44900/50000 || Lr: 0.002564 || Task Loss: 0.0968 || KD Loss: 0.0333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1124|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:25:30 || Estimated Time: 5:02:45
2023-07-21 09:46:02,017 semantic_segmentation INFO: Iters: 44910/50000 || Lr: 0.002559 || Task Loss: 0.1065 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:26:05 || Estimated Time: 5:02:10
2023-07-21 09:46:37,073 semantic_segmentation INFO: Iters: 44920/50000 || Lr: 0.002555 || Task Loss: 0.1299 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0780|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:26:40 || Estimated Time: 5:01:34
2023-07-21 09:47:12,542 semantic_segmentation INFO: Iters: 44930/50000 || Lr: 0.002550 || Task Loss: 0.1065 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:27:16 || Estimated Time: 5:00:58
2023-07-21 09:47:48,246 semantic_segmentation INFO: Iters: 44940/50000 || Lr: 0.002545 || Task Loss: 0.1182 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0813|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:27:51 || Estimated Time: 5:00:23
2023-07-21 09:48:23,726 semantic_segmentation INFO: Iters: 44950/50000 || Lr: 0.002541 || Task Loss: 0.1103 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:28:27 || Estimated Time: 4:59:47
2023-07-21 09:48:59,203 semantic_segmentation INFO: Iters: 44960/50000 || Lr: 0.002536 || Task Loss: 0.1018 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:29:02 || Estimated Time: 4:59:11
2023-07-21 09:49:34,050 semantic_segmentation INFO: Iters: 44970/50000 || Lr: 0.002532 || Task Loss: 0.1040 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0830|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:29:37 || Estimated Time: 4:58:36
2023-07-21 09:50:09,267 semantic_segmentation INFO: Iters: 44980/50000 || Lr: 0.002527 || Task Loss: 0.1043 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:30:12 || Estimated Time: 4:58:00
2023-07-21 09:50:44,512 semantic_segmentation INFO: Iters: 44990/50000 || Lr: 0.002523 || Task Loss: 0.0831 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:30:48 || Estimated Time: 4:57:24
2023-07-21 09:51:19,395 semantic_segmentation INFO: Iters: 45000/50000 || Lr: 0.002518 || Task Loss: 0.1319 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0797|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:31:22 || Estimated Time: 4:56:49
2023-07-21 09:51:54,550 semantic_segmentation INFO: Iters: 45010/50000 || Lr: 0.002514 || Task Loss: 0.0952 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:31:58 || Estimated Time: 4:56:13
2023-07-21 09:52:29,446 semantic_segmentation INFO: Iters: 45020/50000 || Lr: 0.002509 || Task Loss: 0.1035 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0968|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:32:33 || Estimated Time: 4:55:37
2023-07-21 09:53:04,526 semantic_segmentation INFO: Iters: 45030/50000 || Lr: 0.002505 || Task Loss: 0.0919 || KD Loss: 0.0323|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1041|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:33:08 || Estimated Time: 4:55:02
2023-07-21 09:53:39,168 semantic_segmentation INFO: Iters: 45040/50000 || Lr: 0.002500 || Task Loss: 0.0921 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0960|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:33:42 || Estimated Time: 4:54:26
2023-07-21 09:54:14,164 semantic_segmentation INFO: Iters: 45050/50000 || Lr: 0.002496 || Task Loss: 0.1035 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0983|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:34:17 || Estimated Time: 4:53:50
2023-07-21 09:54:48,641 semantic_segmentation INFO: Iters: 45060/50000 || Lr: 0.002491 || Task Loss: 0.0973 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:34:52 || Estimated Time: 4:53:14
2023-07-21 09:55:23,292 semantic_segmentation INFO: Iters: 45070/50000 || Lr: 0.002487 || Task Loss: 0.1094 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:35:26 || Estimated Time: 4:52:39
2023-07-21 09:55:57,867 semantic_segmentation INFO: Iters: 45080/50000 || Lr: 0.002482 || Task Loss: 0.0982 || KD Loss: 0.0367|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:36:01 || Estimated Time: 4:52:03
2023-07-21 09:56:32,998 semantic_segmentation INFO: Iters: 45090/50000 || Lr: 0.002477 || Task Loss: 0.1053 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:36:36 || Estimated Time: 4:51:27
2023-07-21 09:57:07,657 semantic_segmentation INFO: Iters: 45100/50000 || Lr: 0.002473 || Task Loss: 0.0959 || KD Loss: 0.0249|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:37:11 || Estimated Time: 4:50:52
2023-07-21 09:57:42,269 semantic_segmentation INFO: Iters: 45110/50000 || Lr: 0.002468 || Task Loss: 0.1025 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1111|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:37:45 || Estimated Time: 4:50:16
2023-07-21 09:58:16,902 semantic_segmentation INFO: Iters: 45120/50000 || Lr: 0.002464 || Task Loss: 0.1130 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:38:20 || Estimated Time: 4:49:40
2023-07-21 09:58:52,135 semantic_segmentation INFO: Iters: 45130/50000 || Lr: 0.002459 || Task Loss: 0.1220 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:38:55 || Estimated Time: 4:49:04
2023-07-21 09:59:27,669 semantic_segmentation INFO: Iters: 45140/50000 || Lr: 0.002455 || Task Loss: 0.1160 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1021|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:39:31 || Estimated Time: 4:48:29
2023-07-21 10:00:02,798 semantic_segmentation INFO: Iters: 45150/50000 || Lr: 0.002450 || Task Loss: 0.0948 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:40:06 || Estimated Time: 4:47:53
2023-07-21 10:00:38,614 semantic_segmentation INFO: Iters: 45160/50000 || Lr: 0.002446 || Task Loss: 0.1047 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:40:42 || Estimated Time: 4:47:18
2023-07-21 10:01:14,558 semantic_segmentation INFO: Iters: 45170/50000 || Lr: 0.002441 || Task Loss: 0.0962 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:41:18 || Estimated Time: 4:46:42
2023-07-21 10:01:50,081 semantic_segmentation INFO: Iters: 45180/50000 || Lr: 0.002437 || Task Loss: 0.1085 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1064|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:41:53 || Estimated Time: 4:46:06
2023-07-21 10:02:25,737 semantic_segmentation INFO: Iters: 45190/50000 || Lr: 0.002432 || Task Loss: 0.1020 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:42:29 || Estimated Time: 4:45:31
2023-07-21 10:03:01,089 semantic_segmentation INFO: Iters: 45200/50000 || Lr: 0.002427 || Task Loss: 0.0916 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1121|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:43:04 || Estimated Time: 4:44:55
2023-07-21 10:03:36,767 semantic_segmentation INFO: Iters: 45210/50000 || Lr: 0.002423 || Task Loss: 0.1172 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0837|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:43:40 || Estimated Time: 4:44:19
2023-07-21 10:04:12,318 semantic_segmentation INFO: Iters: 45220/50000 || Lr: 0.002418 || Task Loss: 0.1025 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0802|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:44:15 || Estimated Time: 4:43:44
2023-07-21 10:04:48,174 semantic_segmentation INFO: Iters: 45230/50000 || Lr: 0.002414 || Task Loss: 0.1083 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0940|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:44:51 || Estimated Time: 4:43:08
2023-07-21 10:05:23,444 semantic_segmentation INFO: Iters: 45240/50000 || Lr: 0.002409 || Task Loss: 0.1062 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:45:27 || Estimated Time: 4:42:33
2023-07-21 10:05:59,370 semantic_segmentation INFO: Iters: 45250/50000 || Lr: 0.002405 || Task Loss: 0.1097 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:46:02 || Estimated Time: 4:41:57
2023-07-21 10:06:35,064 semantic_segmentation INFO: Iters: 45260/50000 || Lr: 0.002400 || Task Loss: 0.1141 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:46:38 || Estimated Time: 4:41:21
2023-07-21 10:07:10,637 semantic_segmentation INFO: Iters: 45270/50000 || Lr: 0.002396 || Task Loss: 0.0999 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:47:14 || Estimated Time: 4:40:46
2023-07-21 10:07:46,056 semantic_segmentation INFO: Iters: 45280/50000 || Lr: 0.002391 || Task Loss: 0.1023 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1138|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:47:49 || Estimated Time: 4:40:10
2023-07-21 10:08:21,445 semantic_segmentation INFO: Iters: 45290/50000 || Lr: 0.002386 || Task Loss: 0.0907 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:48:25 || Estimated Time: 4:39:35
2023-07-21 10:08:57,270 semantic_segmentation INFO: Iters: 45300/50000 || Lr: 0.002382 || Task Loss: 0.1001 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:49:00 || Estimated Time: 4:38:59
2023-07-21 10:09:32,079 semantic_segmentation INFO: Iters: 45310/50000 || Lr: 0.002377 || Task Loss: 0.0934 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:49:35 || Estimated Time: 4:38:23
2023-07-21 10:10:07,641 semantic_segmentation INFO: Iters: 45320/50000 || Lr: 0.002373 || Task Loss: 0.1004 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1090|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:50:11 || Estimated Time: 4:37:48
2023-07-21 10:10:43,450 semantic_segmentation INFO: Iters: 45330/50000 || Lr: 0.002368 || Task Loss: 0.1401 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:50:47 || Estimated Time: 4:37:12
2023-07-21 10:11:19,243 semantic_segmentation INFO: Iters: 45340/50000 || Lr: 0.002364 || Task Loss: 0.0989 || KD Loss: 0.0229|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:51:22 || Estimated Time: 4:36:36
2023-07-21 10:11:54,245 semantic_segmentation INFO: Iters: 45350/50000 || Lr: 0.002359 || Task Loss: 0.0962 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:51:57 || Estimated Time: 4:36:01
2023-07-21 10:12:30,185 semantic_segmentation INFO: Iters: 45360/50000 || Lr: 0.002355 || Task Loss: 0.1049 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0848|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:52:33 || Estimated Time: 4:35:25
2023-07-21 10:13:05,591 semantic_segmentation INFO: Iters: 45370/50000 || Lr: 0.002350 || Task Loss: 0.0876 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:53:09 || Estimated Time: 4:34:50
2023-07-21 10:13:40,725 semantic_segmentation INFO: Iters: 45380/50000 || Lr: 0.002345 || Task Loss: 0.1134 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0809|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:53:44 || Estimated Time: 4:34:14
2023-07-21 10:14:16,467 semantic_segmentation INFO: Iters: 45390/50000 || Lr: 0.002341 || Task Loss: 0.1145 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:54:20 || Estimated Time: 4:33:38
2023-07-21 10:14:52,496 semantic_segmentation INFO: Iters: 45400/50000 || Lr: 0.002336 || Task Loss: 0.0921 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:54:56 || Estimated Time: 4:33:03
2023-07-21 10:15:28,091 semantic_segmentation INFO: Iters: 45410/50000 || Lr: 0.002332 || Task Loss: 0.1110 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:55:31 || Estimated Time: 4:32:27
2023-07-21 10:16:03,798 semantic_segmentation INFO: Iters: 45420/50000 || Lr: 0.002327 || Task Loss: 0.1015 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1113|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:56:07 || Estimated Time: 4:31:51
2023-07-21 10:16:39,118 semantic_segmentation INFO: Iters: 45430/50000 || Lr: 0.002323 || Task Loss: 0.1004 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:56:42 || Estimated Time: 4:31:16
2023-07-21 10:17:14,272 semantic_segmentation INFO: Iters: 45440/50000 || Lr: 0.002318 || Task Loss: 0.1136 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:57:17 || Estimated Time: 4:30:40
2023-07-21 10:17:49,588 semantic_segmentation INFO: Iters: 45450/50000 || Lr: 0.002313 || Task Loss: 0.1067 || KD Loss: 0.0234|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:57:53 || Estimated Time: 4:30:05
2023-07-21 10:18:24,982 semantic_segmentation INFO: Iters: 45460/50000 || Lr: 0.002309 || Task Loss: 0.1339 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:58:28 || Estimated Time: 4:29:29
2023-07-21 10:18:59,989 semantic_segmentation INFO: Iters: 45470/50000 || Lr: 0.002304 || Task Loss: 0.1083 || KD Loss: 0.0313|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:59:03 || Estimated Time: 4:28:53
2023-07-21 10:19:35,318 semantic_segmentation INFO: Iters: 45480/50000 || Lr: 0.002300 || Task Loss: 0.1212 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0856|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 20:59:38 || Estimated Time: 4:28:18
2023-07-21 10:20:10,284 semantic_segmentation INFO: Iters: 45490/50000 || Lr: 0.002295 || Task Loss: 0.1086 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0885|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:00:13 || Estimated Time: 4:27:42
2023-07-21 10:20:45,302 semantic_segmentation INFO: Iters: 45500/50000 || Lr: 0.002291 || Task Loss: 0.0922 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:00:48 || Estimated Time: 4:27:06
2023-07-21 10:21:20,419 semantic_segmentation INFO: Iters: 45510/50000 || Lr: 0.002286 || Task Loss: 0.1003 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0862|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:01:24 || Estimated Time: 4:26:31
2023-07-21 10:21:55,342 semantic_segmentation INFO: Iters: 45520/50000 || Lr: 0.002281 || Task Loss: 0.1131 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1017|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:01:58 || Estimated Time: 4:25:55
2023-07-21 10:22:29,959 semantic_segmentation INFO: Iters: 45530/50000 || Lr: 0.002277 || Task Loss: 0.1131 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:02:33 || Estimated Time: 4:25:19
2023-07-21 10:23:04,611 semantic_segmentation INFO: Iters: 45540/50000 || Lr: 0.002272 || Task Loss: 0.1019 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:03:08 || Estimated Time: 4:24:43
2023-07-21 10:23:39,411 semantic_segmentation INFO: Iters: 45550/50000 || Lr: 0.002268 || Task Loss: 0.1040 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:03:43 || Estimated Time: 4:24:08
2023-07-21 10:24:14,620 semantic_segmentation INFO: Iters: 45560/50000 || Lr: 0.002263 || Task Loss: 0.1042 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0891|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:04:18 || Estimated Time: 4:23:32
2023-07-21 10:24:49,698 semantic_segmentation INFO: Iters: 45570/50000 || Lr: 0.002258 || Task Loss: 0.1133 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0903|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:04:53 || Estimated Time: 4:22:56
2023-07-21 10:25:24,465 semantic_segmentation INFO: Iters: 45580/50000 || Lr: 0.002254 || Task Loss: 0.1021 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:05:28 || Estimated Time: 4:22:21
2023-07-21 10:25:59,490 semantic_segmentation INFO: Iters: 45590/50000 || Lr: 0.002249 || Task Loss: 0.0956 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:06:03 || Estimated Time: 4:21:45
2023-07-21 10:26:34,304 semantic_segmentation INFO: Iters: 45600/50000 || Lr: 0.002245 || Task Loss: 0.0916 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:06:37 || Estimated Time: 4:21:09
2023-07-21 10:26:34,369 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 10:26:34,737 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.709
2023-07-21 10:26:34,764 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.714
2023-07-21 10:26:34,777 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.710
2023-07-21 10:26:34,790 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 10:26:34,804 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 10:26:34,817 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 10:26:34,830 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 10:26:34,843 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 10:26:34,856 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 10:26:34,869 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 10:26:34,883 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.705
2023-07-21 10:26:34,896 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.704
2023-07-21 10:26:34,909 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.705
2023-07-21 10:26:34,922 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-21 10:26:34,936 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.706
2023-07-21 10:26:34,950 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-21 10:26:34,964 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 10:26:34,978 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.701
2023-07-21 10:26:34,991 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.699
2023-07-21 10:26:35,005 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.697
2023-07-21 10:26:35,019 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.696
2023-07-21 10:26:35,032 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.694
2023-07-21 10:26:35,046 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-21 10:26:35,059 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 10:26:35,073 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 10:26:35,087 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 10:26:35,100 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 10:26:35,114 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 10:26:35,127 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 10:26:35,141 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 10:26:35,155 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-21 10:26:35,170 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-21 10:26:35,184 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.694
2023-07-21 10:26:35,198 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.955, mIoU: 0.694
2023-07-21 10:26:35,212 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.955, mIoU: 0.696
2023-07-21 10:26:35,226 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.695
2023-07-21 10:26:35,240 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.695
2023-07-21 10:26:35,254 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.696
2023-07-21 10:26:35,268 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 10:26:35,282 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 10:26:35,296 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 10:26:35,311 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-21 10:26:35,324 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.702
2023-07-21 10:26:35,340 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.703
2023-07-21 10:26:35,355 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 10:26:35,370 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 10:26:35,385 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.707
2023-07-21 10:26:35,400 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.708
2023-07-21 10:26:35,415 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.709
2023-07-21 10:26:35,430 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.708
2023-07-21 10:26:35,445 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.708
2023-07-21 10:26:35,459 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.708
2023-07-21 10:26:35,474 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.708
2023-07-21 10:26:35,488 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-21 10:26:35,503 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-21 10:26:35,517 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.708
2023-07-21 10:26:35,532 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.709
2023-07-21 10:26:35,546 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.709
2023-07-21 10:26:35,560 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.710
2023-07-21 10:26:35,574 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-21 10:26:35,588 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.711
2023-07-21 10:26:35,603 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-21 10:26:35,617 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.712
2023-07-21 10:26:35,631 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.713
