2023-07-11 15:49:34,808 semantic_segmentation INFO: Using 1 GPUs
2023-07-11 15:49:34,808 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='./resnet18-imagenet.pth', 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)
2023-07-11 15:49:39,739 semantic_segmentation INFO: Start training, Total Iterations 50000
2023-07-11 15:50:10,540 semantic_segmentation INFO: Iters: 10/50000 || Lr: 0.019997 || Task Loss: 1.4824 || KD Loss: 0.8763|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4895|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:00:30 || Estimated Time: 1 day, 17:23:44
2023-07-11 15:50:40,477 semantic_segmentation INFO: Iters: 20/50000 || Lr: 0.019993 || Task Loss: 0.8864 || KD Loss: 0.4872|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4486|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:01:00 || Estimated Time: 1 day, 17:26:30
2023-07-11 15:51:11,575 semantic_segmentation INFO: Iters: 30/50000 || Lr: 0.019990 || Task Loss: 0.6731 || KD Loss: 0.3389|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.4101|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:01:31 || Estimated Time: 1 day, 18:00:33
2023-07-11 15:51:44,191 semantic_segmentation INFO: Iters: 40/50000 || Lr: 0.019986 || Task Loss: 0.6400 || KD Loss: 0.3203|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.3463|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:02:04 || Estimated Time: 1 day, 18:48:08
2023-07-11 15:52:17,437 semantic_segmentation INFO: Iters: 50/50000 || Lr: 0.019982 || Task Loss: 0.6767 || KD Loss: 0.3094|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2864|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:02:37 || Estimated Time: 1 day, 19:26:58
2023-07-11 15:52:50,908 semantic_segmentation INFO: Iters: 60/50000 || Lr: 0.019979 || Task Loss: 0.6230 || KD Loss: 0.2977|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2648|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:03:11 || Estimated Time: 1 day, 19:57:08
2023-07-11 15:53:24,105 semantic_segmentation INFO: Iters: 70/50000 || Lr: 0.019975 || Task Loss: 0.4482 || KD Loss: 0.2053|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2208|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:03:44 || Estimated Time: 1 day, 20:14:00
2023-07-11 15:53:56,997 semantic_segmentation INFO: Iters: 80/50000 || Lr: 0.019972 || Task Loss: 0.5614 || KD Loss: 0.2374|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1959|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:04:17 || Estimated Time: 1 day, 20:24:01
2023-07-11 15:54:29,822 semantic_segmentation INFO: Iters: 90/50000 || Lr: 0.019968 || Task Loss: 0.5345 || KD Loss: 0.2533|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2149|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:04:50 || Estimated Time: 1 day, 20:31:03
2023-07-11 15:55:02,411 semantic_segmentation INFO: Iters: 100/50000 || Lr: 0.019964 || Task Loss: 0.5153 || KD Loss: 0.2295|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2027|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:05:22 || Estimated Time: 1 day, 20:34:26
2023-07-11 15:55:34,976 semantic_segmentation INFO: Iters: 110/50000 || Lr: 0.019961 || Task Loss: 0.5751 || KD Loss: 0.2970|| 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: 0:05:55 || Estimated Time: 1 day, 20:37:21
2023-07-11 15:56:07,496 semantic_segmentation INFO: Iters: 120/50000 || Lr: 0.019957 || Task Loss: 0.5622 || KD Loss: 0.2527|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2228|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:06:27 || Estimated Time: 1 day, 20:38:46
2023-07-11 15:56:39,878 semantic_segmentation INFO: Iters: 130/50000 || Lr: 0.019954 || Task Loss: 0.4391 || KD Loss: 0.2210|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2044|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:07:00 || Estimated Time: 1 day, 20:39:12
2023-07-11 15:57:12,305 semantic_segmentation INFO: Iters: 140/50000 || Lr: 0.019950 || Task Loss: 0.4510 || KD Loss: 0.2248|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2115|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:07:32 || Estimated Time: 1 day, 20:39:51
2023-07-11 15:57:44,583 semantic_segmentation INFO: Iters: 150/50000 || Lr: 0.019946 || Task Loss: 0.4719 || KD Loss: 0.2053|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1836|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:08:04 || Estimated Time: 1 day, 20:39:41
2023-07-11 15:58:16,931 semantic_segmentation INFO: Iters: 160/50000 || Lr: 0.019943 || Task Loss: 0.4350 || KD Loss: 0.1799|| 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: 0:08:37 || Estimated Time: 1 day, 20:39:27
2023-07-11 15:58:49,219 semantic_segmentation INFO: Iters: 170/50000 || Lr: 0.019939 || Task Loss: 0.4402 || KD Loss: 0.1846|| 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: 0:09:09 || Estimated Time: 1 day, 20:39:04
2023-07-11 15:59:21,475 semantic_segmentation INFO: Iters: 180/50000 || Lr: 0.019936 || Task Loss: 0.4113 || KD Loss: 0.2347|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.2020|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:09:41 || Estimated Time: 1 day, 20:38:27
2023-07-11 15:59:53,774 semantic_segmentation INFO: Iters: 190/50000 || Lr: 0.019932 || Task Loss: 0.4586 || KD Loss: 0.1868|| 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: 0:10:14 || Estimated Time: 1 day, 20:38:09
2023-07-11 16:00:25,978 semantic_segmentation INFO: Iters: 200/50000 || Lr: 0.019928 || Task Loss: 0.3981 || KD Loss: 0.1908|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1868|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:10:46 || Estimated Time: 1 day, 20:37:34
2023-07-11 16:00:58,277 semantic_segmentation INFO: Iters: 210/50000 || Lr: 0.019925 || Task Loss: 0.3970 || KD Loss: 0.1501|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1626|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:11:18 || Estimated Time: 1 day, 20:36:58
2023-07-11 16:01:30,499 semantic_segmentation INFO: Iters: 220/50000 || Lr: 0.019921 || Task Loss: 0.4046 || KD Loss: 0.2022|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1863|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 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, 20:36:30
2023-07-11 16:02:02,753 semantic_segmentation INFO: Iters: 230/50000 || Lr: 0.019918 || Task Loss: 0.3917 || KD Loss: 0.1439|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1615|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:12:23 || Estimated Time: 1 day, 20:35:47
2023-07-11 16:02:34,960 semantic_segmentation INFO: Iters: 240/50000 || Lr: 0.019914 || Task Loss: 0.3744 || KD Loss: 0.1448|| 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: 0:12:55 || Estimated Time: 1 day, 20:35:04
2023-07-11 16:03:07,160 semantic_segmentation INFO: Iters: 250/50000 || Lr: 0.019910 || Task Loss: 0.4143 || KD Loss: 0.2133|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1788|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:13:27 || Estimated Time: 1 day, 20:34:27
2023-07-11 16:03:39,471 semantic_segmentation INFO: Iters: 260/50000 || Lr: 0.019907 || Task Loss: 0.3428 || KD Loss: 0.1818|| 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: 0:13:59 || Estimated Time: 1 day, 20:33:55
2023-07-11 16:04:11,622 semantic_segmentation INFO: Iters: 270/50000 || Lr: 0.019903 || Task Loss: 0.3397 || KD Loss: 0.1497|| 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: 0:14:31 || Estimated Time: 1 day, 20:33:06
2023-07-11 16:04:43,712 semantic_segmentation INFO: Iters: 280/50000 || Lr: 0.019900 || Task Loss: 0.3413 || KD Loss: 0.1579|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1741|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:15:03 || Estimated Time: 1 day, 20:32:08
2023-07-11 16:05:15,880 semantic_segmentation INFO: Iters: 290/50000 || Lr: 0.019896 || Task Loss: 0.2668 || KD Loss: 0.1185|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1590|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:15:36 || Estimated Time: 1 day, 20:31:22
2023-07-11 16:05:48,024 semantic_segmentation INFO: Iters: 300/50000 || Lr: 0.019892 || Task Loss: 0.3514 || KD Loss: 0.1581|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1617|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:16:08 || Estimated Time: 1 day, 20:30:32
2023-07-11 16:06:20,159 semantic_segmentation INFO: Iters: 310/50000 || Lr: 0.019889 || Task Loss: 0.3180 || KD Loss: 0.1333|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1612|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:16:40 || Estimated Time: 1 day, 20:29:46
2023-07-11 16:06:52,259 semantic_segmentation INFO: Iters: 320/50000 || Lr: 0.019885 || Task Loss: 0.3433 || KD Loss: 0.1739|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1718|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:17:12 || Estimated Time: 1 day, 20:28:56
2023-07-11 16:07:24,472 semantic_segmentation INFO: Iters: 330/50000 || Lr: 0.019882 || Task Loss: 0.3278 || KD Loss: 0.1376|| 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: 0:17:44 || Estimated Time: 1 day, 20:28:17
2023-07-11 16:07:56,713 semantic_segmentation INFO: Iters: 340/50000 || Lr: 0.019878 || Task Loss: 0.3269 || KD Loss: 0.1496|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1745|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:18:16 || Estimated Time: 1 day, 20:27:43
2023-07-11 16:08:28,794 semantic_segmentation INFO: Iters: 350/50000 || Lr: 0.019874 || Task Loss: 0.3618 || KD Loss: 0.1607|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1656|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:18:49 || Estimated Time: 1 day, 20:26:51
2023-07-11 16:09:00,880 semantic_segmentation INFO: Iters: 360/50000 || Lr: 0.019871 || Task Loss: 0.3464 || KD Loss: 0.1493|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1614|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:19:21 || Estimated Time: 1 day, 20:26:04
2023-07-11 16:09:33,381 semantic_segmentation INFO: Iters: 370/50000 || Lr: 0.019867 || Task Loss: 0.2693 || KD Loss: 0.1266|| 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: 0:19:53 || Estimated Time: 1 day, 20:26:02
2023-07-11 16:10:05,589 semantic_segmentation INFO: Iters: 380/50000 || Lr: 0.019864 || Task Loss: 0.2645 || KD Loss: 0.1079|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1446|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:20:25 || Estimated Time: 1 day, 20:25:33
2023-07-11 16:10:37,818 semantic_segmentation INFO: Iters: 390/50000 || Lr: 0.019860 || Task Loss: 0.2822 || KD Loss: 0.1190|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1592|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:20:58 || Estimated Time: 1 day, 20:24:57
2023-07-11 16:11:09,905 semantic_segmentation INFO: Iters: 400/50000 || Lr: 0.019856 || Task Loss: 0.2714 || KD Loss: 0.1216|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1615|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:21:30 || Estimated Time: 1 day, 20:24:10
2023-07-11 16:11:42,071 semantic_segmentation INFO: Iters: 410/50000 || Lr: 0.019853 || Task Loss: 0.2512 || KD Loss: 0.1214|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1622|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:22:02 || Estimated Time: 1 day, 20:23:31
2023-07-11 16:12:14,183 semantic_segmentation INFO: Iters: 420/50000 || Lr: 0.019849 || Task Loss: 0.2622 || KD Loss: 0.1076|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1565|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 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, 20:22:42
2023-07-11 16:12:46,173 semantic_segmentation INFO: Iters: 430/50000 || Lr: 0.019845 || Task Loss: 0.3222 || KD Loss: 0.1209|| 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: 0:23:06 || Estimated Time: 1 day, 20:21:48
2023-07-11 16:13:18,325 semantic_segmentation INFO: Iters: 440/50000 || Lr: 0.019842 || Task Loss: 0.3419 || KD Loss: 0.1185|| 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: 0:23:38 || Estimated Time: 1 day, 20:21:05
2023-07-11 16:13:50,452 semantic_segmentation INFO: Iters: 450/50000 || Lr: 0.019838 || Task Loss: 0.3187 || KD Loss: 0.1431|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1652|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:24:10 || Estimated Time: 1 day, 20:20:20
2023-07-11 16:14:22,633 semantic_segmentation INFO: Iters: 460/50000 || Lr: 0.019835 || Task Loss: 0.2871 || KD Loss: 0.1053|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1457|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:24:42 || Estimated Time: 1 day, 20:19:48
2023-07-11 16:14:54,881 semantic_segmentation INFO: Iters: 470/50000 || Lr: 0.019831 || Task Loss: 0.2537 || KD Loss: 0.1166|| 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: 0:25:15 || Estimated Time: 1 day, 20:19:16
2023-07-11 16:15:27,049 semantic_segmentation INFO: Iters: 480/50000 || Lr: 0.019827 || Task Loss: 0.2623 || KD Loss: 0.1017|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1345|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:25:47 || Estimated Time: 1 day, 20:18:38
2023-07-11 16:15:59,104 semantic_segmentation INFO: Iters: 490/50000 || Lr: 0.019824 || Task Loss: 0.2903 || KD Loss: 0.1252|| 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: 0:26:19 || Estimated Time: 1 day, 20:17:55
2023-07-11 16:16:31,391 semantic_segmentation INFO: Iters: 500/50000 || Lr: 0.019820 || Task Loss: 0.2907 || KD Loss: 0.1148|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1461|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:26:51 || Estimated Time: 1 day, 20:17:26
2023-07-11 16:17:03,560 semantic_segmentation INFO: Iters: 510/50000 || Lr: 0.019817 || Task Loss: 0.2462 || KD Loss: 0.1134|| 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: 0:27:23 || Estimated Time: 1 day, 20:16:48
2023-07-11 16:17:35,763 semantic_segmentation INFO: Iters: 520/50000 || Lr: 0.019813 || Task Loss: 0.2712 || KD Loss: 0.1260|| 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: 0:27:56 || Estimated Time: 1 day, 20:16:15
2023-07-11 16:18:08,026 semantic_segmentation INFO: Iters: 530/50000 || Lr: 0.019809 || Task Loss: 0.2550 || KD Loss: 0.1060|| 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: 0:28:28 || Estimated Time: 1 day, 20:15:51
2023-07-11 16:18:40,229 semantic_segmentation INFO: Iters: 540/50000 || Lr: 0.019806 || Task Loss: 0.2405 || KD Loss: 0.1137|| 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: 0:29:00 || Estimated Time: 1 day, 20:15:16
2023-07-11 16:19:12,512 semantic_segmentation INFO: Iters: 550/50000 || Lr: 0.019802 || Task Loss: 0.2418 || KD Loss: 0.0967|| 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: 0:29:32 || Estimated Time: 1 day, 20:14:52
2023-07-11 16:19:44,742 semantic_segmentation INFO: Iters: 560/50000 || Lr: 0.019799 || Task Loss: 0.2521 || KD Loss: 0.1177|| 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: 0:30:05 || Estimated Time: 1 day, 20:14:19
2023-07-11 16:20:16,892 semantic_segmentation INFO: Iters: 570/50000 || Lr: 0.019795 || Task Loss: 0.2794 || KD Loss: 0.1207|| 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: 0:30:37 || Estimated Time: 1 day, 20:13:41
2023-07-11 16:20:48,984 semantic_segmentation INFO: Iters: 580/50000 || Lr: 0.019791 || Task Loss: 0.2879 || KD Loss: 0.1655|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1821|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:31:09 || Estimated Time: 1 day, 20:13:00
2023-07-11 16:21:21,053 semantic_segmentation INFO: Iters: 590/50000 || Lr: 0.019788 || Task Loss: 0.2252 || KD Loss: 0.0962|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1484|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:31:41 || Estimated Time: 1 day, 20:12:16
2023-07-11 16:21:53,311 semantic_segmentation INFO: Iters: 600/50000 || Lr: 0.019784 || Task Loss: 0.2698 || KD Loss: 0.1132|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1539|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:32:13 || Estimated Time: 1 day, 20:11:46
2023-07-11 16:22:25,709 semantic_segmentation INFO: Iters: 610/50000 || Lr: 0.019781 || Task Loss: 0.2452 || KD Loss: 0.0928|| 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: 0:32:45 || Estimated Time: 1 day, 20:11:31
2023-07-11 16:22:57,916 semantic_segmentation INFO: Iters: 620/50000 || Lr: 0.019777 || Task Loss: 0.2761 || KD Loss: 0.1138|| 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: 0:33:18 || Estimated Time: 1 day, 20:10:58
2023-07-11 16:23:30,079 semantic_segmentation INFO: Iters: 630/50000 || Lr: 0.019773 || Task Loss: 0.2984 || KD Loss: 0.1302|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1505|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 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, 20:10:26
2023-07-11 16:24:02,183 semantic_segmentation INFO: Iters: 640/50000 || Lr: 0.019770 || Task Loss: 0.2411 || KD Loss: 0.0997|| 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: 0:34:22 || Estimated Time: 1 day, 20:09:41
2023-07-11 16:24:34,366 semantic_segmentation INFO: Iters: 650/50000 || Lr: 0.019766 || Task Loss: 0.2719 || KD Loss: 0.1132|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1571|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:34:54 || Estimated Time: 1 day, 20:09:08
2023-07-11 16:25:06,549 semantic_segmentation INFO: Iters: 660/50000 || Lr: 0.019763 || Task Loss: 0.2382 || KD Loss: 0.0962|| 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: 0:35:26 || Estimated Time: 1 day, 20:08:36
2023-07-11 16:25:38,840 semantic_segmentation INFO: Iters: 670/50000 || Lr: 0.019759 || Task Loss: 0.2993 || KD Loss: 0.1198|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1345|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:35:59 || Estimated Time: 1 day, 20:08:08
2023-07-11 16:26:11,042 semantic_segmentation INFO: Iters: 680/50000 || Lr: 0.019755 || Task Loss: 0.2049 || KD Loss: 0.0939|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1545|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:36:31 || Estimated Time: 1 day, 20:07:35
2023-07-11 16:26:43,209 semantic_segmentation INFO: Iters: 690/50000 || Lr: 0.019752 || Task Loss: 0.2474 || KD Loss: 0.0893|| 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: 0:37:03 || Estimated Time: 1 day, 20:07:02
2023-07-11 16:27:15,369 semantic_segmentation INFO: Iters: 700/50000 || Lr: 0.019748 || Task Loss: 0.3149 || KD Loss: 0.1327|| 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: 0:37:35 || Estimated Time: 1 day, 20:06:26
2023-07-11 16:27:47,567 semantic_segmentation INFO: Iters: 710/50000 || Lr: 0.019745 || Task Loss: 0.2375 || KD Loss: 0.1009|| 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: 0:38:07 || Estimated Time: 1 day, 20:05:52
2023-07-11 16:28:19,672 semantic_segmentation INFO: Iters: 720/50000 || Lr: 0.019741 || Task Loss: 0.2635 || KD Loss: 0.1013|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1408|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:38:39 || Estimated Time: 1 day, 20:05:12
2023-07-11 16:28:51,822 semantic_segmentation INFO: Iters: 730/50000 || Lr: 0.019737 || Task Loss: 0.2756 || KD Loss: 0.1109|| 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: 0:39:12 || Estimated Time: 1 day, 20:04:39
2023-07-11 16:29:23,916 semantic_segmentation INFO: Iters: 740/50000 || Lr: 0.019734 || Task Loss: 0.2434 || KD Loss: 0.0900|| 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: 0:39:44 || Estimated Time: 1 day, 20:03:56
2023-07-11 16:29:56,062 semantic_segmentation INFO: Iters: 750/50000 || Lr: 0.019730 || Task Loss: 0.2183 || KD Loss: 0.0935|| 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: 0:40:16 || Estimated Time: 1 day, 20:03:21
2023-07-11 16:30:28,160 semantic_segmentation INFO: Iters: 760/50000 || Lr: 0.019727 || Task Loss: 0.2261 || KD Loss: 0.0897|| 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: 0:40:48 || Estimated Time: 1 day, 20:02:42
2023-07-11 16:31:00,239 semantic_segmentation INFO: Iters: 770/50000 || Lr: 0.019723 || Task Loss: 0.2082 || KD Loss: 0.0957|| 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: 0:41:20 || Estimated Time: 1 day, 20:02:04
2023-07-11 16:31:32,495 semantic_segmentation INFO: Iters: 780/50000 || Lr: 0.019719 || Task Loss: 0.2121 || KD Loss: 0.0871|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1483|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:41:52 || Estimated Time: 1 day, 20:01:32
2023-07-11 16:32:04,687 semantic_segmentation INFO: Iters: 790/50000 || Lr: 0.019716 || Task Loss: 0.2125 || KD Loss: 0.0917|| 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: 0:42:24 || Estimated Time: 1 day, 20:01:00
2023-07-11 16:32:36,866 semantic_segmentation INFO: Iters: 800/50000 || Lr: 0.019712 || Task Loss: 0.2393 || KD Loss: 0.1147|| 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: 0:42:57 || Estimated Time: 1 day, 20:00:26
2023-07-11 16:32:36,944 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 16:32:37,157 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.952, mIoU: 0.657
2023-07-11 16:32:37,188 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.953, mIoU: 0.664
2023-07-11 16:32:37,200 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.953, mIoU: 0.665
2023-07-11 16:32:37,212 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.953, mIoU: 0.661
2023-07-11 16:32:37,225 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.953, mIoU: 0.661
2023-07-11 16:32:37,238 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.953, mIoU: 0.660
2023-07-11 16:32:37,250 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.953, mIoU: 0.658
2023-07-11 16:32:37,262 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.952, mIoU: 0.656
2023-07-11 16:32:37,275 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.951, mIoU: 0.654
2023-07-11 16:32:37,287 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.951, mIoU: 0.655
2023-07-11 16:32:37,300 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.951, mIoU: 0.657
2023-07-11 16:32:37,313 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.949, mIoU: 0.655
2023-07-11 16:32:37,325 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.950, mIoU: 0.657
2023-07-11 16:32:37,339 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.950, mIoU: 0.659
2023-07-11 16:32:37,351 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.950, mIoU: 0.660
2023-07-11 16:32:37,364 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.950, mIoU: 0.661
2023-07-11 16:32:37,377 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.950, mIoU: 0.661
2023-07-11 16:32:37,390 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.949, mIoU: 0.662
2023-07-11 16:32:37,403 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.949, mIoU: 0.661
2023-07-11 16:32:37,416 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.948, mIoU: 0.662
2023-07-11 16:32:37,428 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.948, mIoU: 0.663
2023-07-11 16:32:37,441 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.948, mIoU: 0.663
2023-07-11 16:32:37,454 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.948, mIoU: 0.664
2023-07-11 16:32:37,466 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.948, mIoU: 0.663
2023-07-11 16:32:37,479 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.948, mIoU: 0.663
2023-07-11 16:32:37,492 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.948, mIoU: 0.664
2023-07-11 16:32:37,505 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.948, mIoU: 0.664
2023-07-11 16:32:37,518 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.948, mIoU: 0.664
2023-07-11 16:32:37,531 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.948, mIoU: 0.666
2023-07-11 16:32:37,545 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.948, mIoU: 0.666
2023-07-11 16:32:37,559 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.948, mIoU: 0.667
2023-07-11 16:32:37,572 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.948, mIoU: 0.668
2023-07-11 16:32:37,585 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.948, mIoU: 0.669
2023-07-11 16:32:37,598 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.948, mIoU: 0.670
2023-07-11 16:32:37,612 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.948, mIoU: 0.671
2023-07-11 16:32:37,625 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.947, mIoU: 0.671
2023-07-11 16:32:37,638 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.947, mIoU: 0.672
2023-07-11 16:32:37,651 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.947, mIoU: 0.674
2023-07-11 16:32:37,664 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.947, mIoU: 0.675
2023-07-11 16:32:37,677 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.947, mIoU: 0.676
2023-07-11 16:32:37,690 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.947, mIoU: 0.677
2023-07-11 16:32:37,704 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.947, mIoU: 0.678
2023-07-11 16:32:37,718 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.947, mIoU: 0.679
2023-07-11 16:32:37,731 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.947, mIoU: 0.680
2023-07-11 16:32:37,745 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.946, mIoU: 0.681
2023-07-11 16:32:37,759 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.946, mIoU: 0.682
2023-07-11 16:32:37,772 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.946, mIoU: 0.684
2023-07-11 16:32:37,786 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.946, mIoU: 0.685
2023-07-11 16:32:37,800 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.946, mIoU: 0.685
2023-07-11 16:32:37,814 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.946, mIoU: 0.685
2023-07-11 16:32:37,827 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.945, mIoU: 0.686
2023-07-11 16:32:37,840 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.945, mIoU: 0.686
2023-07-11 16:32:37,854 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.944, mIoU: 0.687
2023-07-11 16:32:37,867 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.944, mIoU: 0.687
2023-07-11 16:32:37,881 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.944, mIoU: 0.687
2023-07-11 16:32:37,894 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.943, mIoU: 0.688
2023-07-11 16:32:37,906 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.943, mIoU: 0.688
2023-07-11 16:32:37,919 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.943, mIoU: 0.689
2023-07-11 16:32:37,932 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.943, mIoU: 0.689
2023-07-11 16:32:37,945 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.943, mIoU: 0.690
2023-07-11 16:32:37,958 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.942, mIoU: 0.690
2023-07-11 16:32:37,970 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.942, mIoU: 0.691
2023-07-11 16:32:37,983 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.942, mIoU: 0.692
2023-07-11 16:32:37,996 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.941, mIoU: 0.692
2023-07-11 16:32:38,009 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.941, mIoU: 0.693
2023-07-11 16:32:38,022 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.940, mIoU: 0.694
2023-07-11 16:32:38,034 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.940, mIoU: 0.695
2023-07-11 16:32:38,047 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.940, mIoU: 0.696
2023-07-11 16:32:38,060 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.939, mIoU: 0.697
2023-07-11 16:32:38,072 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.939, mIoU: 0.698
2023-07-11 16:32:38,085 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.939, mIoU: 0.698
2023-07-11 16:32:38,099 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.938, mIoU: 0.698
2023-07-11 16:32:38,112 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.938, mIoU: 0.698
2023-07-11 16:32:38,126 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.938, mIoU: 0.697
2023-07-11 16:32:38,139 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.937, mIoU: 0.696
2023-07-11 16:32:38,153 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.937, mIoU: 0.695
2023-07-11 16:32:38,166 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.937, mIoU: 0.694
2023-07-11 16:32:38,180 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.936, mIoU: 0.694
2023-07-11 16:32:38,193 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.936, mIoU: 0.693
2023-07-11 16:32:38,206 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.936, mIoU: 0.693
2023-07-11 16:32:38,220 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.936, mIoU: 0.692
2023-07-11 16:32:38,233 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.935, mIoU: 0.692
2023-07-11 16:32:38,246 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.935, mIoU: 0.691
2023-07-11 16:32:38,260 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.935, mIoU: 0.691
2023-07-11 16:32:38,273 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.935, mIoU: 0.690
2023-07-11 16:32:38,286 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.935, mIoU: 0.690
2023-07-11 16:32:38,299 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.934, mIoU: 0.689
2023-07-11 16:32:38,312 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.934, mIoU: 0.689
2023-07-11 16:32:38,325 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.934, mIoU: 0.688
2023-07-11 16:32:38,338 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.934, mIoU: 0.687
2023-07-11 16:32:38,351 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-11 16:32:38,363 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-11 16:32:38,376 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-11 16:32:38,389 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.934, mIoU: 0.686
2023-07-11 16:32:38,402 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.935, mIoU: 0.686
2023-07-11 16:32:38,415 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.935, mIoU: 0.685
2023-07-11 16:32:38,427 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.935, mIoU: 0.685
2023-07-11 16:32:38,440 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.935, mIoU: 0.685
2023-07-11 16:32:38,453 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.935, mIoU: 0.685
2023-07-11 16:32:38,465 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.935, mIoU: 0.685
2023-07-11 16:32:38,478 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.935, mIoU: 0.685
2023-07-11 16:33:10,806 semantic_segmentation INFO: Iters: 810/50000 || Lr: 0.019709 || Task Loss: 0.2338 || KD Loss: 0.0976|| 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: 0:43:31 || Estimated Time: 1 day, 20:01:40
2023-07-11 16:33:42,994 semantic_segmentation INFO: Iters: 820/50000 || Lr: 0.019705 || Task Loss: 0.2100 || KD Loss: 0.0885|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1489|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:44:03 || Estimated Time: 1 day, 20:01:05
2023-07-11 16:34:15,178 semantic_segmentation INFO: Iters: 830/50000 || Lr: 0.019701 || Task Loss: 0.2616 || KD Loss: 0.0938|| 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: 0:44:35 || Estimated Time: 1 day, 20:00:30
2023-07-11 16:34:47,393 semantic_segmentation INFO: Iters: 840/50000 || Lr: 0.019698 || Task Loss: 0.2789 || KD Loss: 0.1054|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1408|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 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, 20:00:00
2023-07-11 16:35:19,619 semantic_segmentation INFO: Iters: 850/50000 || Lr: 0.019694 || Task Loss: 0.2512 || KD Loss: 0.1105|| 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: 0:45:39 || Estimated Time: 1 day, 19:59:27
2023-07-11 16:35:51,875 semantic_segmentation INFO: Iters: 860/50000 || Lr: 0.019690 || Task Loss: 0.2357 || KD Loss: 0.1033|| 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: 0:46:12 || Estimated Time: 1 day, 19:58:55
2023-07-11 16:36:24,126 semantic_segmentation INFO: Iters: 870/50000 || Lr: 0.019687 || Task Loss: 0.2361 || KD Loss: 0.0845|| 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: 0:46:44 || Estimated Time: 1 day, 19:58:26
2023-07-11 16:36:56,332 semantic_segmentation INFO: Iters: 880/50000 || Lr: 0.019683 || Task Loss: 0.2288 || KD Loss: 0.0902|| 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: 0:47:16 || Estimated Time: 1 day, 19:57:52
2023-07-11 16:37:28,409 semantic_segmentation INFO: Iters: 890/50000 || Lr: 0.019680 || Task Loss: 0.2058 || KD Loss: 0.0854|| 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: 0:47:48 || Estimated Time: 1 day, 19:57:13
2023-07-11 16:38:00,551 semantic_segmentation INFO: Iters: 900/50000 || Lr: 0.019676 || Task Loss: 0.2194 || KD Loss: 0.0936|| 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: 0:48:20 || Estimated Time: 1 day, 19:56:36
2023-07-11 16:38:32,533 semantic_segmentation INFO: Iters: 910/50000 || Lr: 0.019672 || Task Loss: 0.2197 || KD Loss: 0.0930|| 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: 0:48:52 || Estimated Time: 1 day, 19:55:50
2023-07-11 16:39:04,638 semantic_segmentation INFO: Iters: 920/50000 || Lr: 0.019669 || Task Loss: 0.2274 || KD Loss: 0.0958|| 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: 0:49:24 || Estimated Time: 1 day, 19:55:13
2023-07-11 16:39:36,766 semantic_segmentation INFO: Iters: 930/50000 || Lr: 0.019665 || Task Loss: 0.2596 || KD Loss: 0.1110|| 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: 0:49:57 || Estimated Time: 1 day, 19:54:36
2023-07-11 16:40:08,876 semantic_segmentation INFO: Iters: 940/50000 || Lr: 0.019662 || Task Loss: 0.2032 || KD Loss: 0.0943|| 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: 0:50:29 || Estimated Time: 1 day, 19:54:00
2023-07-11 16:40:41,034 semantic_segmentation INFO: Iters: 950/50000 || Lr: 0.019658 || Task Loss: 0.2387 || KD Loss: 0.0875|| 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: 0:51:01 || Estimated Time: 1 day, 19:53:25
2023-07-11 16:41:13,296 semantic_segmentation INFO: Iters: 960/50000 || Lr: 0.019654 || Task Loss: 0.1957 || KD Loss: 0.0863|| 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: 0:51:33 || Estimated Time: 1 day, 19:52:54
2023-07-11 16:41:45,469 semantic_segmentation INFO: Iters: 970/50000 || Lr: 0.019651 || Task Loss: 0.2030 || KD Loss: 0.0853|| 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: 0:52:05 || Estimated Time: 1 day, 19:52:18
2023-07-11 16:42:17,626 semantic_segmentation INFO: Iters: 980/50000 || Lr: 0.019647 || Task Loss: 0.2093 || KD Loss: 0.0922|| 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: 0:52:37 || Estimated Time: 1 day, 19:51:44
2023-07-11 16:42:49,755 semantic_segmentation INFO: Iters: 990/50000 || Lr: 0.019644 || Task Loss: 0.2057 || KD Loss: 0.0826|| 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: 0:53:10 || Estimated Time: 1 day, 19:51:08
2023-07-11 16:43:21,948 semantic_segmentation INFO: Iters: 1000/50000 || Lr: 0.019640 || Task Loss: 0.1900 || KD Loss: 0.0790|| 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: 0:53:42 || Estimated Time: 1 day, 19:50:35
2023-07-11 16:43:54,131 semantic_segmentation INFO: Iters: 1010/50000 || Lr: 0.019636 || Task Loss: 0.2065 || KD Loss: 0.0730|| 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: 0:54:14 || Estimated Time: 1 day, 19:50:01
2023-07-11 16:44:26,302 semantic_segmentation INFO: Iters: 1020/50000 || Lr: 0.019633 || Task Loss: 0.2156 || KD Loss: 0.0798|| 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: 0:54:46 || Estimated Time: 1 day, 19:49:29
2023-07-11 16:44:58,507 semantic_segmentation INFO: Iters: 1030/50000 || Lr: 0.019629 || Task Loss: 0.2010 || KD Loss: 0.0892|| 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: 0:55:18 || Estimated Time: 1 day, 19:48:55
2023-07-11 16:45:30,604 semantic_segmentation INFO: Iters: 1040/50000 || Lr: 0.019626 || Task Loss: 0.2088 || KD Loss: 0.0929|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1452|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:55:50 || Estimated Time: 1 day, 19:48:19
2023-07-11 16:46:02,671 semantic_segmentation INFO: Iters: 1050/50000 || Lr: 0.019622 || Task Loss: 0.2019 || KD Loss: 0.0821|| 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: 0:56:22 || Estimated Time: 1 day, 19:47:39
2023-07-11 16:46:34,719 semantic_segmentation INFO: Iters: 1060/50000 || Lr: 0.019618 || Task Loss: 0.2219 || KD Loss: 0.0769|| 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: 0:56:54 || Estimated Time: 1 day, 19:46:59
2023-07-11 16:47:06,876 semantic_segmentation INFO: Iters: 1070/50000 || Lr: 0.019615 || Task Loss: 0.1823 || KD Loss: 0.0855|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1538|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 0:57:27 || Estimated Time: 1 day, 19:46:24
2023-07-11 16:47:38,953 semantic_segmentation INFO: Iters: 1080/50000 || Lr: 0.019611 || Task Loss: 0.2248 || KD Loss: 0.0886|| 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: 0:57:59 || Estimated Time: 1 day, 19:45:45
2023-07-11 16:48:11,098 semantic_segmentation INFO: Iters: 1090/50000 || Lr: 0.019608 || Task Loss: 0.1895 || KD Loss: 0.0731|| 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: 0:58:31 || Estimated Time: 1 day, 19:45:11
2023-07-11 16:48:43,171 semantic_segmentation INFO: Iters: 1100/50000 || Lr: 0.019604 || Task Loss: 0.2481 || KD Loss: 0.0945|| 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: 0:59:03 || Estimated Time: 1 day, 19:44:33
2023-07-11 16:49:15,383 semantic_segmentation INFO: Iters: 1110/50000 || Lr: 0.019600 || Task Loss: 0.2224 || KD Loss: 0.1038|| 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: 0:59:35 || Estimated Time: 1 day, 19:44:01
2023-07-11 16:49:47,508 semantic_segmentation INFO: Iters: 1120/50000 || Lr: 0.019597 || Task Loss: 0.2059 || KD Loss: 0.0797|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1313|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:00:07 || Estimated Time: 1 day, 19:43:26
2023-07-11 16:50:19,581 semantic_segmentation INFO: Iters: 1130/50000 || Lr: 0.019593 || Task Loss: 0.2173 || KD Loss: 0.0704|| 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: 1:00:39 || Estimated Time: 1 day, 19:42:49
2023-07-11 16:50:51,723 semantic_segmentation INFO: Iters: 1140/50000 || Lr: 0.019589 || Task Loss: 0.2424 || KD Loss: 0.1054|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1505|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:01:11 || Estimated Time: 1 day, 19:42:15
2023-07-11 16:51:24,323 semantic_segmentation INFO: Iters: 1150/50000 || Lr: 0.019586 || Task Loss: 0.1931 || KD Loss: 0.0773|| 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: 1:01:44 || Estimated Time: 1 day, 19:41:57
2023-07-11 16:51:57,346 semantic_segmentation INFO: Iters: 1160/50000 || Lr: 0.019582 || Task Loss: 0.1938 || KD Loss: 0.0785|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1291|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:02:17 || Estimated Time: 1 day, 19:42:00
2023-07-11 16:52:29,494 semantic_segmentation INFO: Iters: 1170/50000 || Lr: 0.019579 || Task Loss: 0.2103 || KD Loss: 0.0787|| 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: 1:02:49 || Estimated Time: 1 day, 19:41:26
2023-07-11 16:53:01,626 semantic_segmentation INFO: Iters: 1180/50000 || Lr: 0.019575 || Task Loss: 0.1829 || KD Loss: 0.0728|| 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: 1:03:21 || Estimated Time: 1 day, 19:40:50
2023-07-11 16:53:33,903 semantic_segmentation INFO: Iters: 1190/50000 || Lr: 0.019571 || Task Loss: 0.2367 || KD Loss: 0.0939|| 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: 1:03:54 || Estimated Time: 1 day, 19:40:20
2023-07-11 16:54:06,025 semantic_segmentation INFO: Iters: 1200/50000 || Lr: 0.019568 || Task Loss: 0.2103 || KD Loss: 0.0860|| 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: 1:04:26 || Estimated Time: 1 day, 19:39:44
2023-07-11 16:54:38,203 semantic_segmentation INFO: Iters: 1210/50000 || Lr: 0.019564 || Task Loss: 0.2074 || KD Loss: 0.0918|| 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: 1:04:58 || Estimated Time: 1 day, 19:39:10
2023-07-11 16:55:10,384 semantic_segmentation INFO: Iters: 1220/50000 || Lr: 0.019561 || Task Loss: 0.2260 || KD Loss: 0.1068|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1545|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:05:30 || Estimated Time: 1 day, 19:38:37
2023-07-11 16:55:42,616 semantic_segmentation INFO: Iters: 1230/50000 || Lr: 0.019557 || Task Loss: 0.1840 || KD Loss: 0.0789|| 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: 1:06:02 || Estimated Time: 1 day, 19:38:07
2023-07-11 16:56:14,756 semantic_segmentation INFO: Iters: 1240/50000 || Lr: 0.019553 || Task Loss: 0.1711 || KD Loss: 0.0769|| 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: 1:06:35 || Estimated Time: 1 day, 19:37:32
2023-07-11 16:56:46,847 semantic_segmentation INFO: Iters: 1250/50000 || Lr: 0.019550 || Task Loss: 0.2197 || KD Loss: 0.0822|| 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: 1:07:07 || Estimated Time: 1 day, 19:36:56
2023-07-11 16:57:18,949 semantic_segmentation INFO: Iters: 1260/50000 || Lr: 0.019546 || Task Loss: 0.2157 || KD Loss: 0.0796|| 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: 1:07:39 || Estimated Time: 1 day, 19:36:18
2023-07-11 16:57:51,049 semantic_segmentation INFO: Iters: 1270/50000 || Lr: 0.019543 || Task Loss: 0.1924 || KD Loss: 0.0720|| 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: 1:08:11 || Estimated Time: 1 day, 19:35:42
2023-07-11 16:58:23,059 semantic_segmentation INFO: Iters: 1280/50000 || Lr: 0.019539 || Task Loss: 0.2147 || KD Loss: 0.0915|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1463|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:08:43 || Estimated Time: 1 day, 19:35:02
2023-07-11 16:58:55,096 semantic_segmentation INFO: Iters: 1290/50000 || Lr: 0.019535 || Task Loss: 0.2320 || KD Loss: 0.0776|| 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: 1:09:15 || Estimated Time: 1 day, 19:34:24
2023-07-11 16:59:27,262 semantic_segmentation INFO: Iters: 1300/50000 || Lr: 0.019532 || Task Loss: 0.2300 || KD Loss: 0.0801|| 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: 1:09:47 || Estimated Time: 1 day, 19:33:51
2023-07-11 16:59:59,348 semantic_segmentation INFO: Iters: 1310/50000 || Lr: 0.019528 || Task Loss: 0.2082 || KD Loss: 0.0811|| 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: 1:10:19 || Estimated Time: 1 day, 19:33:13
2023-07-11 17:00:31,510 semantic_segmentation INFO: Iters: 1320/50000 || Lr: 0.019525 || Task Loss: 0.1712 || KD Loss: 0.0699|| 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: 1:10:51 || Estimated Time: 1 day, 19:32:41
2023-07-11 17:01:03,646 semantic_segmentation INFO: Iters: 1330/50000 || Lr: 0.019521 || Task Loss: 0.2023 || KD Loss: 0.0878|| 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: 1:11:23 || Estimated Time: 1 day, 19:32:05
2023-07-11 17:01:35,803 semantic_segmentation INFO: Iters: 1340/50000 || Lr: 0.019517 || Task Loss: 0.2127 || KD Loss: 0.0805|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1291|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:11:56 || Estimated Time: 1 day, 19:31:31
2023-07-11 17:02:07,954 semantic_segmentation INFO: Iters: 1350/50000 || Lr: 0.019514 || Task Loss: 0.2006 || KD Loss: 0.0805|| 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: 1:12:28 || Estimated Time: 1 day, 19:30:57
2023-07-11 17:02:40,085 semantic_segmentation INFO: Iters: 1360/50000 || Lr: 0.019510 || Task Loss: 0.2206 || KD Loss: 0.0727|| 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: 1:13:00 || Estimated Time: 1 day, 19:30:23
2023-07-11 17:03:12,269 semantic_segmentation INFO: Iters: 1370/50000 || Lr: 0.019506 || Task Loss: 0.2027 || KD Loss: 0.0682|| 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: 1:13:32 || Estimated Time: 1 day, 19:29:50
2023-07-11 17:03:44,404 semantic_segmentation INFO: Iters: 1380/50000 || Lr: 0.019503 || Task Loss: 0.1916 || KD Loss: 0.0859|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1476|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:14:04 || Estimated Time: 1 day, 19:29:15
2023-07-11 17:04:16,558 semantic_segmentation INFO: Iters: 1390/50000 || Lr: 0.019499 || Task Loss: 0.1997 || KD Loss: 0.0952|| 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: 1:14:36 || Estimated Time: 1 day, 19:28:42
2023-07-11 17:04:48,789 semantic_segmentation INFO: Iters: 1400/50000 || Lr: 0.019496 || Task Loss: 0.2075 || KD Loss: 0.0982|| 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: 1:15:09 || Estimated Time: 1 day, 19:28:11
2023-07-11 17:05:20,933 semantic_segmentation INFO: Iters: 1410/50000 || Lr: 0.019492 || Task Loss: 0.1836 || KD Loss: 0.0805|| 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: 1:15:41 || Estimated Time: 1 day, 19:27:37
2023-07-11 17:05:53,047 semantic_segmentation INFO: Iters: 1420/50000 || Lr: 0.019488 || Task Loss: 0.2164 || KD Loss: 0.0774|| 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: 1:16:13 || Estimated Time: 1 day, 19:27:01
2023-07-11 17:06:25,274 semantic_segmentation INFO: Iters: 1430/50000 || Lr: 0.019485 || Task Loss: 0.2115 || KD Loss: 0.0704|| 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: 1:16:45 || Estimated Time: 1 day, 19:26:30
2023-07-11 17:06:57,494 semantic_segmentation INFO: Iters: 1440/50000 || Lr: 0.019481 || Task Loss: 0.2155 || KD Loss: 0.0720|| 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: 1:17:17 || Estimated Time: 1 day, 19:25:58
2023-07-11 17:07:29,730 semantic_segmentation INFO: Iters: 1450/50000 || Lr: 0.019478 || Task Loss: 0.2165 || KD Loss: 0.0723|| 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: 1:17:49 || Estimated Time: 1 day, 19:25:28
2023-07-11 17:08:01,934 semantic_segmentation INFO: Iters: 1460/50000 || Lr: 0.019474 || Task Loss: 0.2084 || KD Loss: 0.0912|| 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: 1:18:22 || Estimated Time: 1 day, 19:24:56
2023-07-11 17:08:34,223 semantic_segmentation INFO: Iters: 1470/50000 || Lr: 0.019470 || Task Loss: 0.1922 || KD Loss: 0.0713|| 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: 1:18:54 || Estimated Time: 1 day, 19:24:26
2023-07-11 17:09:06,717 semantic_segmentation INFO: Iters: 1480/50000 || Lr: 0.019467 || Task Loss: 0.2130 || KD Loss: 0.0781|| 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: 1:19:26 || Estimated Time: 1 day, 19:24:04
2023-07-11 17:09:38,918 semantic_segmentation INFO: Iters: 1490/50000 || Lr: 0.019463 || Task Loss: 0.1992 || KD Loss: 0.0668|| 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: 1:19:59 || Estimated Time: 1 day, 19:23:31
2023-07-11 17:10:11,098 semantic_segmentation INFO: Iters: 1500/50000 || Lr: 0.019460 || Task Loss: 0.1830 || KD Loss: 0.0750|| 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: 1:20:31 || Estimated Time: 1 day, 19:23:00
2023-07-11 17:10:43,254 semantic_segmentation INFO: Iters: 1510/50000 || Lr: 0.019456 || Task Loss: 0.1834 || KD Loss: 0.0669|| 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: 1:21:03 || Estimated Time: 1 day, 19:22:26
2023-07-11 17:11:15,506 semantic_segmentation INFO: Iters: 1520/50000 || Lr: 0.019452 || Task Loss: 0.2164 || KD Loss: 0.0896|| 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: 1:21:35 || Estimated Time: 1 day, 19:21:54
2023-07-11 17:11:47,664 semantic_segmentation INFO: Iters: 1530/50000 || Lr: 0.019449 || Task Loss: 0.1824 || KD Loss: 0.0748|| 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: 1:22:07 || Estimated Time: 1 day, 19:21:20
2023-07-11 17:12:19,887 semantic_segmentation INFO: Iters: 1540/50000 || Lr: 0.019445 || Task Loss: 0.1999 || KD Loss: 0.0743|| 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: 1:22:40 || Estimated Time: 1 day, 19:20:49
2023-07-11 17:12:52,038 semantic_segmentation INFO: Iters: 1550/50000 || Lr: 0.019441 || Task Loss: 0.1959 || KD Loss: 0.0723|| 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: 1:23:12 || Estimated Time: 1 day, 19:20:15
2023-07-11 17:13:24,191 semantic_segmentation INFO: Iters: 1560/50000 || Lr: 0.019438 || Task Loss: 0.1858 || KD Loss: 0.0738|| 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: 1:23:44 || Estimated Time: 1 day, 19:19:41
2023-07-11 17:13:56,337 semantic_segmentation INFO: Iters: 1570/50000 || Lr: 0.019434 || Task Loss: 0.1878 || KD Loss: 0.0695|| 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: 1:24:16 || Estimated Time: 1 day, 19:19:08
2023-07-11 17:14:28,507 semantic_segmentation INFO: Iters: 1580/50000 || Lr: 0.019431 || Task Loss: 0.2056 || KD Loss: 0.0785|| 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: 1:24:48 || Estimated Time: 1 day, 19:18:34
2023-07-11 17:15:00,572 semantic_segmentation INFO: Iters: 1590/50000 || Lr: 0.019427 || Task Loss: 0.2021 || KD Loss: 0.0722|| 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: 1:25:20 || Estimated Time: 1 day, 19:17:58
2023-07-11 17:15:32,726 semantic_segmentation INFO: Iters: 1600/50000 || Lr: 0.019423 || Task Loss: 0.1871 || KD Loss: 0.0676|| 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: 1:25:52 || Estimated Time: 1 day, 19:17:25
2023-07-11 17:15:32,828 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 17:15:33,040 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.952, mIoU: 0.682
2023-07-11 17:15:33,061 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.953, mIoU: 0.686
2023-07-11 17:15:33,074 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.954, mIoU: 0.685
2023-07-11 17:15:33,086 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.954, mIoU: 0.683
2023-07-11 17:15:33,099 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.953, mIoU: 0.679
2023-07-11 17:15:33,112 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-11 17:15:33,124 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.954, mIoU: 0.680
2023-07-11 17:15:33,137 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.952, mIoU: 0.676
2023-07-11 17:15:33,149 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.950, mIoU: 0.672
2023-07-11 17:15:33,161 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.950, mIoU: 0.673
2023-07-11 17:15:33,173 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.950, mIoU: 0.675
2023-07-11 17:15:33,185 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.949, mIoU: 0.672
2023-07-11 17:15:33,198 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.950, mIoU: 0.676
2023-07-11 17:15:33,211 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.950, mIoU: 0.678
2023-07-11 17:15:33,224 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.950, mIoU: 0.680
2023-07-11 17:15:33,237 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.951, mIoU: 0.682
2023-07-11 17:15:33,250 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.951, mIoU: 0.682
2023-07-11 17:15:33,262 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.950, mIoU: 0.683
2023-07-11 17:15:33,275 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.950, mIoU: 0.683
2023-07-11 17:15:33,287 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.949, mIoU: 0.683
2023-07-11 17:15:33,300 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.949, mIoU: 0.684
2023-07-11 17:15:33,315 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.949, mIoU: 0.684
2023-07-11 17:15:33,327 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.949, mIoU: 0.685
2023-07-11 17:15:33,340 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.949, mIoU: 0.685
2023-07-11 17:15:33,353 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.949, mIoU: 0.685
2023-07-11 17:15:33,366 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.949, mIoU: 0.686
2023-07-11 17:15:33,378 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.950, mIoU: 0.686
2023-07-11 17:15:33,391 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.950, mIoU: 0.686
2023-07-11 17:15:33,404 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.950, mIoU: 0.688
2023-07-11 17:15:33,417 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.950, mIoU: 0.689
2023-07-11 17:15:33,429 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.950, mIoU: 0.690
2023-07-11 17:15:33,442 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.950, mIoU: 0.691
2023-07-11 17:15:33,455 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.950, mIoU: 0.691
2023-07-11 17:15:33,469 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.950, mIoU: 0.692
2023-07-11 17:15:33,482 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.950, mIoU: 0.693
2023-07-11 17:15:33,494 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.949, mIoU: 0.693
2023-07-11 17:15:33,507 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.949, mIoU: 0.694
2023-07-11 17:15:33,521 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.949, mIoU: 0.696
2023-07-11 17:15:33,534 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.949, mIoU: 0.696
2023-07-11 17:15:33,546 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.949, mIoU: 0.697
2023-07-11 17:15:33,559 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.949, mIoU: 0.698
2023-07-11 17:15:33,572 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.949, mIoU: 0.699
2023-07-11 17:15:33,584 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.949, mIoU: 0.701
2023-07-11 17:15:33,597 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.949, mIoU: 0.702
2023-07-11 17:15:33,610 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.948, mIoU: 0.703
2023-07-11 17:15:33,624 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.949, mIoU: 0.705
2023-07-11 17:15:33,637 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.949, mIoU: 0.706
2023-07-11 17:15:33,649 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-11 17:15:33,662 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.949, mIoU: 0.708
2023-07-11 17:15:33,675 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.948, mIoU: 0.709
2023-07-11 17:15:33,688 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.948, mIoU: 0.710
2023-07-11 17:15:33,701 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.947, mIoU: 0.711
2023-07-11 17:15:33,713 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.947, mIoU: 0.712
2023-07-11 17:15:33,726 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.947, mIoU: 0.714
2023-07-11 17:15:33,739 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.946, mIoU: 0.714
2023-07-11 17:15:33,751 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.946, mIoU: 0.715
2023-07-11 17:15:33,764 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.945, mIoU: 0.716
2023-07-11 17:15:33,777 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.945, mIoU: 0.717
2023-07-11 17:15:33,789 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.945, mIoU: 0.718
2023-07-11 17:15:33,802 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.945, mIoU: 0.719
2023-07-11 17:15:33,815 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.944, mIoU: 0.720
2023-07-11 17:15:33,829 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.944, mIoU: 0.720
2023-07-11 17:15:33,843 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.944, mIoU: 0.721
2023-07-11 17:15:33,856 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.943, mIoU: 0.722
2023-07-11 17:15:33,870 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.943, mIoU: 0.722
2023-07-11 17:15:33,883 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.942, mIoU: 0.723
2023-07-11 17:15:33,896 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.942, mIoU: 0.724
2023-07-11 17:15:33,910 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.941, mIoU: 0.725
2023-07-11 17:15:33,923 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.941, mIoU: 0.725
2023-07-11 17:15:33,936 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.941, mIoU: 0.726
2023-07-11 17:15:33,950 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.940, mIoU: 0.726
2023-07-11 17:15:33,963 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.940, mIoU: 0.727
2023-07-11 17:15:33,976 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.940, mIoU: 0.727
2023-07-11 17:15:33,989 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.939, mIoU: 0.726
2023-07-11 17:15:34,003 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.939, mIoU: 0.726
2023-07-11 17:15:34,017 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.939, mIoU: 0.726
2023-07-11 17:15:34,032 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.939, mIoU: 0.725
2023-07-11 17:15:34,046 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.939, mIoU: 0.725
2023-07-11 17:15:34,060 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.938, mIoU: 0.725
2023-07-11 17:15:34,073 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.938, mIoU: 0.725
2023-07-11 17:15:34,086 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.938, mIoU: 0.725
2023-07-11 17:15:34,100 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.938, mIoU: 0.724
2023-07-11 17:15:34,113 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.938, mIoU: 0.724
2023-07-11 17:15:34,126 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.937, mIoU: 0.723
2023-07-11 17:15:34,139 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.937, mIoU: 0.723
2023-07-11 17:15:34,152 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.937, mIoU: 0.723
2023-07-11 17:15:34,165 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.937, mIoU: 0.723
2023-07-11 17:15:34,179 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.937, mIoU: 0.722
2023-07-11 17:15:34,192 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.937, mIoU: 0.721
2023-07-11 17:15:34,205 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.937, mIoU: 0.720
2023-07-11 17:15:34,219 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.937, mIoU: 0.719
2023-07-11 17:15:34,232 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.937, mIoU: 0.719
2023-07-11 17:15:34,245 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.937, mIoU: 0.719
2023-07-11 17:15:34,258 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.937, mIoU: 0.719
2023-07-11 17:15:34,271 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.938, mIoU: 0.719
2023-07-11 17:15:34,284 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.938, mIoU: 0.719
2023-07-11 17:15:34,297 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.938, mIoU: 0.719
2023-07-11 17:15:34,310 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.938, mIoU: 0.719
2023-07-11 17:15:34,323 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.938, mIoU: 0.719
2023-07-11 17:15:34,337 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.938, mIoU: 0.719
2023-07-11 17:15:34,350 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.939, mIoU: 0.719
2023-07-11 17:16:06,754 semantic_segmentation INFO: Iters: 1610/50000 || Lr: 0.019420 || Task Loss: 0.2137 || KD Loss: 0.0781|| 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: 1:26:27 || Estimated Time: 1 day, 19:17:47
2023-07-11 17:16:38,816 semantic_segmentation INFO: Iters: 1620/50000 || Lr: 0.019416 || Task Loss: 0.1773 || KD Loss: 0.0667|| 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: 1:26:59 || Estimated Time: 1 day, 19:17:11
2023-07-11 17:17:11,154 semantic_segmentation INFO: Iters: 1630/50000 || Lr: 0.019413 || Task Loss: 0.2115 || KD Loss: 0.0778|| 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: 1:27:31 || Estimated Time: 1 day, 19:16:43
2023-07-11 17:17:43,305 semantic_segmentation INFO: Iters: 1640/50000 || Lr: 0.019409 || Task Loss: 0.1944 || KD Loss: 0.0851|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1411|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:28:03 || Estimated Time: 1 day, 19:16:09
2023-07-11 17:18:15,522 semantic_segmentation INFO: Iters: 1650/50000 || Lr: 0.019405 || Task Loss: 0.2024 || KD Loss: 0.0793|| 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: 1:28:35 || Estimated Time: 1 day, 19:15:37
2023-07-11 17:18:47,752 semantic_segmentation INFO: Iters: 1660/50000 || Lr: 0.019402 || Task Loss: 0.2200 || KD Loss: 0.0710|| 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: 1:29:08 || Estimated Time: 1 day, 19:15:04
2023-07-11 17:19:20,029 semantic_segmentation INFO: Iters: 1670/50000 || Lr: 0.019398 || Task Loss: 0.1926 || KD Loss: 0.0667|| 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: 1:29:40 || Estimated Time: 1 day, 19:14:35
2023-07-11 17:19:52,246 semantic_segmentation INFO: Iters: 1680/50000 || Lr: 0.019395 || Task Loss: 0.1745 || KD Loss: 0.0686|| 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: 1:30:12 || Estimated Time: 1 day, 19:14:02
2023-07-11 17:20:24,391 semantic_segmentation INFO: Iters: 1690/50000 || Lr: 0.019391 || Task Loss: 0.1538 || KD Loss: 0.0651|| 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: 1:30:44 || Estimated Time: 1 day, 19:13:28
2023-07-11 17:20:56,503 semantic_segmentation INFO: Iters: 1700/50000 || Lr: 0.019387 || Task Loss: 0.2355 || KD Loss: 0.0911|| 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: 1:31:16 || Estimated Time: 1 day, 19:12:53
2023-07-11 17:21:28,523 semantic_segmentation INFO: Iters: 1710/50000 || Lr: 0.019384 || Task Loss: 0.1665 || KD Loss: 0.0657|| 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: 1:31:48 || Estimated Time: 1 day, 19:12:16
2023-07-11 17:22:00,684 semantic_segmentation INFO: Iters: 1720/50000 || Lr: 0.019380 || Task Loss: 0.1753 || KD Loss: 0.0756|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1371|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:32:20 || Estimated Time: 1 day, 19:11:42
2023-07-11 17:22:32,809 semantic_segmentation INFO: Iters: 1730/50000 || Lr: 0.019376 || Task Loss: 0.2107 || KD Loss: 0.0840|| 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: 1:32:53 || Estimated Time: 1 day, 19:11:07
2023-07-11 17:23:04,988 semantic_segmentation INFO: Iters: 1740/50000 || Lr: 0.019373 || Task Loss: 0.1640 || KD Loss: 0.0660|| 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: 1:33:25 || Estimated Time: 1 day, 19:10:35
2023-07-11 17:23:37,168 semantic_segmentation INFO: Iters: 1750/50000 || Lr: 0.019369 || Task Loss: 0.1571 || KD Loss: 0.0640|| 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: 1:33:57 || Estimated Time: 1 day, 19:10:03
2023-07-11 17:24:09,334 semantic_segmentation INFO: Iters: 1760/50000 || Lr: 0.019366 || Task Loss: 0.1814 || KD Loss: 0.0657|| 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: 1:34:29 || Estimated Time: 1 day, 19:09:29
2023-07-11 17:24:41,483 semantic_segmentation INFO: Iters: 1770/50000 || Lr: 0.019362 || Task Loss: 0.1806 || KD Loss: 0.0685|| 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: 1:35:01 || Estimated Time: 1 day, 19:08:55
2023-07-11 17:25:13,741 semantic_segmentation INFO: Iters: 1780/50000 || Lr: 0.019358 || Task Loss: 0.1639 || KD Loss: 0.0666|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1297|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:35:34 || Estimated Time: 1 day, 19:08:24
2023-07-11 17:25:45,925 semantic_segmentation INFO: Iters: 1790/50000 || Lr: 0.019355 || Task Loss: 0.1901 || KD Loss: 0.0703|| 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: 1:36:06 || Estimated Time: 1 day, 19:07:50
2023-07-11 17:26:18,148 semantic_segmentation INFO: Iters: 1800/50000 || Lr: 0.019351 || Task Loss: 0.1884 || KD Loss: 0.0716|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1311|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:36:38 || Estimated Time: 1 day, 19:07:20
2023-07-11 17:26:50,347 semantic_segmentation INFO: Iters: 1810/50000 || Lr: 0.019348 || Task Loss: 0.1620 || KD Loss: 0.0685|| 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: 1:37:10 || Estimated Time: 1 day, 19:06:47
2023-07-11 17:27:22,523 semantic_segmentation INFO: Iters: 1820/50000 || Lr: 0.019344 || Task Loss: 0.1861 || KD Loss: 0.0718|| 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: 1:37:42 || Estimated Time: 1 day, 19:06:14
2023-07-11 17:27:54,739 semantic_segmentation INFO: Iters: 1830/50000 || Lr: 0.019340 || Task Loss: 0.1908 || KD Loss: 0.0787|| 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: 1:38:14 || Estimated Time: 1 day, 19:05:41
2023-07-11 17:28:26,963 semantic_segmentation INFO: Iters: 1840/50000 || Lr: 0.019337 || Task Loss: 0.2021 || KD Loss: 0.0706|| 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: 1:38:47 || Estimated Time: 1 day, 19:05:11
2023-07-11 17:28:59,253 semantic_segmentation INFO: Iters: 1850/50000 || Lr: 0.019333 || Task Loss: 0.1702 || KD Loss: 0.0643|| 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: 1:39:19 || Estimated Time: 1 day, 19:04:39
2023-07-11 17:29:31,479 semantic_segmentation INFO: Iters: 1860/50000 || Lr: 0.019329 || Task Loss: 0.2370 || KD Loss: 0.0727|| 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: 1:39:51 || Estimated Time: 1 day, 19:04:08
2023-07-11 17:30:03,713 semantic_segmentation INFO: Iters: 1870/50000 || Lr: 0.019326 || Task Loss: 0.1829 || KD Loss: 0.0685|| 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: 1:40:23 || Estimated Time: 1 day, 19:03:37
2023-07-11 17:30:35,979 semantic_segmentation INFO: Iters: 1880/50000 || Lr: 0.019322 || Task Loss: 0.1785 || KD Loss: 0.0634|| 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: 1:40:56 || Estimated Time: 1 day, 19:03:06
2023-07-11 17:31:08,225 semantic_segmentation INFO: Iters: 1890/50000 || Lr: 0.019319 || Task Loss: 0.2236 || KD Loss: 0.0697|| 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: 1:41:28 || Estimated Time: 1 day, 19:02:35
2023-07-11 17:31:40,408 semantic_segmentation INFO: Iters: 1900/50000 || Lr: 0.019315 || Task Loss: 0.1697 || KD Loss: 0.0609|| 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: 1:42:00 || Estimated Time: 1 day, 19:02:02
2023-07-11 17:32:12,649 semantic_segmentation INFO: Iters: 1910/50000 || Lr: 0.019311 || Task Loss: 0.1799 || KD Loss: 0.0625|| 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: 1:42:32 || Estimated Time: 1 day, 19:01:31
2023-07-11 17:32:45,378 semantic_segmentation INFO: Iters: 1920/50000 || Lr: 0.019308 || Task Loss: 0.1568 || KD Loss: 0.0640|| 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: 1:43:05 || Estimated Time: 1 day, 19:01:11
2023-07-11 17:33:17,896 semantic_segmentation INFO: Iters: 1930/50000 || Lr: 0.019304 || Task Loss: 0.1966 || KD Loss: 0.0619|| 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: 1:43:38 || Estimated Time: 1 day, 19:00:47
2023-07-11 17:33:50,141 semantic_segmentation INFO: Iters: 1940/50000 || Lr: 0.019301 || Task Loss: 0.1593 || KD Loss: 0.0631|| 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: 1:44:10 || Estimated Time: 1 day, 19:00:16
2023-07-11 17:34:22,455 semantic_segmentation INFO: Iters: 1950/50000 || Lr: 0.019297 || Task Loss: 0.1630 || KD Loss: 0.0680|| 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: 1:44:42 || Estimated Time: 1 day, 18:59:45
2023-07-11 17:34:54,782 semantic_segmentation INFO: Iters: 1960/50000 || Lr: 0.019293 || Task Loss: 0.1900 || KD Loss: 0.0644|| 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: 1:45:15 || Estimated Time: 1 day, 18:59:16
2023-07-11 17:35:26,937 semantic_segmentation INFO: Iters: 1970/50000 || Lr: 0.019290 || Task Loss: 0.1831 || KD Loss: 0.0578|| 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: 1:45:47 || Estimated Time: 1 day, 18:58:42
2023-07-11 17:35:59,104 semantic_segmentation INFO: Iters: 1980/50000 || Lr: 0.019286 || Task Loss: 0.2373 || KD Loss: 0.0934|| 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: 1:46:19 || Estimated Time: 1 day, 18:58:09
2023-07-11 17:36:31,204 semantic_segmentation INFO: Iters: 1990/50000 || Lr: 0.019283 || Task Loss: 0.1643 || KD Loss: 0.0636|| 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: 1:46:51 || Estimated Time: 1 day, 18:57:34
2023-07-11 17:37:03,310 semantic_segmentation INFO: Iters: 2000/50000 || Lr: 0.019279 || Task Loss: 0.1623 || KD Loss: 0.0640|| 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: 1:47:23 || Estimated Time: 1 day, 18:57:00
2023-07-11 17:37:35,483 semantic_segmentation INFO: Iters: 2010/50000 || Lr: 0.019275 || Task Loss: 0.1792 || KD Loss: 0.0657|| 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: 1:47:55 || Estimated Time: 1 day, 18:56:26
2023-07-11 17:38:07,642 semantic_segmentation INFO: Iters: 2020/50000 || Lr: 0.019272 || Task Loss: 0.1959 || KD Loss: 0.0680|| 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: 1:48:27 || Estimated Time: 1 day, 18:55:53
2023-07-11 17:38:39,801 semantic_segmentation INFO: Iters: 2030/50000 || Lr: 0.019268 || Task Loss: 0.1804 || KD Loss: 0.0794|| 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: 1:49:00 || Estimated Time: 1 day, 18:55:19
2023-07-11 17:39:11,890 semantic_segmentation INFO: Iters: 2040/50000 || Lr: 0.019264 || Task Loss: 0.1706 || 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: 1:49:32 || Estimated Time: 1 day, 18:54:45
2023-07-11 17:39:43,986 semantic_segmentation INFO: Iters: 2050/50000 || Lr: 0.019261 || Task Loss: 0.1800 || KD Loss: 0.0651|| 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: 1:50:04 || Estimated Time: 1 day, 18:54:09
2023-07-11 17:40:16,175 semantic_segmentation INFO: Iters: 2060/50000 || Lr: 0.019257 || Task Loss: 0.1835 || KD Loss: 0.0570|| 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: 1:50:36 || Estimated Time: 1 day, 18:53:37
2023-07-11 17:40:48,342 semantic_segmentation INFO: Iters: 2070/50000 || Lr: 0.019254 || Task Loss: 0.1581 || KD Loss: 0.0581|| 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: 1:51:08 || Estimated Time: 1 day, 18:53:03
2023-07-11 17:41:20,425 semantic_segmentation INFO: Iters: 2080/50000 || Lr: 0.019250 || Task Loss: 0.1653 || KD Loss: 0.0596|| 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: 1:51:40 || Estimated Time: 1 day, 18:52:28
2023-07-11 17:41:52,499 semantic_segmentation INFO: Iters: 2090/50000 || Lr: 0.019246 || Task Loss: 0.1790 || KD Loss: 0.0620|| 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: 1:52:12 || Estimated Time: 1 day, 18:51:53
2023-07-11 17:42:24,728 semantic_segmentation INFO: Iters: 2100/50000 || Lr: 0.019243 || Task Loss: 0.1554 || KD Loss: 0.0683|| 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: 1:52:44 || Estimated Time: 1 day, 18:51:21
2023-07-11 17:42:56,908 semantic_segmentation INFO: Iters: 2110/50000 || Lr: 0.019239 || Task Loss: 0.1493 || KD Loss: 0.0608|| 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: 1:53:17 || Estimated Time: 1 day, 18:50:48
2023-07-11 17:43:29,066 semantic_segmentation INFO: Iters: 2120/50000 || Lr: 0.019236 || Task Loss: 0.1774 || KD Loss: 0.0636|| 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: 1:53:49 || Estimated Time: 1 day, 18:50:15
2023-07-11 17:44:01,058 semantic_segmentation INFO: Iters: 2130/50000 || Lr: 0.019232 || Task Loss: 0.1599 || KD Loss: 0.0695|| 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: 1:54:21 || Estimated Time: 1 day, 18:49:39
2023-07-11 17:44:33,184 semantic_segmentation INFO: Iters: 2140/50000 || Lr: 0.019228 || Task Loss: 0.1477 || KD Loss: 0.0583|| 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: 1:54:53 || Estimated Time: 1 day, 18:49:04
2023-07-11 17:45:05,261 semantic_segmentation INFO: Iters: 2150/50000 || Lr: 0.019225 || Task Loss: 0.1996 || KD Loss: 0.0586|| 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: 1:55:25 || Estimated Time: 1 day, 18:48:29
2023-07-11 17:45:37,295 semantic_segmentation INFO: Iters: 2160/50000 || Lr: 0.019221 || Task Loss: 0.1627 || KD Loss: 0.0560|| 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: 1:55:57 || Estimated Time: 1 day, 18:47:53
2023-07-11 17:46:09,513 semantic_segmentation INFO: Iters: 2170/50000 || Lr: 0.019217 || Task Loss: 0.1635 || KD Loss: 0.0629|| 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: 1:56:29 || Estimated Time: 1 day, 18:47:21
2023-07-11 17:46:41,666 semantic_segmentation INFO: Iters: 2180/50000 || Lr: 0.019214 || Task Loss: 0.1629 || KD Loss: 0.0697|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1339|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1:57:01 || Estimated Time: 1 day, 18:46:47
2023-07-11 17:47:13,719 semantic_segmentation INFO: Iters: 2190/50000 || Lr: 0.019210 || Task Loss: 0.1777 || KD Loss: 0.0674|| 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: 1:57:33 || Estimated Time: 1 day, 18:46:12
2023-07-11 17:47:45,893 semantic_segmentation INFO: Iters: 2200/50000 || Lr: 0.019207 || Task Loss: 0.1610 || KD Loss: 0.0649|| 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: 1:58:06 || Estimated Time: 1 day, 18:45:39
2023-07-11 17:48:18,068 semantic_segmentation INFO: Iters: 2210/50000 || Lr: 0.019203 || Task Loss: 0.1718 || KD Loss: 0.0613|| 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: 1:58:38 || Estimated Time: 1 day, 18:45:06
2023-07-11 17:48:50,195 semantic_segmentation INFO: Iters: 2220/50000 || Lr: 0.019199 || Task Loss: 0.1869 || KD Loss: 0.0634|| 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: 1:59:10 || Estimated Time: 1 day, 18:44:32
2023-07-11 17:49:22,330 semantic_segmentation INFO: Iters: 2230/50000 || Lr: 0.019196 || Task Loss: 0.1890 || KD Loss: 0.0733|| 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: 1:59:42 || Estimated Time: 1 day, 18:43:59
2023-07-11 17:49:54,430 semantic_segmentation INFO: Iters: 2240/50000 || Lr: 0.019192 || Task Loss: 0.1897 || KD Loss: 0.0592|| 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: 2:00:14 || Estimated Time: 1 day, 18:43:24
2023-07-11 17:50:26,624 semantic_segmentation INFO: Iters: 2250/50000 || Lr: 0.019189 || Task Loss: 0.1746 || KD Loss: 0.0526|| 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: 2:00:46 || Estimated Time: 1 day, 18:42:51
2023-07-11 17:50:58,777 semantic_segmentation INFO: Iters: 2260/50000 || Lr: 0.019185 || Task Loss: 0.1686 || KD Loss: 0.0619|| 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: 2:01:19 || Estimated Time: 1 day, 18:42:18
2023-07-11 17:51:30,949 semantic_segmentation INFO: Iters: 2270/50000 || Lr: 0.019181 || Task Loss: 0.1778 || KD Loss: 0.0683|| 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: 2:01:51 || Estimated Time: 1 day, 18:41:46
2023-07-11 17:52:03,095 semantic_segmentation INFO: Iters: 2280/50000 || Lr: 0.019178 || Task Loss: 0.1843 || KD Loss: 0.0590|| 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: 2:02:23 || Estimated Time: 1 day, 18:41:12
2023-07-11 17:52:35,194 semantic_segmentation INFO: Iters: 2290/50000 || Lr: 0.019174 || Task Loss: 0.1931 || KD Loss: 0.0860|| 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: 2:02:55 || Estimated Time: 1 day, 18:40:38
2023-07-11 17:53:07,293 semantic_segmentation INFO: Iters: 2300/50000 || Lr: 0.019170 || Task Loss: 0.1759 || KD Loss: 0.0699|| 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: 2:03:27 || Estimated Time: 1 day, 18:40:04
2023-07-11 17:53:39,339 semantic_segmentation INFO: Iters: 2310/50000 || Lr: 0.019167 || Task Loss: 0.1708 || KD Loss: 0.0738|| 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: 2:03:59 || Estimated Time: 1 day, 18:39:28
2023-07-11 17:54:11,483 semantic_segmentation INFO: Iters: 2320/50000 || Lr: 0.019163 || Task Loss: 0.1766 || KD Loss: 0.0561|| 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: 2:04:31 || Estimated Time: 1 day, 18:38:54
2023-07-11 17:54:43,528 semantic_segmentation INFO: Iters: 2330/50000 || Lr: 0.019160 || Task Loss: 0.1760 || KD Loss: 0.0690|| 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: 2:05:03 || Estimated Time: 1 day, 18:38:19
2023-07-11 17:55:16,064 semantic_segmentation INFO: Iters: 2340/50000 || Lr: 0.019156 || Task Loss: 0.1708 || KD Loss: 0.0617|| 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: 2:05:36 || Estimated Time: 1 day, 18:37:53
2023-07-11 17:55:48,603 semantic_segmentation INFO: Iters: 2350/50000 || Lr: 0.019152 || Task Loss: 0.1770 || KD Loss: 0.0635|| 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: 2:06:08 || Estimated Time: 1 day, 18:37:28
2023-07-11 17:56:20,775 semantic_segmentation INFO: Iters: 2360/50000 || Lr: 0.019149 || Task Loss: 0.1562 || KD Loss: 0.0569|| 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: 2:06:41 || Estimated Time: 1 day, 18:36:56
2023-07-11 17:56:52,908 semantic_segmentation INFO: Iters: 2370/50000 || Lr: 0.019145 || Task Loss: 0.1910 || KD Loss: 0.0596|| 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: 2:07:13 || Estimated Time: 1 day, 18:36:22
2023-07-11 17:57:25,162 semantic_segmentation INFO: Iters: 2380/50000 || Lr: 0.019141 || Task Loss: 0.1581 || KD Loss: 0.0629|| 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: 2:07:45 || Estimated Time: 1 day, 18:35:51
2023-07-11 17:57:57,373 semantic_segmentation INFO: Iters: 2390/50000 || Lr: 0.019138 || Task Loss: 0.1487 || KD Loss: 0.0551|| 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: 2:08:17 || Estimated Time: 1 day, 18:35:19
2023-07-11 17:58:29,542 semantic_segmentation INFO: Iters: 2400/50000 || Lr: 0.019134 || Task Loss: 0.1645 || KD Loss: 0.0565|| 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: 2:08:49 || Estimated Time: 1 day, 18:34:46
2023-07-11 17:58:29,757 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 17:58:29,950 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.955, mIoU: 0.692
2023-07-11 17:58:29,971 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.956, mIoU: 0.699
2023-07-11 17:58:29,984 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.957, mIoU: 0.700
2023-07-11 17:58:29,996 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.957, mIoU: 0.698
2023-07-11 17:58:30,008 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-11 17:58:30,020 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.957, mIoU: 0.698
2023-07-11 17:58:30,032 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.957, mIoU: 0.698
2023-07-11 17:58:30,045 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.956, mIoU: 0.694
2023-07-11 17:58:30,058 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.954, mIoU: 0.689
2023-07-11 17:58:30,070 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.954, mIoU: 0.688
2023-07-11 17:58:30,082 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.954, mIoU: 0.691
2023-07-11 17:58:30,094 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.953, mIoU: 0.691
2023-07-11 17:58:30,106 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.954, mIoU: 0.695
2023-07-11 17:58:30,118 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.954, mIoU: 0.698
2023-07-11 17:58:30,130 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.954, mIoU: 0.699
2023-07-11 17:58:30,142 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.955, mIoU: 0.701
2023-07-11 17:58:30,155 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.955, mIoU: 0.703
2023-07-11 17:58:30,167 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.955, mIoU: 0.705
2023-07-11 17:58:30,179 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.954, mIoU: 0.704
2023-07-11 17:58:30,192 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.705
2023-07-11 17:58:30,205 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.707
2023-07-11 17:58:30,217 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.954, mIoU: 0.707
2023-07-11 17:58:30,230 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.707
2023-07-11 17:58:30,242 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.706
2023-07-11 17:58:30,255 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.954, mIoU: 0.705
2023-07-11 17:58:30,268 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.704
2023-07-11 17:58:30,280 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.704
2023-07-11 17:58:30,293 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.703
2023-07-11 17:58:30,306 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.955, mIoU: 0.704
2023-07-11 17:58:30,318 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.955, mIoU: 0.704
2023-07-11 17:58:30,331 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.955, mIoU: 0.705
2023-07-11 17:58:30,343 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.706
2023-07-11 17:58:30,356 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.705
2023-07-11 17:58:30,369 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.705
2023-07-11 17:58:30,381 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.706
2023-07-11 17:58:30,394 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.706
2023-07-11 17:58:30,406 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.707
2023-07-11 17:58:30,419 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.709
2023-07-11 17:58:30,431 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.710
2023-07-11 17:58:30,444 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.953, mIoU: 0.712
2023-07-11 17:58:30,457 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.953, mIoU: 0.713
2023-07-11 17:58:30,470 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.714
2023-07-11 17:58:30,482 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.716
2023-07-11 17:58:30,495 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.717
2023-07-11 17:58:30,508 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.953, mIoU: 0.718
2023-07-11 17:58:30,521 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.953, mIoU: 0.719
2023-07-11 17:58:30,533 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.953, mIoU: 0.721
2023-07-11 17:58:30,546 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.953, mIoU: 0.722
2023-07-11 17:58:30,559 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.953, mIoU: 0.723
2023-07-11 17:58:30,572 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.952, mIoU: 0.723
2023-07-11 17:58:30,584 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.952, mIoU: 0.723
2023-07-11 17:58:30,597 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.951, mIoU: 0.724
2023-07-11 17:58:30,610 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.951, mIoU: 0.725
2023-07-11 17:58:30,623 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.951, mIoU: 0.726
2023-07-11 17:58:30,635 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.950, mIoU: 0.727
2023-07-11 17:58:30,648 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.950, mIoU: 0.727
2023-07-11 17:58:30,661 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.950, mIoU: 0.728
2023-07-11 17:58:30,674 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.949, mIoU: 0.728
2023-07-11 17:58:30,686 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.949, mIoU: 0.729
2023-07-11 17:58:30,699 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.949, mIoU: 0.730
2023-07-11 17:58:30,712 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.949, mIoU: 0.730
2023-07-11 17:58:30,725 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.948, mIoU: 0.731
2023-07-11 17:58:30,737 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.948, mIoU: 0.731
2023-07-11 17:58:30,750 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.948, mIoU: 0.732
2023-07-11 17:58:30,763 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.947, mIoU: 0.732
2023-07-11 17:58:30,776 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.947, mIoU: 0.733
2023-07-11 17:58:30,788 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.946, mIoU: 0.733
2023-07-11 17:58:30,801 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.946, mIoU: 0.734
2023-07-11 17:58:30,814 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.945, mIoU: 0.735
2023-07-11 17:58:30,827 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.945, mIoU: 0.735
2023-07-11 17:58:30,839 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.945, mIoU: 0.736
2023-07-11 17:58:30,852 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.945, mIoU: 0.736
2023-07-11 17:58:30,865 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:30,878 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.944, mIoU: 0.737
2023-07-11 17:58:30,891 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:30,904 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:30,917 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:30,930 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:30,942 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 17:58:30,955 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 17:58:30,968 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 17:58:30,981 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 17:58:30,994 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 17:58:31,007 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.942, mIoU: 0.735
2023-07-11 17:58:31,020 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.942, mIoU: 0.735
2023-07-11 17:58:31,033 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.942, mIoU: 0.735
2023-07-11 17:58:31,047 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.942, mIoU: 0.735
2023-07-11 17:58:31,060 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.942, mIoU: 0.735
2023-07-11 17:58:31,074 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.942, mIoU: 0.735
2023-07-11 17:58:31,087 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.942, mIoU: 0.735
2023-07-11 17:58:31,101 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.942, mIoU: 0.734
2023-07-11 17:58:31,114 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.943, mIoU: 0.735
2023-07-11 17:58:31,127 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.943, mIoU: 0.735
2023-07-11 17:58:31,140 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.943, mIoU: 0.735
2023-07-11 17:58:31,153 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.943, mIoU: 0.735
2023-07-11 17:58:31,166 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.943, mIoU: 0.735
2023-07-11 17:58:31,179 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:31,193 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:31,205 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:31,218 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:58:31,231 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 17:59:03,776 semantic_segmentation INFO: Iters: 2410/50000 || Lr: 0.019131 || Task Loss: 0.1523 || KD Loss: 0.0604|| 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: 2:09:24 || Estimated Time: 1 day, 18:34:54
2023-07-11 17:59:35,994 semantic_segmentation INFO: Iters: 2420/50000 || Lr: 0.019127 || Task Loss: 0.1665 || KD Loss: 0.0555|| 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: 2:09:56 || Estimated Time: 1 day, 18:34:22
2023-07-11 18:00:08,200 semantic_segmentation INFO: Iters: 2430/50000 || Lr: 0.019123 || Task Loss: 0.1600 || KD Loss: 0.0568|| 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: 2:10:28 || Estimated Time: 1 day, 18:33:49
2023-07-11 18:00:40,437 semantic_segmentation INFO: Iters: 2440/50000 || Lr: 0.019120 || Task Loss: 0.1637 || KD Loss: 0.0567|| 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: 2:11:00 || Estimated Time: 1 day, 18:33:17
2023-07-11 18:01:12,765 semantic_segmentation INFO: Iters: 2450/50000 || Lr: 0.019116 || Task Loss: 0.1663 || KD Loss: 0.0634|| 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: 2:11:33 || Estimated Time: 1 day, 18:32:47
2023-07-11 18:01:45,154 semantic_segmentation INFO: Iters: 2460/50000 || Lr: 0.019113 || Task Loss: 0.1771 || KD Loss: 0.0526|| 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: 2:12:05 || Estimated Time: 1 day, 18:32:19
2023-07-11 18:02:17,499 semantic_segmentation INFO: Iters: 2470/50000 || Lr: 0.019109 || Task Loss: 0.1594 || KD Loss: 0.0688|| 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: 2:12:37 || Estimated Time: 1 day, 18:31:49
2023-07-11 18:02:49,911 semantic_segmentation INFO: Iters: 2480/50000 || Lr: 0.019105 || Task Loss: 0.2075 || KD Loss: 0.0719|| 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: 2:13:10 || Estimated Time: 1 day, 18:31:20
2023-07-11 18:03:22,317 semantic_segmentation INFO: Iters: 2490/50000 || Lr: 0.019102 || Task Loss: 0.1644 || KD Loss: 0.0638|| 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: 2:13:42 || Estimated Time: 1 day, 18:30:52
2023-07-11 18:03:54,754 semantic_segmentation INFO: Iters: 2500/50000 || Lr: 0.019098 || Task Loss: 0.1861 || KD Loss: 0.0698|| 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: 2:14:15 || Estimated Time: 1 day, 18:30:24
2023-07-11 18:04:27,138 semantic_segmentation INFO: Iters: 2510/50000 || Lr: 0.019094 || Task Loss: 0.1577 || KD Loss: 0.0678|| 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: 2:14:47 || Estimated Time: 1 day, 18:29:55
2023-07-11 18:04:59,552 semantic_segmentation INFO: Iters: 2520/50000 || Lr: 0.019091 || Task Loss: 0.1794 || KD Loss: 0.0824|| 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: 2:15:19 || Estimated Time: 1 day, 18:29:26
2023-07-11 18:05:32,006 semantic_segmentation INFO: Iters: 2530/50000 || Lr: 0.019087 || Task Loss: 0.1722 || KD Loss: 0.0677|| 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: 2:15:52 || Estimated Time: 1 day, 18:28:59
2023-07-11 18:06:04,441 semantic_segmentation INFO: Iters: 2540/50000 || Lr: 0.019084 || Task Loss: 0.1529 || KD Loss: 0.0578|| 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: 2:16:24 || Estimated Time: 1 day, 18:28:30
2023-07-11 18:06:36,922 semantic_segmentation INFO: Iters: 2550/50000 || Lr: 0.019080 || Task Loss: 0.1586 || KD Loss: 0.0601|| 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: 2:16:57 || Estimated Time: 1 day, 18:28:03
2023-07-11 18:07:09,322 semantic_segmentation INFO: Iters: 2560/50000 || Lr: 0.019076 || Task Loss: 0.1523 || KD Loss: 0.0592|| 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: 2:17:29 || Estimated Time: 1 day, 18:27:34
2023-07-11 18:07:41,741 semantic_segmentation INFO: Iters: 2570/50000 || Lr: 0.019073 || Task Loss: 0.2047 || KD Loss: 0.0651|| 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: 2:18:02 || Estimated Time: 1 day, 18:27:06
2023-07-11 18:08:14,122 semantic_segmentation INFO: Iters: 2580/50000 || Lr: 0.019069 || Task Loss: 0.1565 || KD Loss: 0.0617|| 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: 2:18:34 || Estimated Time: 1 day, 18:26:37
2023-07-11 18:08:46,458 semantic_segmentation INFO: Iters: 2590/50000 || Lr: 0.019065 || Task Loss: 0.1639 || KD Loss: 0.0556|| 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: 2:19:06 || Estimated Time: 1 day, 18:26:06
2023-07-11 18:09:18,744 semantic_segmentation INFO: Iters: 2600/50000 || Lr: 0.019062 || Task Loss: 0.1724 || KD Loss: 0.0542|| 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: 2:19:39 || Estimated Time: 1 day, 18:25:36
2023-07-11 18:09:51,105 semantic_segmentation INFO: Iters: 2610/50000 || Lr: 0.019058 || Task Loss: 0.1485 || KD Loss: 0.0508|| 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: 2:20:11 || Estimated Time: 1 day, 18:25:06
2023-07-11 18:10:23,467 semantic_segmentation INFO: Iters: 2620/50000 || Lr: 0.019055 || Task Loss: 0.1889 || KD Loss: 0.0589|| 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: 2:20:43 || Estimated Time: 1 day, 18:24:36
2023-07-11 18:10:55,944 semantic_segmentation INFO: Iters: 2630/50000 || Lr: 0.019051 || Task Loss: 0.1724 || KD Loss: 0.0599|| 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: 2:21:16 || Estimated Time: 1 day, 18:24:08
2023-07-11 18:11:28,401 semantic_segmentation INFO: Iters: 2640/50000 || Lr: 0.019047 || Task Loss: 0.1573 || KD Loss: 0.0605|| 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: 2:21:48 || Estimated Time: 1 day, 18:23:40
2023-07-11 18:12:00,976 semantic_segmentation INFO: Iters: 2650/50000 || Lr: 0.019044 || Task Loss: 0.1414 || KD Loss: 0.0642|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1313|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 2:22:21 || Estimated Time: 1 day, 18:23:14
2023-07-11 18:12:33,474 semantic_segmentation INFO: Iters: 2660/50000 || Lr: 0.019040 || Task Loss: 0.1438 || KD Loss: 0.0546|| 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: 2:22:53 || Estimated Time: 1 day, 18:22:47
2023-07-11 18:13:05,921 semantic_segmentation INFO: Iters: 2670/50000 || Lr: 0.019037 || Task Loss: 0.1875 || KD Loss: 0.0588|| 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: 2:23:26 || Estimated Time: 1 day, 18:22:18
2023-07-11 18:13:38,480 semantic_segmentation INFO: Iters: 2680/50000 || Lr: 0.019033 || Task Loss: 0.1629 || KD Loss: 0.0522|| 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: 2:23:58 || Estimated Time: 1 day, 18:21:52
2023-07-11 18:14:11,043 semantic_segmentation INFO: Iters: 2690/50000 || Lr: 0.019029 || Task Loss: 0.1707 || KD Loss: 0.0692|| 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: 2:24:31 || Estimated Time: 1 day, 18:21:26
2023-07-11 18:14:43,570 semantic_segmentation INFO: Iters: 2700/50000 || Lr: 0.019026 || Task Loss: 0.1654 || KD Loss: 0.0532|| 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: 2:25:03 || Estimated Time: 1 day, 18:20:59
2023-07-11 18:15:16,153 semantic_segmentation INFO: Iters: 2710/50000 || Lr: 0.019022 || Task Loss: 0.1515 || KD Loss: 0.0616|| 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: 2:25:36 || Estimated Time: 1 day, 18:20:32
2023-07-11 18:15:48,717 semantic_segmentation INFO: Iters: 2720/50000 || Lr: 0.019018 || Task Loss: 0.1764 || KD Loss: 0.0573|| 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: 2:26:08 || Estimated Time: 1 day, 18:20:06
2023-07-11 18:16:21,299 semantic_segmentation INFO: Iters: 2730/50000 || Lr: 0.019015 || Task Loss: 0.1472 || KD Loss: 0.0550|| 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: 2:26:41 || Estimated Time: 1 day, 18:19:40
2023-07-11 18:16:53,876 semantic_segmentation INFO: Iters: 2740/50000 || Lr: 0.019011 || Task Loss: 0.1845 || KD Loss: 0.0671|| 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: 2:27:14 || Estimated Time: 1 day, 18:19:13
2023-07-11 18:17:26,425 semantic_segmentation INFO: Iters: 2750/50000 || Lr: 0.019008 || Task Loss: 0.1660 || KD Loss: 0.0596|| 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: 2:27:46 || Estimated Time: 1 day, 18:18:47
2023-07-11 18:17:59,141 semantic_segmentation INFO: Iters: 2760/50000 || Lr: 0.019004 || Task Loss: 0.1515 || KD Loss: 0.0501|| 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: 2:28:19 || Estimated Time: 1 day, 18:18:22
2023-07-11 18:18:31,788 semantic_segmentation INFO: Iters: 2770/50000 || Lr: 0.019000 || Task Loss: 0.1262 || KD Loss: 0.0588|| 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: 2:28:52 || Estimated Time: 1 day, 18:17:57
2023-07-11 18:19:04,441 semantic_segmentation INFO: Iters: 2780/50000 || Lr: 0.018997 || Task Loss: 0.1619 || KD Loss: 0.0611|| 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: 2:29:24 || Estimated Time: 1 day, 18:17:32
2023-07-11 18:19:37,081 semantic_segmentation INFO: Iters: 2790/50000 || Lr: 0.018993 || Task Loss: 0.1664 || KD Loss: 0.0603|| 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: 2:29:57 || Estimated Time: 1 day, 18:17:06
2023-07-11 18:20:09,674 semantic_segmentation INFO: Iters: 2800/50000 || Lr: 0.018989 || Task Loss: 0.1418 || KD Loss: 0.0547|| 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: 2:30:29 || Estimated Time: 1 day, 18:16:40
2023-07-11 18:20:42,271 semantic_segmentation INFO: Iters: 2810/50000 || Lr: 0.018986 || Task Loss: 0.1685 || KD Loss: 0.0500|| 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: 2:31:02 || Estimated Time: 1 day, 18:16:14
2023-07-11 18:21:15,007 semantic_segmentation INFO: Iters: 2820/50000 || Lr: 0.018982 || Task Loss: 0.1691 || KD Loss: 0.0504|| 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: 2:31:35 || Estimated Time: 1 day, 18:15:50
2023-07-11 18:21:47,766 semantic_segmentation INFO: Iters: 2830/50000 || Lr: 0.018979 || Task Loss: 0.1423 || KD Loss: 0.0550|| 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: 2:32:08 || Estimated Time: 1 day, 18:15:26
2023-07-11 18:22:20,333 semantic_segmentation INFO: Iters: 2840/50000 || Lr: 0.018975 || Task Loss: 0.1534 || KD Loss: 0.0566|| 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: 2:32:40 || Estimated Time: 1 day, 18:14:59
2023-07-11 18:22:53,078 semantic_segmentation INFO: Iters: 2850/50000 || Lr: 0.018971 || Task Loss: 0.1704 || KD Loss: 0.0600|| 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: 2:33:13 || Estimated Time: 1 day, 18:14:35
2023-07-11 18:23:25,784 semantic_segmentation INFO: Iters: 2860/50000 || Lr: 0.018968 || Task Loss: 0.1466 || KD Loss: 0.0487|| 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: 2:33:46 || Estimated Time: 1 day, 18:14:10
2023-07-11 18:23:58,439 semantic_segmentation INFO: Iters: 2870/50000 || Lr: 0.018964 || Task Loss: 0.1559 || KD Loss: 0.0534|| 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: 2:34:18 || Estimated Time: 1 day, 18:13:45
2023-07-11 18:24:31,204 semantic_segmentation INFO: Iters: 2880/50000 || Lr: 0.018961 || Task Loss: 0.1719 || 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: 2:34:51 || Estimated Time: 1 day, 18:13:20
2023-07-11 18:25:03,956 semantic_segmentation INFO: Iters: 2890/50000 || Lr: 0.018957 || Task Loss: 0.1554 || KD Loss: 0.0564|| 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: 2:35:24 || Estimated Time: 1 day, 18:12:56
2023-07-11 18:25:36,767 semantic_segmentation INFO: Iters: 2900/50000 || Lr: 0.018953 || Task Loss: 0.1906 || KD Loss: 0.0610|| 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: 2:35:57 || Estimated Time: 1 day, 18:12:33
2023-07-11 18:26:09,510 semantic_segmentation INFO: Iters: 2910/50000 || Lr: 0.018950 || Task Loss: 0.1682 || KD Loss: 0.0519|| 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: 2:36:29 || Estimated Time: 1 day, 18:12:08
2023-07-11 18:26:42,277 semantic_segmentation INFO: Iters: 2920/50000 || Lr: 0.018946 || Task Loss: 0.1745 || KD Loss: 0.0490|| 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: 2:37:02 || Estimated Time: 1 day, 18:11:44
2023-07-11 18:27:15,049 semantic_segmentation INFO: Iters: 2930/50000 || Lr: 0.018942 || Task Loss: 0.1675 || KD Loss: 0.0572|| 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: 2:37:35 || Estimated Time: 1 day, 18:11:20
2023-07-11 18:27:47,830 semantic_segmentation INFO: Iters: 2940/50000 || Lr: 0.018939 || Task Loss: 0.1565 || KD Loss: 0.0512|| 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: 2:38:08 || Estimated Time: 1 day, 18:10:56
2023-07-11 18:28:20,612 semantic_segmentation INFO: Iters: 2950/50000 || Lr: 0.018935 || Task Loss: 0.1548 || KD Loss: 0.0528|| 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: 2:38:40 || Estimated Time: 1 day, 18:10:32
2023-07-11 18:28:53,393 semantic_segmentation INFO: Iters: 2960/50000 || Lr: 0.018932 || Task Loss: 0.1753 || KD Loss: 0.0561|| 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: 2:39:13 || Estimated Time: 1 day, 18:10:07
2023-07-11 18:29:26,139 semantic_segmentation INFO: Iters: 2970/50000 || Lr: 0.018928 || Task Loss: 0.1662 || KD Loss: 0.0491|| 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: 2:39:46 || Estimated Time: 1 day, 18:09:43
2023-07-11 18:29:58,912 semantic_segmentation INFO: Iters: 2980/50000 || Lr: 0.018924 || Task Loss: 0.1882 || KD Loss: 0.0732|| 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: 2:40:19 || Estimated Time: 1 day, 18:09:19
2023-07-11 18:30:31,673 semantic_segmentation INFO: Iters: 2990/50000 || Lr: 0.018921 || Task Loss: 0.1507 || KD Loss: 0.0557|| 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: 2:40:51 || Estimated Time: 1 day, 18:08:54
2023-07-11 18:31:04,453 semantic_segmentation INFO: Iters: 3000/50000 || Lr: 0.018917 || Task Loss: 0.1578 || KD Loss: 0.0639|| 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: 2:41:24 || Estimated Time: 1 day, 18:08:30
2023-07-11 18:31:37,229 semantic_segmentation INFO: Iters: 3010/50000 || Lr: 0.018913 || Task Loss: 0.1421 || KD Loss: 0.0516|| 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: 2:41:57 || Estimated Time: 1 day, 18:08:05
2023-07-11 18:32:09,962 semantic_segmentation INFO: Iters: 3020/50000 || Lr: 0.018910 || Task Loss: 0.1446 || KD Loss: 0.0589|| 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: 2:42:30 || Estimated Time: 1 day, 18:07:40
2023-07-11 18:32:42,770 semantic_segmentation INFO: Iters: 3030/50000 || Lr: 0.018906 || Task Loss: 0.1725 || KD Loss: 0.0565|| 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: 2:43:03 || Estimated Time: 1 day, 18:07:15
2023-07-11 18:33:15,525 semantic_segmentation INFO: Iters: 3040/50000 || Lr: 0.018903 || Task Loss: 0.1547 || KD Loss: 0.0462|| 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: 2:43:35 || Estimated Time: 1 day, 18:06:50
2023-07-11 18:33:48,281 semantic_segmentation INFO: Iters: 3050/50000 || Lr: 0.018899 || Task Loss: 0.1646 || KD Loss: 0.0626|| 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: 2:44:08 || Estimated Time: 1 day, 18:06:26
2023-07-11 18:34:21,040 semantic_segmentation INFO: Iters: 3060/50000 || Lr: 0.018895 || Task Loss: 0.1593 || KD Loss: 0.0553|| 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: 2:44:41 || Estimated Time: 1 day, 18:06:01
2023-07-11 18:34:53,840 semantic_segmentation INFO: Iters: 3070/50000 || Lr: 0.018892 || Task Loss: 0.1778 || KD Loss: 0.0547|| 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: 2:45:14 || Estimated Time: 1 day, 18:05:36
2023-07-11 18:35:26,575 semantic_segmentation INFO: Iters: 3080/50000 || Lr: 0.018888 || Task Loss: 0.1359 || KD Loss: 0.0513|| 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: 2:45:46 || Estimated Time: 1 day, 18:05:10
2023-07-11 18:35:59,376 semantic_segmentation INFO: Iters: 3090/50000 || Lr: 0.018884 || Task Loss: 0.1613 || KD Loss: 0.0565|| 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: 2:46:19 || Estimated Time: 1 day, 18:04:46
2023-07-11 18:36:32,130 semantic_segmentation INFO: Iters: 3100/50000 || Lr: 0.018881 || Task Loss: 0.1745 || KD Loss: 0.0555|| 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: 2:46:52 || Estimated Time: 1 day, 18:04:21
2023-07-11 18:37:04,906 semantic_segmentation INFO: Iters: 3110/50000 || Lr: 0.018877 || Task Loss: 0.1508 || KD Loss: 0.0509|| 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: 2:47:25 || Estimated Time: 1 day, 18:03:56
2023-07-11 18:37:37,678 semantic_segmentation INFO: Iters: 3120/50000 || Lr: 0.018874 || Task Loss: 0.1491 || KD Loss: 0.0572|| 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: 2:47:57 || Estimated Time: 1 day, 18:03:30
2023-07-11 18:38:10,418 semantic_segmentation INFO: Iters: 3130/50000 || Lr: 0.018870 || Task Loss: 0.1605 || KD Loss: 0.0508|| 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: 2:48:30 || Estimated Time: 1 day, 18:03:05
2023-07-11 18:38:43,189 semantic_segmentation INFO: Iters: 3140/50000 || Lr: 0.018866 || Task Loss: 0.1561 || KD Loss: 0.0537|| 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: 2:49:03 || Estimated Time: 1 day, 18:02:40
2023-07-11 18:39:15,971 semantic_segmentation INFO: Iters: 3150/50000 || Lr: 0.018863 || Task Loss: 0.1857 || KD Loss: 0.0674|| 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: 2:49:36 || Estimated Time: 1 day, 18:02:14
2023-07-11 18:39:48,753 semantic_segmentation INFO: Iters: 3160/50000 || Lr: 0.018859 || Task Loss: 0.1656 || KD Loss: 0.0496|| 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: 2:50:09 || Estimated Time: 1 day, 18:01:49
2023-07-11 18:40:21,527 semantic_segmentation INFO: Iters: 3170/50000 || Lr: 0.018855 || Task Loss: 0.1702 || KD Loss: 0.0557|| 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: 2:50:41 || Estimated Time: 1 day, 18:01:24
2023-07-11 18:40:54,259 semantic_segmentation INFO: Iters: 3180/50000 || Lr: 0.018852 || Task Loss: 0.1747 || KD Loss: 0.0562|| 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: 2:51:14 || Estimated Time: 1 day, 18:00:58
2023-07-11 18:41:27,057 semantic_segmentation INFO: Iters: 3190/50000 || Lr: 0.018848 || Task Loss: 0.1696 || KD Loss: 0.0516|| 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: 2:51:47 || Estimated Time: 1 day, 18:00:33
2023-07-11 18:41:59,821 semantic_segmentation INFO: Iters: 3200/50000 || Lr: 0.018845 || Task Loss: 0.1631 || KD Loss: 0.0597|| 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: 2:52:20 || Estimated Time: 1 day, 18:00:07
2023-07-11 18:41:59,909 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 18:42:00,116 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.959, mIoU: 0.700
2023-07-11 18:42:00,140 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.958, mIoU: 0.703
2023-07-11 18:42:00,154 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-11 18:42:00,167 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.701
2023-07-11 18:42:00,180 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.958, mIoU: 0.696
2023-07-11 18:42:00,193 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-11 18:42:00,207 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.958, mIoU: 0.697
2023-07-11 18:42:00,220 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-11 18:42:00,233 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.957, mIoU: 0.697
2023-07-11 18:42:00,246 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.957, mIoU: 0.697
2023-07-11 18:42:00,260 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.957, mIoU: 0.698
2023-07-11 18:42:00,273 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.956, mIoU: 0.696
2023-07-11 18:42:00,286 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.956, mIoU: 0.700
2023-07-11 18:42:00,299 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.956, mIoU: 0.702
2023-07-11 18:42:00,312 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.956, mIoU: 0.703
2023-07-11 18:42:00,326 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.705
2023-07-11 18:42:00,339 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.957, mIoU: 0.706
2023-07-11 18:42:00,352 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.957, mIoU: 0.707
2023-07-11 18:42:00,365 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.707
2023-07-11 18:42:00,378 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.708
2023-07-11 18:42:00,391 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.710
2023-07-11 18:42:00,405 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.709
2023-07-11 18:42:00,418 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.710
2023-07-11 18:42:00,432 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.955, mIoU: 0.710
2023-07-11 18:42:00,445 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 18:42:00,458 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.956, mIoU: 0.712
2023-07-11 18:42:00,472 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.956, mIoU: 0.711
2023-07-11 18:42:00,485 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.956, mIoU: 0.710
2023-07-11 18:42:00,499 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.956, mIoU: 0.711
2023-07-11 18:42:00,512 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.956, mIoU: 0.711
2023-07-11 18:42:00,526 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.956, mIoU: 0.712
2023-07-11 18:42:00,540 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.956, mIoU: 0.713
2023-07-11 18:42:00,553 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.956, mIoU: 0.713
2023-07-11 18:42:00,567 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.956, mIoU: 0.713
2023-07-11 18:42:00,580 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.956, mIoU: 0.714
2023-07-11 18:42:00,593 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.955, mIoU: 0.714
2023-07-11 18:42:00,607 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.954, mIoU: 0.713
2023-07-11 18:42:00,621 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.954, mIoU: 0.715
2023-07-11 18:42:00,636 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.954, mIoU: 0.715
2023-07-11 18:42:00,649 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.954, mIoU: 0.716
2023-07-11 18:42:00,662 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.954, mIoU: 0.717
2023-07-11 18:42:00,676 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.954, mIoU: 0.719
2023-07-11 18:42:00,689 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.955, mIoU: 0.720
2023-07-11 18:42:00,702 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.955, mIoU: 0.722
2023-07-11 18:42:00,716 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.954, mIoU: 0.722
2023-07-11 18:42:00,729 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.954, mIoU: 0.724
2023-07-11 18:42:00,743 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.954, mIoU: 0.725
2023-07-11 18:42:00,757 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.954, mIoU: 0.726
2023-07-11 18:42:00,770 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.954, mIoU: 0.727
2023-07-11 18:42:00,784 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.954, mIoU: 0.727
2023-07-11 18:42:00,797 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.953, mIoU: 0.728
2023-07-11 18:42:00,810 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.953, mIoU: 0.729
2023-07-11 18:42:00,824 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.953, mIoU: 0.730
2023-07-11 18:42:00,837 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.952, mIoU: 0.731
2023-07-11 18:42:00,851 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.952, mIoU: 0.732
2023-07-11 18:42:00,864 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.952, mIoU: 0.732
2023-07-11 18:42:00,878 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.951, mIoU: 0.733
2023-07-11 18:42:00,891 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.951, mIoU: 0.733
2023-07-11 18:42:00,905 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.951, mIoU: 0.734
2023-07-11 18:42:00,918 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.951, mIoU: 0.735
2023-07-11 18:42:00,931 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.950, mIoU: 0.735
2023-07-11 18:42:00,944 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.950, mIoU: 0.735
2023-07-11 18:42:00,958 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.950, mIoU: 0.736
2023-07-11 18:42:00,971 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.949, mIoU: 0.736
2023-07-11 18:42:00,984 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.949, mIoU: 0.736
2023-07-11 18:42:00,998 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.948, mIoU: 0.736
2023-07-11 18:42:01,012 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.948, mIoU: 0.737
2023-07-11 18:42:01,026 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.947, mIoU: 0.738
2023-07-11 18:42:01,039 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.947, mIoU: 0.738
2023-07-11 18:42:01,053 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.946, mIoU: 0.739
2023-07-11 18:42:01,067 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.946, mIoU: 0.739
2023-07-11 18:42:01,081 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.946, mIoU: 0.739
2023-07-11 18:42:01,094 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.945, mIoU: 0.739
2023-07-11 18:42:01,108 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.945, mIoU: 0.739
2023-07-11 18:42:01,121 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.945, mIoU: 0.738
2023-07-11 18:42:01,134 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.945, mIoU: 0.738
2023-07-11 18:42:01,148 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.944, mIoU: 0.738
2023-07-11 18:42:01,162 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.944, mIoU: 0.737
2023-07-11 18:42:01,176 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.944, mIoU: 0.737
2023-07-11 18:42:01,189 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.944, mIoU: 0.735
2023-07-11 18:42:01,203 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.943, mIoU: 0.735
2023-07-11 18:42:01,216 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.943, mIoU: 0.734
2023-07-11 18:42:01,229 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.943, mIoU: 0.732
2023-07-11 18:42:01,243 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.942, mIoU: 0.732
2023-07-11 18:42:01,256 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.942, mIoU: 0.731
2023-07-11 18:42:01,269 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.942, mIoU: 0.731
2023-07-11 18:42:01,283 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.942, mIoU: 0.731
2023-07-11 18:42:01,296 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.942, mIoU: 0.730
2023-07-11 18:42:01,310 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.942, mIoU: 0.729
2023-07-11 18:42:01,323 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.942, mIoU: 0.728
2023-07-11 18:42:01,336 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.942, mIoU: 0.728
2023-07-11 18:42:01,349 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.942, mIoU: 0.728
2023-07-11 18:42:01,362 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.942, mIoU: 0.728
2023-07-11 18:42:01,377 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.943, mIoU: 0.728
2023-07-11 18:42:01,392 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.943, mIoU: 0.728
2023-07-11 18:42:01,407 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.943, mIoU: 0.729
2023-07-11 18:42:01,421 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.943, mIoU: 0.729
2023-07-11 18:42:01,434 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.943, mIoU: 0.729
2023-07-11 18:42:01,448 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.944, mIoU: 0.729
2023-07-11 18:42:01,461 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.944, mIoU: 0.729
2023-07-11 18:42:01,475 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.944, mIoU: 0.730
2023-07-11 18:42:34,526 semantic_segmentation INFO: Iters: 3210/50000 || Lr: 0.018841 || Task Loss: 0.1783 || KD Loss: 0.0630|| 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: 2:52:54 || Estimated Time: 1 day, 18:00:09
2023-07-11 18:43:07,636 semantic_segmentation INFO: Iters: 3220/50000 || Lr: 0.018837 || Task Loss: 0.1508 || KD Loss: 0.0524|| 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: 2:53:27 || Estimated Time: 1 day, 17:59:49
2023-07-11 18:43:40,581 semantic_segmentation INFO: Iters: 3230/50000 || Lr: 0.018834 || Task Loss: 0.1667 || KD Loss: 0.0515|| 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: 2:54:00 || Estimated Time: 1 day, 17:59:26
2023-07-11 18:44:13,332 semantic_segmentation INFO: Iters: 3240/50000 || Lr: 0.018830 || Task Loss: 0.1486 || KD Loss: 0.0519|| 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: 2:54:33 || Estimated Time: 1 day, 17:59:00
2023-07-11 18:44:46,129 semantic_segmentation INFO: Iters: 3250/50000 || Lr: 0.018826 || Task Loss: 0.1711 || KD Loss: 0.0583|| 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: 2:55:06 || Estimated Time: 1 day, 17:58:34
2023-07-11 18:45:18,868 semantic_segmentation INFO: Iters: 3260/50000 || Lr: 0.018823 || Task Loss: 0.1424 || KD Loss: 0.0528|| 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: 2:55:39 || Estimated Time: 1 day, 17:58:08
2023-07-11 18:45:51,623 semantic_segmentation INFO: Iters: 3270/50000 || Lr: 0.018819 || Task Loss: 0.1542 || KD Loss: 0.0513|| 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: 2:56:11 || Estimated Time: 1 day, 17:57:42
2023-07-11 18:46:24,406 semantic_segmentation INFO: Iters: 3280/50000 || Lr: 0.018816 || Task Loss: 0.1353 || KD Loss: 0.0485|| 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: 2:56:44 || Estimated Time: 1 day, 17:57:16
2023-07-11 18:46:57,208 semantic_segmentation INFO: Iters: 3290/50000 || Lr: 0.018812 || Task Loss: 0.1856 || KD Loss: 0.0551|| 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: 2:57:17 || Estimated Time: 1 day, 17:56:50
2023-07-11 18:47:29,943 semantic_segmentation INFO: Iters: 3300/50000 || Lr: 0.018808 || Task Loss: 0.1699 || KD Loss: 0.0678|| 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: 2:57:50 || Estimated Time: 1 day, 17:56:24
2023-07-11 18:48:02,724 semantic_segmentation INFO: Iters: 3310/50000 || Lr: 0.018805 || Task Loss: 0.1547 || KD Loss: 0.0563|| 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: 2:58:22 || Estimated Time: 1 day, 17:55:58
2023-07-11 18:48:35,479 semantic_segmentation INFO: Iters: 3320/50000 || Lr: 0.018801 || Task Loss: 0.1674 || KD Loss: 0.0542|| 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: 2:58:55 || Estimated Time: 1 day, 17:55:31
2023-07-11 18:49:08,249 semantic_segmentation INFO: Iters: 3330/50000 || Lr: 0.018797 || Task Loss: 0.1647 || KD Loss: 0.0525|| 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: 2:59:28 || Estimated Time: 1 day, 17:55:05
2023-07-11 18:49:41,004 semantic_segmentation INFO: Iters: 3340/50000 || Lr: 0.018794 || Task Loss: 0.1433 || KD Loss: 0.0579|| 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: 3:00:01 || Estimated Time: 1 day, 17:54:39
2023-07-11 18:50:13,782 semantic_segmentation INFO: Iters: 3350/50000 || Lr: 0.018790 || Task Loss: 0.1550 || KD Loss: 0.0602|| 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: 3:00:34 || Estimated Time: 1 day, 17:54:13
2023-07-11 18:50:46,573 semantic_segmentation INFO: Iters: 3360/50000 || Lr: 0.018787 || Task Loss: 0.1623 || KD Loss: 0.0487|| 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: 3:01:06 || Estimated Time: 1 day, 17:53:46
2023-07-11 18:51:19,318 semantic_segmentation INFO: Iters: 3370/50000 || Lr: 0.018783 || Task Loss: 0.1820 || KD Loss: 0.0575|| 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: 3:01:39 || Estimated Time: 1 day, 17:53:20
2023-07-11 18:51:52,084 semantic_segmentation INFO: Iters: 3380/50000 || Lr: 0.018779 || Task Loss: 0.1666 || KD Loss: 0.0542|| 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: 3:02:12 || Estimated Time: 1 day, 17:52:53
2023-07-11 18:52:24,880 semantic_segmentation INFO: Iters: 3390/50000 || Lr: 0.018776 || Task Loss: 0.1715 || KD Loss: 0.0479|| 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: 3:02:45 || Estimated Time: 1 day, 17:52:27
2023-07-11 18:52:57,621 semantic_segmentation INFO: Iters: 3400/50000 || Lr: 0.018772 || Task Loss: 0.1525 || KD Loss: 0.0562|| 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: 3:03:17 || Estimated Time: 1 day, 17:52:00
2023-07-11 18:53:30,392 semantic_segmentation INFO: Iters: 3410/50000 || Lr: 0.018768 || Task Loss: 0.1454 || KD Loss: 0.0503|| 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: 3:03:50 || Estimated Time: 1 day, 17:51:34
2023-07-11 18:54:03,161 semantic_segmentation INFO: Iters: 3420/50000 || Lr: 0.018765 || Task Loss: 0.1623 || KD Loss: 0.0634|| 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: 3:04:23 || Estimated Time: 1 day, 17:51:07
2023-07-11 18:54:35,938 semantic_segmentation INFO: Iters: 3430/50000 || Lr: 0.018761 || Task Loss: 0.1654 || KD Loss: 0.0552|| 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: 3:04:56 || Estimated Time: 1 day, 17:50:41
2023-07-11 18:55:08,710 semantic_segmentation INFO: Iters: 3440/50000 || Lr: 0.018758 || Task Loss: 0.1506 || KD Loss: 0.0548|| 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: 3:05:28 || Estimated Time: 1 day, 17:50:14
2023-07-11 18:55:41,482 semantic_segmentation INFO: Iters: 3450/50000 || Lr: 0.018754 || Task Loss: 0.1637 || KD Loss: 0.0542|| 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: 3:06:01 || Estimated Time: 1 day, 17:49:47
2023-07-11 18:56:14,239 semantic_segmentation INFO: Iters: 3460/50000 || Lr: 0.018750 || Task Loss: 0.1612 || KD Loss: 0.0513|| 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: 3:06:34 || Estimated Time: 1 day, 17:49:20
2023-07-11 18:56:46,985 semantic_segmentation INFO: Iters: 3470/50000 || Lr: 0.018747 || Task Loss: 0.1513 || 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: 3:07:07 || Estimated Time: 1 day, 17:48:54
2023-07-11 18:57:19,774 semantic_segmentation INFO: Iters: 3480/50000 || Lr: 0.018743 || Task Loss: 0.1385 || KD Loss: 0.0511|| 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: 3:07:40 || Estimated Time: 1 day, 17:48:27
2023-07-11 18:57:52,504 semantic_segmentation INFO: Iters: 3490/50000 || Lr: 0.018739 || Task Loss: 0.1504 || KD Loss: 0.0447|| 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: 3:08:12 || Estimated Time: 1 day, 17:48:00
2023-07-11 18:58:25,288 semantic_segmentation INFO: Iters: 3500/50000 || Lr: 0.018736 || Task Loss: 0.1494 || KD Loss: 0.0612|| 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: 3:08:45 || Estimated Time: 1 day, 17:47:33
2023-07-11 18:58:58,073 semantic_segmentation INFO: Iters: 3510/50000 || Lr: 0.018732 || Task Loss: 0.1840 || KD Loss: 0.0683|| 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: 3:09:18 || Estimated Time: 1 day, 17:47:06
2023-07-11 18:59:30,828 semantic_segmentation INFO: Iters: 3520/50000 || Lr: 0.018729 || Task Loss: 0.1374 || KD Loss: 0.0480|| 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: 3:09:51 || Estimated Time: 1 day, 17:46:39
2023-07-11 19:00:03,603 semantic_segmentation INFO: Iters: 3530/50000 || Lr: 0.018725 || Task Loss: 0.1455 || KD Loss: 0.0578|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1291|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:10:23 || Estimated Time: 1 day, 17:46:12
2023-07-11 19:00:36,369 semantic_segmentation INFO: Iters: 3540/50000 || Lr: 0.018721 || Task Loss: 0.1342 || KD Loss: 0.0501|| 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: 3:10:56 || Estimated Time: 1 day, 17:45:45
2023-07-11 19:01:09,130 semantic_segmentation INFO: Iters: 3550/50000 || Lr: 0.018718 || Task Loss: 0.1473 || KD Loss: 0.0545|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1230|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 3:11:29 || Estimated Time: 1 day, 17:45:18
2023-07-11 19:01:41,898 semantic_segmentation INFO: Iters: 3560/50000 || Lr: 0.018714 || Task Loss: 0.1447 || KD Loss: 0.0590|| 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: 3:12:02 || Estimated Time: 1 day, 17:44:51
2023-07-11 19:02:14,675 semantic_segmentation INFO: Iters: 3570/50000 || Lr: 0.018710 || Task Loss: 0.1392 || KD Loss: 0.0450|| 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: 3:12:34 || Estimated Time: 1 day, 17:44:24
2023-07-11 19:02:47,431 semantic_segmentation INFO: Iters: 3580/50000 || Lr: 0.018707 || Task Loss: 0.1282 || KD Loss: 0.0482|| 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: 3:13:07 || Estimated Time: 1 day, 17:43:57
2023-07-11 19:03:20,188 semantic_segmentation INFO: Iters: 3590/50000 || Lr: 0.018703 || Task Loss: 0.1763 || KD Loss: 0.0653|| 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: 3:13:40 || Estimated Time: 1 day, 17:43:30
2023-07-11 19:03:52,976 semantic_segmentation INFO: Iters: 3600/50000 || Lr: 0.018700 || Task Loss: 0.1360 || KD Loss: 0.0455|| 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: 3:14:13 || Estimated Time: 1 day, 17:43:03
2023-07-11 19:04:25,749 semantic_segmentation INFO: Iters: 3610/50000 || Lr: 0.018696 || Task Loss: 0.1702 || KD Loss: 0.0483|| 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: 3:14:46 || Estimated Time: 1 day, 17:42:35
2023-07-11 19:04:58,505 semantic_segmentation INFO: Iters: 3620/50000 || Lr: 0.018692 || Task Loss: 0.1597 || KD Loss: 0.0619|| 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: 3:15:18 || Estimated Time: 1 day, 17:42:08
2023-07-11 19:05:31,260 semantic_segmentation INFO: Iters: 3630/50000 || Lr: 0.018689 || Task Loss: 0.1693 || KD Loss: 0.0504|| 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: 3:15:51 || Estimated Time: 1 day, 17:41:41
2023-07-11 19:06:04,043 semantic_segmentation INFO: Iters: 3640/50000 || Lr: 0.018685 || Task Loss: 0.1658 || KD Loss: 0.0537|| 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: 3:16:24 || Estimated Time: 1 day, 17:41:14
2023-07-11 19:06:36,814 semantic_segmentation INFO: Iters: 3650/50000 || Lr: 0.018681 || Task Loss: 0.1274 || KD Loss: 0.0450|| 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: 3:16:57 || Estimated Time: 1 day, 17:40:46
2023-07-11 19:07:09,594 semantic_segmentation INFO: Iters: 3660/50000 || Lr: 0.018678 || Task Loss: 0.1308 || KD Loss: 0.0517|| 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: 3:17:29 || Estimated Time: 1 day, 17:40:19
2023-07-11 19:07:42,357 semantic_segmentation INFO: Iters: 3670/50000 || Lr: 0.018674 || Task Loss: 0.1718 || KD Loss: 0.0469|| 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: 3:18:02 || Estimated Time: 1 day, 17:39:51
2023-07-11 19:08:15,112 semantic_segmentation INFO: Iters: 3680/50000 || Lr: 0.018671 || Task Loss: 0.1419 || KD Loss: 0.0522|| 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: 3:18:35 || Estimated Time: 1 day, 17:39:24
2023-07-11 19:08:47,874 semantic_segmentation INFO: Iters: 3690/50000 || Lr: 0.018667 || Task Loss: 0.1496 || KD Loss: 0.0493|| 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: 3:19:08 || Estimated Time: 1 day, 17:38:56
2023-07-11 19:09:20,603 semantic_segmentation INFO: Iters: 3700/50000 || Lr: 0.018663 || Task Loss: 0.1435 || KD Loss: 0.0513|| 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: 3:19:40 || Estimated Time: 1 day, 17:38:29
2023-07-11 19:09:53,412 semantic_segmentation INFO: Iters: 3710/50000 || Lr: 0.018660 || Task Loss: 0.1530 || KD Loss: 0.0583|| 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: 3:20:13 || Estimated Time: 1 day, 17:38:01
2023-07-11 19:10:26,182 semantic_segmentation INFO: Iters: 3720/50000 || Lr: 0.018656 || Task Loss: 0.1346 || KD Loss: 0.0459|| 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: 3:20:46 || Estimated Time: 1 day, 17:37:34
2023-07-11 19:10:58,960 semantic_segmentation INFO: Iters: 3730/50000 || Lr: 0.018652 || Task Loss: 0.1400 || KD Loss: 0.0482|| 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: 3:21:19 || Estimated Time: 1 day, 17:37:06
2023-07-11 19:11:31,738 semantic_segmentation INFO: Iters: 3740/50000 || Lr: 0.018649 || Task Loss: 0.1545 || KD Loss: 0.0535|| 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: 3:21:51 || Estimated Time: 1 day, 17:36:39
2023-07-11 19:12:04,476 semantic_segmentation INFO: Iters: 3750/50000 || Lr: 0.018645 || Task Loss: 0.1491 || KD Loss: 0.0597|| 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: 3:22:24 || Estimated Time: 1 day, 17:36:11
2023-07-11 19:12:37,262 semantic_segmentation INFO: Iters: 3760/50000 || Lr: 0.018642 || Task Loss: 0.1539 || KD Loss: 0.0513|| 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: 3:22:57 || Estimated Time: 1 day, 17:35:44
2023-07-11 19:13:10,022 semantic_segmentation INFO: Iters: 3770/50000 || Lr: 0.018638 || Task Loss: 0.1541 || KD Loss: 0.0460|| 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: 3:23:30 || Estimated Time: 1 day, 17:35:16
2023-07-11 19:13:42,790 semantic_segmentation INFO: Iters: 3780/50000 || Lr: 0.018634 || Task Loss: 0.1748 || KD Loss: 0.0591|| 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: 3:24:03 || Estimated Time: 1 day, 17:34:48
2023-07-11 19:14:15,555 semantic_segmentation INFO: Iters: 3790/50000 || Lr: 0.018631 || Task Loss: 0.1557 || KD Loss: 0.0565|| 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: 3:24:35 || Estimated Time: 1 day, 17:34:21
2023-07-11 19:14:48,320 semantic_segmentation INFO: Iters: 3800/50000 || Lr: 0.018627 || Task Loss: 0.1483 || KD Loss: 0.0489|| 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: 3:25:08 || Estimated Time: 1 day, 17:33:53
2023-07-11 19:15:21,097 semantic_segmentation INFO: Iters: 3810/50000 || Lr: 0.018623 || Task Loss: 0.1348 || KD Loss: 0.0427|| 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: 3:25:41 || Estimated Time: 1 day, 17:33:25
2023-07-11 19:15:53,865 semantic_segmentation INFO: Iters: 3820/50000 || Lr: 0.018620 || Task Loss: 0.1373 || KD Loss: 0.0554|| 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: 3:26:14 || Estimated Time: 1 day, 17:32:57
2023-07-11 19:16:26,622 semantic_segmentation INFO: Iters: 3830/50000 || Lr: 0.018616 || Task Loss: 0.1758 || KD Loss: 0.0528|| 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: 3:26:46 || Estimated Time: 1 day, 17:32:29
2023-07-11 19:16:59,406 semantic_segmentation INFO: Iters: 3840/50000 || Lr: 0.018612 || Task Loss: 0.1568 || KD Loss: 0.0558|| 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: 3:27:19 || Estimated Time: 1 day, 17:32:01
2023-07-11 19:17:32,166 semantic_segmentation INFO: Iters: 3850/50000 || Lr: 0.018609 || Task Loss: 0.1440 || KD Loss: 0.0453|| 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: 3:27:52 || Estimated Time: 1 day, 17:31:33
2023-07-11 19:18:04,930 semantic_segmentation INFO: Iters: 3860/50000 || Lr: 0.018605 || Task Loss: 0.1462 || KD Loss: 0.0516|| 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: 3:28:25 || Estimated Time: 1 day, 17:31:06
2023-07-11 19:18:37,692 semantic_segmentation INFO: Iters: 3870/50000 || Lr: 0.018602 || Task Loss: 0.1385 || KD Loss: 0.0472|| 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: 3:28:57 || Estimated Time: 1 day, 17:30:38
2023-07-11 19:19:10,484 semantic_segmentation INFO: Iters: 3880/50000 || Lr: 0.018598 || Task Loss: 0.1564 || KD Loss: 0.0459|| 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: 3:29:30 || Estimated Time: 1 day, 17:30:10
2023-07-11 19:19:43,242 semantic_segmentation INFO: Iters: 3890/50000 || Lr: 0.018594 || Task Loss: 0.1690 || KD Loss: 0.0559|| 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: 3:30:03 || Estimated Time: 1 day, 17:29:42
2023-07-11 19:20:15,978 semantic_segmentation INFO: Iters: 3900/50000 || Lr: 0.018591 || Task Loss: 0.1314 || KD Loss: 0.0481|| 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: 3:30:36 || Estimated Time: 1 day, 17:29:14
2023-07-11 19:20:48,759 semantic_segmentation INFO: Iters: 3910/50000 || Lr: 0.018587 || Task Loss: 0.1293 || KD Loss: 0.0476|| 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: 3:31:09 || Estimated Time: 1 day, 17:28:46
2023-07-11 19:21:21,545 semantic_segmentation INFO: Iters: 3920/50000 || Lr: 0.018583 || Task Loss: 0.1420 || KD Loss: 0.0482|| 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: 3:31:41 || Estimated Time: 1 day, 17:28:18
2023-07-11 19:21:54,298 semantic_segmentation INFO: Iters: 3930/50000 || Lr: 0.018580 || Task Loss: 0.1446 || KD Loss: 0.0487|| 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: 3:32:14 || Estimated Time: 1 day, 17:27:50
2023-07-11 19:22:27,087 semantic_segmentation INFO: Iters: 3940/50000 || Lr: 0.018576 || Task Loss: 0.1376 || KD Loss: 0.0550|| 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: 3:32:47 || Estimated Time: 1 day, 17:27:21
2023-07-11 19:22:59,838 semantic_segmentation INFO: Iters: 3950/50000 || Lr: 0.018573 || Task Loss: 0.1414 || KD Loss: 0.0516|| 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: 3:33:20 || Estimated Time: 1 day, 17:26:53
2023-07-11 19:23:32,606 semantic_segmentation INFO: Iters: 3960/50000 || Lr: 0.018569 || Task Loss: 0.1551 || KD Loss: 0.0473|| 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: 3:33:52 || Estimated Time: 1 day, 17:26:25
2023-07-11 19:24:05,351 semantic_segmentation INFO: Iters: 3970/50000 || Lr: 0.018565 || Task Loss: 0.1627 || KD Loss: 0.0585|| 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: 3:34:25 || Estimated Time: 1 day, 17:25:57
2023-07-11 19:24:38,150 semantic_segmentation INFO: Iters: 3980/50000 || Lr: 0.018562 || Task Loss: 0.1293 || KD Loss: 0.0438|| 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: 3:34:58 || Estimated Time: 1 day, 17:25:29
2023-07-11 19:25:10,900 semantic_segmentation INFO: Iters: 3990/50000 || Lr: 0.018558 || Task Loss: 0.1410 || KD Loss: 0.0481|| 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: 3:35:31 || Estimated Time: 1 day, 17:25:00
2023-07-11 19:25:43,676 semantic_segmentation INFO: Iters: 4000/50000 || Lr: 0.018554 || Task Loss: 0.1412 || KD Loss: 0.0463|| 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: 3:36:03 || Estimated Time: 1 day, 17:24:32
2023-07-11 19:25:43,765 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 19:25:43,974 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.959, mIoU: 0.697
2023-07-11 19:25:43,989 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-11 19:25:44,003 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.959, mIoU: 0.705
2023-07-11 19:25:44,017 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.702
2023-07-11 19:25:44,030 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.958, mIoU: 0.698
2023-07-11 19:25:44,042 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.958, mIoU: 0.700
2023-07-11 19:25:44,055 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.699
2023-07-11 19:25:44,068 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.957, mIoU: 0.695
2023-07-11 19:25:44,081 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.956, mIoU: 0.690
2023-07-11 19:25:44,095 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.955, mIoU: 0.691
2023-07-11 19:25:44,108 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.955, mIoU: 0.693
2023-07-11 19:25:44,121 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.954, mIoU: 0.693
2023-07-11 19:25:44,135 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.955, mIoU: 0.697
2023-07-11 19:25:44,148 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.955, mIoU: 0.700
2023-07-11 19:25:44,161 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.955, mIoU: 0.702
2023-07-11 19:25:44,174 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.956, mIoU: 0.705
2023-07-11 19:25:44,187 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.956, mIoU: 0.707
2023-07-11 19:25:44,200 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.956, mIoU: 0.710
2023-07-11 19:25:44,213 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.709
2023-07-11 19:25:44,226 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.955, mIoU: 0.710
2023-07-11 19:25:44,240 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.955, mIoU: 0.712
2023-07-11 19:25:44,253 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 19:25:44,267 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 19:25:44,281 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 19:25:44,296 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 19:25:44,310 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 19:25:44,324 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.955, mIoU: 0.710
2023-07-11 19:25:44,338 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.955, mIoU: 0.710
2023-07-11 19:25:44,352 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 19:25:44,366 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 19:25:44,380 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.955, mIoU: 0.712
2023-07-11 19:25:44,394 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.711
2023-07-11 19:25:44,408 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.711
2023-07-11 19:25:44,421 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.711
2023-07-11 19:25:44,437 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.712
2023-07-11 19:25:44,451 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.712
2023-07-11 19:25:44,464 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.713
2023-07-11 19:25:44,477 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.714
2023-07-11 19:25:44,490 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.715
2023-07-11 19:25:44,503 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.953, mIoU: 0.717
2023-07-11 19:25:44,516 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.953, mIoU: 0.718
2023-07-11 19:25:44,530 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.720
2023-07-11 19:25:44,543 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.722
2023-07-11 19:25:44,555 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.723
2023-07-11 19:25:44,568 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.953, mIoU: 0.724
2023-07-11 19:25:44,581 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.953, mIoU: 0.726
2023-07-11 19:25:44,594 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.953, mIoU: 0.727
2023-07-11 19:25:44,607 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.953, mIoU: 0.729
2023-07-11 19:25:44,619 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.953, mIoU: 0.730
2023-07-11 19:25:44,632 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.953, mIoU: 0.730
2023-07-11 19:25:44,646 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.952, mIoU: 0.731
2023-07-11 19:25:44,659 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.952, mIoU: 0.733
2023-07-11 19:25:44,673 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.952, mIoU: 0.734
2023-07-11 19:25:44,687 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.951, mIoU: 0.735
2023-07-11 19:25:44,701 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.951, mIoU: 0.736
2023-07-11 19:25:44,714 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.951, mIoU: 0.737
2023-07-11 19:25:44,728 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.950, mIoU: 0.737
2023-07-11 19:25:44,742 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.950, mIoU: 0.738
2023-07-11 19:25:44,756 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.950, mIoU: 0.739
2023-07-11 19:25:44,769 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.950, mIoU: 0.739
2023-07-11 19:25:44,783 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.949, mIoU: 0.740
2023-07-11 19:25:44,796 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.949, mIoU: 0.741
2023-07-11 19:25:44,810 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.949, mIoU: 0.741
2023-07-11 19:25:44,824 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.948, mIoU: 0.742
2023-07-11 19:25:44,838 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.948, mIoU: 0.742
2023-07-11 19:25:44,852 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.947, mIoU: 0.742
2023-07-11 19:25:44,865 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.947, mIoU: 0.743
2023-07-11 19:25:44,879 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.947, mIoU: 0.744
2023-07-11 19:25:44,892 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.946, mIoU: 0.745
2023-07-11 19:25:44,905 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.946, mIoU: 0.746
2023-07-11 19:25:44,918 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.946, mIoU: 0.746
2023-07-11 19:25:44,930 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.946, mIoU: 0.747
2023-07-11 19:25:44,944 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:44,956 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:44,969 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:44,982 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:44,995 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:45,008 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:45,021 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:45,034 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:45,047 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:45,059 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.944, mIoU: 0.747
2023-07-11 19:25:45,073 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 19:25:45,087 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 19:25:45,100 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 19:25:45,114 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 19:25:45,127 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 19:25:45,141 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 19:25:45,154 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 19:25:45,168 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 19:25:45,181 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.944, mIoU: 0.745
2023-07-11 19:25:45,195 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.944, mIoU: 0.745
2023-07-11 19:25:45,208 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.944, mIoU: 0.745
2023-07-11 19:25:45,221 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.945, mIoU: 0.746
2023-07-11 19:25:45,235 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.945, mIoU: 0.746
2023-07-11 19:25:45,248 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.945, mIoU: 0.746
2023-07-11 19:25:45,261 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.945, mIoU: 0.746
2023-07-11 19:25:45,275 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 19:25:45,287 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.946, mIoU: 0.747
2023-07-11 19:25:45,300 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.946, mIoU: 0.747
2023-07-11 19:25:45,313 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.946, mIoU: 0.747
2023-07-11 19:26:18,468 semantic_segmentation INFO: Iters: 4010/50000 || Lr: 0.018551 || Task Loss: 0.1323 || KD Loss: 0.0466|| 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: 3:36:38 || Estimated Time: 1 day, 17:24:27
2023-07-11 19:26:51,236 semantic_segmentation INFO: Iters: 4020/50000 || Lr: 0.018547 || Task Loss: 0.1439 || KD Loss: 0.0481|| 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: 3:37:11 || Estimated Time: 1 day, 17:23:59
2023-07-11 19:27:24,034 semantic_segmentation INFO: Iters: 4030/50000 || Lr: 0.018544 || Task Loss: 0.1535 || KD Loss: 0.0542|| 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: 3:37:44 || Estimated Time: 1 day, 17:23:31
2023-07-11 19:27:56,783 semantic_segmentation INFO: Iters: 4040/50000 || Lr: 0.018540 || Task Loss: 0.1446 || KD Loss: 0.0576|| 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: 3:38:17 || Estimated Time: 1 day, 17:23:02
2023-07-11 19:28:29,559 semantic_segmentation INFO: Iters: 4050/50000 || Lr: 0.018536 || Task Loss: 0.1510 || KD Loss: 0.0505|| 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: 3:38:49 || Estimated Time: 1 day, 17:22:34
2023-07-11 19:29:02,333 semantic_segmentation INFO: Iters: 4060/50000 || Lr: 0.018533 || Task Loss: 0.1736 || KD Loss: 0.0579|| 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: 3:39:22 || Estimated Time: 1 day, 17:22:05
2023-07-11 19:29:35,295 semantic_segmentation INFO: Iters: 4070/50000 || Lr: 0.018529 || Task Loss: 0.1693 || KD Loss: 0.0506|| 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: 3:39:55 || Estimated Time: 1 day, 17:21:39
2023-07-11 19:30:08,069 semantic_segmentation INFO: Iters: 4080/50000 || Lr: 0.018525 || Task Loss: 0.1403 || KD Loss: 0.0440|| 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: 3:40:28 || Estimated Time: 1 day, 17:21:11
2023-07-11 19:30:41,187 semantic_segmentation INFO: Iters: 4090/50000 || Lr: 0.018522 || Task Loss: 0.1553 || KD Loss: 0.0482|| 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: 3:41:01 || Estimated Time: 1 day, 17:20:46
2023-07-11 19:31:14,385 semantic_segmentation INFO: Iters: 4100/50000 || Lr: 0.018518 || Task Loss: 0.1248 || KD Loss: 0.0499|| 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: 3:41:34 || Estimated Time: 1 day, 17:20:22
2023-07-11 19:31:47,186 semantic_segmentation INFO: Iters: 4110/50000 || Lr: 0.018514 || Task Loss: 0.1306 || KD Loss: 0.0547|| 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: 3:42:07 || Estimated Time: 1 day, 17:19:54
2023-07-11 19:32:19,971 semantic_segmentation INFO: Iters: 4120/50000 || Lr: 0.018511 || Task Loss: 0.1506 || KD Loss: 0.0595|| 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: 3:42:40 || Estimated Time: 1 day, 17:19:26
2023-07-11 19:32:52,708 semantic_segmentation INFO: Iters: 4130/50000 || Lr: 0.018507 || Task Loss: 0.1410 || KD Loss: 0.0554|| 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: 3:43:12 || Estimated Time: 1 day, 17:18:57
2023-07-11 19:33:25,472 semantic_segmentation INFO: Iters: 4140/50000 || Lr: 0.018504 || Task Loss: 0.1306 || KD Loss: 0.0467|| 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: 3:43:45 || Estimated Time: 1 day, 17:18:28
2023-07-11 19:33:58,253 semantic_segmentation INFO: Iters: 4150/50000 || Lr: 0.018500 || Task Loss: 0.1596 || KD Loss: 0.0532|| 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: 3:44:18 || Estimated Time: 1 day, 17:18:00
2023-07-11 19:34:31,014 semantic_segmentation INFO: Iters: 4160/50000 || Lr: 0.018496 || Task Loss: 0.1589 || KD Loss: 0.0588|| 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: 3:44:51 || Estimated Time: 1 day, 17:17:31
2023-07-11 19:35:03,776 semantic_segmentation INFO: Iters: 4170/50000 || Lr: 0.018493 || Task Loss: 0.1602 || KD Loss: 0.0542|| 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: 3:45:24 || Estimated Time: 1 day, 17:17:02
2023-07-11 19:35:36,540 semantic_segmentation INFO: Iters: 4180/50000 || Lr: 0.018489 || Task Loss: 0.1494 || KD Loss: 0.0501|| 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: 3:45:56 || Estimated Time: 1 day, 17:16:34
2023-07-11 19:36:09,342 semantic_segmentation INFO: Iters: 4190/50000 || Lr: 0.018485 || Task Loss: 0.1739 || KD Loss: 0.0497|| 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: 3:46:29 || Estimated Time: 1 day, 17:16:05
2023-07-11 19:36:42,097 semantic_segmentation INFO: Iters: 4200/50000 || Lr: 0.018482 || Task Loss: 0.1559 || KD Loss: 0.0459|| 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: 3:47:02 || Estimated Time: 1 day, 17:15:36
2023-07-11 19:37:14,842 semantic_segmentation INFO: Iters: 4210/50000 || Lr: 0.018478 || Task Loss: 0.1664 || KD Loss: 0.0519|| 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: 3:47:35 || Estimated Time: 1 day, 17:15:07
2023-07-11 19:37:47,608 semantic_segmentation INFO: Iters: 4220/50000 || Lr: 0.018475 || Task Loss: 0.1384 || KD Loss: 0.0587|| 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: 3:48:07 || Estimated Time: 1 day, 17:14:39
2023-07-11 19:38:20,390 semantic_segmentation INFO: Iters: 4230/50000 || Lr: 0.018471 || Task Loss: 0.1412 || KD Loss: 0.0554|| 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: 3:48:40 || Estimated Time: 1 day, 17:14:10
2023-07-11 19:38:53,158 semantic_segmentation INFO: Iters: 4240/50000 || Lr: 0.018467 || Task Loss: 0.1338 || KD Loss: 0.0434|| 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: 3:49:13 || Estimated Time: 1 day, 17:13:41
2023-07-11 19:39:25,937 semantic_segmentation INFO: Iters: 4250/50000 || Lr: 0.018464 || Task Loss: 0.1436 || KD Loss: 0.0513|| 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: 3:49:46 || Estimated Time: 1 day, 17:13:12
2023-07-11 19:39:58,696 semantic_segmentation INFO: Iters: 4260/50000 || Lr: 0.018460 || Task Loss: 0.1165 || KD Loss: 0.0422|| 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: 3:50:18 || Estimated Time: 1 day, 17:12:43
2023-07-11 19:40:31,465 semantic_segmentation INFO: Iters: 4270/50000 || Lr: 0.018456 || Task Loss: 0.1525 || KD Loss: 0.0568|| 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: 3:50:51 || Estimated Time: 1 day, 17:12:14
2023-07-11 19:41:04,190 semantic_segmentation INFO: Iters: 4280/50000 || Lr: 0.018453 || Task Loss: 0.1544 || KD Loss: 0.0420|| 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: 3:51:24 || Estimated Time: 1 day, 17:11:45
2023-07-11 19:41:36,971 semantic_segmentation INFO: Iters: 4290/50000 || Lr: 0.018449 || Task Loss: 0.1489 || KD Loss: 0.0512|| 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: 3:51:57 || Estimated Time: 1 day, 17:11:17
2023-07-11 19:42:09,767 semantic_segmentation INFO: Iters: 4300/50000 || Lr: 0.018445 || Task Loss: 0.1535 || KD Loss: 0.0500|| 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: 3:52:30 || Estimated Time: 1 day, 17:10:48
2023-07-11 19:42:42,529 semantic_segmentation INFO: Iters: 4310/50000 || Lr: 0.018442 || Task Loss: 0.1566 || KD Loss: 0.0458|| 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: 3:53:02 || Estimated Time: 1 day, 17:10:18
2023-07-11 19:43:15,286 semantic_segmentation INFO: Iters: 4320/50000 || Lr: 0.018438 || Task Loss: 0.1313 || KD Loss: 0.0511|| 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: 3:53:35 || Estimated Time: 1 day, 17:09:49
2023-07-11 19:43:48,070 semantic_segmentation INFO: Iters: 4330/50000 || Lr: 0.018435 || Task Loss: 0.1336 || 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: 3:54:08 || Estimated Time: 1 day, 17:09:20
2023-07-11 19:44:20,830 semantic_segmentation INFO: Iters: 4340/50000 || Lr: 0.018431 || Task Loss: 0.1458 || KD Loss: 0.0589|| 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: 3:54:41 || Estimated Time: 1 day, 17:08:51
2023-07-11 19:44:53,600 semantic_segmentation INFO: Iters: 4350/50000 || Lr: 0.018427 || Task Loss: 0.1416 || KD Loss: 0.0569|| 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: 3:55:13 || Estimated Time: 1 day, 17:08:22
2023-07-11 19:45:26,369 semantic_segmentation INFO: Iters: 4360/50000 || Lr: 0.018424 || Task Loss: 0.1566 || KD Loss: 0.0547|| 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: 3:55:46 || Estimated Time: 1 day, 17:07:53
2023-07-11 19:45:59,115 semantic_segmentation INFO: Iters: 4370/50000 || Lr: 0.018420 || Task Loss: 0.1400 || KD Loss: 0.0493|| 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: 3:56:19 || Estimated Time: 1 day, 17:07:25
2023-07-11 19:46:31,912 semantic_segmentation INFO: Iters: 4380/50000 || Lr: 0.018416 || Task Loss: 0.1731 || KD Loss: 0.0484|| 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: 3:56:52 || Estimated Time: 1 day, 17:06:55
2023-07-11 19:47:04,686 semantic_segmentation INFO: Iters: 4390/50000 || Lr: 0.018413 || Task Loss: 0.1384 || KD Loss: 0.0409|| 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: 3:57:24 || Estimated Time: 1 day, 17:06:26
2023-07-11 19:47:37,425 semantic_segmentation INFO: Iters: 4400/50000 || Lr: 0.018409 || Task Loss: 0.1821 || KD Loss: 0.0557|| 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: 3:57:57 || Estimated Time: 1 day, 17:05:57
2023-07-11 19:48:10,203 semantic_segmentation INFO: Iters: 4410/50000 || Lr: 0.018406 || Task Loss: 0.1576 || KD Loss: 0.0567|| 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: 3:58:30 || Estimated Time: 1 day, 17:05:28
2023-07-11 19:48:42,971 semantic_segmentation INFO: Iters: 4420/50000 || Lr: 0.018402 || Task Loss: 0.1568 || 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: 3:59:03 || Estimated Time: 1 day, 17:04:59
2023-07-11 19:49:15,729 semantic_segmentation INFO: Iters: 4430/50000 || Lr: 0.018398 || Task Loss: 0.1364 || KD Loss: 0.0463|| 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: 3:59:35 || Estimated Time: 1 day, 17:04:30
2023-07-11 19:49:48,497 semantic_segmentation INFO: Iters: 4440/50000 || Lr: 0.018395 || Task Loss: 0.1588 || KD Loss: 0.0476|| 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: 4:00:08 || Estimated Time: 1 day, 17:04:00
2023-07-11 19:50:21,268 semantic_segmentation INFO: Iters: 4450/50000 || Lr: 0.018391 || Task Loss: 0.1375 || KD Loss: 0.0576|| 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: 4:00:41 || Estimated Time: 1 day, 17:03:31
2023-07-11 19:50:54,028 semantic_segmentation INFO: Iters: 4460/50000 || Lr: 0.018387 || Task Loss: 0.1606 || KD Loss: 0.0477|| 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: 4:01:14 || Estimated Time: 1 day, 17:03:02
2023-07-11 19:51:26,811 semantic_segmentation INFO: Iters: 4470/50000 || Lr: 0.018384 || Task Loss: 0.1408 || KD Loss: 0.0527|| 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: 4:01:47 || Estimated Time: 1 day, 17:02:33
2023-07-11 19:51:59,580 semantic_segmentation INFO: Iters: 4480/50000 || Lr: 0.018380 || Task Loss: 0.1694 || KD Loss: 0.0626|| 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: 4:02:19 || Estimated Time: 1 day, 17:02:04
2023-07-11 19:52:32,337 semantic_segmentation INFO: Iters: 4490/50000 || Lr: 0.018376 || Task Loss: 0.1256 || KD Loss: 0.0463|| 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: 4:02:52 || Estimated Time: 1 day, 17:01:34
2023-07-11 19:53:05,116 semantic_segmentation INFO: Iters: 4500/50000 || Lr: 0.018373 || Task Loss: 0.1438 || KD Loss: 0.0495|| 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: 4:03:25 || Estimated Time: 1 day, 17:01:05
2023-07-11 19:53:37,868 semantic_segmentation INFO: Iters: 4510/50000 || Lr: 0.018369 || Task Loss: 0.1369 || KD Loss: 0.0511|| 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: 4:03:58 || Estimated Time: 1 day, 17:00:36
2023-07-11 19:54:10,638 semantic_segmentation INFO: Iters: 4520/50000 || Lr: 0.018366 || Task Loss: 0.1637 || KD Loss: 0.0610|| 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: 4:04:30 || Estimated Time: 1 day, 17:00:07
2023-07-11 19:54:43,414 semantic_segmentation INFO: Iters: 4530/50000 || Lr: 0.018362 || Task Loss: 0.1445 || KD Loss: 0.0472|| 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: 4:05:03 || Estimated Time: 1 day, 16:59:37
2023-07-11 19:55:16,175 semantic_segmentation INFO: Iters: 4540/50000 || Lr: 0.018358 || Task Loss: 0.1638 || KD Loss: 0.0501|| 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: 4:05:36 || Estimated Time: 1 day, 16:59:08
2023-07-11 19:55:48,944 semantic_segmentation INFO: Iters: 4550/50000 || Lr: 0.018355 || Task Loss: 0.1245 || KD Loss: 0.0452|| 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: 4:06:09 || Estimated Time: 1 day, 16:58:38
2023-07-11 19:56:21,706 semantic_segmentation INFO: Iters: 4560/50000 || Lr: 0.018351 || Task Loss: 0.1323 || KD Loss: 0.0537|| 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: 4:06:41 || Estimated Time: 1 day, 16:58:09
2023-07-11 19:56:54,495 semantic_segmentation INFO: Iters: 4570/50000 || Lr: 0.018347 || Task Loss: 0.1424 || KD Loss: 0.0501|| 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: 4:07:14 || Estimated Time: 1 day, 16:57:40
2023-07-11 19:57:27,270 semantic_segmentation INFO: Iters: 4580/50000 || Lr: 0.018344 || Task Loss: 0.1596 || KD Loss: 0.0523|| 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: 4:07:47 || Estimated Time: 1 day, 16:57:10
2023-07-11 19:58:00,017 semantic_segmentation INFO: Iters: 4590/50000 || Lr: 0.018340 || Task Loss: 0.1546 || KD Loss: 0.0550|| 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: 4:08:20 || Estimated Time: 1 day, 16:56:41
2023-07-11 19:58:32,808 semantic_segmentation INFO: Iters: 4600/50000 || Lr: 0.018336 || Task Loss: 0.1303 || KD Loss: 0.0461|| 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: 4:08:53 || Estimated Time: 1 day, 16:56:11
2023-07-11 19:59:05,571 semantic_segmentation INFO: Iters: 4610/50000 || Lr: 0.018333 || Task Loss: 0.1511 || KD Loss: 0.0442|| 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: 4:09:25 || Estimated Time: 1 day, 16:55:42
2023-07-11 19:59:38,319 semantic_segmentation INFO: Iters: 4620/50000 || Lr: 0.018329 || Task Loss: 0.1304 || KD Loss: 0.0426|| 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: 4:09:58 || Estimated Time: 1 day, 16:55:12
2023-07-11 20:00:11,082 semantic_segmentation INFO: Iters: 4630/50000 || Lr: 0.018326 || Task Loss: 0.1439 || KD Loss: 0.0517|| 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: 4:10:31 || Estimated Time: 1 day, 16:54:43
2023-07-11 20:00:43,867 semantic_segmentation INFO: Iters: 4640/50000 || Lr: 0.018322 || Task Loss: 0.1408 || KD Loss: 0.0495|| 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: 4:11:04 || Estimated Time: 1 day, 16:54:14
2023-07-11 20:01:16,625 semantic_segmentation INFO: Iters: 4650/50000 || Lr: 0.018318 || Task Loss: 0.1382 || KD Loss: 0.0502|| 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: 4:11:36 || Estimated Time: 1 day, 16:53:44
2023-07-11 20:01:49,414 semantic_segmentation INFO: Iters: 4660/50000 || Lr: 0.018315 || Task Loss: 0.1282 || KD Loss: 0.0496|| 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: 4:12:09 || Estimated Time: 1 day, 16:53:15
2023-07-11 20:02:22,155 semantic_segmentation INFO: Iters: 4670/50000 || Lr: 0.018311 || Task Loss: 0.1378 || KD Loss: 0.0474|| 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: 4:12:42 || Estimated Time: 1 day, 16:52:45
2023-07-11 20:02:54,941 semantic_segmentation INFO: Iters: 4680/50000 || Lr: 0.018307 || Task Loss: 0.1138 || KD Loss: 0.0391|| 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: 4:13:15 || Estimated Time: 1 day, 16:52:16
2023-07-11 20:03:27,705 semantic_segmentation INFO: Iters: 4690/50000 || Lr: 0.018304 || Task Loss: 0.1645 || KD Loss: 0.0438|| 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: 4:13:47 || Estimated Time: 1 day, 16:51:46
2023-07-11 20:04:00,454 semantic_segmentation INFO: Iters: 4700/50000 || Lr: 0.018300 || Task Loss: 0.1546 || KD Loss: 0.0478|| 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: 4:14:20 || Estimated Time: 1 day, 16:51:16
2023-07-11 20:04:33,241 semantic_segmentation INFO: Iters: 4710/50000 || Lr: 0.018296 || Task Loss: 0.1435 || KD Loss: 0.0431|| 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: 4:14:53 || Estimated Time: 1 day, 16:50:47
2023-07-11 20:05:05,997 semantic_segmentation INFO: Iters: 4720/50000 || Lr: 0.018293 || Task Loss: 0.1237 || KD Loss: 0.0432|| 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: 4:15:26 || Estimated Time: 1 day, 16:50:17
2023-07-11 20:05:38,767 semantic_segmentation INFO: Iters: 4730/50000 || Lr: 0.018289 || Task Loss: 0.1488 || KD Loss: 0.0457|| 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: 4:15:59 || Estimated Time: 1 day, 16:49:48
2023-07-11 20:06:11,552 semantic_segmentation INFO: Iters: 4740/50000 || Lr: 0.018286 || Task Loss: 0.1376 || KD Loss: 0.0460|| 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: 4:16:31 || Estimated Time: 1 day, 16:49:18
2023-07-11 20:06:44,294 semantic_segmentation INFO: Iters: 4750/50000 || Lr: 0.018282 || Task Loss: 0.1571 || KD Loss: 0.0549|| 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: 4:17:04 || Estimated Time: 1 day, 16:48:49
2023-07-11 20:07:17,061 semantic_segmentation INFO: Iters: 4760/50000 || Lr: 0.018278 || Task Loss: 0.1508 || KD Loss: 0.0461|| 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: 4:17:37 || Estimated Time: 1 day, 16:48:19
2023-07-11 20:07:50,024 semantic_segmentation INFO: Iters: 4770/50000 || Lr: 0.018275 || Task Loss: 0.1328 || KD Loss: 0.0396|| 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: 4:18:10 || Estimated Time: 1 day, 16:47:51
2023-07-11 20:08:22,809 semantic_segmentation INFO: Iters: 4780/50000 || Lr: 0.018271 || Task Loss: 0.1514 || KD Loss: 0.0530|| 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: 4:18:43 || Estimated Time: 1 day, 16:47:21
2023-07-11 20:08:55,570 semantic_segmentation INFO: Iters: 4790/50000 || Lr: 0.018267 || Task Loss: 0.1481 || KD Loss: 0.0426|| 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: 4:19:15 || Estimated Time: 1 day, 16:46:52
2023-07-11 20:09:28,368 semantic_segmentation INFO: Iters: 4800/50000 || Lr: 0.018264 || Task Loss: 0.1573 || KD Loss: 0.0610|| 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: 4:19:48 || Estimated Time: 1 day, 16:46:22
2023-07-11 20:09:28,463 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 20:09:28,679 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.958, mIoU: 0.705
2023-07-11 20:09:28,693 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.958, mIoU: 0.710
2023-07-11 20:09:28,706 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.958, mIoU: 0.711
2023-07-11 20:09:28,720 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.958, mIoU: 0.709
2023-07-11 20:09:28,732 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.958, mIoU: 0.707
2023-07-11 20:09:28,745 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.958, mIoU: 0.710
2023-07-11 20:09:28,758 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.709
2023-07-11 20:09:28,771 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.957, mIoU: 0.703
2023-07-11 20:09:28,784 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.954, mIoU: 0.696
2023-07-11 20:09:28,796 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.953, mIoU: 0.694
2023-07-11 20:09:28,809 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.953, mIoU: 0.695
2023-07-11 20:09:28,821 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.952, mIoU: 0.695
2023-07-11 20:09:28,834 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.953, mIoU: 0.699
2023-07-11 20:09:28,846 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.953, mIoU: 0.702
2023-07-11 20:09:28,859 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.954, mIoU: 0.703
2023-07-11 20:09:28,871 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.954, mIoU: 0.705
2023-07-11 20:09:28,884 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.955, mIoU: 0.706
2023-07-11 20:09:28,896 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.955, mIoU: 0.708
2023-07-11 20:09:28,909 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.954, mIoU: 0.707
2023-07-11 20:09:28,923 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.954, mIoU: 0.707
2023-07-11 20:09:28,936 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.954, mIoU: 0.709
2023-07-11 20:09:28,949 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.953, mIoU: 0.708
2023-07-11 20:09:28,962 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.954, mIoU: 0.709
2023-07-11 20:09:28,975 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.953, mIoU: 0.708
2023-07-11 20:09:28,988 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.953, mIoU: 0.709
2023-07-11 20:09:29,001 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.954, mIoU: 0.708
2023-07-11 20:09:29,014 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.954, mIoU: 0.708
2023-07-11 20:09:29,027 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.954, mIoU: 0.707
2023-07-11 20:09:29,040 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.954, mIoU: 0.709
2023-07-11 20:09:29,053 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.954, mIoU: 0.710
2023-07-11 20:09:29,066 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.954, mIoU: 0.710
2023-07-11 20:09:29,079 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.954, mIoU: 0.711
2023-07-11 20:09:29,092 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.953, mIoU: 0.711
2023-07-11 20:09:29,105 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.953, mIoU: 0.711
2023-07-11 20:09:29,118 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.953, mIoU: 0.712
2023-07-11 20:09:29,131 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.952, mIoU: 0.711
2023-07-11 20:09:29,144 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.712
2023-07-11 20:09:29,158 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.713
2023-07-11 20:09:29,171 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.713
2023-07-11 20:09:29,184 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.715
2023-07-11 20:09:29,197 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.716
2023-07-11 20:09:29,211 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.952, mIoU: 0.718
2023-07-11 20:09:29,224 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.952, mIoU: 0.720
2023-07-11 20:09:29,237 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.721
2023-07-11 20:09:29,250 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.722
2023-07-11 20:09:29,263 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.952, mIoU: 0.724
2023-07-11 20:09:29,277 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.952, mIoU: 0.725
2023-07-11 20:09:29,290 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.953, mIoU: 0.727
2023-07-11 20:09:29,303 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.952, mIoU: 0.728
2023-07-11 20:09:29,317 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.952, mIoU: 0.728
2023-07-11 20:09:29,332 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.952, mIoU: 0.729
2023-07-11 20:09:29,346 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.951, mIoU: 0.730
2023-07-11 20:09:29,359 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.951, mIoU: 0.731
2023-07-11 20:09:29,373 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.951, mIoU: 0.732
2023-07-11 20:09:29,386 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.950, mIoU: 0.733
2023-07-11 20:09:29,400 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.950, mIoU: 0.734
2023-07-11 20:09:29,413 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.950, mIoU: 0.734
2023-07-11 20:09:29,427 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.950, mIoU: 0.735
2023-07-11 20:09:29,440 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.950, mIoU: 0.736
2023-07-11 20:09:29,454 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.949, mIoU: 0.737
2023-07-11 20:09:29,467 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.949, mIoU: 0.737
2023-07-11 20:09:29,480 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.949, mIoU: 0.738
2023-07-11 20:09:29,494 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.949, mIoU: 0.738
2023-07-11 20:09:29,507 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.948, mIoU: 0.739
2023-07-11 20:09:29,520 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.948, mIoU: 0.739
2023-07-11 20:09:29,534 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.947, mIoU: 0.740
2023-07-11 20:09:29,547 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.947, mIoU: 0.740
2023-07-11 20:09:29,560 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.946, mIoU: 0.741
2023-07-11 20:09:29,573 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.946, mIoU: 0.742
2023-07-11 20:09:29,587 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.946, mIoU: 0.743
2023-07-11 20:09:29,600 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.945, mIoU: 0.743
2023-07-11 20:09:29,613 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.945, mIoU: 0.744
2023-07-11 20:09:29,627 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.945, mIoU: 0.744
2023-07-11 20:09:29,640 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.945, mIoU: 0.744
2023-07-11 20:09:29,653 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 20:09:29,667 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 20:09:29,680 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 20:09:29,693 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 20:09:29,707 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 20:09:29,720 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.943, mIoU: 0.742
2023-07-11 20:09:29,733 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.943, mIoU: 0.742
2023-07-11 20:09:29,746 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.943, mIoU: 0.742
2023-07-11 20:09:29,760 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.943, mIoU: 0.741
2023-07-11 20:09:29,773 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.942, mIoU: 0.740
2023-07-11 20:09:29,786 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.942, mIoU: 0.740
2023-07-11 20:09:29,799 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.942, mIoU: 0.740
2023-07-11 20:09:29,813 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.942, mIoU: 0.741
2023-07-11 20:09:29,826 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.942, mIoU: 0.741
2023-07-11 20:09:29,839 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.942, mIoU: 0.741
2023-07-11 20:09:29,852 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.942, mIoU: 0.740
2023-07-11 20:09:29,865 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.943, mIoU: 0.739
2023-07-11 20:09:29,878 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.943, mIoU: 0.740
2023-07-11 20:09:29,891 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.943, mIoU: 0.740
2023-07-11 20:09:29,903 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.943, mIoU: 0.740
2023-07-11 20:09:29,916 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.943, mIoU: 0.740
2023-07-11 20:09:29,929 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.944, mIoU: 0.740
2023-07-11 20:09:29,943 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.944, mIoU: 0.740
2023-07-11 20:09:29,956 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.944, mIoU: 0.741
2023-07-11 20:09:29,970 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.944, mIoU: 0.741
2023-07-11 20:09:29,983 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.944, mIoU: 0.741
2023-07-11 20:09:29,997 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.944, mIoU: 0.741
2023-07-11 20:10:02,974 semantic_segmentation INFO: Iters: 4810/50000 || Lr: 0.018260 || Task Loss: 0.1373 || KD Loss: 0.0436|| 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: 4:20:23 || Estimated Time: 1 day, 16:46:10
2023-07-11 20:10:35,732 semantic_segmentation INFO: Iters: 4820/50000 || Lr: 0.018256 || Task Loss: 0.1162 || KD Loss: 0.0425|| 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: 4:20:55 || Estimated Time: 1 day, 16:45:40
2023-07-11 20:11:08,485 semantic_segmentation INFO: Iters: 4830/50000 || Lr: 0.018253 || Task Loss: 0.1567 || KD Loss: 0.0499|| 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: 4:21:28 || Estimated Time: 1 day, 16:45:10
2023-07-11 20:11:41,247 semantic_segmentation INFO: Iters: 4840/50000 || Lr: 0.018249 || Task Loss: 0.1320 || KD Loss: 0.0504|| 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: 4:22:01 || Estimated Time: 1 day, 16:44:40
2023-07-11 20:12:14,037 semantic_segmentation INFO: Iters: 4850/50000 || Lr: 0.018246 || Task Loss: 0.1250 || KD Loss: 0.0516|| 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: 4:22:34 || Estimated Time: 1 day, 16:44:10
2023-07-11 20:12:46,780 semantic_segmentation INFO: Iters: 4860/50000 || Lr: 0.018242 || Task Loss: 0.1543 || KD Loss: 0.0481|| 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: 4:23:07 || Estimated Time: 1 day, 16:43:41
2023-07-11 20:13:19,570 semantic_segmentation INFO: Iters: 4870/50000 || Lr: 0.018238 || Task Loss: 0.1439 || KD Loss: 0.0427|| 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: 4:23:39 || Estimated Time: 1 day, 16:43:11
2023-07-11 20:13:52,320 semantic_segmentation INFO: Iters: 4880/50000 || Lr: 0.018235 || Task Loss: 0.1297 || KD Loss: 0.0430|| 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: 4:24:12 || Estimated Time: 1 day, 16:42:41
2023-07-11 20:14:25,097 semantic_segmentation INFO: Iters: 4890/50000 || Lr: 0.018231 || Task Loss: 0.1329 || KD Loss: 0.0438|| 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: 4:24:45 || Estimated Time: 1 day, 16:42:11
2023-07-11 20:14:57,879 semantic_segmentation INFO: Iters: 4900/50000 || Lr: 0.018227 || Task Loss: 0.1564 || KD Loss: 0.0477|| 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: 4:25:18 || Estimated Time: 1 day, 16:41:41
2023-07-11 20:15:30,657 semantic_segmentation INFO: Iters: 4910/50000 || Lr: 0.018224 || Task Loss: 0.1321 || KD Loss: 0.0396|| 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: 4:25:50 || Estimated Time: 1 day, 16:41:11
2023-07-11 20:16:03,406 semantic_segmentation INFO: Iters: 4920/50000 || Lr: 0.018220 || Task Loss: 0.1459 || KD Loss: 0.0450|| 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: 4:26:23 || Estimated Time: 1 day, 16:40:42
2023-07-11 20:16:36,159 semantic_segmentation INFO: Iters: 4930/50000 || Lr: 0.018216 || Task Loss: 0.1467 || KD Loss: 0.0490|| 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: 4:26:56 || Estimated Time: 1 day, 16:40:12
2023-07-11 20:17:08,928 semantic_segmentation INFO: Iters: 4940/50000 || Lr: 0.018213 || Task Loss: 0.1492 || KD Loss: 0.0421|| 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: 4:27:29 || Estimated Time: 1 day, 16:39:41
2023-07-11 20:17:41,706 semantic_segmentation INFO: Iters: 4950/50000 || Lr: 0.018209 || Task Loss: 0.1164 || KD Loss: 0.0412|| 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: 4:28:01 || Estimated Time: 1 day, 16:39:12
2023-07-11 20:18:14,480 semantic_segmentation INFO: Iters: 4960/50000 || Lr: 0.018206 || Task Loss: 0.1424 || KD Loss: 0.0409|| 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: 4:28:34 || Estimated Time: 1 day, 16:38:42
2023-07-11 20:18:47,445 semantic_segmentation INFO: Iters: 4970/50000 || Lr: 0.018202 || Task Loss: 0.1420 || KD Loss: 0.0421|| 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: 4:29:07 || Estimated Time: 1 day, 16:38:14
2023-07-11 20:19:20,648 semantic_segmentation INFO: Iters: 4980/50000 || Lr: 0.018198 || Task Loss: 0.1579 || KD Loss: 0.0474|| 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: 4:29:40 || Estimated Time: 1 day, 16:37:48
2023-07-11 20:19:53,606 semantic_segmentation INFO: Iters: 4990/50000 || Lr: 0.018195 || Task Loss: 0.1299 || KD Loss: 0.0446|| 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: 4:30:13 || Estimated Time: 1 day, 16:37:19
2023-07-11 20:20:26,372 semantic_segmentation INFO: Iters: 5000/50000 || Lr: 0.018191 || Task Loss: 0.1392 || KD Loss: 0.0453|| 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: 4:30:46 || Estimated Time: 1 day, 16:36:49
2023-07-11 20:20:59,134 semantic_segmentation INFO: Iters: 5010/50000 || Lr: 0.018187 || Task Loss: 0.1401 || KD Loss: 0.0548|| 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: 4:31:19 || Estimated Time: 1 day, 16:36:19
2023-07-11 20:21:31,874 semantic_segmentation INFO: Iters: 5020/50000 || Lr: 0.018184 || Task Loss: 0.1395 || KD Loss: 0.0475|| 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: 4:31:52 || Estimated Time: 1 day, 16:35:49
2023-07-11 20:22:04,676 semantic_segmentation INFO: Iters: 5030/50000 || Lr: 0.018180 || Task Loss: 0.1382 || KD Loss: 0.0405|| 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: 4:32:24 || Estimated Time: 1 day, 16:35:19
2023-07-11 20:22:37,449 semantic_segmentation INFO: Iters: 5040/50000 || Lr: 0.018176 || Task Loss: 0.1492 || KD Loss: 0.0489|| 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: 4:32:57 || Estimated Time: 1 day, 16:34:49
2023-07-11 20:23:10,194 semantic_segmentation INFO: Iters: 5050/50000 || Lr: 0.018173 || Task Loss: 0.1596 || KD Loss: 0.0497|| 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: 4:33:30 || Estimated Time: 1 day, 16:34:19
2023-07-11 20:23:42,963 semantic_segmentation INFO: Iters: 5060/50000 || Lr: 0.018169 || Task Loss: 0.1283 || KD Loss: 0.0439|| 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: 4:34:03 || Estimated Time: 1 day, 16:33:49
2023-07-11 20:24:15,734 semantic_segmentation INFO: Iters: 5070/50000 || Lr: 0.018166 || Task Loss: 0.1491 || KD Loss: 0.0536|| 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: 4:34:35 || Estimated Time: 1 day, 16:33:19
2023-07-11 20:24:48,485 semantic_segmentation INFO: Iters: 5080/50000 || Lr: 0.018162 || Task Loss: 0.1455 || KD Loss: 0.0515|| 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: 4:35:08 || Estimated Time: 1 day, 16:32:49
2023-07-11 20:25:21,266 semantic_segmentation INFO: Iters: 5090/50000 || Lr: 0.018158 || Task Loss: 0.1248 || KD Loss: 0.0504|| 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: 4:35:41 || Estimated Time: 1 day, 16:32:19
2023-07-11 20:25:54,014 semantic_segmentation INFO: Iters: 5100/50000 || Lr: 0.018155 || Task Loss: 0.1316 || KD Loss: 0.0456|| 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: 4:36:14 || Estimated Time: 1 day, 16:31:49
2023-07-11 20:26:26,802 semantic_segmentation INFO: Iters: 5110/50000 || Lr: 0.018151 || Task Loss: 0.1439 || KD Loss: 0.0484|| 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: 4:36:47 || Estimated Time: 1 day, 16:31:19
2023-07-11 20:26:59,581 semantic_segmentation INFO: Iters: 5120/50000 || Lr: 0.018147 || Task Loss: 0.1727 || KD Loss: 0.0496|| 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: 4:37:19 || Estimated Time: 1 day, 16:30:49
2023-07-11 20:27:32,332 semantic_segmentation INFO: Iters: 5130/50000 || Lr: 0.018144 || Task Loss: 0.1186 || KD Loss: 0.0422|| 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: 4:37:52 || Estimated Time: 1 day, 16:30:18
2023-07-11 20:28:05,113 semantic_segmentation INFO: Iters: 5140/50000 || Lr: 0.018140 || Task Loss: 0.1532 || KD Loss: 0.0425|| 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: 4:38:25 || Estimated Time: 1 day, 16:29:48
2023-07-11 20:28:37,896 semantic_segmentation INFO: Iters: 5150/50000 || Lr: 0.018136 || Task Loss: 0.1439 || KD Loss: 0.0493|| 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: 4:38:58 || Estimated Time: 1 day, 16:29:18
2023-07-11 20:29:10,642 semantic_segmentation INFO: Iters: 5160/50000 || Lr: 0.018133 || Task Loss: 0.1301 || KD Loss: 0.0436|| 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: 4:39:30 || Estimated Time: 1 day, 16:28:48
2023-07-11 20:29:43,399 semantic_segmentation INFO: Iters: 5170/50000 || Lr: 0.018129 || Task Loss: 0.1440 || KD Loss: 0.0449|| 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: 4:40:03 || Estimated Time: 1 day, 16:28:18
2023-07-11 20:30:16,191 semantic_segmentation INFO: Iters: 5180/50000 || Lr: 0.018126 || Task Loss: 0.1430 || KD Loss: 0.0403|| 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: 4:40:36 || Estimated Time: 1 day, 16:27:48
2023-07-11 20:30:48,954 semantic_segmentation INFO: Iters: 5190/50000 || Lr: 0.018122 || Task Loss: 0.1300 || KD Loss: 0.0427|| 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: 4:41:09 || Estimated Time: 1 day, 16:27:17
2023-07-11 20:31:21,713 semantic_segmentation INFO: Iters: 5200/50000 || Lr: 0.018118 || Task Loss: 0.1169 || KD Loss: 0.0398|| 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: 4:41:41 || Estimated Time: 1 day, 16:26:47
2023-07-11 20:31:54,485 semantic_segmentation INFO: Iters: 5210/50000 || Lr: 0.018115 || Task Loss: 0.1345 || 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: 4:42:14 || Estimated Time: 1 day, 16:26:17
2023-07-11 20:32:27,226 semantic_segmentation INFO: Iters: 5220/50000 || Lr: 0.018111 || Task Loss: 0.1386 || KD Loss: 0.0514|| 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: 4:42:47 || Estimated Time: 1 day, 16:25:47
2023-07-11 20:33:00,018 semantic_segmentation INFO: Iters: 5230/50000 || Lr: 0.018107 || Task Loss: 0.1312 || KD Loss: 0.0493|| 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: 4:43:20 || Estimated Time: 1 day, 16:25:17
2023-07-11 20:33:32,796 semantic_segmentation INFO: Iters: 5240/50000 || Lr: 0.018104 || Task Loss: 0.1470 || KD Loss: 0.0472|| 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: 4:43:53 || Estimated Time: 1 day, 16:24:46
2023-07-11 20:34:05,546 semantic_segmentation INFO: Iters: 5250/50000 || Lr: 0.018100 || Task Loss: 0.1210 || KD Loss: 0.0388|| 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: 4:44:25 || Estimated Time: 1 day, 16:24:16
2023-07-11 20:34:38,342 semantic_segmentation INFO: Iters: 5260/50000 || Lr: 0.018096 || Task Loss: 0.1222 || KD Loss: 0.0452|| 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: 4:44:58 || Estimated Time: 1 day, 16:23:46
2023-07-11 20:35:11,097 semantic_segmentation INFO: Iters: 5270/50000 || Lr: 0.018093 || Task Loss: 0.1391 || KD Loss: 0.0434|| 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: 4:45:31 || Estimated Time: 1 day, 16:23:15
2023-07-11 20:35:43,866 semantic_segmentation INFO: Iters: 5280/50000 || Lr: 0.018089 || Task Loss: 0.1309 || KD Loss: 0.0419|| 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: 4:46:04 || Estimated Time: 1 day, 16:22:45
2023-07-11 20:36:16,635 semantic_segmentation INFO: Iters: 5290/50000 || Lr: 0.018085 || Task Loss: 0.1378 || KD Loss: 0.0422|| 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: 4:46:36 || Estimated Time: 1 day, 16:22:15
2023-07-11 20:36:49,407 semantic_segmentation INFO: Iters: 5300/50000 || Lr: 0.018082 || Task Loss: 0.1206 || KD Loss: 0.0424|| 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: 4:47:09 || Estimated Time: 1 day, 16:21:45
2023-07-11 20:37:22,175 semantic_segmentation INFO: Iters: 5310/50000 || Lr: 0.018078 || Task Loss: 0.1384 || KD Loss: 0.0474|| 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: 4:47:42 || Estimated Time: 1 day, 16:21:14
2023-07-11 20:37:54,949 semantic_segmentation INFO: Iters: 5320/50000 || Lr: 0.018075 || Task Loss: 0.1303 || KD Loss: 0.0415|| 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: 4:48:15 || Estimated Time: 1 day, 16:20:44