2023-07-21 10:26:35,645 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.713
2023-07-21 10:26:35,659 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 10:26:35,673 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.714
2023-07-21 10:26:35,687 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-21 10:26:35,701 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-21 10:26:35,715 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.717
2023-07-21 10:26:35,729 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 10:26:35,744 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 10:26:35,759 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 10:26:35,774 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 10:26:35,789 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 10:26:35,804 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 10:26:35,820 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-21 10:26:35,835 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 10:26:35,850 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 10:26:35,865 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 10:26:35,880 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-21 10:26:35,895 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 10:26:35,910 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 10:26:35,925 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 10:26:35,939 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 10:26:35,953 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 10:26:35,967 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 10:26:35,981 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 10:26:35,994 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.705
2023-07-21 10:26:36,008 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 10:26:36,022 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 10:26:36,036 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 10:26:36,049 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 10:26:36,062 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 10:26:36,076 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 10:26:36,089 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 10:26:36,103 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 10:26:36,116 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 10:26:36,130 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 10:26:36,145 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 10:26:36,159 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 10:27:11,392 semantic_segmentation INFO: Iters: 45610/50000 || Lr: 0.002240 || Task Loss: 0.1041 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:07:14 || Estimated Time: 4:20:34
2023-07-21 10:27:46,429 semantic_segmentation INFO: Iters: 45620/50000 || Lr: 0.002235 || Task Loss: 0.1121 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:07:50 || Estimated Time: 4:19:58
2023-07-21 10:28:21,233 semantic_segmentation INFO: Iters: 45630/50000 || Lr: 0.002231 || Task Loss: 0.0987 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:08:24 || Estimated Time: 4:19:23
2023-07-21 10:28:56,309 semantic_segmentation INFO: Iters: 45640/50000 || Lr: 0.002226 || Task Loss: 0.1083 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0808|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:08:59 || Estimated Time: 4:18:47
2023-07-21 10:29:31,537 semantic_segmentation INFO: Iters: 45650/50000 || Lr: 0.002222 || Task Loss: 0.1233 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:09:35 || Estimated Time: 4:18:11
2023-07-21 10:30:06,532 semantic_segmentation INFO: Iters: 45660/50000 || Lr: 0.002217 || Task Loss: 0.1213 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:10:10 || Estimated Time: 4:17:36
2023-07-21 10:30:41,896 semantic_segmentation INFO: Iters: 45670/50000 || Lr: 0.002213 || Task Loss: 0.0910 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0906|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:10:45 || Estimated Time: 4:17:00
2023-07-21 10:31:16,741 semantic_segmentation INFO: Iters: 45680/50000 || Lr: 0.002208 || Task Loss: 0.1045 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:11:20 || Estimated Time: 4:16:24
2023-07-21 10:31:52,037 semantic_segmentation INFO: Iters: 45690/50000 || Lr: 0.002203 || Task Loss: 0.0996 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:11:55 || Estimated Time: 4:15:49
2023-07-21 10:32:27,008 semantic_segmentation INFO: Iters: 45700/50000 || Lr: 0.002199 || Task Loss: 0.1057 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1141|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:12:30 || Estimated Time: 4:15:13
2023-07-21 10:33:02,330 semantic_segmentation INFO: Iters: 45710/50000 || Lr: 0.002194 || Task Loss: 0.0919 || KD Loss: 0.0233|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:13:05 || Estimated Time: 4:14:37
2023-07-21 10:33:37,363 semantic_segmentation INFO: Iters: 45720/50000 || Lr: 0.002190 || Task Loss: 0.0936 || KD Loss: 0.0303|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1156|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:13:40 || Estimated Time: 4:14:02
2023-07-21 10:34:12,015 semantic_segmentation INFO: Iters: 45730/50000 || Lr: 0.002185 || Task Loss: 0.0983 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:14:15 || Estimated Time: 4:13:26
2023-07-21 10:34:47,007 semantic_segmentation INFO: Iters: 45740/50000 || Lr: 0.002180 || Task Loss: 0.0932 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1030|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:14:50 || Estimated Time: 4:12:50
2023-07-21 10:35:22,372 semantic_segmentation INFO: Iters: 45750/50000 || Lr: 0.002176 || Task Loss: 0.1035 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:15:25 || Estimated Time: 4:12:15
2023-07-21 10:35:57,131 semantic_segmentation INFO: Iters: 45760/50000 || Lr: 0.002171 || Task Loss: 0.1140 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0811|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:16:00 || Estimated Time: 4:11:39
2023-07-21 10:36:31,695 semantic_segmentation INFO: Iters: 45770/50000 || Lr: 0.002166 || Task Loss: 0.1135 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:16:35 || Estimated Time: 4:11:03
2023-07-21 10:37:06,523 semantic_segmentation INFO: Iters: 45780/50000 || Lr: 0.002162 || Task Loss: 0.1034 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:17:10 || Estimated Time: 4:10:28
2023-07-21 10:37:41,167 semantic_segmentation INFO: Iters: 45790/50000 || Lr: 0.002157 || Task Loss: 0.0952 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:17:44 || Estimated Time: 4:09:52
2023-07-21 10:38:16,160 semantic_segmentation INFO: Iters: 45800/50000 || Lr: 0.002153 || Task Loss: 0.1040 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0931|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:18:19 || Estimated Time: 4:09:16
2023-07-21 10:38:50,742 semantic_segmentation INFO: Iters: 45810/50000 || Lr: 0.002148 || Task Loss: 0.0971 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:18:54 || Estimated Time: 4:08:40
2023-07-21 10:39:25,379 semantic_segmentation INFO: Iters: 45820/50000 || Lr: 0.002143 || Task Loss: 0.1000 || KD Loss: 0.0353|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1148|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:19:28 || Estimated Time: 4:08:05
2023-07-21 10:40:00,293 semantic_segmentation INFO: Iters: 45830/50000 || Lr: 0.002139 || Task Loss: 0.1158 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0789|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:20:03 || Estimated Time: 4:07:29
2023-07-21 10:40:35,350 semantic_segmentation INFO: Iters: 45840/50000 || Lr: 0.002134 || Task Loss: 0.0999 || KD Loss: 0.0242|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0870|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:20:38 || Estimated Time: 4:06:53
2023-07-21 10:41:09,839 semantic_segmentation INFO: Iters: 45850/50000 || Lr: 0.002130 || Task Loss: 0.0915 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:21:13 || Estimated Time: 4:06:18
2023-07-21 10:41:44,485 semantic_segmentation INFO: Iters: 45860/50000 || Lr: 0.002125 || Task Loss: 0.1099 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:21:48 || Estimated Time: 4:05:42
2023-07-21 10:42:19,058 semantic_segmentation INFO: Iters: 45870/50000 || Lr: 0.002120 || Task Loss: 0.0902 || KD Loss: 0.0219|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:22:22 || Estimated Time: 4:05:06
2023-07-21 10:42:53,842 semantic_segmentation INFO: Iters: 45880/50000 || Lr: 0.002116 || Task Loss: 0.1126 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0808|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:22:57 || Estimated Time: 4:04:31
2023-07-21 10:43:28,516 semantic_segmentation INFO: Iters: 45890/50000 || Lr: 0.002111 || Task Loss: 0.1061 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:23:32 || Estimated Time: 4:03:55
2023-07-21 10:44:03,506 semantic_segmentation INFO: Iters: 45900/50000 || Lr: 0.002106 || Task Loss: 0.1015 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:24:07 || Estimated Time: 4:03:19
2023-07-21 10:44:38,311 semantic_segmentation INFO: Iters: 45910/50000 || Lr: 0.002102 || Task Loss: 0.1118 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:24:41 || Estimated Time: 4:02:44
2023-07-21 10:45:12,957 semantic_segmentation INFO: Iters: 45920/50000 || Lr: 0.002097 || Task Loss: 0.0954 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:25:16 || Estimated Time: 4:02:08
2023-07-21 10:45:47,896 semantic_segmentation INFO: Iters: 45930/50000 || Lr: 0.002093 || Task Loss: 0.0997 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:25:51 || Estimated Time: 4:01:32
2023-07-21 10:46:22,790 semantic_segmentation INFO: Iters: 45940/50000 || Lr: 0.002088 || Task Loss: 0.1090 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:26:26 || Estimated Time: 4:00:57
2023-07-21 10:46:57,799 semantic_segmentation INFO: Iters: 45950/50000 || Lr: 0.002083 || Task Loss: 0.1042 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0865|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:27:01 || Estimated Time: 4:00:21
2023-07-21 10:47:32,607 semantic_segmentation INFO: Iters: 45960/50000 || Lr: 0.002079 || Task Loss: 0.0885 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:27:36 || Estimated Time: 3:59:45
2023-07-21 10:48:07,243 semantic_segmentation INFO: Iters: 45970/50000 || Lr: 0.002074 || Task Loss: 0.1197 || KD Loss: 0.0319|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:28:10 || Estimated Time: 3:59:09
2023-07-21 10:48:42,053 semantic_segmentation INFO: Iters: 45980/50000 || Lr: 0.002069 || Task Loss: 0.1294 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0818|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:28:45 || Estimated Time: 3:58:34
2023-07-21 10:49:16,845 semantic_segmentation INFO: Iters: 45990/50000 || Lr: 0.002065 || Task Loss: 0.1094 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0851|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:29:20 || Estimated Time: 3:57:58
2023-07-21 10:49:51,650 semantic_segmentation INFO: Iters: 46000/50000 || Lr: 0.002060 || Task Loss: 0.0994 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1028|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:29:55 || Estimated Time: 3:57:22
2023-07-21 10:50:26,276 semantic_segmentation INFO: Iters: 46010/50000 || Lr: 0.002056 || Task Loss: 0.0971 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1042|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:30:29 || Estimated Time: 3:56:47
2023-07-21 10:51:00,939 semantic_segmentation INFO: Iters: 46020/50000 || Lr: 0.002051 || Task Loss: 0.0930 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:31:04 || Estimated Time: 3:56:11
2023-07-21 10:51:35,483 semantic_segmentation INFO: Iters: 46030/50000 || Lr: 0.002046 || Task Loss: 0.0982 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:31:39 || Estimated Time: 3:55:35
2023-07-21 10:52:10,038 semantic_segmentation INFO: Iters: 46040/50000 || Lr: 0.002042 || Task Loss: 0.0969 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0863|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:32:13 || Estimated Time: 3:55:00
2023-07-21 10:52:44,704 semantic_segmentation INFO: Iters: 46050/50000 || Lr: 0.002037 || Task Loss: 0.1029 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0937|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:32:48 || Estimated Time: 3:54:24
2023-07-21 10:53:19,230 semantic_segmentation INFO: Iters: 46060/50000 || Lr: 0.002032 || Task Loss: 0.0986 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:33:22 || Estimated Time: 3:53:48
2023-07-21 10:53:53,697 semantic_segmentation INFO: Iters: 46070/50000 || Lr: 0.002028 || Task Loss: 0.1038 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0829|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:33:57 || Estimated Time: 3:53:13
2023-07-21 10:54:28,342 semantic_segmentation INFO: Iters: 46080/50000 || Lr: 0.002023 || Task Loss: 0.0962 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:34:31 || Estimated Time: 3:52:37
2023-07-21 10:55:02,896 semantic_segmentation INFO: Iters: 46090/50000 || Lr: 0.002018 || Task Loss: 0.1080 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:35:06 || Estimated Time: 3:52:01
2023-07-21 10:55:37,364 semantic_segmentation INFO: Iters: 46100/50000 || Lr: 0.002014 || Task Loss: 0.0896 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:35:40 || Estimated Time: 3:51:26
2023-07-21 10:56:12,094 semantic_segmentation INFO: Iters: 46110/50000 || Lr: 0.002009 || Task Loss: 0.0958 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1132|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:36:15 || Estimated Time: 3:50:50
2023-07-21 10:56:46,787 semantic_segmentation INFO: Iters: 46120/50000 || Lr: 0.002005 || Task Loss: 0.0865 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0918|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:36:50 || Estimated Time: 3:50:14
2023-07-21 10:57:21,297 semantic_segmentation INFO: Iters: 46130/50000 || Lr: 0.002000 || Task Loss: 0.1160 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0884|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:37:24 || Estimated Time: 3:49:38
2023-07-21 10:57:55,946 semantic_segmentation INFO: Iters: 46140/50000 || Lr: 0.001995 || Task Loss: 0.1096 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:37:59 || Estimated Time: 3:49:03
2023-07-21 10:58:30,419 semantic_segmentation INFO: Iters: 46150/50000 || Lr: 0.001991 || Task Loss: 0.0916 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:38:34 || Estimated Time: 3:48:27
2023-07-21 10:59:04,996 semantic_segmentation INFO: Iters: 46160/50000 || Lr: 0.001986 || Task Loss: 0.0971 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:39:08 || Estimated Time: 3:47:51
2023-07-21 10:59:39,740 semantic_segmentation INFO: Iters: 46170/50000 || Lr: 0.001981 || Task Loss: 0.1005 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:39:43 || Estimated Time: 3:47:16
2023-07-21 11:00:14,228 semantic_segmentation INFO: Iters: 46180/50000 || Lr: 0.001977 || Task Loss: 0.1009 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0972|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:40:17 || Estimated Time: 3:46:40
2023-07-21 11:00:48,817 semantic_segmentation INFO: Iters: 46190/50000 || Lr: 0.001972 || Task Loss: 0.0981 || KD Loss: 0.0242|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:40:52 || Estimated Time: 3:46:04
2023-07-21 11:01:23,665 semantic_segmentation INFO: Iters: 46200/50000 || Lr: 0.001967 || Task Loss: 0.0967 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:41:27 || Estimated Time: 3:45:29
2023-07-21 11:01:58,270 semantic_segmentation INFO: Iters: 46210/50000 || Lr: 0.001963 || Task Loss: 0.0887 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:42:01 || Estimated Time: 3:44:53
2023-07-21 11:02:33,049 semantic_segmentation INFO: Iters: 46220/50000 || Lr: 0.001958 || Task Loss: 0.1098 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1071|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:42:36 || Estimated Time: 3:44:17
2023-07-21 11:03:07,457 semantic_segmentation INFO: Iters: 46230/50000 || Lr: 0.001953 || Task Loss: 0.1044 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:43:11 || Estimated Time: 3:43:42
2023-07-21 11:03:41,874 semantic_segmentation INFO: Iters: 46240/50000 || Lr: 0.001949 || Task Loss: 0.1306 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0852|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:43:45 || Estimated Time: 3:43:06
2023-07-21 11:04:16,676 semantic_segmentation INFO: Iters: 46250/50000 || Lr: 0.001944 || Task Loss: 0.0956 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0977|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:44:20 || Estimated Time: 3:42:30
2023-07-21 11:04:51,088 semantic_segmentation INFO: Iters: 46260/50000 || Lr: 0.001939 || Task Loss: 0.1176 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0914|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:44:54 || Estimated Time: 3:41:55
2023-07-21 11:05:25,606 semantic_segmentation INFO: Iters: 46270/50000 || Lr: 0.001935 || Task Loss: 0.1072 || KD Loss: 0.0259|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:45:29 || Estimated Time: 3:41:19
2023-07-21 11:06:00,442 semantic_segmentation INFO: Iters: 46280/50000 || Lr: 0.001930 || Task Loss: 0.1006 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1002|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:46:04 || Estimated Time: 3:40:43
2023-07-21 11:06:35,172 semantic_segmentation INFO: Iters: 46290/50000 || Lr: 0.001925 || Task Loss: 0.1020 || KD Loss: 0.0223|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0843|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:46:38 || Estimated Time: 3:40:08
2023-07-21 11:07:10,020 semantic_segmentation INFO: Iters: 46300/50000 || Lr: 0.001921 || Task Loss: 0.1031 || KD Loss: 0.0241|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:47:13 || Estimated Time: 3:39:32
2023-07-21 11:07:44,387 semantic_segmentation INFO: Iters: 46310/50000 || Lr: 0.001916 || Task Loss: 0.1326 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0700|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:47:47 || Estimated Time: 3:38:56
2023-07-21 11:08:18,788 semantic_segmentation INFO: Iters: 46320/50000 || Lr: 0.001911 || Task Loss: 0.0945 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0900|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:48:22 || Estimated Time: 3:38:20
2023-07-21 11:08:53,155 semantic_segmentation INFO: Iters: 46330/50000 || Lr: 0.001907 || Task Loss: 0.0942 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:48:56 || Estimated Time: 3:37:45
2023-07-21 11:09:27,554 semantic_segmentation INFO: Iters: 46340/50000 || Lr: 0.001902 || Task Loss: 0.1106 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:49:31 || Estimated Time: 3:37:09
2023-07-21 11:10:01,951 semantic_segmentation INFO: Iters: 46350/50000 || Lr: 0.001897 || Task Loss: 0.1271 || KD Loss: 0.0332|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0733|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:50:05 || Estimated Time: 3:36:33
2023-07-21 11:10:36,385 semantic_segmentation INFO: Iters: 46360/50000 || Lr: 0.001893 || Task Loss: 0.1114 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:50:39 || Estimated Time: 3:35:58
2023-07-21 11:11:10,816 semantic_segmentation INFO: Iters: 46370/50000 || Lr: 0.001888 || Task Loss: 0.1017 || KD Loss: 0.0220|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0847|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:51:14 || Estimated Time: 3:35:22
2023-07-21 11:11:45,576 semantic_segmentation INFO: Iters: 46380/50000 || Lr: 0.001883 || Task Loss: 0.1153 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:51:49 || Estimated Time: 3:34:46
2023-07-21 11:12:20,221 semantic_segmentation INFO: Iters: 46390/50000 || Lr: 0.001879 || Task Loss: 0.1234 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0838|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:52:23 || Estimated Time: 3:34:11
2023-07-21 11:12:54,885 semantic_segmentation INFO: Iters: 46400/50000 || Lr: 0.001874 || Task Loss: 0.1016 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:52:58 || Estimated Time: 3:33:35