2023-07-11 20:38:27,714 semantic_segmentation INFO: Iters: 5330/50000 || Lr: 0.018071 || Task Loss: 0.1441 || KD Loss: 0.0489|| 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: 4:48:47 || Estimated Time: 1 day, 16:20:14
2023-07-11 20:39:00,480 semantic_segmentation INFO: Iters: 5340/50000 || Lr: 0.018067 || Task Loss: 0.1490 || KD Loss: 0.0521|| 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: 4:49:20 || Estimated Time: 1 day, 16:19:43
2023-07-11 20:39:33,268 semantic_segmentation INFO: Iters: 5350/50000 || Lr: 0.018064 || Task Loss: 0.1443 || KD Loss: 0.0426|| 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: 4:49:53 || Estimated Time: 1 day, 16:19:13
2023-07-11 20:40:06,035 semantic_segmentation INFO: Iters: 5360/50000 || Lr: 0.018060 || Task Loss: 0.1481 || KD Loss: 0.0398|| 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: 4:50:26 || Estimated Time: 1 day, 16:18:43
2023-07-11 20:40:38,801 semantic_segmentation INFO: Iters: 5370/50000 || Lr: 0.018056 || Task Loss: 0.1310 || KD Loss: 0.0420|| 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: 4:50:59 || Estimated Time: 1 day, 16:18:13
2023-07-11 20:41:11,578 semantic_segmentation INFO: Iters: 5380/50000 || Lr: 0.018053 || Task Loss: 0.1318 || KD Loss: 0.0542|| 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: 4:51:31 || Estimated Time: 1 day, 16:17:42
2023-07-11 20:41:44,369 semantic_segmentation INFO: Iters: 5390/50000 || Lr: 0.018049 || Task Loss: 0.1578 || KD Loss: 0.0403|| 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: 4:52:04 || Estimated Time: 1 day, 16:17:12
2023-07-11 20:42:17,118 semantic_segmentation INFO: Iters: 5400/50000 || Lr: 0.018045 || Task Loss: 0.1237 || KD Loss: 0.0462|| 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: 4:52:37 || Estimated Time: 1 day, 16:16:41
2023-07-11 20:42:49,884 semantic_segmentation INFO: Iters: 5410/50000 || Lr: 0.018042 || Task Loss: 0.1603 || KD Loss: 0.0470|| 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: 4:53:10 || Estimated Time: 1 day, 16:16:11
2023-07-11 20:43:22,846 semantic_segmentation INFO: Iters: 5420/50000 || Lr: 0.018038 || Task Loss: 0.1493 || KD Loss: 0.0451|| 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: 4:53:43 || Estimated Time: 1 day, 16:15:42
2023-07-11 20:43:55,496 semantic_segmentation INFO: Iters: 5430/50000 || Lr: 0.018035 || Task Loss: 0.1463 || KD Loss: 0.0470|| 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: 4:54:15 || Estimated Time: 1 day, 16:15:11
2023-07-11 20:44:27,617 semantic_segmentation INFO: Iters: 5440/50000 || Lr: 0.018031 || Task Loss: 0.1564 || KD Loss: 0.0559|| 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: 4:54:47 || Estimated Time: 1 day, 16:14:35
2023-07-11 20:44:59,429 semantic_segmentation INFO: Iters: 5450/50000 || Lr: 0.018027 || Task Loss: 0.1493 || KD Loss: 0.0449|| 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: 4:55:19 || Estimated Time: 1 day, 16:13:57
2023-07-11 20:45:30,973 semantic_segmentation INFO: Iters: 5460/50000 || Lr: 0.018024 || Task Loss: 0.1480 || KD Loss: 0.0467|| 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: 4:55:51 || Estimated Time: 1 day, 16:13:17
2023-07-11 20:46:02,276 semantic_segmentation INFO: Iters: 5470/50000 || Lr: 0.018020 || Task Loss: 0.1480 || KD Loss: 0.0433|| 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: 4:56:22 || Estimated Time: 1 day, 16:12:34
2023-07-11 20:46:33,466 semantic_segmentation INFO: Iters: 5480/50000 || Lr: 0.018016 || Task Loss: 0.1301 || KD Loss: 0.0441|| 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: 4:56:53 || Estimated Time: 1 day, 16:11:51
2023-07-11 20:47:04,579 semantic_segmentation INFO: Iters: 5490/50000 || Lr: 0.018013 || Task Loss: 0.1331 || KD Loss: 0.0425|| 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: 4:57:24 || Estimated Time: 1 day, 16:11:08
2023-07-11 20:47:35,567 semantic_segmentation INFO: Iters: 5500/50000 || Lr: 0.018009 || Task Loss: 0.1448 || KD Loss: 0.0411|| 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: 4:57:55 || Estimated Time: 1 day, 16:10:23
2023-07-11 20:48:06,527 semantic_segmentation INFO: Iters: 5510/50000 || Lr: 0.018005 || Task Loss: 0.1529 || KD Loss: 0.0492|| 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: 4:58:26 || Estimated Time: 1 day, 16:09:38
2023-07-11 20:48:37,466 semantic_segmentation INFO: Iters: 5520/50000 || Lr: 0.018002 || Task Loss: 0.1221 || KD Loss: 0.0394|| 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: 4:58:57 || Estimated Time: 1 day, 16:08:53
2023-07-11 20:49:08,391 semantic_segmentation INFO: Iters: 5530/50000 || Lr: 0.017998 || Task Loss: 0.1593 || KD Loss: 0.0513|| 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: 4:59:28 || Estimated Time: 1 day, 16:08:08
2023-07-11 20:49:39,335 semantic_segmentation INFO: Iters: 5540/50000 || Lr: 0.017994 || Task Loss: 0.1387 || KD Loss: 0.0395|| 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: 4:59:59 || Estimated Time: 1 day, 16:07:23
2023-07-11 20:50:10,248 semantic_segmentation INFO: Iters: 5550/50000 || Lr: 0.017991 || Task Loss: 0.1236 || KD Loss: 0.0491|| 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: 5:00:30 || Estimated Time: 1 day, 16:06:38
2023-07-11 20:50:41,111 semantic_segmentation INFO: Iters: 5560/50000 || Lr: 0.017987 || Task Loss: 0.1644 || KD Loss: 0.0411|| 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: 5:01:01 || Estimated Time: 1 day, 16:05:52
2023-07-11 20:51:11,994 semantic_segmentation INFO: Iters: 5570/50000 || Lr: 0.017984 || Task Loss: 0.1334 || KD Loss: 0.0416|| 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: 5:01:32 || Estimated Time: 1 day, 16:05:07
2023-07-11 20:51:42,848 semantic_segmentation INFO: Iters: 5580/50000 || Lr: 0.017980 || Task Loss: 0.1424 || KD Loss: 0.0424|| 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: 5:02:03 || Estimated Time: 1 day, 16:04:22
2023-07-11 20:52:13,708 semantic_segmentation INFO: Iters: 5590/50000 || Lr: 0.017976 || Task Loss: 0.1392 || KD Loss: 0.0408|| 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: 5:02:33 || Estimated Time: 1 day, 16:03:36
2023-07-11 20:52:44,557 semantic_segmentation INFO: Iters: 5600/50000 || Lr: 0.017973 || Task Loss: 0.1252 || KD Loss: 0.0477|| 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: 5:03:04 || Estimated Time: 1 day, 16:02:51
2023-07-11 20:52:44,645 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 20:52:44,839 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.960, mIoU: 0.716
2023-07-11 20:52:44,854 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.959, mIoU: 0.721
2023-07-11 20:52:44,866 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.721
2023-07-11 20:52:44,878 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.960, mIoU: 0.714
2023-07-11 20:52:44,890 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.709
2023-07-11 20:52:44,902 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.711
2023-07-11 20:52:44,914 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.960, mIoU: 0.710
2023-07-11 20:52:44,926 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.959, mIoU: 0.709
2023-07-11 20:52:44,938 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.959, mIoU: 0.707
2023-07-11 20:52:44,950 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.959, mIoU: 0.707
2023-07-11 20:52:44,962 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.707
2023-07-11 20:52:44,974 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.957, mIoU: 0.705
2023-07-11 20:52:44,986 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.709
2023-07-11 20:52:44,998 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.710
2023-07-11 20:52:45,010 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.711
2023-07-11 20:52:45,022 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.714
2023-07-11 20:52:45,034 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.958, mIoU: 0.715
2023-07-11 20:52:45,047 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.958, mIoU: 0.716
2023-07-11 20:52:45,059 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.716
2023-07-11 20:52:45,071 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.716
2023-07-11 20:52:45,083 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.717
2023-07-11 20:52:45,095 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.956, mIoU: 0.715
2023-07-11 20:52:45,107 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.956, mIoU: 0.715
2023-07-11 20:52:45,119 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.955, mIoU: 0.714
2023-07-11 20:52:45,131 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.955, mIoU: 0.715
2023-07-11 20:52:45,143 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.955, mIoU: 0.715
2023-07-11 20:52:45,155 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.955, mIoU: 0.714
2023-07-11 20:52:45,168 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.955, mIoU: 0.714
2023-07-11 20:52:45,180 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.955, mIoU: 0.715
2023-07-11 20:52:45,192 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.955, mIoU: 0.714
2023-07-11 20:52:45,204 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.956, mIoU: 0.716
2023-07-11 20:52:45,216 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 20:52:45,229 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 20:52:45,242 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 20:52:45,254 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.955, mIoU: 0.717
2023-07-11 20:52:45,267 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.716
2023-07-11 20:52:45,279 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.716
2023-07-11 20:52:45,292 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.717
2023-07-11 20:52:45,304 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.953, mIoU: 0.717
2023-07-11 20:52:45,317 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.953, mIoU: 0.718
2023-07-11 20:52:45,329 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.953, mIoU: 0.719
2023-07-11 20:52:45,342 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.720
2023-07-11 20:52:45,354 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.954, mIoU: 0.722
2023-07-11 20:52:45,367 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.954, mIoU: 0.723
2023-07-11 20:52:45,379 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.953, mIoU: 0.724
2023-07-11 20:52:45,392 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.953, mIoU: 0.725
2023-07-11 20:52:45,404 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.953, mIoU: 0.726
2023-07-11 20:52:45,416 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.953, mIoU: 0.728
2023-07-11 20:52:45,428 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.953, mIoU: 0.729
2023-07-11 20:52:45,441 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.953, mIoU: 0.729
2023-07-11 20:52:45,453 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.952, mIoU: 0.730
2023-07-11 20:52:45,465 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.952, mIoU: 0.732
2023-07-11 20:52:45,477 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.952, mIoU: 0.733
2023-07-11 20:52:45,490 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.951, mIoU: 0.734
2023-07-11 20:52:45,502 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.951, mIoU: 0.735
2023-07-11 20:52:45,514 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.951, mIoU: 0.736
2023-07-11 20:52:45,526 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.950, mIoU: 0.736
2023-07-11 20:52:45,538 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.950, mIoU: 0.737
2023-07-11 20:52:45,550 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.950, mIoU: 0.738
2023-07-11 20:52:45,563 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.950, mIoU: 0.738
2023-07-11 20:52:45,575 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.949, mIoU: 0.739
2023-07-11 20:52:45,587 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.949, mIoU: 0.740
2023-07-11 20:52:45,599 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.949, mIoU: 0.740
2023-07-11 20:52:45,612 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.948, mIoU: 0.740
2023-07-11 20:52:45,625 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.948, mIoU: 0.741
2023-07-11 20:52:45,638 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.947, mIoU: 0.741
2023-07-11 20:52:45,650 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.947, mIoU: 0.742
2023-07-11 20:52:45,663 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.947, mIoU: 0.743
2023-07-11 20:52:45,676 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.946, mIoU: 0.744
2023-07-11 20:52:45,689 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.946, mIoU: 0.745
2023-07-11 20:52:45,701 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.946, mIoU: 0.745
2023-07-11 20:52:45,714 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.945, mIoU: 0.745
2023-07-11 20:52:45,727 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.945, mIoU: 0.745
2023-07-11 20:52:45,739 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.945, mIoU: 0.745
2023-07-11 20:52:45,752 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.945, mIoU: 0.745
2023-07-11 20:52:45,765 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.945, mIoU: 0.745
2023-07-11 20:52:45,777 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.945, mIoU: 0.745
2023-07-11 20:52:45,790 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.944, mIoU: 0.744
2023-07-11 20:52:45,802 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.944, mIoU: 0.744
2023-07-11 20:52:45,814 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.944, mIoU: 0.742
2023-07-11 20:52:45,826 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.944, mIoU: 0.742
2023-07-11 20:52:45,838 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.944, mIoU: 0.741
2023-07-11 20:52:45,851 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.943, mIoU: 0.740
2023-07-11 20:52:45,864 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.943, mIoU: 0.739
2023-07-11 20:52:45,876 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.943, mIoU: 0.739
2023-07-11 20:52:45,888 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.943, mIoU: 0.739
2023-07-11 20:52:45,900 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.943, mIoU: 0.739
2023-07-11 20:52:45,912 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.943, mIoU: 0.739
2023-07-11 20:52:45,923 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.943, mIoU: 0.738
2023-07-11 20:52:45,935 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 20:52:45,947 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 20:52:45,959 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 20:52:45,970 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 20:52:45,982 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 20:52:45,994 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 20:52:46,006 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.943, mIoU: 0.736
2023-07-11 20:52:46,017 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 20:52:46,029 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-11 20:52:46,041 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.944, mIoU: 0.737
2023-07-11 20:52:46,053 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.944, mIoU: 0.737
2023-07-11 20:52:46,065 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.944, mIoU: 0.737
2023-07-11 20:53:17,262 semantic_segmentation INFO: Iters: 5610/50000 || Lr: 0.017969 || Task Loss: 0.1287 || KD Loss: 0.0374|| 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: 5:03:37 || Estimated Time: 1 day, 16:02:20
2023-07-11 20:53:48,100 semantic_segmentation INFO: Iters: 5620/50000 || Lr: 0.017965 || Task Loss: 0.1521 || KD Loss: 0.0474|| 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: 5:04:08 || Estimated Time: 1 day, 16:01:35
2023-07-11 20:54:18,899 semantic_segmentation INFO: Iters: 5630/50000 || Lr: 0.017962 || Task Loss: 0.1438 || KD Loss: 0.0441|| 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: 5:04:39 || Estimated Time: 1 day, 16:00:49
2023-07-11 20:54:49,753 semantic_segmentation INFO: Iters: 5640/50000 || Lr: 0.017958 || Task Loss: 0.1553 || KD Loss: 0.0460|| 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: 5:05:10 || Estimated Time: 1 day, 16:00:04
2023-07-11 20:55:20,599 semantic_segmentation INFO: Iters: 5650/50000 || Lr: 0.017954 || Task Loss: 0.1263 || KD Loss: 0.0435|| 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: 5:05:40 || Estimated Time: 1 day, 15:59:19
2023-07-11 20:55:51,422 semantic_segmentation INFO: Iters: 5660/50000 || Lr: 0.017951 || Task Loss: 0.1153 || 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: 5:06:11 || Estimated Time: 1 day, 15:58:34
2023-07-11 20:56:22,274 semantic_segmentation INFO: Iters: 5670/50000 || Lr: 0.017947 || Task Loss: 0.1210 || KD Loss: 0.0389|| 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: 5:06:42 || Estimated Time: 1 day, 15:57:49
2023-07-11 20:56:53,097 semantic_segmentation INFO: Iters: 5680/50000 || Lr: 0.017943 || Task Loss: 0.1300 || KD Loss: 0.0416|| 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: 5:07:13 || Estimated Time: 1 day, 15:57:04
2023-07-11 20:57:23,940 semantic_segmentation INFO: Iters: 5690/50000 || Lr: 0.017940 || Task Loss: 0.1634 || KD Loss: 0.0415|| 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: 5:07:44 || Estimated Time: 1 day, 15:56:19
2023-07-11 20:57:54,783 semantic_segmentation INFO: Iters: 5700/50000 || Lr: 0.017936 || Task Loss: 0.1413 || KD Loss: 0.0475|| 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: 5:08:15 || Estimated Time: 1 day, 15:55:34
2023-07-11 20:58:25,619 semantic_segmentation INFO: Iters: 5710/50000 || Lr: 0.017933 || Task Loss: 0.1233 || KD Loss: 0.0442|| 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: 5:08:45 || Estimated Time: 1 day, 15:54:49
2023-07-11 20:58:56,478 semantic_segmentation INFO: Iters: 5720/50000 || Lr: 0.017929 || Task Loss: 0.1314 || KD Loss: 0.0365|| 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: 5:09:16 || Estimated Time: 1 day, 15:54:04
2023-07-11 20:59:27,325 semantic_segmentation INFO: Iters: 5730/50000 || Lr: 0.017925 || Task Loss: 0.1521 || 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: 5:09:47 || Estimated Time: 1 day, 15:53:19
2023-07-11 20:59:58,189 semantic_segmentation INFO: Iters: 5740/50000 || Lr: 0.017922 || Task Loss: 0.1286 || KD Loss: 0.0428|| 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: 5:10:18 || Estimated Time: 1 day, 15:52:35
2023-07-11 21:00:29,035 semantic_segmentation INFO: Iters: 5750/50000 || Lr: 0.017918 || Task Loss: 0.1406 || KD Loss: 0.0438|| 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: 5:10:49 || Estimated Time: 1 day, 15:51:50
2023-07-11 21:00:59,837 semantic_segmentation INFO: Iters: 5760/50000 || Lr: 0.017914 || Task Loss: 0.1353 || KD Loss: 0.0393|| 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: 5:11:20 || Estimated Time: 1 day, 15:51:05
2023-07-11 21:01:30,649 semantic_segmentation INFO: Iters: 5770/50000 || Lr: 0.017911 || Task Loss: 0.1368 || KD Loss: 0.0386|| 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: 5:11:50 || Estimated Time: 1 day, 15:50:20
2023-07-11 21:02:01,467 semantic_segmentation INFO: Iters: 5780/50000 || Lr: 0.017907 || Task Loss: 0.1253 || KD Loss: 0.0451|| 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: 5:12:21 || Estimated Time: 1 day, 15:49:35
2023-07-11 21:02:32,267 semantic_segmentation INFO: Iters: 5790/50000 || Lr: 0.017903 || Task Loss: 0.1298 || KD Loss: 0.0411|| 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: 5:12:52 || Estimated Time: 1 day, 15:48:51
2023-07-11 21:03:03,082 semantic_segmentation INFO: Iters: 5800/50000 || Lr: 0.017900 || Task Loss: 0.1368 || KD Loss: 0.0428|| 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: 5:13:23 || Estimated Time: 1 day, 15:48:06
2023-07-11 21:03:33,910 semantic_segmentation INFO: Iters: 5810/50000 || Lr: 0.017896 || Task Loss: 0.1212 || KD Loss: 0.0420|| 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: 5:13:54 || Estimated Time: 1 day, 15:47:22
2023-07-11 21:04:04,715 semantic_segmentation INFO: Iters: 5820/50000 || Lr: 0.017892 || Task Loss: 0.1526 || KD Loss: 0.0569|| 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: 5:14:24 || Estimated Time: 1 day, 15:46:37
2023-07-11 21:04:35,537 semantic_segmentation INFO: Iters: 5830/50000 || Lr: 0.017889 || Task Loss: 0.1363 || KD Loss: 0.0472|| 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: 5:14:55 || Estimated Time: 1 day, 15:45:52
2023-07-11 21:05:06,338 semantic_segmentation INFO: Iters: 5840/50000 || Lr: 0.017885 || Task Loss: 0.1368 || KD Loss: 0.0401|| 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: 5:15:26 || Estimated Time: 1 day, 15:45:08
2023-07-11 21:05:37,136 semantic_segmentation INFO: Iters: 5850/50000 || Lr: 0.017881 || Task Loss: 0.1334 || KD Loss: 0.0412|| 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: 5:15:57 || Estimated Time: 1 day, 15:44:23
2023-07-11 21:06:07,937 semantic_segmentation INFO: Iters: 5860/50000 || Lr: 0.017878 || Task Loss: 0.1328 || KD Loss: 0.0403|| 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: 5:16:28 || Estimated Time: 1 day, 15:43:39
2023-07-11 21:06:38,762 semantic_segmentation INFO: Iters: 5870/50000 || Lr: 0.017874 || Task Loss: 0.1400 || KD Loss: 0.0412|| 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: 5:16:59 || Estimated Time: 1 day, 15:42:55
2023-07-11 21:07:09,585 semantic_segmentation INFO: Iters: 5880/50000 || Lr: 0.017871 || Task Loss: 0.1291 || KD Loss: 0.0459|| 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: 5:17:29 || Estimated Time: 1 day, 15:42:10
2023-07-11 21:07:40,374 semantic_segmentation INFO: Iters: 5890/50000 || Lr: 0.017867 || Task Loss: 0.1479 || KD Loss: 0.0532|| 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: 5:18:00 || Estimated Time: 1 day, 15:41:26
2023-07-11 21:08:11,138 semantic_segmentation INFO: Iters: 5900/50000 || Lr: 0.017863 || Task Loss: 0.1253 || KD Loss: 0.0363|| 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: 5:18:31 || Estimated Time: 1 day, 15:40:41
2023-07-11 21:08:41,903 semantic_segmentation INFO: Iters: 5910/50000 || Lr: 0.017860 || Task Loss: 0.1518 || KD Loss: 0.0398|| 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: 5:19:02 || Estimated Time: 1 day, 15:39:57
2023-07-11 21:09:12,723 semantic_segmentation INFO: Iters: 5920/50000 || Lr: 0.017856 || Task Loss: 0.1638 || KD Loss: 0.0442|| 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: 5:19:32 || Estimated Time: 1 day, 15:39:13
2023-07-11 21:09:43,531 semantic_segmentation INFO: Iters: 5930/50000 || Lr: 0.017852 || Task Loss: 0.1130 || KD Loss: 0.0391|| 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: 5:20:03 || Estimated Time: 1 day, 15:38:29
2023-07-11 21:10:14,349 semantic_segmentation INFO: Iters: 5940/50000 || Lr: 0.017849 || Task Loss: 0.1297 || KD Loss: 0.0581|| 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: 5:20:34 || Estimated Time: 1 day, 15:37:45
2023-07-11 21:10:45,163 semantic_segmentation INFO: Iters: 5950/50000 || Lr: 0.017845 || Task Loss: 0.1321 || KD Loss: 0.0423|| 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: 5:21:05 || Estimated Time: 1 day, 15:37:01
2023-07-11 21:11:16,005 semantic_segmentation INFO: Iters: 5960/50000 || Lr: 0.017841 || Task Loss: 0.1179 || KD Loss: 0.0450|| 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: 5:21:36 || Estimated Time: 1 day, 15:36:17
2023-07-11 21:11:46,852 semantic_segmentation INFO: Iters: 5970/50000 || Lr: 0.017838 || Task Loss: 0.1575 || KD Loss: 0.0456|| 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: 5:22:07 || Estimated Time: 1 day, 15:35:33
2023-07-11 21:12:17,701 semantic_segmentation INFO: Iters: 5980/50000 || Lr: 0.017834 || Task Loss: 0.1470 || KD Loss: 0.0433|| 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: 5:22:37 || Estimated Time: 1 day, 15:34:50
2023-07-11 21:12:48,536 semantic_segmentation INFO: Iters: 5990/50000 || Lr: 0.017830 || Task Loss: 0.1304 || KD Loss: 0.0445|| 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: 5:23:08 || Estimated Time: 1 day, 15:34:06
2023-07-11 21:13:19,380 semantic_segmentation INFO: Iters: 6000/50000 || Lr: 0.017827 || Task Loss: 0.1262 || KD Loss: 0.0445|| 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: 5:23:39 || Estimated Time: 1 day, 15:33:23
2023-07-11 21:13:50,202 semantic_segmentation INFO: Iters: 6010/50000 || Lr: 0.017823 || Task Loss: 0.1441 || KD Loss: 0.0398|| 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: 5:24:10 || Estimated Time: 1 day, 15:32:39
2023-07-11 21:14:21,025 semantic_segmentation INFO: Iters: 6020/50000 || Lr: 0.017820 || Task Loss: 0.1364 || KD Loss: 0.0418|| 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: 5:24:41 || Estimated Time: 1 day, 15:31:55
2023-07-11 21:14:51,850 semantic_segmentation INFO: Iters: 6030/50000 || Lr: 0.017816 || Task Loss: 0.1426 || KD Loss: 0.0467|| 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: 5:25:12 || Estimated Time: 1 day, 15:31:12
2023-07-11 21:15:22,642 semantic_segmentation INFO: Iters: 6040/50000 || Lr: 0.017812 || Task Loss: 0.1099 || KD Loss: 0.0379|| 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: 5:25:42 || Estimated Time: 1 day, 15:30:28
2023-07-11 21:15:53,475 semantic_segmentation INFO: Iters: 6050/50000 || Lr: 0.017809 || Task Loss: 0.1141 || KD Loss: 0.0462|| 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: 5:26:13 || Estimated Time: 1 day, 15:29:45
2023-07-11 21:16:24,309 semantic_segmentation INFO: Iters: 6060/50000 || Lr: 0.017805 || Task Loss: 0.1289 || KD Loss: 0.0394|| 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: 5:26:44 || Estimated Time: 1 day, 15:29:01
2023-07-11 21:16:55,167 semantic_segmentation INFO: Iters: 6070/50000 || Lr: 0.017801 || Task Loss: 0.1431 || KD Loss: 0.0410|| 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: 5:27:15 || Estimated Time: 1 day, 15:28:18
2023-07-11 21:17:25,988 semantic_segmentation INFO: Iters: 6080/50000 || Lr: 0.017798 || Task Loss: 0.1260 || KD Loss: 0.0421|| 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: 5:27:46 || Estimated Time: 1 day, 15:27:35
2023-07-11 21:17:56,795 semantic_segmentation INFO: Iters: 6090/50000 || Lr: 0.017794 || Task Loss: 0.1213 || KD Loss: 0.0370|| 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: 5:28:17 || Estimated Time: 1 day, 15:26:51
2023-07-11 21:18:27,590 semantic_segmentation INFO: Iters: 6100/50000 || Lr: 0.017790 || Task Loss: 0.1289 || KD Loss: 0.0442|| 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: 5:28:47 || Estimated Time: 1 day, 15:26:08
2023-07-11 21:18:58,416 semantic_segmentation INFO: Iters: 6110/50000 || Lr: 0.017787 || Task Loss: 0.1290 || KD Loss: 0.0458|| 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: 5:29:18 || Estimated Time: 1 day, 15:25:25
2023-07-11 21:19:29,244 semantic_segmentation INFO: Iters: 6120/50000 || Lr: 0.017783 || Task Loss: 0.1530 || KD Loss: 0.0521|| 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: 5:29:49 || Estimated Time: 1 day, 15:24:42
2023-07-11 21:20:00,079 semantic_segmentation INFO: Iters: 6130/50000 || Lr: 0.017779 || Task Loss: 0.1444 || KD Loss: 0.0345|| 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: 5:30:20 || Estimated Time: 1 day, 15:23:58
2023-07-11 21:20:30,880 semantic_segmentation INFO: Iters: 6140/50000 || Lr: 0.017776 || Task Loss: 0.1217 || KD Loss: 0.0457|| 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: 5:30:51 || Estimated Time: 1 day, 15:23:15
2023-07-11 21:21:01,638 semantic_segmentation INFO: Iters: 6150/50000 || Lr: 0.017772 || Task Loss: 0.1247 || KD Loss: 0.0410|| 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: 5:31:21 || Estimated Time: 1 day, 15:22:32
2023-07-11 21:21:32,455 semantic_segmentation INFO: Iters: 6160/50000 || Lr: 0.017768 || Task Loss: 0.1193 || KD Loss: 0.0367|| 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: 5:31:52 || Estimated Time: 1 day, 15:21:49
2023-07-11 21:22:03,221 semantic_segmentation INFO: Iters: 6170/50000 || Lr: 0.017765 || Task Loss: 0.1459 || KD Loss: 0.0481|| 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: 5:32:23 || Estimated Time: 1 day, 15:21:05
2023-07-11 21:22:34,025 semantic_segmentation INFO: Iters: 6180/50000 || Lr: 0.017761 || Task Loss: 0.1341 || KD Loss: 0.0488|| 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: 5:32:54 || Estimated Time: 1 day, 15:20:22
2023-07-11 21:23:04,860 semantic_segmentation INFO: Iters: 6190/50000 || Lr: 0.017758 || Task Loss: 0.1301 || KD Loss: 0.0393|| 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: 5:33:25 || Estimated Time: 1 day, 15:19:39
2023-07-11 21:23:35,650 semantic_segmentation INFO: Iters: 6200/50000 || Lr: 0.017754 || Task Loss: 0.1318 || KD Loss: 0.0458|| 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: 5:33:55 || Estimated Time: 1 day, 15:18:56
2023-07-11 21:24:06,476 semantic_segmentation INFO: Iters: 6210/50000 || Lr: 0.017750 || Task Loss: 0.1779 || KD Loss: 0.0452|| 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: 5:34:26 || Estimated Time: 1 day, 15:18:13
2023-07-11 21:24:37,289 semantic_segmentation INFO: Iters: 6220/50000 || Lr: 0.017747 || Task Loss: 0.1302 || KD Loss: 0.0392|| 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: 5:34:57 || Estimated Time: 1 day, 15:17:31
2023-07-11 21:25:08,125 semantic_segmentation INFO: Iters: 6230/50000 || Lr: 0.017743 || Task Loss: 0.1231 || KD Loss: 0.0474|| 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: 5:35:28 || Estimated Time: 1 day, 15:16:48
2023-07-11 21:25:38,927 semantic_segmentation INFO: Iters: 6240/50000 || Lr: 0.017739 || Task Loss: 0.1388 || KD Loss: 0.0433|| 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: 5:35:59 || Estimated Time: 1 day, 15:16:05
2023-07-11 21:26:09,806 semantic_segmentation INFO: Iters: 6250/50000 || Lr: 0.017736 || Task Loss: 0.1321 || KD Loss: 0.0389|| 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: 5:36:30 || Estimated Time: 1 day, 15:15:23
2023-07-11 21:26:40,682 semantic_segmentation INFO: Iters: 6260/50000 || Lr: 0.017732 || Task Loss: 0.1375 || KD Loss: 0.0386|| 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: 5:37:00 || Estimated Time: 1 day, 15:14:40
2023-07-11 21:27:11,488 semantic_segmentation INFO: Iters: 6270/50000 || Lr: 0.017728 || Task Loss: 0.1337 || KD Loss: 0.0439|| 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: 5:37:31 || Estimated Time: 1 day, 15:13:58
2023-07-11 21:27:42,336 semantic_segmentation INFO: Iters: 6280/50000 || Lr: 0.017725 || Task Loss: 0.1495 || 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: 5:38:02 || Estimated Time: 1 day, 15:13:15
2023-07-11 21:28:13,158 semantic_segmentation INFO: Iters: 6290/50000 || Lr: 0.017721 || Task Loss: 0.1306 || KD Loss: 0.0388|| 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: 5:38:33 || Estimated Time: 1 day, 15:12:33
2023-07-11 21:28:44,037 semantic_segmentation INFO: Iters: 6300/50000 || Lr: 0.017717 || Task Loss: 0.1260 || KD Loss: 0.0393|| 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: 5:39:04 || Estimated Time: 1 day, 15:11:51
2023-07-11 21:29:14,866 semantic_segmentation INFO: Iters: 6310/50000 || Lr: 0.017714 || Task Loss: 0.1272 || KD Loss: 0.0428|| 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: 5:39:35 || Estimated Time: 1 day, 15:11:08
2023-07-11 21:29:45,698 semantic_segmentation INFO: Iters: 6320/50000 || Lr: 0.017710 || Task Loss: 0.1404 || KD Loss: 0.0513|| 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: 5:40:05 || Estimated Time: 1 day, 15:10:26
2023-07-11 21:30:16,512 semantic_segmentation INFO: Iters: 6330/50000 || Lr: 0.017706 || Task Loss: 0.1292 || KD Loss: 0.0435|| 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: 5:40:36 || Estimated Time: 1 day, 15:09:43
2023-07-11 21:30:47,322 semantic_segmentation INFO: Iters: 6340/50000 || Lr: 0.017703 || Task Loss: 0.1569 || KD Loss: 0.0545|| 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: 5:41:07 || Estimated Time: 1 day, 15:09:01
2023-07-11 21:31:18,153 semantic_segmentation INFO: Iters: 6350/50000 || Lr: 0.017699 || Task Loss: 0.1198 || KD Loss: 0.0388|| 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: 5:41:38 || Estimated Time: 1 day, 15:08:19
2023-07-11 21:31:48,957 semantic_segmentation INFO: Iters: 6360/50000 || Lr: 0.017695 || Task Loss: 0.1147 || KD Loss: 0.0402|| 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: 5:42:09 || Estimated Time: 1 day, 15:07:36
2023-07-11 21:32:19,831 semantic_segmentation INFO: Iters: 6370/50000 || Lr: 0.017692 || Task Loss: 0.1049 || KD Loss: 0.0413|| 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: 5:42:40 || Estimated Time: 1 day, 15:06:55
2023-07-11 21:32:50,651 semantic_segmentation INFO: Iters: 6380/50000 || Lr: 0.017688 || Task Loss: 0.1445 || KD Loss: 0.0503|| 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: 5:43:10 || Estimated Time: 1 day, 15:06:12
2023-07-11 21:33:21,499 semantic_segmentation INFO: Iters: 6390/50000 || Lr: 0.017685 || Task Loss: 0.1466 || KD Loss: 0.0433|| 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: 5:43:41 || Estimated Time: 1 day, 15:05:30
2023-07-11 21:33:52,345 semantic_segmentation INFO: Iters: 6400/50000 || Lr: 0.017681 || Task Loss: 0.1275 || KD Loss: 0.0368|| 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: 5:44:12 || Estimated Time: 1 day, 15:04:48
2023-07-11 21:33:52,421 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 21:33:52,616 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.959, mIoU: 0.712
2023-07-11 21:33:52,634 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.958, mIoU: 0.714
2023-07-11 21:33:52,647 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.958, mIoU: 0.711
2023-07-11 21:33:52,660 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.958, mIoU: 0.708
2023-07-11 21:33:52,671 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.956, mIoU: 0.702
2023-07-11 21:33:52,683 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.957, mIoU: 0.704
2023-07-11 21:33:52,695 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.957, mIoU: 0.704
2023-07-11 21:33:52,707 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.957, mIoU: 0.704
2023-07-11 21:33:52,719 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.957, mIoU: 0.703
2023-07-11 21:33:52,731 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.957, mIoU: 0.703
2023-07-11 21:33:52,743 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.957, mIoU: 0.706
2023-07-11 21:33:52,755 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.956, mIoU: 0.705
2023-07-11 21:33:52,767 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.956, mIoU: 0.709
2023-07-11 21:33:52,779 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.956, mIoU: 0.711
2023-07-11 21:33:52,790 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.956, mIoU: 0.713
2023-07-11 21:33:52,802 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.716
2023-07-11 21:33:52,814 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.957, mIoU: 0.716
2023-07-11 21:33:52,827 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.957, mIoU: 0.718
2023-07-11 21:33:52,839 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.956, mIoU: 0.717
2023-07-11 21:33:52,851 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.717
2023-07-11 21:33:52,864 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.718
2023-07-11 21:33:52,876 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 21:33:52,888 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 21:33:52,900 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.955, mIoU: 0.715
2023-07-11 21:33:52,913 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 21:33:52,925 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 21:33:52,937 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.955, mIoU: 0.715
2023-07-11 21:33:52,949 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.955, mIoU: 0.714
2023-07-11 21:33:52,961 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.955, mIoU: 0.715
2023-07-11 21:33:52,974 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.955, mIoU: 0.714
2023-07-11 21:33:52,986 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 21:33:52,998 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.717
2023-07-11 21:33:53,011 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.955, mIoU: 0.717
2023-07-11 21:33:53,023 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.716
2023-07-11 21:33:53,035 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.717
2023-07-11 21:33:53,047 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.954, mIoU: 0.716
2023-07-11 21:33:53,060 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.953, mIoU: 0.716
2023-07-11 21:33:53,072 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.953, mIoU: 0.718
2023-07-11 21:33:53,085 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.953, mIoU: 0.718
2023-07-11 21:33:53,097 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.953, mIoU: 0.720
2023-07-11 21:33:53,109 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.953, mIoU: 0.721
2023-07-11 21:33:53,122 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.723
2023-07-11 21:33:53,134 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.725
2023-07-11 21:33:53,146 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.954, mIoU: 0.726
2023-07-11 21:33:53,159 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.953, mIoU: 0.727
2023-07-11 21:33:53,171 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.953, mIoU: 0.729
2023-07-11 21:33:53,183 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.953, mIoU: 0.730
2023-07-11 21:33:53,196 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.953, mIoU: 0.731
2023-07-11 21:33:53,208 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.953, mIoU: 0.733
2023-07-11 21:33:53,220 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.953, mIoU: 0.733
2023-07-11 21:33:53,233 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.952, mIoU: 0.734
2023-07-11 21:33:53,246 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.952, mIoU: 0.735
2023-07-11 21:33:53,258 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.952, mIoU: 0.737
2023-07-11 21:33:53,271 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.951, mIoU: 0.737
2023-07-11 21:33:53,284 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.951, mIoU: 0.738
2023-07-11 21:33:53,297 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.951, mIoU: 0.739
2023-07-11 21:33:53,309 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.951, mIoU: 0.739
2023-07-11 21:33:53,322 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.950, mIoU: 0.740
2023-07-11 21:33:53,334 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.950, mIoU: 0.741
2023-07-11 21:33:53,347 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.950, mIoU: 0.742
2023-07-11 21:33:53,359 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.950, mIoU: 0.743
2023-07-11 21:33:53,372 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.950, mIoU: 0.743
2023-07-11 21:33:53,385 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.949, mIoU: 0.744
2023-07-11 21:33:53,397 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.949, mIoU: 0.744
2023-07-11 21:33:53,410 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.948, mIoU: 0.745
2023-07-11 21:33:53,422 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.948, mIoU: 0.745
2023-07-11 21:33:53,435 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.948, mIoU: 0.746
2023-07-11 21:33:53,447 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.947, mIoU: 0.748
2023-07-11 21:33:53,459 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.947, mIoU: 0.749
2023-07-11 21:33:53,471 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.947, mIoU: 0.750
2023-07-11 21:33:53,482 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.947, mIoU: 0.751
2023-07-11 21:33:53,494 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.946, mIoU: 0.751
2023-07-11 21:33:53,506 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.946, mIoU: 0.752
2023-07-11 21:33:53,518 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.946, mIoU: 0.752
2023-07-11 21:33:53,530 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.946, mIoU: 0.751
2023-07-11 21:33:53,542 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.946, mIoU: 0.751
2023-07-11 21:33:53,554 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.945, mIoU: 0.751
2023-07-11 21:33:53,566 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.945, mIoU: 0.751
2023-07-11 21:33:53,578 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.945, mIoU: 0.751
2023-07-11 21:33:53,590 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.945, mIoU: 0.750
2023-07-11 21:33:53,601 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.945, mIoU: 0.750
2023-07-11 21:33:53,613 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.945, mIoU: 0.750
2023-07-11 21:33:53,625 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.944, mIoU: 0.749
2023-07-11 21:33:53,638 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.944, mIoU: 0.748
2023-07-11 21:33:53,651 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.944, mIoU: 0.748
2023-07-11 21:33:53,663 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.944, mIoU: 0.748
2023-07-11 21:33:53,675 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.944, mIoU: 0.748
2023-07-11 21:33:53,687 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.944, mIoU: 0.749
2023-07-11 21:33:53,699 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.944, mIoU: 0.748
2023-07-11 21:33:53,711 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.944, mIoU: 0.747
2023-07-11 21:33:53,722 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 21:33:53,734 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 21:33:53,746 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 21:33:53,758 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 21:33:53,770 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.944, mIoU: 0.747
2023-07-11 21:33:53,782 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.944, mIoU: 0.747
2023-07-11 21:33:53,793 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.944, mIoU: 0.747
2023-07-11 21:33:53,805 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 21:33:53,817 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 21:33:53,829 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 21:33:53,841 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.945, mIoU: 0.747
2023-07-11 21:34:24,974 semantic_segmentation INFO: Iters: 6410/50000 || Lr: 0.017677 || Task Loss: 0.1489 || KD Loss: 0.0404|| 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: 5:44:45 || Estimated Time: 1 day, 15:04:18
2023-07-11 21:34:55,806 semantic_segmentation INFO: Iters: 6420/50000 || Lr: 0.017674 || Task Loss: 0.1448 || KD Loss: 0.0358|| 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: 5:45:16 || Estimated Time: 1 day, 15:03:37
2023-07-11 21:35:26,672 semantic_segmentation INFO: Iters: 6430/50000 || Lr: 0.017670 || Task Loss: 0.1261 || KD Loss: 0.0441|| 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: 5:45:46 || Estimated Time: 1 day, 15:02:55
2023-07-11 21:35:57,546 semantic_segmentation INFO: Iters: 6440/50000 || Lr: 0.017666 || Task Loss: 0.1236 || KD Loss: 0.0406|| 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: 5:46:17 || Estimated Time: 1 day, 15:02:13
2023-07-11 21:36:28,401 semantic_segmentation INFO: Iters: 6450/50000 || Lr: 0.017663 || Task Loss: 0.1331 || KD Loss: 0.0429|| 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: 5:46:48 || Estimated Time: 1 day, 15:01:31
2023-07-11 21:36:59,277 semantic_segmentation INFO: Iters: 6460/50000 || Lr: 0.017659 || Task Loss: 0.1498 || KD Loss: 0.0454|| 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: 5:47:19 || Estimated Time: 1 day, 15:00:50
2023-07-11 21:37:30,137 semantic_segmentation INFO: Iters: 6470/50000 || Lr: 0.017655 || Task Loss: 0.1028 || KD Loss: 0.0378|| 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: 5:47:50 || Estimated Time: 1 day, 15:00:08
2023-07-11 21:38:00,969 semantic_segmentation INFO: Iters: 6480/50000 || Lr: 0.017652 || Task Loss: 0.1280 || KD Loss: 0.0387|| 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: 5:48:21 || Estimated Time: 1 day, 14:59:26
2023-07-11 21:38:31,803 semantic_segmentation INFO: Iters: 6490/50000 || Lr: 0.017648 || Task Loss: 0.1257 || KD Loss: 0.0419|| 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: 5:48:52 || Estimated Time: 1 day, 14:58:45
2023-07-11 21:39:02,662 semantic_segmentation INFO: Iters: 6500/50000 || Lr: 0.017644 || Task Loss: 0.1586 || KD Loss: 0.0485|| 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: 5:49:22 || Estimated Time: 1 day, 14:58:03
2023-07-11 21:39:33,499 semantic_segmentation INFO: Iters: 6510/50000 || Lr: 0.017641 || Task Loss: 0.1367 || KD Loss: 0.0389|| 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: 5:49:53 || Estimated Time: 1 day, 14:57:21
2023-07-11 21:40:04,351 semantic_segmentation INFO: Iters: 6520/50000 || Lr: 0.017637 || Task Loss: 0.1291 || KD Loss: 0.0363|| 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: 5:50:24 || Estimated Time: 1 day, 14:56:40
2023-07-11 21:40:35,217 semantic_segmentation INFO: Iters: 6530/50000 || Lr: 0.017633 || Task Loss: 0.1633 || 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: 5:50:55 || Estimated Time: 1 day, 14:55:58
2023-07-11 21:41:06,074 semantic_segmentation INFO: Iters: 6540/50000 || Lr: 0.017630 || Task Loss: 0.1171 || 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: 5:51:26 || Estimated Time: 1 day, 14:55:17
2023-07-11 21:41:36,927 semantic_segmentation INFO: Iters: 6550/50000 || Lr: 0.017626 || Task Loss: 0.1554 || KD Loss: 0.0361|| 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: 5:51:57 || Estimated Time: 1 day, 14:54:35
2023-07-11 21:42:07,810 semantic_segmentation INFO: Iters: 6560/50000 || Lr: 0.017622 || Task Loss: 0.1333 || KD Loss: 0.0454|| 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: 5:52:28 || Estimated Time: 1 day, 14:53:54
2023-07-11 21:42:38,638 semantic_segmentation INFO: Iters: 6570/50000 || Lr: 0.017619 || Task Loss: 0.1398 || KD Loss: 0.0416|| 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: 5:52:58 || Estimated Time: 1 day, 14:53:13
2023-07-11 21:43:09,517 semantic_segmentation INFO: Iters: 6580/50000 || Lr: 0.017615 || Task Loss: 0.1145 || KD Loss: 0.0457|| 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: 5:53:29 || Estimated Time: 1 day, 14:52:31
2023-07-11 21:43:40,377 semantic_segmentation INFO: Iters: 6590/50000 || Lr: 0.017612 || Task Loss: 0.1087 || KD Loss: 0.0398|| 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: 5:54:00 || Estimated Time: 1 day, 14:51:50
2023-07-11 21:44:11,247 semantic_segmentation INFO: Iters: 6600/50000 || Lr: 0.017608 || Task Loss: 0.1272 || KD Loss: 0.0497|| 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: 5:54:31 || Estimated Time: 1 day, 14:51:09
2023-07-11 21:44:42,062 semantic_segmentation INFO: Iters: 6610/50000 || Lr: 0.017604 || Task Loss: 0.1162 || KD Loss: 0.0402|| 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: 5:55:02 || Estimated Time: 1 day, 14:50:27
2023-07-11 21:45:12,892 semantic_segmentation INFO: Iters: 6620/50000 || Lr: 0.017601 || Task Loss: 0.1433 || KD Loss: 0.0428|| 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: 5:55:33 || Estimated Time: 1 day, 14:49:46
2023-07-11 21:45:43,728 semantic_segmentation INFO: Iters: 6630/50000 || Lr: 0.017597 || Task Loss: 0.1323 || KD Loss: 0.0411|| 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: 5:56:03 || Estimated Time: 1 day, 14:49:05
2023-07-11 21:46:14,588 semantic_segmentation INFO: Iters: 6640/50000 || Lr: 0.017593 || Task Loss: 0.1342 || KD Loss: 0.0392|| 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: 5:56:34 || Estimated Time: 1 day, 14:48:24
2023-07-11 21:46:45,432 semantic_segmentation INFO: Iters: 6650/50000 || Lr: 0.017590 || Task Loss: 0.1175 || KD Loss: 0.0418|| 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: 5:57:05 || Estimated Time: 1 day, 14:47:43
2023-07-11 21:47:16,272 semantic_segmentation INFO: Iters: 6660/50000 || Lr: 0.017586 || Task Loss: 0.1190 || KD Loss: 0.0419|| 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: 5:57:36 || Estimated Time: 1 day, 14:47:01
2023-07-11 21:47:47,090 semantic_segmentation INFO: Iters: 6670/50000 || Lr: 0.017582 || Task Loss: 0.1478 || KD Loss: 0.0471|| 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: 5:58:07 || Estimated Time: 1 day, 14:46:20
2023-07-11 21:48:17,907 semantic_segmentation INFO: Iters: 6680/50000 || Lr: 0.017579 || Task Loss: 0.1370 || KD Loss: 0.0387|| 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: 5:58:38 || Estimated Time: 1 day, 14:45:39
2023-07-11 21:48:48,759 semantic_segmentation INFO: Iters: 6690/50000 || Lr: 0.017575 || Task Loss: 0.1269 || KD Loss: 0.0391|| 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: 5:59:09 || Estimated Time: 1 day, 14:44:58
2023-07-11 21:49:19,623 semantic_segmentation INFO: Iters: 6700/50000 || Lr: 0.017571 || Task Loss: 0.1240 || KD Loss: 0.0390|| 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: 5:59:39 || Estimated Time: 1 day, 14:44:17
2023-07-11 21:49:50,490 semantic_segmentation INFO: Iters: 6710/50000 || Lr: 0.017568 || Task Loss: 0.1319 || KD Loss: 0.0400|| 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: 6:00:10 || Estimated Time: 1 day, 14:43:36
2023-07-11 21:50:21,340 semantic_segmentation INFO: Iters: 6720/50000 || Lr: 0.017564 || Task Loss: 0.1198 || 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: 6:00:41 || Estimated Time: 1 day, 14:42:55
2023-07-11 21:50:52,183 semantic_segmentation INFO: Iters: 6730/50000 || Lr: 0.017560 || Task Loss: 0.1223 || KD Loss: 0.0443|| 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: 6:01:12 || Estimated Time: 1 day, 14:42:14
2023-07-11 21:51:23,054 semantic_segmentation INFO: Iters: 6740/50000 || Lr: 0.017557 || Task Loss: 0.1212 || KD Loss: 0.0416|| 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: 6:01:43 || Estimated Time: 1 day, 14:41:33
2023-07-11 21:51:53,859 semantic_segmentation INFO: Iters: 6750/50000 || Lr: 0.017553 || Task Loss: 0.1189 || KD Loss: 0.0357|| 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: 6:02:14 || Estimated Time: 1 day, 14:40:52
2023-07-11 21:52:24,700 semantic_segmentation INFO: Iters: 6760/50000 || Lr: 0.017549 || Task Loss: 0.1576 || KD Loss: 0.0488|| 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: 6:02:44 || Estimated Time: 1 day, 14:40:11
2023-07-11 21:52:55,545 semantic_segmentation INFO: Iters: 6770/50000 || Lr: 0.017546 || Task Loss: 0.1306 || KD Loss: 0.0363|| 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: 6:03:15 || Estimated Time: 1 day, 14:39:31
2023-07-11 21:53:26,392 semantic_segmentation INFO: Iters: 6780/50000 || Lr: 0.017542 || Task Loss: 0.1283 || KD Loss: 0.0452|| 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: 6:03:46 || Estimated Time: 1 day, 14:38:50
2023-07-11 21:53:57,275 semantic_segmentation INFO: Iters: 6790/50000 || Lr: 0.017538 || Task Loss: 0.1152 || KD Loss: 0.0419|| 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: 6:04:17 || Estimated Time: 1 day, 14:38:09
2023-07-11 21:54:28,114 semantic_segmentation INFO: Iters: 6800/50000 || Lr: 0.017535 || Task Loss: 0.1217 || KD Loss: 0.0375|| 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: 6:04:48 || Estimated Time: 1 day, 14:37:28
2023-07-11 21:54:58,979 semantic_segmentation INFO: Iters: 6810/50000 || Lr: 0.017531 || Task Loss: 0.1284 || KD Loss: 0.0420|| 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: 6:05:19 || Estimated Time: 1 day, 14:36:48
2023-07-11 21:55:29,871 semantic_segmentation INFO: Iters: 6820/50000 || Lr: 0.017528 || Task Loss: 0.1234 || KD Loss: 0.0441|| 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: 6:05:50 || Estimated Time: 1 day, 14:36:08
2023-07-11 21:56:00,706 semantic_segmentation INFO: Iters: 6830/50000 || Lr: 0.017524 || Task Loss: 0.1439 || KD Loss: 0.0505|| 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: 6:06:20 || Estimated Time: 1 day, 14:35:27
2023-07-11 21:56:31,580 semantic_segmentation INFO: Iters: 6840/50000 || Lr: 0.017520 || Task Loss: 0.1294 || KD Loss: 0.0427|| 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: 6:06:51 || Estimated Time: 1 day, 14:34:46
2023-07-11 21:57:02,423 semantic_segmentation INFO: Iters: 6850/50000 || Lr: 0.017517 || Task Loss: 0.1762 || KD Loss: 0.0497|| 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: 6:07:22 || Estimated Time: 1 day, 14:34:06
2023-07-11 21:57:33,292 semantic_segmentation INFO: Iters: 6860/50000 || Lr: 0.017513 || Task Loss: 0.1498 || KD Loss: 0.0393|| 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: 6:07:53 || Estimated Time: 1 day, 14:33:25
2023-07-11 21:58:04,123 semantic_segmentation INFO: Iters: 6870/50000 || Lr: 0.017509 || Task Loss: 0.1835 || KD Loss: 0.0505|| 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: 6:08:24 || Estimated Time: 1 day, 14:32:45
2023-07-11 21:58:34,998 semantic_segmentation INFO: Iters: 6880/50000 || Lr: 0.017506 || Task Loss: 0.1226 || KD Loss: 0.0382|| 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: 6:08:55 || Estimated Time: 1 day, 14:32:04
2023-07-11 21:59:05,865 semantic_segmentation INFO: Iters: 6890/50000 || Lr: 0.017502 || Task Loss: 0.1485 || KD Loss: 0.0492|| 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: 6:09:26 || Estimated Time: 1 day, 14:31:24
2023-07-11 21:59:36,693 semantic_segmentation INFO: Iters: 6900/50000 || Lr: 0.017498 || Task Loss: 0.1307 || KD Loss: 0.0490|| 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: 6:09:56 || Estimated Time: 1 day, 14:30:44
2023-07-11 22:00:07,558 semantic_segmentation INFO: Iters: 6910/50000 || Lr: 0.017495 || Task Loss: 0.1394 || KD Loss: 0.0542|| 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: 6:10:27 || Estimated Time: 1 day, 14:30:03
2023-07-11 22:00:38,394 semantic_segmentation INFO: Iters: 6920/50000 || Lr: 0.017491 || Task Loss: 0.1183 || KD Loss: 0.0403|| 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: 6:10:58 || Estimated Time: 1 day, 14:29:23
2023-07-11 22:01:09,242 semantic_segmentation INFO: Iters: 6930/50000 || Lr: 0.017487 || Task Loss: 0.1365 || KD Loss: 0.0407|| 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: 6:11:29 || Estimated Time: 1 day, 14:28:42
2023-07-11 22:01:40,099 semantic_segmentation INFO: Iters: 6940/50000 || Lr: 0.017484 || Task Loss: 0.1333 || KD Loss: 0.0414|| 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: 6:12:00 || Estimated Time: 1 day, 14:28:02
2023-07-11 22:02:10,991 semantic_segmentation INFO: Iters: 6950/50000 || Lr: 0.017480 || Task Loss: 0.1384 || KD Loss: 0.0453|| 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: 6:12:31 || Estimated Time: 1 day, 14:27:22
2023-07-11 22:02:41,823 semantic_segmentation INFO: Iters: 6960/50000 || Lr: 0.017476 || Task Loss: 0.1364 || KD Loss: 0.0386|| 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: 6:13:02 || Estimated Time: 1 day, 14:26:42
2023-07-11 22:03:12,700 semantic_segmentation INFO: Iters: 6970/50000 || Lr: 0.017473 || Task Loss: 0.1160 || KD Loss: 0.0415|| 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: 6:13:32 || Estimated Time: 1 day, 14:26:02
2023-07-11 22:03:43,553 semantic_segmentation INFO: Iters: 6980/50000 || Lr: 0.017469 || Task Loss: 0.1213 || KD Loss: 0.0438|| 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: 6:14:03 || Estimated Time: 1 day, 14:25:22
2023-07-11 22:04:14,428 semantic_segmentation INFO: Iters: 6990/50000 || Lr: 0.017465 || Task Loss: 0.1242 || KD Loss: 0.0403|| 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: 6:14:34 || Estimated Time: 1 day, 14:24:42
2023-07-11 22:04:45,296 semantic_segmentation INFO: Iters: 7000/50000 || Lr: 0.017462 || Task Loss: 0.1501 || KD Loss: 0.0418|| 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: 6:15:05 || Estimated Time: 1 day, 14:24:02
2023-07-11 22:05:16,134 semantic_segmentation INFO: Iters: 7010/50000 || Lr: 0.017458 || Task Loss: 0.1191 || KD Loss: 0.0376|| 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: 6:15:36 || Estimated Time: 1 day, 14:23:21
2023-07-11 22:05:47,003 semantic_segmentation INFO: Iters: 7020/50000 || Lr: 0.017454 || Task Loss: 0.1287 || KD Loss: 0.0377|| 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: 6:16:07 || Estimated Time: 1 day, 14:22:41
2023-07-11 22:06:17,862 semantic_segmentation INFO: Iters: 7030/50000 || Lr: 0.017451 || Task Loss: 0.1188 || KD Loss: 0.0419|| 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: 6:16:38 || Estimated Time: 1 day, 14:22:01
2023-07-11 22:06:48,722 semantic_segmentation INFO: Iters: 7040/50000 || Lr: 0.017447 || Task Loss: 0.1356 || KD Loss: 0.0376|| 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: 6:17:08 || Estimated Time: 1 day, 14:21:21
2023-07-11 22:07:19,579 semantic_segmentation INFO: Iters: 7050/50000 || Lr: 0.017443 || Task Loss: 0.1323 || KD Loss: 0.0415|| 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: 6:17:39 || Estimated Time: 1 day, 14:20:41
2023-07-11 22:07:50,424 semantic_segmentation INFO: Iters: 7060/50000 || Lr: 0.017440 || Task Loss: 0.1305 || KD Loss: 0.0475|| 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: 6:18:10 || Estimated Time: 1 day, 14:20:01
2023-07-11 22:08:21,297 semantic_segmentation INFO: Iters: 7070/50000 || Lr: 0.017436 || Task Loss: 0.1197 || KD Loss: 0.0454|| 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: 6:18:41 || Estimated Time: 1 day, 14:19:22
2023-07-11 22:08:52,167 semantic_segmentation INFO: Iters: 7080/50000 || Lr: 0.017433 || Task Loss: 0.1207 || KD Loss: 0.0389|| 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: 6:19:12 || Estimated Time: 1 day, 14:18:42
2023-07-11 22:09:23,011 semantic_segmentation INFO: Iters: 7090/50000 || Lr: 0.017429 || Task Loss: 0.1223 || KD Loss: 0.0361|| 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: 6:19:43 || Estimated Time: 1 day, 14:18:02
2023-07-11 22:09:53,879 semantic_segmentation INFO: Iters: 7100/50000 || Lr: 0.017425 || Task Loss: 0.1101 || KD Loss: 0.0435|| 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: 6:20:14 || Estimated Time: 1 day, 14:17:22
2023-07-11 22:10:24,757 semantic_segmentation INFO: Iters: 7110/50000 || Lr: 0.017422 || Task Loss: 0.1223 || KD Loss: 0.0401|| 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: 6:20:45 || Estimated Time: 1 day, 14:16:42
2023-07-11 22:10:55,669 semantic_segmentation INFO: Iters: 7120/50000 || Lr: 0.017418 || Task Loss: 0.1362 || KD Loss: 0.0386|| 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: 6:21:15 || Estimated Time: 1 day, 14:16:03
2023-07-11 22:11:26,533 semantic_segmentation INFO: Iters: 7130/50000 || Lr: 0.017414 || Task Loss: 0.1329 || KD Loss: 0.0364|| 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: 6:21:46 || Estimated Time: 1 day, 14:15:23
2023-07-11 22:11:57,412 semantic_segmentation INFO: Iters: 7140/50000 || Lr: 0.017411 || Task Loss: 0.1436 || KD Loss: 0.0397|| 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: 6:22:17 || Estimated Time: 1 day, 14:14:44
2023-07-11 22:12:28,292 semantic_segmentation INFO: Iters: 7150/50000 || Lr: 0.017407 || Task Loss: 0.1247 || KD Loss: 0.0387|| 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: 6:22:48 || Estimated Time: 1 day, 14:14:04
2023-07-11 22:12:59,163 semantic_segmentation INFO: Iters: 7160/50000 || Lr: 0.017403 || Task Loss: 0.1207 || KD Loss: 0.0388|| 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: 6:23:19 || Estimated Time: 1 day, 14:13:24
2023-07-11 22:13:30,019 semantic_segmentation INFO: Iters: 7170/50000 || Lr: 0.017400 || Task Loss: 0.1347 || KD Loss: 0.0402|| 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: 6:23:50 || Estimated Time: 1 day, 14:12:45
2023-07-11 22:14:00,885 semantic_segmentation INFO: Iters: 7180/50000 || Lr: 0.017396 || Task Loss: 0.1344 || KD Loss: 0.0343|| 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: 6:24:21 || Estimated Time: 1 day, 14:12:05
2023-07-11 22:14:31,758 semantic_segmentation INFO: Iters: 7190/50000 || Lr: 0.017392 || Task Loss: 0.1362 || KD Loss: 0.0434|| 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: 6:24:52 || Estimated Time: 1 day, 14:11:26
2023-07-11 22:15:02,654 semantic_segmentation INFO: Iters: 7200/50000 || Lr: 0.017389 || Task Loss: 0.1116 || KD Loss: 0.0398|| 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: 6:25:22 || Estimated Time: 1 day, 14:10:46
2023-07-11 22:15:02,748 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 22:15:02,942 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.961, mIoU: 0.721
2023-07-11 22:15:02,956 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.723
2023-07-11 22:15:02,970 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.722
2023-07-11 22:15:02,983 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.717
2023-07-11 22:15:02,995 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.712
2023-07-11 22:15:03,006 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.960, mIoU: 0.712
2023-07-11 22:15:03,018 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.960, mIoU: 0.712
2023-07-11 22:15:03,030 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.960, mIoU: 0.711
2023-07-11 22:15:03,042 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.959, mIoU: 0.707
2023-07-11 22:15:03,054 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.958, mIoU: 0.706
2023-07-11 22:15:03,067 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.958, mIoU: 0.707
2023-07-11 22:15:03,079 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.956, mIoU: 0.706
2023-07-11 22:15:03,092 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.957, mIoU: 0.709
2023-07-11 22:15:03,104 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.957, mIoU: 0.712
2023-07-11 22:15:03,116 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.957, mIoU: 0.713
2023-07-11 22:15:03,129 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.957, mIoU: 0.716
2023-07-11 22:15:03,141 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.957, mIoU: 0.716
2023-07-11 22:15:03,153 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.957, mIoU: 0.719
2023-07-11 22:15:03,166 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.957, mIoU: 0.718
2023-07-11 22:15:03,178 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.956, mIoU: 0.718
2023-07-11 22:15:03,191 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.956, mIoU: 0.719
2023-07-11 22:15:03,203 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.955, mIoU: 0.717
2023-07-11 22:15:03,215 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 22:15:03,228 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.954, mIoU: 0.715
2023-07-11 22:15:03,240 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 22:15:03,252 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.955, mIoU: 0.717
2023-07-11 22:15:03,265 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.955, mIoU: 0.716
2023-07-11 22:15:03,277 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.955, mIoU: 0.715
2023-07-11 22:15:03,290 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.955, mIoU: 0.717
2023-07-11 22:15:03,303 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.955, mIoU: 0.717
2023-07-11 22:15:03,315 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.955, mIoU: 0.718
2023-07-11 22:15:03,327 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.955, mIoU: 0.719
2023-07-11 22:15:03,340 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.954, mIoU: 0.719
2023-07-11 22:15:03,352 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.954, mIoU: 0.718
2023-07-11 22:15:03,365 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.954, mIoU: 0.719
2023-07-11 22:15:03,378 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.953, mIoU: 0.718
2023-07-11 22:15:03,390 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.952, mIoU: 0.718
2023-07-11 22:15:03,403 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.952, mIoU: 0.720
2023-07-11 22:15:03,415 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.952, mIoU: 0.720
2023-07-11 22:15:03,428 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.952, mIoU: 0.721
2023-07-11 22:15:03,442 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.952, mIoU: 0.723
2023-07-11 22:15:03,456 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.953, mIoU: 0.724
2023-07-11 22:15:03,468 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.953, mIoU: 0.726
2023-07-11 22:15:03,481 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.953, mIoU: 0.728
2023-07-11 22:15:03,493 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.952, mIoU: 0.729
2023-07-11 22:15:03,506 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.953, mIoU: 0.731
2023-07-11 22:15:03,518 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.953, mIoU: 0.732
2023-07-11 22:15:03,530 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.953, mIoU: 0.733
2023-07-11 22:15:03,542 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.953, mIoU: 0.735
2023-07-11 22:15:03,554 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.952, mIoU: 0.735
2023-07-11 22:15:03,566 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.952, mIoU: 0.736
2023-07-11 22:15:03,579 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.952, mIoU: 0.738
2023-07-11 22:15:03,591 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.951, mIoU: 0.739
2023-07-11 22:15:03,603 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.951, mIoU: 0.740
2023-07-11 22:15:03,615 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.951, mIoU: 0.741
2023-07-11 22:15:03,627 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.951, mIoU: 0.741
2023-07-11 22:15:03,639 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.950, mIoU: 0.741
2023-07-11 22:15:03,652 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.950, mIoU: 0.742
2023-07-11 22:15:03,664 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.950, mIoU: 0.742
2023-07-11 22:15:03,677 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.950, mIoU: 0.743
2023-07-11 22:15:03,689 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.949, mIoU: 0.744
2023-07-11 22:15:03,702 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.949, mIoU: 0.744
2023-07-11 22:15:03,714 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.949, mIoU: 0.745
2023-07-11 22:15:03,727 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.948, mIoU: 0.745
2023-07-11 22:15:03,739 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.948, mIoU: 0.746
2023-07-11 22:15:03,752 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.948, mIoU: 0.746
2023-07-11 22:15:03,764 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.947, mIoU: 0.747
2023-07-11 22:15:03,777 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.947, mIoU: 0.748
2023-07-11 22:15:03,789 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.946, mIoU: 0.749
2023-07-11 22:15:03,802 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.946, mIoU: 0.750
2023-07-11 22:15:03,814 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.946, mIoU: 0.750
2023-07-11 22:15:03,827 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.946, mIoU: 0.750
2023-07-11 22:15:03,839 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.945, mIoU: 0.750
2023-07-11 22:15:03,852 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.945, mIoU: 0.750
2023-07-11 22:15:03,864 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.945, mIoU: 0.750
2023-07-11 22:15:03,877 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.945, mIoU: 0.749
2023-07-11 22:15:03,889 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.945, mIoU: 0.749
2023-07-11 22:15:03,901 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.945, mIoU: 0.749
2023-07-11 22:15:03,913 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.944, mIoU: 0.748
2023-07-11 22:15:03,925 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.944, mIoU: 0.747
2023-07-11 22:15:03,937 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 22:15:03,949 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.944, mIoU: 0.746
2023-07-11 22:15:03,961 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.943, mIoU: 0.744
2023-07-11 22:15:03,974 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.943, mIoU: 0.744
2023-07-11 22:15:03,986 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.943, mIoU: 0.744
2023-07-11 22:15:03,998 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.943, mIoU: 0.744
2023-07-11 22:15:04,010 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.943, mIoU: 0.744
2023-07-11 22:15:04,022 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.943, mIoU: 0.744
2023-07-11 22:15:04,033 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.943, mIoU: 0.743
2023-07-11 22:15:04,045 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.943, mIoU: 0.742
2023-07-11 22:15:04,057 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.943, mIoU: 0.742
2023-07-11 22:15:04,069 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.943, mIoU: 0.742
2023-07-11 22:15:04,081 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.943, mIoU: 0.742
2023-07-11 22:15:04,093 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.944, mIoU: 0.742
2023-07-11 22:15:04,105 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.944, mIoU: 0.742
2023-07-11 22:15:04,117 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 22:15:04,130 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 22:15:04,142 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 22:15:04,154 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.944, mIoU: 0.743
2023-07-11 22:15:04,166 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.945, mIoU: 0.743
2023-07-11 22:15:04,178 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.945, mIoU: 0.743
2023-07-11 22:15:35,314 semantic_segmentation INFO: Iters: 7210/50000 || Lr: 0.017385 || Task Loss: 0.1410 || KD Loss: 0.0380|| 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: 6:25:55 || Estimated Time: 1 day, 14:10:17
2023-07-11 22:16:06,182 semantic_segmentation INFO: Iters: 7220/50000 || Lr: 0.017381 || Task Loss: 0.1203 || KD Loss: 0.0401|| 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: 6:26:26 || Estimated Time: 1 day, 14:09:38
2023-07-11 22:16:37,066 semantic_segmentation INFO: Iters: 7230/50000 || Lr: 0.017378 || Task Loss: 0.1553 || KD Loss: 0.0406|| 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: 6:26:57 || Estimated Time: 1 day, 14:08:58
2023-07-11 22:17:07,932 semantic_segmentation INFO: Iters: 7240/50000 || Lr: 0.017374 || Task Loss: 0.1141 || KD Loss: 0.0397|| 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: 6:27:28 || Estimated Time: 1 day, 14:08:19
2023-07-11 22:17:38,781 semantic_segmentation INFO: Iters: 7250/50000 || Lr: 0.017370 || Task Loss: 0.1373 || KD Loss: 0.0575|| 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: 6:27:59 || Estimated Time: 1 day, 14:07:39
2023-07-11 22:18:09,660 semantic_segmentation INFO: Iters: 7260/50000 || Lr: 0.017367 || Task Loss: 0.1296 || KD Loss: 0.0398|| 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: 6:28:29 || Estimated Time: 1 day, 14:07:00
2023-07-11 22:18:40,447 semantic_segmentation INFO: Iters: 7270/50000 || Lr: 0.017363 || Task Loss: 0.1530 || KD Loss: 0.0434|| 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: 6:29:00 || Estimated Time: 1 day, 14:06:20
2023-07-11 22:19:11,294 semantic_segmentation INFO: Iters: 7280/50000 || Lr: 0.017359 || Task Loss: 0.1107 || KD Loss: 0.0424|| 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: 6:29:31 || Estimated Time: 1 day, 14:05:41
2023-07-11 22:19:42,085 semantic_segmentation INFO: Iters: 7290/50000 || Lr: 0.017356 || Task Loss: 0.1328 || KD Loss: 0.0406|| 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: 6:30:02 || Estimated Time: 1 day, 14:05:01
2023-07-11 22:20:12,944 semantic_segmentation INFO: Iters: 7300/50000 || Lr: 0.017352 || Task Loss: 0.1234 || KD Loss: 0.0386|| 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: 6:30:33 || Estimated Time: 1 day, 14:04:22
2023-07-11 22:20:43,774 semantic_segmentation INFO: Iters: 7310/50000 || Lr: 0.017348 || Task Loss: 0.1094 || KD Loss: 0.0347|| 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: 6:31:04 || Estimated Time: 1 day, 14:03:42
2023-07-11 22:21:14,617 semantic_segmentation INFO: Iters: 7320/50000 || Lr: 0.017345 || Task Loss: 0.1227 || KD Loss: 0.0489|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.1211|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 6:31:34 || Estimated Time: 1 day, 14:03:03
2023-07-11 22:21:45,464 semantic_segmentation INFO: Iters: 7330/50000 || Lr: 0.017341 || Task Loss: 0.1134 || KD Loss: 0.0388|| 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: 6:32:05 || Estimated Time: 1 day, 14:02:23
2023-07-11 22:22:16,340 semantic_segmentation INFO: Iters: 7340/50000 || Lr: 0.017337 || Task Loss: 0.1290 || KD Loss: 0.0364|| 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: 6:32:36 || Estimated Time: 1 day, 14:01:44
2023-07-11 22:22:47,218 semantic_segmentation INFO: Iters: 7350/50000 || Lr: 0.017334 || Task Loss: 0.1277 || KD Loss: 0.0444|| 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: 6:33:07 || Estimated Time: 1 day, 14:01:05
2023-07-11 22:23:18,120 semantic_segmentation INFO: Iters: 7360/50000 || Lr: 0.017330 || Task Loss: 0.1306 || KD Loss: 0.0427|| 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: 6:33:38 || Estimated Time: 1 day, 14:00:26
2023-07-11 22:23:49,022 semantic_segmentation INFO: Iters: 7370/50000 || Lr: 0.017326 || Task Loss: 0.1302 || KD Loss: 0.0391|| 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: 6:34:09 || Estimated Time: 1 day, 13:59:47
2023-07-11 22:24:19,908 semantic_segmentation INFO: Iters: 7380/50000 || Lr: 0.017323 || Task Loss: 0.1374 || KD Loss: 0.0400|| 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: 6:34:40 || Estimated Time: 1 day, 13:59:08
2023-07-11 22:24:50,787 semantic_segmentation INFO: Iters: 7390/50000 || Lr: 0.017319 || Task Loss: 0.1163 || KD Loss: 0.0396|| 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: 6:35:11 || Estimated Time: 1 day, 13:58:29
2023-07-11 22:25:21,662 semantic_segmentation INFO: Iters: 7400/50000 || Lr: 0.017315 || Task Loss: 0.1318 || KD Loss: 0.0435|| 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: 6:35:41 || Estimated Time: 1 day, 13:57:50
2023-07-11 22:25:52,549 semantic_segmentation INFO: Iters: 7410/50000 || Lr: 0.017312 || Task Loss: 0.1318 || KD Loss: 0.0365|| 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: 6:36:12 || Estimated Time: 1 day, 13:57:11
2023-07-11 22:26:23,460 semantic_segmentation INFO: Iters: 7420/50000 || Lr: 0.017308 || Task Loss: 0.1475 || KD Loss: 0.0401|| 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: 6:36:43 || Estimated Time: 1 day, 13:56:32
2023-07-11 22:26:54,331 semantic_segmentation INFO: Iters: 7430/50000 || Lr: 0.017305 || Task Loss: 0.1270 || KD Loss: 0.0358|| 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: 6:37:14 || Estimated Time: 1 day, 13:55:53
2023-07-11 22:27:25,249 semantic_segmentation INFO: Iters: 7440/50000 || Lr: 0.017301 || Task Loss: 0.1501 || KD Loss: 0.0408|| 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: 6:37:45 || Estimated Time: 1 day, 13:55:15
2023-07-11 22:27:56,144 semantic_segmentation INFO: Iters: 7450/50000 || Lr: 0.017297 || Task Loss: 0.1248 || 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: 6:38:16 || Estimated Time: 1 day, 13:54:36
2023-07-11 22:28:27,007 semantic_segmentation INFO: Iters: 7460/50000 || Lr: 0.017294 || Task Loss: 0.1219 || KD Loss: 0.0421|| 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: 6:38:47 || Estimated Time: 1 day, 13:53:57
2023-07-11 22:28:57,873 semantic_segmentation INFO: Iters: 7470/50000 || Lr: 0.017290 || Task Loss: 0.1200 || KD Loss: 0.0407|| 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: 6:39:18 || Estimated Time: 1 day, 13:53:18
2023-07-11 22:29:28,785 semantic_segmentation INFO: Iters: 7480/50000 || Lr: 0.017286 || Task Loss: 0.1222 || KD Loss: 0.0348|| 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: 6:39:49 || Estimated Time: 1 day, 13:52:39
2023-07-11 22:29:59,653 semantic_segmentation INFO: Iters: 7490/50000 || Lr: 0.017283 || Task Loss: 0.1266 || KD Loss: 0.0392|| 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: 6:40:19 || Estimated Time: 1 day, 13:52:00
2023-07-11 22:30:30,545 semantic_segmentation INFO: Iters: 7500/50000 || Lr: 0.017279 || Task Loss: 0.1264 || KD Loss: 0.0404|| 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: 6:40:50 || Estimated Time: 1 day, 13:51:22
2023-07-11 22:31:01,404 semantic_segmentation INFO: Iters: 7510/50000 || Lr: 0.017275 || Task Loss: 0.1150 || KD Loss: 0.0432|| 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: 6:41:21 || Estimated Time: 1 day, 13:50:43
2023-07-11 22:31:32,272 semantic_segmentation INFO: Iters: 7520/50000 || Lr: 0.017272 || Task Loss: 0.1159 || KD Loss: 0.0360|| 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: 6:41:52 || Estimated Time: 1 day, 13:50:04
2023-07-11 22:32:03,125 semantic_segmentation INFO: Iters: 7530/50000 || Lr: 0.017268 || Task Loss: 0.1453 || KD Loss: 0.0494|| 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: 6:42:23 || Estimated Time: 1 day, 13:49:25
2023-07-11 22:32:33,997 semantic_segmentation INFO: Iters: 7540/50000 || Lr: 0.017264 || Task Loss: 0.1197 || KD Loss: 0.0411|| 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: 6:42:54 || Estimated Time: 1 day, 13:48:46
2023-07-11 22:33:04,865 semantic_segmentation INFO: Iters: 7550/50000 || Lr: 0.017261 || Task Loss: 0.1269 || KD Loss: 0.0366|| 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: 6:43:25 || Estimated Time: 1 day, 13:48:07
2023-07-11 22:33:35,715 semantic_segmentation INFO: Iters: 7560/50000 || Lr: 0.017257 || Task Loss: 0.1218 || KD Loss: 0.0365|| 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: 6:43:55 || Estimated Time: 1 day, 13:47:29
2023-07-11 22:34:06,579 semantic_segmentation INFO: Iters: 7570/50000 || Lr: 0.017253 || Task Loss: 0.1353 || KD Loss: 0.0380|| 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: 6:44:26 || Estimated Time: 1 day, 13:46:50
2023-07-11 22:34:37,446 semantic_segmentation INFO: Iters: 7580/50000 || Lr: 0.017250 || Task Loss: 0.1141 || KD Loss: 0.0353|| 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: 6:44:57 || Estimated Time: 1 day, 13:46:11
2023-07-11 22:35:08,292 semantic_segmentation INFO: Iters: 7590/50000 || Lr: 0.017246 || Task Loss: 0.1213 || KD Loss: 0.0363|| 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: 6:45:28 || Estimated Time: 1 day, 13:45:32
2023-07-11 22:35:39,120 semantic_segmentation INFO: Iters: 7600/50000 || Lr: 0.017242 || Task Loss: 0.1209 || KD Loss: 0.0368|| 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: 6:45:59 || Estimated Time: 1 day, 13:44:53
2023-07-11 22:36:09,996 semantic_segmentation INFO: Iters: 7610/50000 || Lr: 0.017239 || Task Loss: 0.1007 || KD Loss: 0.0371|| 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: 6:46:30 || Estimated Time: 1 day, 13:44:15
2023-07-11 22:36:40,849 semantic_segmentation INFO: Iters: 7620/50000 || Lr: 0.017235 || Task Loss: 0.1215 || KD Loss: 0.0395|| 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: 6:47:01 || Estimated Time: 1 day, 13:43:36
2023-07-11 22:37:11,712 semantic_segmentation INFO: Iters: 7630/50000 || Lr: 0.017231 || Task Loss: 0.1554 || KD Loss: 0.0422|| 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: 6:47:31 || Estimated Time: 1 day, 13:42:58
2023-07-11 22:37:42,623 semantic_segmentation INFO: Iters: 7640/50000 || Lr: 0.017228 || Task Loss: 0.1188 || KD Loss: 0.0413|| 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: 6:48:02 || Estimated Time: 1 day, 13:42:19
2023-07-11 22:38:13,521 semantic_segmentation INFO: Iters: 7650/50000 || Lr: 0.017224 || Task Loss: 0.1366 || KD Loss: 0.0469|| 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: 6:48:33 || Estimated Time: 1 day, 13:41:41
2023-07-11 22:38:44,460 semantic_segmentation INFO: Iters: 7660/50000 || Lr: 0.017220 || Task Loss: 0.1398 || KD Loss: 0.0457|| 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: 6:49:04 || Estimated Time: 1 day, 13:41:03
2023-07-11 22:39:15,389 semantic_segmentation INFO: Iters: 7670/50000 || Lr: 0.017217 || Task Loss: 0.1263 || KD Loss: 0.0446|| 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: 6:49:35 || Estimated Time: 1 day, 13:40:24
2023-07-11 22:39:46,281 semantic_segmentation INFO: Iters: 7680/50000 || Lr: 0.017213 || Task Loss: 0.1199 || KD Loss: 0.0394|| 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: 6:50:06 || Estimated Time: 1 day, 13:39:46
2023-07-11 22:40:17,183 semantic_segmentation INFO: Iters: 7690/50000 || Lr: 0.017209 || Task Loss: 0.1196 || 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: 6:50:37 || Estimated Time: 1 day, 13:39:08
2023-07-11 22:40:48,041 semantic_segmentation INFO: Iters: 7700/50000 || Lr: 0.017206 || Task Loss: 0.1149 || KD Loss: 0.0373|| 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: 6:51:08 || Estimated Time: 1 day, 13:38:29
2023-07-11 22:41:18,928 semantic_segmentation INFO: Iters: 7710/50000 || Lr: 0.017202 || Task Loss: 0.1208 || KD Loss: 0.0366|| 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: 6:51:39 || Estimated Time: 1 day, 13:37:51
2023-07-11 22:41:49,834 semantic_segmentation INFO: Iters: 7720/50000 || Lr: 0.017198 || Task Loss: 0.1283 || KD Loss: 0.0353|| 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: 6:52:10 || Estimated Time: 1 day, 13:37:13
2023-07-11 22:42:20,715 semantic_segmentation INFO: Iters: 7730/50000 || Lr: 0.017195 || Task Loss: 0.1332 || KD Loss: 0.0404|| 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: 6:52:40 || Estimated Time: 1 day, 13:36:34
2023-07-11 22:42:51,614 semantic_segmentation INFO: Iters: 7740/50000 || Lr: 0.017191 || Task Loss: 0.1261 || KD Loss: 0.0456|| 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: 6:53:11 || Estimated Time: 1 day, 13:35:56
2023-07-11 22:43:22,521 semantic_segmentation INFO: Iters: 7750/50000 || Lr: 0.017187 || Task Loss: 0.1449 || KD Loss: 0.0386|| 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: 6:53:42 || Estimated Time: 1 day, 13:35:18
2023-07-11 22:43:53,379 semantic_segmentation INFO: Iters: 7760/50000 || Lr: 0.017184 || Task Loss: 0.1436 || KD Loss: 0.0418|| 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: 6:54:13 || Estimated Time: 1 day, 13:34:40
2023-07-11 22:44:24,258 semantic_segmentation INFO: Iters: 7770/50000 || Lr: 0.017180 || Task Loss: 0.1411 || KD Loss: 0.0400|| 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: 6:54:44 || Estimated Time: 1 day, 13:34:01
2023-07-11 22:44:55,114 semantic_segmentation INFO: Iters: 7780/50000 || Lr: 0.017176 || Task Loss: 0.1307 || KD Loss: 0.0399|| 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: 6:55:15 || Estimated Time: 1 day, 13:33:23
2023-07-11 22:45:25,994 semantic_segmentation INFO: Iters: 7790/50000 || Lr: 0.017173 || Task Loss: 0.1093 || KD Loss: 0.0389|| 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: 6:55:46 || Estimated Time: 1 day, 13:32:45
2023-07-11 22:45:56,877 semantic_segmentation INFO: Iters: 7800/50000 || Lr: 0.017169 || Task Loss: 0.1350 || KD Loss: 0.0393|| 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: 6:56:17 || Estimated Time: 1 day, 13:32:07
2023-07-11 22:46:27,763 semantic_segmentation INFO: Iters: 7810/50000 || Lr: 0.017165 || Task Loss: 0.1157 || KD Loss: 0.0352|| 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: 6:56:48 || Estimated Time: 1 day, 13:31:28
2023-07-11 22:46:58,644 semantic_segmentation INFO: Iters: 7820/50000 || Lr: 0.017162 || Task Loss: 0.1190 || KD Loss: 0.0408|| 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: 6:57:18 || Estimated Time: 1 day, 13:30:50
2023-07-11 22:47:29,470 semantic_segmentation INFO: Iters: 7830/50000 || Lr: 0.017158 || Task Loss: 0.1229 || KD Loss: 0.0379|| 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: 6:57:49 || Estimated Time: 1 day, 13:30:12
2023-07-11 22:48:00,316 semantic_segmentation INFO: Iters: 7840/50000 || Lr: 0.017154 || Task Loss: 0.1276 || KD Loss: 0.0407|| 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: 6:58:20 || Estimated Time: 1 day, 13:29:34
2023-07-11 22:48:31,176 semantic_segmentation INFO: Iters: 7850/50000 || Lr: 0.017151 || Task Loss: 0.1206 || KD Loss: 0.0492|| 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: 6:58:51 || Estimated Time: 1 day, 13:28:55
2023-07-11 22:49:02,057 semantic_segmentation INFO: Iters: 7860/50000 || Lr: 0.017147 || Task Loss: 0.1100 || KD Loss: 0.0366|| 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: 6:59:22 || Estimated Time: 1 day, 13:28:17
2023-07-11 22:49:32,944 semantic_segmentation INFO: Iters: 7870/50000 || Lr: 0.017143 || Task Loss: 0.1204 || KD Loss: 0.0365|| 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: 6:59:53 || Estimated Time: 1 day, 13:27:39
2023-07-11 22:50:03,836 semantic_segmentation INFO: Iters: 7880/50000 || Lr: 0.017140 || Task Loss: 0.1087 || KD Loss: 0.0346|| 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: 7:00:24 || Estimated Time: 1 day, 13:27:01
2023-07-11 22:50:34,685 semantic_segmentation INFO: Iters: 7890/50000 || Lr: 0.017136 || Task Loss: 0.1194 || KD Loss: 0.0375|| 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: 7:00:54 || Estimated Time: 1 day, 13:26:23
2023-07-11 22:51:05,583 semantic_segmentation INFO: Iters: 7900/50000 || Lr: 0.017132 || Task Loss: 0.0995 || 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: 7:01:25 || Estimated Time: 1 day, 13:25:45
2023-07-11 22:51:36,507 semantic_segmentation INFO: Iters: 7910/50000 || Lr: 0.017129 || Task Loss: 0.1326 || KD Loss: 0.0423|| 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: 7:01:56 || Estimated Time: 1 day, 13:25:07
2023-07-11 22:52:07,411 semantic_segmentation INFO: Iters: 7920/50000 || Lr: 0.017125 || Task Loss: 0.1414 || KD Loss: 0.0411|| 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: 7:02:27 || Estimated Time: 1 day, 13:24:29
2023-07-11 22:52:38,289 semantic_segmentation INFO: Iters: 7930/50000 || Lr: 0.017121 || Task Loss: 0.1390 || KD Loss: 0.0383|| 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: 7:02:58 || Estimated Time: 1 day, 13:23:51
2023-07-11 22:53:09,213 semantic_segmentation INFO: Iters: 7940/50000 || Lr: 0.017118 || Task Loss: 0.1149 || KD Loss: 0.0409|| 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: 7:03:29 || Estimated Time: 1 day, 13:23:14
2023-07-11 22:53:40,107 semantic_segmentation INFO: Iters: 7950/50000 || Lr: 0.017114 || Task Loss: 0.1390 || KD Loss: 0.0368|| 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: 7:04:00 || Estimated Time: 1 day, 13:22:36
2023-07-11 22:54:11,006 semantic_segmentation INFO: Iters: 7960/50000 || Lr: 0.017111 || Task Loss: 0.1224 || KD Loss: 0.0390|| 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: 7:04:31 || Estimated Time: 1 day, 13:21:58
2023-07-11 22:54:41,924 semantic_segmentation INFO: Iters: 7970/50000 || Lr: 0.017107 || Task Loss: 0.1325 || KD Loss: 0.0414|| 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: 7:05:02 || Estimated Time: 1 day, 13:21:20
2023-07-11 22:55:12,853 semantic_segmentation INFO: Iters: 7980/50000 || Lr: 0.017103 || Task Loss: 0.1265 || KD Loss: 0.0370|| 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: 7:05:33 || Estimated Time: 1 day, 13:20:43
2023-07-11 22:55:43,766 semantic_segmentation INFO: Iters: 7990/50000 || Lr: 0.017100 || Task Loss: 0.1243 || KD Loss: 0.0386|| 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: 7:06:04 || Estimated Time: 1 day, 13:20:05
2023-07-11 22:56:14,682 semantic_segmentation INFO: Iters: 8000/50000 || Lr: 0.017096 || Task Loss: 0.1272 || KD Loss: 0.0347|| 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: 7:06:34 || Estimated Time: 1 day, 13:19:27
2023-07-11 22:56:14,896 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 22:56:15,082 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.720
2023-07-11 22:56:15,115 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.725
2023-07-11 22:56:15,127 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.725
2023-07-11 22:56:15,140 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-11 22:56:15,152 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.717
2023-07-11 22:56:15,164 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.718
2023-07-11 22:56:15,176 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.718
2023-07-11 22:56:15,188 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.717
2023-07-11 22:56:15,200 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.714
2023-07-11 22:56:15,213 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.713
2023-07-11 22:56:15,226 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.714
2023-07-11 22:56:15,238 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.958, mIoU: 0.714
2023-07-11 22:56:15,251 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.717
2023-07-11 22:56:15,263 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.721
2023-07-11 22:56:15,276 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.722
2023-07-11 22:56:15,288 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.725
2023-07-11 22:56:15,301 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.726
2023-07-11 22:56:15,313 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.728
2023-07-11 22:56:15,325 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.959, mIoU: 0.728
2023-07-11 22:56:15,338 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.958, mIoU: 0.729
2023-07-11 22:56:15,351 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.730
2023-07-11 22:56:15,363 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.728
2023-07-11 22:56:15,376 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.728
2023-07-11 22:56:15,388 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.957, mIoU: 0.728
2023-07-11 22:56:15,400 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.729
2023-07-11 22:56:15,413 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.729
2023-07-11 22:56:15,425 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.728
2023-07-11 22:56:15,438 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.957, mIoU: 0.728
2023-07-11 22:56:15,450 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.729
2023-07-11 22:56:15,463 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.728
2023-07-11 22:56:15,475 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.957, mIoU: 0.729
2023-07-11 22:56:15,487 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.957, mIoU: 0.729
2023-07-11 22:56:15,500 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.957, mIoU: 0.729
2023-07-11 22:56:15,512 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.956, mIoU: 0.728
2023-07-11 22:56:15,524 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.956, mIoU: 0.729
2023-07-11 22:56:15,537 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.956, mIoU: 0.728
2023-07-11 22:56:15,549 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.955, mIoU: 0.728
2023-07-11 22:56:15,562 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.955, mIoU: 0.730
2023-07-11 22:56:15,574 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.955, mIoU: 0.730
2023-07-11 22:56:15,586 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.955, mIoU: 0.732
2023-07-11 22:56:15,598 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.955, mIoU: 0.733
2023-07-11 22:56:15,611 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.955, mIoU: 0.735
2023-07-11 22:56:15,623 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.955, mIoU: 0.737
2023-07-11 22:56:15,636 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.955, mIoU: 0.738
2023-07-11 22:56:15,648 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.739
2023-07-11 22:56:15,661 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.955, mIoU: 0.741
2023-07-11 22:56:15,673 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.955, mIoU: 0.742
2023-07-11 22:56:15,686 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.955, mIoU: 0.744
2023-07-11 22:56:15,698 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.955, mIoU: 0.745
2023-07-11 22:56:15,711 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.954, mIoU: 0.745
2023-07-11 22:56:15,724 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.954, mIoU: 0.747
2023-07-11 22:56:15,736 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.748
2023-07-11 22:56:15,749 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-11 22:56:15,762 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.953, mIoU: 0.750
2023-07-11 22:56:15,774 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.953, mIoU: 0.750
2023-07-11 22:56:15,787 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.751
2023-07-11 22:56:15,799 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.952, mIoU: 0.752
2023-07-11 22:56:15,812 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.952, mIoU: 0.752
2023-07-11 22:56:15,824 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.952, mIoU: 0.753
2023-07-11 22:56:15,837 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-11 22:56:15,849 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-11 22:56:15,861 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.951, mIoU: 0.755
2023-07-11 22:56:15,873 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.951, mIoU: 0.755
2023-07-11 22:56:15,885 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.951, mIoU: 0.755
2023-07-11 22:56:15,897 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.950, mIoU: 0.756
2023-07-11 22:56:15,909 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.950, mIoU: 0.756
2023-07-11 22:56:15,921 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.949, mIoU: 0.757
2023-07-11 22:56:15,934 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-11 22:56:15,946 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-11 22:56:15,958 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-11 22:56:15,970 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-11 22:56:15,982 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-11 22:56:15,994 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-11 22:56:16,006 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-11 22:56:16,018 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-11 22:56:16,031 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-11 22:56:16,043 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-11 22:56:16,055 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-11 22:56:16,067 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 22:56:16,080 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 22:56:16,093 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 22:56:16,105 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 22:56:16,118 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-11 22:56:16,130 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 22:56:16,143 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 22:56:16,155 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 22:56:16,168 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 22:56:16,180 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 22:56:16,192 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 22:56:16,205 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-11 22:56:16,218 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-11 22:56:16,232 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-11 22:56:16,244 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-11 22:56:16,256 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-11 22:56:16,268 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-11 22:56:16,281 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-11 22:56:16,293 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-11 22:56:16,305 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-11 22:56:16,317 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-11 22:56:16,329 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-11 22:56:16,341 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-11 22:56:47,879 semantic_segmentation INFO: Iters: 8010/50000 || Lr: 0.017092 || Task Loss: 0.1276 || KD Loss: 0.0406|| 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: 7:07:08 || Estimated Time: 1 day, 13:19:02
2023-07-11 22:57:18,814 semantic_segmentation INFO: Iters: 8020/50000 || Lr: 0.017089 || Task Loss: 0.1426 || KD Loss: 0.0380|| 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: 7:07:39 || Estimated Time: 1 day, 13:18:24
2023-07-11 22:57:49,716 semantic_segmentation INFO: Iters: 8030/50000 || Lr: 0.017085 || Task Loss: 0.1166 || KD Loss: 0.0399|| 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: 7:08:09 || Estimated Time: 1 day, 13:17:47
2023-07-11 22:58:20,672 semantic_segmentation INFO: Iters: 8040/50000 || Lr: 0.017081 || Task Loss: 0.1129 || 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: 7:08:40 || Estimated Time: 1 day, 13:17:09
2023-07-11 22:58:51,592 semantic_segmentation INFO: Iters: 8050/50000 || Lr: 0.017078 || Task Loss: 0.1227 || KD Loss: 0.0431|| 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: 7:09:11 || Estimated Time: 1 day, 13:16:32
2023-07-11 22:59:22,517 semantic_segmentation INFO: Iters: 8060/50000 || Lr: 0.017074 || Task Loss: 0.1379 || KD Loss: 0.0394|| 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: 7:09:42 || Estimated Time: 1 day, 13:15:54
2023-07-11 22:59:53,467 semantic_segmentation INFO: Iters: 8070/50000 || Lr: 0.017070 || Task Loss: 0.0928 || KD Loss: 0.0381|| 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: 7:10:13 || Estimated Time: 1 day, 13:15:17
2023-07-11 23:00:24,361 semantic_segmentation INFO: Iters: 8080/50000 || Lr: 0.017067 || Task Loss: 0.1159 || KD Loss: 0.0427|| 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: 7:10:44 || Estimated Time: 1 day, 13:14:39
2023-07-11 23:00:55,283 semantic_segmentation INFO: Iters: 8090/50000 || Lr: 0.017063 || Task Loss: 0.1304 || KD Loss: 0.0422|| 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: 7:11:15 || Estimated Time: 1 day, 13:14:02
2023-07-11 23:01:26,158 semantic_segmentation INFO: Iters: 8100/50000 || Lr: 0.017059 || Task Loss: 0.1366 || KD Loss: 0.0384|| 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: 7:11:46 || Estimated Time: 1 day, 13:13:24
2023-07-11 23:01:57,044 semantic_segmentation INFO: Iters: 8110/50000 || Lr: 0.017056 || Task Loss: 0.1234 || KD Loss: 0.0400|| 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: 7:12:17 || Estimated Time: 1 day, 13:12:46
2023-07-11 23:02:27,968 semantic_segmentation INFO: Iters: 8120/50000 || Lr: 0.017052 || Task Loss: 0.1264 || KD Loss: 0.0364|| 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: 7:12:48 || Estimated Time: 1 day, 13:12:09
2023-07-11 23:02:58,864 semantic_segmentation INFO: Iters: 8130/50000 || Lr: 0.017048 || Task Loss: 0.1133 || KD Loss: 0.0346|| 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: 7:13:19 || Estimated Time: 1 day, 13:11:31
2023-07-11 23:03:29,795 semantic_segmentation INFO: Iters: 8140/50000 || Lr: 0.017045 || Task Loss: 0.1189 || KD Loss: 0.0330|| 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: 7:13:50 || Estimated Time: 1 day, 13:10:54
2023-07-11 23:04:00,694 semantic_segmentation INFO: Iters: 8150/50000 || Lr: 0.017041 || Task Loss: 0.1189 || KD Loss: 0.0367|| 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: 7:14:20 || Estimated Time: 1 day, 13:10:16
2023-07-11 23:04:31,595 semantic_segmentation INFO: Iters: 8160/50000 || Lr: 0.017037 || Task Loss: 0.1111 || KD Loss: 0.0382|| 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: 7:14:51 || Estimated Time: 1 day, 13:09:39
2023-07-11 23:05:02,488 semantic_segmentation INFO: Iters: 8170/50000 || Lr: 0.017034 || Task Loss: 0.0953 || KD Loss: 0.0369|| 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: 7:15:22 || Estimated Time: 1 day, 13:09:01
2023-07-11 23:05:33,362 semantic_segmentation INFO: Iters: 8180/50000 || Lr: 0.017030 || Task Loss: 0.1404 || KD Loss: 0.0401|| 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: 7:15:53 || Estimated Time: 1 day, 13:08:24
2023-07-11 23:06:04,297 semantic_segmentation INFO: Iters: 8190/50000 || Lr: 0.017026 || Task Loss: 0.1276 || KD Loss: 0.0341|| 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: 7:16:24 || Estimated Time: 1 day, 13:07:47
2023-07-11 23:06:35,159 semantic_segmentation INFO: Iters: 8200/50000 || Lr: 0.017023 || Task Loss: 0.1083 || KD Loss: 0.0352|| 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: 7:16:55 || Estimated Time: 1 day, 13:07:09
2023-07-11 23:07:06,067 semantic_segmentation INFO: Iters: 8210/50000 || Lr: 0.017019 || Task Loss: 0.1128 || KD Loss: 0.0343|| 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: 7:17:26 || Estimated Time: 1 day, 13:06:31
2023-07-11 23:07:36,975 semantic_segmentation INFO: Iters: 8220/50000 || Lr: 0.017015 || Task Loss: 0.1309 || KD Loss: 0.0339|| 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: 7:17:57 || Estimated Time: 1 day, 13:05:54
2023-07-11 23:08:07,875 semantic_segmentation INFO: Iters: 8230/50000 || Lr: 0.017012 || Task Loss: 0.1621 || KD Loss: 0.0410|| 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: 7:18:28 || Estimated Time: 1 day, 13:05:17
2023-07-11 23:08:38,795 semantic_segmentation INFO: Iters: 8240/50000 || Lr: 0.017008 || Task Loss: 0.1177 || KD Loss: 0.0378|| 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: 7:18:59 || Estimated Time: 1 day, 13:04:40
2023-07-11 23:09:09,689 semantic_segmentation INFO: Iters: 8250/50000 || Lr: 0.017004 || Task Loss: 0.1087 || KD Loss: 0.0375|| 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: 7:19:29 || Estimated Time: 1 day, 13:04:02
2023-07-11 23:09:40,642 semantic_segmentation INFO: Iters: 8260/50000 || Lr: 0.017001 || Task Loss: 0.1333 || KD Loss: 0.0382|| 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: 7:20:00 || Estimated Time: 1 day, 13:03:25
2023-07-11 23:10:11,538 semantic_segmentation INFO: Iters: 8270/50000 || Lr: 0.016997 || Task Loss: 0.1140 || KD Loss: 0.0353|| 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: 7:20:31 || Estimated Time: 1 day, 13:02:48
2023-07-11 23:10:42,416 semantic_segmentation INFO: Iters: 8280/50000 || Lr: 0.016993 || Task Loss: 0.1271 || KD Loss: 0.0406|| 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: 7:21:02 || Estimated Time: 1 day, 13:02:10
2023-07-11 23:11:13,334 semantic_segmentation INFO: Iters: 8290/50000 || Lr: 0.016990 || Task Loss: 0.1244 || KD Loss: 0.0334|| 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: 7:21:33 || Estimated Time: 1 day, 13:01:33
2023-07-11 23:11:44,260 semantic_segmentation INFO: Iters: 8300/50000 || Lr: 0.016986 || Task Loss: 0.1227 || KD Loss: 0.0400|| 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: 7:22:04 || Estimated Time: 1 day, 13:00:56
2023-07-11 23:12:15,207 semantic_segmentation INFO: Iters: 8310/50000 || Lr: 0.016982 || Task Loss: 0.1254 || KD Loss: 0.0369|| 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: 7:22:35 || Estimated Time: 1 day, 13:00:19
2023-07-11 23:12:46,101 semantic_segmentation INFO: Iters: 8320/50000 || Lr: 0.016979 || Task Loss: 0.1243 || KD Loss: 0.0334|| 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: 7:23:06 || Estimated Time: 1 day, 12:59:42
2023-07-11 23:13:17,023 semantic_segmentation INFO: Iters: 8330/50000 || Lr: 0.016975 || Task Loss: 0.1283 || KD Loss: 0.0331|| 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: 7:23:37 || Estimated Time: 1 day, 12:59:05
2023-07-11 23:13:47,897 semantic_segmentation INFO: Iters: 8340/50000 || Lr: 0.016971 || Task Loss: 0.1509 || KD Loss: 0.0404|| 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: 7:24:08 || Estimated Time: 1 day, 12:58:27
2023-07-11 23:14:18,798 semantic_segmentation INFO: Iters: 8350/50000 || Lr: 0.016968 || Task Loss: 0.1337 || KD Loss: 0.0384|| 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: 7:24:39 || Estimated Time: 1 day, 12:57:50
2023-07-11 23:14:49,686 semantic_segmentation INFO: Iters: 8360/50000 || Lr: 0.016964 || Task Loss: 0.1389 || KD Loss: 0.0413|| 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: 7:25:09 || Estimated Time: 1 day, 12:57:13
2023-07-11 23:15:20,599 semantic_segmentation INFO: Iters: 8370/50000 || Lr: 0.016960 || Task Loss: 0.1239 || 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: 7:25:40 || Estimated Time: 1 day, 12:56:36
2023-07-11 23:15:51,456 semantic_segmentation INFO: Iters: 8380/50000 || Lr: 0.016957 || Task Loss: 0.0929 || KD Loss: 0.0335|| 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: 7:26:11 || Estimated Time: 1 day, 12:55:58
2023-07-11 23:16:22,333 semantic_segmentation INFO: Iters: 8390/50000 || Lr: 0.016953 || Task Loss: 0.1157 || KD Loss: 0.0361|| 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: 7:26:42 || Estimated Time: 1 day, 12:55:21
2023-07-11 23:16:53,222 semantic_segmentation INFO: Iters: 8400/50000 || Lr: 0.016949 || Task Loss: 0.1317 || KD Loss: 0.0378|| 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: 7:27:13 || Estimated Time: 1 day, 12:54:44
2023-07-11 23:17:24,101 semantic_segmentation INFO: Iters: 8410/50000 || Lr: 0.016946 || Task Loss: 0.1240 || KD Loss: 0.0364|| 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: 7:27:44 || Estimated Time: 1 day, 12:54:07
2023-07-11 23:17:55,030 semantic_segmentation INFO: Iters: 8420/50000 || Lr: 0.016942 || Task Loss: 0.1310 || KD Loss: 0.0418|| 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: 7:28:15 || Estimated Time: 1 day, 12:53:30
2023-07-11 23:18:25,894 semantic_segmentation INFO: Iters: 8430/50000 || Lr: 0.016938 || Task Loss: 0.1186 || KD Loss: 0.0357|| 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: 7:28:46 || Estimated Time: 1 day, 12:52:53
2023-07-11 23:18:56,795 semantic_segmentation INFO: Iters: 8440/50000 || Lr: 0.016935 || Task Loss: 0.1329 || KD Loss: 0.0359|| 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: 7:29:17 || Estimated Time: 1 day, 12:52:16
2023-07-11 23:19:27,688 semantic_segmentation INFO: Iters: 8450/50000 || Lr: 0.016931 || Task Loss: 0.1112 || KD Loss: 0.0341|| 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: 7:29:47 || Estimated Time: 1 day, 12:51:38
2023-07-11 23:19:58,602 semantic_segmentation INFO: Iters: 8460/50000 || Lr: 0.016927 || Task Loss: 0.1273 || KD Loss: 0.0360|| 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: 7:30:18 || Estimated Time: 1 day, 12:51:02
2023-07-11 23:20:29,498 semantic_segmentation INFO: Iters: 8470/50000 || Lr: 0.016924 || Task Loss: 0.1443 || KD Loss: 0.0364|| 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: 7:30:49 || Estimated Time: 1 day, 12:50:24
2023-07-11 23:21:00,417 semantic_segmentation INFO: Iters: 8480/50000 || Lr: 0.016920 || Task Loss: 0.1236 || KD Loss: 0.0413|| 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: 7:31:20 || Estimated Time: 1 day, 12:49:48
2023-07-11 23:21:31,315 semantic_segmentation INFO: Iters: 8490/50000 || Lr: 0.016916 || Task Loss: 0.1186 || KD Loss: 0.0361|| 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: 7:31:51 || Estimated Time: 1 day, 12:49:11
2023-07-11 23:22:02,242 semantic_segmentation INFO: Iters: 8500/50000 || Lr: 0.016913 || Task Loss: 0.1324 || KD Loss: 0.0365|| 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: 7:32:22 || Estimated Time: 1 day, 12:48:34
2023-07-11 23:22:33,151 semantic_segmentation INFO: Iters: 8510/50000 || Lr: 0.016909 || Task Loss: 0.1312 || KD Loss: 0.0471|| 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: 7:32:53 || Estimated Time: 1 day, 12:47:57
2023-07-11 23:23:04,069 semantic_segmentation INFO: Iters: 8520/50000 || Lr: 0.016905 || Task Loss: 0.1224 || KD Loss: 0.0356|| 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: 7:33:24 || Estimated Time: 1 day, 12:47:20
2023-07-11 23:23:35,014 semantic_segmentation INFO: Iters: 8530/50000 || Lr: 0.016902 || Task Loss: 0.1423 || KD Loss: 0.0441|| 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: 7:33:55 || Estimated Time: 1 day, 12:46:43
2023-07-11 23:24:05,975 semantic_segmentation INFO: Iters: 8540/50000 || Lr: 0.016898 || Task Loss: 0.1296 || KD Loss: 0.0399|| 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: 7:34:26 || Estimated Time: 1 day, 12:46:07
2023-07-11 23:24:36,920 semantic_segmentation INFO: Iters: 8550/50000 || Lr: 0.016894 || Task Loss: 0.1108 || KD Loss: 0.0389|| 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: 7:34:57 || Estimated Time: 1 day, 12:45:30
2023-07-11 23:25:07,883 semantic_segmentation INFO: Iters: 8560/50000 || Lr: 0.016891 || Task Loss: 0.1263 || KD Loss: 0.0333|| 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: 7:35:28 || Estimated Time: 1 day, 12:44:53
2023-07-11 23:25:38,830 semantic_segmentation INFO: Iters: 8570/50000 || Lr: 0.016887 || Task Loss: 0.1029 || KD Loss: 0.0329|| 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: 7:35:59 || Estimated Time: 1 day, 12:44:17
2023-07-11 23:26:09,771 semantic_segmentation INFO: Iters: 8580/50000 || Lr: 0.016883 || Task Loss: 0.1083 || KD Loss: 0.0354|| 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: 7:36:30 || Estimated Time: 1 day, 12:43:40
2023-07-11 23:26:40,719 semantic_segmentation INFO: Iters: 8590/50000 || Lr: 0.016880 || Task Loss: 0.1277 || KD Loss: 0.0430|| 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: 7:37:00 || Estimated Time: 1 day, 12:43:03
2023-07-11 23:27:11,632 semantic_segmentation INFO: Iters: 8600/50000 || Lr: 0.016876 || Task Loss: 0.1261 || KD Loss: 0.0395|| 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: 7:37:31 || Estimated Time: 1 day, 12:42:27
2023-07-11 23:27:42,598 semantic_segmentation INFO: Iters: 8610/50000 || Lr: 0.016872 || Task Loss: 0.1305 || KD Loss: 0.0385|| 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: 7:38:02 || Estimated Time: 1 day, 12:41:50
2023-07-11 23:28:13,554 semantic_segmentation INFO: Iters: 8620/50000 || Lr: 0.016869 || Task Loss: 0.1151 || KD Loss: 0.0367|| 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: 7:38:33 || Estimated Time: 1 day, 12:41:14
2023-07-11 23:28:44,459 semantic_segmentation INFO: Iters: 8630/50000 || Lr: 0.016865 || Task Loss: 0.1075 || KD Loss: 0.0367|| 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: 7:39:04 || Estimated Time: 1 day, 12:40:37
2023-07-11 23:29:15,380 semantic_segmentation INFO: Iters: 8640/50000 || Lr: 0.016861 || Task Loss: 0.1262 || KD Loss: 0.0407|| 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: 7:39:35 || Estimated Time: 1 day, 12:40:00
2023-07-11 23:29:46,283 semantic_segmentation INFO: Iters: 8650/50000 || Lr: 0.016858 || Task Loss: 0.1079 || KD Loss: 0.0370|| 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: 7:40:06 || Estimated Time: 1 day, 12:39:23
2023-07-11 23:30:17,197 semantic_segmentation INFO: Iters: 8660/50000 || Lr: 0.016854 || Task Loss: 0.1157 || KD Loss: 0.0312|| 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: 7:40:37 || Estimated Time: 1 day, 12:38:47
2023-07-11 23:30:48,087 semantic_segmentation INFO: Iters: 8670/50000 || Lr: 0.016850 || Task Loss: 0.1075 || KD Loss: 0.0373|| 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: 7:41:08 || Estimated Time: 1 day, 12:38:10
2023-07-11 23:31:18,988 semantic_segmentation INFO: Iters: 8680/50000 || Lr: 0.016847 || Task Loss: 0.1451 || KD Loss: 0.0374|| 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: 7:41:39 || Estimated Time: 1 day, 12:37:33
2023-07-11 23:31:49,891 semantic_segmentation INFO: Iters: 8690/50000 || Lr: 0.016843 || Task Loss: 0.1182 || KD Loss: 0.0448|| 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: 7:42:10 || Estimated Time: 1 day, 12:36:57
2023-07-11 23:32:20,821 semantic_segmentation INFO: Iters: 8700/50000 || Lr: 0.016839 || Task Loss: 0.0990 || KD Loss: 0.0326|| 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: 7:42:41 || Estimated Time: 1 day, 12:36:20
2023-07-11 23:32:51,769 semantic_segmentation INFO: Iters: 8710/50000 || Lr: 0.016836 || Task Loss: 0.1056 || KD Loss: 0.0336|| 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: 7:43:12 || Estimated Time: 1 day, 12:35:43
2023-07-11 23:33:22,663 semantic_segmentation INFO: Iters: 8720/50000 || Lr: 0.016832 || Task Loss: 0.1344 || KD Loss: 0.0389|| 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: 7:43:42 || Estimated Time: 1 day, 12:35:07
2023-07-11 23:33:53,588 semantic_segmentation INFO: Iters: 8730/50000 || Lr: 0.016828 || Task Loss: 0.1202 || KD Loss: 0.0387|| 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: 7:44:13 || Estimated Time: 1 day, 12:34:30
2023-07-11 23:34:24,479 semantic_segmentation INFO: Iters: 8740/50000 || Lr: 0.016825 || Task Loss: 0.1132 || KD Loss: 0.0386|| 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: 7:44:44 || Estimated Time: 1 day, 12:33:54
2023-07-11 23:34:55,345 semantic_segmentation INFO: Iters: 8750/50000 || Lr: 0.016821 || Task Loss: 0.1075 || KD Loss: 0.0323|| 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: 7:45:15 || Estimated Time: 1 day, 12:33:17
2023-07-11 23:35:26,255 semantic_segmentation INFO: Iters: 8760/50000 || Lr: 0.016817 || Task Loss: 0.1321 || KD Loss: 0.0388|| 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: 7:45:46 || Estimated Time: 1 day, 12:32:40
2023-07-11 23:35:57,160 semantic_segmentation INFO: Iters: 8770/50000 || Lr: 0.016814 || Task Loss: 0.1272 || KD Loss: 0.0403|| 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: 7:46:17 || Estimated Time: 1 day, 12:32:04
2023-07-11 23:36:28,091 semantic_segmentation INFO: Iters: 8780/50000 || Lr: 0.016810 || Task Loss: 0.1316 || KD Loss: 0.0405|| 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: 7:46:48 || Estimated Time: 1 day, 12:31:27
2023-07-11 23:36:59,023 semantic_segmentation INFO: Iters: 8790/50000 || Lr: 0.016806 || Task Loss: 0.1244 || 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: 7:47:19 || Estimated Time: 1 day, 12:30:51
2023-07-11 23:37:29,954 semantic_segmentation INFO: Iters: 8800/50000 || Lr: 0.016803 || Task Loss: 0.1487 || KD Loss: 0.0395|| 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: 7:47:50 || Estimated Time: 1 day, 12:30:14
2023-07-11 23:37:30,041 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-11 23:37:30,231 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.719
2023-07-11 23:37:30,264 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-11 23:37:30,278 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.960, mIoU: 0.717
2023-07-11 23:37:30,292 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.959, mIoU: 0.712
2023-07-11 23:37:30,304 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.959, mIoU: 0.708
2023-07-11 23:37:30,316 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.959, mIoU: 0.710
2023-07-11 23:37:30,328 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.959, mIoU: 0.711
2023-07-11 23:37:30,341 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.959, mIoU: 0.712
2023-07-11 23:37:30,352 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.959, mIoU: 0.709
2023-07-11 23:37:30,364 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.959, mIoU: 0.710
2023-07-11 23:37:30,376 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.959, mIoU: 0.711
2023-07-11 23:37:30,388 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.958, mIoU: 0.711
2023-07-11 23:37:30,400 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.958, mIoU: 0.715
2023-07-11 23:37:30,412 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.958, mIoU: 0.718
2023-07-11 23:37:30,424 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.720
2023-07-11 23:37:30,437 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.723
2023-07-11 23:37:30,449 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.724
2023-07-11 23:37:30,461 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.959, mIoU: 0.725
2023-07-11 23:37:30,474 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.958, mIoU: 0.724
2023-07-11 23:37:30,486 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.958, mIoU: 0.724
2023-07-11 23:37:30,498 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.958, mIoU: 0.725
2023-07-11 23:37:30,510 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.957, mIoU: 0.723
2023-07-11 23:37:30,522 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.957, mIoU: 0.723
2023-07-11 23:37:30,535 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.957, mIoU: 0.722
2023-07-11 23:37:30,547 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.957, mIoU: 0.723
2023-07-11 23:37:30,559 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.957, mIoU: 0.722
2023-07-11 23:37:30,571 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.957, mIoU: 0.722
2023-07-11 23:37:30,584 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.957, mIoU: 0.721
2023-07-11 23:37:30,596 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.957, mIoU: 0.722
2023-07-11 23:37:30,608 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.957, mIoU: 0.722
2023-07-11 23:37:30,620 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.957, mIoU: 0.724
2023-07-11 23:37:30,633 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.957, mIoU: 0.725
2023-07-11 23:37:30,645 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.957, mIoU: 0.725
2023-07-11 23:37:30,658 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.957, mIoU: 0.724
2023-07-11 23:37:30,671 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.957, mIoU: 0.725
2023-07-11 23:37:30,683 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.956, mIoU: 0.724
2023-07-11 23:37:30,696 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.955, mIoU: 0.724
2023-07-11 23:37:30,709 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.955, mIoU: 0.726
2023-07-11 23:37:30,721 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.955, mIoU: 0.726
2023-07-11 23:37:30,735 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.955, mIoU: 0.728
2023-07-11 23:37:30,747 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.955, mIoU: 0.729
2023-07-11 23:37:30,760 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.955, mIoU: 0.731
2023-07-11 23:37:30,772 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.733
2023-07-11 23:37:30,785 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-11 23:37:30,798 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.734
2023-07-11 23:37:30,812 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.955, mIoU: 0.736
2023-07-11 23:37:30,825 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.955, mIoU: 0.737
2023-07-11 23:37:30,838 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.955, mIoU: 0.739
2023-07-11 23:37:30,850 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.955, mIoU: 0.740
2023-07-11 23:37:30,863 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.740
2023-07-11 23:37:30,875 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.954, mIoU: 0.742
2023-07-11 23:37:30,887 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.743
2023-07-11 23:37:30,899 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.744
2023-07-11 23:37:30,912 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.953, mIoU: 0.745
2023-07-11 23:37:30,924 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.953, mIoU: 0.746
2023-07-11 23:37:30,937 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.746
2023-07-11 23:37:30,949 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.747
2023-07-11 23:37:30,961 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.952, mIoU: 0.748
2023-07-11 23:37:30,973 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.952, mIoU: 0.749
2023-07-11 23:37:30,985 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.952, mIoU: 0.749
2023-07-11 23:37:30,997 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.952, mIoU: 0.750
2023-07-11 23:37:31,010 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.751
2023-07-11 23:37:31,022 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.951, mIoU: 0.751
2023-07-11 23:37:31,034 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.951, mIoU: 0.752
2023-07-11 23:37:31,047 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.950, mIoU: 0.752
2023-07-11 23:37:31,059 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.950, mIoU: 0.753
2023-07-11 23:37:31,071 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.754
2023-07-11 23:37:31,083 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.949, mIoU: 0.755
2023-07-11 23:37:31,096 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.949, mIoU: 0.756
2023-07-11 23:37:31,108 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.757
2023-07-11 23:37:31,120 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-11 23:37:31,133 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-11 23:37:31,146 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-11 23:37:31,158 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-11 23:37:31,170 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-11 23:37:31,182 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-11 23:37:31,195 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-11 23:37:31,207 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 23:37:31,219 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 23:37:31,232 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 23:37:31,244 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 23:37:31,257 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-11 23:37:31,269 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-11 23:37:31,282 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-11 23:37:31,294 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-11 23:37:31,307 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-11 23:37:31,319 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-11 23:37:31,331 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-11 23:37:31,344 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-11 23:37:31,356 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 23:37:31,368 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 23:37:31,380 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-11 23:37:31,393 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-11 23:37:31,405 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-11 23:37:31,417 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-11 23:37:31,429 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-11 23:37:31,442 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-11 23:37:31,454 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-11 23:37:31,466 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-11 23:37:31,478 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-11 23:37:31,490 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-11 23:38:02,898 semantic_segmentation INFO: Iters: 8810/50000 || Lr: 0.016799 || Task Loss: 0.1239 || KD Loss: 0.0417|| 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: 7:48:23 || Estimated Time: 1 day, 12:29:47
2023-07-11 23:38:33,824 semantic_segmentation INFO: Iters: 8820/50000 || Lr: 0.016795 || Task Loss: 0.1136 || KD Loss: 0.0324|| 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: 7:48:54 || Estimated Time: 1 day, 12:29:11
2023-07-11 23:39:04,825 semantic_segmentation INFO: Iters: 8830/50000 || Lr: 0.016791 || Task Loss: 0.1192 || KD Loss: 0.0394|| 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: 7:49:25 || Estimated Time: 1 day, 12:28:35
2023-07-11 23:39:35,751 semantic_segmentation INFO: Iters: 8840/50000 || Lr: 0.016788 || Task Loss: 0.1378 || KD Loss: 0.0326|| 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: 7:49:56 || Estimated Time: 1 day, 12:27:58
2023-07-11 23:40:06,731 semantic_segmentation INFO: Iters: 8850/50000 || Lr: 0.016784 || Task Loss: 0.1176 || KD Loss: 0.0370|| 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: 7:50:26 || Estimated Time: 1 day, 12:27:22
2023-07-11 23:40:37,698 semantic_segmentation INFO: Iters: 8860/50000 || Lr: 0.016780 || Task Loss: 0.1150 || KD Loss: 0.0342|| 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: 7:50:57 || Estimated Time: 1 day, 12:26:46
2023-07-11 23:41:08,583 semantic_segmentation INFO: Iters: 8870/50000 || Lr: 0.016777 || Task Loss: 0.1143 || KD Loss: 0.0366|| 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: 7:51:28 || Estimated Time: 1 day, 12:26:09
2023-07-11 23:41:39,528 semantic_segmentation INFO: Iters: 8880/50000 || Lr: 0.016773 || Task Loss: 0.1239 || 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: 7:51:59 || Estimated Time: 1 day, 12:25:33
2023-07-11 23:42:10,489 semantic_segmentation INFO: Iters: 8890/50000 || Lr: 0.016769 || Task Loss: 0.1008 || KD Loss: 0.0352|| 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: 7:52:30 || Estimated Time: 1 day, 12:24:57
2023-07-11 23:42:41,494 semantic_segmentation INFO: Iters: 8900/50000 || Lr: 0.016766 || Task Loss: 0.1251 || KD Loss: 0.0376|| 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: 7:53:01 || Estimated Time: 1 day, 12:24:21
2023-07-11 23:43:12,397 semantic_segmentation INFO: Iters: 8910/50000 || Lr: 0.016762 || Task Loss: 0.1276 || KD Loss: 0.0408|| 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: 7:53:32 || Estimated Time: 1 day, 12:23:45
2023-07-11 23:43:43,317 semantic_segmentation INFO: Iters: 8920/50000 || Lr: 0.016758 || Task Loss: 0.1219 || KD Loss: 0.0379|| 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: 7:54:03 || Estimated Time: 1 day, 12:23:08
2023-07-11 23:44:14,264 semantic_segmentation INFO: Iters: 8930/50000 || Lr: 0.016755 || Task Loss: 0.1000 || KD Loss: 0.0309|| 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: 7:54:34 || Estimated Time: 1 day, 12:22:32
2023-07-11 23:44:45,152 semantic_segmentation INFO: Iters: 8940/50000 || Lr: 0.016751 || Task Loss: 0.1268 || KD Loss: 0.0355|| 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: 7:55:05 || Estimated Time: 1 day, 12:21:56
2023-07-11 23:45:16,102 semantic_segmentation INFO: Iters: 8950/50000 || Lr: 0.016747 || Task Loss: 0.1429 || 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: 7:55:36 || Estimated Time: 1 day, 12:21:19
2023-07-11 23:45:47,017 semantic_segmentation INFO: Iters: 8960/50000 || Lr: 0.016744 || Task Loss: 0.1293 || KD Loss: 0.0420|| 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: 7:56:07 || Estimated Time: 1 day, 12:20:43
2023-07-11 23:46:17,924 semantic_segmentation INFO: Iters: 8970/50000 || Lr: 0.016740 || Task Loss: 0.1223 || KD Loss: 0.0362|| 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: 7:56:38 || Estimated Time: 1 day, 12:20:07
2023-07-11 23:46:48,856 semantic_segmentation INFO: Iters: 8980/50000 || Lr: 0.016736 || Task Loss: 0.1287 || KD Loss: 0.0476|| 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: 7:57:09 || Estimated Time: 1 day, 12:19:30
2023-07-11 23:47:19,800 semantic_segmentation INFO: Iters: 8990/50000 || Lr: 0.016733 || Task Loss: 0.1294 || KD Loss: 0.0399|| 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: 7:57:40 || Estimated Time: 1 day, 12:18:54
2023-07-11 23:47:50,697 semantic_segmentation INFO: Iters: 9000/50000 || Lr: 0.016729 || Task Loss: 0.1191 || KD Loss: 0.0383|| 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: 7:58:10 || Estimated Time: 1 day, 12:18:18
2023-07-11 23:48:21,622 semantic_segmentation INFO: Iters: 9010/50000 || Lr: 0.016725 || Task Loss: 0.1245 || KD Loss: 0.0341|| 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: 7:58:41 || Estimated Time: 1 day, 12:17:42
2023-07-11 23:48:52,493 semantic_segmentation INFO: Iters: 9020/50000 || Lr: 0.016722 || Task Loss: 0.1265 || KD Loss: 0.0403|| 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: 7:59:12 || Estimated Time: 1 day, 12:17:05
2023-07-11 23:49:23,365 semantic_segmentation INFO: Iters: 9030/50000 || Lr: 0.016718 || Task Loss: 0.1073 || KD Loss: 0.0420|| 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: 7:59:43 || Estimated Time: 1 day, 12:16:29
2023-07-11 23:49:54,277 semantic_segmentation INFO: Iters: 9040/50000 || Lr: 0.016714 || Task Loss: 0.1358 || KD Loss: 0.0396|| 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: 8:00:14 || Estimated Time: 1 day, 12:15:53
2023-07-11 23:50:25,193 semantic_segmentation INFO: Iters: 9050/50000 || Lr: 0.016711 || Task Loss: 0.1417 || KD Loss: 0.0377|| 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: 8:00:45 || Estimated Time: 1 day, 12:15:17
2023-07-11 23:50:56,131 semantic_segmentation INFO: Iters: 9060/50000 || Lr: 0.016707 || Task Loss: 0.1339 || KD Loss: 0.0396|| 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: 8:01:16 || Estimated Time: 1 day, 12:14:40
2023-07-11 23:51:26,992 semantic_segmentation INFO: Iters: 9070/50000 || Lr: 0.016703 || Task Loss: 0.1074 || KD Loss: 0.0334|| 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: 8:01:47 || Estimated Time: 1 day, 12:14:04
2023-07-11 23:51:57,907 semantic_segmentation INFO: Iters: 9080/50000 || Lr: 0.016700 || Task Loss: 0.1229 || KD Loss: 0.0373|| 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: 8:02:18 || Estimated Time: 1 day, 12:13:28
2023-07-11 23:52:28,859 semantic_segmentation INFO: Iters: 9090/50000 || Lr: 0.016696 || Task Loss: 0.1135 || KD Loss: 0.0349|| 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: 8:02:49 || Estimated Time: 1 day, 12:12:52
2023-07-11 23:52:59,805 semantic_segmentation INFO: Iters: 9100/50000 || Lr: 0.016692 || Task Loss: 0.1116 || KD Loss: 0.0350|| 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: 8:03:20 || Estimated Time: 1 day, 12:12:16
2023-07-11 23:53:30,739 semantic_segmentation INFO: Iters: 9110/50000 || Lr: 0.016689 || Task Loss: 0.1116 || KD Loss: 0.0358|| 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: 8:03:51 || Estimated Time: 1 day, 12:11:40
2023-07-11 23:54:01,657 semantic_segmentation INFO: Iters: 9120/50000 || Lr: 0.016685 || Task Loss: 0.1499 || KD Loss: 0.0368|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0798|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:04:21 || Estimated Time: 1 day, 12:11:04
2023-07-11 23:54:32,579 semantic_segmentation INFO: Iters: 9130/50000 || Lr: 0.016681 || Task Loss: 0.1216 || KD Loss: 0.0397|| 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: 8:04:52 || Estimated Time: 1 day, 12:10:28
2023-07-11 23:55:03,449 semantic_segmentation INFO: Iters: 9140/50000 || Lr: 0.016678 || Task Loss: 0.1399 || KD Loss: 0.0357|| 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: 8:05:23 || Estimated Time: 1 day, 12:09:51
2023-07-11 23:55:34,414 semantic_segmentation INFO: Iters: 9150/50000 || Lr: 0.016674 || Task Loss: 0.1175 || KD Loss: 0.0392|| 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: 8:05:54 || Estimated Time: 1 day, 12:09:15
2023-07-11 23:56:05,340 semantic_segmentation INFO: Iters: 9160/50000 || Lr: 0.016670 || Task Loss: 0.1054 || KD Loss: 0.0370|| 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: 8:06:25 || Estimated Time: 1 day, 12:08:39
2023-07-11 23:56:36,271 semantic_segmentation INFO: Iters: 9170/50000 || Lr: 0.016667 || Task Loss: 0.1292 || KD Loss: 0.0390|| 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: 8:06:56 || Estimated Time: 1 day, 12:08:03
2023-07-11 23:57:07,167 semantic_segmentation INFO: Iters: 9180/50000 || Lr: 0.016663 || Task Loss: 0.1032 || KD Loss: 0.0359|| 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: 8:07:27 || Estimated Time: 1 day, 12:07:27
2023-07-11 23:57:38,074 semantic_segmentation INFO: Iters: 9190/50000 || Lr: 0.016659 || Task Loss: 0.1361 || KD Loss: 0.0485|| 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: 8:07:58 || Estimated Time: 1 day, 12:06:51
2023-07-11 23:58:09,024 semantic_segmentation INFO: Iters: 9200/50000 || Lr: 0.016656 || Task Loss: 0.1152 || KD Loss: 0.0315|| 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: 8:08:29 || Estimated Time: 1 day, 12:06:15
2023-07-11 23:58:39,945 semantic_segmentation INFO: Iters: 9210/50000 || Lr: 0.016652 || Task Loss: 0.1134 || KD Loss: 0.0344|| 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: 8:09:00 || Estimated Time: 1 day, 12:05:39
2023-07-11 23:59:10,893 semantic_segmentation INFO: Iters: 9220/50000 || Lr: 0.016648 || Task Loss: 0.1216 || KD Loss: 0.0365|| 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: 8:09:31 || Estimated Time: 1 day, 12:05:03
2023-07-11 23:59:41,842 semantic_segmentation INFO: Iters: 9230/50000 || Lr: 0.016645 || Task Loss: 0.1197 || 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: 8:10:02 || Estimated Time: 1 day, 12:04:27
2023-07-12 00:00:12,769 semantic_segmentation INFO: Iters: 9240/50000 || Lr: 0.016641 || Task Loss: 0.1245 || KD Loss: 0.0382|| 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: 8:10:33 || Estimated Time: 1 day, 12:03:52
2023-07-12 00:00:43,676 semantic_segmentation INFO: Iters: 9250/50000 || Lr: 0.016637 || Task Loss: 0.1109 || KD Loss: 0.0345|| 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: 8:11:03 || Estimated Time: 1 day, 12:03:16
2023-07-12 00:01:14,579 semantic_segmentation INFO: Iters: 9260/50000 || Lr: 0.016634 || Task Loss: 0.1157 || KD Loss: 0.0389|| 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: 8:11:34 || Estimated Time: 1 day, 12:02:39
2023-07-12 00:01:45,512 semantic_segmentation INFO: Iters: 9270/50000 || Lr: 0.016630 || Task Loss: 0.1194 || KD Loss: 0.0352|| 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: 8:12:05 || Estimated Time: 1 day, 12:02:04
2023-07-12 00:02:16,440 semantic_segmentation INFO: Iters: 9280/50000 || Lr: 0.016626 || Task Loss: 0.1180 || 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: 8:12:36 || Estimated Time: 1 day, 12:01:28
2023-07-12 00:02:47,344 semantic_segmentation INFO: Iters: 9290/50000 || Lr: 0.016623 || Task Loss: 0.1205 || KD Loss: 0.0340|| 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: 8:13:07 || Estimated Time: 1 day, 12:00:52
2023-07-12 00:03:18,223 semantic_segmentation INFO: Iters: 9300/50000 || Lr: 0.016619 || Task Loss: 0.1185 || KD Loss: 0.0317|| 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: 8:13:38 || Estimated Time: 1 day, 12:00:16
2023-07-12 00:03:49,128 semantic_segmentation INFO: Iters: 9310/50000 || Lr: 0.016615 || Task Loss: 0.1068 || KD Loss: 0.0323|| 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: 8:14:09 || Estimated Time: 1 day, 11:59:40
2023-07-12 00:04:20,097 semantic_segmentation INFO: Iters: 9320/50000 || Lr: 0.016612 || Task Loss: 0.1004 || KD Loss: 0.0436|| 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: 8:14:40 || Estimated Time: 1 day, 11:59:04
2023-07-12 00:04:51,008 semantic_segmentation INFO: Iters: 9330/50000 || Lr: 0.016608 || Task Loss: 0.1291 || KD Loss: 0.0363|| 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: 8:15:11 || Estimated Time: 1 day, 11:58:28
2023-07-12 00:05:21,918 semantic_segmentation INFO: Iters: 9340/50000 || Lr: 0.016604 || Task Loss: 0.1250 || KD Loss: 0.0358|| 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: 8:15:42 || Estimated Time: 1 day, 11:57:52
2023-07-12 00:05:52,842 semantic_segmentation INFO: Iters: 9350/50000 || Lr: 0.016600 || Task Loss: 0.1244 || KD Loss: 0.0441|| 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: 8:16:13 || Estimated Time: 1 day, 11:57:16
2023-07-12 00:06:23,757 semantic_segmentation INFO: Iters: 9360/50000 || Lr: 0.016597 || Task Loss: 0.1079 || KD Loss: 0.0364|| 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: 8:16:44 || Estimated Time: 1 day, 11:56:40
2023-07-12 00:06:54,680 semantic_segmentation INFO: Iters: 9370/50000 || Lr: 0.016593 || Task Loss: 0.1328 || KD Loss: 0.0362|| 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: 8:17:14 || Estimated Time: 1 day, 11:56:05
2023-07-12 00:07:25,622 semantic_segmentation INFO: Iters: 9380/50000 || Lr: 0.016589 || Task Loss: 0.1306 || KD Loss: 0.0391|| 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: 8:17:45 || Estimated Time: 1 day, 11:55:29
2023-07-12 00:07:56,555 semantic_segmentation INFO: Iters: 9390/50000 || Lr: 0.016586 || Task Loss: 0.1257 || KD Loss: 0.0400|| 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: 8:18:16 || Estimated Time: 1 day, 11:54:53
2023-07-12 00:08:27,527 semantic_segmentation INFO: Iters: 9400/50000 || Lr: 0.016582 || Task Loss: 0.1110 || KD Loss: 0.0297|| 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: 8:18:47 || Estimated Time: 1 day, 11:54:18
2023-07-12 00:08:58,516 semantic_segmentation INFO: Iters: 9410/50000 || Lr: 0.016578 || Task Loss: 0.1162 || KD Loss: 0.0356|| 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: 8:19:18 || Estimated Time: 1 day, 11:53:42
2023-07-12 00:09:29,485 semantic_segmentation INFO: Iters: 9420/50000 || Lr: 0.016575 || Task Loss: 0.1059 || KD Loss: 0.0341|| 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: 8:19:49 || Estimated Time: 1 day, 11:53:06
2023-07-12 00:10:00,500 semantic_segmentation INFO: Iters: 9430/50000 || Lr: 0.016571 || Task Loss: 0.1076 || KD Loss: 0.0309|| 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: 8:20:20 || Estimated Time: 1 day, 11:52:31
2023-07-12 00:10:31,425 semantic_segmentation INFO: Iters: 9440/50000 || Lr: 0.016567 || Task Loss: 0.1106 || KD Loss: 0.0372|| 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: 8:20:51 || Estimated Time: 1 day, 11:51:55
2023-07-12 00:11:02,377 semantic_segmentation INFO: Iters: 9450/50000 || Lr: 0.016564 || Task Loss: 0.1176 || KD Loss: 0.0369|| 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: 8:21:22 || Estimated Time: 1 day, 11:51:20
2023-07-12 00:11:33,329 semantic_segmentation INFO: Iters: 9460/50000 || Lr: 0.016560 || Task Loss: 0.1568 || KD Loss: 0.0415|| 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: 8:21:53 || Estimated Time: 1 day, 11:50:44
2023-07-12 00:12:04,278 semantic_segmentation INFO: Iters: 9470/50000 || Lr: 0.016556 || Task Loss: 0.1125 || KD Loss: 0.0365|| 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: 8:22:24 || Estimated Time: 1 day, 11:50:09
2023-07-12 00:12:35,253 semantic_segmentation INFO: Iters: 9480/50000 || Lr: 0.016553 || Task Loss: 0.1048 || KD Loss: 0.0355|| 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: 8:22:55 || Estimated Time: 1 day, 11:49:33
2023-07-12 00:13:06,231 semantic_segmentation INFO: Iters: 9490/50000 || Lr: 0.016549 || Task Loss: 0.1249 || KD Loss: 0.0370|| 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: 8:23:26 || Estimated Time: 1 day, 11:48:58
2023-07-12 00:13:37,206 semantic_segmentation INFO: Iters: 9500/50000 || Lr: 0.016545 || Task Loss: 0.1339 || KD Loss: 0.0369|| 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: 8:23:57 || Estimated Time: 1 day, 11:48:22
2023-07-12 00:14:08,184 semantic_segmentation INFO: Iters: 9510/50000 || Lr: 0.016542 || Task Loss: 0.1080 || KD Loss: 0.0336|| 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: 8:24:28 || Estimated Time: 1 day, 11:47:47
2023-07-12 00:14:39,135 semantic_segmentation INFO: Iters: 9520/50000 || Lr: 0.016538 || Task Loss: 0.1263 || KD Loss: 0.0352|| 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: 8:24:59 || Estimated Time: 1 day, 11:47:11
2023-07-12 00:15:10,077 semantic_segmentation INFO: Iters: 9530/50000 || Lr: 0.016534 || Task Loss: 0.1157 || KD Loss: 0.0330|| 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: 8:25:30 || Estimated Time: 1 day, 11:46:36
2023-07-12 00:15:41,022 semantic_segmentation INFO: Iters: 9540/50000 || Lr: 0.016531 || Task Loss: 0.1172 || KD Loss: 0.0322|| 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: 8:26:01 || Estimated Time: 1 day, 11:46:00
2023-07-12 00:16:11,930 semantic_segmentation INFO: Iters: 9550/50000 || Lr: 0.016527 || Task Loss: 0.1159 || KD Loss: 0.0327|| 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: 8:26:32 || Estimated Time: 1 day, 11:45:24
2023-07-12 00:16:42,868 semantic_segmentation INFO: Iters: 9560/50000 || Lr: 0.016523 || Task Loss: 0.1138 || KD Loss: 0.0346|| 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: 8:27:03 || Estimated Time: 1 day, 11:44:49
2023-07-12 00:17:13,799 semantic_segmentation INFO: Iters: 9570/50000 || Lr: 0.016520 || Task Loss: 0.1142 || KD Loss: 0.0323|| 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: 8:27:34 || Estimated Time: 1 day, 11:44:13
2023-07-12 00:17:44,740 semantic_segmentation INFO: Iters: 9580/50000 || Lr: 0.016516 || Task Loss: 0.1158 || KD Loss: 0.0343|| 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: 8:28:05 || Estimated Time: 1 day, 11:43:38
2023-07-12 00:18:15,647 semantic_segmentation INFO: Iters: 9590/50000 || Lr: 0.016512 || Task Loss: 0.1247 || KD Loss: 0.0361|| 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: 8:28:35 || Estimated Time: 1 day, 11:43:02
2023-07-12 00:18:46,567 semantic_segmentation INFO: Iters: 9600/50000 || Lr: 0.016509 || Task Loss: 0.1154 || KD Loss: 0.0384|| 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: 8:29:06 || Estimated Time: 1 day, 11:42:26
2023-07-12 00:18:46,659 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 00:18:46,850 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.734
2023-07-12 00:18:46,864 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 00:18:46,878 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-12 00:18:46,892 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.728
2023-07-12 00:18:46,904 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.723
2023-07-12 00:18:46,916 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.721
2023-07-12 00:18:46,928 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.721
2023-07-12 00:18:46,940 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.722
2023-07-12 00:18:46,951 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.719
2023-07-12 00:18:46,963 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.719
2023-07-12 00:18:46,975 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.718
2023-07-12 00:18:46,987 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.716
2023-07-12 00:18:46,999 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.717
2023-07-12 00:18:47,011 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.717
2023-07-12 00:18:47,023 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.718
2023-07-12 00:18:47,035 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.720
2023-07-12 00:18:47,046 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.721
2023-07-12 00:18:47,058 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.959, mIoU: 0.723
2023-07-12 00:18:47,070 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.958, mIoU: 0.722
2023-07-12 00:18:47,082 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.958, mIoU: 0.722
2023-07-12 00:18:47,094 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.958, mIoU: 0.724
2023-07-12 00:18:47,107 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.957, mIoU: 0.723
2023-07-12 00:18:47,119 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.957, mIoU: 0.722
2023-07-12 00:18:47,131 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.957, mIoU: 0.722
2023-07-12 00:18:47,143 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.957, mIoU: 0.723
2023-07-12 00:18:47,155 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.957, mIoU: 0.724
2023-07-12 00:18:47,168 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.957, mIoU: 0.723
2023-07-12 00:18:47,180 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.957, mIoU: 0.723
2023-07-12 00:18:47,192 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.957, mIoU: 0.724
2023-07-12 00:18:47,204 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.957, mIoU: 0.724
2023-07-12 00:18:47,216 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.725
2023-07-12 00:18:47,228 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.725
2023-07-12 00:18:47,241 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.957, mIoU: 0.725
2023-07-12 00:18:47,253 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.957, mIoU: 0.725
2023-07-12 00:18:47,265 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.957, mIoU: 0.725
2023-07-12 00:18:47,277 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.956, mIoU: 0.724
2023-07-12 00:18:47,289 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.955, mIoU: 0.723
2023-07-12 00:18:47,302 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.955, mIoU: 0.724
2023-07-12 00:18:47,314 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.955, mIoU: 0.723
2023-07-12 00:18:47,326 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.955, mIoU: 0.724
2023-07-12 00:18:47,338 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.955, mIoU: 0.725
2023-07-12 00:18:47,351 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.955, mIoU: 0.727
2023-07-12 00:18:47,363 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.955, mIoU: 0.728
2023-07-12 00:18:47,375 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.729
2023-07-12 00:18:47,387 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.730
2023-07-12 00:18:47,400 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.955, mIoU: 0.731
2023-07-12 00:18:47,412 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.955, mIoU: 0.733
2023-07-12 00:18:47,425 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.955, mIoU: 0.734
2023-07-12 00:18:47,438 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.955, mIoU: 0.735
2023-07-12 00:18:47,450 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.736
2023-07-12 00:18:47,463 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.954, mIoU: 0.736
2023-07-12 00:18:47,475 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.738
2023-07-12 00:18:47,487 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.739
2023-07-12 00:18:47,500 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.953, mIoU: 0.739
2023-07-12 00:18:47,513 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.953, mIoU: 0.740
2023-07-12 00:18:47,526 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.740
2023-07-12 00:18:47,538 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.952, mIoU: 0.740
2023-07-12 00:18:47,551 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.952, mIoU: 0.740
2023-07-12 00:18:47,564 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.952, mIoU: 0.741
2023-07-12 00:18:47,577 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.952, mIoU: 0.742
2023-07-12 00:18:47,590 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.951, mIoU: 0.743
2023-07-12 00:18:47,602 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.951, mIoU: 0.743
2023-07-12 00:18:47,615 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.951, mIoU: 0.744
2023-07-12 00:18:47,628 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.950, mIoU: 0.744
2023-07-12 00:18:47,641 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.950, mIoU: 0.744
2023-07-12 00:18:47,653 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.949, mIoU: 0.745
2023-07-12 00:18:47,666 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.949, mIoU: 0.746
2023-07-12 00:18:47,679 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.949, mIoU: 0.747
2023-07-12 00:18:47,691 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.948, mIoU: 0.747
2023-07-12 00:18:47,704 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.948, mIoU: 0.748
2023-07-12 00:18:47,716 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.947, mIoU: 0.748
2023-07-12 00:18:47,728 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.947, mIoU: 0.748
2023-07-12 00:18:47,740 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.947, mIoU: 0.748
2023-07-12 00:18:47,752 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.947, mIoU: 0.748
2023-07-12 00:18:47,764 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.946, mIoU: 0.747
2023-07-12 00:18:47,776 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.946, mIoU: 0.746
2023-07-12 00:18:47,788 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.946, mIoU: 0.746
2023-07-12 00:18:47,800 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.946, mIoU: 0.745
2023-07-12 00:18:47,812 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.946, mIoU: 0.744
2023-07-12 00:18:47,824 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.945, mIoU: 0.743
2023-07-12 00:18:47,836 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.945, mIoU: 0.742
2023-07-12 00:18:47,848 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.945, mIoU: 0.741
2023-07-12 00:18:47,860 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.945, mIoU: 0.740
2023-07-12 00:18:47,872 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.944, mIoU: 0.739
2023-07-12 00:18:47,884 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.944, mIoU: 0.738
2023-07-12 00:18:47,896 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.944, mIoU: 0.738
2023-07-12 00:18:47,908 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.944, mIoU: 0.738
2023-07-12 00:18:47,920 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.944, mIoU: 0.738
2023-07-12 00:18:47,932 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.944, mIoU: 0.738
2023-07-12 00:18:47,944 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-12 00:18:47,956 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-12 00:18:47,968 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-12 00:18:47,980 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-12 00:18:47,992 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.944, mIoU: 0.736
2023-07-12 00:18:48,004 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.945, mIoU: 0.736
2023-07-12 00:18:48,016 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.945, mIoU: 0.736
2023-07-12 00:18:48,028 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.945, mIoU: 0.736
2023-07-12 00:18:48,040 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.945, mIoU: 0.737
2023-07-12 00:18:48,052 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.945, mIoU: 0.737
2023-07-12 00:18:48,064 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.945, mIoU: 0.737
2023-07-12 00:18:48,076 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.946, mIoU: 0.737
2023-07-12 00:19:19,248 semantic_segmentation INFO: Iters: 9610/50000 || Lr: 0.016505 || Task Loss: 0.1197 || KD Loss: 0.0383|| 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: 8:29:39 || Estimated Time: 1 day, 11:41:58
2023-07-12 00:19:50,191 semantic_segmentation INFO: Iters: 9620/50000 || Lr: 0.016501 || Task Loss: 0.1212 || KD Loss: 0.0360|| 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: 8:30:10 || Estimated Time: 1 day, 11:41:23
2023-07-12 00:20:21,120 semantic_segmentation INFO: Iters: 9630/50000 || Lr: 0.016498 || Task Loss: 0.1282 || KD Loss: 0.0391|| 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: 8:30:41 || Estimated Time: 1 day, 11:40:47
2023-07-12 00:20:52,051 semantic_segmentation INFO: Iters: 9640/50000 || Lr: 0.016494 || Task Loss: 0.1312 || KD Loss: 0.0378|| 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: 8:31:12 || Estimated Time: 1 day, 11:40:12
2023-07-12 00:21:22,998 semantic_segmentation INFO: Iters: 9650/50000 || Lr: 0.016490 || Task Loss: 0.1117 || KD Loss: 0.0380|| 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: 8:31:43 || Estimated Time: 1 day, 11:39:36
2023-07-12 00:21:53,995 semantic_segmentation INFO: Iters: 9660/50000 || Lr: 0.016487 || Task Loss: 0.1140 || KD Loss: 0.0363|| 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: 8:32:14 || Estimated Time: 1 day, 11:39:01
2023-07-12 00:22:24,968 semantic_segmentation INFO: Iters: 9670/50000 || Lr: 0.016483 || Task Loss: 0.1500 || KD Loss: 0.0377|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0772|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 8:32:45 || Estimated Time: 1 day, 11:38:26
2023-07-12 00:22:55,956 semantic_segmentation INFO: Iters: 9680/50000 || Lr: 0.016479 || Task Loss: 0.1071 || KD Loss: 0.0364|| 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: 8:33:16 || Estimated Time: 1 day, 11:37:50
2023-07-12 00:23:26,938 semantic_segmentation INFO: Iters: 9690/50000 || Lr: 0.016475 || Task Loss: 0.1191 || KD Loss: 0.0334|| 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: 8:33:47 || Estimated Time: 1 day, 11:37:15
2023-07-12 00:23:57,940 semantic_segmentation INFO: Iters: 9700/50000 || Lr: 0.016472 || Task Loss: 0.1329 || KD Loss: 0.0357|| 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: 8:34:18 || Estimated Time: 1 day, 11:36:40
2023-07-12 00:24:28,929 semantic_segmentation INFO: Iters: 9710/50000 || Lr: 0.016468 || Task Loss: 0.1057 || KD Loss: 0.0371|| 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: 8:34:49 || Estimated Time: 1 day, 11:36:05
2023-07-12 00:24:59,898 semantic_segmentation INFO: Iters: 9720/50000 || Lr: 0.016464 || Task Loss: 0.1143 || KD Loss: 0.0370|| 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: 8:35:20 || Estimated Time: 1 day, 11:35:29
2023-07-12 00:25:30,870 semantic_segmentation INFO: Iters: 9730/50000 || Lr: 0.016461 || Task Loss: 0.1161 || KD Loss: 0.0355|| 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: 8:35:51 || Estimated Time: 1 day, 11:34:54
2023-07-12 00:26:01,820 semantic_segmentation INFO: Iters: 9740/50000 || Lr: 0.016457 || Task Loss: 0.1073 || KD Loss: 0.0347|| 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: 8:36:22 || Estimated Time: 1 day, 11:34:19
2023-07-12 00:26:32,784 semantic_segmentation INFO: Iters: 9750/50000 || Lr: 0.016453 || Task Loss: 0.1277 || KD Loss: 0.0327|| 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: 8:36:53 || Estimated Time: 1 day, 11:33:43
2023-07-12 00:27:03,748 semantic_segmentation INFO: Iters: 9760/50000 || Lr: 0.016450 || Task Loss: 0.1076 || KD Loss: 0.0345|| 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: 8:37:24 || Estimated Time: 1 day, 11:33:08
2023-07-12 00:27:34,706 semantic_segmentation INFO: Iters: 9770/50000 || Lr: 0.016446 || Task Loss: 0.1252 || 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: 8:37:54 || Estimated Time: 1 day, 11:32:33
2023-07-12 00:28:05,674 semantic_segmentation INFO: Iters: 9780/50000 || Lr: 0.016442 || Task Loss: 0.1082 || KD Loss: 0.0365|| 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: 8:38:25 || Estimated Time: 1 day, 11:31:58
2023-07-12 00:28:36,603 semantic_segmentation INFO: Iters: 9790/50000 || Lr: 0.016439 || Task Loss: 0.1291 || KD Loss: 0.0346|| 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: 8:38:56 || Estimated Time: 1 day, 11:31:22
2023-07-12 00:29:07,525 semantic_segmentation INFO: Iters: 9800/50000 || Lr: 0.016435 || Task Loss: 0.1114 || 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: 8:39:27 || Estimated Time: 1 day, 11:30:47
2023-07-12 00:29:38,486 semantic_segmentation INFO: Iters: 9810/50000 || Lr: 0.016431 || Task Loss: 0.1114 || KD Loss: 0.0397|| 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: 8:39:58 || Estimated Time: 1 day, 11:30:11
2023-07-12 00:30:09,444 semantic_segmentation INFO: Iters: 9820/50000 || Lr: 0.016428 || Task Loss: 0.1294 || KD Loss: 0.0387|| 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: 8:40:29 || Estimated Time: 1 day, 11:29:36
2023-07-12 00:30:40,352 semantic_segmentation INFO: Iters: 9830/50000 || Lr: 0.016424 || Task Loss: 0.1125 || KD Loss: 0.0358|| 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: 8:41:00 || Estimated Time: 1 day, 11:29:01
2023-07-12 00:31:11,318 semantic_segmentation INFO: Iters: 9840/50000 || Lr: 0.016420 || Task Loss: 0.1150 || 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: 8:41:31 || Estimated Time: 1 day, 11:28:26
2023-07-12 00:31:42,257 semantic_segmentation INFO: Iters: 9850/50000 || Lr: 0.016417 || Task Loss: 0.1414 || KD Loss: 0.0318|| 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: 8:42:02 || Estimated Time: 1 day, 11:27:50
2023-07-12 00:32:13,210 semantic_segmentation INFO: Iters: 9860/50000 || Lr: 0.016413 || Task Loss: 0.1397 || KD Loss: 0.0418|| 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: 8:42:33 || Estimated Time: 1 day, 11:27:15
2023-07-12 00:32:44,130 semantic_segmentation INFO: Iters: 9870/50000 || Lr: 0.016409 || Task Loss: 0.1033 || KD Loss: 0.0335|| 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: 8:43:04 || Estimated Time: 1 day, 11:26:40
2023-07-12 00:33:15,059 semantic_segmentation INFO: Iters: 9880/50000 || Lr: 0.016406 || Task Loss: 0.1092 || KD Loss: 0.0386|| 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: 8:43:35 || Estimated Time: 1 day, 11:26:04
2023-07-12 00:33:45,955 semantic_segmentation INFO: Iters: 9890/50000 || Lr: 0.016402 || Task Loss: 0.1395 || KD Loss: 0.0349|| 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: 8:44:06 || Estimated Time: 1 day, 11:25:29
2023-07-12 00:34:16,870 semantic_segmentation INFO: Iters: 9900/50000 || Lr: 0.016398 || Task Loss: 0.1238 || KD Loss: 0.0303|| 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: 8:44:37 || Estimated Time: 1 day, 11:24:54
2023-07-12 00:34:47,834 semantic_segmentation INFO: Iters: 9910/50000 || Lr: 0.016395 || Task Loss: 0.1209 || KD Loss: 0.0393|| 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: 8:45:08 || Estimated Time: 1 day, 11:24:18
2023-07-12 00:35:18,826 semantic_segmentation INFO: Iters: 9920/50000 || Lr: 0.016391 || Task Loss: 0.1013 || KD Loss: 0.0320|| 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: 8:45:39 || Estimated Time: 1 day, 11:23:43
2023-07-12 00:35:49,776 semantic_segmentation INFO: Iters: 9930/50000 || Lr: 0.016387 || Task Loss: 0.1203 || KD Loss: 0.0352|| 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: 8:46:10 || Estimated Time: 1 day, 11:23:08
2023-07-12 00:36:20,721 semantic_segmentation INFO: Iters: 9940/50000 || Lr: 0.016383 || Task Loss: 0.0969 || KD Loss: 0.0326|| 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: 8:46:40 || Estimated Time: 1 day, 11:22:33
2023-07-12 00:36:51,696 semantic_segmentation INFO: Iters: 9950/50000 || Lr: 0.016380 || Task Loss: 0.1196 || KD Loss: 0.0410|| 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: 8:47:11 || Estimated Time: 1 day, 11:21:58
2023-07-12 00:37:22,654 semantic_segmentation INFO: Iters: 9960/50000 || Lr: 0.016376 || Task Loss: 0.1066 || KD Loss: 0.0379|| 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: 8:47:42 || Estimated Time: 1 day, 11:21:23
2023-07-12 00:37:53,630 semantic_segmentation INFO: Iters: 9970/50000 || Lr: 0.016372 || Task Loss: 0.1057 || KD Loss: 0.0322|| 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: 8:48:13 || Estimated Time: 1 day, 11:20:48
2023-07-12 00:38:24,589 semantic_segmentation INFO: Iters: 9980/50000 || Lr: 0.016369 || Task Loss: 0.1176 || KD Loss: 0.0342|| 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: 8:48:44 || Estimated Time: 1 day, 11:20:13
2023-07-12 00:38:55,531 semantic_segmentation INFO: Iters: 9990/50000 || Lr: 0.016365 || Task Loss: 0.1163 || KD Loss: 0.0321|| 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: 8:49:15 || Estimated Time: 1 day, 11:19:37
2023-07-12 00:39:26,462 semantic_segmentation INFO: Iters: 10000/50000 || Lr: 0.016361 || Task Loss: 0.1161 || KD Loss: 0.0301|| 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: 8:49:46 || Estimated Time: 1 day, 11:19:02
2023-07-12 00:39:57,416 semantic_segmentation INFO: Iters: 10010/50000 || Lr: 0.016358 || Task Loss: 0.1090 || KD Loss: 0.0339|| 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: 8:50:17 || Estimated Time: 1 day, 11:18:27
2023-07-12 00:40:28,344 semantic_segmentation INFO: Iters: 10020/50000 || Lr: 0.016354 || Task Loss: 0.1276 || KD Loss: 0.0448|| 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: 8:50:48 || Estimated Time: 1 day, 11:17:52
2023-07-12 00:40:59,308 semantic_segmentation INFO: Iters: 10030/50000 || Lr: 0.016350 || Task Loss: 0.1274 || KD Loss: 0.0330|| 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: 8:51:19 || Estimated Time: 1 day, 11:17:17
2023-07-12 00:41:30,270 semantic_segmentation INFO: Iters: 10040/50000 || Lr: 0.016347 || Task Loss: 0.1244 || 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: 8:51:50 || Estimated Time: 1 day, 11:16:42
2023-07-12 00:42:01,254 semantic_segmentation INFO: Iters: 10050/50000 || Lr: 0.016343 || Task Loss: 0.1067 || KD Loss: 0.0350|| 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: 8:52:21 || Estimated Time: 1 day, 11:16:07
2023-07-12 00:42:32,218 semantic_segmentation INFO: Iters: 10060/50000 || Lr: 0.016339 || Task Loss: 0.1260 || KD Loss: 0.0353|| 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: 8:52:52 || Estimated Time: 1 day, 11:15:32
2023-07-12 00:43:03,181 semantic_segmentation INFO: Iters: 10070/50000 || Lr: 0.016336 || Task Loss: 0.1119 || KD Loss: 0.0333|| 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: 8:53:23 || Estimated Time: 1 day, 11:14:57
2023-07-12 00:43:34,147 semantic_segmentation INFO: Iters: 10080/50000 || Lr: 0.016332 || Task Loss: 0.1283 || KD Loss: 0.0369|| 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: 8:53:54 || Estimated Time: 1 day, 11:14:22
2023-07-12 00:44:05,070 semantic_segmentation INFO: Iters: 10090/50000 || Lr: 0.016328 || Task Loss: 0.1081 || KD Loss: 0.0334|| 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: 8:54:25 || Estimated Time: 1 day, 11:13:47
2023-07-12 00:44:36,029 semantic_segmentation INFO: Iters: 10100/50000 || Lr: 0.016325 || Task Loss: 0.1212 || KD Loss: 0.0319|| 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: 8:54:56 || Estimated Time: 1 day, 11:13:12
2023-07-12 00:45:06,978 semantic_segmentation INFO: Iters: 10110/50000 || Lr: 0.016321 || Task Loss: 0.1283 || KD Loss: 0.0312|| 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: 8:55:27 || Estimated Time: 1 day, 11:12:37
2023-07-12 00:45:37,924 semantic_segmentation INFO: Iters: 10120/50000 || Lr: 0.016317 || Task Loss: 0.1193 || KD Loss: 0.0306|| 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: 8:55:58 || Estimated Time: 1 day, 11:12:02
2023-07-12 00:46:08,908 semantic_segmentation INFO: Iters: 10130/50000 || Lr: 0.016314 || Task Loss: 0.0932 || KD Loss: 0.0344|| 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: 8:56:29 || Estimated Time: 1 day, 11:11:27
2023-07-12 00:46:39,864 semantic_segmentation INFO: Iters: 10140/50000 || Lr: 0.016310 || Task Loss: 0.1116 || KD Loss: 0.0365|| 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: 8:57:00 || Estimated Time: 1 day, 11:10:52
2023-07-12 00:47:10,821 semantic_segmentation INFO: Iters: 10150/50000 || Lr: 0.016306 || Task Loss: 0.1255 || KD Loss: 0.0373|| 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: 8:57:31 || Estimated Time: 1 day, 11:10:17
2023-07-12 00:47:41,768 semantic_segmentation INFO: Iters: 10160/50000 || Lr: 0.016302 || Task Loss: 0.1094 || KD Loss: 0.0422|| 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: 8:58:02 || Estimated Time: 1 day, 11:09:42
2023-07-12 00:48:12,762 semantic_segmentation INFO: Iters: 10170/50000 || Lr: 0.016299 || Task Loss: 0.1123 || KD Loss: 0.0317|| 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: 8:58:33 || Estimated Time: 1 day, 11:09:07
2023-07-12 00:48:43,732 semantic_segmentation INFO: Iters: 10180/50000 || Lr: 0.016295 || Task Loss: 0.1054 || KD Loss: 0.0324|| 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: 8:59:03 || Estimated Time: 1 day, 11:08:32
2023-07-12 00:49:14,694 semantic_segmentation INFO: Iters: 10190/50000 || Lr: 0.016291 || Task Loss: 0.1186 || KD Loss: 0.0347|| 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: 8:59:34 || Estimated Time: 1 day, 11:07:57
2023-07-12 00:49:45,638 semantic_segmentation INFO: Iters: 10200/50000 || Lr: 0.016288 || Task Loss: 0.1220 || 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: 9:00:05 || Estimated Time: 1 day, 11:07:22
2023-07-12 00:50:16,529 semantic_segmentation INFO: Iters: 10210/50000 || Lr: 0.016284 || Task Loss: 0.1159 || KD Loss: 0.0358|| 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: 9:00:36 || Estimated Time: 1 day, 11:06:47
2023-07-12 00:50:47,485 semantic_segmentation INFO: Iters: 10220/50000 || Lr: 0.016280 || Task Loss: 0.1309 || KD Loss: 0.0340|| 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: 9:01:07 || Estimated Time: 1 day, 11:06:12
2023-07-12 00:51:18,401 semantic_segmentation INFO: Iters: 10230/50000 || Lr: 0.016277 || Task Loss: 0.1288 || KD Loss: 0.0355|| 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: 9:01:38 || Estimated Time: 1 day, 11:05:37
2023-07-12 00:51:49,371 semantic_segmentation INFO: Iters: 10240/50000 || Lr: 0.016273 || Task Loss: 0.1064 || KD Loss: 0.0373|| 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: 9:02:09 || Estimated Time: 1 day, 11:05:02
2023-07-12 00:52:20,337 semantic_segmentation INFO: Iters: 10250/50000 || Lr: 0.016269 || Task Loss: 0.1204 || KD Loss: 0.0361|| 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: 9:02:40 || Estimated Time: 1 day, 11:04:27
2023-07-12 00:52:51,285 semantic_segmentation INFO: Iters: 10260/50000 || Lr: 0.016266 || Task Loss: 0.1315 || KD Loss: 0.0402|| 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: 9:03:11 || Estimated Time: 1 day, 11:03:52
2023-07-12 00:53:22,243 semantic_segmentation INFO: Iters: 10270/50000 || Lr: 0.016262 || Task Loss: 0.1184 || KD Loss: 0.0388|| 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: 9:03:42 || Estimated Time: 1 day, 11:03:17
2023-07-12 00:53:53,215 semantic_segmentation INFO: Iters: 10280/50000 || Lr: 0.016258 || Task Loss: 0.1204 || KD Loss: 0.0367|| 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: 9:04:13 || Estimated Time: 1 day, 11:02:42
2023-07-12 00:54:24,198 semantic_segmentation INFO: Iters: 10290/50000 || Lr: 0.016255 || Task Loss: 0.1280 || KD Loss: 0.0332|| 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: 9:04:44 || Estimated Time: 1 day, 11:02:08
2023-07-12 00:54:55,129 semantic_segmentation INFO: Iters: 10300/50000 || Lr: 0.016251 || Task Loss: 0.1199 || KD Loss: 0.0312|| 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: 9:05:15 || Estimated Time: 1 day, 11:01:33
2023-07-12 00:55:26,116 semantic_segmentation INFO: Iters: 10310/50000 || Lr: 0.016247 || Task Loss: 0.1498 || KD Loss: 0.0363|| 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: 9:05:46 || Estimated Time: 1 day, 11:00:58
2023-07-12 00:55:57,095 semantic_segmentation INFO: Iters: 10320/50000 || Lr: 0.016244 || Task Loss: 0.1167 || 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: 9:06:17 || Estimated Time: 1 day, 11:00:23
2023-07-12 00:56:28,066 semantic_segmentation INFO: Iters: 10330/50000 || Lr: 0.016240 || Task Loss: 0.1343 || KD Loss: 0.0356|| 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: 9:06:48 || Estimated Time: 1 day, 10:59:48
2023-07-12 00:56:59,024 semantic_segmentation INFO: Iters: 10340/50000 || Lr: 0.016236 || Task Loss: 0.1402 || KD Loss: 0.0339|| 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: 9:07:19 || Estimated Time: 1 day, 10:59:14
2023-07-12 00:57:30,001 semantic_segmentation INFO: Iters: 10350/50000 || Lr: 0.016233 || Task Loss: 0.1155 || KD Loss: 0.0376|| 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: 9:07:50 || Estimated Time: 1 day, 10:58:39
2023-07-12 00:58:00,995 semantic_segmentation INFO: Iters: 10360/50000 || Lr: 0.016229 || Task Loss: 0.1196 || KD Loss: 0.0328|| 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: 9:08:21 || Estimated Time: 1 day, 10:58:04
2023-07-12 00:58:31,976 semantic_segmentation INFO: Iters: 10370/50000 || Lr: 0.016225 || Task Loss: 0.1209 || KD Loss: 0.0392|| 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: 9:08:52 || Estimated Time: 1 day, 10:57:29
2023-07-12 00:59:02,958 semantic_segmentation INFO: Iters: 10380/50000 || Lr: 0.016221 || Task Loss: 0.1434 || KD Loss: 0.0388|| 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: 9:09:23 || Estimated Time: 1 day, 10:56:55
2023-07-12 00:59:33,947 semantic_segmentation INFO: Iters: 10390/50000 || Lr: 0.016218 || Task Loss: 0.1288 || KD Loss: 0.0401|| 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: 9:09:54 || Estimated Time: 1 day, 10:56:20
2023-07-12 01:00:04,921 semantic_segmentation INFO: Iters: 10400/50000 || Lr: 0.016214 || Task Loss: 0.1028 || KD Loss: 0.0337|| 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: 9:10:25 || Estimated Time: 1 day, 10:55:45
2023-07-12 01:00:05,018 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 01:00:05,208 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.722
2023-07-12 01:00:05,233 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.725
2023-07-12 01:00:05,247 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.727
2023-07-12 01:00:05,259 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.723
2023-07-12 01:00:05,271 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.718
2023-07-12 01:00:05,283 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.721
2023-07-12 01:00:05,294 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-12 01:00:05,306 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-12 01:00:05,318 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.718
2023-07-12 01:00:05,330 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.718
2023-07-12 01:00:05,342 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-12 01:00:05,354 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.720
2023-07-12 01:00:05,366 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.724
2023-07-12 01:00:05,378 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.726
2023-07-12 01:00:05,391 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 01:00:05,403 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 01:00:05,415 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-12 01:00:05,427 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 01:00:05,439 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 01:00:05,451 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 01:00:05,463 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 01:00:05,475 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 01:00:05,488 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 01:00:05,500 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 01:00:05,512 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 01:00:05,524 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 01:00:05,536 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 01:00:05,548 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.731
2023-07-12 01:00:05,561 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 01:00:05,573 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 01:00:05,586 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 01:00:05,598 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 01:00:05,610 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 01:00:05,623 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 01:00:05,635 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 01:00:05,647 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.732
2023-07-12 01:00:05,660 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.732
2023-07-12 01:00:05,672 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.733
2023-07-12 01:00:05,684 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.733
2023-07-12 01:00:05,697 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 01:00:05,709 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.735
2023-07-12 01:00:05,721 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 01:00:05,734 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 01:00:05,747 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 01:00:05,759 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 01:00:05,772 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 01:00:05,785 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 01:00:05,798 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 01:00:05,811 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 01:00:05,823 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.746
2023-07-12 01:00:05,836 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.747
2023-07-12 01:00:05,849 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 01:00:05,861 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 01:00:05,874 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 01:00:05,886 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 01:00:05,899 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 01:00:05,912 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.751
2023-07-12 01:00:05,924 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 01:00:05,937 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 01:00:05,950 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 01:00:05,962 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 01:00:05,974 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-12 01:00:05,986 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-12 01:00:05,998 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 01:00:06,011 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.755
2023-07-12 01:00:06,024 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.756
2023-07-12 01:00:06,037 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.757
2023-07-12 01:00:06,049 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.758
2023-07-12 01:00:06,061 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.759
2023-07-12 01:00:06,073 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,086 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,098 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,110 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,122 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 01:00:06,134 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,146 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 01:00:06,159 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 01:00:06,171 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 01:00:06,184 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 01:00:06,197 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 01:00:06,209 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 01:00:06,222 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 01:00:06,234 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 01:00:06,247 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 01:00:06,259 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 01:00:06,272 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 01:00:06,284 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 01:00:06,296 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 01:00:06,309 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 01:00:06,321 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 01:00:06,334 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 01:00:06,346 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 01:00:06,358 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 01:00:06,370 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 01:00:06,383 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 01:00:06,395 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 01:00:06,407 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,419 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,431 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,443 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:06,455 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 01:00:37,892 semantic_segmentation INFO: Iters: 10410/50000 || Lr: 0.016210 || Task Loss: 0.1013 || KD Loss: 0.0365|| 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: 9:10:58 || Estimated Time: 1 day, 10:55:18
2023-07-12 01:01:08,835 semantic_segmentation INFO: Iters: 10420/50000 || Lr: 0.016207 || Task Loss: 0.1392 || KD Loss: 0.0367|| 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: 9:11:29 || Estimated Time: 1 day, 10:54:43
2023-07-12 01:01:39,777 semantic_segmentation INFO: Iters: 10430/50000 || Lr: 0.016203 || Task Loss: 0.1193 || KD Loss: 0.0367|| 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: 9:12:00 || Estimated Time: 1 day, 10:54:09
2023-07-12 01:02:10,717 semantic_segmentation INFO: Iters: 10440/50000 || Lr: 0.016199 || Task Loss: 0.1232 || KD Loss: 0.0382|| 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: 9:12:30 || Estimated Time: 1 day, 10:53:34
2023-07-12 01:02:41,697 semantic_segmentation INFO: Iters: 10450/50000 || Lr: 0.016196 || Task Loss: 0.1081 || KD Loss: 0.0323|| 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: 9:13:01 || Estimated Time: 1 day, 10:52:59
2023-07-12 01:03:12,648 semantic_segmentation INFO: Iters: 10460/50000 || Lr: 0.016192 || Task Loss: 0.1014 || KD Loss: 0.0351|| 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: 9:13:32 || Estimated Time: 1 day, 10:52:24
2023-07-12 01:03:43,614 semantic_segmentation INFO: Iters: 10470/50000 || Lr: 0.016188 || Task Loss: 0.1353 || KD Loss: 0.0354|| 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: 9:14:03 || Estimated Time: 1 day, 10:51:49
2023-07-12 01:04:14,552 semantic_segmentation INFO: Iters: 10480/50000 || Lr: 0.016185 || Task Loss: 0.1246 || KD Loss: 0.0352|| 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: 9:14:34 || Estimated Time: 1 day, 10:51:15
2023-07-12 01:04:45,475 semantic_segmentation INFO: Iters: 10490/50000 || Lr: 0.016181 || Task Loss: 0.1135 || KD Loss: 0.0382|| 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: 9:15:05 || Estimated Time: 1 day, 10:50:40
2023-07-12 01:05:16,423 semantic_segmentation INFO: Iters: 10500/50000 || Lr: 0.016177 || Task Loss: 0.1175 || 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: 9:15:36 || Estimated Time: 1 day, 10:50:05
2023-07-12 01:05:47,352 semantic_segmentation INFO: Iters: 10510/50000 || Lr: 0.016174 || Task Loss: 0.1103 || KD Loss: 0.0346|| 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: 9:16:07 || Estimated Time: 1 day, 10:49:30
2023-07-12 01:06:18,332 semantic_segmentation INFO: Iters: 10520/50000 || Lr: 0.016170 || Task Loss: 0.1211 || KD Loss: 0.0329|| 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: 9:16:38 || Estimated Time: 1 day, 10:48:56
2023-07-12 01:06:49,265 semantic_segmentation INFO: Iters: 10530/50000 || Lr: 0.016166 || Task Loss: 0.1170 || KD Loss: 0.0362|| 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: 9:17:09 || Estimated Time: 1 day, 10:48:21
2023-07-12 01:07:20,217 semantic_segmentation INFO: Iters: 10540/50000 || Lr: 0.016162 || Task Loss: 0.1028 || KD Loss: 0.0365|| 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: 9:17:40 || Estimated Time: 1 day, 10:47:46
2023-07-12 01:07:51,152 semantic_segmentation INFO: Iters: 10550/50000 || Lr: 0.016159 || Task Loss: 0.1020 || KD Loss: 0.0374|| 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: 9:18:11 || Estimated Time: 1 day, 10:47:11
2023-07-12 01:08:22,117 semantic_segmentation INFO: Iters: 10560/50000 || Lr: 0.016155 || Task Loss: 0.1154 || 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: 9:18:42 || Estimated Time: 1 day, 10:46:37
2023-07-12 01:08:53,030 semantic_segmentation INFO: Iters: 10570/50000 || Lr: 0.016151 || Task Loss: 0.1104 || KD Loss: 0.0352|| 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: 9:19:13 || Estimated Time: 1 day, 10:46:02
2023-07-12 01:09:24,015 semantic_segmentation INFO: Iters: 10580/50000 || Lr: 0.016148 || Task Loss: 0.1352 || KD Loss: 0.0333|| 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: 9:19:44 || Estimated Time: 1 day, 10:45:27