2023-07-21 11:12:54,951 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 11:12:55,314 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.703
2023-07-21 11:12:55,335 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.710
2023-07-21 11:12:55,347 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-21 11:12:55,360 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.702
2023-07-21 11:12:55,372 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-21 11:12:55,385 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-21 11:12:55,399 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.698
2023-07-21 11:12:55,411 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 11:12:55,424 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 11:12:55,437 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 11:12:55,450 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 11:12:55,463 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.698
2023-07-21 11:12:55,476 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.699
2023-07-21 11:12:55,489 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 11:12:55,503 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 11:12:55,516 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-21 11:12:55,529 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.695
2023-07-21 11:12:55,543 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.693
2023-07-21 11:12:55,556 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.691
2023-07-21 11:12:55,569 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.689
2023-07-21 11:12:55,582 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.689
2023-07-21 11:12:55,596 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.687
2023-07-21 11:12:55,609 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.685
2023-07-21 11:12:55,622 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-21 11:12:55,635 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-21 11:12:55,649 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-21 11:12:55,663 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-21 11:12:55,677 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.681
2023-07-21 11:12:55,692 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.682
2023-07-21 11:12:55,706 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-21 11:12:55,720 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-21 11:12:55,734 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 11:12:55,749 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 11:12:55,763 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 11:12:55,777 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 11:12:55,791 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.689
2023-07-21 11:12:55,805 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.689
2023-07-21 11:12:55,820 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.690
2023-07-21 11:12:55,834 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-21 11:12:55,848 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-21 11:12:55,862 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-21 11:12:55,876 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 11:12:55,891 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 11:12:55,905 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 11:12:55,919 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 11:12:55,933 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-21 11:12:55,947 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 11:12:55,961 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 11:12:55,974 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 11:12:55,988 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.704
2023-07-21 11:12:56,002 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.704
2023-07-21 11:12:56,016 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.704
2023-07-21 11:12:56,030 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 11:12:56,044 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 11:12:56,058 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.704
2023-07-21 11:12:56,072 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-21 11:12:56,087 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.705
2023-07-21 11:12:56,101 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 11:12:56,115 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 11:12:56,130 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 11:12:56,144 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 11:12:56,158 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.709
2023-07-21 11:12:56,172 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-21 11:12:56,186 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-21 11:12:56,201 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.711
2023-07-21 11:12:56,215 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.712
2023-07-21 11:12:56,229 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 11:12:56,243 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.943, mIoU: 0.714
2023-07-21 11:12:56,257 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-21 11:12:56,271 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-21 11:12:56,286 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-21 11:12:56,300 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-21 11:12:56,314 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 11:12:56,328 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-21 11:12:56,342 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 11:12:56,356 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 11:12:56,369 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 11:12:56,383 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 11:12:56,397 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 11:12:56,411 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 11:12:56,425 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 11:12:56,438 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 11:12:56,452 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.708
2023-07-21 11:12:56,466 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 11:12:56,480 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 11:12:56,495 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 11:12:56,508 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 11:12:56,522 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 11:12:56,536 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-21 11:12:56,550 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 11:12:56,564 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 11:12:56,578 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.935, mIoU: 0.701
2023-07-21 11:12:56,593 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.701
2023-07-21 11:12:56,606 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 11:12:56,621 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 11:12:56,635 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 11:12:56,649 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 11:12:56,663 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 11:12:56,677 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 11:12:56,690 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-21 11:12:56,704 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-21 11:13:31,436 semantic_segmentation INFO: Iters: 46410/50000 || Lr: 0.001869 || Task Loss: 0.1103 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:53:35 || Estimated Time: 3:32:59
2023-07-21 11:14:06,028 semantic_segmentation INFO: Iters: 46420/50000 || Lr: 0.001864 || Task Loss: 0.1013 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:54:09 || Estimated Time: 3:32:24
2023-07-21 11:14:40,541 semantic_segmentation INFO: Iters: 46430/50000 || Lr: 0.001860 || Task Loss: 0.1002 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:54:44 || Estimated Time: 3:31:48
2023-07-21 11:15:15,016 semantic_segmentation INFO: Iters: 46440/50000 || Lr: 0.001855 || Task Loss: 0.0974 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0853|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:55:18 || Estimated Time: 3:31:12
2023-07-21 11:15:49,512 semantic_segmentation INFO: Iters: 46450/50000 || Lr: 0.001850 || Task Loss: 0.1106 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:55:53 || Estimated Time: 3:30:37
2023-07-21 11:16:23,893 semantic_segmentation INFO: Iters: 46460/50000 || Lr: 0.001846 || Task Loss: 0.1097 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:56:27 || Estimated Time: 3:30:01
2023-07-21 11:16:58,362 semantic_segmentation INFO: Iters: 46470/50000 || Lr: 0.001841 || Task Loss: 0.1005 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:57:01 || Estimated Time: 3:29:25
2023-07-21 11:17:32,744 semantic_segmentation INFO: Iters: 46480/50000 || Lr: 0.001836 || Task Loss: 0.1016 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:57:36 || Estimated Time: 3:28:50
2023-07-21 11:18:07,207 semantic_segmentation INFO: Iters: 46490/50000 || Lr: 0.001832 || Task Loss: 0.1154 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1014|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:58:10 || Estimated Time: 3:28:14
2023-07-21 11:18:41,734 semantic_segmentation INFO: Iters: 46500/50000 || Lr: 0.001827 || Task Loss: 0.1042 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0967|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:58:45 || Estimated Time: 3:27:38
2023-07-21 11:19:16,328 semantic_segmentation INFO: Iters: 46510/50000 || Lr: 0.001822 || Task Loss: 0.0903 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:59:19 || Estimated Time: 3:27:03
2023-07-21 11:19:50,715 semantic_segmentation INFO: Iters: 46520/50000 || Lr: 0.001818 || Task Loss: 0.1113 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 21:59:54 || Estimated Time: 3:26:27
2023-07-21 11:20:25,181 semantic_segmentation INFO: Iters: 46530/50000 || Lr: 0.001813 || Task Loss: 0.1031 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:00:28 || Estimated Time: 3:25:51
2023-07-21 11:20:59,801 semantic_segmentation INFO: Iters: 46540/50000 || Lr: 0.001808 || Task Loss: 0.1168 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:01:03 || Estimated Time: 3:25:16
2023-07-21 11:21:34,398 semantic_segmentation INFO: Iters: 46550/50000 || Lr: 0.001803 || Task Loss: 0.1142 || KD Loss: 0.0229|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0837|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:01:38 || Estimated Time: 3:24:40
2023-07-21 11:22:08,801 semantic_segmentation INFO: Iters: 46560/50000 || Lr: 0.001799 || Task Loss: 0.1098 || KD Loss: 0.0235|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0859|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:02:12 || Estimated Time: 3:24:04
2023-07-21 11:22:43,343 semantic_segmentation INFO: Iters: 46570/50000 || Lr: 0.001794 || Task Loss: 0.1075 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:02:46 || Estimated Time: 3:23:29
2023-07-21 11:23:17,805 semantic_segmentation INFO: Iters: 46580/50000 || Lr: 0.001789 || Task Loss: 0.1118 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1018|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:03:21 || Estimated Time: 3:22:53
2023-07-21 11:23:52,236 semantic_segmentation INFO: Iters: 46590/50000 || Lr: 0.001785 || Task Loss: 0.1029 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:03:55 || Estimated Time: 3:22:17
2023-07-21 11:24:26,506 semantic_segmentation INFO: Iters: 46600/50000 || Lr: 0.001780 || Task Loss: 0.0954 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0942|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:04:30 || Estimated Time: 3:21:42
2023-07-21 11:25:00,754 semantic_segmentation INFO: Iters: 46610/50000 || Lr: 0.001775 || Task Loss: 0.0993 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:05:04 || Estimated Time: 3:21:06
2023-07-21 11:25:35,046 semantic_segmentation INFO: Iters: 46620/50000 || Lr: 0.001771 || Task Loss: 0.0933 || KD Loss: 0.0224|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:05:38 || Estimated Time: 3:20:30
2023-07-21 11:26:09,607 semantic_segmentation INFO: Iters: 46630/50000 || Lr: 0.001766 || Task Loss: 0.0985 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:06:13 || Estimated Time: 3:19:54
2023-07-21 11:26:44,002 semantic_segmentation INFO: Iters: 46640/50000 || Lr: 0.001761 || Task Loss: 0.1094 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:06:47 || Estimated Time: 3:19:19
2023-07-21 11:27:18,296 semantic_segmentation INFO: Iters: 46650/50000 || Lr: 0.001756 || Task Loss: 0.0947 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1086|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:07:21 || Estimated Time: 3:18:43
2023-07-21 11:27:52,682 semantic_segmentation INFO: Iters: 46660/50000 || Lr: 0.001752 || Task Loss: 0.0998 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1077|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:07:56 || Estimated Time: 3:18:07
2023-07-21 11:28:27,025 semantic_segmentation INFO: Iters: 46670/50000 || Lr: 0.001747 || Task Loss: 0.0933 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:08:30 || Estimated Time: 3:17:32
2023-07-21 11:29:01,252 semantic_segmentation INFO: Iters: 46680/50000 || Lr: 0.001742 || Task Loss: 0.1122 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:09:04 || Estimated Time: 3:16:56
2023-07-21 11:29:35,515 semantic_segmentation INFO: Iters: 46690/50000 || Lr: 0.001737 || Task Loss: 0.1197 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0800|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:09:39 || Estimated Time: 3:16:20
2023-07-21 11:30:09,860 semantic_segmentation INFO: Iters: 46700/50000 || Lr: 0.001733 || Task Loss: 0.1009 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:10:13 || Estimated Time: 3:15:45
2023-07-21 11:30:44,130 semantic_segmentation INFO: Iters: 46710/50000 || Lr: 0.001728 || Task Loss: 0.1246 || KD Loss: 0.0327|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0846|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:10:47 || Estimated Time: 3:15:09
2023-07-21 11:31:18,415 semantic_segmentation INFO: Iters: 46720/50000 || Lr: 0.001723 || Task Loss: 0.0983 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:11:22 || Estimated Time: 3:14:33
2023-07-21 11:31:52,726 semantic_segmentation INFO: Iters: 46730/50000 || Lr: 0.001719 || Task Loss: 0.1124 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:11:56 || Estimated Time: 3:13:58
2023-07-21 11:32:27,102 semantic_segmentation INFO: Iters: 46740/50000 || Lr: 0.001714 || Task Loss: 0.0910 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0981|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:12:30 || Estimated Time: 3:13:22
2023-07-21 11:33:01,412 semantic_segmentation INFO: Iters: 46750/50000 || Lr: 0.001709 || Task Loss: 0.0997 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:13:05 || Estimated Time: 3:12:46
2023-07-21 11:33:35,865 semantic_segmentation INFO: Iters: 46760/50000 || Lr: 0.001704 || Task Loss: 0.1115 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:13:39 || Estimated Time: 3:12:11
2023-07-21 11:34:10,278 semantic_segmentation INFO: Iters: 46770/50000 || Lr: 0.001700 || Task Loss: 0.0943 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:14:13 || Estimated Time: 3:11:35
2023-07-21 11:34:44,514 semantic_segmentation INFO: Iters: 46780/50000 || Lr: 0.001695 || Task Loss: 0.1120 || KD Loss: 0.0249|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0819|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:14:48 || Estimated Time: 3:10:59
2023-07-21 11:35:19,107 semantic_segmentation INFO: Iters: 46790/50000 || Lr: 0.001690 || Task Loss: 0.1142 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:15:22 || Estimated Time: 3:10:24
2023-07-21 11:35:53,684 semantic_segmentation INFO: Iters: 46800/50000 || Lr: 0.001685 || Task Loss: 0.1224 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0812|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:15:57 || Estimated Time: 3:09:48
2023-07-21 11:36:28,241 semantic_segmentation INFO: Iters: 46810/50000 || Lr: 0.001681 || Task Loss: 0.1086 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:16:31 || Estimated Time: 3:09:12
2023-07-21 11:37:02,763 semantic_segmentation INFO: Iters: 46820/50000 || Lr: 0.001676 || Task Loss: 0.1145 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0894|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:17:06 || Estimated Time: 3:08:37
2023-07-21 11:37:37,331 semantic_segmentation INFO: Iters: 46830/50000 || Lr: 0.001671 || Task Loss: 0.1126 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:17:40 || Estimated Time: 3:08:01
2023-07-21 11:38:11,941 semantic_segmentation INFO: Iters: 46840/50000 || Lr: 0.001666 || Task Loss: 0.1097 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:18:15 || Estimated Time: 3:07:25
2023-07-21 11:38:46,644 semantic_segmentation INFO: Iters: 46850/50000 || Lr: 0.001662 || Task Loss: 0.0867 || KD Loss: 0.0249|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:18:50 || Estimated Time: 3:06:50
2023-07-21 11:39:21,018 semantic_segmentation INFO: Iters: 46860/50000 || Lr: 0.001657 || Task Loss: 0.1047 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1092|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:19:24 || Estimated Time: 3:06:14
2023-07-21 11:39:55,554 semantic_segmentation INFO: Iters: 46870/50000 || Lr: 0.001652 || Task Loss: 0.0970 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0932|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:19:59 || Estimated Time: 3:05:38
2023-07-21 11:40:29,951 semantic_segmentation INFO: Iters: 46880/50000 || Lr: 0.001647 || Task Loss: 0.0931 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1081|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:20:33 || Estimated Time: 3:05:03
2023-07-21 11:41:04,216 semantic_segmentation INFO: Iters: 46890/50000 || Lr: 0.001643 || Task Loss: 0.0978 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:21:07 || Estimated Time: 3:04:27
2023-07-21 11:41:38,515 semantic_segmentation INFO: Iters: 46900/50000 || Lr: 0.001638 || Task Loss: 0.1033 || KD Loss: 0.0311|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:21:42 || Estimated Time: 3:03:51
2023-07-21 11:42:12,884 semantic_segmentation INFO: Iters: 46910/50000 || Lr: 0.001633 || Task Loss: 0.0935 || KD Loss: 0.0222|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:22:16 || Estimated Time: 3:03:16
2023-07-21 11:42:47,235 semantic_segmentation INFO: Iters: 46920/50000 || Lr: 0.001628 || Task Loss: 0.1094 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:22:50 || Estimated Time: 3:02:40
2023-07-21 11:43:21,633 semantic_segmentation INFO: Iters: 46930/50000 || Lr: 0.001624 || Task Loss: 0.1093 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:23:25 || Estimated Time: 3:02:04
2023-07-21 11:43:56,004 semantic_segmentation INFO: Iters: 46940/50000 || Lr: 0.001619 || Task Loss: 0.0942 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:23:59 || Estimated Time: 3:01:29
2023-07-21 11:44:30,326 semantic_segmentation INFO: Iters: 46950/50000 || Lr: 0.001614 || Task Loss: 0.1007 || KD Loss: 0.0324|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:24:33 || Estimated Time: 3:00:53
2023-07-21 11:45:04,705 semantic_segmentation INFO: Iters: 46960/50000 || Lr: 0.001609 || Task Loss: 0.1004 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:25:08 || Estimated Time: 3:00:17
2023-07-21 11:45:39,032 semantic_segmentation INFO: Iters: 46970/50000 || Lr: 0.001605 || Task Loss: 0.1111 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0887|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:25:42 || Estimated Time: 2:59:42
2023-07-21 11:46:13,379 semantic_segmentation INFO: Iters: 46980/50000 || Lr: 0.001600 || Task Loss: 0.0912 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:26:16 || Estimated Time: 2:59:06
2023-07-21 11:46:47,842 semantic_segmentation INFO: Iters: 46990/50000 || Lr: 0.001595 || Task Loss: 0.0953 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:26:51 || Estimated Time: 2:58:30
2023-07-21 11:47:22,275 semantic_segmentation INFO: Iters: 47000/50000 || Lr: 0.001590 || Task Loss: 0.1121 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:27:25 || Estimated Time: 2:57:55