2023-07-12 01:09:54,972 semantic_segmentation INFO: Iters: 10590/50000 || Lr: 0.016144 || Task Loss: 0.1187 || KD Loss: 0.0328|| 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: 9:20:15 || Estimated Time: 1 day, 10:44:53
2023-07-12 01:10:25,888 semantic_segmentation INFO: Iters: 10600/50000 || Lr: 0.016140 || Task Loss: 0.1047 || KD Loss: 0.0372|| 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: 9:20:46 || Estimated Time: 1 day, 10:44:18
2023-07-12 01:10:56,804 semantic_segmentation INFO: Iters: 10610/50000 || Lr: 0.016137 || Task Loss: 0.1192 || KD Loss: 0.0312|| 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: 9:21:17 || Estimated Time: 1 day, 10:43:43
2023-07-12 01:11:27,753 semantic_segmentation INFO: Iters: 10620/50000 || Lr: 0.016133 || Task Loss: 0.1101 || KD Loss: 0.0326|| 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: 9:21:48 || Estimated Time: 1 day, 10:43:08
2023-07-12 01:11:58,689 semantic_segmentation INFO: Iters: 10630/50000 || Lr: 0.016129 || Task Loss: 0.1151 || KD Loss: 0.0315|| 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: 9:22:18 || Estimated Time: 1 day, 10:42:34
2023-07-12 01:12:29,670 semantic_segmentation INFO: Iters: 10640/50000 || Lr: 0.016126 || Task Loss: 0.1441 || KD Loss: 0.0353|| 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: 9:22:49 || Estimated Time: 1 day, 10:41:59
2023-07-12 01:13:00,706 semantic_segmentation INFO: Iters: 10650/50000 || Lr: 0.016122 || Task Loss: 0.1242 || KD Loss: 0.0325|| 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: 9:23:20 || Estimated Time: 1 day, 10:41:25
2023-07-12 01:13:31,668 semantic_segmentation INFO: Iters: 10660/50000 || Lr: 0.016118 || Task Loss: 0.1120 || KD Loss: 0.0324|| 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: 9:23:51 || Estimated Time: 1 day, 10:40:50
2023-07-12 01:14:02,627 semantic_segmentation INFO: Iters: 10670/50000 || Lr: 0.016115 || Task Loss: 0.1040 || KD Loss: 0.0306|| 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: 9:24:22 || Estimated Time: 1 day, 10:40:15
2023-07-12 01:14:33,587 semantic_segmentation INFO: Iters: 10680/50000 || Lr: 0.016111 || Task Loss: 0.1268 || KD Loss: 0.0368|| 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: 9:24:53 || Estimated Time: 1 day, 10:39:41
2023-07-12 01:15:04,569 semantic_segmentation INFO: Iters: 10690/50000 || Lr: 0.016107 || Task Loss: 0.1313 || KD Loss: 0.0456|| 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: 9:25:24 || Estimated Time: 1 day, 10:39:06
2023-07-12 01:15:35,538 semantic_segmentation INFO: Iters: 10700/50000 || Lr: 0.016103 || Task Loss: 0.1264 || KD Loss: 0.0345|| 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: 9:25:55 || Estimated Time: 1 day, 10:38:32
2023-07-12 01:16:06,473 semantic_segmentation INFO: Iters: 10710/50000 || Lr: 0.016100 || Task Loss: 0.1476 || KD Loss: 0.0381|| 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: 9:26:26 || Estimated Time: 1 day, 10:37:57
2023-07-12 01:16:37,407 semantic_segmentation INFO: Iters: 10720/50000 || Lr: 0.016096 || Task Loss: 0.1097 || KD Loss: 0.0318|| 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: 9:26:57 || Estimated Time: 1 day, 10:37:23
2023-07-12 01:17:08,360 semantic_segmentation INFO: Iters: 10730/50000 || Lr: 0.016092 || Task Loss: 0.1319 || KD Loss: 0.0422|| 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: 9:27:28 || Estimated Time: 1 day, 10:36:48
2023-07-12 01:17:39,332 semantic_segmentation INFO: Iters: 10740/50000 || Lr: 0.016089 || Task Loss: 0.1240 || KD Loss: 0.0409|| 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: 9:27:59 || Estimated Time: 1 day, 10:36:13
2023-07-12 01:18:10,285 semantic_segmentation INFO: Iters: 10750/50000 || Lr: 0.016085 || Task Loss: 0.1269 || KD Loss: 0.0422|| 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: 9:28:30 || Estimated Time: 1 day, 10:35:39
2023-07-12 01:18:41,204 semantic_segmentation INFO: Iters: 10760/50000 || Lr: 0.016081 || Task Loss: 0.1201 || KD Loss: 0.0386|| 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: 9:29:01 || Estimated Time: 1 day, 10:35:04
2023-07-12 01:19:12,180 semantic_segmentation INFO: Iters: 10770/50000 || Lr: 0.016078 || Task Loss: 0.1134 || KD Loss: 0.0377|| 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: 9:29:32 || Estimated Time: 1 day, 10:34:30
2023-07-12 01:19:43,118 semantic_segmentation INFO: Iters: 10780/50000 || Lr: 0.016074 || Task Loss: 0.1327 || KD Loss: 0.0328|| 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: 9:30:03 || Estimated Time: 1 day, 10:33:55
2023-07-12 01:20:14,055 semantic_segmentation INFO: Iters: 10790/50000 || Lr: 0.016070 || Task Loss: 0.1153 || KD Loss: 0.0381|| 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: 9:30:34 || Estimated Time: 1 day, 10:33:21
2023-07-12 01:20:45,023 semantic_segmentation INFO: Iters: 10800/50000 || Lr: 0.016067 || Task Loss: 0.1063 || KD Loss: 0.0344|| 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: 9:31:05 || Estimated Time: 1 day, 10:32:46
2023-07-12 01:21:15,975 semantic_segmentation INFO: Iters: 10810/50000 || Lr: 0.016063 || Task Loss: 0.1021 || KD Loss: 0.0326|| 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: 9:31:36 || Estimated Time: 1 day, 10:32:11
2023-07-12 01:21:46,938 semantic_segmentation INFO: Iters: 10820/50000 || Lr: 0.016059 || Task Loss: 0.1172 || KD Loss: 0.0332|| 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: 9:32:07 || Estimated Time: 1 day, 10:31:37
2023-07-12 01:22:17,906 semantic_segmentation INFO: Iters: 10830/50000 || Lr: 0.016056 || Task Loss: 0.1101 || KD Loss: 0.0315|| 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: 9:32:38 || Estimated Time: 1 day, 10:31:02
2023-07-12 01:22:48,854 semantic_segmentation INFO: Iters: 10840/50000 || Lr: 0.016052 || Task Loss: 0.1251 || KD Loss: 0.0349|| 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: 9:33:09 || Estimated Time: 1 day, 10:30:28
2023-07-12 01:23:19,828 semantic_segmentation INFO: Iters: 10850/50000 || Lr: 0.016048 || Task Loss: 0.1073 || KD Loss: 0.0356|| 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: 9:33:40 || Estimated Time: 1 day, 10:29:54
2023-07-12 01:23:50,793 semantic_segmentation INFO: Iters: 10860/50000 || Lr: 0.016044 || Task Loss: 0.1054 || KD Loss: 0.0287|| 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: 9:34:11 || Estimated Time: 1 day, 10:29:19
2023-07-12 01:24:21,768 semantic_segmentation INFO: Iters: 10870/50000 || Lr: 0.016041 || Task Loss: 0.1113 || KD Loss: 0.0373|| 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: 9:34:42 || Estimated Time: 1 day, 10:28:45
2023-07-12 01:24:52,794 semantic_segmentation INFO: Iters: 10880/50000 || Lr: 0.016037 || Task Loss: 0.1069 || KD Loss: 0.0307|| 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: 9:35:13 || Estimated Time: 1 day, 10:28:11
2023-07-12 01:25:23,779 semantic_segmentation INFO: Iters: 10890/50000 || Lr: 0.016033 || Task Loss: 0.1099 || KD Loss: 0.0361|| 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: 9:35:44 || Estimated Time: 1 day, 10:27:36
2023-07-12 01:25:54,730 semantic_segmentation INFO: Iters: 10900/50000 || Lr: 0.016030 || Task Loss: 0.1127 || KD Loss: 0.0351|| 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: 9:36:14 || Estimated Time: 1 day, 10:27:02
2023-07-12 01:26:25,698 semantic_segmentation INFO: Iters: 10910/50000 || Lr: 0.016026 || Task Loss: 0.1290 || KD Loss: 0.0377|| 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: 9:36:45 || Estimated Time: 1 day, 10:26:27
2023-07-12 01:26:56,680 semantic_segmentation INFO: Iters: 10920/50000 || Lr: 0.016022 || Task Loss: 0.0989 || KD Loss: 0.0379|| 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: 9:37:16 || Estimated Time: 1 day, 10:25:53
2023-07-12 01:27:27,665 semantic_segmentation INFO: Iters: 10930/50000 || Lr: 0.016019 || Task Loss: 0.1101 || KD Loss: 0.0301|| 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: 9:37:47 || Estimated Time: 1 day, 10:25:19
2023-07-12 01:27:58,672 semantic_segmentation INFO: Iters: 10940/50000 || Lr: 0.016015 || Task Loss: 0.1180 || KD Loss: 0.0313|| 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: 9:38:18 || Estimated Time: 1 day, 10:24:44
2023-07-12 01:28:29,622 semantic_segmentation INFO: Iters: 10950/50000 || Lr: 0.016011 || Task Loss: 0.1286 || 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: 9:38:49 || Estimated Time: 1 day, 10:24:10
2023-07-12 01:29:00,602 semantic_segmentation INFO: Iters: 10960/50000 || Lr: 0.016008 || Task Loss: 0.1111 || KD Loss: 0.0319|| 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: 9:39:20 || Estimated Time: 1 day, 10:23:36
2023-07-12 01:29:31,585 semantic_segmentation INFO: Iters: 10970/50000 || Lr: 0.016004 || Task Loss: 0.1420 || KD Loss: 0.0333|| 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: 9:39:51 || Estimated Time: 1 day, 10:23:01
2023-07-12 01:30:02,563 semantic_segmentation INFO: Iters: 10980/50000 || Lr: 0.016000 || Task Loss: 0.1217 || KD Loss: 0.0341|| 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: 9:40:22 || Estimated Time: 1 day, 10:22:27
2023-07-12 01:30:33,511 semantic_segmentation INFO: Iters: 10990/50000 || Lr: 0.015997 || Task Loss: 0.1320 || KD Loss: 0.0442|| 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: 9:40:53 || Estimated Time: 1 day, 10:21:52
2023-07-12 01:31:04,475 semantic_segmentation INFO: Iters: 11000/50000 || Lr: 0.015993 || Task Loss: 0.0901 || 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: 9:41:24 || Estimated Time: 1 day, 10:21:18
2023-07-12 01:31:35,459 semantic_segmentation INFO: Iters: 11010/50000 || Lr: 0.015989 || Task Loss: 0.1136 || 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: 9:41:55 || Estimated Time: 1 day, 10:20:44
2023-07-12 01:32:06,459 semantic_segmentation INFO: Iters: 11020/50000 || Lr: 0.015985 || Task Loss: 0.1300 || 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: 9:42:26 || Estimated Time: 1 day, 10:20:10
2023-07-12 01:32:37,429 semantic_segmentation INFO: Iters: 11030/50000 || Lr: 0.015982 || Task Loss: 0.1272 || KD Loss: 0.0338|| 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: 9:42:57 || Estimated Time: 1 day, 10:19:35
2023-07-12 01:33:08,422 semantic_segmentation INFO: Iters: 11040/50000 || Lr: 0.015978 || Task Loss: 0.1361 || KD Loss: 0.0345|| 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: 9:43:28 || Estimated Time: 1 day, 10:19:01
2023-07-12 01:33:39,399 semantic_segmentation INFO: Iters: 11050/50000 || Lr: 0.015974 || Task Loss: 0.1193 || KD Loss: 0.0354|| 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: 9:43:59 || Estimated Time: 1 day, 10:18:27
2023-07-12 01:34:10,376 semantic_segmentation INFO: Iters: 11060/50000 || Lr: 0.015971 || Task Loss: 0.1100 || KD Loss: 0.0304|| 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: 9:44:30 || Estimated Time: 1 day, 10:17:52
2023-07-12 01:34:41,335 semantic_segmentation INFO: Iters: 11070/50000 || Lr: 0.015967 || Task Loss: 0.1190 || KD Loss: 0.0370|| 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: 9:45:01 || Estimated Time: 1 day, 10:17:18
2023-07-12 01:35:12,293 semantic_segmentation INFO: Iters: 11080/50000 || Lr: 0.015963 || Task Loss: 0.1163 || KD Loss: 0.0364|| 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: 9:45:32 || Estimated Time: 1 day, 10:16:44
2023-07-12 01:35:43,258 semantic_segmentation INFO: Iters: 11090/50000 || Lr: 0.015960 || Task Loss: 0.1219 || KD Loss: 0.0403|| 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: 9:46:03 || Estimated Time: 1 day, 10:16:09
2023-07-12 01:36:14,196 semantic_segmentation INFO: Iters: 11100/50000 || Lr: 0.015956 || Task Loss: 0.0961 || KD Loss: 0.0287|| 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: 9:46:34 || Estimated Time: 1 day, 10:15:35
2023-07-12 01:36:45,125 semantic_segmentation INFO: Iters: 11110/50000 || Lr: 0.015952 || Task Loss: 0.1266 || KD Loss: 0.0375|| 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: 9:47:05 || Estimated Time: 1 day, 10:15:01
2023-07-12 01:37:16,098 semantic_segmentation INFO: Iters: 11120/50000 || Lr: 0.015949 || Task Loss: 0.1212 || KD Loss: 0.0317|| 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: 9:47:36 || Estimated Time: 1 day, 10:14:26
2023-07-12 01:37:47,064 semantic_segmentation INFO: Iters: 11130/50000 || Lr: 0.015945 || Task Loss: 0.1179 || KD Loss: 0.0310|| 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: 9:48:07 || Estimated Time: 1 day, 10:13:52
2023-07-12 01:38:18,009 semantic_segmentation INFO: Iters: 11140/50000 || Lr: 0.015941 || Task Loss: 0.1274 || 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: 9:48:38 || Estimated Time: 1 day, 10:13:18
2023-07-12 01:38:48,992 semantic_segmentation INFO: Iters: 11150/50000 || Lr: 0.015937 || Task Loss: 0.1091 || KD Loss: 0.0400|| 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: 9:49:09 || Estimated Time: 1 day, 10:12:43
2023-07-12 01:39:19,952 semantic_segmentation INFO: Iters: 11160/50000 || Lr: 0.015934 || Task Loss: 0.1145 || KD Loss: 0.0359|| 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: 9:49:40 || Estimated Time: 1 day, 10:12:09
2023-07-12 01:39:50,931 semantic_segmentation INFO: Iters: 11170/50000 || Lr: 0.015930 || Task Loss: 0.1217 || KD Loss: 0.0396|| 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: 9:50:11 || Estimated Time: 1 day, 10:11:35
2023-07-12 01:40:21,907 semantic_segmentation INFO: Iters: 11180/50000 || Lr: 0.015926 || Task Loss: 0.1215 || KD Loss: 0.0341|| 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: 9:50:42 || Estimated Time: 1 day, 10:11:01
2023-07-12 01:40:52,922 semantic_segmentation INFO: Iters: 11190/50000 || Lr: 0.015923 || Task Loss: 0.1173 || KD Loss: 0.0333|| 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: 9:51:13 || Estimated Time: 1 day, 10:10:27
2023-07-12 01:41:23,872 semantic_segmentation INFO: Iters: 11200/50000 || Lr: 0.015919 || Task Loss: 0.1328 || KD Loss: 0.0351|| 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: 9:51:44 || Estimated Time: 1 day, 10:09:52
2023-07-12 01:41:23,963 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 01:41:24,155 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.737
2023-07-12 01:41:24,176 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.965, mIoU: 0.739
2023-07-12 01:41:24,190 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.965, mIoU: 0.739
2023-07-12 01:41:24,202 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.965, mIoU: 0.732
2023-07-12 01:41:24,214 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.965, mIoU: 0.729
2023-07-12 01:41:24,226 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.965, mIoU: 0.730
2023-07-12 01:41:24,239 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.965, mIoU: 0.730
2023-07-12 01:41:24,251 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.965, mIoU: 0.728
2023-07-12 01:41:24,263 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.964, mIoU: 0.722
2023-07-12 01:41:24,275 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.720
2023-07-12 01:41:24,288 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.963, mIoU: 0.720
2023-07-12 01:41:24,300 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-12 01:41:24,312 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.962, mIoU: 0.723
2023-07-12 01:41:24,324 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.962, mIoU: 0.725
2023-07-12 01:41:24,337 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.962, mIoU: 0.727
2023-07-12 01:41:24,349 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 01:41:24,361 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 01:41:24,373 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 01:41:24,385 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.729
2023-07-12 01:41:24,398 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.728
2023-07-12 01:41:24,410 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.729
2023-07-12 01:41:24,422 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.727
2023-07-12 01:41:24,434 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.727
2023-07-12 01:41:24,447 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.727
2023-07-12 01:41:24,460 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.727
2023-07-12 01:41:24,472 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.960, mIoU: 0.728
2023-07-12 01:41:24,485 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.960, mIoU: 0.728
2023-07-12 01:41:24,498 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.727
2023-07-12 01:41:24,510 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 01:41:24,523 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.730
2023-07-12 01:41:24,535 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.731
2023-07-12 01:41:24,548 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 01:41:24,561 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.733
2023-07-12 01:41:24,573 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 01:41:24,586 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 01:41:24,598 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 01:41:24,611 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 01:41:24,624 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 01:41:24,637 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.734
2023-07-12 01:41:24,651 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 01:41:24,663 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 01:41:24,676 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 01:41:24,688 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 01:41:24,700 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 01:41:24,712 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 01:41:24,725 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 01:41:24,737 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 01:41:24,749 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.958, mIoU: 0.745
2023-07-12 01:41:24,761 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 01:41:24,774 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-12 01:41:24,786 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 01:41:24,798 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 01:41:24,810 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 01:41:24,822 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 01:41:24,834 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 01:41:24,847 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 01:41:24,859 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 01:41:24,872 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 01:41:24,885 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 01:41:24,898 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 01:41:24,910 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 01:41:24,923 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 01:41:24,935 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-12 01:41:24,948 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 01:41:24,960 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 01:41:24,973 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-12 01:41:24,986 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 01:41:24,998 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 01:41:25,011 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 01:41:25,023 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 01:41:25,036 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-12 01:41:25,049 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 01:41:25,061 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 01:41:25,073 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 01:41:25,085 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 01:41:25,098 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 01:41:25,110 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 01:41:25,122 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 01:41:25,134 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 01:41:25,146 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 01:41:25,158 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 01:41:25,170 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 01:41:25,183 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 01:41:25,195 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 01:41:25,207 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 01:41:25,219 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 01:41:25,231 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 01:41:25,243 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 01:41:25,255 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 01:41:25,268 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 01:41:25,280 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 01:41:25,292 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 01:41:25,305 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 01:41:25,317 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 01:41:25,330 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 01:41:25,342 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 01:41:25,355 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 01:41:25,367 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-12 01:41:25,379 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-12 01:41:25,392 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-12 01:41:25,404 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-12 01:41:56,867 semantic_segmentation INFO: Iters: 11210/50000 || Lr: 0.015915 || Task Loss: 0.1201 || KD Loss: 0.0371|| 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: 9:52:17 || Estimated Time: 1 day, 10:09:25
2023-07-12 01:42:27,799 semantic_segmentation INFO: Iters: 11220/50000 || Lr: 0.015912 || Task Loss: 0.1256 || KD Loss: 0.0404|| 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: 9:52:48 || Estimated Time: 1 day, 10:08:51
2023-07-12 01:42:58,768 semantic_segmentation INFO: Iters: 11230/50000 || Lr: 0.015908 || Task Loss: 0.1093 || KD Loss: 0.0296|| 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: 9:53:19 || Estimated Time: 1 day, 10:08:17
2023-07-12 01:43:29,742 semantic_segmentation INFO: Iters: 11240/50000 || Lr: 0.015904 || Task Loss: 0.1171 || KD Loss: 0.0355|| 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: 9:53:50 || Estimated Time: 1 day, 10:07:42
2023-07-12 01:44:00,758 semantic_segmentation INFO: Iters: 11250/50000 || Lr: 0.015901 || Task Loss: 0.1072 || KD Loss: 0.0340|| 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: 9:54:21 || Estimated Time: 1 day, 10:07:08
2023-07-12 01:44:31,717 semantic_segmentation INFO: Iters: 11260/50000 || Lr: 0.015897 || Task Loss: 0.1156 || KD Loss: 0.0318|| 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: 9:54:51 || Estimated Time: 1 day, 10:06:34
2023-07-12 01:45:02,708 semantic_segmentation INFO: Iters: 11270/50000 || Lr: 0.015893 || Task Loss: 0.1163 || KD Loss: 0.0332|| 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: 9:55:22 || Estimated Time: 1 day, 10:06:00
2023-07-12 01:45:33,699 semantic_segmentation INFO: Iters: 11280/50000 || Lr: 0.015889 || Task Loss: 0.1088 || KD Loss: 0.0324|| 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: 9:55:53 || Estimated Time: 1 day, 10:05:26
2023-07-12 01:46:04,646 semantic_segmentation INFO: Iters: 11290/50000 || Lr: 0.015886 || Task Loss: 0.1158 || KD Loss: 0.0355|| 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: 9:56:24 || Estimated Time: 1 day, 10:04:52
2023-07-12 01:46:35,615 semantic_segmentation INFO: Iters: 11300/50000 || Lr: 0.015882 || Task Loss: 0.1310 || KD Loss: 0.0309|| 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: 9:56:55 || Estimated Time: 1 day, 10:04:17
2023-07-12 01:47:06,583 semantic_segmentation INFO: Iters: 11310/50000 || Lr: 0.015878 || Task Loss: 0.1183 || KD Loss: 0.0306|| 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: 9:57:26 || Estimated Time: 1 day, 10:03:43
2023-07-12 01:47:37,533 semantic_segmentation INFO: Iters: 11320/50000 || Lr: 0.015875 || Task Loss: 0.1076 || KD Loss: 0.0318|| 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: 9:57:57 || Estimated Time: 1 day, 10:03:09
2023-07-12 01:48:08,497 semantic_segmentation INFO: Iters: 11330/50000 || Lr: 0.015871 || Task Loss: 0.1306 || KD Loss: 0.0330|| 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: 9:58:28 || Estimated Time: 1 day, 10:02:35
2023-07-12 01:48:39,434 semantic_segmentation INFO: Iters: 11340/50000 || Lr: 0.015867 || Task Loss: 0.1065 || KD Loss: 0.0370|| 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: 9:58:59 || Estimated Time: 1 day, 10:02:01
2023-07-12 01:49:10,374 semantic_segmentation INFO: Iters: 11350/50000 || Lr: 0.015864 || Task Loss: 0.1223 || KD Loss: 0.0316|| 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: 9:59:30 || Estimated Time: 1 day, 10:01:26
2023-07-12 01:49:41,305 semantic_segmentation INFO: Iters: 11360/50000 || Lr: 0.015860 || Task Loss: 0.1024 || KD Loss: 0.0381|| 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: 10:00:01 || Estimated Time: 1 day, 10:00:52
2023-07-12 01:50:12,277 semantic_segmentation INFO: Iters: 11370/50000 || Lr: 0.015856 || Task Loss: 0.1188 || KD Loss: 0.0335|| 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: 10:00:32 || Estimated Time: 1 day, 10:00:18
2023-07-12 01:50:43,222 semantic_segmentation INFO: Iters: 11380/50000 || Lr: 0.015853 || Task Loss: 0.0996 || KD Loss: 0.0322|| 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: 10:01:03 || Estimated Time: 1 day, 9:59:44
2023-07-12 01:51:14,154 semantic_segmentation INFO: Iters: 11390/50000 || Lr: 0.015849 || Task Loss: 0.1136 || KD Loss: 0.0289|| 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: 10:01:34 || Estimated Time: 1 day, 9:59:09
2023-07-12 01:51:45,091 semantic_segmentation INFO: Iters: 11400/50000 || Lr: 0.015845 || Task Loss: 0.1078 || KD Loss: 0.0327|| 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: 10:02:05 || Estimated Time: 1 day, 9:58:35
2023-07-12 01:52:16,086 semantic_segmentation INFO: Iters: 11410/50000 || Lr: 0.015841 || Task Loss: 0.1119 || KD Loss: 0.0388|| 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: 10:02:36 || Estimated Time: 1 day, 9:58:01
2023-07-12 01:52:47,007 semantic_segmentation INFO: Iters: 11420/50000 || Lr: 0.015838 || Task Loss: 0.1083 || KD Loss: 0.0316|| 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: 10:03:07 || Estimated Time: 1 day, 9:57:27
2023-07-12 01:53:17,960 semantic_segmentation INFO: Iters: 11430/50000 || Lr: 0.015834 || Task Loss: 0.1020 || KD Loss: 0.0327|| 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: 10:03:38 || Estimated Time: 1 day, 9:56:53
2023-07-12 01:53:48,950 semantic_segmentation INFO: Iters: 11440/50000 || Lr: 0.015830 || Task Loss: 0.1262 || KD Loss: 0.0384|| 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: 10:04:09 || Estimated Time: 1 day, 9:56:19
2023-07-12 01:54:19,924 semantic_segmentation INFO: Iters: 11450/50000 || Lr: 0.015827 || Task Loss: 0.0941 || KD Loss: 0.0306|| 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: 10:04:40 || Estimated Time: 1 day, 9:55:45
2023-07-12 01:54:50,940 semantic_segmentation INFO: Iters: 11460/50000 || Lr: 0.015823 || Task Loss: 0.1108 || KD Loss: 0.0365|| 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: 10:05:11 || Estimated Time: 1 day, 9:55:11
2023-07-12 01:55:21,931 semantic_segmentation INFO: Iters: 11470/50000 || Lr: 0.015819 || Task Loss: 0.1108 || KD Loss: 0.0325|| 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: 10:05:42 || Estimated Time: 1 day, 9:54:37
2023-07-12 01:55:52,923 semantic_segmentation INFO: Iters: 11480/50000 || Lr: 0.015816 || Task Loss: 0.1317 || KD Loss: 0.0334|| 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: 10:06:13 || Estimated Time: 1 day, 9:54:03
2023-07-12 01:56:23,868 semantic_segmentation INFO: Iters: 11490/50000 || Lr: 0.015812 || Task Loss: 0.1015 || KD Loss: 0.0379|| 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: 10:06:44 || Estimated Time: 1 day, 9:53:28
2023-07-12 01:56:54,850 semantic_segmentation INFO: Iters: 11500/50000 || Lr: 0.015808 || Task Loss: 0.1067 || KD Loss: 0.0370|| 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: 10:07:15 || Estimated Time: 1 day, 9:52:54
2023-07-12 01:57:25,835 semantic_segmentation INFO: Iters: 11510/50000 || Lr: 0.015804 || Task Loss: 0.1391 || KD Loss: 0.0354|| 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: 10:07:46 || Estimated Time: 1 day, 9:52:20
2023-07-12 01:57:56,862 semantic_segmentation INFO: Iters: 11520/50000 || Lr: 0.015801 || Task Loss: 0.1153 || KD Loss: 0.0367|| 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: 10:08:17 || Estimated Time: 1 day, 9:51:47
2023-07-12 01:58:27,817 semantic_segmentation INFO: Iters: 11530/50000 || Lr: 0.015797 || Task Loss: 0.1306 || KD Loss: 0.0391|| 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: 10:08:48 || Estimated Time: 1 day, 9:51:12
2023-07-12 01:58:58,775 semantic_segmentation INFO: Iters: 11540/50000 || Lr: 0.015793 || Task Loss: 0.1161 || KD Loss: 0.0325|| 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: 10:09:19 || Estimated Time: 1 day, 9:50:38
2023-07-12 01:59:29,759 semantic_segmentation INFO: Iters: 11550/50000 || Lr: 0.015790 || Task Loss: 0.1329 || 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: 10:09:50 || Estimated Time: 1 day, 9:50:04
2023-07-12 02:00:00,771 semantic_segmentation INFO: Iters: 11560/50000 || Lr: 0.015786 || Task Loss: 0.1107 || KD Loss: 0.0383|| 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: 10:10:21 || Estimated Time: 1 day, 9:49:30
2023-07-12 02:00:31,703 semantic_segmentation INFO: Iters: 11570/50000 || Lr: 0.015782 || Task Loss: 0.1180 || KD Loss: 0.0381|| 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: 10:10:51 || Estimated Time: 1 day, 9:48:56
2023-07-12 02:01:02,679 semantic_segmentation INFO: Iters: 11580/50000 || Lr: 0.015779 || Task Loss: 0.1291 || KD Loss: 0.0407|| 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: 10:11:22 || Estimated Time: 1 day, 9:48:22
2023-07-12 02:01:33,601 semantic_segmentation INFO: Iters: 11590/50000 || Lr: 0.015775 || Task Loss: 0.1013 || KD Loss: 0.0350|| 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: 10:11:53 || Estimated Time: 1 day, 9:47:48
2023-07-12 02:02:04,542 semantic_segmentation INFO: Iters: 11600/50000 || Lr: 0.015771 || Task Loss: 0.1127 || KD Loss: 0.0312|| 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: 10:12:24 || Estimated Time: 1 day, 9:47:14
2023-07-12 02:02:35,488 semantic_segmentation INFO: Iters: 11610/50000 || Lr: 0.015768 || Task Loss: 0.1260 || KD Loss: 0.0313|| 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: 10:12:55 || Estimated Time: 1 day, 9:46:40
2023-07-12 02:03:06,466 semantic_segmentation INFO: Iters: 11620/50000 || Lr: 0.015764 || Task Loss: 0.1192 || KD Loss: 0.0357|| 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: 10:13:26 || Estimated Time: 1 day, 9:46:06
2023-07-12 02:03:37,428 semantic_segmentation INFO: Iters: 11630/50000 || Lr: 0.015760 || Task Loss: 0.1011 || KD Loss: 0.0324|| 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: 10:13:57 || Estimated Time: 1 day, 9:45:32
2023-07-12 02:04:08,385 semantic_segmentation INFO: Iters: 11640/50000 || Lr: 0.015756 || Task Loss: 0.0959 || KD Loss: 0.0333|| 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: 10:14:28 || Estimated Time: 1 day, 9:44:58
2023-07-12 02:04:39,325 semantic_segmentation INFO: Iters: 11650/50000 || Lr: 0.015753 || Task Loss: 0.1397 || KD Loss: 0.0350|| 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: 10:14:59 || Estimated Time: 1 day, 9:44:24
2023-07-12 02:05:10,313 semantic_segmentation INFO: Iters: 11660/50000 || Lr: 0.015749 || Task Loss: 0.1241 || KD Loss: 0.0368|| 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: 10:15:30 || Estimated Time: 1 day, 9:43:50
2023-07-12 02:05:41,304 semantic_segmentation INFO: Iters: 11670/50000 || Lr: 0.015745 || Task Loss: 0.1234 || KD Loss: 0.0345|| 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: 10:16:01 || Estimated Time: 1 day, 9:43:16
2023-07-12 02:06:12,270 semantic_segmentation INFO: Iters: 11680/50000 || Lr: 0.015742 || Task Loss: 0.1149 || KD Loss: 0.0326|| 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: 10:16:32 || Estimated Time: 1 day, 9:42:42
2023-07-12 02:06:43,250 semantic_segmentation INFO: Iters: 11690/50000 || Lr: 0.015738 || Task Loss: 0.1043 || KD Loss: 0.0287|| 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: 10:17:03 || Estimated Time: 1 day, 9:42:08
2023-07-12 02:07:14,202 semantic_segmentation INFO: Iters: 11700/50000 || Lr: 0.015734 || Task Loss: 0.1196 || KD Loss: 0.0337|| 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: 10:17:34 || Estimated Time: 1 day, 9:41:34
2023-07-12 02:07:45,157 semantic_segmentation INFO: Iters: 11710/50000 || Lr: 0.015731 || Task Loss: 0.1225 || KD Loss: 0.0415|| 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: 10:18:05 || Estimated Time: 1 day, 9:41:00
2023-07-12 02:08:16,124 semantic_segmentation INFO: Iters: 11720/50000 || Lr: 0.015727 || Task Loss: 0.1164 || KD Loss: 0.0331|| 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: 10:18:36 || Estimated Time: 1 day, 9:40:26
2023-07-12 02:08:47,092 semantic_segmentation INFO: Iters: 11730/50000 || Lr: 0.015723 || Task Loss: 0.1099 || KD Loss: 0.0355|| 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: 10:19:07 || Estimated Time: 1 day, 9:39:52
2023-07-12 02:09:18,123 semantic_segmentation INFO: Iters: 11740/50000 || Lr: 0.015719 || Task Loss: 0.1168 || KD Loss: 0.0347|| 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: 10:19:38 || Estimated Time: 1 day, 9:39:18
2023-07-12 02:09:49,129 semantic_segmentation INFO: Iters: 11750/50000 || Lr: 0.015716 || Task Loss: 0.1153 || KD Loss: 0.0355|| 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: 10:20:09 || Estimated Time: 1 day, 9:38:45
2023-07-12 02:10:20,147 semantic_segmentation INFO: Iters: 11760/50000 || Lr: 0.015712 || Task Loss: 0.1184 || KD Loss: 0.0307|| 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: 10:20:40 || Estimated Time: 1 day, 9:38:11
2023-07-12 02:10:51,115 semantic_segmentation INFO: Iters: 11770/50000 || Lr: 0.015708 || Task Loss: 0.1296 || KD Loss: 0.0361|| 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: 10:21:11 || Estimated Time: 1 day, 9:37:37
2023-07-12 02:11:22,111 semantic_segmentation INFO: Iters: 11780/50000 || Lr: 0.015705 || Task Loss: 0.0962 || KD Loss: 0.0301|| 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: 10:21:42 || Estimated Time: 1 day, 9:37:03
2023-07-12 02:11:53,119 semantic_segmentation INFO: Iters: 11790/50000 || Lr: 0.015701 || Task Loss: 0.1080 || KD Loss: 0.0336|| 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: 10:22:13 || Estimated Time: 1 day, 9:36:29
2023-07-12 02:12:24,133 semantic_segmentation INFO: Iters: 11800/50000 || Lr: 0.015697 || Task Loss: 0.1083 || KD Loss: 0.0331|| 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: 10:22:44 || Estimated Time: 1 day, 9:35:55
2023-07-12 02:12:55,136 semantic_segmentation INFO: Iters: 11810/50000 || Lr: 0.015694 || Task Loss: 0.1134 || KD Loss: 0.0315|| 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: 10:23:15 || Estimated Time: 1 day, 9:35:22
2023-07-12 02:13:26,136 semantic_segmentation INFO: Iters: 11820/50000 || Lr: 0.015690 || Task Loss: 0.1123 || KD Loss: 0.0368|| 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: 10:23:46 || Estimated Time: 1 day, 9:34:48
2023-07-12 02:13:57,159 semantic_segmentation INFO: Iters: 11830/50000 || Lr: 0.015686 || Task Loss: 0.1179 || KD Loss: 0.0332|| 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: 10:24:17 || Estimated Time: 1 day, 9:34:14
2023-07-12 02:14:28,178 semantic_segmentation INFO: Iters: 11840/50000 || Lr: 0.015682 || Task Loss: 0.1123 || KD Loss: 0.0344|| 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: 10:24:48 || Estimated Time: 1 day, 9:33:40
2023-07-12 02:14:59,165 semantic_segmentation INFO: Iters: 11850/50000 || Lr: 0.015679 || Task Loss: 0.1247 || KD Loss: 0.0409|| 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: 10:25:19 || Estimated Time: 1 day, 9:33:07
2023-07-12 02:15:30,156 semantic_segmentation INFO: Iters: 11860/50000 || Lr: 0.015675 || Task Loss: 0.1129 || KD Loss: 0.0352|| 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: 10:25:50 || Estimated Time: 1 day, 9:32:33
2023-07-12 02:16:01,147 semantic_segmentation INFO: Iters: 11870/50000 || Lr: 0.015671 || Task Loss: 0.1243 || KD Loss: 0.0322|| 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: 10:26:21 || Estimated Time: 1 day, 9:31:59
2023-07-12 02:16:32,187 semantic_segmentation INFO: Iters: 11880/50000 || Lr: 0.015668 || Task Loss: 0.1102 || KD Loss: 0.0348|| 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: 10:26:52 || Estimated Time: 1 day, 9:31:25
2023-07-12 02:17:03,156 semantic_segmentation INFO: Iters: 11890/50000 || Lr: 0.015664 || Task Loss: 0.1183 || KD Loss: 0.0309|| 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: 10:27:23 || Estimated Time: 1 day, 9:30:51
2023-07-12 02:17:34,114 semantic_segmentation INFO: Iters: 11900/50000 || Lr: 0.015660 || Task Loss: 0.1072 || KD Loss: 0.0363|| 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: 10:27:54 || Estimated Time: 1 day, 9:30:17
2023-07-12 02:18:05,068 semantic_segmentation INFO: Iters: 11910/50000 || Lr: 0.015657 || Task Loss: 0.1050 || KD Loss: 0.0327|| 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: 10:28:25 || Estimated Time: 1 day, 9:29:44
2023-07-12 02:18:36,009 semantic_segmentation INFO: Iters: 11920/50000 || Lr: 0.015653 || Task Loss: 0.1107 || KD Loss: 0.0357|| 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: 10:28:56 || Estimated Time: 1 day, 9:29:10
2023-07-12 02:19:06,985 semantic_segmentation INFO: Iters: 11930/50000 || Lr: 0.015649 || Task Loss: 0.1277 || KD Loss: 0.0310|| 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: 10:29:27 || Estimated Time: 1 day, 9:28:36
2023-07-12 02:19:37,957 semantic_segmentation INFO: Iters: 11940/50000 || Lr: 0.015645 || Task Loss: 0.1226 || KD Loss: 0.0344|| 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: 10:29:58 || Estimated Time: 1 day, 9:28:02
2023-07-12 02:20:08,913 semantic_segmentation INFO: Iters: 11950/50000 || Lr: 0.015642 || Task Loss: 0.0965 || KD Loss: 0.0389|| 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: 10:30:29 || Estimated Time: 1 day, 9:27:28
2023-07-12 02:20:39,902 semantic_segmentation INFO: Iters: 11960/50000 || Lr: 0.015638 || Task Loss: 0.1273 || KD Loss: 0.0353|| 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: 10:31:00 || Estimated Time: 1 day, 9:26:54
2023-07-12 02:21:10,870 semantic_segmentation INFO: Iters: 11970/50000 || Lr: 0.015634 || Task Loss: 0.1108 || KD Loss: 0.0315|| 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: 10:31:31 || Estimated Time: 1 day, 9:26:20
2023-07-12 02:21:41,820 semantic_segmentation INFO: Iters: 11980/50000 || Lr: 0.015631 || Task Loss: 0.0986 || KD Loss: 0.0310|| 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: 10:32:02 || Estimated Time: 1 day, 9:25:47
2023-07-12 02:22:12,741 semantic_segmentation INFO: Iters: 11990/50000 || Lr: 0.015627 || Task Loss: 0.1042 || KD Loss: 0.0329|| 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: 10:32:33 || Estimated Time: 1 day, 9:25:13
2023-07-12 02:22:43,740 semantic_segmentation INFO: Iters: 12000/50000 || Lr: 0.015623 || Task Loss: 0.1203 || KD Loss: 0.0312|| 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: 10:33:04 || Estimated Time: 1 day, 9:24:39
2023-07-12 02:22:43,830 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 02:22:44,027 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 02:22:44,044 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 02:22:44,056 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-12 02:22:44,068 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.728
2023-07-12 02:22:44,080 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.725
2023-07-12 02:22:44,092 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 02:22:44,104 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 02:22:44,116 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.726
2023-07-12 02:22:44,129 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.723
2023-07-12 02:22:44,141 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.723
2023-07-12 02:22:44,154 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.724
2023-07-12 02:22:44,166 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.723
2023-07-12 02:22:44,178 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.726
2023-07-12 02:22:44,193 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.729
2023-07-12 02:22:44,207 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 02:22:44,219 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.735
2023-07-12 02:22:44,232 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.736
2023-07-12 02:22:44,244 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 02:22:44,257 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 02:22:44,269 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 02:22:44,282 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 02:22:44,294 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 02:22:44,307 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 02:22:44,319 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.957, mIoU: 0.734
2023-07-12 02:22:44,332 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.957, mIoU: 0.735
2023-07-12 02:22:44,344 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 02:22:44,356 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 02:22:44,369 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 02:22:44,381 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 02:22:44,394 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 02:22:44,406 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 02:22:44,418 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 02:22:44,430 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.957, mIoU: 0.737
2023-07-12 02:22:44,443 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.957, mIoU: 0.736
2023-07-12 02:22:44,455 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.957, mIoU: 0.737
2023-07-12 02:22:44,467 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 02:22:44,480 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.955, mIoU: 0.736
2023-07-12 02:22:44,492 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.955, mIoU: 0.737
2023-07-12 02:22:44,504 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.955, mIoU: 0.737
2023-07-12 02:22:44,516 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.955, mIoU: 0.738
2023-07-12 02:22:44,529 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.955, mIoU: 0.739
2023-07-12 02:22:44,542 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.955, mIoU: 0.740
2023-07-12 02:22:44,554 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 02:22:44,567 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 02:22:44,580 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.744
2023-07-12 02:22:44,593 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.955, mIoU: 0.746
2023-07-12 02:22:44,605 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.955, mIoU: 0.747
2023-07-12 02:22:44,618 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 02:22:44,631 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 02:22:44,644 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 02:22:44,656 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 02:22:44,669 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 02:22:44,682 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 02:22:44,695 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 02:22:44,707 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 02:22:44,720 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 02:22:44,733 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 02:22:44,745 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-12 02:22:44,757 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 02:22:44,769 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 02:22:44,781 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 02:22:44,793 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 02:22:44,805 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 02:22:44,817 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 02:22:44,829 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.950, mIoU: 0.758
2023-07-12 02:22:44,841 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.950, mIoU: 0.758
2023-07-12 02:22:44,853 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 02:22:44,865 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 02:22:44,877 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 02:22:44,889 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 02:22:44,900 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 02:22:44,912 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 02:22:44,924 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 02:22:44,937 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 02:22:44,949 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 02:22:44,962 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 02:22:44,974 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 02:22:44,986 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-12 02:22:44,999 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-12 02:22:45,011 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-12 02:22:45,023 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 02:22:45,036 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.945, mIoU: 0.758
2023-07-12 02:22:45,048 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.945, mIoU: 0.757
2023-07-12 02:22:45,060 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.945, mIoU: 0.756
2023-07-12 02:22:45,073 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.945, mIoU: 0.755
2023-07-12 02:22:45,085 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.944, mIoU: 0.755
2023-07-12 02:22:45,097 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.944, mIoU: 0.755
2023-07-12 02:22:45,109 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.944, mIoU: 0.755
2023-07-12 02:22:45,121 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.944, mIoU: 0.755
2023-07-12 02:22:45,133 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.944, mIoU: 0.753
2023-07-12 02:22:45,146 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.944, mIoU: 0.753
2023-07-12 02:22:45,158 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.945, mIoU: 0.753
2023-07-12 02:22:45,170 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.945, mIoU: 0.753
2023-07-12 02:22:45,182 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.945, mIoU: 0.753
2023-07-12 02:22:45,195 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.945, mIoU: 0.753
2023-07-12 02:22:45,208 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.945, mIoU: 0.753
2023-07-12 02:22:45,222 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.945, mIoU: 0.753
2023-07-12 02:22:45,234 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.946, mIoU: 0.753
2023-07-12 02:22:45,246 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.946, mIoU: 0.753
2023-07-12 02:22:45,259 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.946, mIoU: 0.753
2023-07-12 02:22:45,271 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.946, mIoU: 0.753
2023-07-12 02:23:16,498 semantic_segmentation INFO: Iters: 12010/50000 || Lr: 0.015620 || Task Loss: 0.1065 || KD Loss: 0.0301|| 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: 10:33:36 || Estimated Time: 1 day, 9:24:11
2023-07-12 02:23:47,438 semantic_segmentation INFO: Iters: 12020/50000 || Lr: 0.015616 || Task Loss: 0.1053 || KD Loss: 0.0293|| 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: 10:34:07 || Estimated Time: 1 day, 9:23:37
2023-07-12 02:24:18,432 semantic_segmentation INFO: Iters: 12030/50000 || Lr: 0.015612 || Task Loss: 0.1134 || KD Loss: 0.0325|| 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: 10:34:38 || Estimated Time: 1 day, 9:23:03
2023-07-12 02:24:49,425 semantic_segmentation INFO: Iters: 12040/50000 || Lr: 0.015608 || Task Loss: 0.0986 || KD Loss: 0.0318|| 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: 10:35:09 || Estimated Time: 1 day, 9:22:29
2023-07-12 02:25:20,408 semantic_segmentation INFO: Iters: 12050/50000 || Lr: 0.015605 || Task Loss: 0.1158 || KD Loss: 0.0285|| 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: 10:35:40 || Estimated Time: 1 day, 9:21:56
2023-07-12 02:25:51,398 semantic_segmentation INFO: Iters: 12060/50000 || Lr: 0.015601 || Task Loss: 0.1017 || KD Loss: 0.0301|| 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: 10:36:11 || Estimated Time: 1 day, 9:21:22
2023-07-12 02:26:22,391 semantic_segmentation INFO: Iters: 12070/50000 || Lr: 0.015597 || Task Loss: 0.0978 || KD Loss: 0.0288|| 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: 10:36:42 || Estimated Time: 1 day, 9:20:48
2023-07-12 02:26:53,358 semantic_segmentation INFO: Iters: 12080/50000 || Lr: 0.015594 || Task Loss: 0.1107 || KD Loss: 0.0326|| 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: 10:37:13 || Estimated Time: 1 day, 9:20:14
2023-07-12 02:27:24,317 semantic_segmentation INFO: Iters: 12090/50000 || Lr: 0.015590 || Task Loss: 0.1300 || KD Loss: 0.0397|| 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: 10:37:44 || Estimated Time: 1 day, 9:19:41
2023-07-12 02:27:55,328 semantic_segmentation INFO: Iters: 12100/50000 || Lr: 0.015586 || Task Loss: 0.1164 || KD Loss: 0.0324|| 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: 10:38:15 || Estimated Time: 1 day, 9:19:07
2023-07-12 02:28:26,342 semantic_segmentation INFO: Iters: 12110/50000 || Lr: 0.015583 || Task Loss: 0.1206 || KD Loss: 0.0314|| 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: 10:38:46 || Estimated Time: 1 day, 9:18:33
2023-07-12 02:28:57,334 semantic_segmentation INFO: Iters: 12120/50000 || Lr: 0.015579 || Task Loss: 0.1191 || KD Loss: 0.0347|| 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: 10:39:17 || Estimated Time: 1 day, 9:18:00
2023-07-12 02:29:28,325 semantic_segmentation INFO: Iters: 12130/50000 || Lr: 0.015575 || Task Loss: 0.1117 || KD Loss: 0.0324|| 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: 10:39:48 || Estimated Time: 1 day, 9:17:26
2023-07-12 02:29:59,335 semantic_segmentation INFO: Iters: 12140/50000 || Lr: 0.015571 || Task Loss: 0.1104 || KD Loss: 0.0332|| 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: 10:40:19 || Estimated Time: 1 day, 9:16:52
2023-07-12 02:30:30,268 semantic_segmentation INFO: Iters: 12150/50000 || Lr: 0.015568 || Task Loss: 0.1102 || KD Loss: 0.0320|| 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: 10:40:50 || Estimated Time: 1 day, 9:16:18
2023-07-12 02:31:01,258 semantic_segmentation INFO: Iters: 12160/50000 || Lr: 0.015564 || Task Loss: 0.0997 || KD Loss: 0.0288|| 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: 10:41:21 || Estimated Time: 1 day, 9:15:45
2023-07-12 02:31:32,236 semantic_segmentation INFO: Iters: 12170/50000 || Lr: 0.015560 || Task Loss: 0.1216 || KD Loss: 0.0337|| 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: 10:41:52 || Estimated Time: 1 day, 9:15:11
2023-07-12 02:32:03,166 semantic_segmentation INFO: Iters: 12180/50000 || Lr: 0.015557 || Task Loss: 0.1047 || KD Loss: 0.0335|| 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: 10:42:23 || Estimated Time: 1 day, 9:14:37
2023-07-12 02:32:34,131 semantic_segmentation INFO: Iters: 12190/50000 || Lr: 0.015553 || Task Loss: 0.1209 || KD Loss: 0.0335|| 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: 10:42:54 || Estimated Time: 1 day, 9:14:03
2023-07-12 02:33:05,122 semantic_segmentation INFO: Iters: 12200/50000 || Lr: 0.015549 || Task Loss: 0.1282 || KD Loss: 0.0476|| 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: 10:43:25 || Estimated Time: 1 day, 9:13:30
2023-07-12 02:33:36,035 semantic_segmentation INFO: Iters: 12210/50000 || Lr: 0.015546 || Task Loss: 0.1108 || KD Loss: 0.0311|| 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: 10:43:56 || Estimated Time: 1 day, 9:12:56
2023-07-12 02:34:06,951 semantic_segmentation INFO: Iters: 12220/50000 || Lr: 0.015542 || Task Loss: 0.1252 || KD Loss: 0.0365|| 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: 10:44:27 || Estimated Time: 1 day, 9:12:22
2023-07-12 02:34:37,908 semantic_segmentation INFO: Iters: 12230/50000 || Lr: 0.015538 || Task Loss: 0.0972 || KD Loss: 0.0302|| 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: 10:44:58 || Estimated Time: 1 day, 9:11:48
2023-07-12 02:35:08,851 semantic_segmentation INFO: Iters: 12240/50000 || Lr: 0.015534 || Task Loss: 0.1148 || KD Loss: 0.0315|| 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: 10:45:29 || Estimated Time: 1 day, 9:11:14
2023-07-12 02:35:39,824 semantic_segmentation INFO: Iters: 12250/50000 || Lr: 0.015531 || Task Loss: 0.1093 || 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: 10:46:00 || Estimated Time: 1 day, 9:10:41
2023-07-12 02:36:10,765 semantic_segmentation INFO: Iters: 12260/50000 || Lr: 0.015527 || Task Loss: 0.1168 || KD Loss: 0.0370|| 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: 10:46:31 || Estimated Time: 1 day, 9:10:07
2023-07-12 02:36:41,700 semantic_segmentation INFO: Iters: 12270/50000 || Lr: 0.015523 || Task Loss: 0.1284 || KD Loss: 0.0390|| 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: 10:47:01 || Estimated Time: 1 day, 9:09:33
2023-07-12 02:37:12,673 semantic_segmentation INFO: Iters: 12280/50000 || Lr: 0.015520 || Task Loss: 0.1065 || KD Loss: 0.0355|| 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: 10:47:32 || Estimated Time: 1 day, 9:08:59
2023-07-12 02:37:43,631 semantic_segmentation INFO: Iters: 12290/50000 || Lr: 0.015516 || Task Loss: 0.1067 || KD Loss: 0.0297|| 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: 10:48:03 || Estimated Time: 1 day, 9:08:26
2023-07-12 02:38:14,602 semantic_segmentation INFO: Iters: 12300/50000 || Lr: 0.015512 || Task Loss: 0.1156 || KD Loss: 0.0292|| 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: 10:48:34 || Estimated Time: 1 day, 9:07:52
2023-07-12 02:38:45,512 semantic_segmentation INFO: Iters: 12310/50000 || Lr: 0.015509 || Task Loss: 0.1293 || KD Loss: 0.0310|| 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: 10:49:05 || Estimated Time: 1 day, 9:07:18
2023-07-12 02:39:16,463 semantic_segmentation INFO: Iters: 12320/50000 || Lr: 0.015505 || Task Loss: 0.1052 || KD Loss: 0.0316|| 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: 10:49:36 || Estimated Time: 1 day, 9:06:44
2023-07-12 02:39:47,425 semantic_segmentation INFO: Iters: 12330/50000 || Lr: 0.015501 || Task Loss: 0.1156 || KD Loss: 0.0344|| 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: 10:50:07 || Estimated Time: 1 day, 9:06:11
2023-07-12 02:40:18,346 semantic_segmentation INFO: Iters: 12340/50000 || Lr: 0.015497 || Task Loss: 0.1169 || KD Loss: 0.0305|| 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: 10:50:38 || Estimated Time: 1 day, 9:05:37
2023-07-12 02:40:49,316 semantic_segmentation INFO: Iters: 12350/50000 || Lr: 0.015494 || Task Loss: 0.1062 || KD Loss: 0.0338|| 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: 10:51:09 || Estimated Time: 1 day, 9:05:03
2023-07-12 02:41:20,246 semantic_segmentation INFO: Iters: 12360/50000 || Lr: 0.015490 || Task Loss: 0.1087 || KD Loss: 0.0299|| 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: 10:51:40 || Estimated Time: 1 day, 9:04:29
2023-07-12 02:41:51,239 semantic_segmentation INFO: Iters: 12370/50000 || Lr: 0.015486 || Task Loss: 0.1278 || KD Loss: 0.0312|| 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: 10:52:11 || Estimated Time: 1 day, 9:03:56
2023-07-12 02:42:22,198 semantic_segmentation INFO: Iters: 12380/50000 || Lr: 0.015483 || Task Loss: 0.0995 || KD Loss: 0.0317|| 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: 10:52:42 || Estimated Time: 1 day, 9:03:22
2023-07-12 02:42:53,185 semantic_segmentation INFO: Iters: 12390/50000 || Lr: 0.015479 || Task Loss: 0.1058 || KD Loss: 0.0326|| 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: 10:53:13 || Estimated Time: 1 day, 9:02:49
2023-07-12 02:43:24,159 semantic_segmentation INFO: Iters: 12400/50000 || Lr: 0.015475 || Task Loss: 0.1216 || KD Loss: 0.0291|| 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: 10:53:44 || Estimated Time: 1 day, 9:02:15
2023-07-12 02:43:55,134 semantic_segmentation INFO: Iters: 12410/50000 || Lr: 0.015472 || Task Loss: 0.1388 || KD Loss: 0.0323|| 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: 10:54:15 || Estimated Time: 1 day, 9:01:41
2023-07-12 02:44:26,130 semantic_segmentation INFO: Iters: 12420/50000 || Lr: 0.015468 || Task Loss: 0.1114 || KD Loss: 0.0334|| 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: 10:54:46 || Estimated Time: 1 day, 9:01:08
2023-07-12 02:44:57,089 semantic_segmentation INFO: Iters: 12430/50000 || Lr: 0.015464 || Task Loss: 0.1258 || KD Loss: 0.0347|| 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: 10:55:17 || Estimated Time: 1 day, 9:00:34
2023-07-12 02:45:28,069 semantic_segmentation INFO: Iters: 12440/50000 || Lr: 0.015460 || Task Loss: 0.1128 || KD Loss: 0.0311|| 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: 10:55:48 || Estimated Time: 1 day, 9:00:00
2023-07-12 02:45:59,041 semantic_segmentation INFO: Iters: 12450/50000 || Lr: 0.015457 || Task Loss: 0.1050 || KD Loss: 0.0348|| 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: 10:56:19 || Estimated Time: 1 day, 8:59:27
2023-07-12 02:46:29,996 semantic_segmentation INFO: Iters: 12460/50000 || Lr: 0.015453 || Task Loss: 0.1003 || KD Loss: 0.0374|| 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: 10:56:50 || Estimated Time: 1 day, 8:58:53
2023-07-12 02:47:00,960 semantic_segmentation INFO: Iters: 12470/50000 || Lr: 0.015449 || Task Loss: 0.1146 || KD Loss: 0.0314|| 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: 10:57:21 || Estimated Time: 1 day, 8:58:20
2023-07-12 02:47:31,921 semantic_segmentation INFO: Iters: 12480/50000 || Lr: 0.015446 || Task Loss: 0.1173 || KD Loss: 0.0320|| 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: 10:57:52 || Estimated Time: 1 day, 8:57:46
2023-07-12 02:48:02,879 semantic_segmentation INFO: Iters: 12490/50000 || Lr: 0.015442 || Task Loss: 0.1077 || 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: 10:58:23 || Estimated Time: 1 day, 8:57:12
2023-07-12 02:48:33,862 semantic_segmentation INFO: Iters: 12500/50000 || Lr: 0.015438 || Task Loss: 0.1229 || 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: 10:58:54 || Estimated Time: 1 day, 8:56:39
2023-07-12 02:49:04,789 semantic_segmentation INFO: Iters: 12510/50000 || Lr: 0.015434 || Task Loss: 0.1314 || KD Loss: 0.0427|| 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: 10:59:25 || Estimated Time: 1 day, 8:56:05
2023-07-12 02:49:35,711 semantic_segmentation INFO: Iters: 12520/50000 || Lr: 0.015431 || Task Loss: 0.1023 || 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: 10:59:55 || Estimated Time: 1 day, 8:55:31
2023-07-12 02:50:06,672 semantic_segmentation INFO: Iters: 12530/50000 || Lr: 0.015427 || Task Loss: 0.1350 || KD Loss: 0.0360|| 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: 11:00:26 || Estimated Time: 1 day, 8:54:58
2023-07-12 02:50:37,616 semantic_segmentation INFO: Iters: 12540/50000 || Lr: 0.015423 || Task Loss: 0.1195 || KD Loss: 0.0335|| 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: 11:00:57 || Estimated Time: 1 day, 8:54:24
2023-07-12 02:51:08,546 semantic_segmentation INFO: Iters: 12550/50000 || Lr: 0.015420 || Task Loss: 0.0975 || KD Loss: 0.0318|| 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: 11:01:28 || Estimated Time: 1 day, 8:53:50
2023-07-12 02:51:39,484 semantic_segmentation INFO: Iters: 12560/50000 || Lr: 0.015416 || Task Loss: 0.1176 || 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: 11:01:59 || Estimated Time: 1 day, 8:53:17
2023-07-12 02:52:10,385 semantic_segmentation INFO: Iters: 12570/50000 || Lr: 0.015412 || Task Loss: 0.1056 || KD Loss: 0.0327|| 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: 11:02:30 || Estimated Time: 1 day, 8:52:43
2023-07-12 02:52:41,371 semantic_segmentation INFO: Iters: 12580/50000 || Lr: 0.015409 || Task Loss: 0.1171 || KD Loss: 0.0319|| 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: 11:03:01 || Estimated Time: 1 day, 8:52:09
2023-07-12 02:53:12,311 semantic_segmentation INFO: Iters: 12590/50000 || Lr: 0.015405 || Task Loss: 0.1134 || KD Loss: 0.0308|| 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: 11:03:32 || Estimated Time: 1 day, 8:51:36
2023-07-12 02:53:43,269 semantic_segmentation INFO: Iters: 12600/50000 || Lr: 0.015401 || Task Loss: 0.1127 || KD Loss: 0.0349|| 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: 11:04:03 || Estimated Time: 1 day, 8:51:02
2023-07-12 02:54:14,189 semantic_segmentation INFO: Iters: 12610/50000 || Lr: 0.015397 || Task Loss: 0.1043 || KD Loss: 0.0313|| 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: 11:04:34 || Estimated Time: 1 day, 8:50:28
2023-07-12 02:54:45,145 semantic_segmentation INFO: Iters: 12620/50000 || Lr: 0.015394 || Task Loss: 0.1104 || KD Loss: 0.0372|| 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: 11:05:05 || Estimated Time: 1 day, 8:49:55
2023-07-12 02:55:16,092 semantic_segmentation INFO: Iters: 12630/50000 || Lr: 0.015390 || Task Loss: 0.1228 || 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: 11:05:36 || Estimated Time: 1 day, 8:49:21
2023-07-12 02:55:47,086 semantic_segmentation INFO: Iters: 12640/50000 || Lr: 0.015386 || Task Loss: 0.1298 || KD Loss: 0.0379|| 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: 11:06:07 || Estimated Time: 1 day, 8:48:48
2023-07-12 02:56:18,047 semantic_segmentation INFO: Iters: 12650/50000 || Lr: 0.015383 || Task Loss: 0.1307 || KD Loss: 0.0298|| 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: 11:06:38 || Estimated Time: 1 day, 8:48:14
2023-07-12 02:56:49,010 semantic_segmentation INFO: Iters: 12660/50000 || Lr: 0.015379 || Task Loss: 0.1090 || KD Loss: 0.0338|| 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: 11:07:09 || Estimated Time: 1 day, 8:47:41
2023-07-12 02:57:19,997 semantic_segmentation INFO: Iters: 12670/50000 || Lr: 0.015375 || Task Loss: 0.1170 || KD Loss: 0.0338|| 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: 11:07:40 || Estimated Time: 1 day, 8:47:07
2023-07-12 02:57:50,923 semantic_segmentation INFO: Iters: 12680/50000 || Lr: 0.015371 || Task Loss: 0.0999 || KD Loss: 0.0361|| 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: 11:08:11 || Estimated Time: 1 day, 8:46:34
2023-07-12 02:58:21,910 semantic_segmentation INFO: Iters: 12690/50000 || Lr: 0.015368 || Task Loss: 0.1070 || KD Loss: 0.0373|| 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: 11:08:42 || Estimated Time: 1 day, 8:46:00
2023-07-12 02:58:52,868 semantic_segmentation INFO: Iters: 12700/50000 || Lr: 0.015364 || Task Loss: 0.1236 || KD Loss: 0.0335|| 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: 11:09:13 || Estimated Time: 1 day, 8:45:27
2023-07-12 02:59:23,839 semantic_segmentation INFO: Iters: 12710/50000 || Lr: 0.015360 || Task Loss: 0.1273 || KD Loss: 0.0315|| 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: 11:09:44 || Estimated Time: 1 day, 8:44:53
2023-07-12 02:59:54,807 semantic_segmentation INFO: Iters: 12720/50000 || Lr: 0.015357 || Task Loss: 0.1151 || 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: 11:10:15 || Estimated Time: 1 day, 8:44:19
2023-07-12 03:00:25,767 semantic_segmentation INFO: Iters: 12730/50000 || Lr: 0.015353 || Task Loss: 0.1154 || KD Loss: 0.0344|| 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: 11:10:46 || Estimated Time: 1 day, 8:43:46
2023-07-12 03:00:56,708 semantic_segmentation INFO: Iters: 12740/50000 || Lr: 0.015349 || Task Loss: 0.0996 || KD Loss: 0.0359|| 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: 11:11:16 || Estimated Time: 1 day, 8:43:12
2023-07-12 03:01:27,707 semantic_segmentation INFO: Iters: 12750/50000 || Lr: 0.015346 || Task Loss: 0.1075 || KD Loss: 0.0333|| 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: 11:11:47 || Estimated Time: 1 day, 8:42:39
2023-07-12 03:01:58,645 semantic_segmentation INFO: Iters: 12760/50000 || Lr: 0.015342 || Task Loss: 0.1048 || KD Loss: 0.0336|| 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: 11:12:18 || Estimated Time: 1 day, 8:42:05
2023-07-12 03:02:29,611 semantic_segmentation INFO: Iters: 12770/50000 || Lr: 0.015338 || Task Loss: 0.1027 || KD Loss: 0.0322|| 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: 11:12:49 || Estimated Time: 1 day, 8:41:32
2023-07-12 03:03:00,579 semantic_segmentation INFO: Iters: 12780/50000 || Lr: 0.015334 || Task Loss: 0.1060 || 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: 11:13:20 || Estimated Time: 1 day, 8:40:58
2023-07-12 03:03:31,482 semantic_segmentation INFO: Iters: 12790/50000 || Lr: 0.015331 || Task Loss: 0.1005 || KD Loss: 0.0307|| 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: 11:13:51 || Estimated Time: 1 day, 8:40:25
2023-07-12 03:04:02,437 semantic_segmentation INFO: Iters: 12800/50000 || Lr: 0.015327 || Task Loss: 0.1152 || KD Loss: 0.0335|| 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: 11:14:22 || Estimated Time: 1 day, 8:39:51
2023-07-12 03:04:02,523 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 03:04:02,715 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.731
2023-07-12 03:04:02,728 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 03:04:02,740 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 03:04:02,752 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.727
2023-07-12 03:04:02,764 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.723
2023-07-12 03:04:02,776 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 03:04:02,788 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.724
2023-07-12 03:04:02,800 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 03:04:02,813 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.722
2023-07-12 03:04:02,825 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.722
2023-07-12 03:04:02,837 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.722
2023-07-12 03:04:02,849 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.721
2023-07-12 03:04:02,861 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.724
2023-07-12 03:04:02,873 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.727
2023-07-12 03:04:02,885 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.728
2023-07-12 03:04:02,897 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.731
2023-07-12 03:04:02,911 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 03:04:02,924 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 03:04:02,936 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 03:04:02,948 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 03:04:02,960 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 03:04:02,972 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.731
2023-07-12 03:04:02,984 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.731
2023-07-12 03:04:02,996 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 03:04:03,009 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.731
2023-07-12 03:04:03,022 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 03:04:03,034 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.731
2023-07-12 03:04:03,046 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 03:04:03,059 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 03:04:03,072 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 03:04:03,085 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 03:04:03,098 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 03:04:03,111 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 03:04:03,123 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 03:04:03,136 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 03:04:03,149 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.734
2023-07-12 03:04:03,162 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 03:04:03,175 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 03:04:03,187 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 03:04:03,200 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.735
2023-07-12 03:04:03,213 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 03:04:03,226 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 03:04:03,239 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 03:04:03,251 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 03:04:03,263 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 03:04:03,275 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 03:04:03,287 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 03:04:03,299 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 03:04:03,311 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 03:04:03,323 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 03:04:03,335 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 03:04:03,347 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 03:04:03,359 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 03:04:03,371 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 03:04:03,383 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 03:04:03,395 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 03:04:03,407 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 03:04:03,419 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 03:04:03,431 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 03:04:03,443 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 03:04:03,455 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 03:04:03,467 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-12 03:04:03,479 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 03:04:03,491 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 03:04:03,504 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.756
2023-07-12 03:04:03,516 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.756
2023-07-12 03:04:03,528 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.757
2023-07-12 03:04:03,540 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.758
2023-07-12 03:04:03,552 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.759
2023-07-12 03:04:03,565 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 03:04:03,577 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 03:04:03,589 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 03:04:03,601 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 03:04:03,613 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 03:04:03,626 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 03:04:03,638 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 03:04:03,650 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 03:04:03,662 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 03:04:03,675 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 03:04:03,688 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 03:04:03,701 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 03:04:03,714 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 03:04:03,727 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 03:04:03,740 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 03:04:03,752 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 03:04:03,765 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 03:04:03,777 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 03:04:03,790 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 03:04:03,802 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 03:04:03,815 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 03:04:03,827 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 03:04:03,840 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 03:04:03,852 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 03:04:03,864 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 03:04:03,876 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 03:04:03,888 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 03:04:03,899 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 03:04:03,911 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 03:04:03,924 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 03:04:03,936 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 03:04:03,948 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 03:04:35,153 semantic_segmentation INFO: Iters: 12810/50000 || Lr: 0.015323 || Task Loss: 0.1150 || KD Loss: 0.0320|| 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: 11:14:55 || Estimated Time: 1 day, 8:39:23
2023-07-12 03:05:06,079 semantic_segmentation INFO: Iters: 12820/50000 || Lr: 0.015320 || Task Loss: 0.0843 || KD Loss: 0.0259|| 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: 11:15:26 || Estimated Time: 1 day, 8:38:49
2023-07-12 03:05:36,992 semantic_segmentation INFO: Iters: 12830/50000 || Lr: 0.015316 || Task Loss: 0.1183 || KD Loss: 0.0325|| 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: 11:15:57 || Estimated Time: 1 day, 8:38:16
2023-07-12 03:06:07,923 semantic_segmentation INFO: Iters: 12840/50000 || Lr: 0.015312 || Task Loss: 0.1161 || KD Loss: 0.0345|| 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: 11:16:28 || Estimated Time: 1 day, 8:37:42
2023-07-12 03:06:38,821 semantic_segmentation INFO: Iters: 12850/50000 || Lr: 0.015308 || Task Loss: 0.1142 || KD Loss: 0.0284|| 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: 11:16:59 || Estimated Time: 1 day, 8:37:08
2023-07-12 03:07:09,777 semantic_segmentation INFO: Iters: 12860/50000 || Lr: 0.015305 || Task Loss: 0.1225 || KD Loss: 0.0341|| 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: 11:17:30 || Estimated Time: 1 day, 8:36:35
2023-07-12 03:07:40,685 semantic_segmentation INFO: Iters: 12870/50000 || Lr: 0.015301 || Task Loss: 0.1082 || 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: 11:18:00 || Estimated Time: 1 day, 8:36:01
2023-07-12 03:08:11,598 semantic_segmentation INFO: Iters: 12880/50000 || Lr: 0.015297 || Task Loss: 0.1107 || KD Loss: 0.0296|| 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: 11:18:31 || Estimated Time: 1 day, 8:35:28
2023-07-12 03:08:42,506 semantic_segmentation INFO: Iters: 12890/50000 || Lr: 0.015294 || Task Loss: 0.1052 || 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: 11:19:02 || Estimated Time: 1 day, 8:34:54
2023-07-12 03:09:13,418 semantic_segmentation INFO: Iters: 12900/50000 || Lr: 0.015290 || Task Loss: 0.1054 || KD Loss: 0.0327|| 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: 11:19:33 || Estimated Time: 1 day, 8:34:20
2023-07-12 03:09:44,328 semantic_segmentation INFO: Iters: 12910/50000 || Lr: 0.015286 || Task Loss: 0.1145 || KD Loss: 0.0325|| 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: 11:20:04 || Estimated Time: 1 day, 8:33:47
2023-07-12 03:10:15,247 semantic_segmentation INFO: Iters: 12920/50000 || Lr: 0.015282 || Task Loss: 0.1108 || KD Loss: 0.0346|| 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: 11:20:35 || Estimated Time: 1 day, 8:33:13
2023-07-12 03:10:46,161 semantic_segmentation INFO: Iters: 12930/50000 || Lr: 0.015279 || Task Loss: 0.1172 || KD Loss: 0.0300|| 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: 11:21:06 || Estimated Time: 1 day, 8:32:40
2023-07-12 03:11:17,085 semantic_segmentation INFO: Iters: 12940/50000 || Lr: 0.015275 || Task Loss: 0.1322 || KD Loss: 0.0351|| 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: 11:21:37 || Estimated Time: 1 day, 8:32:06
2023-07-12 03:11:48,034 semantic_segmentation INFO: Iters: 12950/50000 || Lr: 0.015271 || Task Loss: 0.1113 || KD Loss: 0.0322|| 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: 11:22:08 || Estimated Time: 1 day, 8:31:33
2023-07-12 03:12:18,962 semantic_segmentation INFO: Iters: 12960/50000 || Lr: 0.015268 || Task Loss: 0.1128 || KD Loss: 0.0411|| 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: 11:22:39 || Estimated Time: 1 day, 8:30:59
2023-07-12 03:12:49,899 semantic_segmentation INFO: Iters: 12970/50000 || Lr: 0.015264 || Task Loss: 0.1127 || KD Loss: 0.0308|| 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: 11:23:10 || Estimated Time: 1 day, 8:30:26
2023-07-12 03:13:20,837 semantic_segmentation INFO: Iters: 12980/50000 || Lr: 0.015260 || Task Loss: 0.1175 || KD Loss: 0.0299|| 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: 11:23:41 || Estimated Time: 1 day, 8:29:52
2023-07-12 03:13:51,753 semantic_segmentation INFO: Iters: 12990/50000 || Lr: 0.015256 || Task Loss: 0.1029 || KD Loss: 0.0318|| 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: 11:24:12 || Estimated Time: 1 day, 8:29:18
2023-07-12 03:14:22,726 semantic_segmentation INFO: Iters: 13000/50000 || Lr: 0.015253 || Task Loss: 0.1028 || KD Loss: 0.0289|| 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: 11:24:42 || Estimated Time: 1 day, 8:28:45
2023-07-12 03:14:53,687 semantic_segmentation INFO: Iters: 13010/50000 || Lr: 0.015249 || Task Loss: 0.1019 || KD Loss: 0.0353|| 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: 11:25:13 || Estimated Time: 1 day, 8:28:12
2023-07-12 03:15:24,618 semantic_segmentation INFO: Iters: 13020/50000 || Lr: 0.015245 || Task Loss: 0.1029 || KD Loss: 0.0320|| 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: 11:25:44 || Estimated Time: 1 day, 8:27:38
2023-07-12 03:15:55,566 semantic_segmentation INFO: Iters: 13030/50000 || Lr: 0.015242 || Task Loss: 0.1057 || KD Loss: 0.0296|| 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: 11:26:15 || Estimated Time: 1 day, 8:27:05
2023-07-12 03:16:26,499 semantic_segmentation INFO: Iters: 13040/50000 || Lr: 0.015238 || Task Loss: 0.1112 || KD Loss: 0.0293|| 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: 11:26:46 || Estimated Time: 1 day, 8:26:31
2023-07-12 03:16:57,460 semantic_segmentation INFO: Iters: 13050/50000 || Lr: 0.015234 || Task Loss: 0.1062 || KD Loss: 0.0340|| 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: 11:27:17 || Estimated Time: 1 day, 8:25:58
2023-07-12 03:17:28,396 semantic_segmentation INFO: Iters: 13060/50000 || Lr: 0.015231 || Task Loss: 0.1161 || KD Loss: 0.0361|| 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: 11:27:48 || Estimated Time: 1 day, 8:25:24
2023-07-12 03:17:59,314 semantic_segmentation INFO: Iters: 13070/50000 || Lr: 0.015227 || Task Loss: 0.1225 || KD Loss: 0.0319|| 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: 11:28:19 || Estimated Time: 1 day, 8:24:51
2023-07-12 03:18:30,215 semantic_segmentation INFO: Iters: 13080/50000 || Lr: 0.015223 || Task Loss: 0.1274 || KD Loss: 0.0293|| 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: 11:28:50 || Estimated Time: 1 day, 8:24:17
2023-07-12 03:19:01,088 semantic_segmentation INFO: Iters: 13090/50000 || Lr: 0.015219 || Task Loss: 0.1126 || KD Loss: 0.0327|| 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: 11:29:21 || Estimated Time: 1 day, 8:23:44
2023-07-12 03:19:31,962 semantic_segmentation INFO: Iters: 13100/50000 || Lr: 0.015216 || Task Loss: 0.1028 || KD Loss: 0.0336|| 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: 11:29:52 || Estimated Time: 1 day, 8:23:10
2023-07-12 03:20:02,909 semantic_segmentation INFO: Iters: 13110/50000 || Lr: 0.015212 || Task Loss: 0.1116 || KD Loss: 0.0291|| 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: 11:30:23 || Estimated Time: 1 day, 8:22:37
2023-07-12 03:20:33,800 semantic_segmentation INFO: Iters: 13120/50000 || Lr: 0.015208 || Task Loss: 0.1122 || KD Loss: 0.0317|| 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: 11:30:54 || Estimated Time: 1 day, 8:22:03
2023-07-12 03:21:04,734 semantic_segmentation INFO: Iters: 13130/50000 || Lr: 0.015205 || Task Loss: 0.1032 || KD Loss: 0.0321|| 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: 11:31:24 || Estimated Time: 1 day, 8:21:29
2023-07-12 03:21:35,642 semantic_segmentation INFO: Iters: 13140/50000 || Lr: 0.015201 || Task Loss: 0.1075 || KD Loss: 0.0299|| 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: 11:31:55 || Estimated Time: 1 day, 8:20:56
2023-07-12 03:22:06,546 semantic_segmentation INFO: Iters: 13150/50000 || Lr: 0.015197 || Task Loss: 0.0902 || KD Loss: 0.0298|| 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: 11:32:26 || Estimated Time: 1 day, 8:20:22
2023-07-12 03:22:37,443 semantic_segmentation INFO: Iters: 13160/50000 || Lr: 0.015193 || Task Loss: 0.1136 || KD Loss: 0.0304|| 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: 11:32:57 || Estimated Time: 1 day, 8:19:49
2023-07-12 03:23:08,344 semantic_segmentation INFO: Iters: 13170/50000 || Lr: 0.015190 || Task Loss: 0.1032 || KD Loss: 0.0295|| 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: 11:33:28 || Estimated Time: 1 day, 8:19:15
2023-07-12 03:23:39,239 semantic_segmentation INFO: Iters: 13180/50000 || Lr: 0.015186 || Task Loss: 0.1312 || KD Loss: 0.0310|| 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: 11:33:59 || Estimated Time: 1 day, 8:18:42
2023-07-12 03:24:10,138 semantic_segmentation INFO: Iters: 13190/50000 || Lr: 0.015182 || Task Loss: 0.1118 || KD Loss: 0.0319|| 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: 11:34:30 || Estimated Time: 1 day, 8:18:08
2023-07-12 03:24:41,059 semantic_segmentation INFO: Iters: 13200/50000 || Lr: 0.015179 || Task Loss: 0.1007 || KD Loss: 0.0336|| 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: 11:35:01 || Estimated Time: 1 day, 8:17:35
2023-07-12 03:25:11,964 semantic_segmentation INFO: Iters: 13210/50000 || Lr: 0.015175 || Task Loss: 0.1199 || 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: 11:35:32 || Estimated Time: 1 day, 8:17:01
2023-07-12 03:25:42,895 semantic_segmentation INFO: Iters: 13220/50000 || Lr: 0.015171 || Task Loss: 0.1097 || KD Loss: 0.0324|| 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: 11:36:03 || Estimated Time: 1 day, 8:16:28
2023-07-12 03:26:13,847 semantic_segmentation INFO: Iters: 13230/50000 || Lr: 0.015167 || Task Loss: 0.1028 || KD Loss: 0.0326|| 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: 11:36:34 || Estimated Time: 1 day, 8:15:55
2023-07-12 03:26:44,763 semantic_segmentation INFO: Iters: 13240/50000 || Lr: 0.015164 || Task Loss: 0.1192 || KD Loss: 0.0302|| 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: 11:37:05 || Estimated Time: 1 day, 8:15:21
2023-07-12 03:27:15,700 semantic_segmentation INFO: Iters: 13250/50000 || Lr: 0.015160 || Task Loss: 0.1108 || KD Loss: 0.0318|| 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: 11:37:35 || Estimated Time: 1 day, 8:14:48
2023-07-12 03:27:46,600 semantic_segmentation INFO: Iters: 13260/50000 || Lr: 0.015156 || Task Loss: 0.1229 || KD Loss: 0.0329|| 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: 11:38:06 || Estimated Time: 1 day, 8:14:14
2023-07-12 03:28:17,509 semantic_segmentation INFO: Iters: 13270/50000 || Lr: 0.015153 || Task Loss: 0.1032 || KD Loss: 0.0295|| 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: 11:38:37 || Estimated Time: 1 day, 8:13:41
2023-07-12 03:28:48,468 semantic_segmentation INFO: Iters: 13280/50000 || Lr: 0.015149 || Task Loss: 0.1300 || KD Loss: 0.0361|| 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: 11:39:08 || Estimated Time: 1 day, 8:13:07
2023-07-12 03:29:19,437 semantic_segmentation INFO: Iters: 13290/50000 || Lr: 0.015145 || Task Loss: 0.1030 || KD Loss: 0.0284|| 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: 11:39:39 || Estimated Time: 1 day, 8:12:34
2023-07-12 03:29:50,403 semantic_segmentation INFO: Iters: 13300/50000 || Lr: 0.015141 || Task Loss: 0.1018 || KD Loss: 0.0398|| 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: 11:40:10 || Estimated Time: 1 day, 8:12:01
2023-07-12 03:30:21,326 semantic_segmentation INFO: Iters: 13310/50000 || Lr: 0.015138 || Task Loss: 0.0988 || KD Loss: 0.0289|| 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: 11:40:41 || Estimated Time: 1 day, 8:11:27
2023-07-12 03:30:52,234 semantic_segmentation INFO: Iters: 13320/50000 || Lr: 0.015134 || Task Loss: 0.1223 || KD Loss: 0.0327|| 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: 11:41:12 || Estimated Time: 1 day, 8:10:54
2023-07-12 03:31:23,161 semantic_segmentation INFO: Iters: 13330/50000 || Lr: 0.015130 || Task Loss: 0.1086 || KD Loss: 0.0292|| 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: 11:41:43 || Estimated Time: 1 day, 8:10:21
2023-07-12 03:31:54,072 semantic_segmentation INFO: Iters: 13340/50000 || Lr: 0.015127 || Task Loss: 0.1132 || KD Loss: 0.0332|| 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: 11:42:14 || Estimated Time: 1 day, 8:09:47
2023-07-12 03:32:25,010 semantic_segmentation INFO: Iters: 13350/50000 || Lr: 0.015123 || Task Loss: 0.1112 || KD Loss: 0.0318|| 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: 11:42:45 || Estimated Time: 1 day, 8:09:14
2023-07-12 03:32:55,920 semantic_segmentation INFO: Iters: 13360/50000 || Lr: 0.015119 || Task Loss: 0.1194 || KD Loss: 0.0305|| 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: 11:43:16 || Estimated Time: 1 day, 8:08:40
2023-07-12 03:33:26,788 semantic_segmentation INFO: Iters: 13370/50000 || Lr: 0.015115 || Task Loss: 0.1036 || KD Loss: 0.0295|| 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: 11:43:47 || Estimated Time: 1 day, 8:08:07
2023-07-12 03:33:57,649 semantic_segmentation INFO: Iters: 13380/50000 || Lr: 0.015112 || Task Loss: 0.1029 || KD Loss: 0.0275|| 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: 11:44:17 || Estimated Time: 1 day, 8:07:33
2023-07-12 03:34:28,497 semantic_segmentation INFO: Iters: 13390/50000 || Lr: 0.015108 || Task Loss: 0.1279 || 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: 11:44:48 || Estimated Time: 1 day, 8:07:00
2023-07-12 03:34:59,385 semantic_segmentation INFO: Iters: 13400/50000 || Lr: 0.015104 || Task Loss: 0.1039 || KD Loss: 0.0295|| 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: 11:45:19 || Estimated Time: 1 day, 8:06:26
2023-07-12 03:35:30,281 semantic_segmentation INFO: Iters: 13410/50000 || Lr: 0.015101 || Task Loss: 0.1046 || KD Loss: 0.0310|| 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: 11:45:50 || Estimated Time: 1 day, 8:05:53
2023-07-12 03:36:01,151 semantic_segmentation INFO: Iters: 13420/50000 || Lr: 0.015097 || Task Loss: 0.1051 || KD Loss: 0.0308|| 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: 11:46:21 || Estimated Time: 1 day, 8:05:19
2023-07-12 03:36:32,033 semantic_segmentation INFO: Iters: 13430/50000 || Lr: 0.015093 || Task Loss: 0.1020 || KD Loss: 0.0297|| 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: 11:46:52 || Estimated Time: 1 day, 8:04:46
2023-07-12 03:37:02,936 semantic_segmentation INFO: Iters: 13440/50000 || Lr: 0.015089 || Task Loss: 0.1157 || 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: 11:47:23 || Estimated Time: 1 day, 8:04:12
2023-07-12 03:37:33,804 semantic_segmentation INFO: Iters: 13450/50000 || Lr: 0.015086 || Task Loss: 0.1110 || KD Loss: 0.0298|| 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: 11:47:54 || Estimated Time: 1 day, 8:03:39
2023-07-12 03:38:04,686 semantic_segmentation INFO: Iters: 13460/50000 || Lr: 0.015082 || Task Loss: 0.1162 || KD Loss: 0.0318|| 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: 11:48:24 || Estimated Time: 1 day, 8:03:05
2023-07-12 03:38:35,595 semantic_segmentation INFO: Iters: 13470/50000 || Lr: 0.015078 || Task Loss: 0.1055 || KD Loss: 0.0282|| 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: 11:48:55 || Estimated Time: 1 day, 8:02:32
2023-07-12 03:39:06,491 semantic_segmentation INFO: Iters: 13480/50000 || Lr: 0.015075 || Task Loss: 0.1274 || 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: 11:49:26 || Estimated Time: 1 day, 8:01:58
2023-07-12 03:39:37,432 semantic_segmentation INFO: Iters: 13490/50000 || Lr: 0.015071 || Task Loss: 0.1118 || KD Loss: 0.0271|| 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: 11:49:57 || Estimated Time: 1 day, 8:01:25
2023-07-12 03:40:08,332 semantic_segmentation INFO: Iters: 13500/50000 || Lr: 0.015067 || Task Loss: 0.1236 || KD Loss: 0.0340|| 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: 11:50:28 || Estimated Time: 1 day, 8:00:52
2023-07-12 03:40:39,216 semantic_segmentation INFO: Iters: 13510/50000 || Lr: 0.015063 || Task Loss: 0.1173 || KD Loss: 0.0331|| 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: 11:50:59 || Estimated Time: 1 day, 8:00:18
2023-07-12 03:41:10,107 semantic_segmentation INFO: Iters: 13520/50000 || Lr: 0.015060 || Task Loss: 0.1119 || KD Loss: 0.0361|| 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: 11:51:30 || Estimated Time: 1 day, 7:59:45
2023-07-12 03:41:41,009 semantic_segmentation INFO: Iters: 13530/50000 || Lr: 0.015056 || Task Loss: 0.1149 || KD Loss: 0.0309|| 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: 11:52:01 || Estimated Time: 1 day, 7:59:12
2023-07-12 03:42:11,933 semantic_segmentation INFO: Iters: 13540/50000 || Lr: 0.015052 || Task Loss: 0.1204 || KD Loss: 0.0304|| 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: 11:52:32 || Estimated Time: 1 day, 7:58:38
2023-07-12 03:42:42,844 semantic_segmentation INFO: Iters: 13550/50000 || Lr: 0.015049 || Task Loss: 0.1233 || KD Loss: 0.0321|| 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: 11:53:03 || Estimated Time: 1 day, 7:58:05