2023-07-21 11:47:56,438 semantic_segmentation INFO: Iters: 47010/50000 || Lr: 0.001586 || Task Loss: 0.1238 || KD Loss: 0.0260|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0755|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:28:00 || Estimated Time: 2:57:19
2023-07-21 11:48:30,761 semantic_segmentation INFO: Iters: 47020/50000 || Lr: 0.001581 || Task Loss: 0.1003 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:28:34 || Estimated Time: 2:56:43
2023-07-21 11:49:05,101 semantic_segmentation INFO: Iters: 47030/50000 || Lr: 0.001576 || Task Loss: 0.0893 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1047|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:29:08 || Estimated Time: 2:56:08
2023-07-21 11:49:39,290 semantic_segmentation INFO: Iters: 47040/50000 || Lr: 0.001571 || Task Loss: 0.0940 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:29:42 || Estimated Time: 2:55:32
2023-07-21 11:50:13,737 semantic_segmentation INFO: Iters: 47050/50000 || Lr: 0.001566 || Task Loss: 0.0973 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0885|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:30:17 || Estimated Time: 2:54:56
2023-07-21 11:50:48,113 semantic_segmentation INFO: Iters: 47060/50000 || Lr: 0.001562 || Task Loss: 0.1119 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:30:51 || Estimated Time: 2:54:21
2023-07-21 11:51:22,612 semantic_segmentation INFO: Iters: 47070/50000 || Lr: 0.001557 || Task Loss: 0.1228 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0845|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:31:26 || Estimated Time: 2:53:45
2023-07-21 11:51:57,082 semantic_segmentation INFO: Iters: 47080/50000 || Lr: 0.001552 || Task Loss: 0.1036 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0893|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:32:00 || Estimated Time: 2:53:09
2023-07-21 11:52:31,591 semantic_segmentation INFO: Iters: 47090/50000 || Lr: 0.001547 || Task Loss: 0.0932 || KD Loss: 0.0232|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:32:35 || Estimated Time: 2:52:34
2023-07-21 11:53:05,950 semantic_segmentation INFO: Iters: 47100/50000 || Lr: 0.001543 || Task Loss: 0.0880 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:33:09 || Estimated Time: 2:51:58
2023-07-21 11:53:40,623 semantic_segmentation INFO: Iters: 47110/50000 || Lr: 0.001538 || Task Loss: 0.0926 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0855|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:33:44 || Estimated Time: 2:51:22
2023-07-21 11:54:15,132 semantic_segmentation INFO: Iters: 47120/50000 || Lr: 0.001533 || Task Loss: 0.1111 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0899|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:34:18 || Estimated Time: 2:50:47
2023-07-21 11:54:49,593 semantic_segmentation INFO: Iters: 47130/50000 || Lr: 0.001528 || Task Loss: 0.0847 || KD Loss: 0.0241|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:34:53 || Estimated Time: 2:50:11
2023-07-21 11:55:24,128 semantic_segmentation INFO: Iters: 47140/50000 || Lr: 0.001523 || Task Loss: 0.1021 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:35:27 || Estimated Time: 2:49:36
2023-07-21 11:55:58,547 semantic_segmentation INFO: Iters: 47150/50000 || Lr: 0.001519 || Task Loss: 0.1054 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:36:02 || Estimated Time: 2:49:00
2023-07-21 11:56:33,021 semantic_segmentation INFO: Iters: 47160/50000 || Lr: 0.001514 || Task Loss: 0.1184 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:36:36 || Estimated Time: 2:48:24
2023-07-21 11:57:07,372 semantic_segmentation INFO: Iters: 47170/50000 || Lr: 0.001509 || Task Loss: 0.0961 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:37:10 || Estimated Time: 2:47:49
2023-07-21 11:57:41,754 semantic_segmentation INFO: Iters: 47180/50000 || Lr: 0.001504 || Task Loss: 0.1051 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:37:45 || Estimated Time: 2:47:13
2023-07-21 11:58:16,158 semantic_segmentation INFO: Iters: 47190/50000 || Lr: 0.001499 || Task Loss: 0.1170 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:38:19 || Estimated Time: 2:46:37
2023-07-21 11:58:50,847 semantic_segmentation INFO: Iters: 47200/50000 || Lr: 0.001495 || Task Loss: 0.1043 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0857|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:38:54 || Estimated Time: 2:46:02
2023-07-21 11:58:50,914 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 11:58:51,281 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.706
2023-07-21 11:58:51,299 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.712
2023-07-21 11:58:51,311 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.709
2023-07-21 11:58:51,323 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 11:58:51,336 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 11:58:51,348 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 11:58:51,361 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 11:58:51,373 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 11:58:51,386 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 11:58:51,399 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 11:58:51,411 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 11:58:51,424 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-21 11:58:51,437 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 11:58:51,451 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 11:58:51,464 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.703
2023-07-21 11:58:51,477 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.701
2023-07-21 11:58:51,490 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-21 11:58:51,503 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-21 11:58:51,516 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.696
2023-07-21 11:58:51,529 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-21 11:58:51,542 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.693
2023-07-21 11:58:51,555 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-21 11:58:51,568 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.689
2023-07-21 11:58:51,581 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 11:58:51,595 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 11:58:51,608 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 11:58:51,622 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 11:58:51,635 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 11:58:51,649 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 11:58:51,663 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 11:58:51,677 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 11:58:51,691 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 11:58:51,705 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 11:58:51,719 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-21 11:58:51,733 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.692
2023-07-21 11:58:51,747 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-21 11:58:51,761 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-21 11:58:51,775 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-21 11:58:51,788 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-21 11:58:51,802 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 11:58:51,816 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-21 11:58:51,830 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 11:58:51,845 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.698
2023-07-21 11:58:51,859 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.700
2023-07-21 11:58:51,873 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-21 11:58:51,887 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 11:58:51,901 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 11:58:51,915 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 11:58:51,930 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-21 11:58:51,944 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-21 11:58:51,958 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-21 11:58:51,972 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 11:58:51,987 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 11:58:52,001 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 11:58:52,015 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 11:58:52,029 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 11:58:52,043 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 11:58:52,057 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 11:58:52,071 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.708
2023-07-21 11:58:52,085 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-21 11:58:52,099 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-21 11:58:52,113 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-21 11:58:52,127 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-21 11:58:52,140 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.712
2023-07-21 11:58:52,154 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-21 11:58:52,168 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.713
2023-07-21 11:58:52,181 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 11:58:52,195 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.714
2023-07-21 11:58:52,209 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.715
2023-07-21 11:58:52,222 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-21 11:58:52,236 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 11:58:52,250 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.716
2023-07-21 11:58:52,265 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 11:58:52,279 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 11:58:52,293 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.941, mIoU: 0.715
2023-07-21 11:58:52,307 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 11:58:52,321 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 11:58:52,335 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 11:58:52,349 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.939, mIoU: 0.712
2023-07-21 11:58:52,363 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 11:58:52,378 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 11:58:52,392 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 11:58:52,406 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 11:58:52,420 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 11:58:52,434 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 11:58:52,447 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 11:58:52,461 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 11:58:52,475 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 11:58:52,488 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 11:58:52,502 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 11:58:52,515 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.702
2023-07-21 11:58:52,529 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 11:58:52,542 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 11:58:52,556 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 11:58:52,569 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.702
2023-07-21 11:58:52,582 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 11:58:52,596 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 11:58:52,609 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 11:58:52,623 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 11:58:52,637 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-21 11:58:52,651 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.698
2023-07-21 11:59:27,056 semantic_segmentation INFO: Iters: 47210/50000 || Lr: 0.001490 || Task Loss: 0.1277 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0758|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:39:30 || Estimated Time: 2:45:26
2023-07-21 12:00:01,459 semantic_segmentation INFO: Iters: 47220/50000 || Lr: 0.001485 || Task Loss: 0.0948 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:40:05 || Estimated Time: 2:44:50
2023-07-21 12:00:35,835 semantic_segmentation INFO: Iters: 47230/50000 || Lr: 0.001480 || Task Loss: 0.1266 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0822|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:40:39 || Estimated Time: 2:44:15
2023-07-21 12:01:10,221 semantic_segmentation INFO: Iters: 47240/50000 || Lr: 0.001475 || Task Loss: 0.0961 || KD Loss: 0.0249|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:41:13 || Estimated Time: 2:43:39
2023-07-21 12:01:44,679 semantic_segmentation INFO: Iters: 47250/50000 || Lr: 0.001471 || Task Loss: 0.1076 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:41:48 || Estimated Time: 2:43:04
2023-07-21 12:02:18,937 semantic_segmentation INFO: Iters: 47260/50000 || Lr: 0.001466 || Task Loss: 0.1004 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:42:22 || Estimated Time: 2:42:28
2023-07-21 12:02:53,294 semantic_segmentation INFO: Iters: 47270/50000 || Lr: 0.001461 || Task Loss: 0.1166 || KD Loss: 0.0322|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:42:56 || Estimated Time: 2:41:52
2023-07-21 12:03:27,667 semantic_segmentation INFO: Iters: 47280/50000 || Lr: 0.001456 || Task Loss: 0.1002 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:43:31 || Estimated Time: 2:41:17
2023-07-21 12:04:02,010 semantic_segmentation INFO: Iters: 47290/50000 || Lr: 0.001451 || Task Loss: 0.1124 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0994|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:44:05 || Estimated Time: 2:40:41
2023-07-21 12:04:36,364 semantic_segmentation INFO: Iters: 47300/50000 || Lr: 0.001447 || Task Loss: 0.1015 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:44:39 || Estimated Time: 2:40:05
2023-07-21 12:05:10,804 semantic_segmentation INFO: Iters: 47310/50000 || Lr: 0.001442 || Task Loss: 0.1208 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:45:14 || Estimated Time: 2:39:30
2023-07-21 12:05:45,215 semantic_segmentation INFO: Iters: 47320/50000 || Lr: 0.001437 || Task Loss: 0.1025 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1068|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:45:48 || Estimated Time: 2:38:54
2023-07-21 12:06:19,563 semantic_segmentation INFO: Iters: 47330/50000 || Lr: 0.001432 || Task Loss: 0.1002 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1075|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:46:23 || Estimated Time: 2:38:18
2023-07-21 12:06:53,707 semantic_segmentation INFO: Iters: 47340/50000 || Lr: 0.001427 || Task Loss: 0.0973 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:46:57 || Estimated Time: 2:37:43
2023-07-21 12:07:27,928 semantic_segmentation INFO: Iters: 47350/50000 || Lr: 0.001422 || Task Loss: 0.1067 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:47:31 || Estimated Time: 2:37:07
2023-07-21 12:08:02,121 semantic_segmentation INFO: Iters: 47360/50000 || Lr: 0.001418 || Task Loss: 0.1026 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0898|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:48:05 || Estimated Time: 2:36:31
2023-07-21 12:08:36,302 semantic_segmentation INFO: Iters: 47370/50000 || Lr: 0.001413 || Task Loss: 0.0944 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0896|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:48:39 || Estimated Time: 2:35:56
2023-07-21 12:09:10,691 semantic_segmentation INFO: Iters: 47380/50000 || Lr: 0.001408 || Task Loss: 0.0998 || KD Loss: 0.0239|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0879|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:49:14 || Estimated Time: 2:35:20
2023-07-21 12:09:45,127 semantic_segmentation INFO: Iters: 47390/50000 || Lr: 0.001403 || Task Loss: 0.0921 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:49:48 || Estimated Time: 2:34:44
2023-07-21 12:10:19,495 semantic_segmentation INFO: Iters: 47400/50000 || Lr: 0.001398 || Task Loss: 0.0931 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0998|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:50:23 || Estimated Time: 2:34:09
2023-07-21 12:10:53,779 semantic_segmentation INFO: Iters: 47410/50000 || Lr: 0.001393 || Task Loss: 0.1139 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:50:57 || Estimated Time: 2:33:33
2023-07-21 12:11:28,148 semantic_segmentation INFO: Iters: 47420/50000 || Lr: 0.001389 || Task Loss: 0.1099 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0902|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:51:31 || Estimated Time: 2:32:58
2023-07-21 12:12:02,552 semantic_segmentation INFO: Iters: 47430/50000 || Lr: 0.001384 || Task Loss: 0.0888 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0929|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:52:06 || Estimated Time: 2:32:22
2023-07-21 12:12:36,967 semantic_segmentation INFO: Iters: 47440/50000 || Lr: 0.001379 || Task Loss: 0.1040 || KD Loss: 0.0309|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0980|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:52:40 || Estimated Time: 2:31:46
2023-07-21 12:13:11,534 semantic_segmentation INFO: Iters: 47450/50000 || Lr: 0.001374 || Task Loss: 0.1110 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0918|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:53:15 || Estimated Time: 2:31:11
2023-07-21 12:13:45,963 semantic_segmentation INFO: Iters: 47460/50000 || Lr: 0.001369 || Task Loss: 0.1108 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0912|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:53:49 || Estimated Time: 2:30:35
2023-07-21 12:14:20,270 semantic_segmentation INFO: Iters: 47470/50000 || Lr: 0.001364 || Task Loss: 0.1102 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0961|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:54:23 || Estimated Time: 2:29:59
2023-07-21 12:14:54,436 semantic_segmentation INFO: Iters: 47480/50000 || Lr: 0.001359 || Task Loss: 0.1146 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:54:58 || Estimated Time: 2:29:24
2023-07-21 12:15:28,662 semantic_segmentation INFO: Iters: 47490/50000 || Lr: 0.001355 || Task Loss: 0.1056 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1009|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:55:32 || Estimated Time: 2:28:48
2023-07-21 12:16:02,957 semantic_segmentation INFO: Iters: 47500/50000 || Lr: 0.001350 || Task Loss: 0.1316 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:56:06 || Estimated Time: 2:28:12
2023-07-21 12:16:37,272 semantic_segmentation INFO: Iters: 47510/50000 || Lr: 0.001345 || Task Loss: 0.1033 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1003|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:56:40 || Estimated Time: 2:27:37
2023-07-21 12:17:11,564 semantic_segmentation INFO: Iters: 47520/50000 || Lr: 0.001340 || Task Loss: 0.1036 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1109|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:57:15 || Estimated Time: 2:27:01
2023-07-21 12:17:45,900 semantic_segmentation INFO: Iters: 47530/50000 || Lr: 0.001335 || Task Loss: 0.1159 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0816|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:57:49 || Estimated Time: 2:26:26
2023-07-21 12:18:20,032 semantic_segmentation INFO: Iters: 47540/50000 || Lr: 0.001330 || Task Loss: 0.1022 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0874|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:58:23 || Estimated Time: 2:25:50
2023-07-21 12:18:54,319 semantic_segmentation INFO: Iters: 47550/50000 || Lr: 0.001325 || Task Loss: 0.1013 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1095|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:58:57 || Estimated Time: 2:25:14
2023-07-21 12:19:28,398 semantic_segmentation INFO: Iters: 47560/50000 || Lr: 0.001321 || Task Loss: 0.0906 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 22:59:31 || Estimated Time: 2:24:39
2023-07-21 12:20:02,610 semantic_segmentation INFO: Iters: 47570/50000 || Lr: 0.001316 || Task Loss: 0.1054 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:00:06 || Estimated Time: 2:24:03
2023-07-21 12:20:36,962 semantic_segmentation INFO: Iters: 47580/50000 || Lr: 0.001311 || Task Loss: 0.1297 || KD Loss: 0.0383|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1038|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:00:40 || Estimated Time: 2:23:27
2023-07-21 12:21:11,258 semantic_segmentation INFO: Iters: 47590/50000 || Lr: 0.001306 || Task Loss: 0.0952 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:01:14 || Estimated Time: 2:22:52
2023-07-21 12:21:45,448 semantic_segmentation INFO: Iters: 47600/50000 || Lr: 0.001301 || Task Loss: 0.0928 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1053|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:01:49 || Estimated Time: 2:22:16
2023-07-21 12:22:19,651 semantic_segmentation INFO: Iters: 47610/50000 || Lr: 0.001296 || Task Loss: 0.1093 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0938|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:02:23 || Estimated Time: 2:21:40
2023-07-21 12:22:53,873 semantic_segmentation INFO: Iters: 47620/50000 || Lr: 0.001291 || Task Loss: 0.0824 || KD Loss: 0.0235|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:02:57 || Estimated Time: 2:21:05
2023-07-21 12:23:28,211 semantic_segmentation INFO: Iters: 47630/50000 || Lr: 0.001286 || Task Loss: 0.0894 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0947|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:03:31 || Estimated Time: 2:20:29
2023-07-21 12:24:02,575 semantic_segmentation INFO: Iters: 47640/50000 || Lr: 0.001282 || Task Loss: 0.1068 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:04:06 || Estimated Time: 2:19:54
2023-07-21 12:24:37,035 semantic_segmentation INFO: Iters: 47650/50000 || Lr: 0.001277 || Task Loss: 0.0878 || KD Loss: 0.0242|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:04:40 || Estimated Time: 2:19:18
2023-07-21 12:25:11,377 semantic_segmentation INFO: Iters: 47660/50000 || Lr: 0.001272 || Task Loss: 0.1218 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0857|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:05:14 || Estimated Time: 2:18:42
2023-07-21 12:25:45,814 semantic_segmentation INFO: Iters: 47670/50000 || Lr: 0.001267 || Task Loss: 0.0958 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:05:49 || Estimated Time: 2:18:07
2023-07-21 12:26:20,268 semantic_segmentation INFO: Iters: 47680/50000 || Lr: 0.001262 || Task Loss: 0.1006 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:06:23 || Estimated Time: 2:17:31
2023-07-21 12:26:54,669 semantic_segmentation INFO: Iters: 47690/50000 || Lr: 0.001257 || Task Loss: 0.0988 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1058|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:06:58 || Estimated Time: 2:16:55
2023-07-21 12:27:29,048 semantic_segmentation INFO: Iters: 47700/50000 || Lr: 0.001252 || Task Loss: 0.0919 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0952|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:07:32 || Estimated Time: 2:16:20
2023-07-21 12:28:03,421 semantic_segmentation INFO: Iters: 47710/50000 || Lr: 0.001247 || Task Loss: 0.1064 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:08:07 || Estimated Time: 2:15:44
2023-07-21 12:28:37,827 semantic_segmentation INFO: Iters: 47720/50000 || Lr: 0.001242 || Task Loss: 0.1032 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0865|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:08:41 || Estimated Time: 2:15:09
2023-07-21 12:29:12,076 semantic_segmentation INFO: Iters: 47730/50000 || Lr: 0.001238 || Task Loss: 0.1101 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:09:15 || Estimated Time: 2:14:33
2023-07-21 12:29:46,626 semantic_segmentation INFO: Iters: 47740/50000 || Lr: 0.001233 || Task Loss: 0.1023 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1062|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:09:50 || Estimated Time: 2:13:57
2023-07-21 12:30:21,057 semantic_segmentation INFO: Iters: 47750/50000 || Lr: 0.001228 || Task Loss: 0.1153 || KD Loss: 0.0339|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:10:24 || Estimated Time: 2:13:22
2023-07-21 12:30:55,347 semantic_segmentation INFO: Iters: 47760/50000 || Lr: 0.001223 || Task Loss: 0.1247 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:10:58 || Estimated Time: 2:12:46
2023-07-21 12:31:29,498 semantic_segmentation INFO: Iters: 47770/50000 || Lr: 0.001218 || Task Loss: 0.0967 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1084|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:11:33 || Estimated Time: 2:12:10
2023-07-21 12:32:03,722 semantic_segmentation INFO: Iters: 47780/50000 || Lr: 0.001213 || Task Loss: 0.1045 || KD Loss: 0.0282|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0963|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:12:07 || Estimated Time: 2:11:35
2023-07-21 12:32:38,059 semantic_segmentation INFO: Iters: 47790/50000 || Lr: 0.001208 || Task Loss: 0.1106 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:12:41 || Estimated Time: 2:10:59
2023-07-21 12:33:12,360 semantic_segmentation INFO: Iters: 47800/50000 || Lr: 0.001203 || Task Loss: 0.1079 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1013|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:13:15 || Estimated Time: 2:10:24
2023-07-21 12:33:46,699 semantic_segmentation INFO: Iters: 47810/50000 || Lr: 0.001198 || Task Loss: 0.1098 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:13:50 || Estimated Time: 2:09:48
2023-07-21 12:34:20,859 semantic_segmentation INFO: Iters: 47820/50000 || Lr: 0.001193 || Task Loss: 0.0881 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:14:24 || Estimated Time: 2:09:12
2023-07-21 12:34:55,069 semantic_segmentation INFO: Iters: 47830/50000 || Lr: 0.001188 || Task Loss: 0.1120 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:14:58 || Estimated Time: 2:08:37
2023-07-21 12:35:29,122 semantic_segmentation INFO: Iters: 47840/50000 || Lr: 0.001183 || Task Loss: 0.0885 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1078|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:15:32 || Estimated Time: 2:08:01
2023-07-21 12:36:03,450 semantic_segmentation INFO: Iters: 47850/50000 || Lr: 0.001179 || Task Loss: 0.0973 || KD Loss: 0.0242|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0849|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:16:07 || Estimated Time: 2:07:25
2023-07-21 12:36:37,610 semantic_segmentation INFO: Iters: 47860/50000 || Lr: 0.001174 || Task Loss: 0.0908 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0885|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:16:41 || Estimated Time: 2:06:50
2023-07-21 12:37:11,885 semantic_segmentation INFO: Iters: 47870/50000 || Lr: 0.001169 || Task Loss: 0.1185 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0841|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:17:15 || Estimated Time: 2:06:14
2023-07-21 12:37:46,167 semantic_segmentation INFO: Iters: 47880/50000 || Lr: 0.001164 || Task Loss: 0.0862 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1011|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:17:49 || Estimated Time: 2:05:39
2023-07-21 12:38:20,441 semantic_segmentation INFO: Iters: 47890/50000 || Lr: 0.001159 || Task Loss: 0.0951 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1065|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:18:24 || Estimated Time: 2:05:03
2023-07-21 12:38:54,731 semantic_segmentation INFO: Iters: 47900/50000 || Lr: 0.001154 || Task Loss: 0.1034 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0924|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:18:58 || Estimated Time: 2:04:27
2023-07-21 12:39:29,093 semantic_segmentation INFO: Iters: 47910/50000 || Lr: 0.001149 || Task Loss: 0.0960 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:19:32 || Estimated Time: 2:03:52
2023-07-21 12:40:03,275 semantic_segmentation INFO: Iters: 47920/50000 || Lr: 0.001144 || Task Loss: 0.0963 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:20:06 || Estimated Time: 2:03:16
2023-07-21 12:40:37,547 semantic_segmentation INFO: Iters: 47930/50000 || Lr: 0.001139 || Task Loss: 0.1198 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0903|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:20:41 || Estimated Time: 2:02:40
2023-07-21 12:41:11,836 semantic_segmentation INFO: Iters: 47940/50000 || Lr: 0.001134 || Task Loss: 0.1076 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1012|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:21:15 || Estimated Time: 2:02:05
2023-07-21 12:41:46,109 semantic_segmentation INFO: Iters: 47950/50000 || Lr: 0.001129 || Task Loss: 0.1061 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:21:49 || Estimated Time: 2:01:29
2023-07-21 12:42:20,526 semantic_segmentation INFO: Iters: 47960/50000 || Lr: 0.001124 || Task Loss: 0.0968 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1008|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:22:24 || Estimated Time: 2:00:54
2023-07-21 12:42:54,874 semantic_segmentation INFO: Iters: 47970/50000 || Lr: 0.001119 || Task Loss: 0.0859 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1000|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:22:58 || Estimated Time: 2:00:18
2023-07-21 12:43:29,178 semantic_segmentation INFO: Iters: 47980/50000 || Lr: 0.001114 || Task Loss: 0.0915 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0903|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:23:32 || Estimated Time: 1:59:42
2023-07-21 12:44:03,581 semantic_segmentation INFO: Iters: 47990/50000 || Lr: 0.001109 || Task Loss: 0.1060 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0815|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:24:07 || Estimated Time: 1:59:07
2023-07-21 12:44:37,936 semantic_segmentation INFO: Iters: 48000/50000 || Lr: 0.001104 || Task Loss: 0.0873 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:24:41 || Estimated Time: 1:58:31
2023-07-21 12:44:38,001 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 12:44:38,371 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-21 12:44:38,384 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.712
2023-07-21 12:44:38,397 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.709
2023-07-21 12:44:38,409 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.706
2023-07-21 12:44:38,422 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 12:44:38,435 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 12:44:38,448 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 12:44:38,460 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 12:44:38,473 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 12:44:38,485 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 12:44:38,498 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 12:44:38,511 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.701
2023-07-21 12:44:38,524 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 12:44:38,537 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.701
2023-07-21 12:44:38,549 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 12:44:38,562 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-21 12:44:38,575 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-21 12:44:38,588 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-21 12:44:38,601 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-21 12:44:38,614 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 12:44:38,627 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 12:44:38,640 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-21 12:44:38,653 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-21 12:44:38,666 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 12:44:38,679 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 12:44:38,692 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 12:44:38,705 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 12:44:38,718 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 12:44:38,731 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 12:44:38,744 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 12:44:38,757 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 12:44:38,770 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 12:44:38,784 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 12:44:38,797 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 12:44:38,811 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-21 12:44:38,825 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-21 12:44:38,838 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.691
2023-07-21 12:44:38,852 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-21 12:44:38,865 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-21 12:44:38,879 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-21 12:44:38,893 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-21 12:44:38,906 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 12:44:38,920 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 12:44:38,933 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 12:44:38,947 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.699
2023-07-21 12:44:38,961 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 12:44:38,974 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.703
2023-07-21 12:44:38,989 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 12:44:39,004 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 12:44:39,018 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.705
2023-07-21 12:44:39,033 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-21 12:44:39,048 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.705
2023-07-21 12:44:39,063 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-21 12:44:39,077 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-21 12:44:39,092 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-21 12:44:39,106 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 12:44:39,121 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.706
2023-07-21 12:44:39,136 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 12:44:39,150 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.947, mIoU: 0.707
2023-07-21 12:44:39,165 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.708
2023-07-21 12:44:39,179 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-21 12:44:39,193 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.946, mIoU: 0.710
2023-07-21 12:44:39,207 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-21 12:44:39,221 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.712
2023-07-21 12:44:39,235 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.712
2023-07-21 12:44:39,249 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.944, mIoU: 0.713
2023-07-21 12:44:39,263 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.714
2023-07-21 12:44:39,277 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.715
2023-07-21 12:44:39,290 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-21 12:44:39,304 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.717
2023-07-21 12:44:39,318 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 12:44:39,331 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 12:44:39,345 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.717
2023-07-21 12:44:39,359 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 12:44:39,372 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 12:44:39,386 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 12:44:39,400 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-21 12:44:39,414 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 12:44:39,429 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 12:44:39,443 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 12:44:39,457 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-21 12:44:39,471 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 12:44:39,486 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 12:44:39,500 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 12:44:39,514 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 12:44:39,528 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 12:44:39,542 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 12:44:39,556 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 12:44:39,570 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 12:44:39,584 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 12:44:39,598 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.935, mIoU: 0.703
2023-07-21 12:44:39,612 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 12:44:39,626 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 12:44:39,640 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 12:44:39,653 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 12:44:39,667 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 12:44:39,681 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 12:44:39,695 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 12:44:39,708 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 12:44:39,722 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 12:44:39,736 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.699
2023-07-21 12:45:14,196 semantic_segmentation INFO: Iters: 48010/50000 || Lr: 0.001099 || Task Loss: 0.0981 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0958|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:25:17 || Estimated Time: 1:57:56
2023-07-21 12:45:49,054 semantic_segmentation INFO: Iters: 48020/50000 || Lr: 0.001094 || Task Loss: 0.1105 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:25:52 || Estimated Time: 1:57:20
2023-07-21 12:46:23,595 semantic_segmentation INFO: Iters: 48030/50000 || Lr: 0.001089 || Task Loss: 0.0989 || KD Loss: 0.0268|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:26:27 || Estimated Time: 1:56:44
2023-07-21 12:46:58,075 semantic_segmentation INFO: Iters: 48040/50000 || Lr: 0.001084 || Task Loss: 0.1125 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0852|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:27:01 || Estimated Time: 1:56:09
2023-07-21 12:47:32,569 semantic_segmentation INFO: Iters: 48050/50000 || Lr: 0.001079 || Task Loss: 0.0970 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0953|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:27:36 || Estimated Time: 1:55:33
2023-07-21 12:48:07,031 semantic_segmentation INFO: Iters: 48060/50000 || Lr: 0.001074 || Task Loss: 0.1054 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:28:10 || Estimated Time: 1:54:58
2023-07-21 12:48:41,461 semantic_segmentation INFO: Iters: 48070/50000 || Lr: 0.001069 || Task Loss: 0.1113 || KD Loss: 0.0249|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:28:45 || Estimated Time: 1:54:22
2023-07-21 12:49:15,905 semantic_segmentation INFO: Iters: 48080/50000 || Lr: 0.001064 || Task Loss: 0.1069 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:29:19 || Estimated Time: 1:53:46
2023-07-21 12:49:50,197 semantic_segmentation INFO: Iters: 48090/50000 || Lr: 0.001059 || Task Loss: 0.0855 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:29:53 || Estimated Time: 1:53:11
2023-07-21 12:50:24,486 semantic_segmentation INFO: Iters: 48100/50000 || Lr: 0.001054 || Task Loss: 0.1002 || KD Loss: 0.0228|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:30:28 || Estimated Time: 1:52:35
2023-07-21 12:50:58,646 semantic_segmentation INFO: Iters: 48110/50000 || Lr: 0.001049 || Task Loss: 0.1031 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1076|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:31:02 || Estimated Time: 1:52:00
2023-07-21 12:51:32,881 semantic_segmentation INFO: Iters: 48120/50000 || Lr: 0.001044 || Task Loss: 0.1153 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:31:36 || Estimated Time: 1:51:24
2023-07-21 12:52:07,089 semantic_segmentation INFO: Iters: 48130/50000 || Lr: 0.001039 || Task Loss: 0.1125 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0767|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:32:10 || Estimated Time: 1:50:48
2023-07-21 12:52:41,283 semantic_segmentation INFO: Iters: 48140/50000 || Lr: 0.001034 || Task Loss: 0.0841 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:32:44 || Estimated Time: 1:50:13
2023-07-21 12:53:15,564 semantic_segmentation INFO: Iters: 48150/50000 || Lr: 0.001029 || Task Loss: 0.0874 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1082|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:33:19 || Estimated Time: 1:49:37