2023-07-12 03:43:13,779 semantic_segmentation INFO: Iters: 13560/50000 || Lr: 0.015045 || Task Loss: 0.1058 || KD Loss: 0.0265|| 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: 11:53:34 || Estimated Time: 1 day, 7:57:32
2023-07-12 03:43:44,671 semantic_segmentation INFO: Iters: 13570/50000 || Lr: 0.015041 || Task Loss: 0.1265 || KD Loss: 0.0280|| 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: 11:54:04 || Estimated Time: 1 day, 7:56:58
2023-07-12 03:44:15,604 semantic_segmentation INFO: Iters: 13580/50000 || Lr: 0.015037 || Task Loss: 0.0952 || KD Loss: 0.0291|| 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: 11:54:35 || Estimated Time: 1 day, 7:56:25
2023-07-12 03:44:46,488 semantic_segmentation INFO: Iters: 13590/50000 || Lr: 0.015034 || Task Loss: 0.0959 || KD Loss: 0.0369|| 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: 11:55:06 || Estimated Time: 1 day, 7:55:51
2023-07-12 03:45:17,428 semantic_segmentation INFO: Iters: 13600/50000 || Lr: 0.015030 || Task Loss: 0.1039 || KD Loss: 0.0310|| 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: 11:55:37 || Estimated Time: 1 day, 7:55:18
2023-07-12 03:45:17,521 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 03:45:17,713 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-12 03:45:17,727 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 03:45:17,739 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.735
2023-07-12 03:45:17,751 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.729
2023-07-12 03:45:17,763 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.725
2023-07-12 03:45:17,775 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 03:45:17,787 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.726
2023-07-12 03:45:17,799 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.960, mIoU: 0.726
2023-07-12 03:45:17,811 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.724
2023-07-12 03:45:17,823 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.724
2023-07-12 03:45:17,835 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.725
2023-07-12 03:45:17,847 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.724
2023-07-12 03:45:17,859 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.728
2023-07-12 03:45:17,871 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.730
2023-07-12 03:45:17,883 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 03:45:17,895 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 03:45:17,908 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 03:45:17,920 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 03:45:17,932 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 03:45:17,944 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 03:45:17,956 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 03:45:17,968 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 03:45:17,980 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 03:45:17,992 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 03:45:18,005 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 03:45:18,017 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 03:45:18,030 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 03:45:18,042 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 03:45:18,055 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 03:45:18,067 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 03:45:18,080 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 03:45:18,092 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 03:45:18,105 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 03:45:18,117 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 03:45:18,129 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 03:45:18,142 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 03:45:18,154 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 03:45:18,167 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 03:45:18,179 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 03:45:18,192 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 03:45:18,204 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 03:45:18,216 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 03:45:18,229 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 03:45:18,241 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 03:45:18,253 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.745
2023-07-12 03:45:18,266 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 03:45:18,278 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.955, mIoU: 0.747
2023-07-12 03:45:18,290 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 03:45:18,303 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 03:45:18,315 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 03:45:18,327 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 03:45:18,340 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 03:45:18,352 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 03:45:18,364 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 03:45:18,376 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 03:45:18,389 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 03:45:18,401 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 03:45:18,414 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 03:45:18,426 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 03:45:18,439 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 03:45:18,452 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-12 03:45:18,464 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-12 03:45:18,477 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.951, mIoU: 0.758
2023-07-12 03:45:18,490 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.951, mIoU: 0.758
2023-07-12 03:45:18,502 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-12 03:45:18,515 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.950, mIoU: 0.759
2023-07-12 03:45:18,528 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 03:45:18,540 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 03:45:18,553 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 03:45:18,566 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 03:45:18,579 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 03:45:18,591 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 03:45:18,603 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 03:45:18,615 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 03:45:18,627 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 03:45:18,639 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 03:45:18,652 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 03:45:18,664 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 03:45:18,677 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 03:45:18,689 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 03:45:18,701 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 03:45:18,713 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 03:45:18,725 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 03:45:18,737 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 03:45:18,748 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 03:45:18,760 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 03:45:18,772 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 03:45:18,784 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-12 03:45:18,795 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 03:45:18,807 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 03:45:18,819 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 03:45:18,831 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 03:45:18,843 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 03:45:18,855 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 03:45:18,867 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 03:45:18,879 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 03:45:18,891 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 03:45:18,903 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 03:45:18,915 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 03:45:18,927 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 03:45:18,939 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 03:45:50,252 semantic_segmentation INFO: Iters: 13610/50000 || Lr: 0.015026 || Task Loss: 0.1114 || KD Loss: 0.0325|| 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: 11:56:10 || Estimated Time: 1 day, 7:54:50
2023-07-12 03:46:21,170 semantic_segmentation INFO: Iters: 13620/50000 || Lr: 0.015023 || Task Loss: 0.1043 || KD Loss: 0.0263|| 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: 11:56:41 || Estimated Time: 1 day, 7:54:17
2023-07-12 03:46:52,080 semantic_segmentation INFO: Iters: 13630/50000 || Lr: 0.015019 || Task Loss: 0.1200 || KD Loss: 0.0315|| 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: 11:57:12 || Estimated Time: 1 day, 7:53:43
2023-07-12 03:47:22,960 semantic_segmentation INFO: Iters: 13640/50000 || Lr: 0.015015 || Task Loss: 0.1029 || KD Loss: 0.0289|| 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: 11:57:43 || Estimated Time: 1 day, 7:53:10
2023-07-12 03:47:53,876 semantic_segmentation INFO: Iters: 13650/50000 || Lr: 0.015011 || Task Loss: 0.1387 || KD Loss: 0.0370|| 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: 11:58:14 || Estimated Time: 1 day, 7:52:37
2023-07-12 03:48:24,783 semantic_segmentation INFO: Iters: 13660/50000 || Lr: 0.015008 || Task Loss: 0.0940 || KD Loss: 0.0309|| 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: 11:58:45 || Estimated Time: 1 day, 7:52:03
2023-07-12 03:48:55,659 semantic_segmentation INFO: Iters: 13670/50000 || Lr: 0.015004 || Task Loss: 0.1136 || KD Loss: 0.0360|| 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: 11:59:15 || Estimated Time: 1 day, 7:51:30
2023-07-12 03:49:26,563 semantic_segmentation INFO: Iters: 13680/50000 || Lr: 0.015000 || Task Loss: 0.1055 || 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: 11:59:46 || Estimated Time: 1 day, 7:50:56
2023-07-12 03:49:57,455 semantic_segmentation INFO: Iters: 13690/50000 || Lr: 0.014997 || Task Loss: 0.1091 || KD Loss: 0.0295|| 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: 12:00:17 || Estimated Time: 1 day, 7:50:23
2023-07-12 03:50:28,354 semantic_segmentation INFO: Iters: 13700/50000 || Lr: 0.014993 || Task Loss: 0.0882 || 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: 12:00:48 || Estimated Time: 1 day, 7:49:50
2023-07-12 03:50:59,240 semantic_segmentation INFO: Iters: 13710/50000 || Lr: 0.014989 || Task Loss: 0.1186 || 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: 12:01:19 || Estimated Time: 1 day, 7:49:16
2023-07-12 03:51:30,131 semantic_segmentation INFO: Iters: 13720/50000 || Lr: 0.014985 || Task Loss: 0.1057 || KD Loss: 0.0298|| 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: 12:01:50 || Estimated Time: 1 day, 7:48:43
2023-07-12 03:52:01,040 semantic_segmentation INFO: Iters: 13730/50000 || Lr: 0.014982 || Task Loss: 0.1034 || KD Loss: 0.0345|| 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: 12:02:21 || Estimated Time: 1 day, 7:48:10
2023-07-12 03:52:31,888 semantic_segmentation INFO: Iters: 13740/50000 || Lr: 0.014978 || Task Loss: 0.0998 || KD Loss: 0.0244|| 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: 12:02:52 || Estimated Time: 1 day, 7:47:36
2023-07-12 03:53:02,772 semantic_segmentation INFO: Iters: 13750/50000 || Lr: 0.014974 || Task Loss: 0.1083 || KD Loss: 0.0319|| 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: 12:03:23 || Estimated Time: 1 day, 7:47:03
2023-07-12 03:53:33,657 semantic_segmentation INFO: Iters: 13760/50000 || Lr: 0.014971 || Task Loss: 0.1096 || KD Loss: 0.0292|| 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: 12:03:53 || Estimated Time: 1 day, 7:46:30
2023-07-12 03:54:04,556 semantic_segmentation INFO: Iters: 13770/50000 || Lr: 0.014967 || Task Loss: 0.1054 || KD Loss: 0.0329|| 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: 12:04:24 || Estimated Time: 1 day, 7:45:56
2023-07-12 03:54:35,431 semantic_segmentation INFO: Iters: 13780/50000 || Lr: 0.014963 || Task Loss: 0.1090 || KD Loss: 0.0319|| 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: 12:04:55 || Estimated Time: 1 day, 7:45:23
2023-07-12 03:55:06,337 semantic_segmentation INFO: Iters: 13790/50000 || Lr: 0.014959 || Task Loss: 0.1099 || KD Loss: 0.0364|| 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: 12:05:26 || Estimated Time: 1 day, 7:44:50
2023-07-12 03:55:37,194 semantic_segmentation INFO: Iters: 13800/50000 || Lr: 0.014956 || Task Loss: 0.1232 || KD Loss: 0.0289|| 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: 12:05:57 || Estimated Time: 1 day, 7:44:16
2023-07-12 03:56:08,110 semantic_segmentation INFO: Iters: 13810/50000 || Lr: 0.014952 || Task Loss: 0.1226 || KD Loss: 0.0312|| 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: 12:06:28 || Estimated Time: 1 day, 7:43:43
2023-07-12 03:56:39,021 semantic_segmentation INFO: Iters: 13820/50000 || Lr: 0.014948 || Task Loss: 0.1009 || KD Loss: 0.0316|| 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: 12:06:59 || Estimated Time: 1 day, 7:43:10
2023-07-12 03:57:09,919 semantic_segmentation INFO: Iters: 13830/50000 || Lr: 0.014945 || Task Loss: 0.1252 || KD Loss: 0.0333|| 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: 12:07:30 || Estimated Time: 1 day, 7:42:36
2023-07-12 03:57:40,799 semantic_segmentation INFO: Iters: 13840/50000 || Lr: 0.014941 || Task Loss: 0.1084 || KD Loss: 0.0303|| 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: 12:08:01 || Estimated Time: 1 day, 7:42:03
2023-07-12 03:58:11,738 semantic_segmentation INFO: Iters: 13850/50000 || Lr: 0.014937 || Task Loss: 0.1008 || KD Loss: 0.0340|| 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: 12:08:31 || Estimated Time: 1 day, 7:41:30
2023-07-12 03:58:42,710 semantic_segmentation INFO: Iters: 13860/50000 || Lr: 0.014933 || Task Loss: 0.1203 || KD Loss: 0.0303|| 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: 12:09:02 || Estimated Time: 1 day, 7:40:57
2023-07-12 03:59:13,637 semantic_segmentation INFO: Iters: 13870/50000 || Lr: 0.014930 || Task Loss: 0.1009 || KD Loss: 0.0281|| 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: 12:09:33 || Estimated Time: 1 day, 7:40:24
2023-07-12 03:59:44,554 semantic_segmentation INFO: Iters: 13880/50000 || Lr: 0.014926 || Task Loss: 0.1081 || KD Loss: 0.0286|| 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: 12:10:04 || Estimated Time: 1 day, 7:39:50
2023-07-12 04:00:15,475 semantic_segmentation INFO: Iters: 13890/50000 || Lr: 0.014922 || Task Loss: 0.1149 || KD Loss: 0.0338|| 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: 12:10:35 || Estimated Time: 1 day, 7:39:17
2023-07-12 04:00:46,426 semantic_segmentation INFO: Iters: 13900/50000 || Lr: 0.014918 || Task Loss: 0.0997 || KD Loss: 0.0388|| 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: 12:11:06 || Estimated Time: 1 day, 7:38:44
2023-07-12 04:01:17,328 semantic_segmentation INFO: Iters: 13910/50000 || Lr: 0.014915 || Task Loss: 0.1071 || KD Loss: 0.0299|| 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: 12:11:37 || Estimated Time: 1 day, 7:38:11
2023-07-12 04:01:48,290 semantic_segmentation INFO: Iters: 13920/50000 || Lr: 0.014911 || Task Loss: 0.1077 || KD Loss: 0.0286|| 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: 12:12:08 || Estimated Time: 1 day, 7:37:38
2023-07-12 04:02:19,191 semantic_segmentation INFO: Iters: 13930/50000 || Lr: 0.014907 || Task Loss: 0.0920 || KD Loss: 0.0253|| 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: 12:12:39 || Estimated Time: 1 day, 7:37:04
2023-07-12 04:02:50,110 semantic_segmentation INFO: Iters: 13940/50000 || Lr: 0.014904 || Task Loss: 0.1187 || KD Loss: 0.0303|| 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: 12:13:10 || Estimated Time: 1 day, 7:36:31
2023-07-12 04:03:21,020 semantic_segmentation INFO: Iters: 13950/50000 || Lr: 0.014900 || Task Loss: 0.1234 || KD Loss: 0.0338|| 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: 12:13:41 || Estimated Time: 1 day, 7:35:58
2023-07-12 04:03:51,924 semantic_segmentation INFO: Iters: 13960/50000 || Lr: 0.014896 || Task Loss: 0.1121 || KD Loss: 0.0347|| 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: 12:14:12 || Estimated Time: 1 day, 7:35:25
2023-07-12 04:04:22,819 semantic_segmentation INFO: Iters: 13970/50000 || Lr: 0.014892 || Task Loss: 0.1094 || KD Loss: 0.0343|| 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: 12:14:43 || Estimated Time: 1 day, 7:34:51
2023-07-12 04:04:53,672 semantic_segmentation INFO: Iters: 13980/50000 || Lr: 0.014889 || Task Loss: 0.1083 || KD Loss: 0.0300|| 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: 12:15:13 || Estimated Time: 1 day, 7:34:18
2023-07-12 04:05:24,534 semantic_segmentation INFO: Iters: 13990/50000 || Lr: 0.014885 || Task Loss: 0.1153 || KD Loss: 0.0293|| 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: 12:15:44 || Estimated Time: 1 day, 7:33:45
2023-07-12 04:05:55,444 semantic_segmentation INFO: Iters: 14000/50000 || Lr: 0.014881 || Task Loss: 0.1106 || KD Loss: 0.0415|| 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: 12:16:15 || Estimated Time: 1 day, 7:33:11
2023-07-12 04:06:26,312 semantic_segmentation INFO: Iters: 14010/50000 || Lr: 0.014878 || Task Loss: 0.1071 || KD Loss: 0.0305|| 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: 12:16:46 || Estimated Time: 1 day, 7:32:38
2023-07-12 04:06:57,227 semantic_segmentation INFO: Iters: 14020/50000 || Lr: 0.014874 || Task Loss: 0.0975 || KD Loss: 0.0322|| 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: 12:17:17 || Estimated Time: 1 day, 7:32:05
2023-07-12 04:07:28,142 semantic_segmentation INFO: Iters: 14030/50000 || Lr: 0.014870 || Task Loss: 0.1080 || KD Loss: 0.0270|| 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: 12:17:48 || Estimated Time: 1 day, 7:31:32
2023-07-12 04:07:59,032 semantic_segmentation INFO: Iters: 14040/50000 || Lr: 0.014866 || Task Loss: 0.0969 || 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: 12:18:19 || Estimated Time: 1 day, 7:30:59
2023-07-12 04:08:29,943 semantic_segmentation INFO: Iters: 14050/50000 || Lr: 0.014863 || Task Loss: 0.1154 || KD Loss: 0.0344|| 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: 12:18:50 || Estimated Time: 1 day, 7:30:25
2023-07-12 04:09:00,841 semantic_segmentation INFO: Iters: 14060/50000 || Lr: 0.014859 || Task Loss: 0.1107 || KD Loss: 0.0298|| 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: 12:19:21 || Estimated Time: 1 day, 7:29:52
2023-07-12 04:09:31,695 semantic_segmentation INFO: Iters: 14070/50000 || Lr: 0.014855 || Task Loss: 0.1051 || KD Loss: 0.0304|| 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: 12:19:51 || Estimated Time: 1 day, 7:29:19
2023-07-12 04:10:02,593 semantic_segmentation INFO: Iters: 14080/50000 || Lr: 0.014852 || Task Loss: 0.1249 || KD Loss: 0.0297|| 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: 12:20:22 || Estimated Time: 1 day, 7:28:46
2023-07-12 04:10:33,489 semantic_segmentation INFO: Iters: 14090/50000 || Lr: 0.014848 || Task Loss: 0.1084 || KD Loss: 0.0320|| 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: 12:20:53 || Estimated Time: 1 day, 7:28:12
2023-07-12 04:11:04,413 semantic_segmentation INFO: Iters: 14100/50000 || Lr: 0.014844 || Task Loss: 0.0934 || 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: 12:21:24 || Estimated Time: 1 day, 7:27:39
2023-07-12 04:11:35,328 semantic_segmentation INFO: Iters: 14110/50000 || Lr: 0.014840 || Task Loss: 0.1064 || KD Loss: 0.0280|| 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: 12:21:55 || Estimated Time: 1 day, 7:27:06
2023-07-12 04:12:06,227 semantic_segmentation INFO: Iters: 14120/50000 || Lr: 0.014837 || Task Loss: 0.1198 || KD Loss: 0.0323|| 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: 12:22:26 || Estimated Time: 1 day, 7:26:33
2023-07-12 04:12:37,152 semantic_segmentation INFO: Iters: 14130/50000 || Lr: 0.014833 || Task Loss: 0.0995 || KD Loss: 0.0293|| 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: 12:22:57 || Estimated Time: 1 day, 7:26:00
2023-07-12 04:13:08,044 semantic_segmentation INFO: Iters: 14140/50000 || Lr: 0.014829 || Task Loss: 0.1294 || KD Loss: 0.0330|| 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: 12:23:28 || Estimated Time: 1 day, 7:25:27
2023-07-12 04:13:38,922 semantic_segmentation INFO: Iters: 14150/50000 || Lr: 0.014825 || Task Loss: 0.0997 || KD Loss: 0.0286|| 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: 12:23:59 || Estimated Time: 1 day, 7:24:53
2023-07-12 04:14:09,898 semantic_segmentation INFO: Iters: 14160/50000 || Lr: 0.014822 || Task Loss: 0.0976 || KD Loss: 0.0293|| 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: 12:24:30 || Estimated Time: 1 day, 7:24:20
2023-07-12 04:14:40,777 semantic_segmentation INFO: Iters: 14170/50000 || Lr: 0.014818 || Task Loss: 0.1063 || KD Loss: 0.0338|| 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: 12:25:01 || Estimated Time: 1 day, 7:23:47
2023-07-12 04:15:11,677 semantic_segmentation INFO: Iters: 14180/50000 || Lr: 0.014814 || Task Loss: 0.0923 || KD Loss: 0.0318|| 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: 12:25:31 || Estimated Time: 1 day, 7:23:14
2023-07-12 04:15:42,581 semantic_segmentation INFO: Iters: 14190/50000 || Lr: 0.014811 || Task Loss: 0.1114 || KD Loss: 0.0307|| 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: 12:26:02 || Estimated Time: 1 day, 7:22:41
2023-07-12 04:16:13,471 semantic_segmentation INFO: Iters: 14200/50000 || Lr: 0.014807 || Task Loss: 0.1199 || KD Loss: 0.0297|| 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: 12:26:33 || Estimated Time: 1 day, 7:22:08
2023-07-12 04:16:44,377 semantic_segmentation INFO: Iters: 14210/50000 || Lr: 0.014803 || Task Loss: 0.1104 || KD Loss: 0.0325|| 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: 12:27:04 || Estimated Time: 1 day, 7:21:34
2023-07-12 04:17:15,296 semantic_segmentation INFO: Iters: 14220/50000 || Lr: 0.014799 || Task Loss: 0.1065 || KD Loss: 0.0306|| 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: 12:27:35 || Estimated Time: 1 day, 7:21:01
2023-07-12 04:17:46,184 semantic_segmentation INFO: Iters: 14230/50000 || Lr: 0.014796 || Task Loss: 0.1422 || KD Loss: 0.0355|| 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: 12:28:06 || Estimated Time: 1 day, 7:20:28
2023-07-12 04:18:17,061 semantic_segmentation INFO: Iters: 14240/50000 || Lr: 0.014792 || Task Loss: 0.1034 || KD Loss: 0.0262|| 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: 12:28:37 || Estimated Time: 1 day, 7:19:55
2023-07-12 04:18:47,952 semantic_segmentation INFO: Iters: 14250/50000 || Lr: 0.014788 || Task Loss: 0.1219 || KD Loss: 0.0326|| 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: 12:29:08 || Estimated Time: 1 day, 7:19:22
2023-07-12 04:19:18,845 semantic_segmentation INFO: Iters: 14260/50000 || Lr: 0.014785 || Task Loss: 0.1110 || KD Loss: 0.0306|| 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: 12:29:39 || Estimated Time: 1 day, 7:18:49
2023-07-12 04:19:49,712 semantic_segmentation INFO: Iters: 14270/50000 || Lr: 0.014781 || Task Loss: 0.1265 || KD Loss: 0.0340|| 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: 12:30:09 || Estimated Time: 1 day, 7:18:15
2023-07-12 04:20:20,614 semantic_segmentation INFO: Iters: 14280/50000 || Lr: 0.014777 || Task Loss: 0.1165 || KD Loss: 0.0343|| 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: 12:30:40 || Estimated Time: 1 day, 7:17:42
2023-07-12 04:20:51,507 semantic_segmentation INFO: Iters: 14290/50000 || Lr: 0.014773 || Task Loss: 0.1029 || KD Loss: 0.0370|| 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: 12:31:11 || Estimated Time: 1 day, 7:17:09
2023-07-12 04:21:22,424 semantic_segmentation INFO: Iters: 14300/50000 || Lr: 0.014770 || Task Loss: 0.1151 || KD Loss: 0.0278|| 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: 12:31:42 || Estimated Time: 1 day, 7:16:36
2023-07-12 04:21:53,323 semantic_segmentation INFO: Iters: 14310/50000 || Lr: 0.014766 || Task Loss: 0.1137 || KD Loss: 0.0336|| 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: 12:32:13 || Estimated Time: 1 day, 7:16:03
2023-07-12 04:22:24,194 semantic_segmentation INFO: Iters: 14320/50000 || Lr: 0.014762 || Task Loss: 0.1161 || KD Loss: 0.0303|| 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: 12:32:44 || Estimated Time: 1 day, 7:15:30
2023-07-12 04:22:55,123 semantic_segmentation INFO: Iters: 14330/50000 || Lr: 0.014758 || Task Loss: 0.1075 || KD Loss: 0.0285|| 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: 12:33:15 || Estimated Time: 1 day, 7:14:57
2023-07-12 04:23:26,012 semantic_segmentation INFO: Iters: 14340/50000 || Lr: 0.014755 || Task Loss: 0.1545 || KD Loss: 0.0372|| 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: 12:33:46 || Estimated Time: 1 day, 7:14:23
2023-07-12 04:23:56,901 semantic_segmentation INFO: Iters: 14350/50000 || Lr: 0.014751 || Task Loss: 0.1131 || KD Loss: 0.0321|| 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: 12:34:17 || Estimated Time: 1 day, 7:13:50
2023-07-12 04:24:27,761 semantic_segmentation INFO: Iters: 14360/50000 || Lr: 0.014747 || Task Loss: 0.1190 || KD Loss: 0.0277|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0783|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:34:48 || Estimated Time: 1 day, 7:13:17
2023-07-12 04:24:58,658 semantic_segmentation INFO: Iters: 14370/50000 || Lr: 0.014744 || Task Loss: 0.1174 || KD Loss: 0.0302|| 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: 12:35:18 || Estimated Time: 1 day, 7:12:44
2023-07-12 04:25:29,571 semantic_segmentation INFO: Iters: 14380/50000 || Lr: 0.014740 || Task Loss: 0.1179 || KD Loss: 0.0368|| 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: 12:35:49 || Estimated Time: 1 day, 7:12:11
2023-07-12 04:26:00,503 semantic_segmentation INFO: Iters: 14390/50000 || Lr: 0.014736 || Task Loss: 0.1397 || KD Loss: 0.0353|| 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: 12:36:20 || Estimated Time: 1 day, 7:11:38
2023-07-12 04:26:31,416 semantic_segmentation INFO: Iters: 14400/50000 || Lr: 0.014732 || Task Loss: 0.1017 || KD Loss: 0.0285|| 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: 12:36:51 || Estimated Time: 1 day, 7:11:05
2023-07-12 04:26:31,497 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 04:26:31,691 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-12 04:26:31,712 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 04:26:31,724 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 04:26:31,736 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 04:26:31,748 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 04:26:31,760 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.725
2023-07-12 04:26:31,772 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.726
2023-07-12 04:26:31,784 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.726
2023-07-12 04:26:31,796 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 04:26:31,808 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 04:26:31,820 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.727
2023-07-12 04:26:31,832 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.726
2023-07-12 04:26:31,844 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.730
2023-07-12 04:26:31,856 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 04:26:31,868 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 04:26:31,880 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 04:26:31,892 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 04:26:31,904 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 04:26:31,916 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 04:26:31,928 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 04:26:31,940 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 04:26:31,952 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 04:26:31,964 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 04:26:31,976 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 04:26:31,989 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 04:26:32,001 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 04:26:32,013 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 04:26:32,025 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 04:26:32,037 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 04:26:32,049 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 04:26:32,061 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 04:26:32,073 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 04:26:32,085 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 04:26:32,097 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 04:26:32,110 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 04:26:32,122 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 04:26:32,134 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 04:26:32,146 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 04:26:32,158 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 04:26:32,170 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 04:26:32,183 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 04:26:32,195 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 04:26:32,207 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 04:26:32,219 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 04:26:32,231 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 04:26:32,244 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 04:26:32,257 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 04:26:32,269 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 04:26:32,282 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-12 04:26:32,294 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-12 04:26:32,306 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 04:26:32,318 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 04:26:32,330 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-12 04:26:32,343 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 04:26:32,355 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 04:26:32,367 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 04:26:32,380 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-12 04:26:32,392 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 04:26:32,404 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 04:26:32,417 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 04:26:32,429 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 04:26:32,441 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-12 04:26:32,454 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 04:26:32,466 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 04:26:32,479 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 04:26:32,491 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 04:26:32,503 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-12 04:26:32,516 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-12 04:26:32,528 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 04:26:32,541 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 04:26:32,554 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 04:26:32,566 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 04:26:32,579 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 04:26:32,592 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 04:26:32,604 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 04:26:32,617 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 04:26:32,630 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 04:26:32,642 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 04:26:32,655 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 04:26:32,667 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 04:26:32,680 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 04:26:32,693 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 04:26:32,705 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 04:26:32,718 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 04:26:32,730 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 04:26:32,742 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 04:26:32,754 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 04:26:32,766 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 04:26:32,778 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 04:26:32,790 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 04:26:32,802 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 04:26:32,814 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 04:26:32,826 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 04:26:32,838 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 04:26:32,850 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 04:26:32,862 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 04:26:32,874 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 04:26:32,886 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 04:26:32,898 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 04:26:32,910 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 04:26:32,922 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 04:27:04,037 semantic_segmentation INFO: Iters: 14410/50000 || Lr: 0.014729 || Task Loss: 0.1036 || KD Loss: 0.0298|| 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: 12:37:24 || Estimated Time: 1 day, 7:10:36
2023-07-12 04:27:34,965 semantic_segmentation INFO: Iters: 14420/50000 || Lr: 0.014725 || Task Loss: 0.1294 || KD Loss: 0.0289|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0778|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:37:55 || Estimated Time: 1 day, 7:10:03
2023-07-12 04:28:05,900 semantic_segmentation INFO: Iters: 14430/50000 || Lr: 0.014721 || Task Loss: 0.0967 || KD Loss: 0.0299|| 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: 12:38:26 || Estimated Time: 1 day, 7:09:30
2023-07-12 04:28:36,850 semantic_segmentation INFO: Iters: 14440/50000 || Lr: 0.014717 || Task Loss: 0.0860 || KD Loss: 0.0277|| 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: 12:38:57 || Estimated Time: 1 day, 7:08:57
2023-07-12 04:29:07,752 semantic_segmentation INFO: Iters: 14450/50000 || Lr: 0.014714 || Task Loss: 0.0997 || 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: 12:39:28 || Estimated Time: 1 day, 7:08:24
2023-07-12 04:29:38,704 semantic_segmentation INFO: Iters: 14460/50000 || Lr: 0.014710 || Task Loss: 0.1092 || 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: 12:39:58 || Estimated Time: 1 day, 7:07:51
2023-07-12 04:30:09,655 semantic_segmentation INFO: Iters: 14470/50000 || Lr: 0.014706 || Task Loss: 0.1084 || KD Loss: 0.0298|| 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: 12:40:29 || Estimated Time: 1 day, 7:07:18
2023-07-12 04:30:40,576 semantic_segmentation INFO: Iters: 14480/50000 || Lr: 0.014703 || Task Loss: 0.1122 || KD Loss: 0.0302|| 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: 12:41:00 || Estimated Time: 1 day, 7:06:45
2023-07-12 04:31:11,480 semantic_segmentation INFO: Iters: 14490/50000 || Lr: 0.014699 || Task Loss: 0.1085 || KD Loss: 0.0297|| 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: 12:41:31 || Estimated Time: 1 day, 7:06:12
2023-07-12 04:31:42,425 semantic_segmentation INFO: Iters: 14500/50000 || Lr: 0.014695 || Task Loss: 0.1086 || 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: 12:42:02 || Estimated Time: 1 day, 7:05:39
2023-07-12 04:32:13,325 semantic_segmentation INFO: Iters: 14510/50000 || Lr: 0.014691 || Task Loss: 0.1202 || KD Loss: 0.0330|| 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: 12:42:33 || Estimated Time: 1 day, 7:05:06
2023-07-12 04:32:44,202 semantic_segmentation INFO: Iters: 14520/50000 || Lr: 0.014688 || Task Loss: 0.1182 || KD Loss: 0.0336|| 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: 12:43:04 || Estimated Time: 1 day, 7:04:33
2023-07-12 04:33:15,148 semantic_segmentation INFO: Iters: 14530/50000 || Lr: 0.014684 || Task Loss: 0.1126 || KD Loss: 0.0308|| 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: 12:43:35 || Estimated Time: 1 day, 7:04:00
2023-07-12 04:33:46,032 semantic_segmentation INFO: Iters: 14540/50000 || Lr: 0.014680 || Task Loss: 0.1034 || KD Loss: 0.0265|| 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: 12:44:06 || Estimated Time: 1 day, 7:03:26
2023-07-12 04:34:16,917 semantic_segmentation INFO: Iters: 14550/50000 || Lr: 0.014677 || Task Loss: 0.0970 || KD Loss: 0.0279|| 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: 12:44:37 || Estimated Time: 1 day, 7:02:53
2023-07-12 04:34:47,811 semantic_segmentation INFO: Iters: 14560/50000 || Lr: 0.014673 || Task Loss: 0.1306 || KD Loss: 0.0281|| 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: 12:45:08 || Estimated Time: 1 day, 7:02:20
2023-07-12 04:35:18,727 semantic_segmentation INFO: Iters: 14570/50000 || Lr: 0.014669 || Task Loss: 0.1134 || KD Loss: 0.0349|| 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: 12:45:38 || Estimated Time: 1 day, 7:01:47
2023-07-12 04:35:49,635 semantic_segmentation INFO: Iters: 14580/50000 || Lr: 0.014665 || Task Loss: 0.1100 || KD Loss: 0.0310|| 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: 12:46:09 || Estimated Time: 1 day, 7:01:14
2023-07-12 04:36:20,535 semantic_segmentation INFO: Iters: 14590/50000 || Lr: 0.014662 || Task Loss: 0.1475 || KD Loss: 0.0381|| 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: 12:46:40 || Estimated Time: 1 day, 7:00:41
2023-07-12 04:36:51,432 semantic_segmentation INFO: Iters: 14600/50000 || Lr: 0.014658 || Task Loss: 0.1111 || KD Loss: 0.0284|| 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: 12:47:11 || Estimated Time: 1 day, 7:00:08
2023-07-12 04:37:22,326 semantic_segmentation INFO: Iters: 14610/50000 || Lr: 0.014654 || Task Loss: 0.1164 || KD Loss: 0.0345|| 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: 12:47:42 || Estimated Time: 1 day, 6:59:35
2023-07-12 04:37:53,180 semantic_segmentation INFO: Iters: 14620/50000 || Lr: 0.014650 || Task Loss: 0.1175 || 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: 12:48:13 || Estimated Time: 1 day, 6:59:02
2023-07-12 04:38:24,102 semantic_segmentation INFO: Iters: 14630/50000 || Lr: 0.014647 || Task Loss: 0.1160 || KD Loss: 0.0292|| 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: 12:48:44 || Estimated Time: 1 day, 6:58:29
2023-07-12 04:38:54,999 semantic_segmentation INFO: Iters: 14640/50000 || Lr: 0.014643 || Task Loss: 0.0888 || KD Loss: 0.0275|| 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: 12:49:15 || Estimated Time: 1 day, 6:57:56
2023-07-12 04:39:25,875 semantic_segmentation INFO: Iters: 14650/50000 || Lr: 0.014639 || Task Loss: 0.0992 || KD Loss: 0.0304|| 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: 12:49:46 || Estimated Time: 1 day, 6:57:23
2023-07-12 04:39:56,770 semantic_segmentation INFO: Iters: 14660/50000 || Lr: 0.014636 || Task Loss: 0.1038 || KD Loss: 0.0346|| 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: 12:50:17 || Estimated Time: 1 day, 6:56:50
2023-07-12 04:40:27,696 semantic_segmentation INFO: Iters: 14670/50000 || Lr: 0.014632 || Task Loss: 0.1197 || KD Loss: 0.0313|| 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: 12:50:47 || Estimated Time: 1 day, 6:56:17
2023-07-12 04:40:58,591 semantic_segmentation INFO: Iters: 14680/50000 || Lr: 0.014628 || Task Loss: 0.1104 || KD Loss: 0.0278|| 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: 12:51:18 || Estimated Time: 1 day, 6:55:44
2023-07-12 04:41:29,493 semantic_segmentation INFO: Iters: 14690/50000 || Lr: 0.014624 || Task Loss: 0.1295 || KD Loss: 0.0342|| 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: 12:51:49 || Estimated Time: 1 day, 6:55:11
2023-07-12 04:42:00,413 semantic_segmentation INFO: Iters: 14700/50000 || Lr: 0.014621 || Task Loss: 0.1136 || KD Loss: 0.0309|| 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: 12:52:20 || Estimated Time: 1 day, 6:54:38
2023-07-12 04:42:31,359 semantic_segmentation INFO: Iters: 14710/50000 || Lr: 0.014617 || Task Loss: 0.1062 || KD Loss: 0.0332|| 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: 12:52:51 || Estimated Time: 1 day, 6:54:05
2023-07-12 04:43:02,252 semantic_segmentation INFO: Iters: 14720/50000 || Lr: 0.014613 || Task Loss: 0.1047 || KD Loss: 0.0312|| 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: 12:53:22 || Estimated Time: 1 day, 6:53:32
2023-07-12 04:43:33,201 semantic_segmentation INFO: Iters: 14730/50000 || Lr: 0.014609 || Task Loss: 0.1179 || KD Loss: 0.0274|| 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: 12:53:53 || Estimated Time: 1 day, 6:52:59
2023-07-12 04:44:04,110 semantic_segmentation INFO: Iters: 14740/50000 || Lr: 0.014606 || Task Loss: 0.1075 || KD Loss: 0.0348|| 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: 12:54:24 || Estimated Time: 1 day, 6:52:26
2023-07-12 04:44:35,006 semantic_segmentation INFO: Iters: 14750/50000 || Lr: 0.014602 || Task Loss: 0.1071 || KD Loss: 0.0309|| 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: 12:54:55 || Estimated Time: 1 day, 6:51:53
2023-07-12 04:45:05,915 semantic_segmentation INFO: Iters: 14760/50000 || Lr: 0.014598 || Task Loss: 0.1366 || KD Loss: 0.0343|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0783|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 12:55:26 || Estimated Time: 1 day, 6:51:20
2023-07-12 04:45:36,829 semantic_segmentation INFO: Iters: 14770/50000 || Lr: 0.014595 || Task Loss: 0.1149 || KD Loss: 0.0340|| 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: 12:55:57 || Estimated Time: 1 day, 6:50:47
2023-07-12 04:46:07,761 semantic_segmentation INFO: Iters: 14780/50000 || Lr: 0.014591 || Task Loss: 0.1166 || KD Loss: 0.0349|| 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: 12:56:28 || Estimated Time: 1 day, 6:50:14
2023-07-12 04:46:38,675 semantic_segmentation INFO: Iters: 14790/50000 || Lr: 0.014587 || Task Loss: 0.1002 || KD Loss: 0.0302|| 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: 12:56:58 || Estimated Time: 1 day, 6:49:41
2023-07-12 04:47:09,582 semantic_segmentation INFO: Iters: 14800/50000 || Lr: 0.014583 || Task Loss: 0.1147 || 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: 12:57:29 || Estimated Time: 1 day, 6:49:08
2023-07-12 04:47:40,496 semantic_segmentation INFO: Iters: 14810/50000 || Lr: 0.014580 || Task Loss: 0.1380 || KD Loss: 0.0381|| 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: 12:58:00 || Estimated Time: 1 day, 6:48:35
2023-07-12 04:48:11,349 semantic_segmentation INFO: Iters: 14820/50000 || Lr: 0.014576 || Task Loss: 0.1119 || KD Loss: 0.0281|| 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: 12:58:31 || Estimated Time: 1 day, 6:48:02
2023-07-12 04:48:42,252 semantic_segmentation INFO: Iters: 14830/50000 || Lr: 0.014572 || Task Loss: 0.1012 || KD Loss: 0.0253|| 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: 12:59:02 || Estimated Time: 1 day, 6:47:29
2023-07-12 04:49:13,163 semantic_segmentation INFO: Iters: 14840/50000 || Lr: 0.014568 || Task Loss: 0.1135 || KD Loss: 0.0324|| 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: 12:59:33 || Estimated Time: 1 day, 6:46:56
2023-07-12 04:49:44,019 semantic_segmentation INFO: Iters: 14850/50000 || Lr: 0.014565 || Task Loss: 0.1076 || KD Loss: 0.0340|| 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: 13:00:04 || Estimated Time: 1 day, 6:46:23
2023-07-12 04:50:14,870 semantic_segmentation INFO: Iters: 14860/50000 || Lr: 0.014561 || Task Loss: 0.0862 || KD Loss: 0.0259|| 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: 13:00:35 || Estimated Time: 1 day, 6:45:50
2023-07-12 04:50:45,775 semantic_segmentation INFO: Iters: 14870/50000 || Lr: 0.014557 || Task Loss: 0.0994 || KD Loss: 0.0279|| 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: 13:01:06 || Estimated Time: 1 day, 6:45:17
2023-07-12 04:51:16,654 semantic_segmentation INFO: Iters: 14880/50000 || Lr: 0.014553 || Task Loss: 0.0987 || KD Loss: 0.0308|| 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: 13:01:36 || Estimated Time: 1 day, 6:44:44
2023-07-12 04:51:47,531 semantic_segmentation INFO: Iters: 14890/50000 || Lr: 0.014550 || Task Loss: 0.1424 || KD Loss: 0.0305|| 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: 13:02:07 || Estimated Time: 1 day, 6:44:11
2023-07-12 04:52:18,450 semantic_segmentation INFO: Iters: 14900/50000 || Lr: 0.014546 || Task Loss: 0.1011 || 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: 13:02:38 || Estimated Time: 1 day, 6:43:38
2023-07-12 04:52:49,340 semantic_segmentation INFO: Iters: 14910/50000 || Lr: 0.014542 || Task Loss: 0.1008 || KD Loss: 0.0273|| 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: 13:03:09 || Estimated Time: 1 day, 6:43:05
2023-07-12 04:53:20,203 semantic_segmentation INFO: Iters: 14920/50000 || Lr: 0.014539 || Task Loss: 0.1200 || KD Loss: 0.0296|| 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: 13:03:40 || Estimated Time: 1 day, 6:42:32
2023-07-12 04:53:51,126 semantic_segmentation INFO: Iters: 14930/50000 || Lr: 0.014535 || Task Loss: 0.1054 || KD Loss: 0.0337|| 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: 13:04:11 || Estimated Time: 1 day, 6:41:59
2023-07-12 04:54:22,021 semantic_segmentation INFO: Iters: 14940/50000 || Lr: 0.014531 || Task Loss: 0.0965 || KD Loss: 0.0301|| 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: 13:04:42 || Estimated Time: 1 day, 6:41:26
2023-07-12 04:54:52,937 semantic_segmentation INFO: Iters: 14950/50000 || Lr: 0.014527 || Task Loss: 0.1043 || 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: 13:05:13 || Estimated Time: 1 day, 6:40:53
2023-07-12 04:55:23,825 semantic_segmentation INFO: Iters: 14960/50000 || Lr: 0.014524 || Task Loss: 0.0977 || KD Loss: 0.0252|| 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: 13:05:44 || Estimated Time: 1 day, 6:40:20
2023-07-12 04:55:54,745 semantic_segmentation INFO: Iters: 14970/50000 || Lr: 0.014520 || Task Loss: 0.1034 || KD Loss: 0.0278|| 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: 13:06:15 || Estimated Time: 1 day, 6:39:47
2023-07-12 04:56:25,710 semantic_segmentation INFO: Iters: 14980/50000 || Lr: 0.014516 || Task Loss: 0.0986 || KD Loss: 0.0291|| 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: 13:06:45 || Estimated Time: 1 day, 6:39:14
2023-07-12 04:56:56,608 semantic_segmentation INFO: Iters: 14990/50000 || Lr: 0.014512 || Task Loss: 0.0998 || KD Loss: 0.0276|| 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: 13:07:16 || Estimated Time: 1 day, 6:38:41
2023-07-12 04:57:27,545 semantic_segmentation INFO: Iters: 15000/50000 || Lr: 0.014509 || Task Loss: 0.1062 || 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: 13:07:47 || Estimated Time: 1 day, 6:38:09
2023-07-12 04:57:58,422 semantic_segmentation INFO: Iters: 15010/50000 || Lr: 0.014505 || Task Loss: 0.1063 || KD Loss: 0.0314|| 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: 13:08:18 || Estimated Time: 1 day, 6:37:36
2023-07-12 04:58:29,344 semantic_segmentation INFO: Iters: 15020/50000 || Lr: 0.014501 || Task Loss: 0.1094 || KD Loss: 0.0292|| 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: 13:08:49 || Estimated Time: 1 day, 6:37:03
2023-07-12 04:59:00,239 semantic_segmentation INFO: Iters: 15030/50000 || Lr: 0.014498 || Task Loss: 0.1043 || KD Loss: 0.0262|| 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: 13:09:20 || Estimated Time: 1 day, 6:36:30
2023-07-12 04:59:31,139 semantic_segmentation INFO: Iters: 15040/50000 || Lr: 0.014494 || Task Loss: 0.1167 || KD Loss: 0.0307|| 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: 13:09:51 || Estimated Time: 1 day, 6:35:57
2023-07-12 05:00:02,004 semantic_segmentation INFO: Iters: 15050/50000 || Lr: 0.014490 || Task Loss: 0.0975 || KD Loss: 0.0275|| 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: 13:10:22 || Estimated Time: 1 day, 6:35:24
2023-07-12 05:00:32,910 semantic_segmentation INFO: Iters: 15060/50000 || Lr: 0.014486 || Task Loss: 0.1028 || KD Loss: 0.0283|| 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: 13:10:53 || Estimated Time: 1 day, 6:34:51
2023-07-12 05:01:03,777 semantic_segmentation INFO: Iters: 15070/50000 || Lr: 0.014483 || Task Loss: 0.1228 || KD Loss: 0.0323|| 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: 13:11:24 || Estimated Time: 1 day, 6:34:18
2023-07-12 05:01:34,693 semantic_segmentation INFO: Iters: 15080/50000 || Lr: 0.014479 || Task Loss: 0.0943 || 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: 13:11:54 || Estimated Time: 1 day, 6:33:45
2023-07-12 05:02:05,607 semantic_segmentation INFO: Iters: 15090/50000 || Lr: 0.014475 || Task Loss: 0.1128 || 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: 13:12:25 || Estimated Time: 1 day, 6:33:12
2023-07-12 05:02:36,460 semantic_segmentation INFO: Iters: 15100/50000 || Lr: 0.014471 || Task Loss: 0.1023 || 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: 13:12:56 || Estimated Time: 1 day, 6:32:39
2023-07-12 05:03:07,328 semantic_segmentation INFO: Iters: 15110/50000 || Lr: 0.014468 || Task Loss: 0.1043 || KD Loss: 0.0278|| 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: 13:13:27 || Estimated Time: 1 day, 6:32:06
2023-07-12 05:03:38,242 semantic_segmentation INFO: Iters: 15120/50000 || Lr: 0.014464 || Task Loss: 0.1127 || KD Loss: 0.0349|| 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: 13:13:58 || Estimated Time: 1 day, 6:31:33
2023-07-12 05:04:09,119 semantic_segmentation INFO: Iters: 15130/50000 || Lr: 0.014460 || Task Loss: 0.1021 || KD Loss: 0.0315|| 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: 13:14:29 || Estimated Time: 1 day, 6:31:00
2023-07-12 05:04:39,991 semantic_segmentation INFO: Iters: 15140/50000 || Lr: 0.014456 || Task Loss: 0.1082 || 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: 13:15:00 || Estimated Time: 1 day, 6:30:27
2023-07-12 05:05:10,892 semantic_segmentation INFO: Iters: 15150/50000 || Lr: 0.014453 || Task Loss: 0.1167 || KD Loss: 0.0352|| 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: 13:15:31 || Estimated Time: 1 day, 6:29:55
2023-07-12 05:05:41,779 semantic_segmentation INFO: Iters: 15160/50000 || Lr: 0.014449 || Task Loss: 0.1131 || KD Loss: 0.0272|| 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: 13:16:02 || Estimated Time: 1 day, 6:29:22
2023-07-12 05:06:12,696 semantic_segmentation INFO: Iters: 15170/50000 || Lr: 0.014445 || Task Loss: 0.1060 || KD Loss: 0.0313|| 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: 13:16:32 || Estimated Time: 1 day, 6:28:49
2023-07-12 05:06:43,603 semantic_segmentation INFO: Iters: 15180/50000 || Lr: 0.014442 || Task Loss: 0.1046 || KD Loss: 0.0328|| 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: 13:17:03 || Estimated Time: 1 day, 6:28:16
2023-07-12 05:07:14,491 semantic_segmentation INFO: Iters: 15190/50000 || Lr: 0.014438 || Task Loss: 0.1149 || KD Loss: 0.0292|| 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: 13:17:34 || Estimated Time: 1 day, 6:27:43
2023-07-12 05:07:45,417 semantic_segmentation INFO: Iters: 15200/50000 || Lr: 0.014434 || Task Loss: 0.1039 || KD Loss: 0.0308|| 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: 13:18:05 || Estimated Time: 1 day, 6:27:10
2023-07-12 05:07:45,497 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 05:07:45,686 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.732
2023-07-12 05:07:45,699 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 05:07:45,711 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 05:07:45,723 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.724
2023-07-12 05:07:45,735 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-12 05:07:45,747 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.719
2023-07-12 05:07:45,758 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.720
2023-07-12 05:07:45,771 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-12 05:07:45,783 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.719
2023-07-12 05:07:45,796 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-12 05:07:45,808 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.722
2023-07-12 05:07:45,820 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.722
2023-07-12 05:07:45,832 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.726
2023-07-12 05:07:45,844 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 05:07:45,857 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.731
2023-07-12 05:07:45,869 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 05:07:45,882 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.735
2023-07-12 05:07:45,894 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 05:07:45,906 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 05:07:45,918 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 05:07:45,930 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 05:07:45,942 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 05:07:45,954 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 05:07:45,967 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 05:07:45,979 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 05:07:45,991 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 05:07:46,004 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 05:07:46,016 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 05:07:46,029 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 05:07:46,041 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.735
2023-07-12 05:07:46,053 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.735
2023-07-12 05:07:46,066 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 05:07:46,079 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 05:07:46,091 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 05:07:46,103 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 05:07:46,116 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.736
2023-07-12 05:07:46,129 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 05:07:46,143 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 05:07:46,155 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 05:07:46,167 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 05:07:46,180 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 05:07:46,193 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 05:07:46,205 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 05:07:46,218 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 05:07:46,230 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 05:07:46,242 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 05:07:46,255 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 05:07:46,267 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 05:07:46,280 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 05:07:46,292 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 05:07:46,305 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 05:07:46,317 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 05:07:46,329 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 05:07:46,342 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 05:07:46,354 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 05:07:46,366 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 05:07:46,379 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 05:07:46,391 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 05:07:46,403 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 05:07:46,416 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 05:07:46,428 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 05:07:46,440 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 05:07:46,453 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 05:07:46,465 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 05:07:46,478 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 05:07:46,490 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-12 05:07:46,502 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 05:07:46,515 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 05:07:46,527 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 05:07:46,539 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 05:07:46,551 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 05:07:46,564 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 05:07:46,577 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 05:07:46,589 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 05:07:46,602 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 05:07:46,614 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 05:07:46,627 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 05:07:46,639 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 05:07:46,652 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 05:07:46,664 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 05:07:46,677 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 05:07:46,689 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 05:07:46,702 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 05:07:46,714 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:07:46,727 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 05:07:46,739 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 05:07:46,751 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-12 05:07:46,763 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-12 05:07:46,776 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 05:07:46,788 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 05:07:46,800 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 05:07:46,812 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 05:07:46,824 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 05:07:46,836 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 05:07:46,849 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:07:46,861 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:07:46,873 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:07:46,885 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 05:07:46,897 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 05:07:46,909 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 05:07:46,921 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 05:08:18,191 semantic_segmentation INFO: Iters: 15210/50000 || Lr: 0.014430 || Task Loss: 0.1276 || KD Loss: 0.0336|| 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: 13:18:38 || Estimated Time: 1 day, 6:26:42
2023-07-12 05:08:49,061 semantic_segmentation INFO: Iters: 15220/50000 || Lr: 0.014427 || Task Loss: 0.1006 || KD Loss: 0.0287|| 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: 13:19:09 || Estimated Time: 1 day, 6:26:09
2023-07-12 05:09:19,977 semantic_segmentation INFO: Iters: 15230/50000 || Lr: 0.014423 || Task Loss: 0.1038 || KD Loss: 0.0289|| 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: 13:19:40 || Estimated Time: 1 day, 6:25:36
2023-07-12 05:09:50,874 semantic_segmentation INFO: Iters: 15240/50000 || Lr: 0.014419 || Task Loss: 0.1166 || KD Loss: 0.0311|| 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: 13:20:11 || Estimated Time: 1 day, 6:25:03
2023-07-12 05:10:21,808 semantic_segmentation INFO: Iters: 15250/50000 || Lr: 0.014415 || Task Loss: 0.1161 || KD Loss: 0.0314|| 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: 13:20:42 || Estimated Time: 1 day, 6:24:30
2023-07-12 05:10:52,729 semantic_segmentation INFO: Iters: 15260/50000 || Lr: 0.014412 || Task Loss: 0.1192 || KD Loss: 0.0366|| 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: 13:21:12 || Estimated Time: 1 day, 6:23:57
2023-07-12 05:11:23,638 semantic_segmentation INFO: Iters: 15270/50000 || Lr: 0.014408 || Task Loss: 0.0961 || KD Loss: 0.0323|| 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: 13:21:43 || Estimated Time: 1 day, 6:23:24
2023-07-12 05:11:54,547 semantic_segmentation INFO: Iters: 15280/50000 || Lr: 0.014404 || Task Loss: 0.1141 || KD Loss: 0.0267|| 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: 13:22:14 || Estimated Time: 1 day, 6:22:52
2023-07-12 05:12:25,462 semantic_segmentation INFO: Iters: 15290/50000 || Lr: 0.014400 || Task Loss: 0.1060 || KD Loss: 0.0275|| 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: 13:22:45 || Estimated Time: 1 day, 6:22:19
2023-07-12 05:12:56,428 semantic_segmentation INFO: Iters: 15300/50000 || Lr: 0.014397 || Task Loss: 0.1009 || KD Loss: 0.0339|| 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: 13:23:16 || Estimated Time: 1 day, 6:21:46
2023-07-12 05:13:27,345 semantic_segmentation INFO: Iters: 15310/50000 || Lr: 0.014393 || Task Loss: 0.1110 || KD Loss: 0.0340|| 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: 13:23:47 || Estimated Time: 1 day, 6:21:13
2023-07-12 05:13:58,277 semantic_segmentation INFO: Iters: 15320/50000 || Lr: 0.014389 || Task Loss: 0.1016 || KD Loss: 0.0324|| 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: 13:24:18 || Estimated Time: 1 day, 6:20:40
2023-07-12 05:14:29,193 semantic_segmentation INFO: Iters: 15330/50000 || Lr: 0.014386 || Task Loss: 0.0829 || KD Loss: 0.0298|| 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: 13:24:49 || Estimated Time: 1 day, 6:20:08
2023-07-12 05:15:00,063 semantic_segmentation INFO: Iters: 15340/50000 || Lr: 0.014382 || Task Loss: 0.1055 || KD Loss: 0.0271|| 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: 13:25:20 || Estimated Time: 1 day, 6:19:35
2023-07-12 05:15:30,990 semantic_segmentation INFO: Iters: 15350/50000 || Lr: 0.014378 || Task Loss: 0.1117 || KD Loss: 0.0337|| 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: 13:25:51 || Estimated Time: 1 day, 6:19:02
2023-07-12 05:16:01,875 semantic_segmentation INFO: Iters: 15360/50000 || Lr: 0.014374 || Task Loss: 0.1206 || KD Loss: 0.0289|| 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: 13:26:22 || Estimated Time: 1 day, 6:18:29
2023-07-12 05:16:32,822 semantic_segmentation INFO: Iters: 15370/50000 || Lr: 0.014371 || Task Loss: 0.0965 || KD Loss: 0.0264|| 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: 13:26:53 || Estimated Time: 1 day, 6:17:56
2023-07-12 05:17:03,687 semantic_segmentation INFO: Iters: 15380/50000 || Lr: 0.014367 || Task Loss: 0.1383 || KD Loss: 0.0447|| 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: 13:27:23 || Estimated Time: 1 day, 6:17:23
2023-07-12 05:17:34,617 semantic_segmentation INFO: Iters: 15390/50000 || Lr: 0.014363 || Task Loss: 0.1149 || KD Loss: 0.0289|| 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: 13:27:54 || Estimated Time: 1 day, 6:16:51
2023-07-12 05:18:05,514 semantic_segmentation INFO: Iters: 15400/50000 || Lr: 0.014359 || Task Loss: 0.1009 || KD Loss: 0.0274|| 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: 13:28:25 || Estimated Time: 1 day, 6:16:18
2023-07-12 05:18:36,413 semantic_segmentation INFO: Iters: 15410/50000 || Lr: 0.014356 || Task Loss: 0.0973 || KD Loss: 0.0278|| 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: 13:28:56 || Estimated Time: 1 day, 6:15:45
2023-07-12 05:19:07,307 semantic_segmentation INFO: Iters: 15420/50000 || Lr: 0.014352 || Task Loss: 0.0943 || KD Loss: 0.0295|| 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: 13:29:27 || Estimated Time: 1 day, 6:15:12
2023-07-12 05:19:38,156 semantic_segmentation INFO: Iters: 15430/50000 || Lr: 0.014348 || Task Loss: 0.1164 || KD Loss: 0.0284|| 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: 13:29:58 || Estimated Time: 1 day, 6:14:39
2023-07-12 05:20:09,059 semantic_segmentation INFO: Iters: 15440/50000 || Lr: 0.014344 || Task Loss: 0.1073 || KD Loss: 0.0310|| 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: 13:30:29 || Estimated Time: 1 day, 6:14:06
2023-07-12 05:20:39,953 semantic_segmentation INFO: Iters: 15450/50000 || Lr: 0.014341 || Task Loss: 0.0968 || KD Loss: 0.0330|| 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: 13:31:00 || Estimated Time: 1 day, 6:13:33
2023-07-12 05:21:10,799 semantic_segmentation INFO: Iters: 15460/50000 || Lr: 0.014337 || Task Loss: 0.1295 || KD Loss: 0.0326|| 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: 13:31:31 || Estimated Time: 1 day, 6:13:00
2023-07-12 05:21:41,724 semantic_segmentation INFO: Iters: 15470/50000 || Lr: 0.014333 || Task Loss: 0.1009 || KD Loss: 0.0297|| 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: 13:32:01 || Estimated Time: 1 day, 6:12:28
2023-07-12 05:22:12,609 semantic_segmentation INFO: Iters: 15480/50000 || Lr: 0.014330 || Task Loss: 0.1148 || KD Loss: 0.0308|| 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: 13:32:32 || Estimated Time: 1 day, 6:11:55
2023-07-12 05:22:43,499 semantic_segmentation INFO: Iters: 15490/50000 || Lr: 0.014326 || Task Loss: 0.1098 || KD Loss: 0.0356|| 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: 13:33:03 || Estimated Time: 1 day, 6:11:22
2023-07-12 05:23:14,401 semantic_segmentation INFO: Iters: 15500/50000 || Lr: 0.014322 || Task Loss: 0.1307 || 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: 13:33:34 || Estimated Time: 1 day, 6:10:49
2023-07-12 05:23:45,299 semantic_segmentation INFO: Iters: 15510/50000 || Lr: 0.014318 || Task Loss: 0.1271 || KD Loss: 0.0300|| 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: 13:34:05 || Estimated Time: 1 day, 6:10:16
2023-07-12 05:24:16,228 semantic_segmentation INFO: Iters: 15520/50000 || Lr: 0.014315 || Task Loss: 0.1074 || 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: 13:34:36 || Estimated Time: 1 day, 6:09:44
2023-07-12 05:24:47,147 semantic_segmentation INFO: Iters: 15530/50000 || Lr: 0.014311 || Task Loss: 0.1086 || KD Loss: 0.0261|| 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: 13:35:07 || Estimated Time: 1 day, 6:09:11
2023-07-12 05:25:18,073 semantic_segmentation INFO: Iters: 15540/50000 || Lr: 0.014307 || Task Loss: 0.0841 || 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: 13:35:38 || Estimated Time: 1 day, 6:08:38
2023-07-12 05:25:48,975 semantic_segmentation INFO: Iters: 15550/50000 || Lr: 0.014303 || Task Loss: 0.1072 || KD Loss: 0.0279|| 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: 13:36:09 || Estimated Time: 1 day, 6:08:05
2023-07-12 05:26:19,884 semantic_segmentation INFO: Iters: 15560/50000 || Lr: 0.014300 || Task Loss: 0.1081 || KD Loss: 0.0338|| 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: 13:36:40 || Estimated Time: 1 day, 6:07:33
2023-07-12 05:26:50,796 semantic_segmentation INFO: Iters: 15570/50000 || Lr: 0.014296 || Task Loss: 0.1183 || KD Loss: 0.0287|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0763|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:37:11 || Estimated Time: 1 day, 6:07:00
2023-07-12 05:27:21,742 semantic_segmentation INFO: Iters: 15580/50000 || Lr: 0.014292 || Task Loss: 0.1165 || 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: 13:37:42 || Estimated Time: 1 day, 6:06:27
2023-07-12 05:27:52,639 semantic_segmentation INFO: Iters: 15590/50000 || Lr: 0.014288 || Task Loss: 0.1083 || KD Loss: 0.0268|| 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: 13:38:12 || Estimated Time: 1 day, 6:05:54
2023-07-12 05:28:23,570 semantic_segmentation INFO: Iters: 15600/50000 || Lr: 0.014285 || Task Loss: 0.1103 || KD Loss: 0.0284|| 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: 13:38:43 || Estimated Time: 1 day, 6:05:22
2023-07-12 05:28:54,479 semantic_segmentation INFO: Iters: 15610/50000 || Lr: 0.014281 || Task Loss: 0.1055 || KD Loss: 0.0270|| 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: 13:39:14 || Estimated Time: 1 day, 6:04:49
2023-07-12 05:29:25,425 semantic_segmentation INFO: Iters: 15620/50000 || Lr: 0.014277 || Task Loss: 0.1194 || KD Loss: 0.0313|| 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: 13:39:45 || Estimated Time: 1 day, 6:04:16
2023-07-12 05:29:56,298 semantic_segmentation INFO: Iters: 15630/50000 || Lr: 0.014273 || Task Loss: 0.0996 || KD Loss: 0.0314|| 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: 13:40:16 || Estimated Time: 1 day, 6:03:43
2023-07-12 05:30:27,177 semantic_segmentation INFO: Iters: 15640/50000 || Lr: 0.014270 || Task Loss: 0.1133 || KD Loss: 0.0300|| 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: 13:40:47 || Estimated Time: 1 day, 6:03:10
2023-07-12 05:30:58,066 semantic_segmentation INFO: Iters: 15650/50000 || Lr: 0.014266 || Task Loss: 0.1037 || KD Loss: 0.0318|| 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: 13:41:18 || Estimated Time: 1 day, 6:02:38
2023-07-12 05:31:29,013 semantic_segmentation INFO: Iters: 15660/50000 || Lr: 0.014262 || Task Loss: 0.1378 || KD Loss: 0.0365|| 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: 13:41:49 || Estimated Time: 1 day, 6:02:05
2023-07-12 05:31:59,933 semantic_segmentation INFO: Iters: 15670/50000 || Lr: 0.014259 || Task Loss: 0.1063 || 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: 13:42:20 || Estimated Time: 1 day, 6:01:32
2023-07-12 05:32:30,823 semantic_segmentation INFO: Iters: 15680/50000 || Lr: 0.014255 || Task Loss: 0.0998 || KD Loss: 0.0254|| 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: 13:42:51 || Estimated Time: 1 day, 6:00:59
2023-07-12 05:33:01,717 semantic_segmentation INFO: Iters: 15690/50000 || Lr: 0.014251 || Task Loss: 0.0958 || KD Loss: 0.0283|| 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: 13:43:21 || Estimated Time: 1 day, 6:00:27
2023-07-12 05:33:32,597 semantic_segmentation INFO: Iters: 15700/50000 || Lr: 0.014247 || Task Loss: 0.1109 || KD Loss: 0.0331|| 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: 13:43:52 || Estimated Time: 1 day, 5:59:54
2023-07-12 05:34:03,500 semantic_segmentation INFO: Iters: 15710/50000 || Lr: 0.014244 || Task Loss: 0.1044 || KD Loss: 0.0292|| 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: 13:44:23 || Estimated Time: 1 day, 5:59:21
2023-07-12 05:34:34,361 semantic_segmentation INFO: Iters: 15720/50000 || Lr: 0.014240 || Task Loss: 0.0998 || KD Loss: 0.0296|| 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: 13:44:54 || Estimated Time: 1 day, 5:58:48
2023-07-12 05:35:05,285 semantic_segmentation INFO: Iters: 15730/50000 || Lr: 0.014236 || Task Loss: 0.1124 || KD Loss: 0.0313|| 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: 13:45:25 || Estimated Time: 1 day, 5:58:16
2023-07-12 05:35:36,211 semantic_segmentation INFO: Iters: 15740/50000 || Lr: 0.014232 || Task Loss: 0.1186 || KD Loss: 0.0305|| 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: 13:45:56 || Estimated Time: 1 day, 5:57:43
2023-07-12 05:36:07,111 semantic_segmentation INFO: Iters: 15750/50000 || Lr: 0.014229 || Task Loss: 0.1141 || 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: 13:46:27 || Estimated Time: 1 day, 5:57:10
2023-07-12 05:36:38,000 semantic_segmentation INFO: Iters: 15760/50000 || Lr: 0.014225 || Task Loss: 0.1239 || 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: 13:46:58 || Estimated Time: 1 day, 5:56:37
2023-07-12 05:37:08,909 semantic_segmentation INFO: Iters: 15770/50000 || Lr: 0.014221 || Task Loss: 0.1099 || KD Loss: 0.0313|| 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: 13:47:29 || Estimated Time: 1 day, 5:56:05
2023-07-12 05:37:39,828 semantic_segmentation INFO: Iters: 15780/50000 || Lr: 0.014217 || Task Loss: 0.1144 || 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: 13:48:00 || Estimated Time: 1 day, 5:55:32
2023-07-12 05:38:10,691 semantic_segmentation INFO: Iters: 15790/50000 || Lr: 0.014214 || Task Loss: 0.0978 || KD Loss: 0.0328|| 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: 13:48:30 || Estimated Time: 1 day, 5:54:59
2023-07-12 05:38:41,647 semantic_segmentation INFO: Iters: 15800/50000 || Lr: 0.014210 || Task Loss: 0.1110 || KD Loss: 0.0295|| 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: 13:49:01 || Estimated Time: 1 day, 5:54:26
2023-07-12 05:39:12,571 semantic_segmentation INFO: Iters: 15810/50000 || Lr: 0.014206 || Task Loss: 0.0962 || KD Loss: 0.0261|| 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: 13:49:32 || Estimated Time: 1 day, 5:53:54
2023-07-12 05:39:43,466 semantic_segmentation INFO: Iters: 15820/50000 || Lr: 0.014202 || Task Loss: 0.1148 || KD Loss: 0.0317|| 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: 13:50:03 || Estimated Time: 1 day, 5:53:21
2023-07-12 05:40:14,352 semantic_segmentation INFO: Iters: 15830/50000 || Lr: 0.014199 || Task Loss: 0.1142 || KD Loss: 0.0326|| 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: 13:50:34 || Estimated Time: 1 day, 5:52:48
2023-07-12 05:40:45,260 semantic_segmentation INFO: Iters: 15840/50000 || Lr: 0.014195 || Task Loss: 0.1056 || KD Loss: 0.0276|| 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: 13:51:05 || Estimated Time: 1 day, 5:52:16
2023-07-12 05:41:16,175 semantic_segmentation INFO: Iters: 15850/50000 || Lr: 0.014191 || Task Loss: 0.1036 || KD Loss: 0.0269|| 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: 13:51:36 || Estimated Time: 1 day, 5:51:43
2023-07-12 05:41:47,117 semantic_segmentation INFO: Iters: 15860/50000 || Lr: 0.014187 || Task Loss: 0.0994 || KD Loss: 0.0310|| 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: 13:52:07 || Estimated Time: 1 day, 5:51:10
2023-07-12 05:42:18,038 semantic_segmentation INFO: Iters: 15870/50000 || Lr: 0.014184 || Task Loss: 0.1070 || KD Loss: 0.0329|| 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: 13:52:38 || Estimated Time: 1 day, 5:50:38
2023-07-12 05:42:48,972 semantic_segmentation INFO: Iters: 15880/50000 || Lr: 0.014180 || Task Loss: 0.1117 || KD Loss: 0.0402|| 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: 13:53:09 || Estimated Time: 1 day, 5:50:05
2023-07-12 05:43:19,898 semantic_segmentation INFO: Iters: 15890/50000 || Lr: 0.014176 || Task Loss: 0.0920 || KD Loss: 0.0285|| 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: 13:53:40 || Estimated Time: 1 day, 5:49:32
2023-07-12 05:43:50,833 semantic_segmentation INFO: Iters: 15900/50000 || Lr: 0.014173 || Task Loss: 0.1011 || KD Loss: 0.0287|| 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: 13:54:11 || Estimated Time: 1 day, 5:49:00
2023-07-12 05:44:21,733 semantic_segmentation INFO: Iters: 15910/50000 || Lr: 0.014169 || Task Loss: 0.1202 || KD Loss: 0.0302|| 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: 13:54:41 || Estimated Time: 1 day, 5:48:27
2023-07-12 05:44:52,631 semantic_segmentation INFO: Iters: 15920/50000 || Lr: 0.014165 || Task Loss: 0.1050 || KD Loss: 0.0295|| 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: 13:55:12 || Estimated Time: 1 day, 5:47:54
2023-07-12 05:45:23,577 semantic_segmentation INFO: Iters: 15930/50000 || Lr: 0.014161 || Task Loss: 0.1131 || KD Loss: 0.0315|| 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: 13:55:43 || Estimated Time: 1 day, 5:47:22
2023-07-12 05:45:54,474 semantic_segmentation INFO: Iters: 15940/50000 || Lr: 0.014158 || Task Loss: 0.1020 || 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: 13:56:14 || Estimated Time: 1 day, 5:46:49
2023-07-12 05:46:25,377 semantic_segmentation INFO: Iters: 15950/50000 || Lr: 0.014154 || Task Loss: 0.1120 || KD Loss: 0.0316|| 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: 13:56:45 || Estimated Time: 1 day, 5:46:16
2023-07-12 05:46:56,255 semantic_segmentation INFO: Iters: 15960/50000 || Lr: 0.014150 || Task Loss: 0.1255 || KD Loss: 0.0273|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0773|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 13:57:16 || Estimated Time: 1 day, 5:45:43
2023-07-12 05:47:27,157 semantic_segmentation INFO: Iters: 15970/50000 || Lr: 0.014146 || Task Loss: 0.1089 || KD Loss: 0.0341|| 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: 13:57:47 || Estimated Time: 1 day, 5:45:11
2023-07-12 05:47:58,094 semantic_segmentation INFO: Iters: 15980/50000 || Lr: 0.014143 || Task Loss: 0.1101 || KD Loss: 0.0290|| 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: 13:58:18 || Estimated Time: 1 day, 5:44:38
2023-07-12 05:48:29,008 semantic_segmentation INFO: Iters: 15990/50000 || Lr: 0.014139 || Task Loss: 0.1181 || KD Loss: 0.0358|| 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: 13:58:49 || Estimated Time: 1 day, 5:44:05
2023-07-12 05:48:59,905 semantic_segmentation INFO: Iters: 16000/50000 || Lr: 0.014135 || Task Loss: 0.1118 || KD Loss: 0.0295|| 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: 13:59:20 || Estimated Time: 1 day, 5:43:33
2023-07-12 05:49:00,068 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 05:49:00,252 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.731
2023-07-12 05:49:00,268 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.731
2023-07-12 05:49:00,280 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 05:49:00,292 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.728
2023-07-12 05:49:00,304 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 05:49:00,316 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 05:49:00,328 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 05:49:00,340 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 05:49:00,352 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 05:49:00,363 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 05:49:00,376 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.725
2023-07-12 05:49:00,388 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.724
2023-07-12 05:49:00,400 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.727
2023-07-12 05:49:00,413 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.730
2023-07-12 05:49:00,425 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 05:49:00,437 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 05:49:00,450 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.736
2023-07-12 05:49:00,462 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 05:49:00,474 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 05:49:00,486 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 05:49:00,499 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 05:49:00,511 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 05:49:00,523 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 05:49:00,536 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.957, mIoU: 0.733
2023-07-12 05:49:00,548 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 05:49:00,560 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 05:49:00,573 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 05:49:00,585 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 05:49:00,597 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 05:49:00,609 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 05:49:00,622 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 05:49:00,634 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 05:49:00,647 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 05:49:00,659 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 05:49:00,671 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 05:49:00,684 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.737
2023-07-12 05:49:00,696 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 05:49:00,709 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 05:49:00,721 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 05:49:00,733 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 05:49:00,746 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 05:49:00,758 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 05:49:00,770 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 05:49:00,783 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 05:49:00,795 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.742
2023-07-12 05:49:00,807 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.955, mIoU: 0.743
2023-07-12 05:49:00,820 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 05:49:00,832 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 05:49:00,844 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 05:49:00,858 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.747
2023-07-12 05:49:00,872 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 05:49:00,884 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 05:49:00,897 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 05:49:00,909 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 05:49:00,921 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.953, mIoU: 0.751
2023-07-12 05:49:00,933 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 05:49:00,946 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 05:49:00,958 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 05:49:00,970 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 05:49:00,983 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-12 05:49:00,995 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 05:49:01,008 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 05:49:01,020 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.951, mIoU: 0.756
2023-07-12 05:49:01,033 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 05:49:01,045 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 05:49:01,058 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.950, mIoU: 0.758
2023-07-12 05:49:01,071 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.759
2023-07-12 05:49:01,083 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 05:49:01,095 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 05:49:01,108 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 05:49:01,120 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 05:49:01,133 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:49:01,145 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:49:01,158 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:49:01,170 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:49:01,182 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:49:01,195 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 05:49:01,207 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 05:49:01,219 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 05:49:01,232 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 05:49:01,244 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 05:49:01,256 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 05:49:01,269 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-12 05:49:01,281 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-12 05:49:01,293 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 05:49:01,305 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 05:49:01,317 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 05:49:01,329 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-12 05:49:01,342 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 05:49:01,354 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 05:49:01,366 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-12 05:49:01,378 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-12 05:49:01,390 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-12 05:49:01,402 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-12 05:49:01,414 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-12 05:49:01,426 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 05:49:01,438 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 05:49:01,451 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 05:49:01,463 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 05:49:01,475 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 05:49:01,488 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 05:49:32,684 semantic_segmentation INFO: Iters: 16010/50000 || Lr: 0.014131 || Task Loss: 0.1029 || KD Loss: 0.0307|| 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: 13:59:52 || Estimated Time: 1 day, 5:43:04
2023-07-12 05:50:03,606 semantic_segmentation INFO: Iters: 16020/50000 || Lr: 0.014128 || Task Loss: 0.1132 || KD Loss: 0.0262|| 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: 14:00:23 || Estimated Time: 1 day, 5:42:31
2023-07-12 05:50:34,487 semantic_segmentation INFO: Iters: 16030/50000 || Lr: 0.014124 || Task Loss: 0.1120 || KD Loss: 0.0338|| 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: 14:00:54 || Estimated Time: 1 day, 5:41:59
2023-07-12 05:51:05,400 semantic_segmentation INFO: Iters: 16040/50000 || Lr: 0.014120 || Task Loss: 0.1154 || 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: 14:01:25 || Estimated Time: 1 day, 5:41:26
2023-07-12 05:51:36,293 semantic_segmentation INFO: Iters: 16050/50000 || Lr: 0.014116 || Task Loss: 0.1022 || KD Loss: 0.0275|| 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: 14:01:56 || Estimated Time: 1 day, 5:40:53
2023-07-12 05:52:07,240 semantic_segmentation INFO: Iters: 16060/50000 || Lr: 0.014113 || Task Loss: 0.1012 || 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: 14:02:27 || Estimated Time: 1 day, 5:40:21
2023-07-12 05:52:38,105 semantic_segmentation INFO: Iters: 16070/50000 || Lr: 0.014109 || Task Loss: 0.1019 || KD Loss: 0.0269|| 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: 14:02:58 || Estimated Time: 1 day, 5:39:48
2023-07-12 05:53:09,013 semantic_segmentation INFO: Iters: 16080/50000 || Lr: 0.014105 || Task Loss: 0.1316 || KD Loss: 0.0379|| 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: 14:03:29 || Estimated Time: 1 day, 5:39:15
2023-07-12 05:53:39,929 semantic_segmentation INFO: Iters: 16090/50000 || Lr: 0.014101 || Task Loss: 0.1010 || KD Loss: 0.0290|| 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: 14:04:00 || Estimated Time: 1 day, 5:38:43
2023-07-12 05:54:10,799 semantic_segmentation INFO: Iters: 16100/50000 || Lr: 0.014098 || Task Loss: 0.1020 || KD Loss: 0.0290|| 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: 14:04:31 || Estimated Time: 1 day, 5:38:10
2023-07-12 05:54:41,700 semantic_segmentation INFO: Iters: 16110/50000 || Lr: 0.014094 || Task Loss: 0.1020 || 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: 14:05:01 || Estimated Time: 1 day, 5:37:37
2023-07-12 05:55:12,584 semantic_segmentation INFO: Iters: 16120/50000 || Lr: 0.014090 || Task Loss: 0.0988 || KD Loss: 0.0278|| 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: 14:05:32 || Estimated Time: 1 day, 5:37:04
2023-07-12 05:55:43,521 semantic_segmentation INFO: Iters: 16130/50000 || Lr: 0.014086 || Task Loss: 0.1100 || KD Loss: 0.0329|| 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: 14:06:03 || Estimated Time: 1 day, 5:36:32
2023-07-12 05:56:14,444 semantic_segmentation INFO: Iters: 16140/50000 || Lr: 0.014083 || Task Loss: 0.1209 || KD Loss: 0.0283|| 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: 14:06:34 || Estimated Time: 1 day, 5:35:59
2023-07-12 05:56:45,351 semantic_segmentation INFO: Iters: 16150/50000 || Lr: 0.014079 || Task Loss: 0.1265 || KD Loss: 0.0285|| 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: 14:07:05 || Estimated Time: 1 day, 5:35:27
2023-07-12 05:57:16,288 semantic_segmentation INFO: Iters: 16160/50000 || Lr: 0.014075 || Task Loss: 0.1097 || KD Loss: 0.0319|| 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: 14:07:36 || Estimated Time: 1 day, 5:34:54
2023-07-12 05:57:47,219 semantic_segmentation INFO: Iters: 16170/50000 || Lr: 0.014071 || Task Loss: 0.1077 || KD Loss: 0.0300|| 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: 14:08:07 || Estimated Time: 1 day, 5:34:21
2023-07-12 05:58:18,171 semantic_segmentation INFO: Iters: 16180/50000 || Lr: 0.014068 || Task Loss: 0.1150 || KD Loss: 0.0343|| 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: 14:08:38 || Estimated Time: 1 day, 5:33:49
2023-07-12 05:58:49,094 semantic_segmentation INFO: Iters: 16190/50000 || Lr: 0.014064 || Task Loss: 0.1007 || 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: 14:09:09 || Estimated Time: 1 day, 5:33:16
2023-07-12 05:59:19,976 semantic_segmentation INFO: Iters: 16200/50000 || Lr: 0.014060 || Task Loss: 0.1187 || KD Loss: 0.0314|| 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: 14:09:40 || Estimated Time: 1 day, 5:32:43
2023-07-12 05:59:50,900 semantic_segmentation INFO: Iters: 16210/50000 || Lr: 0.014057 || Task Loss: 0.1065 || KD Loss: 0.0259|| 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: 14:10:11 || Estimated Time: 1 day, 5:32:11
2023-07-12 06:00:21,808 semantic_segmentation INFO: Iters: 16220/50000 || Lr: 0.014053 || Task Loss: 0.1039 || KD Loss: 0.0342|| 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: 14:10:42 || Estimated Time: 1 day, 5:31:38
2023-07-12 06:00:52,704 semantic_segmentation INFO: Iters: 16230/50000 || Lr: 0.014049 || Task Loss: 0.1249 || KD Loss: 0.0319|| 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: 14:11:12 || Estimated Time: 1 day, 5:31:06
2023-07-12 06:01:23,665 semantic_segmentation INFO: Iters: 16240/50000 || Lr: 0.014045 || Task Loss: 0.1028 || KD Loss: 0.0323|| 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: 14:11:43 || Estimated Time: 1 day, 5:30:33
2023-07-12 06:01:54,583 semantic_segmentation INFO: Iters: 16250/50000 || Lr: 0.014042 || Task Loss: 0.1103 || KD Loss: 0.0300|| 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: 14:12:14 || Estimated Time: 1 day, 5:30:00
2023-07-12 06:02:25,465 semantic_segmentation INFO: Iters: 16260/50000 || Lr: 0.014038 || Task Loss: 0.1109 || KD Loss: 0.0255|| 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: 14:12:45 || Estimated Time: 1 day, 5:29:28
2023-07-12 06:02:56,370 semantic_segmentation INFO: Iters: 16270/50000 || Lr: 0.014034 || Task Loss: 0.1000 || 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: 14:13:16 || Estimated Time: 1 day, 5:28:55
2023-07-12 06:03:27,298 semantic_segmentation INFO: Iters: 16280/50000 || Lr: 0.014030 || Task Loss: 0.0994 || 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: 14:13:47 || Estimated Time: 1 day, 5:28:23