2023-07-21 12:53:49,657 semantic_segmentation INFO: Iters: 48160/50000 || Lr: 0.001024 || Task Loss: 0.1072 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0950|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:33:53 || Estimated Time: 1:49:02
2023-07-21 12:54:23,835 semantic_segmentation INFO: Iters: 48170/50000 || Lr: 0.001019 || Task Loss: 0.1113 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0847|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:34:27 || Estimated Time: 1:48:26
2023-07-21 12:54:58,103 semantic_segmentation INFO: Iters: 48180/50000 || Lr: 0.001014 || Task Loss: 0.1011 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:35:01 || Estimated Time: 1:47:50
2023-07-21 12:55:32,356 semantic_segmentation INFO: Iters: 48190/50000 || Lr: 0.001009 || Task Loss: 0.1028 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:35:35 || Estimated Time: 1:47:15
2023-07-21 12:56:06,559 semantic_segmentation INFO: Iters: 48200/50000 || Lr: 0.001004 || Task Loss: 0.1015 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:36:10 || Estimated Time: 1:46:39
2023-07-21 12:56:40,816 semantic_segmentation INFO: Iters: 48210/50000 || Lr: 0.000999 || Task Loss: 0.1055 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0855|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:36:44 || Estimated Time: 1:46:04
2023-07-21 12:57:15,048 semantic_segmentation INFO: Iters: 48220/50000 || Lr: 0.000994 || Task Loss: 0.1004 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:37:18 || Estimated Time: 1:45:28
2023-07-21 12:57:49,298 semantic_segmentation INFO: Iters: 48230/50000 || Lr: 0.000989 || Task Loss: 0.0885 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1123|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:37:52 || Estimated Time: 1:44:52
2023-07-21 12:58:23,667 semantic_segmentation INFO: Iters: 48240/50000 || Lr: 0.000984 || Task Loss: 0.1107 || KD Loss: 0.0299|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:38:27 || Estimated Time: 1:44:17
2023-07-21 12:58:57,875 semantic_segmentation INFO: Iters: 48250/50000 || Lr: 0.000979 || Task Loss: 0.1168 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0951|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:39:01 || Estimated Time: 1:43:41
2023-07-21 12:59:32,132 semantic_segmentation INFO: Iters: 48260/50000 || Lr: 0.000974 || Task Loss: 0.0922 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:39:35 || Estimated Time: 1:43:06
2023-07-21 13:00:06,397 semantic_segmentation INFO: Iters: 48270/50000 || Lr: 0.000969 || Task Loss: 0.1046 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0842|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:40:09 || Estimated Time: 1:42:30
2023-07-21 13:00:40,935 semantic_segmentation INFO: Iters: 48280/50000 || Lr: 0.000964 || Task Loss: 0.1091 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:40:44 || Estimated Time: 1:41:54
2023-07-21 13:01:15,131 semantic_segmentation INFO: Iters: 48290/50000 || Lr: 0.000959 || Task Loss: 0.1116 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1076|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:41:18 || Estimated Time: 1:41:19
2023-07-21 13:01:49,145 semantic_segmentation INFO: Iters: 48300/50000 || Lr: 0.000954 || Task Loss: 0.1100 || KD Loss: 0.0345|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1055|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:41:52 || Estimated Time: 1:40:43
2023-07-21 13:02:23,440 semantic_segmentation INFO: Iters: 48310/50000 || Lr: 0.000949 || Task Loss: 0.1179 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0888|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:42:27 || Estimated Time: 1:40:08
2023-07-21 13:02:57,721 semantic_segmentation INFO: Iters: 48320/50000 || Lr: 0.000944 || Task Loss: 0.0942 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:43:01 || Estimated Time: 1:39:32
2023-07-21 13:03:31,922 semantic_segmentation INFO: Iters: 48330/50000 || Lr: 0.000939 || Task Loss: 0.0971 || KD Loss: 0.0308|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1040|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:43:35 || Estimated Time: 1:38:56
2023-07-21 13:04:06,174 semantic_segmentation INFO: Iters: 48340/50000 || Lr: 0.000934 || Task Loss: 0.1125 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0862|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:44:09 || Estimated Time: 1:38:21
2023-07-21 13:04:40,860 semantic_segmentation INFO: Iters: 48350/50000 || Lr: 0.000929 || Task Loss: 0.1080 || KD Loss: 0.0315|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1045|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:44:44 || Estimated Time: 1:37:45
2023-07-21 13:05:15,160 semantic_segmentation INFO: Iters: 48360/50000 || Lr: 0.000924 || Task Loss: 0.0973 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:45:18 || Estimated Time: 1:37:10
2023-07-21 13:05:50,153 semantic_segmentation INFO: Iters: 48370/50000 || Lr: 0.000919 || Task Loss: 0.1170 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:45:53 || Estimated Time: 1:36:34
2023-07-21 13:06:24,805 semantic_segmentation INFO: Iters: 48380/50000 || Lr: 0.000914 || Task Loss: 0.0947 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0999|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:46:28 || Estimated Time: 1:35:58
2023-07-21 13:06:59,207 semantic_segmentation INFO: Iters: 48390/50000 || Lr: 0.000909 || Task Loss: 0.1126 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0796|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:47:02 || Estimated Time: 1:35:23
2023-07-21 13:07:34,010 semantic_segmentation INFO: Iters: 48400/50000 || Lr: 0.000903 || Task Loss: 0.0892 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1093|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:47:37 || Estimated Time: 1:34:47
2023-07-21 13:08:08,422 semantic_segmentation INFO: Iters: 48410/50000 || Lr: 0.000898 || Task Loss: 0.0915 || KD Loss: 0.0229|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0904|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:48:12 || Estimated Time: 1:34:12
2023-07-21 13:08:43,001 semantic_segmentation INFO: Iters: 48420/50000 || Lr: 0.000893 || Task Loss: 0.1021 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0964|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:48:46 || Estimated Time: 1:33:36
2023-07-21 13:09:17,440 semantic_segmentation INFO: Iters: 48430/50000 || Lr: 0.000888 || Task Loss: 0.0959 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:49:21 || Estimated Time: 1:33:01
2023-07-21 13:09:51,687 semantic_segmentation INFO: Iters: 48440/50000 || Lr: 0.000883 || Task Loss: 0.1173 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0909|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:49:55 || Estimated Time: 1:32:25
2023-07-21 13:10:26,036 semantic_segmentation INFO: Iters: 48450/50000 || Lr: 0.000878 || Task Loss: 0.0851 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:50:29 || Estimated Time: 1:31:49
2023-07-21 13:11:00,178 semantic_segmentation INFO: Iters: 48460/50000 || Lr: 0.000873 || Task Loss: 0.1078 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1034|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:51:03 || Estimated Time: 1:31:14
2023-07-21 13:11:34,456 semantic_segmentation INFO: Iters: 48470/50000 || Lr: 0.000868 || Task Loss: 0.0898 || KD Loss: 0.0298|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1118|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:51:38 || Estimated Time: 1:30:38
2023-07-21 13:12:08,728 semantic_segmentation INFO: Iters: 48480/50000 || Lr: 0.000863 || Task Loss: 0.0938 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1007|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:52:12 || Estimated Time: 1:30:03
2023-07-21 13:12:43,091 semantic_segmentation INFO: Iters: 48490/50000 || Lr: 0.000858 || Task Loss: 0.1050 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0914|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:52:46 || Estimated Time: 1:29:27
2023-07-21 13:13:17,369 semantic_segmentation INFO: Iters: 48500/50000 || Lr: 0.000853 || Task Loss: 0.0788 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:53:20 || Estimated Time: 1:28:51
2023-07-21 13:13:51,655 semantic_segmentation INFO: Iters: 48510/50000 || Lr: 0.000847 || Task Loss: 0.1091 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0793|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:53:55 || Estimated Time: 1:28:16
2023-07-21 13:14:25,889 semantic_segmentation INFO: Iters: 48520/50000 || Lr: 0.000842 || Task Loss: 0.1090 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0853|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:54:29 || Estimated Time: 1:27:40
2023-07-21 13:15:00,079 semantic_segmentation INFO: Iters: 48530/50000 || Lr: 0.000837 || Task Loss: 0.1055 || KD Loss: 0.0284|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:55:03 || Estimated Time: 1:27:05
2023-07-21 13:15:34,285 semantic_segmentation INFO: Iters: 48540/50000 || Lr: 0.000832 || Task Loss: 0.1095 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0824|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:55:37 || Estimated Time: 1:26:29
2023-07-21 13:16:08,879 semantic_segmentation INFO: Iters: 48550/50000 || Lr: 0.000827 || Task Loss: 0.1003 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:56:12 || Estimated Time: 1:25:54
2023-07-21 13:16:43,104 semantic_segmentation INFO: Iters: 48560/50000 || Lr: 0.000822 || Task Loss: 0.0939 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1060|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:56:46 || Estimated Time: 1:25:18
2023-07-21 13:17:17,475 semantic_segmentation INFO: Iters: 48570/50000 || Lr: 0.000817 || Task Loss: 0.0892 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:57:21 || Estimated Time: 1:24:42
2023-07-21 13:17:51,793 semantic_segmentation INFO: Iters: 48580/50000 || Lr: 0.000812 || Task Loss: 0.0939 || KD Loss: 0.0285|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1029|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:57:55 || Estimated Time: 1:24:07
2023-07-21 13:18:26,006 semantic_segmentation INFO: Iters: 48590/50000 || Lr: 0.000806 || Task Loss: 0.1095 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0955|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:58:29 || Estimated Time: 1:23:31
2023-07-21 13:19:00,368 semantic_segmentation INFO: Iters: 48600/50000 || Lr: 0.000801 || Task Loss: 0.0991 || KD Loss: 0.0240|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0867|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:59:03 || Estimated Time: 1:22:56
2023-07-21 13:19:34,650 semantic_segmentation INFO: Iters: 48610/50000 || Lr: 0.000796 || Task Loss: 0.1048 || KD Loss: 0.0249|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0908|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 23:59:38 || Estimated Time: 1:22:20
2023-07-21 13:20:09,033 semantic_segmentation INFO: Iters: 48620/50000 || Lr: 0.000791 || Task Loss: 0.0930 || KD Loss: 0.0231|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:00:12 || Estimated Time: 1:21:44
2023-07-21 13:20:43,344 semantic_segmentation INFO: Iters: 48630/50000 || Lr: 0.000786 || Task Loss: 0.1063 || KD Loss: 0.0272|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:00:46 || Estimated Time: 1:21:09
2023-07-21 13:21:17,945 semantic_segmentation INFO: Iters: 48640/50000 || Lr: 0.000781 || Task Loss: 0.1054 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:01:21 || Estimated Time: 1:20:33
2023-07-21 13:21:52,340 semantic_segmentation INFO: Iters: 48650/50000 || Lr: 0.000775 || Task Loss: 0.0982 || KD Loss: 0.0321|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1137|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:01:55 || Estimated Time: 1:19:58
2023-07-21 13:22:26,742 semantic_segmentation INFO: Iters: 48660/50000 || Lr: 0.000770 || Task Loss: 0.0943 || KD Loss: 0.0233|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0833|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:02:30 || Estimated Time: 1:19:22
2023-07-21 13:23:01,261 semantic_segmentation INFO: Iters: 48670/50000 || Lr: 0.000765 || Task Loss: 0.0906 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:03:04 || Estimated Time: 1:18:47
2023-07-21 13:23:35,758 semantic_segmentation INFO: Iters: 48680/50000 || Lr: 0.000760 || Task Loss: 0.1073 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:03:39 || Estimated Time: 1:18:11
2023-07-21 13:24:10,165 semantic_segmentation INFO: Iters: 48690/50000 || Lr: 0.000755 || Task Loss: 0.0887 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0936|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:04:13 || Estimated Time: 1:17:35
2023-07-21 13:24:44,568 semantic_segmentation INFO: Iters: 48700/50000 || Lr: 0.000750 || Task Loss: 0.1001 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0973|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:04:48 || Estimated Time: 1:17:00
2023-07-21 13:25:18,981 semantic_segmentation INFO: Iters: 48710/50000 || Lr: 0.000744 || Task Loss: 0.1163 || KD Loss: 0.0314|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1024|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:05:22 || Estimated Time: 1:16:24
2023-07-21 13:25:53,316 semantic_segmentation INFO: Iters: 48720/50000 || Lr: 0.000739 || Task Loss: 0.1311 || KD Loss: 0.0306|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0817|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:05:56 || Estimated Time: 1:15:49
2023-07-21 13:26:27,691 semantic_segmentation INFO: Iters: 48730/50000 || Lr: 0.000734 || Task Loss: 0.1059 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0944|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:06:31 || Estimated Time: 1:15:13
2023-07-21 13:27:02,041 semantic_segmentation INFO: Iters: 48740/50000 || Lr: 0.000729 || Task Loss: 0.0975 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:07:05 || Estimated Time: 1:14:38
2023-07-21 13:27:36,344 semantic_segmentation INFO: Iters: 48750/50000 || Lr: 0.000724 || Task Loss: 0.0958 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0861|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:07:39 || Estimated Time: 1:14:02
2023-07-21 13:28:10,756 semantic_segmentation INFO: Iters: 48760/50000 || Lr: 0.000718 || Task Loss: 0.1054 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:08:14 || Estimated Time: 1:13:26
2023-07-21 13:28:45,220 semantic_segmentation INFO: Iters: 48770/50000 || Lr: 0.000713 || Task Loss: 0.0901 || KD Loss: 0.0301|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:08:48 || Estimated Time: 1:12:51
2023-07-21 13:29:19,402 semantic_segmentation INFO: Iters: 48780/50000 || Lr: 0.000708 || Task Loss: 0.0975 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:09:23 || Estimated Time: 1:12:15
2023-07-21 13:29:53,758 semantic_segmentation INFO: Iters: 48790/50000 || Lr: 0.000703 || Task Loss: 0.0931 || KD Loss: 0.0348|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1143|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:09:57 || Estimated Time: 1:11:40
2023-07-21 13:30:28,066 semantic_segmentation INFO: Iters: 48800/50000 || Lr: 0.000698 || Task Loss: 0.1103 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:10:31 || Estimated Time: 1:11:04
2023-07-21 13:30:28,132 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 13:30:28,493 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-21 13:30:28,520 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.713
2023-07-21 13:30:28,533 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.709
2023-07-21 13:30:28,545 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.705
2023-07-21 13:30:28,558 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 13:30:28,571 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.701
2023-07-21 13:30:28,584 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.701
2023-07-21 13:30:28,596 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 13:30:28,609 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 13:30:28,622 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 13:30:28,635 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 13:30:28,647 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.701
2023-07-21 13:30:28,660 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 13:30:28,674 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 13:30:28,687 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.702
2023-07-21 13:30:28,700 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-21 13:30:28,714 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-21 13:30:28,727 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-21 13:30:28,740 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-21 13:30:28,754 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 13:30:28,767 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 13:30:28,780 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-21 13:30:28,793 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-21 13:30:28,806 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 13:30:28,820 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 13:30:28,833 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 13:30:28,846 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 13:30:28,860 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 13:30:28,874 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 13:30:28,888 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 13:30:28,902 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 13:30:28,916 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 13:30:28,930 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-21 13:30:28,944 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-21 13:30:28,958 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-21 13:30:28,972 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.692
2023-07-21 13:30:28,987 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.692
2023-07-21 13:30:29,001 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.693
2023-07-21 13:30:29,015 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-21 13:30:29,029 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 13:30:29,043 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.696
2023-07-21 13:30:29,057 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 13:30:29,071 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.699
2023-07-21 13:30:29,085 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.700
2023-07-21 13:30:29,099 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.701
2023-07-21 13:30:29,113 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 13:30:29,127 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 13:30:29,141 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 13:30:29,156 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-21 13:30:29,169 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-21 13:30:29,183 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-21 13:30:29,197 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 13:30:29,211 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 13:30:29,225 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 13:30:29,238 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 13:30:29,252 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.949, mIoU: 0.707
2023-07-21 13:30:29,266 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 13:30:29,280 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 13:30:29,294 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.708
2023-07-21 13:30:29,308 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.709
2023-07-21 13:30:29,322 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-21 13:30:29,337 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-21 13:30:29,351 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.711
2023-07-21 13:30:29,365 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.712
2023-07-21 13:30:29,379 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.713
2023-07-21 13:30:29,394 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.713
2023-07-21 13:30:29,408 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.714
2023-07-21 13:30:29,422 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.715
2023-07-21 13:30:29,436 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.716
2023-07-21 13:30:29,450 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.717
2023-07-21 13:30:29,465 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 13:30:29,479 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.717
2023-07-21 13:30:29,493 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.717
2023-07-21 13:30:29,506 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 13:30:29,520 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 13:30:29,534 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 13:30:29,548 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.940, mIoU: 0.714
2023-07-21 13:30:29,562 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 13:30:29,576 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.939, mIoU: 0.713
2023-07-21 13:30:29,590 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 13:30:29,603 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.938, mIoU: 0.711
2023-07-21 13:30:29,617 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.711
2023-07-21 13:30:29,630 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.709
2023-07-21 13:30:29,644 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 13:30:29,657 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 13:30:29,671 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 13:30:29,684 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 13:30:29,698 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 13:30:29,712 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 13:30:29,726 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.935, mIoU: 0.704
2023-07-21 13:30:29,740 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 13:30:29,754 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 13:30:29,768 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.703
2023-07-21 13:30:29,781 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 13:30:29,795 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 13:30:29,809 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 13:30:29,823 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 13:30:29,837 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.703
2023-07-21 13:30:29,850 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 13:30:29,864 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 13:30:29,878 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 13:31:04,415 semantic_segmentation INFO: Iters: 48810/50000 || Lr: 0.000692 || Task Loss: 0.0931 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:11:08 || Estimated Time: 1:10:29
2023-07-21 13:31:38,701 semantic_segmentation INFO: Iters: 48820/50000 || Lr: 0.000687 || Task Loss: 0.0954 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1114|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:11:42 || Estimated Time: 1:09:53
2023-07-21 13:32:13,398 semantic_segmentation INFO: Iters: 48830/50000 || Lr: 0.000682 || Task Loss: 0.1020 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0975|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:12:16 || Estimated Time: 1:09:18
2023-07-21 13:32:47,555 semantic_segmentation INFO: Iters: 48840/50000 || Lr: 0.000677 || Task Loss: 0.1069 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0804|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:12:51 || Estimated Time: 1:08:42
2023-07-21 13:33:21,806 semantic_segmentation INFO: Iters: 48850/50000 || Lr: 0.000671 || Task Loss: 0.0980 || KD Loss: 0.0304|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1063|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:13:25 || Estimated Time: 1:08:06
2023-07-21 13:33:56,174 semantic_segmentation INFO: Iters: 48860/50000 || Lr: 0.000666 || Task Loss: 0.0978 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:13:59 || Estimated Time: 1:07:31
2023-07-21 13:34:30,604 semantic_segmentation INFO: Iters: 48870/50000 || Lr: 0.000661 || Task Loss: 0.0819 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:14:34 || Estimated Time: 1:06:55
2023-07-21 13:35:04,741 semantic_segmentation INFO: Iters: 48880/50000 || Lr: 0.000656 || Task Loss: 0.1015 || KD Loss: 0.0275|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:15:08 || Estimated Time: 1:06:20
2023-07-21 13:35:39,209 semantic_segmentation INFO: Iters: 48890/50000 || Lr: 0.000650 || Task Loss: 0.0985 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1037|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:15:42 || Estimated Time: 1:05:44
2023-07-21 13:36:13,411 semantic_segmentation INFO: Iters: 48900/50000 || Lr: 0.000645 || Task Loss: 0.1184 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0764|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:16:17 || Estimated Time: 1:05:09
2023-07-21 13:36:47,788 semantic_segmentation INFO: Iters: 48910/50000 || Lr: 0.000640 || Task Loss: 0.1117 || KD Loss: 0.0330|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1109|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:16:51 || Estimated Time: 1:04:33
2023-07-21 13:37:22,262 semantic_segmentation INFO: Iters: 48920/50000 || Lr: 0.000634 || Task Loss: 0.1019 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:17:25 || Estimated Time: 1:03:57
2023-07-21 13:37:56,403 semantic_segmentation INFO: Iters: 48930/50000 || Lr: 0.000629 || Task Loss: 0.1412 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0738|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:18:00 || Estimated Time: 1:03:22
2023-07-21 13:38:30,776 semantic_segmentation INFO: Iters: 48940/50000 || Lr: 0.000624 || Task Loss: 0.1049 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:18:34 || Estimated Time: 1:02:46
2023-07-21 13:39:05,004 semantic_segmentation INFO: Iters: 48950/50000 || Lr: 0.000619 || Task Loss: 0.1135 || KD Loss: 0.0278|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0913|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:19:08 || Estimated Time: 1:02:11
2023-07-21 13:39:39,136 semantic_segmentation INFO: Iters: 48960/50000 || Lr: 0.000613 || Task Loss: 0.1032 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:19:42 || Estimated Time: 1:01:35
2023-07-21 13:40:13,397 semantic_segmentation INFO: Iters: 48970/50000 || Lr: 0.000608 || Task Loss: 0.1080 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0871|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:20:16 || Estimated Time: 1:01:00
2023-07-21 13:40:47,858 semantic_segmentation INFO: Iters: 48980/50000 || Lr: 0.000603 || Task Loss: 0.0923 || KD Loss: 0.0274|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0988|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:20:51 || Estimated Time: 1:00:24
2023-07-21 13:41:22,590 semantic_segmentation INFO: Iters: 48990/50000 || Lr: 0.000597 || Task Loss: 0.1151 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0966|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:21:26 || Estimated Time: 0:59:49
2023-07-21 13:41:57,041 semantic_segmentation INFO: Iters: 49000/50000 || Lr: 0.000592 || Task Loss: 0.0927 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0927|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:22:00 || Estimated Time: 0:59:13
2023-07-21 13:42:31,410 semantic_segmentation INFO: Iters: 49010/50000 || Lr: 0.000587 || Task Loss: 0.0830 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1036|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:22:35 || Estimated Time: 0:58:37
2023-07-21 13:43:05,679 semantic_segmentation INFO: Iters: 49020/50000 || Lr: 0.000581 || Task Loss: 0.0910 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0935|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:23:09 || Estimated Time: 0:58:02
2023-07-21 13:43:40,096 semantic_segmentation INFO: Iters: 49030/50000 || Lr: 0.000576 || Task Loss: 0.1093 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0819|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:23:43 || Estimated Time: 0:57:26
2023-07-21 13:44:14,313 semantic_segmentation INFO: Iters: 49040/50000 || Lr: 0.000571 || Task Loss: 0.0872 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:24:17 || Estimated Time: 0:56:51
2023-07-21 13:44:48,592 semantic_segmentation INFO: Iters: 49050/50000 || Lr: 0.000565 || Task Loss: 0.0929 || KD Loss: 0.0294|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:24:52 || Estimated Time: 0:56:15
2023-07-21 13:45:22,837 semantic_segmentation INFO: Iters: 49060/50000 || Lr: 0.000560 || Task Loss: 0.0990 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:25:26 || Estimated Time: 0:55:40
2023-07-21 13:45:57,193 semantic_segmentation INFO: Iters: 49070/50000 || Lr: 0.000555 || Task Loss: 0.0886 || KD Loss: 0.0239|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:26:00 || Estimated Time: 0:55:04
2023-07-21 13:46:31,429 semantic_segmentation INFO: Iters: 49080/50000 || Lr: 0.000549 || Task Loss: 0.0957 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:26:35 || Estimated Time: 0:54:28
2023-07-21 13:47:05,611 semantic_segmentation INFO: Iters: 49090/50000 || Lr: 0.000544 || Task Loss: 0.1110 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0828|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:27:09 || Estimated Time: 0:53:53
2023-07-21 13:47:40,058 semantic_segmentation INFO: Iters: 49100/50000 || Lr: 0.000539 || Task Loss: 0.0905 || KD Loss: 0.0236|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:27:43 || Estimated Time: 0:53:17
2023-07-21 13:48:14,286 semantic_segmentation INFO: Iters: 49110/50000 || Lr: 0.000533 || Task Loss: 0.0899 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1067|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:28:17 || Estimated Time: 0:52:42
2023-07-21 13:48:48,627 semantic_segmentation INFO: Iters: 49120/50000 || Lr: 0.000528 || Task Loss: 0.1271 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0910|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:28:52 || Estimated Time: 0:52:06
2023-07-21 13:49:23,020 semantic_segmentation INFO: Iters: 49130/50000 || Lr: 0.000522 || Task Loss: 0.0995 || KD Loss: 0.0242|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0775|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:29:26 || Estimated Time: 0:51:31
2023-07-21 13:49:57,299 semantic_segmentation INFO: Iters: 49140/50000 || Lr: 0.000517 || Task Loss: 0.1191 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:30:00 || Estimated Time: 0:50:55
2023-07-21 13:50:31,658 semantic_segmentation INFO: Iters: 49150/50000 || Lr: 0.000512 || Task Loss: 0.1021 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:30:35 || Estimated Time: 0:50:20
2023-07-21 13:51:05,953 semantic_segmentation INFO: Iters: 49160/50000 || Lr: 0.000506 || Task Loss: 0.1148 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:31:09 || Estimated Time: 0:49:44
2023-07-21 13:51:40,327 semantic_segmentation INFO: Iters: 49170/50000 || Lr: 0.000501 || Task Loss: 0.0995 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0946|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:31:43 || Estimated Time: 0:49:09
2023-07-21 13:52:14,660 semantic_segmentation INFO: Iters: 49180/50000 || Lr: 0.000495 || Task Loss: 0.1019 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:32:18 || Estimated Time: 0:48:33
2023-07-21 13:52:48,925 semantic_segmentation INFO: Iters: 49190/50000 || Lr: 0.000490 || Task Loss: 0.1141 || KD Loss: 0.0307|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0989|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:32:52 || Estimated Time: 0:47:57
2023-07-21 13:53:23,281 semantic_segmentation INFO: Iters: 49200/50000 || Lr: 0.000484 || Task Loss: 0.1160 || KD Loss: 0.0241|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0901|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:33:26 || Estimated Time: 0:47:22
2023-07-21 13:53:57,676 semantic_segmentation INFO: Iters: 49210/50000 || Lr: 0.000479 || Task Loss: 0.1019 || KD Loss: 0.0230|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0855|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:34:01 || Estimated Time: 0:46:46
2023-07-21 13:54:32,097 semantic_segmentation INFO: Iters: 49220/50000 || Lr: 0.000474 || Task Loss: 0.1114 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:34:35 || Estimated Time: 0:46:11
2023-07-21 13:55:06,263 semantic_segmentation INFO: Iters: 49230/50000 || Lr: 0.000468 || Task Loss: 0.0837 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0992|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:35:09 || Estimated Time: 0:45:35
2023-07-21 13:55:40,559 semantic_segmentation INFO: Iters: 49240/50000 || Lr: 0.000463 || Task Loss: 0.1016 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0990|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:35:44 || Estimated Time: 0:45:00
2023-07-21 13:56:14,683 semantic_segmentation INFO: Iters: 49250/50000 || Lr: 0.000457 || Task Loss: 0.1036 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:36:18 || Estimated Time: 0:44:24
2023-07-21 13:56:49,117 semantic_segmentation INFO: Iters: 49260/50000 || Lr: 0.000452 || Task Loss: 0.0850 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:36:52 || Estimated Time: 0:43:49
2023-07-21 13:57:23,512 semantic_segmentation INFO: Iters: 49270/50000 || Lr: 0.000446 || Task Loss: 0.1037 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0974|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:37:27 || Estimated Time: 0:43:13
2023-07-21 13:57:58,152 semantic_segmentation INFO: Iters: 49280/50000 || Lr: 0.000441 || Task Loss: 0.0982 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0982|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:38:01 || Estimated Time: 0:42:37
2023-07-21 13:58:32,579 semantic_segmentation INFO: Iters: 49290/50000 || Lr: 0.000435 || Task Loss: 0.1202 || KD Loss: 0.0326|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0969|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:38:36 || Estimated Time: 0:42:02
2023-07-21 13:59:06,990 semantic_segmentation INFO: Iters: 49300/50000 || Lr: 0.000430 || Task Loss: 0.1169 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0885|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:39:10 || Estimated Time: 0:41:26
2023-07-21 13:59:41,305 semantic_segmentation INFO: Iters: 49310/50000 || Lr: 0.000424 || Task Loss: 0.0974 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0933|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:39:44 || Estimated Time: 0:40:51
2023-07-21 14:00:15,512 semantic_segmentation INFO: Iters: 49320/50000 || Lr: 0.000419 || Task Loss: 0.1212 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0812|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:40:19 || Estimated Time: 0:40:15
2023-07-21 14:00:49,846 semantic_segmentation INFO: Iters: 49330/50000 || Lr: 0.000413 || Task Loss: 0.1055 || KD Loss: 0.0237|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0911|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:40:53 || Estimated Time: 0:39:40
2023-07-21 14:01:24,103 semantic_segmentation INFO: Iters: 49340/50000 || Lr: 0.000408 || Task Loss: 0.1073 || KD Loss: 0.0295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1001|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:41:27 || Estimated Time: 0:39:04
2023-07-21 14:01:58,421 semantic_segmentation INFO: Iters: 49350/50000 || Lr: 0.000402 || Task Loss: 0.1150 || KD Loss: 0.0258|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0826|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:42:02 || Estimated Time: 0:38:29
2023-07-21 14:02:32,640 semantic_segmentation INFO: Iters: 49360/50000 || Lr: 0.000396 || Task Loss: 0.1137 || KD Loss: 0.0279|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0995|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:42:36 || Estimated Time: 0:37:53
2023-07-21 14:03:07,024 semantic_segmentation INFO: Iters: 49370/50000 || Lr: 0.000391 || Task Loss: 0.0998 || KD Loss: 0.0336|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1116|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:43:10 || Estimated Time: 0:37:18
2023-07-21 14:03:41,248 semantic_segmentation INFO: Iters: 49380/50000 || Lr: 0.000385 || Task Loss: 0.1018 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0985|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:43:44 || Estimated Time: 0:36:42
2023-07-21 14:04:15,384 semantic_segmentation INFO: Iters: 49390/50000 || Lr: 0.000380 || Task Loss: 0.1068 || KD Loss: 0.0261|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0954|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:44:18 || Estimated Time: 0:36:07
2023-07-21 14:04:49,556 semantic_segmentation INFO: Iters: 49400/50000 || Lr: 0.000374 || Task Loss: 0.1008 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0903|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:44:53 || Estimated Time: 0:35:31
2023-07-21 14:05:23,796 semantic_segmentation INFO: Iters: 49410/50000 || Lr: 0.000368 || Task Loss: 0.1226 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0928|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:45:27 || Estimated Time: 0:34:55
2023-07-21 14:05:58,222 semantic_segmentation INFO: Iters: 49420/50000 || Lr: 0.000363 || Task Loss: 0.0965 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0978|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:46:01 || Estimated Time: 0:34:20
2023-07-21 14:06:32,473 semantic_segmentation INFO: Iters: 49430/50000 || Lr: 0.000357 || Task Loss: 0.1246 || KD Loss: 0.0297|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0918|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:46:36 || Estimated Time: 0:33:44
2023-07-21 14:07:06,676 semantic_segmentation INFO: Iters: 49440/50000 || Lr: 0.000352 || Task Loss: 0.1047 || KD Loss: 0.0262|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0889|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:47:10 || Estimated Time: 0:33:09
2023-07-21 14:07:40,834 semantic_segmentation INFO: Iters: 49450/50000 || Lr: 0.000346 || Task Loss: 0.1069 || KD Loss: 0.0292|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1019|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:47:44 || Estimated Time: 0:32:33
2023-07-21 14:08:15,189 semantic_segmentation INFO: Iters: 49460/50000 || Lr: 0.000340 || Task Loss: 0.0998 || KD Loss: 0.0318|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:48:18 || Estimated Time: 0:31:58
2023-07-21 14:08:49,397 semantic_segmentation INFO: Iters: 49470/50000 || Lr: 0.000335 || Task Loss: 0.1062 || KD Loss: 0.0288|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:48:52 || Estimated Time: 0:31:22
2023-07-21 14:09:23,631 semantic_segmentation INFO: Iters: 49480/50000 || Lr: 0.000329 || Task Loss: 0.1167 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0882|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:49:27 || Estimated Time: 0:30:47
2023-07-21 14:09:57,868 semantic_segmentation INFO: Iters: 49490/50000 || Lr: 0.000323 || Task Loss: 0.0829 || KD Loss: 0.0230|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:50:01 || Estimated Time: 0:30:11
2023-07-21 14:10:32,058 semantic_segmentation INFO: Iters: 49500/50000 || Lr: 0.000318 || Task Loss: 0.1092 || KD Loss: 0.0328|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1050|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:50:35 || Estimated Time: 0:29:36
2023-07-21 14:11:06,413 semantic_segmentation INFO: Iters: 49510/50000 || Lr: 0.000312 || Task Loss: 0.0889 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0957|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:51:10 || Estimated Time: 0:29:00
2023-07-21 14:11:40,621 semantic_segmentation INFO: Iters: 49520/50000 || Lr: 0.000306 || Task Loss: 0.1028 || KD Loss: 0.0267|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0971|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:51:44 || Estimated Time: 0:28:25
2023-07-21 14:12:14,854 semantic_segmentation INFO: Iters: 49530/50000 || Lr: 0.000300 || Task Loss: 0.0969 || KD Loss: 0.0248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0987|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:52:18 || Estimated Time: 0:27:49
2023-07-21 14:12:49,192 semantic_segmentation INFO: Iters: 49540/50000 || Lr: 0.000295 || Task Loss: 0.1320 || KD Loss: 0.0340|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0945|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:52:52 || Estimated Time: 0:27:13