2023-07-12 06:03:58,216 semantic_segmentation INFO: Iters: 16290/50000 || Lr: 0.014027 || Task Loss: 0.0980 || KD Loss: 0.0335|| 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: 14:14:18 || Estimated Time: 1 day, 5:27:50
2023-07-12 06:04:29,112 semantic_segmentation INFO: Iters: 16300/50000 || Lr: 0.014023 || Task Loss: 0.1033 || KD Loss: 0.0288|| 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: 14:14:49 || Estimated Time: 1 day, 5:27:17
2023-07-12 06:05:00,014 semantic_segmentation INFO: Iters: 16310/50000 || Lr: 0.014019 || Task Loss: 0.0967 || KD Loss: 0.0273|| 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: 14:15:20 || Estimated Time: 1 day, 5:26:45
2023-07-12 06:05:30,913 semantic_segmentation INFO: Iters: 16320/50000 || Lr: 0.014015 || Task Loss: 0.1186 || KD Loss: 0.0307|| 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: 14:15:51 || Estimated Time: 1 day, 5:26:12
2023-07-12 06:06:01,853 semantic_segmentation INFO: Iters: 16330/50000 || Lr: 0.014012 || Task Loss: 0.0957 || 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: 14:16:22 || Estimated Time: 1 day, 5:25:40
2023-07-12 06:06:32,678 semantic_segmentation INFO: Iters: 16340/50000 || Lr: 0.014008 || Task Loss: 0.1183 || 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: 14:16:52 || Estimated Time: 1 day, 5:25:07
2023-07-12 06:07:03,520 semantic_segmentation INFO: Iters: 16350/50000 || Lr: 0.014004 || Task Loss: 0.1035 || KD Loss: 0.0264|| 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: 14:17:23 || Estimated Time: 1 day, 5:24:34
2023-07-12 06:07:34,326 semantic_segmentation INFO: Iters: 16360/50000 || Lr: 0.014000 || Task Loss: 0.1002 || KD Loss: 0.0299|| 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: 14:17:54 || Estimated Time: 1 day, 5:24:01
2023-07-12 06:08:05,165 semantic_segmentation INFO: Iters: 16370/50000 || Lr: 0.013997 || Task Loss: 0.1156 || KD Loss: 0.0262|| 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: 14:18:25 || Estimated Time: 1 day, 5:23:28
2023-07-12 06:08:36,026 semantic_segmentation INFO: Iters: 16380/50000 || Lr: 0.013993 || Task Loss: 0.1084 || KD Loss: 0.0281|| 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: 14:18:56 || Estimated Time: 1 day, 5:22:56
2023-07-12 06:09:06,901 semantic_segmentation INFO: Iters: 16390/50000 || Lr: 0.013989 || Task Loss: 0.1252 || KD Loss: 0.0269|| 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: 14:19:27 || Estimated Time: 1 day, 5:22:23
2023-07-12 06:09:37,769 semantic_segmentation INFO: Iters: 16400/50000 || Lr: 0.013985 || Task Loss: 0.1281 || KD Loss: 0.0352|| 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: 14:19:58 || Estimated Time: 1 day, 5:21:50
2023-07-12 06:10:08,635 semantic_segmentation INFO: Iters: 16410/50000 || Lr: 0.013982 || Task Loss: 0.0904 || KD Loss: 0.0290|| 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: 14:20:28 || Estimated Time: 1 day, 5:21:18
2023-07-12 06:10:39,535 semantic_segmentation INFO: Iters: 16420/50000 || Lr: 0.013978 || Task Loss: 0.1067 || KD Loss: 0.0308|| 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: 14:20:59 || Estimated Time: 1 day, 5:20:45
2023-07-12 06:11:10,429 semantic_segmentation INFO: Iters: 16430/50000 || Lr: 0.013974 || Task Loss: 0.1234 || KD Loss: 0.0309|| 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: 14:21:30 || Estimated Time: 1 day, 5:20:13
2023-07-12 06:11:41,356 semantic_segmentation INFO: Iters: 16440/50000 || Lr: 0.013970 || Task Loss: 0.0959 || KD Loss: 0.0317|| 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: 14:22:01 || Estimated Time: 1 day, 5:19:40
2023-07-12 06:12:12,271 semantic_segmentation INFO: Iters: 16450/50000 || Lr: 0.013967 || Task Loss: 0.1060 || KD Loss: 0.0251|| 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: 14:22:32 || Estimated Time: 1 day, 5:19:07
2023-07-12 06:12:43,176 semantic_segmentation INFO: Iters: 16460/50000 || Lr: 0.013963 || Task Loss: 0.0970 || KD Loss: 0.0310|| 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: 14:23:03 || Estimated Time: 1 day, 5:18:35
2023-07-12 06:13:14,093 semantic_segmentation INFO: Iters: 16470/50000 || Lr: 0.013959 || Task Loss: 0.1093 || 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: 14:23:34 || Estimated Time: 1 day, 5:18:02
2023-07-12 06:13:44,969 semantic_segmentation INFO: Iters: 16480/50000 || Lr: 0.013955 || Task Loss: 0.0949 || KD Loss: 0.0291|| 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: 14:24:05 || Estimated Time: 1 day, 5:17:30
2023-07-12 06:14:15,838 semantic_segmentation INFO: Iters: 16490/50000 || Lr: 0.013952 || Task Loss: 0.0942 || KD Loss: 0.0304|| 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: 14:24:36 || Estimated Time: 1 day, 5:16:57
2023-07-12 06:14:46,720 semantic_segmentation INFO: Iters: 16500/50000 || Lr: 0.013948 || Task Loss: 0.0988 || KD Loss: 0.0313|| 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: 14:25:06 || Estimated Time: 1 day, 5:16:24
2023-07-12 06:15:17,606 semantic_segmentation INFO: Iters: 16510/50000 || Lr: 0.013944 || Task Loss: 0.1167 || KD Loss: 0.0280|| 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: 14:25:37 || Estimated Time: 1 day, 5:15:52
2023-07-12 06:15:48,497 semantic_segmentation INFO: Iters: 16520/50000 || Lr: 0.013940 || Task Loss: 0.1285 || KD Loss: 0.0358|| 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: 14:26:08 || Estimated Time: 1 day, 5:15:19
2023-07-12 06:16:19,384 semantic_segmentation INFO: Iters: 16530/50000 || Lr: 0.013937 || Task Loss: 0.0909 || KD Loss: 0.0263|| 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: 14:26:39 || Estimated Time: 1 day, 5:14:46
2023-07-12 06:16:50,256 semantic_segmentation INFO: Iters: 16540/50000 || Lr: 0.013933 || Task Loss: 0.1015 || KD Loss: 0.0291|| 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: 14:27:10 || Estimated Time: 1 day, 5:14:14
2023-07-12 06:17:21,149 semantic_segmentation INFO: Iters: 16550/50000 || Lr: 0.013929 || Task Loss: 0.1018 || KD Loss: 0.0280|| 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: 14:27:41 || Estimated Time: 1 day, 5:13:41
2023-07-12 06:17:52,035 semantic_segmentation INFO: Iters: 16560/50000 || Lr: 0.013925 || Task Loss: 0.1107 || KD Loss: 0.0248|| 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: 14:28:12 || Estimated Time: 1 day, 5:13:09
2023-07-12 06:18:22,892 semantic_segmentation INFO: Iters: 16570/50000 || Lr: 0.013922 || Task Loss: 0.0969 || 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: 14:28:43 || Estimated Time: 1 day, 5:12:36
2023-07-12 06:18:53,791 semantic_segmentation INFO: Iters: 16580/50000 || Lr: 0.013918 || Task Loss: 0.1162 || KD Loss: 0.0363|| 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: 14:29:14 || Estimated Time: 1 day, 5:12:03
2023-07-12 06:19:24,678 semantic_segmentation INFO: Iters: 16590/50000 || Lr: 0.013914 || Task Loss: 0.1052 || KD Loss: 0.0327|| 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: 14:29:44 || Estimated Time: 1 day, 5:11:31
2023-07-12 06:19:55,577 semantic_segmentation INFO: Iters: 16600/50000 || Lr: 0.013910 || Task Loss: 0.1000 || KD Loss: 0.0287|| 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: 14:30:15 || Estimated Time: 1 day, 5:10:58
2023-07-12 06:20:26,465 semantic_segmentation INFO: Iters: 16610/50000 || Lr: 0.013907 || Task Loss: 0.1123 || KD Loss: 0.0270|| 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: 14:30:46 || Estimated Time: 1 day, 5:10:26
2023-07-12 06:20:57,381 semantic_segmentation INFO: Iters: 16620/50000 || Lr: 0.013903 || Task Loss: 0.1119 || KD Loss: 0.0329|| 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: 14:31:17 || Estimated Time: 1 day, 5:09:53
2023-07-12 06:21:28,284 semantic_segmentation INFO: Iters: 16630/50000 || Lr: 0.013899 || Task Loss: 0.0963 || KD Loss: 0.0273|| 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: 14:31:48 || Estimated Time: 1 day, 5:09:21
2023-07-12 06:21:59,178 semantic_segmentation INFO: Iters: 16640/50000 || Lr: 0.013895 || Task Loss: 0.0969 || KD Loss: 0.0241|| 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: 14:32:19 || Estimated Time: 1 day, 5:08:48
2023-07-12 06:22:30,096 semantic_segmentation INFO: Iters: 16650/50000 || Lr: 0.013892 || Task Loss: 0.0960 || KD Loss: 0.0373|| 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: 14:32:50 || Estimated Time: 1 day, 5:08:15
2023-07-12 06:23:01,045 semantic_segmentation INFO: Iters: 16660/50000 || Lr: 0.013888 || Task Loss: 0.1153 || KD Loss: 0.0293|| 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: 14:33:21 || Estimated Time: 1 day, 5:07:43
2023-07-12 06:23:31,948 semantic_segmentation INFO: Iters: 16670/50000 || Lr: 0.013884 || Task Loss: 0.1111 || KD Loss: 0.0350|| 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: 14:33:52 || Estimated Time: 1 day, 5:07:10
2023-07-12 06:24:02,860 semantic_segmentation INFO: Iters: 16680/50000 || Lr: 0.013880 || Task Loss: 0.1031 || KD Loss: 0.0248|| 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: 14:34:23 || Estimated Time: 1 day, 5:06:38
2023-07-12 06:24:33,767 semantic_segmentation INFO: Iters: 16690/50000 || Lr: 0.013877 || Task Loss: 0.1037 || KD Loss: 0.0363|| 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: 14:34:54 || Estimated Time: 1 day, 5:06:05
2023-07-12 06:25:04,700 semantic_segmentation INFO: Iters: 16700/50000 || Lr: 0.013873 || Task Loss: 0.1007 || 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: 14:35:24 || Estimated Time: 1 day, 5:05:33
2023-07-12 06:25:35,629 semantic_segmentation INFO: Iters: 16710/50000 || Lr: 0.013869 || Task Loss: 0.0960 || KD Loss: 0.0276|| 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: 14:35:55 || Estimated Time: 1 day, 5:05:00
2023-07-12 06:26:06,566 semantic_segmentation INFO: Iters: 16720/50000 || Lr: 0.013865 || Task Loss: 0.1057 || KD Loss: 0.0333|| 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: 14:36:26 || Estimated Time: 1 day, 5:04:28
2023-07-12 06:26:37,495 semantic_segmentation INFO: Iters: 16730/50000 || Lr: 0.013862 || Task Loss: 0.1038 || KD Loss: 0.0326|| 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: 14:36:57 || Estimated Time: 1 day, 5:03:55
2023-07-12 06:27:08,413 semantic_segmentation INFO: Iters: 16740/50000 || Lr: 0.013858 || Task Loss: 0.1164 || KD Loss: 0.0348|| 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: 14:37:28 || Estimated Time: 1 day, 5:03:23
2023-07-12 06:27:39,345 semantic_segmentation INFO: Iters: 16750/50000 || Lr: 0.013854 || Task Loss: 0.1117 || 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: 14:37:59 || Estimated Time: 1 day, 5:02:50
2023-07-12 06:28:10,244 semantic_segmentation INFO: Iters: 16760/50000 || Lr: 0.013850 || Task Loss: 0.0916 || 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: 14:38:30 || Estimated Time: 1 day, 5:02:18
2023-07-12 06:28:41,196 semantic_segmentation INFO: Iters: 16770/50000 || Lr: 0.013847 || Task Loss: 0.1093 || KD Loss: 0.0291|| 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: 14:39:01 || Estimated Time: 1 day, 5:01:45
2023-07-12 06:29:12,125 semantic_segmentation INFO: Iters: 16780/50000 || Lr: 0.013843 || Task Loss: 0.0983 || KD Loss: 0.0325|| 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: 14:39:32 || Estimated Time: 1 day, 5:01:13
2023-07-12 06:29:43,044 semantic_segmentation INFO: Iters: 16790/50000 || Lr: 0.013839 || Task Loss: 0.1025 || KD Loss: 0.0331|| 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: 14:40:03 || Estimated Time: 1 day, 5:00:40
2023-07-12 06:30:13,970 semantic_segmentation INFO: Iters: 16800/50000 || Lr: 0.013835 || Task Loss: 0.1049 || 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: 14:40:34 || Estimated Time: 1 day, 5:00:08
2023-07-12 06:30:14,066 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 06:30:14,250 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.732
2023-07-12 06:30:14,276 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.731
2023-07-12 06:30:14,290 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 06:30:14,304 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.726
2023-07-12 06:30:14,316 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.723
2023-07-12 06:30:14,328 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.723
2023-07-12 06:30:14,340 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.723
2023-07-12 06:30:14,353 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.723
2023-07-12 06:30:14,365 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.721
2023-07-12 06:30:14,378 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.720
2023-07-12 06:30:14,390 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.722
2023-07-12 06:30:14,403 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.721
2023-07-12 06:30:14,415 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.724
2023-07-12 06:30:14,427 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.727
2023-07-12 06:30:14,440 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 06:30:14,452 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.731
2023-07-12 06:30:14,464 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 06:30:14,477 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 06:30:14,489 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 06:30:14,502 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.731
2023-07-12 06:30:14,514 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 06:30:14,526 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 06:30:14,539 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 06:30:14,552 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 06:30:14,565 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 06:30:14,577 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 06:30:14,590 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 06:30:14,603 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 06:30:14,615 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 06:30:14,628 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 06:30:14,640 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 06:30:14,653 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 06:30:14,665 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 06:30:14,678 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 06:30:14,691 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 06:30:14,703 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.736
2023-07-12 06:30:14,716 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 06:30:14,728 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 06:30:14,741 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 06:30:14,753 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 06:30:14,766 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 06:30:14,778 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 06:30:14,791 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 06:30:14,803 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 06:30:14,815 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 06:30:14,827 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 06:30:14,840 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 06:30:14,852 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 06:30:14,864 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 06:30:14,876 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 06:30:14,889 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 06:30:14,901 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 06:30:14,913 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 06:30:14,925 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 06:30:14,937 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 06:30:14,950 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 06:30:14,962 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 06:30:14,975 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.751
2023-07-12 06:30:14,988 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 06:30:15,000 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 06:30:15,013 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 06:30:15,026 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 06:30:15,039 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 06:30:15,051 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 06:30:15,064 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 06:30:15,076 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 06:30:15,089 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.758
2023-07-12 06:30:15,102 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-12 06:30:15,115 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 06:30:15,127 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 06:30:15,140 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-12 06:30:15,153 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 06:30:15,165 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 06:30:15,177 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 06:30:15,190 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 06:30:15,202 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 06:30:15,214 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 06:30:15,226 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 06:30:15,237 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 06:30:15,249 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 06:30:15,261 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 06:30:15,273 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 06:30:15,286 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 06:30:15,297 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 06:30:15,309 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 06:30:15,321 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 06:30:15,333 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 06:30:15,345 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 06:30:15,357 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 06:30:15,369 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 06:30:15,381 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 06:30:15,393 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 06:30:15,405 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 06:30:15,417 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 06:30:15,430 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 06:30:15,442 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 06:30:15,454 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 06:30:15,466 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 06:30:15,478 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 06:30:15,490 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 06:30:15,502 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 06:30:46,786 semantic_segmentation INFO: Iters: 16810/50000 || Lr: 0.013832 || Task Loss: 0.0974 || KD Loss: 0.0329|| 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: 14:41:07 || Estimated Time: 1 day, 4:59:39
2023-07-12 06:31:17,661 semantic_segmentation INFO: Iters: 16820/50000 || Lr: 0.013828 || Task Loss: 0.0880 || KD Loss: 0.0239|| 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: 14:41:37 || Estimated Time: 1 day, 4:59:07
2023-07-12 06:31:48,590 semantic_segmentation INFO: Iters: 16830/50000 || Lr: 0.013824 || Task Loss: 0.1145 || KD Loss: 0.0278|| 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: 14:42:08 || Estimated Time: 1 day, 4:58:34
2023-07-12 06:32:19,489 semantic_segmentation INFO: Iters: 16840/50000 || Lr: 0.013820 || Task Loss: 0.1199 || KD Loss: 0.0328|| 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: 14:42:39 || Estimated Time: 1 day, 4:58:02
2023-07-12 06:32:50,414 semantic_segmentation INFO: Iters: 16850/50000 || Lr: 0.013817 || Task Loss: 0.1048 || 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: 14:43:10 || Estimated Time: 1 day, 4:57:29
2023-07-12 06:33:21,330 semantic_segmentation INFO: Iters: 16860/50000 || Lr: 0.013813 || Task Loss: 0.1147 || KD Loss: 0.0352|| 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: 14:43:41 || Estimated Time: 1 day, 4:56:57
2023-07-12 06:33:52,233 semantic_segmentation INFO: Iters: 16870/50000 || Lr: 0.013809 || Task Loss: 0.1085 || KD Loss: 0.0308|| 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: 14:44:12 || Estimated Time: 1 day, 4:56:24
2023-07-12 06:34:23,132 semantic_segmentation INFO: Iters: 16880/50000 || Lr: 0.013805 || Task Loss: 0.1020 || KD Loss: 0.0321|| 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: 14:44:43 || Estimated Time: 1 day, 4:55:52
2023-07-12 06:34:54,056 semantic_segmentation INFO: Iters: 16890/50000 || Lr: 0.013802 || Task Loss: 0.1186 || KD Loss: 0.0357|| 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: 14:45:14 || Estimated Time: 1 day, 4:55:19
2023-07-12 06:35:24,942 semantic_segmentation INFO: Iters: 16900/50000 || Lr: 0.013798 || Task Loss: 0.1158 || KD Loss: 0.0322|| 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: 14:45:45 || Estimated Time: 1 day, 4:54:47
2023-07-12 06:35:55,849 semantic_segmentation INFO: Iters: 16910/50000 || Lr: 0.013794 || Task Loss: 0.1077 || 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: 14:46:16 || Estimated Time: 1 day, 4:54:14
2023-07-12 06:36:26,717 semantic_segmentation INFO: Iters: 16920/50000 || Lr: 0.013790 || Task Loss: 0.1081 || KD Loss: 0.0276|| 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: 14:46:46 || Estimated Time: 1 day, 4:53:42
2023-07-12 06:36:57,612 semantic_segmentation INFO: Iters: 16930/50000 || Lr: 0.013787 || Task Loss: 0.1026 || KD Loss: 0.0337|| 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: 14:47:17 || Estimated Time: 1 day, 4:53:09
2023-07-12 06:37:28,527 semantic_segmentation INFO: Iters: 16940/50000 || Lr: 0.013783 || Task Loss: 0.1064 || 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: 14:47:48 || Estimated Time: 1 day, 4:52:37
2023-07-12 06:37:59,415 semantic_segmentation INFO: Iters: 16950/50000 || Lr: 0.013779 || Task Loss: 0.0858 || KD Loss: 0.0322|| 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: 14:48:19 || Estimated Time: 1 day, 4:52:04
2023-07-12 06:38:30,350 semantic_segmentation INFO: Iters: 16960/50000 || Lr: 0.013775 || Task Loss: 0.1023 || KD Loss: 0.0344|| 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: 14:48:50 || Estimated Time: 1 day, 4:51:32
2023-07-12 06:39:01,277 semantic_segmentation INFO: Iters: 16970/50000 || Lr: 0.013772 || Task Loss: 0.0992 || KD Loss: 0.0326|| 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: 14:49:21 || Estimated Time: 1 day, 4:50:59
2023-07-12 06:39:32,205 semantic_segmentation INFO: Iters: 16980/50000 || Lr: 0.013768 || Task Loss: 0.1018 || KD Loss: 0.0265|| 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: 14:49:52 || Estimated Time: 1 day, 4:50:27
2023-07-12 06:40:03,096 semantic_segmentation INFO: Iters: 16990/50000 || Lr: 0.013764 || Task Loss: 0.1212 || KD Loss: 0.0335|| 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: 14:50:23 || Estimated Time: 1 day, 4:49:54
2023-07-12 06:40:34,037 semantic_segmentation INFO: Iters: 17000/50000 || Lr: 0.013760 || Task Loss: 0.0935 || KD Loss: 0.0246|| 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: 14:50:54 || Estimated Time: 1 day, 4:49:22
2023-07-12 06:41:04,966 semantic_segmentation INFO: Iters: 17010/50000 || Lr: 0.013757 || Task Loss: 0.1133 || KD Loss: 0.0276|| 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: 14:51:25 || Estimated Time: 1 day, 4:48:49
2023-07-12 06:41:35,899 semantic_segmentation INFO: Iters: 17020/50000 || Lr: 0.013753 || Task Loss: 0.0936 || KD Loss: 0.0269|| 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: 14:51:56 || Estimated Time: 1 day, 4:48:17
2023-07-12 06:42:06,829 semantic_segmentation INFO: Iters: 17030/50000 || Lr: 0.013749 || Task Loss: 0.0936 || KD Loss: 0.0306|| 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: 14:52:27 || Estimated Time: 1 day, 4:47:44
2023-07-12 06:42:37,719 semantic_segmentation INFO: Iters: 17040/50000 || Lr: 0.013745 || Task Loss: 0.1014 || KD Loss: 0.0288|| 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: 14:52:57 || Estimated Time: 1 day, 4:47:12
2023-07-12 06:43:08,664 semantic_segmentation INFO: Iters: 17050/50000 || Lr: 0.013742 || Task Loss: 0.1114 || KD Loss: 0.0279|| 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: 14:53:28 || Estimated Time: 1 day, 4:46:39
2023-07-12 06:43:39,571 semantic_segmentation INFO: Iters: 17060/50000 || Lr: 0.013738 || Task Loss: 0.1233 || KD Loss: 0.0314|| 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: 14:53:59 || Estimated Time: 1 day, 4:46:07
2023-07-12 06:44:10,504 semantic_segmentation INFO: Iters: 17070/50000 || Lr: 0.013734 || Task Loss: 0.1280 || KD Loss: 0.0377|| 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: 14:54:30 || Estimated Time: 1 day, 4:45:35
2023-07-12 06:44:41,453 semantic_segmentation INFO: Iters: 17080/50000 || Lr: 0.013730 || Task Loss: 0.1055 || KD Loss: 0.0301|| 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: 14:55:01 || Estimated Time: 1 day, 4:45:02
2023-07-12 06:45:12,386 semantic_segmentation INFO: Iters: 17090/50000 || Lr: 0.013727 || Task Loss: 0.1326 || KD Loss: 0.0325|| 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: 14:55:32 || Estimated Time: 1 day, 4:44:30
2023-07-12 06:45:43,327 semantic_segmentation INFO: Iters: 17100/50000 || Lr: 0.013723 || Task Loss: 0.1308 || KD Loss: 0.0365|| 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: 14:56:03 || Estimated Time: 1 day, 4:43:57
2023-07-12 06:46:14,234 semantic_segmentation INFO: Iters: 17110/50000 || Lr: 0.013719 || Task Loss: 0.1356 || KD Loss: 0.0416|| 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: 14:56:34 || Estimated Time: 1 day, 4:43:25
2023-07-12 06:46:45,134 semantic_segmentation INFO: Iters: 17120/50000 || Lr: 0.013715 || Task Loss: 0.1624 || KD Loss: 0.0458|| 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: 14:57:05 || Estimated Time: 1 day, 4:42:52
2023-07-12 06:47:16,026 semantic_segmentation INFO: Iters: 17130/50000 || Lr: 0.013712 || Task Loss: 0.1340 || KD Loss: 0.0434|| 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: 14:57:36 || Estimated Time: 1 day, 4:42:20
2023-07-12 06:47:46,931 semantic_segmentation INFO: Iters: 17140/50000 || Lr: 0.013708 || Task Loss: 0.1548 || KD Loss: 0.0432|| 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: 14:58:07 || Estimated Time: 1 day, 4:41:48
2023-07-12 06:48:17,823 semantic_segmentation INFO: Iters: 17150/50000 || Lr: 0.013704 || Task Loss: 0.1317 || KD Loss: 0.0366|| 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: 14:58:38 || Estimated Time: 1 day, 4:41:15
2023-07-12 06:48:48,745 semantic_segmentation INFO: Iters: 17160/50000 || Lr: 0.013700 || Task Loss: 0.1453 || KD Loss: 0.0406|| 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: 14:59:09 || Estimated Time: 1 day, 4:40:43
2023-07-12 06:49:19,690 semantic_segmentation INFO: Iters: 17170/50000 || Lr: 0.013697 || Task Loss: 0.1121 || KD Loss: 0.0346|| 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: 14:59:39 || Estimated Time: 1 day, 4:40:10
2023-07-12 06:49:50,558 semantic_segmentation INFO: Iters: 17180/50000 || Lr: 0.013693 || Task Loss: 0.1213 || KD Loss: 0.0328|| 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: 15:00:10 || Estimated Time: 1 day, 4:39:38
2023-07-12 06:50:21,462 semantic_segmentation INFO: Iters: 17190/50000 || Lr: 0.013689 || Task Loss: 0.1025 || 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: 15:00:41 || Estimated Time: 1 day, 4:39:05
2023-07-12 06:50:52,376 semantic_segmentation INFO: Iters: 17200/50000 || Lr: 0.013685 || Task Loss: 0.1184 || KD Loss: 0.0294|| 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: 15:01:12 || Estimated Time: 1 day, 4:38:33
2023-07-12 06:51:23,275 semantic_segmentation INFO: Iters: 17210/50000 || Lr: 0.013682 || Task Loss: 0.1070 || KD Loss: 0.0295|| 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: 15:01:43 || Estimated Time: 1 day, 4:38:00
2023-07-12 06:51:54,138 semantic_segmentation INFO: Iters: 17220/50000 || Lr: 0.013678 || Task Loss: 0.1075 || KD Loss: 0.0316|| 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: 15:02:14 || Estimated Time: 1 day, 4:37:28
2023-07-12 06:52:24,984 semantic_segmentation INFO: Iters: 17230/50000 || Lr: 0.013674 || Task Loss: 0.1057 || KD Loss: 0.0310|| 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: 15:02:45 || Estimated Time: 1 day, 4:36:55
2023-07-12 06:52:55,836 semantic_segmentation INFO: Iters: 17240/50000 || Lr: 0.013670 || Task Loss: 0.1090 || KD Loss: 0.0338|| 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: 15:03:16 || Estimated Time: 1 day, 4:36:23
2023-07-12 06:53:26,745 semantic_segmentation INFO: Iters: 17250/50000 || Lr: 0.013667 || Task Loss: 0.1247 || KD Loss: 0.0312|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0798|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:03:47 || Estimated Time: 1 day, 4:35:50
2023-07-12 06:53:57,645 semantic_segmentation INFO: Iters: 17260/50000 || Lr: 0.013663 || Task Loss: 0.1064 || KD Loss: 0.0294|| 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: 15:04:17 || Estimated Time: 1 day, 4:35:18
2023-07-12 06:54:28,557 semantic_segmentation INFO: Iters: 17270/50000 || Lr: 0.013659 || Task Loss: 0.1327 || KD Loss: 0.0330|| 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: 15:04:48 || Estimated Time: 1 day, 4:34:45
2023-07-12 06:54:59,473 semantic_segmentation INFO: Iters: 17280/50000 || Lr: 0.013655 || Task Loss: 0.1069 || KD Loss: 0.0311|| 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: 15:05:19 || Estimated Time: 1 day, 4:34:13
2023-07-12 06:55:30,388 semantic_segmentation INFO: Iters: 17290/50000 || Lr: 0.013652 || Task Loss: 0.1283 || KD Loss: 0.0387|| 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: 15:05:50 || Estimated Time: 1 day, 4:33:41
2023-07-12 06:56:01,290 semantic_segmentation INFO: Iters: 17300/50000 || Lr: 0.013648 || Task Loss: 0.0980 || 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: 15:06:21 || Estimated Time: 1 day, 4:33:08
2023-07-12 06:56:32,170 semantic_segmentation INFO: Iters: 17310/50000 || Lr: 0.013644 || Task Loss: 0.0991 || KD Loss: 0.0314|| 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: 15:06:52 || Estimated Time: 1 day, 4:32:36
2023-07-12 06:57:03,072 semantic_segmentation INFO: Iters: 17320/50000 || Lr: 0.013640 || Task Loss: 0.1199 || KD Loss: 0.0329|| 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: 15:07:23 || Estimated Time: 1 day, 4:32:03
2023-07-12 06:57:33,964 semantic_segmentation INFO: Iters: 17330/50000 || Lr: 0.013637 || Task Loss: 0.1036 || KD Loss: 0.0336|| 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: 15:07:54 || Estimated Time: 1 day, 4:31:31
2023-07-12 06:58:04,881 semantic_segmentation INFO: Iters: 17340/50000 || Lr: 0.013633 || Task Loss: 0.1124 || KD Loss: 0.0311|| 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: 15:08:25 || Estimated Time: 1 day, 4:30:58
2023-07-12 06:58:35,760 semantic_segmentation INFO: Iters: 17350/50000 || Lr: 0.013629 || Task Loss: 0.1169 || KD Loss: 0.0273|| 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: 15:08:56 || Estimated Time: 1 day, 4:30:26
2023-07-12 06:59:06,682 semantic_segmentation INFO: Iters: 17360/50000 || Lr: 0.013625 || Task Loss: 0.1075 || 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: 15:09:26 || Estimated Time: 1 day, 4:29:53
2023-07-12 06:59:37,548 semantic_segmentation INFO: Iters: 17370/50000 || Lr: 0.013621 || Task Loss: 0.0964 || KD Loss: 0.0260|| 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: 15:09:57 || Estimated Time: 1 day, 4:29:21
2023-07-12 07:00:08,511 semantic_segmentation INFO: Iters: 17380/50000 || Lr: 0.013618 || Task Loss: 0.1051 || KD Loss: 0.0294|| 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: 15:10:28 || Estimated Time: 1 day, 4:28:49
2023-07-12 07:00:39,403 semantic_segmentation INFO: Iters: 17390/50000 || Lr: 0.013614 || Task Loss: 0.1061 || KD Loss: 0.0294|| 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: 15:10:59 || Estimated Time: 1 day, 4:28:16
2023-07-12 07:01:10,338 semantic_segmentation INFO: Iters: 17400/50000 || Lr: 0.013610 || Task Loss: 0.1365 || KD Loss: 0.0291|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0757|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:11:30 || Estimated Time: 1 day, 4:27:44
2023-07-12 07:01:41,232 semantic_segmentation INFO: Iters: 17410/50000 || Lr: 0.013606 || Task Loss: 0.1000 || KD Loss: 0.0318|| 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: 15:12:01 || Estimated Time: 1 day, 4:27:11
2023-07-12 07:02:12,123 semantic_segmentation INFO: Iters: 17420/50000 || Lr: 0.013603 || Task Loss: 0.1083 || 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: 15:12:32 || Estimated Time: 1 day, 4:26:39
2023-07-12 07:02:43,014 semantic_segmentation INFO: Iters: 17430/50000 || Lr: 0.013599 || Task Loss: 0.1079 || KD Loss: 0.0255|| 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: 15:13:03 || Estimated Time: 1 day, 4:26:07
2023-07-12 07:03:13,912 semantic_segmentation INFO: Iters: 17440/50000 || Lr: 0.013595 || Task Loss: 0.1143 || KD Loss: 0.0260|| 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: 15:13:34 || Estimated Time: 1 day, 4:25:34
2023-07-12 07:03:44,776 semantic_segmentation INFO: Iters: 17450/50000 || Lr: 0.013591 || Task Loss: 0.1002 || KD Loss: 0.0348|| 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: 15:14:05 || Estimated Time: 1 day, 4:25:02
2023-07-12 07:04:15,707 semantic_segmentation INFO: Iters: 17460/50000 || Lr: 0.013588 || Task Loss: 0.0993 || KD Loss: 0.0301|| 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: 15:14:35 || Estimated Time: 1 day, 4:24:29
2023-07-12 07:04:46,616 semantic_segmentation INFO: Iters: 17470/50000 || Lr: 0.013584 || Task Loss: 0.1018 || KD Loss: 0.0280|| 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: 15:15:06 || Estimated Time: 1 day, 4:23:57
2023-07-12 07:05:17,498 semantic_segmentation INFO: Iters: 17480/50000 || Lr: 0.013580 || Task Loss: 0.1131 || KD Loss: 0.0305|| 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: 15:15:37 || Estimated Time: 1 day, 4:23:24
2023-07-12 07:05:48,422 semantic_segmentation INFO: Iters: 17490/50000 || Lr: 0.013576 || Task Loss: 0.1161 || KD Loss: 0.0331|| 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: 15:16:08 || Estimated Time: 1 day, 4:22:52
2023-07-12 07:06:19,378 semantic_segmentation INFO: Iters: 17500/50000 || Lr: 0.013573 || Task Loss: 0.1054 || KD Loss: 0.0327|| 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: 15:16:39 || Estimated Time: 1 day, 4:22:20
2023-07-12 07:06:50,298 semantic_segmentation INFO: Iters: 17510/50000 || Lr: 0.013569 || Task Loss: 0.1248 || 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: 15:17:10 || Estimated Time: 1 day, 4:21:47
2023-07-12 07:07:21,222 semantic_segmentation INFO: Iters: 17520/50000 || Lr: 0.013565 || Task Loss: 0.1203 || KD Loss: 0.0346|| 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: 15:17:41 || Estimated Time: 1 day, 4:21:15
2023-07-12 07:07:52,129 semantic_segmentation INFO: Iters: 17530/50000 || Lr: 0.013561 || Task Loss: 0.0950 || KD Loss: 0.0264|| 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: 15:18:12 || Estimated Time: 1 day, 4:20:43
2023-07-12 07:08:23,039 semantic_segmentation INFO: Iters: 17540/50000 || Lr: 0.013558 || Task Loss: 0.1156 || KD Loss: 0.0297|| 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: 15:18:43 || Estimated Time: 1 day, 4:20:10
2023-07-12 07:08:53,956 semantic_segmentation INFO: Iters: 17550/50000 || Lr: 0.013554 || Task Loss: 0.1159 || KD Loss: 0.0361|| 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: 15:19:14 || Estimated Time: 1 day, 4:19:38
2023-07-12 07:09:24,870 semantic_segmentation INFO: Iters: 17560/50000 || Lr: 0.013550 || Task Loss: 0.1078 || KD Loss: 0.0307|| 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: 15:19:45 || Estimated Time: 1 day, 4:19:06
2023-07-12 07:09:55,790 semantic_segmentation INFO: Iters: 17570/50000 || Lr: 0.013546 || Task Loss: 0.1125 || KD Loss: 0.0289|| 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: 15:20:16 || Estimated Time: 1 day, 4:18:33
2023-07-12 07:10:26,704 semantic_segmentation INFO: Iters: 17580/50000 || Lr: 0.013543 || Task Loss: 0.1160 || 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: 15:20:46 || Estimated Time: 1 day, 4:18:01
2023-07-12 07:10:57,596 semantic_segmentation INFO: Iters: 17590/50000 || Lr: 0.013539 || Task Loss: 0.1037 || KD Loss: 0.0270|| 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: 15:21:17 || Estimated Time: 1 day, 4:17:28
2023-07-12 07:11:28,512 semantic_segmentation INFO: Iters: 17600/50000 || Lr: 0.013535 || Task Loss: 0.1048 || KD Loss: 0.0260|| 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: 15:21:48 || Estimated Time: 1 day, 4:16:56
2023-07-12 07:11:28,593 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 07:11:28,784 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.739
2023-07-12 07:11:28,803 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.965, mIoU: 0.743
2023-07-12 07:11:28,823 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.965, mIoU: 0.744
2023-07-12 07:11:28,835 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.965, mIoU: 0.739
2023-07-12 07:11:28,847 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.964, mIoU: 0.735
2023-07-12 07:11:28,859 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.965, mIoU: 0.734
2023-07-12 07:11:28,871 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.965, mIoU: 0.735
2023-07-12 07:11:28,883 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.964, mIoU: 0.736
2023-07-12 07:11:28,896 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.964, mIoU: 0.734
2023-07-12 07:11:28,908 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.964, mIoU: 0.735
2023-07-12 07:11:28,920 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.964, mIoU: 0.736
2023-07-12 07:11:28,933 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-12 07:11:28,945 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-12 07:11:28,957 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-12 07:11:28,970 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.963, mIoU: 0.742
2023-07-12 07:11:28,982 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.963, mIoU: 0.745
2023-07-12 07:11:28,994 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.963, mIoU: 0.745
2023-07-12 07:11:29,007 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.963, mIoU: 0.746
2023-07-12 07:11:29,019 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.962, mIoU: 0.745
2023-07-12 07:11:29,031 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.962, mIoU: 0.745
2023-07-12 07:11:29,043 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.962, mIoU: 0.745
2023-07-12 07:11:29,056 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 07:11:29,068 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 07:11:29,080 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 07:11:29,093 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 07:11:29,105 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 07:11:29,118 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 07:11:29,130 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 07:11:29,143 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 07:11:29,155 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-12 07:11:29,168 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-12 07:11:29,182 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-12 07:11:29,195 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.961, mIoU: 0.748
2023-07-12 07:11:29,208 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.960, mIoU: 0.747
2023-07-12 07:11:29,221 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.960, mIoU: 0.747
2023-07-12 07:11:29,233 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.959, mIoU: 0.746
2023-07-12 07:11:29,246 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-12 07:11:29,258 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.746
2023-07-12 07:11:29,270 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.958, mIoU: 0.745
2023-07-12 07:11:29,283 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.958, mIoU: 0.745
2023-07-12 07:11:29,295 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.958, mIoU: 0.746
2023-07-12 07:11:29,308 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.958, mIoU: 0.747
2023-07-12 07:11:29,320 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.959, mIoU: 0.748
2023-07-12 07:11:29,332 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.959, mIoU: 0.750
2023-07-12 07:11:29,345 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.958, mIoU: 0.750
2023-07-12 07:11:29,357 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.958, mIoU: 0.751
2023-07-12 07:11:29,370 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.958, mIoU: 0.752
2023-07-12 07:11:29,382 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.958, mIoU: 0.754
2023-07-12 07:11:29,394 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.958, mIoU: 0.755
2023-07-12 07:11:29,407 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.958, mIoU: 0.755
2023-07-12 07:11:29,419 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.957, mIoU: 0.756
2023-07-12 07:11:29,431 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.957, mIoU: 0.757
2023-07-12 07:11:29,444 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.957, mIoU: 0.758
2023-07-12 07:11:29,456 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.956, mIoU: 0.758
2023-07-12 07:11:29,468 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.956, mIoU: 0.758
2023-07-12 07:11:29,481 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.956, mIoU: 0.759
2023-07-12 07:11:29,493 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.759
2023-07-12 07:11:29,505 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.955, mIoU: 0.760
2023-07-12 07:11:29,518 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.955, mIoU: 0.761
2023-07-12 07:11:29,530 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.955, mIoU: 0.761
2023-07-12 07:11:29,542 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.955, mIoU: 0.762
2023-07-12 07:11:29,554 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.954, mIoU: 0.762
2023-07-12 07:11:29,567 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.954, mIoU: 0.763
2023-07-12 07:11:29,579 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.954, mIoU: 0.763
2023-07-12 07:11:29,591 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.953, mIoU: 0.764
2023-07-12 07:11:29,604 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.953, mIoU: 0.764
2023-07-12 07:11:29,616 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.765
2023-07-12 07:11:29,628 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.952, mIoU: 0.766
2023-07-12 07:11:29,641 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.952, mIoU: 0.767
2023-07-12 07:11:29,653 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.951, mIoU: 0.768
2023-07-12 07:11:29,665 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.951, mIoU: 0.768
2023-07-12 07:11:29,677 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.951, mIoU: 0.769
2023-07-12 07:11:29,690 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.951, mIoU: 0.769
2023-07-12 07:11:29,702 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.769
2023-07-12 07:11:29,714 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.950, mIoU: 0.769
2023-07-12 07:11:29,727 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.950, mIoU: 0.769
2023-07-12 07:11:29,740 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.950, mIoU: 0.769
2023-07-12 07:11:29,752 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.950, mIoU: 0.769
2023-07-12 07:11:29,765 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.950, mIoU: 0.769
2023-07-12 07:11:29,777 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.950, mIoU: 0.768
2023-07-12 07:11:29,790 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.950, mIoU: 0.768
2023-07-12 07:11:29,802 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.949, mIoU: 0.768
2023-07-12 07:11:29,815 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 07:11:29,827 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 07:11:29,840 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 07:11:29,852 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 07:11:29,865 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 07:11:29,877 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 07:11:29,889 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 07:11:29,902 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 07:11:29,914 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 07:11:29,926 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 07:11:29,938 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 07:11:29,950 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 07:11:29,962 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 07:11:29,974 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 07:11:29,986 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 07:11:29,998 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 07:11:30,010 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 07:11:30,022 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 07:11:30,034 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 07:12:01,402 semantic_segmentation INFO: Iters: 17610/50000 || Lr: 0.013531 || Task Loss: 0.1191 || KD Loss: 0.0249|| 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: 15:22:21 || Estimated Time: 1 day, 4:16:27
2023-07-12 07:12:32,338 semantic_segmentation INFO: Iters: 17620/50000 || Lr: 0.013528 || Task Loss: 0.1193 || KD Loss: 0.0337|| 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: 15:22:52 || Estimated Time: 1 day, 4:15:55
2023-07-12 07:13:03,286 semantic_segmentation INFO: Iters: 17630/50000 || Lr: 0.013524 || Task Loss: 0.0985 || KD Loss: 0.0293|| 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: 15:23:23 || Estimated Time: 1 day, 4:15:23
2023-07-12 07:13:34,223 semantic_segmentation INFO: Iters: 17640/50000 || Lr: 0.013520 || Task Loss: 0.1063 || KD Loss: 0.0307|| 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: 15:23:54 || Estimated Time: 1 day, 4:14:50
2023-07-12 07:14:05,189 semantic_segmentation INFO: Iters: 17650/50000 || Lr: 0.013516 || Task Loss: 0.1056 || KD Loss: 0.0278|| 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: 15:24:25 || Estimated Time: 1 day, 4:14:18
2023-07-12 07:14:36,163 semantic_segmentation INFO: Iters: 17660/50000 || Lr: 0.013512 || Task Loss: 0.1092 || KD Loss: 0.0300|| 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: 15:24:56 || Estimated Time: 1 day, 4:13:46
2023-07-12 07:15:07,125 semantic_segmentation INFO: Iters: 17670/50000 || Lr: 0.013509 || Task Loss: 0.1114 || KD Loss: 0.0278|| 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: 15:25:27 || Estimated Time: 1 day, 4:13:14
2023-07-12 07:15:38,067 semantic_segmentation INFO: Iters: 17680/50000 || Lr: 0.013505 || Task Loss: 0.1093 || KD Loss: 0.0276|| 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: 15:25:58 || Estimated Time: 1 day, 4:12:41
2023-07-12 07:16:08,983 semantic_segmentation INFO: Iters: 17690/50000 || Lr: 0.013501 || Task Loss: 0.0993 || KD Loss: 0.0283|| 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: 15:26:29 || Estimated Time: 1 day, 4:12:09
2023-07-12 07:16:39,882 semantic_segmentation INFO: Iters: 17700/50000 || Lr: 0.013497 || Task Loss: 0.1122 || KD Loss: 0.0281|| 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: 15:27:00 || Estimated Time: 1 day, 4:11:37
2023-07-12 07:17:10,819 semantic_segmentation INFO: Iters: 17710/50000 || Lr: 0.013494 || Task Loss: 0.1106 || KD Loss: 0.0330|| 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: 15:27:31 || Estimated Time: 1 day, 4:11:04
2023-07-12 07:17:41,735 semantic_segmentation INFO: Iters: 17720/50000 || Lr: 0.013490 || Task Loss: 0.1108 || KD Loss: 0.0284|| 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: 15:28:01 || Estimated Time: 1 day, 4:10:32
2023-07-12 07:18:12,625 semantic_segmentation INFO: Iters: 17730/50000 || Lr: 0.013486 || Task Loss: 0.1103 || KD Loss: 0.0287|| 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: 15:28:32 || Estimated Time: 1 day, 4:09:59
2023-07-12 07:18:43,509 semantic_segmentation INFO: Iters: 17740/50000 || Lr: 0.013482 || Task Loss: 0.1002 || 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: 15:29:03 || Estimated Time: 1 day, 4:09:27
2023-07-12 07:19:14,435 semantic_segmentation INFO: Iters: 17750/50000 || Lr: 0.013479 || Task Loss: 0.1028 || KD Loss: 0.0270|| 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: 15:29:34 || Estimated Time: 1 day, 4:08:55
2023-07-12 07:19:45,351 semantic_segmentation INFO: Iters: 17760/50000 || Lr: 0.013475 || Task Loss: 0.0875 || 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: 15:30:05 || Estimated Time: 1 day, 4:08:22
2023-07-12 07:20:16,280 semantic_segmentation INFO: Iters: 17770/50000 || Lr: 0.013471 || Task Loss: 0.1329 || KD Loss: 0.0296|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0805|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 15:30:36 || Estimated Time: 1 day, 4:07:50
2023-07-12 07:20:47,197 semantic_segmentation INFO: Iters: 17780/50000 || Lr: 0.013467 || Task Loss: 0.1000 || KD Loss: 0.0299|| 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: 15:31:07 || Estimated Time: 1 day, 4:07:18
2023-07-12 07:21:18,131 semantic_segmentation INFO: Iters: 17790/50000 || Lr: 0.013464 || Task Loss: 0.1071 || KD Loss: 0.0278|| 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: 15:31:38 || Estimated Time: 1 day, 4:06:45
2023-07-12 07:21:49,065 semantic_segmentation INFO: Iters: 17800/50000 || Lr: 0.013460 || Task Loss: 0.1113 || KD Loss: 0.0285|| 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: 15:32:09 || Estimated Time: 1 day, 4:06:13
2023-07-12 07:22:19,982 semantic_segmentation INFO: Iters: 17810/50000 || Lr: 0.013456 || Task Loss: 0.0875 || KD Loss: 0.0249|| 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: 15:32:40 || Estimated Time: 1 day, 4:05:41
2023-07-12 07:22:50,898 semantic_segmentation INFO: Iters: 17820/50000 || Lr: 0.013452 || Task Loss: 0.1104 || KD Loss: 0.0267|| 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: 15:33:11 || Estimated Time: 1 day, 4:05:08
2023-07-12 07:23:21,828 semantic_segmentation INFO: Iters: 17830/50000 || Lr: 0.013449 || Task Loss: 0.1021 || KD Loss: 0.0323|| 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: 15:33:42 || Estimated Time: 1 day, 4:04:36
2023-07-12 07:23:52,746 semantic_segmentation INFO: Iters: 17840/50000 || Lr: 0.013445 || Task Loss: 0.1039 || KD Loss: 0.0271|| 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: 15:34:13 || Estimated Time: 1 day, 4:04:04
2023-07-12 07:24:23,678 semantic_segmentation INFO: Iters: 17850/50000 || Lr: 0.013441 || Task Loss: 0.0956 || KD Loss: 0.0290|| 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: 15:34:43 || Estimated Time: 1 day, 4:03:32
2023-07-12 07:24:54,594 semantic_segmentation INFO: Iters: 17860/50000 || Lr: 0.013437 || Task Loss: 0.1010 || KD Loss: 0.0328|| 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: 15:35:14 || Estimated Time: 1 day, 4:02:59
2023-07-12 07:25:25,510 semantic_segmentation INFO: Iters: 17870/50000 || Lr: 0.013433 || Task Loss: 0.1040 || KD Loss: 0.0270|| 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: 15:35:45 || Estimated Time: 1 day, 4:02:27
2023-07-12 07:25:56,448 semantic_segmentation INFO: Iters: 17880/50000 || Lr: 0.013430 || Task Loss: 0.1187 || KD Loss: 0.0368|| 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: 15:36:16 || Estimated Time: 1 day, 4:01:55
2023-07-12 07:26:27,398 semantic_segmentation INFO: Iters: 17890/50000 || Lr: 0.013426 || Task Loss: 0.1039 || 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: 15:36:47 || Estimated Time: 1 day, 4:01:22
2023-07-12 07:26:58,380 semantic_segmentation INFO: Iters: 17900/50000 || Lr: 0.013422 || Task Loss: 0.1062 || KD Loss: 0.0334|| 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: 15:37:18 || Estimated Time: 1 day, 4:00:50
2023-07-12 07:27:29,326 semantic_segmentation INFO: Iters: 17910/50000 || Lr: 0.013418 || Task Loss: 0.1053 || KD Loss: 0.0275|| 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: 15:37:49 || Estimated Time: 1 day, 4:00:18
2023-07-12 07:28:00,281 semantic_segmentation INFO: Iters: 17920/50000 || Lr: 0.013415 || Task Loss: 0.1052 || KD Loss: 0.0285|| 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: 15:38:20 || Estimated Time: 1 day, 3:59:46
2023-07-12 07:28:31,202 semantic_segmentation INFO: Iters: 17930/50000 || Lr: 0.013411 || Task Loss: 0.1069 || KD Loss: 0.0310|| 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: 15:38:51 || Estimated Time: 1 day, 3:59:13
2023-07-12 07:29:02,134 semantic_segmentation INFO: Iters: 17940/50000 || Lr: 0.013407 || Task Loss: 0.1156 || KD Loss: 0.0305|| 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: 15:39:22 || Estimated Time: 1 day, 3:58:41
2023-07-12 07:29:33,068 semantic_segmentation INFO: Iters: 17950/50000 || Lr: 0.013403 || Task Loss: 0.1047 || KD Loss: 0.0274|| 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: 15:39:53 || Estimated Time: 1 day, 3:58:09
2023-07-12 07:30:03,950 semantic_segmentation INFO: Iters: 17960/50000 || Lr: 0.013400 || Task Loss: 0.1208 || KD Loss: 0.0285|| 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: 15:40:24 || Estimated Time: 1 day, 3:57:36
2023-07-12 07:30:34,863 semantic_segmentation INFO: Iters: 17970/50000 || Lr: 0.013396 || Task Loss: 0.0948 || KD Loss: 0.0260|| 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: 15:40:55 || Estimated Time: 1 day, 3:57:04
2023-07-12 07:31:05,811 semantic_segmentation INFO: Iters: 17980/50000 || Lr: 0.013392 || Task Loss: 0.1080 || KD Loss: 0.0277|| 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: 15:41:26 || Estimated Time: 1 day, 3:56:32
2023-07-12 07:31:36,711 semantic_segmentation INFO: Iters: 17990/50000 || Lr: 0.013388 || Task Loss: 0.1102 || KD Loss: 0.0300|| 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: 15:41:56 || Estimated Time: 1 day, 3:56:00
2023-07-12 07:32:07,645 semantic_segmentation INFO: Iters: 18000/50000 || Lr: 0.013385 || Task Loss: 0.0878 || 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: 15:42:27 || Estimated Time: 1 day, 3:55:27
2023-07-12 07:32:38,526 semantic_segmentation INFO: Iters: 18010/50000 || Lr: 0.013381 || Task Loss: 0.0956 || KD Loss: 0.0273|| 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: 15:42:58 || Estimated Time: 1 day, 3:54:55
2023-07-12 07:33:09,433 semantic_segmentation INFO: Iters: 18020/50000 || Lr: 0.013377 || Task Loss: 0.1061 || KD Loss: 0.0270|| 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: 15:43:29 || Estimated Time: 1 day, 3:54:23
2023-07-12 07:33:40,330 semantic_segmentation INFO: Iters: 18030/50000 || Lr: 0.013373 || Task Loss: 0.1086 || KD Loss: 0.0335|| 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: 15:44:00 || Estimated Time: 1 day, 3:53:50
2023-07-12 07:34:11,224 semantic_segmentation INFO: Iters: 18040/50000 || Lr: 0.013370 || Task Loss: 0.1139 || KD Loss: 0.0345|| 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: 15:44:31 || Estimated Time: 1 day, 3:53:18
2023-07-12 07:34:42,102 semantic_segmentation INFO: Iters: 18050/50000 || Lr: 0.013366 || Task Loss: 0.0919 || KD Loss: 0.0295|| 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: 15:45:02 || Estimated Time: 1 day, 3:52:46
2023-07-12 07:35:13,004 semantic_segmentation INFO: Iters: 18060/50000 || Lr: 0.013362 || Task Loss: 0.1094 || 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: 15:45:33 || Estimated Time: 1 day, 3:52:13
2023-07-12 07:35:43,917 semantic_segmentation INFO: Iters: 18070/50000 || Lr: 0.013358 || Task Loss: 0.1162 || KD Loss: 0.0323|| 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: 15:46:04 || Estimated Time: 1 day, 3:51:41
2023-07-12 07:36:14,846 semantic_segmentation INFO: Iters: 18080/50000 || Lr: 0.013354 || Task Loss: 0.1036 || KD Loss: 0.0291|| 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: 15:46:35 || Estimated Time: 1 day, 3:51:09
2023-07-12 07:36:45,750 semantic_segmentation INFO: Iters: 18090/50000 || Lr: 0.013351 || Task Loss: 0.1033 || KD Loss: 0.0290|| 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: 15:47:06 || Estimated Time: 1 day, 3:50:36
2023-07-12 07:37:16,649 semantic_segmentation INFO: Iters: 18100/50000 || Lr: 0.013347 || Task Loss: 0.0887 || KD Loss: 0.0269|| 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: 15:47:36 || Estimated Time: 1 day, 3:50:04
2023-07-12 07:37:47,574 semantic_segmentation INFO: Iters: 18110/50000 || Lr: 0.013343 || Task Loss: 0.1049 || 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: 15:48:07 || Estimated Time: 1 day, 3:49:32
2023-07-12 07:38:18,489 semantic_segmentation INFO: Iters: 18120/50000 || Lr: 0.013339 || Task Loss: 0.1080 || KD Loss: 0.0319|| 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: 15:48:38 || Estimated Time: 1 day, 3:48:59
2023-07-12 07:38:49,408 semantic_segmentation INFO: Iters: 18130/50000 || Lr: 0.013336 || Task Loss: 0.1059 || KD Loss: 0.0330|| 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: 15:49:09 || Estimated Time: 1 day, 3:48:27
2023-07-12 07:39:20,332 semantic_segmentation INFO: Iters: 18140/50000 || Lr: 0.013332 || Task Loss: 0.1144 || 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: 15:49:40 || Estimated Time: 1 day, 3:47:55
2023-07-12 07:39:51,233 semantic_segmentation INFO: Iters: 18150/50000 || Lr: 0.013328 || Task Loss: 0.0970 || KD Loss: 0.0293|| 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: 15:50:11 || Estimated Time: 1 day, 3:47:23
2023-07-12 07:40:22,141 semantic_segmentation INFO: Iters: 18160/50000 || Lr: 0.013324 || Task Loss: 0.1204 || KD Loss: 0.0370|| 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: 15:50:42 || Estimated Time: 1 day, 3:46:50
2023-07-12 07:40:53,136 semantic_segmentation INFO: Iters: 18170/50000 || Lr: 0.013321 || Task Loss: 0.0987 || KD Loss: 0.0349|| 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: 15:51:13 || Estimated Time: 1 day, 3:46:18
2023-07-12 07:41:24,010 semantic_segmentation INFO: Iters: 18180/50000 || Lr: 0.013317 || Task Loss: 0.1086 || KD Loss: 0.0271|| 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: 15:51:44 || Estimated Time: 1 day, 3:45:46
2023-07-12 07:41:54,963 semantic_segmentation INFO: Iters: 18190/50000 || Lr: 0.013313 || Task Loss: 0.1127 || KD Loss: 0.0347|| 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: 15:52:15 || Estimated Time: 1 day, 3:45:14
2023-07-12 07:42:25,915 semantic_segmentation INFO: Iters: 18200/50000 || Lr: 0.013309 || Task Loss: 0.0959 || 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: 15:52:46 || Estimated Time: 1 day, 3:44:41
2023-07-12 07:42:56,810 semantic_segmentation INFO: Iters: 18210/50000 || Lr: 0.013305 || Task Loss: 0.1127 || KD Loss: 0.0291|| 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: 15:53:17 || Estimated Time: 1 day, 3:44:09
2023-07-12 07:43:27,735 semantic_segmentation INFO: Iters: 18220/50000 || Lr: 0.013302 || Task Loss: 0.0960 || KD Loss: 0.0354|| 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: 15:53:47 || Estimated Time: 1 day, 3:43:37
2023-07-12 07:43:58,659 semantic_segmentation INFO: Iters: 18230/50000 || Lr: 0.013298 || Task Loss: 0.1023 || KD Loss: 0.0278|| 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: 15:54:18 || Estimated Time: 1 day, 3:43:05
2023-07-12 07:44:29,562 semantic_segmentation INFO: Iters: 18240/50000 || Lr: 0.013294 || Task Loss: 0.1091 || KD Loss: 0.0252|| 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: 15:54:49 || Estimated Time: 1 day, 3:42:32
2023-07-12 07:45:00,492 semantic_segmentation INFO: Iters: 18250/50000 || Lr: 0.013290 || Task Loss: 0.1166 || 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: 15:55:20 || Estimated Time: 1 day, 3:42:00
2023-07-12 07:45:31,419 semantic_segmentation INFO: Iters: 18260/50000 || Lr: 0.013287 || Task Loss: 0.1231 || KD Loss: 0.0297|| 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: 15:55:51 || Estimated Time: 1 day, 3:41:28
2023-07-12 07:46:02,372 semantic_segmentation INFO: Iters: 18270/50000 || Lr: 0.013283 || Task Loss: 0.1021 || 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: 15:56:22 || Estimated Time: 1 day, 3:40:56
2023-07-12 07:46:33,296 semantic_segmentation INFO: Iters: 18280/50000 || Lr: 0.013279 || Task Loss: 0.1097 || KD Loss: 0.0305|| 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: 15:56:53 || Estimated Time: 1 day, 3:40:23
2023-07-12 07:47:04,209 semantic_segmentation INFO: Iters: 18290/50000 || Lr: 0.013275 || Task Loss: 0.1145 || KD Loss: 0.0291|| 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: 15:57:24 || Estimated Time: 1 day, 3:39:51
2023-07-12 07:47:35,130 semantic_segmentation INFO: Iters: 18300/50000 || Lr: 0.013272 || Task Loss: 0.1046 || KD Loss: 0.0272|| 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: 15:57:55 || Estimated Time: 1 day, 3:39:19
2023-07-12 07:48:06,049 semantic_segmentation INFO: Iters: 18310/50000 || Lr: 0.013268 || Task Loss: 0.1003 || KD Loss: 0.0287|| 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: 15:58:26 || Estimated Time: 1 day, 3:38:47
2023-07-12 07:48:36,959 semantic_segmentation INFO: Iters: 18320/50000 || Lr: 0.013264 || Task Loss: 0.1007 || KD Loss: 0.0253|| 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: 15:58:57 || Estimated Time: 1 day, 3:38:14
2023-07-12 07:49:07,905 semantic_segmentation INFO: Iters: 18330/50000 || Lr: 0.013260 || Task Loss: 0.1032 || KD Loss: 0.0279|| 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: 15:59:28 || Estimated Time: 1 day, 3:37:42
2023-07-12 07:49:38,799 semantic_segmentation INFO: Iters: 18340/50000 || Lr: 0.013257 || Task Loss: 0.1198 || 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: 15:59:59 || Estimated Time: 1 day, 3:37:10
2023-07-12 07:50:09,708 semantic_segmentation INFO: Iters: 18350/50000 || Lr: 0.013253 || Task Loss: 0.0847 || KD Loss: 0.0328|| 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: 16:00:29 || Estimated Time: 1 day, 3:36:38
2023-07-12 07:50:40,634 semantic_segmentation INFO: Iters: 18360/50000 || Lr: 0.013249 || Task Loss: 0.1140 || KD Loss: 0.0269|| 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: 16:01:00 || Estimated Time: 1 day, 3:36:05
2023-07-12 07:51:11,574 semantic_segmentation INFO: Iters: 18370/50000 || Lr: 0.013245 || Task Loss: 0.1153 || KD Loss: 0.0319|| 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: 16:01:31 || Estimated Time: 1 day, 3:35:33
2023-07-12 07:51:42,525 semantic_segmentation INFO: Iters: 18380/50000 || Lr: 0.013241 || Task Loss: 0.1064 || KD Loss: 0.0258|| 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: 16:02:02 || Estimated Time: 1 day, 3:35:01
2023-07-12 07:52:13,454 semantic_segmentation INFO: Iters: 18390/50000 || Lr: 0.013238 || Task Loss: 0.0989 || KD Loss: 0.0301|| 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: 16:02:33 || Estimated Time: 1 day, 3:34:29
2023-07-12 07:52:44,365 semantic_segmentation INFO: Iters: 18400/50000 || Lr: 0.013234 || Task Loss: 0.1096 || KD Loss: 0.0253|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0754|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:03:04 || Estimated Time: 1 day, 3:33:57
2023-07-12 07:52:44,451 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 07:52:44,646 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.737
2023-07-12 07:52:44,671 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.737
2023-07-12 07:52:44,683 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.738
2023-07-12 07:52:44,696 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.732
2023-07-12 07:52:44,708 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 07:52:44,720 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.964, mIoU: 0.729
2023-07-12 07:52:44,732 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.964, mIoU: 0.730
2023-07-12 07:52:44,744 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 07:52:44,756 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 07:52:44,768 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.728
2023-07-12 07:52:44,780 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 07:52:44,793 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.728
2023-07-12 07:52:44,805 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.731
2023-07-12 07:52:44,817 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-12 07:52:44,830 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.735
2023-07-12 07:52:44,843 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.962, mIoU: 0.738
2023-07-12 07:52:44,856 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.739
2023-07-12 07:52:44,868 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.741
2023-07-12 07:52:44,880 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 07:52:44,893 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-12 07:52:44,905 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 07:52:44,917 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 07:52:44,929 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 07:52:44,941 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 07:52:44,954 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 07:52:44,967 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 07:52:44,979 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 07:52:44,992 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 07:52:45,005 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 07:52:45,017 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 07:52:45,030 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 07:52:45,042 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 07:52:45,055 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 07:52:45,067 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 07:52:45,080 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 07:52:45,092 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 07:52:45,105 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 07:52:45,117 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 07:52:45,130 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 07:52:45,142 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 07:52:45,155 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 07:52:45,167 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 07:52:45,180 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 07:52:45,193 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 07:52:45,205 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 07:52:45,218 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 07:52:45,230 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 07:52:45,243 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-12 07:52:45,255 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 07:52:45,268 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 07:52:45,280 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 07:52:45,293 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 07:52:45,306 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 07:52:45,318 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 07:52:45,331 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 07:52:45,343 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 07:52:45,355 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 07:52:45,368 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 07:52:45,380 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 07:52:45,393 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 07:52:45,405 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 07:52:45,417 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-12 07:52:45,430 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 07:52:45,442 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 07:52:45,454 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 07:52:45,467 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 07:52:45,479 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 07:52:45,492 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 07:52:45,504 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 07:52:45,516 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 07:52:45,528 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 07:52:45,541 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 07:52:45,553 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 07:52:45,566 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 07:52:45,579 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 07:52:45,591 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 07:52:45,604 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 07:52:45,616 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 07:52:45,629 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 07:52:45,641 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 07:52:45,654 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 07:52:45,667 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 07:52:45,679 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 07:52:45,692 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 07:52:45,705 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 07:52:45,717 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 07:52:45,729 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 07:52:45,742 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 07:52:45,754 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 07:52:45,766 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 07:52:45,778 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 07:52:45,790 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 07:52:45,802 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 07:52:45,814 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 07:52:45,826 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 07:52:45,839 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 07:52:45,852 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 07:52:45,865 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 07:52:45,877 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 07:52:45,889 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 07:52:45,901 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 07:53:17,030 semantic_segmentation INFO: Iters: 18410/50000 || Lr: 0.013230 || Task Loss: 0.0976 || KD Loss: 0.0278|| 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: 16:03:37 || Estimated Time: 1 day, 3:33:27
2023-07-12 07:53:47,928 semantic_segmentation INFO: Iters: 18420/50000 || Lr: 0.013226 || Task Loss: 0.0951 || KD Loss: 0.0248|| 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: 16:04:08 || Estimated Time: 1 day, 3:32:55
2023-07-12 07:54:18,829 semantic_segmentation INFO: Iters: 18430/50000 || Lr: 0.013223 || Task Loss: 0.1310 || KD Loss: 0.0285|| 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: 16:04:39 || Estimated Time: 1 day, 3:32:23
2023-07-12 07:54:49,760 semantic_segmentation INFO: Iters: 18440/50000 || Lr: 0.013219 || Task Loss: 0.1066 || KD Loss: 0.0281|| 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: 16:05:10 || Estimated Time: 1 day, 3:31:51
2023-07-12 07:55:20,692 semantic_segmentation INFO: Iters: 18450/50000 || Lr: 0.013215 || Task Loss: 0.0972 || 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: 16:05:40 || Estimated Time: 1 day, 3:31:18
2023-07-12 07:55:51,655 semantic_segmentation INFO: Iters: 18460/50000 || Lr: 0.013211 || Task Loss: 0.1129 || KD Loss: 0.0275|| 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: 16:06:11 || Estimated Time: 1 day, 3:30:46
2023-07-12 07:56:22,604 semantic_segmentation INFO: Iters: 18470/50000 || Lr: 0.013208 || Task Loss: 0.1007 || 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: 16:06:42 || Estimated Time: 1 day, 3:30:14
2023-07-12 07:56:53,554 semantic_segmentation INFO: Iters: 18480/50000 || Lr: 0.013204 || Task Loss: 0.0999 || 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: 16:07:13 || Estimated Time: 1 day, 3:29:42
2023-07-12 07:57:24,503 semantic_segmentation INFO: Iters: 18490/50000 || Lr: 0.013200 || Task Loss: 0.1183 || KD Loss: 0.0360|| 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: 16:07:44 || Estimated Time: 1 day, 3:29:10
2023-07-12 07:57:55,440 semantic_segmentation INFO: Iters: 18500/50000 || Lr: 0.013196 || Task Loss: 0.1358 || KD Loss: 0.0315|| 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: 16:08:15 || Estimated Time: 1 day, 3:28:37
2023-07-12 07:58:26,382 semantic_segmentation INFO: Iters: 18510/50000 || Lr: 0.013192 || Task Loss: 0.0980 || 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: 16:08:46 || Estimated Time: 1 day, 3:28:05
2023-07-12 07:58:57,297 semantic_segmentation INFO: Iters: 18520/50000 || Lr: 0.013189 || Task Loss: 0.1116 || KD Loss: 0.0280|| 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: 16:09:17 || Estimated Time: 1 day, 3:27:33
2023-07-12 07:59:28,227 semantic_segmentation INFO: Iters: 18530/50000 || Lr: 0.013185 || Task Loss: 0.1218 || KD Loss: 0.0341|| 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: 16:09:48 || Estimated Time: 1 day, 3:27:01
2023-07-12 07:59:59,129 semantic_segmentation INFO: Iters: 18540/50000 || Lr: 0.013181 || Task Loss: 0.1124 || KD Loss: 0.0307|| 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: 16:10:19 || Estimated Time: 1 day, 3:26:29
2023-07-12 08:00:30,095 semantic_segmentation INFO: Iters: 18550/50000 || Lr: 0.013177 || Task Loss: 0.1155 || KD Loss: 0.0290|| 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: 16:10:50 || Estimated Time: 1 day, 3:25:56
2023-07-12 08:01:01,044 semantic_segmentation INFO: Iters: 18560/50000 || Lr: 0.013174 || Task Loss: 0.1036 || KD Loss: 0.0274|| 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: 16:11:21 || Estimated Time: 1 day, 3:25:24
2023-07-12 08:01:31,979 semantic_segmentation INFO: Iters: 18570/50000 || Lr: 0.013170 || Task Loss: 0.1064 || 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: 16:11:52 || Estimated Time: 1 day, 3:24:52
2023-07-12 08:02:02,950 semantic_segmentation INFO: Iters: 18580/50000 || Lr: 0.013166 || Task Loss: 0.1014 || KD Loss: 0.0277|| 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: 16:12:23 || Estimated Time: 1 day, 3:24:20
2023-07-12 08:02:33,838 semantic_segmentation INFO: Iters: 18590/50000 || Lr: 0.013162 || Task Loss: 0.1323 || KD Loss: 0.0287|| 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: 16:12:54 || Estimated Time: 1 day, 3:23:48
2023-07-12 08:03:04,737 semantic_segmentation INFO: Iters: 18600/50000 || Lr: 0.013158 || Task Loss: 0.0856 || KD Loss: 0.0263|| 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: 16:13:24 || Estimated Time: 1 day, 3:23:15
2023-07-12 08:03:35,630 semantic_segmentation INFO: Iters: 18610/50000 || Lr: 0.013155 || Task Loss: 0.1037 || KD Loss: 0.0274|| 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: 16:13:55 || Estimated Time: 1 day, 3:22:43
2023-07-12 08:04:06,573 semantic_segmentation INFO: Iters: 18620/50000 || Lr: 0.013151 || Task Loss: 0.0957 || KD Loss: 0.0301|| 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: 16:14:26 || Estimated Time: 1 day, 3:22:11
2023-07-12 08:04:37,479 semantic_segmentation INFO: Iters: 18630/50000 || Lr: 0.013147 || Task Loss: 0.0984 || KD Loss: 0.0308|| 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: 16:14:57 || Estimated Time: 1 day, 3:21:39
2023-07-12 08:05:08,389 semantic_segmentation INFO: Iters: 18640/50000 || Lr: 0.013143 || Task Loss: 0.0995 || KD Loss: 0.0259|| 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: 16:15:28 || Estimated Time: 1 day, 3:21:07
2023-07-12 08:05:39,245 semantic_segmentation INFO: Iters: 18650/50000 || Lr: 0.013140 || Task Loss: 0.0999 || KD Loss: 0.0324|| 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: 16:15:59 || Estimated Time: 1 day, 3:20:34
2023-07-12 08:06:10,162 semantic_segmentation INFO: Iters: 18660/50000 || Lr: 0.013136 || Task Loss: 0.0902 || KD Loss: 0.0246|| 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: 16:16:30 || Estimated Time: 1 day, 3:20:02
2023-07-12 08:06:41,054 semantic_segmentation INFO: Iters: 18670/50000 || Lr: 0.013132 || Task Loss: 0.0992 || KD Loss: 0.0296|| 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: 16:17:01 || Estimated Time: 1 day, 3:19:30
2023-07-12 08:07:11,973 semantic_segmentation INFO: Iters: 18680/50000 || Lr: 0.013128 || Task Loss: 0.0989 || KD Loss: 0.0274|| 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: 16:17:32 || Estimated Time: 1 day, 3:18:58
2023-07-12 08:07:42,918 semantic_segmentation INFO: Iters: 18690/50000 || Lr: 0.013125 || Task Loss: 0.0992 || KD Loss: 0.0295|| 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: 16:18:03 || Estimated Time: 1 day, 3:18:25
2023-07-12 08:08:13,860 semantic_segmentation INFO: Iters: 18700/50000 || Lr: 0.013121 || Task Loss: 0.0844 || 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: 16:18:34 || Estimated Time: 1 day, 3:17:53
2023-07-12 08:08:44,773 semantic_segmentation INFO: Iters: 18710/50000 || Lr: 0.013117 || Task Loss: 0.0935 || KD Loss: 0.0303|| 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: 16:19:05 || Estimated Time: 1 day, 3:17:21
2023-07-12 08:09:15,712 semantic_segmentation INFO: Iters: 18720/50000 || Lr: 0.013113 || Task Loss: 0.1061 || KD Loss: 0.0266|| 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: 16:19:35 || Estimated Time: 1 day, 3:16:49
2023-07-12 08:09:46,685 semantic_segmentation INFO: Iters: 18730/50000 || Lr: 0.013109 || Task Loss: 0.1153 || KD Loss: 0.0283|| 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: 16:20:06 || Estimated Time: 1 day, 3:16:17
2023-07-12 08:10:17,600 semantic_segmentation INFO: Iters: 18740/50000 || Lr: 0.013106 || Task Loss: 0.1346 || KD Loss: 0.0288|| 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: 16:20:37 || Estimated Time: 1 day, 3:15:45
2023-07-12 08:10:48,556 semantic_segmentation INFO: Iters: 18750/50000 || Lr: 0.013102 || Task Loss: 0.1218 || KD Loss: 0.0326|| 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: 16:21:08 || Estimated Time: 1 day, 3:15:12
2023-07-12 08:11:19,565 semantic_segmentation INFO: Iters: 18760/50000 || Lr: 0.013098 || Task Loss: 0.1017 || KD Loss: 0.0286|| 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: 16:21:39 || Estimated Time: 1 day, 3:14:40
2023-07-12 08:11:50,508 semantic_segmentation INFO: Iters: 18770/50000 || Lr: 0.013094 || Task Loss: 0.0990 || KD Loss: 0.0322|| 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: 16:22:10 || Estimated Time: 1 day, 3:14:08
2023-07-12 08:12:21,458 semantic_segmentation INFO: Iters: 18780/50000 || Lr: 0.013091 || Task Loss: 0.0964 || KD Loss: 0.0259|| 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: 16:22:41 || Estimated Time: 1 day, 3:13:36
2023-07-12 08:12:52,460 semantic_segmentation INFO: Iters: 18790/50000 || Lr: 0.013087 || Task Loss: 0.0979 || KD Loss: 0.0280|| 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: 16:23:12 || Estimated Time: 1 day, 3:13:04
2023-07-12 08:13:23,405 semantic_segmentation INFO: Iters: 18800/50000 || Lr: 0.013083 || Task Loss: 0.1159 || KD Loss: 0.0311|| 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: 16:23:43 || Estimated Time: 1 day, 3:12:32
2023-07-12 08:13:54,396 semantic_segmentation INFO: Iters: 18810/50000 || Lr: 0.013079 || Task Loss: 0.1211 || KD Loss: 0.0269|| 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: 16:24:14 || Estimated Time: 1 day, 3:12:00
2023-07-12 08:14:25,359 semantic_segmentation INFO: Iters: 18820/50000 || Lr: 0.013075 || Task Loss: 0.1170 || KD Loss: 0.0292|| 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: 16:24:45 || Estimated Time: 1 day, 3:11:28
2023-07-12 08:14:56,336 semantic_segmentation INFO: Iters: 18830/50000 || Lr: 0.013072 || Task Loss: 0.1047 || KD Loss: 0.0309|| 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: 16:25:16 || Estimated Time: 1 day, 3:10:56
2023-07-12 08:15:27,314 semantic_segmentation INFO: Iters: 18840/50000 || Lr: 0.013068 || Task Loss: 0.1052 || KD Loss: 0.0307|| 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: 16:25:47 || Estimated Time: 1 day, 3:10:24
2023-07-12 08:15:58,233 semantic_segmentation INFO: Iters: 18850/50000 || Lr: 0.013064 || Task Loss: 0.0864 || KD Loss: 0.0245|| 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: 16:26:18 || Estimated Time: 1 day, 3:09:51
2023-07-12 08:16:29,179 semantic_segmentation INFO: Iters: 18860/50000 || Lr: 0.013060 || Task Loss: 0.0885 || 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: 16:26:49 || Estimated Time: 1 day, 3:09:19
2023-07-12 08:17:00,147 semantic_segmentation INFO: Iters: 18870/50000 || Lr: 0.013057 || Task Loss: 0.0916 || KD Loss: 0.0282|| 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: 16:27:20 || Estimated Time: 1 day, 3:08:47
2023-07-12 08:17:31,052 semantic_segmentation INFO: Iters: 18880/50000 || Lr: 0.013053 || Task Loss: 0.1137 || 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: 16:27:51 || Estimated Time: 1 day, 3:08:15
2023-07-12 08:18:01,987 semantic_segmentation INFO: Iters: 18890/50000 || Lr: 0.013049 || Task Loss: 0.0999 || KD Loss: 0.0340|| 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: 16:28:22 || Estimated Time: 1 day, 3:07:43
2023-07-12 08:18:32,924 semantic_segmentation INFO: Iters: 18900/50000 || Lr: 0.013045 || Task Loss: 0.1062 || KD Loss: 0.0253|| 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: 16:28:53 || Estimated Time: 1 day, 3:07:11
2023-07-12 08:19:03,843 semantic_segmentation INFO: Iters: 18910/50000 || Lr: 0.013042 || Task Loss: 0.0939 || KD Loss: 0.0314|| 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: 16:29:24 || Estimated Time: 1 day, 3:06:39
2023-07-12 08:19:34,782 semantic_segmentation INFO: Iters: 18920/50000 || Lr: 0.013038 || Task Loss: 0.1177 || KD Loss: 0.0265|| 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: 16:29:55 || Estimated Time: 1 day, 3:06:06
2023-07-12 08:20:05,711 semantic_segmentation INFO: Iters: 18930/50000 || Lr: 0.013034 || Task Loss: 0.0912 || 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: 16:30:25 || Estimated Time: 1 day, 3:05:34
2023-07-12 08:20:36,622 semantic_segmentation INFO: Iters: 18940/50000 || Lr: 0.013030 || Task Loss: 0.0961 || KD Loss: 0.0282|| 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: 16:30:56 || Estimated Time: 1 day, 3:05:02
2023-07-12 08:21:07,573 semantic_segmentation INFO: Iters: 18950/50000 || Lr: 0.013026 || Task Loss: 0.0998 || KD Loss: 0.0273|| 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: 16:31:27 || Estimated Time: 1 day, 3:04:30
2023-07-12 08:21:38,532 semantic_segmentation INFO: Iters: 18960/50000 || Lr: 0.013023 || Task Loss: 0.1023 || KD Loss: 0.0344|| 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: 16:31:58 || Estimated Time: 1 day, 3:03:58
2023-07-12 08:22:09,458 semantic_segmentation INFO: Iters: 18970/50000 || Lr: 0.013019 || Task Loss: 0.0961 || 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: 16:32:29 || Estimated Time: 1 day, 3:03:26
2023-07-12 08:22:40,383 semantic_segmentation INFO: Iters: 18980/50000 || Lr: 0.013015 || Task Loss: 0.1078 || KD Loss: 0.0249|| 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: 16:33:00 || Estimated Time: 1 day, 3:02:54
2023-07-12 08:23:11,287 semantic_segmentation INFO: Iters: 18990/50000 || Lr: 0.013011 || Task Loss: 0.1173 || KD Loss: 0.0313|| 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: 16:33:31 || Estimated Time: 1 day, 3:02:21
2023-07-12 08:23:42,202 semantic_segmentation INFO: Iters: 19000/50000 || Lr: 0.013008 || Task Loss: 0.1083 || KD Loss: 0.0275|| 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: 16:34:02 || Estimated Time: 1 day, 3:01:49
2023-07-12 08:24:13,139 semantic_segmentation INFO: Iters: 19010/50000 || Lr: 0.013004 || Task Loss: 0.0998 || KD Loss: 0.0245|| 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: 16:34:33 || Estimated Time: 1 day, 3:01:17
2023-07-12 08:24:44,035 semantic_segmentation INFO: Iters: 19020/50000 || Lr: 0.013000 || Task Loss: 0.1160 || 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: 16:35:04 || Estimated Time: 1 day, 3:00:45
2023-07-12 08:25:15,036 semantic_segmentation INFO: Iters: 19030/50000 || Lr: 0.012996 || Task Loss: 0.1093 || KD Loss: 0.0263|| 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: 16:35:35 || Estimated Time: 1 day, 3:00:13
2023-07-12 08:25:45,966 semantic_segmentation INFO: Iters: 19040/50000 || Lr: 0.012992 || Task Loss: 0.1039 || KD Loss: 0.0298|| 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: 16:36:06 || Estimated Time: 1 day, 2:59:41
2023-07-12 08:26:16,912 semantic_segmentation INFO: Iters: 19050/50000 || Lr: 0.012989 || Task Loss: 0.0975 || KD Loss: 0.0235|| 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: 16:36:37 || Estimated Time: 1 day, 2:59:09
2023-07-12 08:26:47,876 semantic_segmentation INFO: Iters: 19060/50000 || Lr: 0.012985 || Task Loss: 0.0997 || KD Loss: 0.0292|| 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: 16:37:08 || Estimated Time: 1 day, 2:58:37
2023-07-12 08:27:18,809 semantic_segmentation INFO: Iters: 19070/50000 || Lr: 0.012981 || Task Loss: 0.1028 || KD Loss: 0.0313|| 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: 16:37:39 || Estimated Time: 1 day, 2:58:04
2023-07-12 08:27:49,754 semantic_segmentation INFO: Iters: 19080/50000 || Lr: 0.012977 || Task Loss: 0.1078 || KD Loss: 0.0274|| 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: 16:38:10 || Estimated Time: 1 day, 2:57:32
2023-07-12 08:28:20,676 semantic_segmentation INFO: Iters: 19090/50000 || Lr: 0.012974 || Task Loss: 0.1083 || KD Loss: 0.0298|| 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: 16:38:40 || Estimated Time: 1 day, 2:57:00
2023-07-12 08:28:51,594 semantic_segmentation INFO: Iters: 19100/50000 || Lr: 0.012970 || Task Loss: 0.1047 || KD Loss: 0.0330|| 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: 16:39:11 || Estimated Time: 1 day, 2:56:28
2023-07-12 08:29:22,528 semantic_segmentation INFO: Iters: 19110/50000 || Lr: 0.012966 || Task Loss: 0.1181 || 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: 16:39:42 || Estimated Time: 1 day, 2:55:56
2023-07-12 08:29:53,431 semantic_segmentation INFO: Iters: 19120/50000 || Lr: 0.012962 || Task Loss: 0.1137 || KD Loss: 0.0325|| 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: 16:40:13 || Estimated Time: 1 day, 2:55:24
2023-07-12 08:30:24,379 semantic_segmentation INFO: Iters: 19130/50000 || Lr: 0.012958 || Task Loss: 0.0972 || KD Loss: 0.0273|| 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: 16:40:44 || Estimated Time: 1 day, 2:54:52
2023-07-12 08:30:55,346 semantic_segmentation INFO: Iters: 19140/50000 || Lr: 0.012955 || Task Loss: 0.1005 || KD Loss: 0.0283|| 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: 16:41:15 || Estimated Time: 1 day, 2:54:20
2023-07-12 08:31:26,344 semantic_segmentation INFO: Iters: 19150/50000 || Lr: 0.012951 || Task Loss: 0.1139 || KD Loss: 0.0309|| 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: 16:41:46 || Estimated Time: 1 day, 2:53:48
2023-07-12 08:31:57,308 semantic_segmentation INFO: Iters: 19160/50000 || Lr: 0.012947 || Task Loss: 0.0928 || KD Loss: 0.0273|| 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: 16:42:17 || Estimated Time: 1 day, 2:53:15
2023-07-12 08:32:28,283 semantic_segmentation INFO: Iters: 19170/50000 || Lr: 0.012943 || Task Loss: 0.1061 || KD Loss: 0.0290|| 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: 16:42:48 || Estimated Time: 1 day, 2:52:43
2023-07-12 08:32:59,227 semantic_segmentation INFO: Iters: 19180/50000 || Lr: 0.012940 || Task Loss: 0.1081 || 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: 16:43:19 || Estimated Time: 1 day, 2:52:11
2023-07-12 08:33:30,165 semantic_segmentation INFO: Iters: 19190/50000 || Lr: 0.012936 || Task Loss: 0.0936 || KD Loss: 0.0325|| 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: 16:43:50 || Estimated Time: 1 day, 2:51:39
2023-07-12 08:34:01,147 semantic_segmentation INFO: Iters: 19200/50000 || Lr: 0.012932 || Task Loss: 0.0987 || KD Loss: 0.0246|| 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: 16:44:21 || Estimated Time: 1 day, 2:51:07
2023-07-12 08:34:01,237 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 08:34:01,433 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.740
2023-07-12 08:34:01,455 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-12 08:34:01,467 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-12 08:34:01,479 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.738
2023-07-12 08:34:01,491 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-12 08:34:01,503 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.964, mIoU: 0.737
2023-07-12 08:34:01,515 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.964, mIoU: 0.737
2023-07-12 08:34:01,528 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-12 08:34:01,541 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-12 08:34:01,553 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 08:34:01,565 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 08:34:01,577 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 08:34:01,589 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-12 08:34:01,601 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-12 08:34:01,613 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 08:34:01,626 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-12 08:34:01,639 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.743