2023-07-21 14:13:23,371 semantic_segmentation INFO: Iters: 49550/50000 || Lr: 0.000289 || Task Loss: 0.0872 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:53:26 || Estimated Time: 0:26:38
2023-07-21 14:13:57,564 semantic_segmentation INFO: Iters: 49560/50000 || Lr: 0.000283 || Task Loss: 0.1150 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0872|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:54:01 || Estimated Time: 0:26:02
2023-07-21 14:14:31,858 semantic_segmentation INFO: Iters: 49570/50000 || Lr: 0.000277 || Task Loss: 0.1071 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0949|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:54:35 || Estimated Time: 0:25:27
2023-07-21 14:15:06,084 semantic_segmentation INFO: Iters: 49580/50000 || Lr: 0.000272 || Task Loss: 0.0878 || KD Loss: 0.0232|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0917|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:55:09 || Estimated Time: 0:24:51
2023-07-21 14:15:40,357 semantic_segmentation INFO: Iters: 49590/50000 || Lr: 0.000266 || Task Loss: 0.0971 || KD Loss: 0.0238|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0943|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:55:43 || Estimated Time: 0:24:16
2023-07-21 14:16:14,613 semantic_segmentation INFO: Iters: 49600/50000 || Lr: 0.000260 || Task Loss: 0.1075 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0979|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:56:18 || Estimated Time: 0:23:40
2023-07-21 14:16:14,712 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-21 14:16:15,078 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.706
2023-07-21 14:16:15,120 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.712
2023-07-21 14:16:15,134 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.709
2023-07-21 14:16:15,147 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.704
2023-07-21 14:16:15,160 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 14:16:15,173 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 14:16:15,187 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.699
2023-07-21 14:16:15,201 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 14:16:15,215 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.700
2023-07-21 14:16:15,230 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.701
2023-07-21 14:16:15,244 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.702
2023-07-21 14:16:15,258 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-21 14:16:15,273 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.701
2023-07-21 14:16:15,288 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.701
2023-07-21 14:16:15,302 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-21 14:16:15,317 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-21 14:16:15,331 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.698
2023-07-21 14:16:15,345 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-21 14:16:15,359 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-21 14:16:15,374 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 14:16:15,388 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.692
2023-07-21 14:16:15,402 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.690
2023-07-21 14:16:15,416 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.688
2023-07-21 14:16:15,430 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 14:16:15,444 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 14:16:15,459 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 14:16:15,473 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-21 14:16:15,487 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.684
2023-07-21 14:16:15,501 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-21 14:16:15,515 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.686
2023-07-21 14:16:15,529 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.687
2023-07-21 14:16:15,544 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-21 14:16:15,558 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-21 14:16:15,572 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.690
2023-07-21 14:16:15,586 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.692
2023-07-21 14:16:15,600 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-21 14:16:15,615 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-21 14:16:15,629 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.692
2023-07-21 14:16:15,643 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.693
2023-07-21 14:16:15,657 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.694
2023-07-21 14:16:15,671 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-21 14:16:15,685 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.697
2023-07-21 14:16:15,699 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.698
2023-07-21 14:16:15,713 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.700
2023-07-21 14:16:15,727 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.700
2023-07-21 14:16:15,741 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.702
2023-07-21 14:16:15,755 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.704
2023-07-21 14:16:15,768 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.952, mIoU: 0.705
2023-07-21 14:16:15,782 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.706
2023-07-21 14:16:15,796 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-21 14:16:15,810 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.951, mIoU: 0.706
2023-07-21 14:16:15,824 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 14:16:15,839 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.950, mIoU: 0.706
2023-07-21 14:16:15,854 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 14:16:15,868 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-21 14:16:15,883 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 14:16:15,898 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.948, mIoU: 0.707
2023-07-21 14:16:15,912 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.948, mIoU: 0.708
2023-07-21 14:16:15,927 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.948, mIoU: 0.709
2023-07-21 14:16:15,941 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-21 14:16:15,955 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.947, mIoU: 0.710
2023-07-21 14:16:15,970 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.947, mIoU: 0.711
2023-07-21 14:16:15,984 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.946, mIoU: 0.712
2023-07-21 14:16:15,998 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.946, mIoU: 0.713
2023-07-21 14:16:16,012 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.945, mIoU: 0.713
2023-07-21 14:16:16,026 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.945, mIoU: 0.714
2023-07-21 14:16:16,040 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.944, mIoU: 0.715
2023-07-21 14:16:16,054 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.944, mIoU: 0.716
2023-07-21 14:16:16,068 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.943, mIoU: 0.717
2023-07-21 14:16:16,082 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.943, mIoU: 0.718
2023-07-21 14:16:16,095 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.942, mIoU: 0.718
2023-07-21 14:16:16,109 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.942, mIoU: 0.718
2023-07-21 14:16:16,123 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.941, mIoU: 0.718
2023-07-21 14:16:16,137 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.941, mIoU: 0.717
2023-07-21 14:16:16,150 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.941, mIoU: 0.716
2023-07-21 14:16:16,164 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.940, mIoU: 0.716
2023-07-21 14:16:16,177 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.940, mIoU: 0.715
2023-07-21 14:16:16,191 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-21 14:16:16,204 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.939, mIoU: 0.714
2023-07-21 14:16:16,218 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.713
2023-07-21 14:16:16,233 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.938, mIoU: 0.712
2023-07-21 14:16:16,247 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.937, mIoU: 0.712
2023-07-21 14:16:16,262 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.937, mIoU: 0.710
2023-07-21 14:16:16,276 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-21 14:16:16,291 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.936, mIoU: 0.709
2023-07-21 14:16:16,305 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 14:16:16,319 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.936, mIoU: 0.708
2023-07-21 14:16:16,333 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.936, mIoU: 0.707
2023-07-21 14:16:16,347 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.936, mIoU: 0.706
2023-07-21 14:16:16,361 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.936, mIoU: 0.705
2023-07-21 14:16:16,375 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 14:16:16,390 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 14:16:16,404 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 14:16:16,418 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.936, mIoU: 0.704
2023-07-21 14:16:16,432 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 14:16:16,445 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 14:16:16,459 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 14:16:16,473 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.937, mIoU: 0.704
2023-07-21 14:16:16,486 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.937, mIoU: 0.702
2023-07-21 14:16:16,500 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.937, mIoU: 0.701
2023-07-21 14:16:16,513 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.937, mIoU: 0.700
2023-07-21 14:16:51,061 semantic_segmentation INFO: Iters: 49610/50000 || Lr: 0.000254 || Task Loss: 0.0984 || KD Loss: 0.0300|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1039|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:56:54 || Estimated Time: 0:23:05
2023-07-21 14:17:25,281 semantic_segmentation INFO: Iters: 49620/50000 || Lr: 0.000248 || Task Loss: 0.0924 || KD Loss: 0.0241|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0879|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:57:28 || Estimated Time: 0:22:29
2023-07-21 14:17:59,559 semantic_segmentation INFO: Iters: 49630/50000 || Lr: 0.000242 || Task Loss: 0.0917 || KD Loss: 0.0286|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0886|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:58:03 || Estimated Time: 0:21:54
2023-07-21 14:18:33,835 semantic_segmentation INFO: Iters: 49640/50000 || Lr: 0.000236 || Task Loss: 0.1208 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:58:37 || Estimated Time: 0:21:18
2023-07-21 14:19:08,113 semantic_segmentation INFO: Iters: 49650/50000 || Lr: 0.000231 || Task Loss: 0.0928 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0970|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:59:11 || Estimated Time: 0:20:43
2023-07-21 14:19:42,479 semantic_segmentation INFO: Iters: 49660/50000 || Lr: 0.000225 || Task Loss: 0.0951 || KD Loss: 0.0231|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0923|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 0:59:46 || Estimated Time: 0:20:07
2023-07-21 14:20:16,678 semantic_segmentation INFO: Iters: 49670/50000 || Lr: 0.000219 || Task Loss: 0.1001 || KD Loss: 0.0256|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0921|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:00:20 || Estimated Time: 0:19:32
2023-07-21 14:20:50,904 semantic_segmentation INFO: Iters: 49680/50000 || Lr: 0.000213 || Task Loss: 0.1015 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1010|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:00:54 || Estimated Time: 0:18:56
2023-07-21 14:21:25,108 semantic_segmentation INFO: Iters: 49690/50000 || Lr: 0.000207 || Task Loss: 0.1079 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0919|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:01:28 || Estimated Time: 0:18:21
2023-07-21 14:21:59,419 semantic_segmentation INFO: Iters: 49700/50000 || Lr: 0.000201 || Task Loss: 0.1105 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1025|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:02:03 || Estimated Time: 0:17:45
2023-07-21 14:22:33,791 semantic_segmentation INFO: Iters: 49710/50000 || Lr: 0.000195 || Task Loss: 0.1063 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0892|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:02:37 || Estimated Time: 0:17:10
2023-07-21 14:23:07,913 semantic_segmentation INFO: Iters: 49720/50000 || Lr: 0.000189 || Task Loss: 0.0959 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1076|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:03:11 || Estimated Time: 0:16:34
2023-07-21 14:23:42,050 semantic_segmentation INFO: Iters: 49730/50000 || Lr: 0.000183 || Task Loss: 0.1119 || KD Loss: 0.0302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0920|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:03:45 || Estimated Time: 0:15:58
2023-07-21 14:24:16,452 semantic_segmentation INFO: Iters: 49740/50000 || Lr: 0.000177 || Task Loss: 0.1125 || KD Loss: 0.0257|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0827|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:04:20 || Estimated Time: 0:15:23
2023-07-21 14:24:50,734 semantic_segmentation INFO: Iters: 49750/50000 || Lr: 0.000170 || Task Loss: 0.1204 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0816|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:04:54 || Estimated Time: 0:14:47
2023-07-21 14:25:24,920 semantic_segmentation INFO: Iters: 49760/50000 || Lr: 0.000164 || Task Loss: 0.1148 || KD Loss: 0.0270|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0788|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:05:28 || Estimated Time: 0:14:12
2023-07-21 14:25:59,114 semantic_segmentation INFO: Iters: 49770/50000 || Lr: 0.000158 || Task Loss: 0.1136 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0876|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:06:02 || Estimated Time: 0:13:36
2023-07-21 14:26:33,532 semantic_segmentation INFO: Iters: 49780/50000 || Lr: 0.000152 || Task Loss: 0.1266 || KD Loss: 0.0305|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0925|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:06:37 || Estimated Time: 0:13:01
2023-07-21 14:27:07,793 semantic_segmentation INFO: Iters: 49790/50000 || Lr: 0.000146 || Task Loss: 0.0910 || KD Loss: 0.0236|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0858|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:07:11 || Estimated Time: 0:12:25
2023-07-21 14:27:42,051 semantic_segmentation INFO: Iters: 49800/50000 || Lr: 0.000140 || Task Loss: 0.0965 || KD Loss: 0.0237|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0869|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:07:45 || Estimated Time: 0:11:50
2023-07-21 14:28:16,197 semantic_segmentation INFO: Iters: 49810/50000 || Lr: 0.000133 || Task Loss: 0.0925 || KD Loss: 0.0242|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0991|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:08:19 || Estimated Time: 0:11:14
2023-07-21 14:28:50,494 semantic_segmentation INFO: Iters: 49820/50000 || Lr: 0.000127 || Task Loss: 0.0974 || KD Loss: 0.0310|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1032|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:08:54 || Estimated Time: 0:10:39
2023-07-21 14:29:24,679 semantic_segmentation INFO: Iters: 49830/50000 || Lr: 0.000121 || Task Loss: 0.0885 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0986|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:09:28 || Estimated Time: 0:10:03
2023-07-21 14:29:58,873 semantic_segmentation INFO: Iters: 49840/50000 || Lr: 0.000114 || Task Loss: 0.1113 || KD Loss: 0.0246|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:10:02 || Estimated Time: 0:09:28
2023-07-21 14:30:33,113 semantic_segmentation INFO: Iters: 49850/50000 || Lr: 0.000108 || Task Loss: 0.1247 || KD Loss: 0.0316|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0875|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:10:36 || Estimated Time: 0:08:52
2023-07-21 14:31:07,466 semantic_segmentation INFO: Iters: 49860/50000 || Lr: 0.000101 || Task Loss: 0.0989 || KD Loss: 0.0281|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1057|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:11:11 || Estimated Time: 0:08:17
2023-07-21 14:31:41,872 semantic_segmentation INFO: Iters: 49870/50000 || Lr: 0.000095 || Task Loss: 0.1103 || KD Loss: 0.0276|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0915|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:11:45 || Estimated Time: 0:07:41
2023-07-21 14:32:16,264 semantic_segmentation INFO: Iters: 49880/50000 || Lr: 0.000088 || Task Loss: 0.1107 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1046|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:12:19 || Estimated Time: 0:07:06
2023-07-21 14:32:50,631 semantic_segmentation INFO: Iters: 49890/50000 || Lr: 0.000082 || Task Loss: 0.0963 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0878|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:12:54 || Estimated Time: 0:06:30
2023-07-21 14:33:25,064 semantic_segmentation INFO: Iters: 49900/50000 || Lr: 0.000075 || Task Loss: 0.0961 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1015|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:13:28 || Estimated Time: 0:05:55
2023-07-21 14:33:59,370 semantic_segmentation INFO: Iters: 49910/50000 || Lr: 0.000068 || Task Loss: 0.1042 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0962|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:14:02 || Estimated Time: 0:05:19
2023-07-21 14:34:33,776 semantic_segmentation INFO: Iters: 49920/50000 || Lr: 0.000062 || Task Loss: 0.1098 || KD Loss: 0.0293|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1004|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:14:37 || Estimated Time: 0:04:44
2023-07-21 14:35:08,118 semantic_segmentation INFO: Iters: 49930/50000 || Lr: 0.000055 || Task Loss: 0.1028 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0817|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:15:11 || Estimated Time: 0:04:08
2023-07-21 14:35:42,729 semantic_segmentation INFO: Iters: 49940/50000 || Lr: 0.000048 || Task Loss: 0.0974 || KD Loss: 0.0255|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0840|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:15:46 || Estimated Time: 0:03:33
2023-07-21 14:36:17,488 semantic_segmentation INFO: Iters: 49950/50000 || Lr: 0.000041 || Task Loss: 0.0981 || KD Loss: 0.0290|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1016|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:16:21 || Estimated Time: 0:02:57
2023-07-21 14:36:51,783 semantic_segmentation INFO: Iters: 49960/50000 || Lr: 0.000033 || Task Loss: 0.1026 || KD Loss: 0.0264|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0993|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:16:55 || Estimated Time: 0:02:22
2023-07-21 14:37:26,414 semantic_segmentation INFO: Iters: 49970/50000 || Lr: 0.000026 || Task Loss: 0.0942 || KD Loss: 0.0280|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0976|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:17:30 || Estimated Time: 0:01:46
2023-07-21 14:38:00,840 semantic_segmentation INFO: Iters: 49980/50000 || Lr: 0.000018 || Task Loss: 0.1152 || KD Loss: 0.0251|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0794|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:18:04 || Estimated Time: 0:01:11
2023-07-21 14:38:35,159 semantic_segmentation INFO: Iters: 49990/50000 || Lr: 0.000010 || Task Loss: 0.0962 || KD Loss: 0.0242|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0873|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:18:38 || Estimated Time: 0:00:35
2023-07-21 14:39:09,551 semantic_segmentation INFO: Iters: 50000/50000 || Lr: 0.000001 || Task Loss: 0.0868 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2 days, 1:19:13 || Estimated Time: 0:00:00
2023-07-21 14:39:09,686 semantic_segmentation INFO: Total training time: 2 days, 1:19:13.288707 (3.5511s / it)