2023-07-12 08:34:01,652 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.744
2023-07-12 08:34:01,664 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 08:34:01,677 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 08:34:01,689 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 08:34:01,702 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 08:34:01,714 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 08:34:01,727 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 08:34:01,740 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 08:34:01,752 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 08:34:01,764 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 08:34:01,777 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 08:34:01,789 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 08:34:01,802 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 08:34:01,814 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 08:34:01,827 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 08:34:01,839 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 08:34:01,852 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 08:34:01,864 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 08:34:01,877 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-12 08:34:01,889 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 08:34:01,902 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 08:34:01,914 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 08:34:01,926 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 08:34:01,939 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 08:34:01,951 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 08:34:01,964 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 08:34:01,976 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.746
2023-07-12 08:34:01,988 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 08:34:02,001 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 08:34:02,013 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-12 08:34:02,025 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-12 08:34:02,038 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.751
2023-07-12 08:34:02,051 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 08:34:02,063 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-12 08:34:02,076 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.753
2023-07-12 08:34:02,088 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 08:34:02,100 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 08:34:02,113 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 08:34:02,125 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-12 08:34:02,138 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 08:34:02,151 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 08:34:02,163 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-12 08:34:02,176 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-12 08:34:02,188 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 08:34:02,200 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 08:34:02,213 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-12 08:34:02,225 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 08:34:02,238 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 08:34:02,250 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 08:34:02,262 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 08:34:02,274 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-12 08:34:02,287 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 08:34:02,299 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 08:34:02,311 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 08:34:02,323 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 08:34:02,336 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 08:34:02,348 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 08:34:02,360 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 08:34:02,372 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 08:34:02,384 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 08:34:02,397 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 08:34:02,409 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 08:34:02,421 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 08:34:02,434 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 08:34:02,446 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 08:34:02,459 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 08:34:02,472 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 08:34:02,484 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 08:34:02,497 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 08:34:02,510 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 08:34:02,522 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 08:34:02,534 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 08:34:02,548 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 08:34:02,561 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 08:34:02,574 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 08:34:02,586 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 08:34:02,599 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 08:34:02,611 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 08:34:02,624 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 08:34:02,636 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 08:34:02,647 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 08:34:02,659 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 08:34:02,671 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 08:34:02,683 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 08:34:33,957 semantic_segmentation INFO: Iters: 19210/50000 || Lr: 0.012928 || Task Loss: 0.1063 || KD Loss: 0.0327|| 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: 16:44:54 || Estimated Time: 1 day, 2:50:38
2023-07-12 08:35:04,899 semantic_segmentation INFO: Iters: 19220/50000 || Lr: 0.012924 || Task Loss: 0.0992 || 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: 16:45:25 || Estimated Time: 1 day, 2:50:06
2023-07-12 08:35:35,811 semantic_segmentation INFO: Iters: 19230/50000 || Lr: 0.012921 || Task Loss: 0.1205 || KD Loss: 0.0260|| 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: 16:45:56 || Estimated Time: 1 day, 2:49:34
2023-07-12 08:36:06,797 semantic_segmentation INFO: Iters: 19240/50000 || Lr: 0.012917 || Task Loss: 0.1114 || KD Loss: 0.0363|| 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: 16:46:27 || Estimated Time: 1 day, 2:49:02
2023-07-12 08:36:37,739 semantic_segmentation INFO: Iters: 19250/50000 || Lr: 0.012913 || Task Loss: 0.1049 || KD Loss: 0.0295|| 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: 16:46:57 || Estimated Time: 1 day, 2:48:30
2023-07-12 08:37:08,626 semantic_segmentation INFO: Iters: 19260/50000 || Lr: 0.012909 || Task Loss: 0.0982 || KD Loss: 0.0275|| 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: 16:47:28 || Estimated Time: 1 day, 2:47:58
2023-07-12 08:37:39,571 semantic_segmentation INFO: Iters: 19270/50000 || Lr: 0.012906 || Task Loss: 0.1020 || KD Loss: 0.0254|| 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: 16:47:59 || Estimated Time: 1 day, 2:47:25
2023-07-12 08:38:10,524 semantic_segmentation INFO: Iters: 19280/50000 || Lr: 0.012902 || Task Loss: 0.0994 || KD Loss: 0.0251|| 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: 16:48:30 || Estimated Time: 1 day, 2:46:53
2023-07-12 08:38:41,478 semantic_segmentation INFO: Iters: 19290/50000 || Lr: 0.012898 || Task Loss: 0.1129 || KD Loss: 0.0273|| 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: 16:49:01 || Estimated Time: 1 day, 2:46:21
2023-07-12 08:39:12,437 semantic_segmentation INFO: Iters: 19300/50000 || Lr: 0.012894 || Task Loss: 0.1059 || KD Loss: 0.0307|| 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: 16:49:32 || Estimated Time: 1 day, 2:45:49
2023-07-12 08:39:43,399 semantic_segmentation INFO: Iters: 19310/50000 || Lr: 0.012890 || Task Loss: 0.0980 || KD Loss: 0.0247|| 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: 16:50:03 || Estimated Time: 1 day, 2:45:17
2023-07-12 08:40:14,339 semantic_segmentation INFO: Iters: 19320/50000 || Lr: 0.012887 || Task Loss: 0.0950 || KD Loss: 0.0286|| 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: 16:50:34 || Estimated Time: 1 day, 2:44:45
2023-07-12 08:40:45,277 semantic_segmentation INFO: Iters: 19330/50000 || Lr: 0.012883 || Task Loss: 0.1000 || KD Loss: 0.0241|| 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: 16:51:05 || Estimated Time: 1 day, 2:44:13
2023-07-12 08:41:16,212 semantic_segmentation INFO: Iters: 19340/50000 || Lr: 0.012879 || Task Loss: 0.1150 || KD Loss: 0.0253|| 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: 16:51:36 || Estimated Time: 1 day, 2:43:41
2023-07-12 08:41:47,190 semantic_segmentation INFO: Iters: 19350/50000 || Lr: 0.012875 || Task Loss: 0.0997 || KD Loss: 0.0294|| 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: 16:52:07 || Estimated Time: 1 day, 2:43:09
2023-07-12 08:42:18,118 semantic_segmentation INFO: Iters: 19360/50000 || Lr: 0.012872 || Task Loss: 0.1182 || KD Loss: 0.0314|| 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: 16:52:38 || Estimated Time: 1 day, 2:42:37
2023-07-12 08:42:49,082 semantic_segmentation INFO: Iters: 19370/50000 || Lr: 0.012868 || Task Loss: 0.0984 || KD Loss: 0.0310|| 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: 16:53:09 || Estimated Time: 1 day, 2:42:05
2023-07-12 08:43:20,071 semantic_segmentation INFO: Iters: 19380/50000 || Lr: 0.012864 || Task Loss: 0.1134 || 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: 16:53:40 || Estimated Time: 1 day, 2:41:33
2023-07-12 08:43:51,008 semantic_segmentation INFO: Iters: 19390/50000 || Lr: 0.012860 || Task Loss: 0.0891 || KD Loss: 0.0266|| 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: 16:54:11 || Estimated Time: 1 day, 2:41:01
2023-07-12 08:44:21,982 semantic_segmentation INFO: Iters: 19400/50000 || Lr: 0.012856 || Task Loss: 0.1060 || KD Loss: 0.0245|| 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: 16:54:42 || Estimated Time: 1 day, 2:40:29
2023-07-12 08:44:52,928 semantic_segmentation INFO: Iters: 19410/50000 || Lr: 0.012853 || Task Loss: 0.1104 || KD Loss: 0.0293|| 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: 16:55:13 || Estimated Time: 1 day, 2:39:57
2023-07-12 08:45:23,892 semantic_segmentation INFO: Iters: 19420/50000 || Lr: 0.012849 || Task Loss: 0.1128 || KD Loss: 0.0292|| 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: 16:55:44 || Estimated Time: 1 day, 2:39:25
2023-07-12 08:45:54,868 semantic_segmentation INFO: Iters: 19430/50000 || Lr: 0.012845 || Task Loss: 0.0996 || KD Loss: 0.0275|| 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: 16:56:15 || Estimated Time: 1 day, 2:38:52
2023-07-12 08:46:25,812 semantic_segmentation INFO: Iters: 19440/50000 || Lr: 0.012841 || Task Loss: 0.0956 || KD Loss: 0.0288|| 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: 16:56:46 || Estimated Time: 1 day, 2:38:20
2023-07-12 08:46:56,768 semantic_segmentation INFO: Iters: 19450/50000 || Lr: 0.012837 || Task Loss: 0.0936 || KD Loss: 0.0304|| 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: 16:57:17 || Estimated Time: 1 day, 2:37:48
2023-07-12 08:47:27,753 semantic_segmentation INFO: Iters: 19460/50000 || Lr: 0.012834 || Task Loss: 0.1195 || KD Loss: 0.0278|| 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: 16:57:48 || Estimated Time: 1 day, 2:37:16
2023-07-12 08:47:58,716 semantic_segmentation INFO: Iters: 19470/50000 || Lr: 0.012830 || Task Loss: 0.1105 || KD Loss: 0.0253|| 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: 16:58:18 || Estimated Time: 1 day, 2:36:44
2023-07-12 08:48:29,706 semantic_segmentation INFO: Iters: 19480/50000 || Lr: 0.012826 || Task Loss: 0.0880 || KD Loss: 0.0241|| 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: 16:58:49 || Estimated Time: 1 day, 2:36:12
2023-07-12 08:49:00,684 semantic_segmentation INFO: Iters: 19490/50000 || Lr: 0.012822 || Task Loss: 0.1008 || KD Loss: 0.0270|| 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: 16:59:20 || Estimated Time: 1 day, 2:35:40
2023-07-12 08:49:31,625 semantic_segmentation INFO: Iters: 19500/50000 || Lr: 0.012819 || Task Loss: 0.1328 || KD Loss: 0.0259|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0790|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 16:59:51 || Estimated Time: 1 day, 2:35:08
2023-07-12 08:50:02,597 semantic_segmentation INFO: Iters: 19510/50000 || Lr: 0.012815 || Task Loss: 0.1246 || KD Loss: 0.0299|| 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: 17:00:22 || Estimated Time: 1 day, 2:34:36
2023-07-12 08:50:33,566 semantic_segmentation INFO: Iters: 19520/50000 || Lr: 0.012811 || Task Loss: 0.1098 || 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: 17:00:53 || Estimated Time: 1 day, 2:34:04
2023-07-12 08:51:04,510 semantic_segmentation INFO: Iters: 19530/50000 || Lr: 0.012807 || Task Loss: 0.0932 || 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: 17:01:24 || Estimated Time: 1 day, 2:33:32
2023-07-12 08:51:35,472 semantic_segmentation INFO: Iters: 19540/50000 || Lr: 0.012803 || Task Loss: 0.0865 || KD Loss: 0.0255|| 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: 17:01:55 || Estimated Time: 1 day, 2:33:00
2023-07-12 08:52:06,396 semantic_segmentation INFO: Iters: 19550/50000 || Lr: 0.012800 || Task Loss: 0.1067 || KD Loss: 0.0314|| 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: 17:02:26 || Estimated Time: 1 day, 2:32:28
2023-07-12 08:52:37,377 semantic_segmentation INFO: Iters: 19560/50000 || Lr: 0.012796 || Task Loss: 0.1059 || 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: 17:02:57 || Estimated Time: 1 day, 2:31:56
2023-07-12 08:53:08,366 semantic_segmentation INFO: Iters: 19570/50000 || Lr: 0.012792 || Task Loss: 0.0934 || KD Loss: 0.0268|| 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: 17:03:28 || Estimated Time: 1 day, 2:31:24
2023-07-12 08:53:39,376 semantic_segmentation INFO: Iters: 19580/50000 || Lr: 0.012788 || Task Loss: 0.1056 || KD Loss: 0.0309|| 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: 17:03:59 || Estimated Time: 1 day, 2:30:52
2023-07-12 08:54:10,323 semantic_segmentation INFO: Iters: 19590/50000 || Lr: 0.012785 || Task Loss: 0.1002 || KD Loss: 0.0314|| 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: 17:04:30 || Estimated Time: 1 day, 2:30:20
2023-07-12 08:54:41,268 semantic_segmentation INFO: Iters: 19600/50000 || Lr: 0.012781 || Task Loss: 0.0975 || 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: 17:05:01 || Estimated Time: 1 day, 2:29:48
2023-07-12 08:55:12,207 semantic_segmentation INFO: Iters: 19610/50000 || Lr: 0.012777 || Task Loss: 0.0869 || KD Loss: 0.0307|| 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: 17:05:32 || Estimated Time: 1 day, 2:29:16
2023-07-12 08:55:43,150 semantic_segmentation INFO: Iters: 19620/50000 || Lr: 0.012773 || Task Loss: 0.1130 || KD Loss: 0.0292|| 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: 17:06:03 || Estimated Time: 1 day, 2:28:44
2023-07-12 08:56:14,053 semantic_segmentation INFO: Iters: 19630/50000 || Lr: 0.012769 || Task Loss: 0.1197 || KD Loss: 0.0264|| 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: 17:06:34 || Estimated Time: 1 day, 2:28:12
2023-07-12 08:56:44,968 semantic_segmentation INFO: Iters: 19640/50000 || Lr: 0.012766 || Task Loss: 0.1127 || KD Loss: 0.0300|| 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: 17:07:05 || Estimated Time: 1 day, 2:27:40
2023-07-12 08:57:15,828 semantic_segmentation INFO: Iters: 19650/50000 || Lr: 0.012762 || Task Loss: 0.1057 || KD Loss: 0.0294|| 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: 17:07:36 || Estimated Time: 1 day, 2:27:08
2023-07-12 08:57:46,760 semantic_segmentation INFO: Iters: 19660/50000 || Lr: 0.012758 || Task Loss: 0.0957 || KD Loss: 0.0265|| 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: 17:08:07 || Estimated Time: 1 day, 2:26:35
2023-07-12 08:58:17,679 semantic_segmentation INFO: Iters: 19670/50000 || Lr: 0.012754 || Task Loss: 0.1059 || 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: 17:08:37 || Estimated Time: 1 day, 2:26:03
2023-07-12 08:58:48,559 semantic_segmentation INFO: Iters: 19680/50000 || Lr: 0.012750 || Task Loss: 0.1038 || KD Loss: 0.0241|| 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: 17:09:08 || Estimated Time: 1 day, 2:25:31
2023-07-12 08:59:19,453 semantic_segmentation INFO: Iters: 19690/50000 || Lr: 0.012747 || Task Loss: 0.1002 || KD Loss: 0.0305|| 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: 17:09:39 || Estimated Time: 1 day, 2:24:59
2023-07-12 08:59:50,330 semantic_segmentation INFO: Iters: 19700/50000 || Lr: 0.012743 || Task Loss: 0.1033 || KD Loss: 0.0273|| 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: 17:10:10 || Estimated Time: 1 day, 2:24:27
2023-07-12 09:00:21,213 semantic_segmentation INFO: Iters: 19710/50000 || Lr: 0.012739 || Task Loss: 0.1105 || KD Loss: 0.0319|| 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: 17:10:41 || Estimated Time: 1 day, 2:23:55
2023-07-12 09:00:52,095 semantic_segmentation INFO: Iters: 19720/50000 || Lr: 0.012735 || Task Loss: 0.1081 || KD Loss: 0.0327|| 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: 17:11:12 || Estimated Time: 1 day, 2:23:23
2023-07-12 09:01:22,946 semantic_segmentation INFO: Iters: 19730/50000 || Lr: 0.012732 || Task Loss: 0.1016 || KD Loss: 0.0311|| 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: 17:11:43 || Estimated Time: 1 day, 2:22:51
2023-07-12 09:01:53,761 semantic_segmentation INFO: Iters: 19740/50000 || Lr: 0.012728 || Task Loss: 0.1147 || KD Loss: 0.0290|| 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: 17:12:14 || Estimated Time: 1 day, 2:22:18
2023-07-12 09:02:24,652 semantic_segmentation INFO: Iters: 19750/50000 || Lr: 0.012724 || Task Loss: 0.1036 || KD Loss: 0.0273|| 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: 17:12:44 || Estimated Time: 1 day, 2:21:46
2023-07-12 09:02:55,470 semantic_segmentation INFO: Iters: 19760/50000 || Lr: 0.012720 || Task Loss: 0.1195 || 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: 17:13:15 || Estimated Time: 1 day, 2:21:14
2023-07-12 09:03:26,282 semantic_segmentation INFO: Iters: 19770/50000 || Lr: 0.012716 || Task Loss: 0.1024 || KD Loss: 0.0302|| 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: 17:13:46 || Estimated Time: 1 day, 2:20:42
2023-07-12 09:03:57,109 semantic_segmentation INFO: Iters: 19780/50000 || Lr: 0.012713 || Task Loss: 0.1112 || KD Loss: 0.0295|| 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: 17:14:17 || Estimated Time: 1 day, 2:20:10
2023-07-12 09:04:27,869 semantic_segmentation INFO: Iters: 19790/50000 || Lr: 0.012709 || Task Loss: 0.1117 || 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: 17:14:48 || Estimated Time: 1 day, 2:19:37
2023-07-12 09:04:58,705 semantic_segmentation INFO: Iters: 19800/50000 || Lr: 0.012705 || Task Loss: 0.0959 || KD Loss: 0.0260|| 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: 17:15:18 || Estimated Time: 1 day, 2:19:05
2023-07-12 09:05:29,536 semantic_segmentation INFO: Iters: 19810/50000 || Lr: 0.012701 || Task Loss: 0.1071 || KD Loss: 0.0279|| 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: 17:15:49 || Estimated Time: 1 day, 2:18:33
2023-07-12 09:06:00,386 semantic_segmentation INFO: Iters: 19820/50000 || Lr: 0.012697 || Task Loss: 0.1040 || KD Loss: 0.0248|| 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: 17:16:20 || Estimated Time: 1 day, 2:18:01
2023-07-12 09:06:31,126 semantic_segmentation INFO: Iters: 19830/50000 || Lr: 0.012694 || Task Loss: 0.1022 || KD Loss: 0.0289|| 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: 17:16:51 || Estimated Time: 1 day, 2:17:28
2023-07-12 09:07:01,908 semantic_segmentation INFO: Iters: 19840/50000 || Lr: 0.012690 || Task Loss: 0.0965 || KD Loss: 0.0259|| 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: 17:17:22 || Estimated Time: 1 day, 2:16:56
2023-07-12 09:07:32,693 semantic_segmentation INFO: Iters: 19850/50000 || Lr: 0.012686 || Task Loss: 0.0920 || KD Loss: 0.0314|| 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: 17:17:52 || Estimated Time: 1 day, 2:16:24
2023-07-12 09:08:03,508 semantic_segmentation INFO: Iters: 19860/50000 || Lr: 0.012682 || Task Loss: 0.0965 || KD Loss: 0.0259|| 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: 17:18:23 || Estimated Time: 1 day, 2:15:52
2023-07-12 09:08:34,291 semantic_segmentation INFO: Iters: 19870/50000 || Lr: 0.012679 || Task Loss: 0.1036 || 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: 17:18:54 || Estimated Time: 1 day, 2:15:19
2023-07-12 09:09:05,080 semantic_segmentation INFO: Iters: 19880/50000 || Lr: 0.012675 || Task Loss: 0.1211 || KD Loss: 0.0291|| 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: 17:19:25 || Estimated Time: 1 day, 2:14:47
2023-07-12 09:09:35,879 semantic_segmentation INFO: Iters: 19890/50000 || Lr: 0.012671 || Task Loss: 0.0999 || KD Loss: 0.0271|| 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: 17:19:56 || Estimated Time: 1 day, 2:14:15
2023-07-12 09:10:06,706 semantic_segmentation INFO: Iters: 19900/50000 || Lr: 0.012667 || Task Loss: 0.1006 || KD Loss: 0.0260|| 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: 17:20:26 || Estimated Time: 1 day, 2:13:43
2023-07-12 09:10:37,501 semantic_segmentation INFO: Iters: 19910/50000 || Lr: 0.012663 || Task Loss: 0.0922 || 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: 17:20:57 || Estimated Time: 1 day, 2:13:10
2023-07-12 09:11:08,310 semantic_segmentation INFO: Iters: 19920/50000 || Lr: 0.012660 || Task Loss: 0.1044 || KD Loss: 0.0339|| 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: 17:21:28 || Estimated Time: 1 day, 2:12:38
2023-07-12 09:11:39,128 semantic_segmentation INFO: Iters: 19930/50000 || Lr: 0.012656 || Task Loss: 0.1023 || KD Loss: 0.0252|| 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: 17:21:59 || Estimated Time: 1 day, 2:12:06
2023-07-12 09:12:09,939 semantic_segmentation INFO: Iters: 19940/50000 || Lr: 0.012652 || Task Loss: 0.1014 || KD Loss: 0.0258|| 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: 17:22:30 || Estimated Time: 1 day, 2:11:34
2023-07-12 09:12:40,747 semantic_segmentation INFO: Iters: 19950/50000 || Lr: 0.012648 || Task Loss: 0.0960 || KD Loss: 0.0267|| 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: 17:23:01 || Estimated Time: 1 day, 2:11:02
2023-07-12 09:13:11,512 semantic_segmentation INFO: Iters: 19960/50000 || Lr: 0.012644 || Task Loss: 0.1085 || KD Loss: 0.0269|| 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: 17:23:31 || Estimated Time: 1 day, 2:10:29
2023-07-12 09:13:42,294 semantic_segmentation INFO: Iters: 19970/50000 || Lr: 0.012641 || Task Loss: 0.0965 || KD Loss: 0.0311|| 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: 17:24:02 || Estimated Time: 1 day, 2:09:57
2023-07-12 09:14:13,087 semantic_segmentation INFO: Iters: 19980/50000 || Lr: 0.012637 || Task Loss: 0.0989 || 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: 17:24:33 || Estimated Time: 1 day, 2:09:25
2023-07-12 09:14:43,887 semantic_segmentation INFO: Iters: 19990/50000 || Lr: 0.012633 || Task Loss: 0.1006 || KD Loss: 0.0311|| 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: 17:25:04 || Estimated Time: 1 day, 2:08:53
2023-07-12 09:15:14,662 semantic_segmentation INFO: Iters: 20000/50000 || Lr: 0.012629 || Task Loss: 0.1065 || KD Loss: 0.0278|| 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: 17:25:34 || Estimated Time: 1 day, 2:08:20
2023-07-12 09:15:14,740 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 09:15:14,928 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 09:15:14,955 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 09:15:14,967 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 09:15:14,979 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.727
2023-07-12 09:15:14,991 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.723
2023-07-12 09:15:15,003 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.724
2023-07-12 09:15:15,015 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.725
2023-07-12 09:15:15,026 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.726
2023-07-12 09:15:15,038 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 09:15:15,050 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 09:15:15,062 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 09:15:15,074 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.724
2023-07-12 09:15:15,086 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.727
2023-07-12 09:15:15,098 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 09:15:15,110 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.731
2023-07-12 09:15:15,122 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 09:15:15,134 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 09:15:15,146 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.736
2023-07-12 09:15:15,157 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 09:15:15,169 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 09:15:15,181 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 09:15:15,194 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 09:15:15,206 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 09:15:15,219 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.731
2023-07-12 09:15:15,231 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 09:15:15,244 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 09:15:15,256 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 09:15:15,269 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 09:15:15,281 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 09:15:15,295 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 09:15:15,307 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 09:15:15,320 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.735
2023-07-12 09:15:15,332 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 09:15:15,344 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 09:15:15,356 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 09:15:15,369 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.733
2023-07-12 09:15:15,381 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.732
2023-07-12 09:15:15,394 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.732
2023-07-12 09:15:15,406 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.731
2023-07-12 09:15:15,418 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.732
2023-07-12 09:15:15,431 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.733
2023-07-12 09:15:15,443 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 09:15:15,455 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 09:15:15,468 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 09:15:15,480 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 09:15:15,493 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 09:15:15,505 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 09:15:15,517 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 09:15:15,529 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 09:15:15,542 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.742
2023-07-12 09:15:15,554 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.743
2023-07-12 09:15:15,567 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.744
2023-07-12 09:15:15,579 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.745
2023-07-12 09:15:15,591 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.745
2023-07-12 09:15:15,604 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.746
2023-07-12 09:15:15,616 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.747
2023-07-12 09:15:15,628 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.747
2023-07-12 09:15:15,641 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.748
2023-07-12 09:15:15,653 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.749
2023-07-12 09:15:15,665 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.750
2023-07-12 09:15:15,678 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.751
2023-07-12 09:15:15,690 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.752
2023-07-12 09:15:15,702 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.752
2023-07-12 09:15:15,714 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.753
2023-07-12 09:15:15,727 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.753
2023-07-12 09:15:15,739 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.754
2023-07-12 09:15:15,751 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.755
2023-07-12 09:15:15,763 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.756
2023-07-12 09:15:15,776 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.757
2023-07-12 09:15:15,788 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 09:15:15,801 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 09:15:15,813 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 09:15:15,826 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 09:15:15,839 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 09:15:15,851 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 09:15:15,864 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:15:15,876 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:15:15,889 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:15:15,902 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:15:15,914 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 09:15:15,927 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 09:15:15,940 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 09:15:15,952 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 09:15:15,965 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 09:15:15,977 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 09:15:15,990 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 09:15:16,002 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 09:15:16,013 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 09:15:16,025 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 09:15:16,037 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 09:15:16,049 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 09:15:16,060 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 09:15:16,072 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 09:15:16,084 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 09:15:16,096 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 09:15:16,107 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 09:15:16,119 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 09:15:16,131 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 09:15:16,142 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 09:15:16,154 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 09:15:16,166 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 09:15:46,965 semantic_segmentation INFO: Iters: 20010/50000 || Lr: 0.012626 || Task Loss: 0.0983 || 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: 17:26:07 || Estimated Time: 1 day, 2:07:50
2023-07-12 09:16:17,757 semantic_segmentation INFO: Iters: 20020/50000 || Lr: 0.012622 || Task Loss: 0.1088 || KD Loss: 0.0291|| 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: 17:26:38 || Estimated Time: 1 day, 2:07:18
2023-07-12 09:16:48,511 semantic_segmentation INFO: Iters: 20030/50000 || Lr: 0.012618 || Task Loss: 0.0968 || KD Loss: 0.0273|| 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: 17:27:08 || Estimated Time: 1 day, 2:06:46
2023-07-12 09:17:19,317 semantic_segmentation INFO: Iters: 20040/50000 || Lr: 0.012614 || Task Loss: 0.0997 || KD Loss: 0.0281|| 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: 17:27:39 || Estimated Time: 1 day, 2:06:14
2023-07-12 09:17:50,056 semantic_segmentation INFO: Iters: 20050/50000 || Lr: 0.012610 || Task Loss: 0.1042 || KD Loss: 0.0253|| 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: 17:28:10 || Estimated Time: 1 day, 2:05:41
2023-07-12 09:18:20,764 semantic_segmentation INFO: Iters: 20060/50000 || Lr: 0.012607 || Task Loss: 0.0895 || KD Loss: 0.0271|| 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: 17:28:41 || Estimated Time: 1 day, 2:05:09
2023-07-12 09:18:51,540 semantic_segmentation INFO: Iters: 20070/50000 || Lr: 0.012603 || Task Loss: 0.0896 || 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: 17:29:11 || Estimated Time: 1 day, 2:04:37
2023-07-12 09:19:22,344 semantic_segmentation INFO: Iters: 20080/50000 || Lr: 0.012599 || Task Loss: 0.1128 || KD Loss: 0.0310|| 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: 17:29:42 || Estimated Time: 1 day, 2:04:05
2023-07-12 09:19:53,134 semantic_segmentation INFO: Iters: 20090/50000 || Lr: 0.012595 || Task Loss: 0.1230 || KD Loss: 0.0276|| 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: 17:30:13 || Estimated Time: 1 day, 2:03:32
2023-07-12 09:20:23,919 semantic_segmentation INFO: Iters: 20100/50000 || Lr: 0.012591 || Task Loss: 0.1042 || KD Loss: 0.0270|| 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: 17:30:44 || Estimated Time: 1 day, 2:03:00
2023-07-12 09:20:54,671 semantic_segmentation INFO: Iters: 20110/50000 || Lr: 0.012588 || Task Loss: 0.0903 || KD Loss: 0.0262|| 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: 17:31:14 || Estimated Time: 1 day, 2:02:28
2023-07-12 09:21:25,489 semantic_segmentation INFO: Iters: 20120/50000 || Lr: 0.012584 || Task Loss: 0.1053 || KD Loss: 0.0277|| 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: 17:31:45 || Estimated Time: 1 day, 2:01:56
2023-07-12 09:21:56,288 semantic_segmentation INFO: Iters: 20130/50000 || Lr: 0.012580 || Task Loss: 0.1103 || KD Loss: 0.0254|| 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: 17:32:16 || Estimated Time: 1 day, 2:01:23
2023-07-12 09:22:27,059 semantic_segmentation INFO: Iters: 20140/50000 || Lr: 0.012576 || Task Loss: 0.1188 || KD Loss: 0.0308|| 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: 17:32:47 || Estimated Time: 1 day, 2:00:51
2023-07-12 09:22:57,797 semantic_segmentation INFO: Iters: 20150/50000 || Lr: 0.012572 || Task Loss: 0.1037 || KD Loss: 0.0241|| 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: 17:33:18 || Estimated Time: 1 day, 2:00:19
2023-07-12 09:23:28,582 semantic_segmentation INFO: Iters: 20160/50000 || Lr: 0.012569 || Task Loss: 0.1017 || KD Loss: 0.0274|| 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: 17:33:48 || Estimated Time: 1 day, 1:59:47
2023-07-12 09:23:59,318 semantic_segmentation INFO: Iters: 20170/50000 || Lr: 0.012565 || Task Loss: 0.1080 || KD Loss: 0.0310|| 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: 17:34:19 || Estimated Time: 1 day, 1:59:14
2023-07-12 09:24:30,083 semantic_segmentation INFO: Iters: 20180/50000 || Lr: 0.012561 || Task Loss: 0.1207 || KD Loss: 0.0377|| 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: 17:34:50 || Estimated Time: 1 day, 1:58:42
2023-07-12 09:25:00,876 semantic_segmentation INFO: Iters: 20190/50000 || Lr: 0.012557 || Task Loss: 0.1040 || KD Loss: 0.0266|| 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: 17:35:21 || Estimated Time: 1 day, 1:58:10
2023-07-12 09:25:31,676 semantic_segmentation INFO: Iters: 20200/50000 || Lr: 0.012553 || Task Loss: 0.0969 || KD Loss: 0.0302|| 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: 17:35:51 || Estimated Time: 1 day, 1:57:38
2023-07-12 09:26:02,402 semantic_segmentation INFO: Iters: 20210/50000 || Lr: 0.012550 || Task Loss: 0.0902 || 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: 17:36:22 || Estimated Time: 1 day, 1:57:05
2023-07-12 09:26:33,154 semantic_segmentation INFO: Iters: 20220/50000 || Lr: 0.012546 || Task Loss: 0.0973 || KD Loss: 0.0256|| 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: 17:36:53 || Estimated Time: 1 day, 1:56:33
2023-07-12 09:27:03,898 semantic_segmentation INFO: Iters: 20230/50000 || Lr: 0.012542 || Task Loss: 0.1005 || KD Loss: 0.0239|| 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: 17:37:24 || Estimated Time: 1 day, 1:56:01
2023-07-12 09:27:34,670 semantic_segmentation INFO: Iters: 20240/50000 || Lr: 0.012538 || Task Loss: 0.1129 || KD Loss: 0.0339|| 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: 17:37:54 || Estimated Time: 1 day, 1:55:29
2023-07-12 09:28:05,474 semantic_segmentation INFO: Iters: 20250/50000 || Lr: 0.012535 || Task Loss: 0.1024 || KD Loss: 0.0251|| 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: 17:38:25 || Estimated Time: 1 day, 1:54:57
2023-07-12 09:28:36,196 semantic_segmentation INFO: Iters: 20260/50000 || Lr: 0.012531 || Task Loss: 0.0973 || KD Loss: 0.0241|| 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: 17:38:56 || Estimated Time: 1 day, 1:54:24
2023-07-12 09:29:06,930 semantic_segmentation INFO: Iters: 20270/50000 || Lr: 0.012527 || Task Loss: 0.1032 || KD Loss: 0.0261|| 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: 17:39:27 || Estimated Time: 1 day, 1:53:52
2023-07-12 09:29:37,640 semantic_segmentation INFO: Iters: 20280/50000 || Lr: 0.012523 || Task Loss: 0.0900 || KD Loss: 0.0296|| 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: 17:39:57 || Estimated Time: 1 day, 1:53:20
2023-07-12 09:30:08,350 semantic_segmentation INFO: Iters: 20290/50000 || Lr: 0.012519 || Task Loss: 0.1099 || KD Loss: 0.0316|| 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: 17:40:28 || Estimated Time: 1 day, 1:52:47
2023-07-12 09:30:39,070 semantic_segmentation INFO: Iters: 20300/50000 || Lr: 0.012516 || Task Loss: 0.1284 || KD Loss: 0.0312|| 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: 17:40:59 || Estimated Time: 1 day, 1:52:15
2023-07-12 09:31:09,791 semantic_segmentation INFO: Iters: 20310/50000 || Lr: 0.012512 || Task Loss: 0.0920 || KD Loss: 0.0235|| 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: 17:41:30 || Estimated Time: 1 day, 1:51:43
2023-07-12 09:31:40,525 semantic_segmentation INFO: Iters: 20320/50000 || Lr: 0.012508 || Task Loss: 0.1092 || KD Loss: 0.0274|| 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: 17:42:00 || Estimated Time: 1 day, 1:51:10
2023-07-12 09:32:11,283 semantic_segmentation INFO: Iters: 20330/50000 || Lr: 0.012504 || Task Loss: 0.1047 || KD Loss: 0.0251|| 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: 17:42:31 || Estimated Time: 1 day, 1:50:38
2023-07-12 09:32:42,013 semantic_segmentation INFO: Iters: 20340/50000 || Lr: 0.012500 || Task Loss: 0.1083 || KD Loss: 0.0319|| 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: 17:43:02 || Estimated Time: 1 day, 1:50:06
2023-07-12 09:33:12,781 semantic_segmentation INFO: Iters: 20350/50000 || Lr: 0.012497 || Task Loss: 0.1021 || 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: 17:43:33 || Estimated Time: 1 day, 1:49:34
2023-07-12 09:33:43,557 semantic_segmentation INFO: Iters: 20360/50000 || Lr: 0.012493 || Task Loss: 0.1167 || KD Loss: 0.0347|| 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: 17:44:03 || Estimated Time: 1 day, 1:49:02
2023-07-12 09:34:14,319 semantic_segmentation INFO: Iters: 20370/50000 || Lr: 0.012489 || Task Loss: 0.0980 || KD Loss: 0.0321|| 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: 17:44:34 || Estimated Time: 1 day, 1:48:29
2023-07-12 09:34:45,051 semantic_segmentation INFO: Iters: 20380/50000 || Lr: 0.012485 || Task Loss: 0.1004 || KD Loss: 0.0268|| 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: 17:45:05 || Estimated Time: 1 day, 1:47:57
2023-07-12 09:35:15,753 semantic_segmentation INFO: Iters: 20390/50000 || Lr: 0.012481 || Task Loss: 0.1144 || KD Loss: 0.0276|| 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: 17:45:36 || Estimated Time: 1 day, 1:47:25
2023-07-12 09:35:46,476 semantic_segmentation INFO: Iters: 20400/50000 || Lr: 0.012478 || Task Loss: 0.1090 || KD Loss: 0.0313|| 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: 17:46:06 || Estimated Time: 1 day, 1:46:52
2023-07-12 09:36:17,204 semantic_segmentation INFO: Iters: 20410/50000 || Lr: 0.012474 || Task Loss: 0.0911 || KD Loss: 0.0309|| 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: 17:46:37 || Estimated Time: 1 day, 1:46:20
2023-07-12 09:36:47,923 semantic_segmentation INFO: Iters: 20420/50000 || Lr: 0.012470 || Task Loss: 0.0899 || KD Loss: 0.0292|| 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: 17:47:08 || Estimated Time: 1 day, 1:45:48
2023-07-12 09:37:18,644 semantic_segmentation INFO: Iters: 20430/50000 || Lr: 0.012466 || Task Loss: 0.0950 || KD Loss: 0.0270|| 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: 17:47:38 || Estimated Time: 1 day, 1:45:16
2023-07-12 09:37:49,352 semantic_segmentation INFO: Iters: 20440/50000 || Lr: 0.012462 || Task Loss: 0.1154 || KD Loss: 0.0290|| 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: 17:48:09 || Estimated Time: 1 day, 1:44:43
2023-07-12 09:38:20,125 semantic_segmentation INFO: Iters: 20450/50000 || Lr: 0.012459 || Task Loss: 0.1164 || KD Loss: 0.0328|| 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: 17:48:40 || Estimated Time: 1 day, 1:44:11
2023-07-12 09:38:50,880 semantic_segmentation INFO: Iters: 20460/50000 || Lr: 0.012455 || Task Loss: 0.0935 || KD Loss: 0.0280|| 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: 17:49:11 || Estimated Time: 1 day, 1:43:39
2023-07-12 09:39:21,676 semantic_segmentation INFO: Iters: 20470/50000 || Lr: 0.012451 || Task Loss: 0.1043 || 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: 17:49:41 || Estimated Time: 1 day, 1:43:07
2023-07-12 09:39:52,447 semantic_segmentation INFO: Iters: 20480/50000 || Lr: 0.012447 || Task Loss: 0.0926 || KD Loss: 0.0280|| 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: 17:50:12 || Estimated Time: 1 day, 1:42:35
2023-07-12 09:40:23,162 semantic_segmentation INFO: Iters: 20490/50000 || Lr: 0.012443 || Task Loss: 0.0977 || KD Loss: 0.0256|| 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: 17:50:43 || Estimated Time: 1 day, 1:42:02
2023-07-12 09:40:53,881 semantic_segmentation INFO: Iters: 20500/50000 || Lr: 0.012440 || Task Loss: 0.1273 || KD Loss: 0.0278|| 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: 17:51:14 || Estimated Time: 1 day, 1:41:30
2023-07-12 09:41:24,601 semantic_segmentation INFO: Iters: 20510/50000 || Lr: 0.012436 || Task Loss: 0.1027 || KD Loss: 0.0258|| 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: 17:51:44 || Estimated Time: 1 day, 1:40:58
2023-07-12 09:41:55,324 semantic_segmentation INFO: Iters: 20520/50000 || Lr: 0.012432 || Task Loss: 0.0821 || KD Loss: 0.0254|| 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: 17:52:15 || Estimated Time: 1 day, 1:40:26
2023-07-12 09:42:26,035 semantic_segmentation INFO: Iters: 20530/50000 || Lr: 0.012428 || Task Loss: 0.0972 || KD Loss: 0.0300|| 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: 17:52:46 || Estimated Time: 1 day, 1:39:53
2023-07-12 09:42:56,765 semantic_segmentation INFO: Iters: 20540/50000 || Lr: 0.012425 || Task Loss: 0.1066 || KD Loss: 0.0271|| 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: 17:53:17 || Estimated Time: 1 day, 1:39:21
2023-07-12 09:43:27,486 semantic_segmentation INFO: Iters: 20550/50000 || Lr: 0.012421 || Task Loss: 0.0980 || KD Loss: 0.0311|| 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: 17:53:47 || Estimated Time: 1 day, 1:38:49
2023-07-12 09:43:58,202 semantic_segmentation INFO: Iters: 20560/50000 || Lr: 0.012417 || Task Loss: 0.1012 || KD Loss: 0.0254|| 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: 17:54:18 || Estimated Time: 1 day, 1:38:17
2023-07-12 09:44:28,922 semantic_segmentation INFO: Iters: 20570/50000 || Lr: 0.012413 || Task Loss: 0.0838 || KD Loss: 0.0256|| 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: 17:54:49 || Estimated Time: 1 day, 1:37:44
2023-07-12 09:44:59,642 semantic_segmentation INFO: Iters: 20580/50000 || Lr: 0.012409 || Task Loss: 0.1131 || KD Loss: 0.0278|| 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: 17:55:19 || Estimated Time: 1 day, 1:37:12
2023-07-12 09:45:30,360 semantic_segmentation INFO: Iters: 20590/50000 || Lr: 0.012406 || Task Loss: 0.1076 || KD Loss: 0.0293|| 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: 17:55:50 || Estimated Time: 1 day, 1:36:40
2023-07-12 09:46:01,082 semantic_segmentation INFO: Iters: 20600/50000 || Lr: 0.012402 || Task Loss: 0.1032 || KD Loss: 0.0290|| 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: 17:56:21 || Estimated Time: 1 day, 1:36:08
2023-07-12 09:46:31,816 semantic_segmentation INFO: Iters: 20610/50000 || Lr: 0.012398 || Task Loss: 0.1066 || 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: 17:56:52 || Estimated Time: 1 day, 1:35:35
2023-07-12 09:47:02,526 semantic_segmentation INFO: Iters: 20620/50000 || Lr: 0.012394 || Task Loss: 0.0977 || KD Loss: 0.0291|| 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: 17:57:22 || Estimated Time: 1 day, 1:35:03
2023-07-12 09:47:33,240 semantic_segmentation INFO: Iters: 20630/50000 || Lr: 0.012390 || Task Loss: 0.1032 || 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: 17:57:53 || Estimated Time: 1 day, 1:34:31
2023-07-12 09:48:03,951 semantic_segmentation INFO: Iters: 20640/50000 || Lr: 0.012387 || Task Loss: 0.1135 || KD Loss: 0.0281|| 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: 17:58:24 || Estimated Time: 1 day, 1:33:59
2023-07-12 09:48:34,679 semantic_segmentation INFO: Iters: 20650/50000 || Lr: 0.012383 || Task Loss: 0.1091 || KD Loss: 0.0254|| 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: 17:58:54 || Estimated Time: 1 day, 1:33:26
2023-07-12 09:49:05,387 semantic_segmentation INFO: Iters: 20660/50000 || Lr: 0.012379 || Task Loss: 0.0916 || KD Loss: 0.0234|| 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: 17:59:25 || Estimated Time: 1 day, 1:32:54
2023-07-12 09:49:36,071 semantic_segmentation INFO: Iters: 20670/50000 || Lr: 0.012375 || Task Loss: 0.1000 || KD Loss: 0.0278|| 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: 17:59:56 || Estimated Time: 1 day, 1:32:22
2023-07-12 09:50:06,742 semantic_segmentation INFO: Iters: 20680/50000 || Lr: 0.012371 || Task Loss: 0.1085 || KD Loss: 0.0316|| 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: 18:00:27 || Estimated Time: 1 day, 1:31:49
2023-07-12 09:50:37,392 semantic_segmentation INFO: Iters: 20690/50000 || Lr: 0.012368 || Task Loss: 0.0974 || KD Loss: 0.0273|| 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: 18:00:57 || Estimated Time: 1 day, 1:31:17
2023-07-12 09:51:08,010 semantic_segmentation INFO: Iters: 20700/50000 || Lr: 0.012364 || Task Loss: 0.1128 || KD Loss: 0.0302|| 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: 18:01:28 || Estimated Time: 1 day, 1:30:45
2023-07-12 09:51:38,613 semantic_segmentation INFO: Iters: 20710/50000 || Lr: 0.012360 || Task Loss: 0.0858 || KD Loss: 0.0259|| 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: 18:01:58 || Estimated Time: 1 day, 1:30:12
2023-07-12 09:52:09,199 semantic_segmentation INFO: Iters: 20720/50000 || Lr: 0.012356 || Task Loss: 0.0878 || KD Loss: 0.0237|| 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: 18:02:29 || Estimated Time: 1 day, 1:29:40
2023-07-12 09:52:39,775 semantic_segmentation INFO: Iters: 20730/50000 || Lr: 0.012352 || Task Loss: 0.0963 || KD Loss: 0.0268|| 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: 18:03:00 || Estimated Time: 1 day, 1:29:07
2023-07-12 09:53:10,313 semantic_segmentation INFO: Iters: 20740/50000 || Lr: 0.012349 || Task Loss: 0.1022 || KD Loss: 0.0337|| 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: 18:03:30 || Estimated Time: 1 day, 1:28:35
2023-07-12 09:53:40,851 semantic_segmentation INFO: Iters: 20750/50000 || Lr: 0.012345 || Task Loss: 0.1014 || KD Loss: 0.0248|| 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: 18:04:01 || Estimated Time: 1 day, 1:28:03
2023-07-12 09:54:11,398 semantic_segmentation INFO: Iters: 20760/50000 || Lr: 0.012341 || Task Loss: 0.0964 || KD Loss: 0.0254|| 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: 18:04:31 || Estimated Time: 1 day, 1:27:30
2023-07-12 09:54:41,943 semantic_segmentation INFO: Iters: 20770/50000 || Lr: 0.012337 || Task Loss: 0.1040 || KD Loss: 0.0304|| 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: 18:05:02 || Estimated Time: 1 day, 1:26:58
2023-07-12 09:55:12,436 semantic_segmentation INFO: Iters: 20780/50000 || Lr: 0.012333 || Task Loss: 0.0990 || KD Loss: 0.0282|| 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: 18:05:32 || Estimated Time: 1 day, 1:26:25
2023-07-12 09:55:42,972 semantic_segmentation INFO: Iters: 20790/50000 || Lr: 0.012330 || Task Loss: 0.1087 || KD Loss: 0.0261|| 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: 18:06:03 || Estimated Time: 1 day, 1:25:53
2023-07-12 09:56:13,491 semantic_segmentation INFO: Iters: 20800/50000 || Lr: 0.012326 || Task Loss: 0.0938 || KD Loss: 0.0287|| 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: 18:06:33 || Estimated Time: 1 day, 1:25:20
2023-07-12 09:56:13,584 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 09:56:13,770 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.736
2023-07-12 09:56:13,791 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-12 09:56:13,803 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.738
2023-07-12 09:56:13,815 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 09:56:13,827 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.732
2023-07-12 09:56:13,839 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 09:56:13,851 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 09:56:13,863 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.732
2023-07-12 09:56:13,875 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.731
2023-07-12 09:56:13,888 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 09:56:13,900 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 09:56:13,912 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 09:56:13,923 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.735
2023-07-12 09:56:13,935 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-12 09:56:13,947 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-12 09:56:13,959 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 09:56:13,971 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.744
2023-07-12 09:56:13,984 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.745
2023-07-12 09:56:13,996 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-12 09:56:14,008 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 09:56:14,020 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 09:56:14,033 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 09:56:14,046 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 09:56:14,059 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 09:56:14,072 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 09:56:14,086 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 09:56:14,098 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 09:56:14,110 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 09:56:14,123 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 09:56:14,135 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 09:56:14,148 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 09:56:14,160 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-12 09:56:14,173 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-12 09:56:14,186 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-12 09:56:14,198 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-12 09:56:14,211 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-12 09:56:14,223 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-12 09:56:14,235 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.745
2023-07-12 09:56:14,247 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 09:56:14,258 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 09:56:14,270 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 09:56:14,283 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.958, mIoU: 0.747
2023-07-12 09:56:14,295 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.958, mIoU: 0.747
2023-07-12 09:56:14,307 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.748
2023-07-12 09:56:14,319 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 09:56:14,331 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-12 09:56:14,343 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-12 09:56:14,355 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.751
2023-07-12 09:56:14,367 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.752
2023-07-12 09:56:14,379 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.957, mIoU: 0.752
2023-07-12 09:56:14,391 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-12 09:56:14,403 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.753
2023-07-12 09:56:14,415 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.753
2023-07-12 09:56:14,428 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 09:56:14,441 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 09:56:14,453 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 09:56:14,465 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-12 09:56:14,478 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 09:56:14,491 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 09:56:14,503 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-12 09:56:14,515 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-12 09:56:14,528 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 09:56:14,540 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 09:56:14,553 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 09:56:14,565 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 09:56:14,578 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 09:56:14,590 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 09:56:14,603 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 09:56:14,615 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-12 09:56:14,627 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-12 09:56:14,639 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 09:56:14,651 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 09:56:14,663 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 09:56:14,675 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 09:56:14,687 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 09:56:14,699 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 09:56:14,711 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 09:56:14,723 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 09:56:14,735 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 09:56:14,747 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 09:56:14,759 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 09:56:14,771 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 09:56:14,783 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 09:56:14,795 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 09:56:14,807 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 09:56:14,818 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 09:56:14,830 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 09:56:14,842 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 09:56:14,854 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 09:56:14,866 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 09:56:14,878 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:56:14,889 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:56:14,901 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:56:14,913 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:56:14,925 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:56:14,937 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 09:56:14,949 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 09:56:14,961 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 09:56:14,973 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 09:56:14,985 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 09:56:14,997 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 09:56:45,764 semantic_segmentation INFO: Iters: 20810/50000 || Lr: 0.012322 || Task Loss: 0.0959 || KD Loss: 0.0256|| 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: 18:07:06 || Estimated Time: 1 day, 1:24:50
2023-07-12 09:57:16,273 semantic_segmentation INFO: Iters: 20820/50000 || Lr: 0.012318 || Task Loss: 0.1243 || KD Loss: 0.0300|| 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: 18:07:36 || Estimated Time: 1 day, 1:24:18
2023-07-12 09:57:46,802 semantic_segmentation INFO: Iters: 20830/50000 || Lr: 0.012314 || Task Loss: 0.0964 || KD Loss: 0.0263|| 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: 18:08:07 || Estimated Time: 1 day, 1:23:45
2023-07-12 09:58:17,357 semantic_segmentation INFO: Iters: 20840/50000 || Lr: 0.012311 || Task Loss: 0.1090 || KD Loss: 0.0267|| 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: 18:08:37 || Estimated Time: 1 day, 1:23:13
2023-07-12 09:58:47,846 semantic_segmentation INFO: Iters: 20850/50000 || Lr: 0.012307 || Task Loss: 0.0881 || KD Loss: 0.0299|| 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: 18:09:08 || Estimated Time: 1 day, 1:22:40
2023-07-12 09:59:18,303 semantic_segmentation INFO: Iters: 20860/50000 || Lr: 0.012303 || Task Loss: 0.0997 || KD Loss: 0.0267|| 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: 18:09:38 || Estimated Time: 1 day, 1:22:07
2023-07-12 09:59:48,833 semantic_segmentation INFO: Iters: 20870/50000 || Lr: 0.012299 || Task Loss: 0.1070 || KD Loss: 0.0281|| 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: 18:10:09 || Estimated Time: 1 day, 1:21:35
2023-07-12 10:00:19,323 semantic_segmentation INFO: Iters: 20880/50000 || Lr: 0.012295 || Task Loss: 0.1053 || KD Loss: 0.0251|| 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: 18:10:39 || Estimated Time: 1 day, 1:21:02
2023-07-12 10:00:49,814 semantic_segmentation INFO: Iters: 20890/50000 || Lr: 0.012292 || Task Loss: 0.1049 || KD Loss: 0.0297|| 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: 18:11:10 || Estimated Time: 1 day, 1:20:30
2023-07-12 10:01:20,322 semantic_segmentation INFO: Iters: 20900/50000 || Lr: 0.012288 || Task Loss: 0.1039 || KD Loss: 0.0265|| 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: 18:11:40 || Estimated Time: 1 day, 1:19:57
2023-07-12 10:01:50,817 semantic_segmentation INFO: Iters: 20910/50000 || Lr: 0.012284 || Task Loss: 0.1158 || KD Loss: 0.0292|| 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: 18:12:11 || Estimated Time: 1 day, 1:19:25
2023-07-12 10:02:21,271 semantic_segmentation INFO: Iters: 20920/50000 || Lr: 0.012280 || Task Loss: 0.0920 || KD Loss: 0.0252|| 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: 18:12:41 || Estimated Time: 1 day, 1:18:52
2023-07-12 10:02:51,763 semantic_segmentation INFO: Iters: 20930/50000 || Lr: 0.012276 || Task Loss: 0.1140 || KD Loss: 0.0309|| 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: 18:13:12 || Estimated Time: 1 day, 1:18:20
2023-07-12 10:03:22,216 semantic_segmentation INFO: Iters: 20940/50000 || Lr: 0.012273 || Task Loss: 0.1231 || KD Loss: 0.0304|| 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: 18:13:42 || Estimated Time: 1 day, 1:17:47
2023-07-12 10:03:52,675 semantic_segmentation INFO: Iters: 20950/50000 || Lr: 0.012269 || Task Loss: 0.0995 || KD Loss: 0.0273|| 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: 18:14:12 || Estimated Time: 1 day, 1:17:15
2023-07-12 10:04:23,137 semantic_segmentation INFO: Iters: 20960/50000 || Lr: 0.012265 || Task Loss: 0.1017 || KD Loss: 0.0256|| 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: 18:14:43 || Estimated Time: 1 day, 1:16:42
2023-07-12 10:04:53,592 semantic_segmentation INFO: Iters: 20970/50000 || Lr: 0.012261 || Task Loss: 0.1227 || KD Loss: 0.0271|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0763|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 18:15:13 || Estimated Time: 1 day, 1:16:10
2023-07-12 10:05:24,054 semantic_segmentation INFO: Iters: 20980/50000 || Lr: 0.012257 || Task Loss: 0.0947 || KD Loss: 0.0246|| 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: 18:15:44 || Estimated Time: 1 day, 1:15:37
2023-07-12 10:05:54,499 semantic_segmentation INFO: Iters: 20990/50000 || Lr: 0.012254 || Task Loss: 0.0943 || KD Loss: 0.0248|| 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: 18:16:14 || Estimated Time: 1 day, 1:15:05
2023-07-12 10:06:24,924 semantic_segmentation INFO: Iters: 21000/50000 || Lr: 0.012250 || Task Loss: 0.1090 || KD Loss: 0.0279|| 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: 18:16:45 || Estimated Time: 1 day, 1:14:32
2023-07-12 10:06:55,341 semantic_segmentation INFO: Iters: 21010/50000 || Lr: 0.012246 || Task Loss: 0.1315 || KD Loss: 0.0268|| 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: 18:17:15 || Estimated Time: 1 day, 1:13:59
2023-07-12 10:07:25,817 semantic_segmentation INFO: Iters: 21020/50000 || Lr: 0.012242 || Task Loss: 0.1004 || KD Loss: 0.0263|| 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: 18:17:46 || Estimated Time: 1 day, 1:13:27
2023-07-12 10:07:56,328 semantic_segmentation INFO: Iters: 21030/50000 || Lr: 0.012238 || Task Loss: 0.0865 || KD Loss: 0.0283|| 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: 18:18:16 || Estimated Time: 1 day, 1:12:54
2023-07-12 10:08:26,822 semantic_segmentation INFO: Iters: 21040/50000 || Lr: 0.012235 || Task Loss: 0.1248 || KD Loss: 0.0352|| 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: 18:18:47 || Estimated Time: 1 day, 1:12:22
2023-07-12 10:08:57,358 semantic_segmentation INFO: Iters: 21050/50000 || Lr: 0.012231 || Task Loss: 0.1127 || KD Loss: 0.0310|| 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: 18:19:17 || Estimated Time: 1 day, 1:11:49
2023-07-12 10:09:27,905 semantic_segmentation INFO: Iters: 21060/50000 || Lr: 0.012227 || Task Loss: 0.1018 || 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: 18:19:48 || Estimated Time: 1 day, 1:11:17
2023-07-12 10:09:58,436 semantic_segmentation INFO: Iters: 21070/50000 || Lr: 0.012223 || Task Loss: 0.1061 || KD Loss: 0.0322|| 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: 18:20:18 || Estimated Time: 1 day, 1:10:45
2023-07-12 10:10:28,932 semantic_segmentation INFO: Iters: 21080/50000 || Lr: 0.012219 || Task Loss: 0.1206 || KD Loss: 0.0301|| 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: 18:20:49 || Estimated Time: 1 day, 1:10:12
2023-07-12 10:10:59,389 semantic_segmentation INFO: Iters: 21090/50000 || Lr: 0.012216 || Task Loss: 0.1147 || KD Loss: 0.0270|| 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: 18:21:19 || Estimated Time: 1 day, 1:09:40
2023-07-12 10:11:29,845 semantic_segmentation INFO: Iters: 21100/50000 || Lr: 0.012212 || Task Loss: 0.1028 || KD Loss: 0.0276|| 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: 18:21:50 || Estimated Time: 1 day, 1:09:07
2023-07-12 10:12:00,256 semantic_segmentation INFO: Iters: 21110/50000 || Lr: 0.012208 || Task Loss: 0.0982 || KD Loss: 0.0270|| 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: 18:22:20 || Estimated Time: 1 day, 1:08:34
2023-07-12 10:12:30,655 semantic_segmentation INFO: Iters: 21120/50000 || Lr: 0.012204 || Task Loss: 0.1073 || KD Loss: 0.0257|| 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: 18:22:50 || Estimated Time: 1 day, 1:08:02
2023-07-12 10:13:01,067 semantic_segmentation INFO: Iters: 21130/50000 || Lr: 0.012200 || Task Loss: 0.1068 || KD Loss: 0.0259|| 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: 18:23:21 || Estimated Time: 1 day, 1:07:29
2023-07-12 10:13:31,493 semantic_segmentation INFO: Iters: 21140/50000 || Lr: 0.012197 || Task Loss: 0.1038 || 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: 18:23:51 || Estimated Time: 1 day, 1:06:57
2023-07-12 10:14:01,896 semantic_segmentation INFO: Iters: 21150/50000 || Lr: 0.012193 || Task Loss: 0.1348 || KD Loss: 0.0285|| 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: 18:24:22 || Estimated Time: 1 day, 1:06:24
2023-07-12 10:14:32,329 semantic_segmentation INFO: Iters: 21160/50000 || Lr: 0.012189 || Task Loss: 0.1161 || KD Loss: 0.0312|| 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: 18:24:52 || Estimated Time: 1 day, 1:05:52
2023-07-12 10:15:02,811 semantic_segmentation INFO: Iters: 21170/50000 || Lr: 0.012185 || Task Loss: 0.0967 || KD Loss: 0.0237|| 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: 18:25:23 || Estimated Time: 1 day, 1:05:19
2023-07-12 10:15:33,319 semantic_segmentation INFO: Iters: 21180/50000 || Lr: 0.012181 || Task Loss: 0.0962 || 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: 18:25:53 || Estimated Time: 1 day, 1:04:47
2023-07-12 10:16:03,826 semantic_segmentation INFO: Iters: 21190/50000 || Lr: 0.012178 || Task Loss: 0.0984 || KD Loss: 0.0327|| 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: 18:26:24 || Estimated Time: 1 day, 1:04:14
2023-07-12 10:16:34,317 semantic_segmentation INFO: Iters: 21200/50000 || Lr: 0.012174 || Task Loss: 0.1226 || KD Loss: 0.0341|| 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: 18:26:54 || Estimated Time: 1 day, 1:03:42
2023-07-12 10:17:04,839 semantic_segmentation INFO: Iters: 21210/50000 || Lr: 0.012170 || Task Loss: 0.0899 || KD Loss: 0.0283|| 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: 18:27:25 || Estimated Time: 1 day, 1:03:09
2023-07-12 10:17:35,346 semantic_segmentation INFO: Iters: 21220/50000 || Lr: 0.012166 || Task Loss: 0.1053 || KD Loss: 0.0280|| 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: 18:27:55 || Estimated Time: 1 day, 1:02:37
2023-07-12 10:18:05,857 semantic_segmentation INFO: Iters: 21230/50000 || Lr: 0.012162 || Task Loss: 0.0951 || 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: 18:28:26 || Estimated Time: 1 day, 1:02:04
2023-07-12 10:18:36,315 semantic_segmentation INFO: Iters: 21240/50000 || Lr: 0.012159 || Task Loss: 0.0982 || KD Loss: 0.0261|| 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: 18:28:56 || Estimated Time: 1 day, 1:01:32
2023-07-12 10:19:06,755 semantic_segmentation INFO: Iters: 21250/50000 || Lr: 0.012155 || Task Loss: 0.1026 || 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: 18:29:27 || Estimated Time: 1 day, 1:00:59
2023-07-12 10:19:37,188 semantic_segmentation INFO: Iters: 21260/50000 || Lr: 0.012151 || Task Loss: 0.0963 || KD Loss: 0.0294|| 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: 18:29:57 || Estimated Time: 1 day, 1:00:27
2023-07-12 10:20:07,610 semantic_segmentation INFO: Iters: 21270/50000 || Lr: 0.012147 || Task Loss: 0.1303 || KD Loss: 0.0325|| 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: 18:30:27 || Estimated Time: 1 day, 0:59:54
2023-07-12 10:20:38,013 semantic_segmentation INFO: Iters: 21280/50000 || Lr: 0.012143 || Task Loss: 0.1064 || KD Loss: 0.0241|| 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: 18:30:58 || Estimated Time: 1 day, 0:59:22
2023-07-12 10:21:08,476 semantic_segmentation INFO: Iters: 21290/50000 || Lr: 0.012139 || Task Loss: 0.1142 || KD Loss: 0.0268|| 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: 18:31:28 || Estimated Time: 1 day, 0:58:49
2023-07-12 10:21:38,941 semantic_segmentation INFO: Iters: 21300/50000 || Lr: 0.012136 || Task Loss: 0.1041 || KD Loss: 0.0276|| 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: 18:31:59 || Estimated Time: 1 day, 0:58:17
2023-07-12 10:22:09,393 semantic_segmentation INFO: Iters: 21310/50000 || Lr: 0.012132 || Task Loss: 0.1082 || KD Loss: 0.0265|| 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: 18:32:29 || Estimated Time: 1 day, 0:57:44
2023-07-12 10:22:39,901 semantic_segmentation INFO: Iters: 21320/50000 || Lr: 0.012128 || Task Loss: 0.0836 || KD Loss: 0.0262|| 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: 18:33:00 || Estimated Time: 1 day, 0:57:12
2023-07-12 10:23:10,447 semantic_segmentation INFO: Iters: 21330/50000 || Lr: 0.012124 || Task Loss: 0.0975 || KD Loss: 0.0299|| 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: 18:33:30 || Estimated Time: 1 day, 0:56:39
2023-07-12 10:23:40,942 semantic_segmentation INFO: Iters: 21340/50000 || Lr: 0.012120 || Task Loss: 0.0871 || KD Loss: 0.0261|| 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: 18:34:01 || Estimated Time: 1 day, 0:56:07
2023-07-12 10:24:11,418 semantic_segmentation INFO: Iters: 21350/50000 || Lr: 0.012117 || Task Loss: 0.0985 || KD Loss: 0.0273|| 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: 18:34:31 || Estimated Time: 1 day, 0:55:35
2023-07-12 10:24:41,840 semantic_segmentation INFO: Iters: 21360/50000 || Lr: 0.012113 || Task Loss: 0.0924 || KD Loss: 0.0264|| 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: 18:35:02 || Estimated Time: 1 day, 0:55:02
2023-07-12 10:25:12,265 semantic_segmentation INFO: Iters: 21370/50000 || Lr: 0.012109 || Task Loss: 0.0929 || KD Loss: 0.0324|| 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: 18:35:32 || Estimated Time: 1 day, 0:54:30
2023-07-12 10:25:42,680 semantic_segmentation INFO: Iters: 21380/50000 || Lr: 0.012105 || Task Loss: 0.1022 || KD Loss: 0.0238|| 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: 18:36:02 || Estimated Time: 1 day, 0:53:57
2023-07-12 10:26:13,078 semantic_segmentation INFO: Iters: 21390/50000 || Lr: 0.012101 || Task Loss: 0.0771 || 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: 18:36:33 || Estimated Time: 1 day, 0:53:24
2023-07-12 10:26:43,493 semantic_segmentation INFO: Iters: 21400/50000 || Lr: 0.012098 || Task Loss: 0.0881 || KD Loss: 0.0328|| 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: 18:37:03 || Estimated Time: 1 day, 0:52:52
2023-07-12 10:27:13,899 semantic_segmentation INFO: Iters: 21410/50000 || Lr: 0.012094 || Task Loss: 0.0954 || KD Loss: 0.0265|| 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: 18:37:34 || Estimated Time: 1 day, 0:52:19
2023-07-12 10:27:44,311 semantic_segmentation INFO: Iters: 21420/50000 || Lr: 0.012090 || Task Loss: 0.1057 || KD Loss: 0.0298|| 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: 18:38:04 || Estimated Time: 1 day, 0:51:47
2023-07-12 10:28:14,816 semantic_segmentation INFO: Iters: 21430/50000 || Lr: 0.012086 || Task Loss: 0.1011 || KD Loss: 0.0317|| 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: 18:38:35 || Estimated Time: 1 day, 0:51:14
2023-07-12 10:28:45,297 semantic_segmentation INFO: Iters: 21440/50000 || Lr: 0.012082 || Task Loss: 0.1193 || 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: 18:39:05 || Estimated Time: 1 day, 0:50:42
2023-07-12 10:29:15,765 semantic_segmentation INFO: Iters: 21450/50000 || Lr: 0.012079 || Task Loss: 0.1065 || 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: 18:39:36 || Estimated Time: 1 day, 0:50:10
2023-07-12 10:29:46,229 semantic_segmentation INFO: Iters: 21460/50000 || Lr: 0.012075 || Task Loss: 0.1000 || KD Loss: 0.0244|| 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: 18:40:06 || Estimated Time: 1 day, 0:49:37
2023-07-12 10:30:16,710 semantic_segmentation INFO: Iters: 21470/50000 || Lr: 0.012071 || Task Loss: 0.1044 || 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: 18:40:36 || Estimated Time: 1 day, 0:49:05
2023-07-12 10:30:47,165 semantic_segmentation INFO: Iters: 21480/50000 || Lr: 0.012067 || Task Loss: 0.1086 || KD Loss: 0.0258|| 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: 18:41:07 || Estimated Time: 1 day, 0:48:32
2023-07-12 10:31:17,604 semantic_segmentation INFO: Iters: 21490/50000 || Lr: 0.012063 || Task Loss: 0.1001 || KD Loss: 0.0257|| 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: 18:41:37 || Estimated Time: 1 day, 0:48:00
2023-07-12 10:31:48,040 semantic_segmentation INFO: Iters: 21500/50000 || Lr: 0.012060 || Task Loss: 0.1112 || KD Loss: 0.0316|| 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: 18:42:08 || Estimated Time: 1 day, 0:47:27
2023-07-12 10:32:18,481 semantic_segmentation INFO: Iters: 21510/50000 || Lr: 0.012056 || Task Loss: 0.0990 || KD Loss: 0.0265|| 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: 18:42:38 || Estimated Time: 1 day, 0:46:55
2023-07-12 10:32:48,887 semantic_segmentation INFO: Iters: 21520/50000 || Lr: 0.012052 || Task Loss: 0.1097 || KD Loss: 0.0248|| 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: 18:43:09 || Estimated Time: 1 day, 0:46:22
2023-07-12 10:33:19,279 semantic_segmentation INFO: Iters: 21530/50000 || Lr: 0.012048 || Task Loss: 0.0913 || KD Loss: 0.0250|| 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: 18:43:39 || Estimated Time: 1 day, 0:45:50
2023-07-12 10:33:49,692 semantic_segmentation INFO: Iters: 21540/50000 || Lr: 0.012044 || Task Loss: 0.1077 || KD Loss: 0.0254|| 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: 18:44:09 || Estimated Time: 1 day, 0:45:17
2023-07-12 10:34:20,140 semantic_segmentation INFO: Iters: 21550/50000 || Lr: 0.012041 || Task Loss: 0.1054 || KD Loss: 0.0282|| 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: 18:44:40 || Estimated Time: 1 day, 0:44:45
2023-07-12 10:34:50,598 semantic_segmentation INFO: Iters: 21560/50000 || Lr: 0.012037 || Task Loss: 0.0874 || KD Loss: 0.0265|| 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: 18:45:10 || Estimated Time: 1 day, 0:44:12
2023-07-12 10:35:21,058 semantic_segmentation INFO: Iters: 21570/50000 || Lr: 0.012033 || Task Loss: 0.1003 || KD Loss: 0.0308|| 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: 18:45:41 || Estimated Time: 1 day, 0:43:40
2023-07-12 10:35:51,505 semantic_segmentation INFO: Iters: 21580/50000 || Lr: 0.012029 || Task Loss: 0.0774 || KD Loss: 0.0279|| 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: 18:46:11 || Estimated Time: 1 day, 0:43:07
2023-07-12 10:36:21,990 semantic_segmentation INFO: Iters: 21590/50000 || Lr: 0.012025 || Task Loss: 0.1075 || KD Loss: 0.0337|| 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: 18:46:42 || Estimated Time: 1 day, 0:42:35
2023-07-12 10:36:52,466 semantic_segmentation INFO: Iters: 21600/50000 || Lr: 0.012021 || Task Loss: 0.0976 || 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: 18:47:12 || Estimated Time: 1 day, 0:42:03
2023-07-12 10:36:52,552 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 10:36:52,744 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 10:36:52,771 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 10:36:52,782 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-12 10:36:52,794 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 10:36:52,806 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.728
2023-07-12 10:36:52,817 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 10:36:52,830 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 10:36:52,842 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.728
2023-07-12 10:36:52,854 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 10:36:52,865 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.723
2023-07-12 10:36:52,877 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.725
2023-07-12 10:36:52,889 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.724
2023-07-12 10:36:52,901 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.727
2023-07-12 10:36:52,913 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.730
2023-07-12 10:36:52,925 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 10:36:52,937 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 10:36:52,949 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 10:36:52,962 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 10:36:52,974 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 10:36:52,986 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 10:36:52,998 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 10:36:53,011 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 10:36:53,023 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 10:36:53,036 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 10:36:53,048 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 10:36:53,060 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 10:36:53,072 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 10:36:53,085 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 10:36:53,097 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 10:36:53,109 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 10:36:53,122 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 10:36:53,134 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 10:36:53,146 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 10:36:53,158 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 10:36:53,170 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 10:36:53,182 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.735
2023-07-12 10:36:53,194 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 10:36:53,206 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 10:36:53,219 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.733
2023-07-12 10:36:53,231 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 10:36:53,243 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.735
2023-07-12 10:36:53,255 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.735
2023-07-12 10:36:53,266 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 10:36:53,278 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 10:36:53,290 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.737
2023-07-12 10:36:53,302 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.955, mIoU: 0.739
2023-07-12 10:36:53,315 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.955, mIoU: 0.740
2023-07-12 10:36:53,327 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 10:36:53,339 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 10:36:53,351 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.743
2023-07-12 10:36:53,363 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.743
2023-07-12 10:36:53,376 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.744
2023-07-12 10:36:53,389 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.745
2023-07-12 10:36:53,401 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.746
2023-07-12 10:36:53,414 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.953, mIoU: 0.746
2023-07-12 10:36:53,426 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.746
2023-07-12 10:36:53,439 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.747
2023-07-12 10:36:53,451 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.748
2023-07-12 10:36:53,464 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.749
2023-07-12 10:36:53,476 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.750
2023-07-12 10:36:53,489 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.952, mIoU: 0.751
2023-07-12 10:36:53,501 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.751
2023-07-12 10:36:53,514 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.752
2023-07-12 10:36:53,527 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.951, mIoU: 0.752
2023-07-12 10:36:53,541 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.753
2023-07-12 10:36:53,554 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.753
2023-07-12 10:36:53,566 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.754
2023-07-12 10:36:53,578 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.755
2023-07-12 10:36:53,590 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.949, mIoU: 0.756
2023-07-12 10:36:53,602 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.757
2023-07-12 10:36:53,614 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 10:36:53,626 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 10:36:53,638 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 10:36:53,650 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 10:36:53,662 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 10:36:53,673 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 10:36:53,685 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 10:36:53,697 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 10:36:53,709 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 10:36:53,721 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 10:36:53,733 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 10:36:53,745 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 10:36:53,757 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-12 10:36:53,769 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 10:36:53,782 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 10:36:53,794 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 10:36:53,806 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 10:36:53,818 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 10:36:53,830 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 10:36:53,842 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.754
2023-07-12 10:36:53,855 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.753
2023-07-12 10:36:53,867 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.753
2023-07-12 10:36:53,879 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.946, mIoU: 0.753
2023-07-12 10:36:53,891 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.753
2023-07-12 10:36:53,903 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.754
2023-07-12 10:36:53,915 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.754
2023-07-12 10:36:53,927 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.754
2023-07-12 10:36:53,939 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.947, mIoU: 0.754
2023-07-12 10:36:53,951 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.754
2023-07-12 10:36:53,963 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.754
2023-07-12 10:36:53,975 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.754
2023-07-12 10:37:24,470 semantic_segmentation INFO: Iters: 21610/50000 || Lr: 0.012018 || Task Loss: 0.0983 || KD Loss: 0.0257|| 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: 18:47:44 || Estimated Time: 1 day, 0:41:32
2023-07-12 10:37:54,888 semantic_segmentation INFO: Iters: 21620/50000 || Lr: 0.012014 || Task Loss: 0.1047 || KD Loss: 0.0276|| 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: 18:48:15 || Estimated Time: 1 day, 0:41:00
2023-07-12 10:38:25,299 semantic_segmentation INFO: Iters: 21630/50000 || Lr: 0.012010 || Task Loss: 0.1049 || KD Loss: 0.0260|| 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: 18:48:45 || Estimated Time: 1 day, 0:40:27
2023-07-12 10:38:55,683 semantic_segmentation INFO: Iters: 21640/50000 || Lr: 0.012006 || Task Loss: 0.1202 || KD Loss: 0.0278|| 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: 18:49:15 || Estimated Time: 1 day, 0:39:55
2023-07-12 10:39:26,048 semantic_segmentation INFO: Iters: 21650/50000 || Lr: 0.012002 || Task Loss: 0.0958 || KD Loss: 0.0248|| 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: 18:49:46 || Estimated Time: 1 day, 0:39:22
2023-07-12 10:39:56,466 semantic_segmentation INFO: Iters: 21660/50000 || Lr: 0.011999 || Task Loss: 0.0908 || KD Loss: 0.0280|| 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: 18:50:16 || Estimated Time: 1 day, 0:38:50
2023-07-12 10:40:26,891 semantic_segmentation INFO: Iters: 21670/50000 || Lr: 0.011995 || Task Loss: 0.1002 || KD Loss: 0.0281|| 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: 18:50:47 || Estimated Time: 1 day, 0:38:17
2023-07-12 10:40:57,359 semantic_segmentation INFO: Iters: 21680/50000 || Lr: 0.011991 || Task Loss: 0.1043 || KD Loss: 0.0260|| 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: 18:51:17 || Estimated Time: 1 day, 0:37:45
2023-07-12 10:41:27,821 semantic_segmentation INFO: Iters: 21690/50000 || Lr: 0.011987 || Task Loss: 0.1088 || KD Loss: 0.0319|| 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: 18:51:48 || Estimated Time: 1 day, 0:37:12
2023-07-12 10:41:58,284 semantic_segmentation INFO: Iters: 21700/50000 || Lr: 0.011983 || Task Loss: 0.0911 || KD Loss: 0.0254|| 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: 18:52:18 || Estimated Time: 1 day, 0:36:40
2023-07-12 10:42:28,733 semantic_segmentation INFO: Iters: 21710/50000 || Lr: 0.011980 || Task Loss: 0.1019 || KD Loss: 0.0303|| 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: 18:52:48 || Estimated Time: 1 day, 0:36:08
2023-07-12 10:42:59,190 semantic_segmentation INFO: Iters: 21720/50000 || Lr: 0.011976 || Task Loss: 0.1010 || KD Loss: 0.0304|| 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: 18:53:19 || Estimated Time: 1 day, 0:35:35
2023-07-12 10:43:29,605 semantic_segmentation INFO: Iters: 21730/50000 || Lr: 0.011972 || Task Loss: 0.1241 || KD Loss: 0.0293|| 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: 18:53:49 || Estimated Time: 1 day, 0:35:03
2023-07-12 10:44:00,008 semantic_segmentation INFO: Iters: 21740/50000 || Lr: 0.011968 || Task Loss: 0.0858 || KD Loss: 0.0296|| 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: 18:54:20 || Estimated Time: 1 day, 0:34:30
2023-07-12 10:44:30,383 semantic_segmentation INFO: Iters: 21750/50000 || Lr: 0.011964 || Task Loss: 0.1091 || KD Loss: 0.0254|| 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: 18:54:50 || Estimated Time: 1 day, 0:33:58
2023-07-12 10:45:00,792 semantic_segmentation INFO: Iters: 21760/50000 || Lr: 0.011960 || Task Loss: 0.1058 || 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: 18:55:21 || Estimated Time: 1 day, 0:33:25
2023-07-12 10:45:31,177 semantic_segmentation INFO: Iters: 21770/50000 || Lr: 0.011957 || Task Loss: 0.1063 || KD Loss: 0.0269|| 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: 18:55:51 || Estimated Time: 1 day, 0:32:53
2023-07-12 10:46:01,566 semantic_segmentation INFO: Iters: 21780/50000 || Lr: 0.011953 || Task Loss: 0.1071 || KD Loss: 0.0285|| 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: 18:56:21 || Estimated Time: 1 day, 0:32:20
2023-07-12 10:46:31,986 semantic_segmentation INFO: Iters: 21790/50000 || Lr: 0.011949 || Task Loss: 0.0989 || KD Loss: 0.0296|| 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: 18:56:52 || Estimated Time: 1 day, 0:31:48
2023-07-12 10:47:02,453 semantic_segmentation INFO: Iters: 21800/50000 || Lr: 0.011945 || Task Loss: 0.1040 || KD Loss: 0.0263|| 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: 18:57:22 || Estimated Time: 1 day, 0:31:15
2023-07-12 10:47:32,867 semantic_segmentation INFO: Iters: 21810/50000 || Lr: 0.011941 || Task Loss: 0.1092 || KD Loss: 0.0282|| 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: 18:57:53 || Estimated Time: 1 day, 0:30:43
2023-07-12 10:48:03,304 semantic_segmentation INFO: Iters: 21820/50000 || Lr: 0.011938 || Task Loss: 0.1016 || KD Loss: 0.0235|| 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: 18:58:23 || Estimated Time: 1 day, 0:30:11
2023-07-12 10:48:33,757 semantic_segmentation INFO: Iters: 21830/50000 || Lr: 0.011934 || Task Loss: 0.1061 || KD Loss: 0.0279|| 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: 18:58:54 || Estimated Time: 1 day, 0:29:38
2023-07-12 10:49:04,180 semantic_segmentation INFO: Iters: 21840/50000 || Lr: 0.011930 || Task Loss: 0.0979 || KD Loss: 0.0244|| 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: 18:59:24 || Estimated Time: 1 day, 0:29:06
2023-07-12 10:49:34,610 semantic_segmentation INFO: Iters: 21850/50000 || Lr: 0.011926 || Task Loss: 0.1111 || KD Loss: 0.0242|| 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: 18:59:54 || Estimated Time: 1 day, 0:28:33
2023-07-12 10:50:05,002 semantic_segmentation INFO: Iters: 21860/50000 || Lr: 0.011922 || Task Loss: 0.0896 || KD Loss: 0.0255|| 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: 19:00:25 || Estimated Time: 1 day, 0:28:01
2023-07-12 10:50:35,399 semantic_segmentation INFO: Iters: 21870/50000 || Lr: 0.011919 || Task Loss: 0.1027 || KD Loss: 0.0255|| 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: 19:00:55 || Estimated Time: 1 day, 0:27:28
2023-07-12 10:51:05,760 semantic_segmentation INFO: Iters: 21880/50000 || Lr: 0.011915 || Task Loss: 0.1129 || KD Loss: 0.0281|| 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: 19:01:26 || Estimated Time: 1 day, 0:26:56
2023-07-12 10:51:36,161 semantic_segmentation INFO: Iters: 21890/50000 || Lr: 0.011911 || Task Loss: 0.1082 || KD Loss: 0.0295|| 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: 19:01:56 || Estimated Time: 1 day, 0:26:23
2023-07-12 10:52:06,572 semantic_segmentation INFO: Iters: 21900/50000 || Lr: 0.011907 || Task Loss: 0.0990 || KD Loss: 0.0271|| 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: 19:02:26 || Estimated Time: 1 day, 0:25:51
2023-07-12 10:52:37,004 semantic_segmentation INFO: Iters: 21910/50000 || Lr: 0.011903 || Task Loss: 0.0985 || KD Loss: 0.0262|| 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: 19:02:57 || Estimated Time: 1 day, 0:25:19
2023-07-12 10:53:07,448 semantic_segmentation INFO: Iters: 21920/50000 || Lr: 0.011899 || Task Loss: 0.1146 || KD Loss: 0.0263|| 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: 19:03:27 || Estimated Time: 1 day, 0:24:46
2023-07-12 10:53:37,896 semantic_segmentation INFO: Iters: 21930/50000 || Lr: 0.011896 || Task Loss: 0.0882 || KD Loss: 0.0263|| 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: 19:03:58 || Estimated Time: 1 day, 0:24:14
2023-07-12 10:54:08,343 semantic_segmentation INFO: Iters: 21940/50000 || Lr: 0.011892 || Task Loss: 0.1208 || KD Loss: 0.0335|| 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: 19:04:28 || Estimated Time: 1 day, 0:23:41
2023-07-12 10:54:38,774 semantic_segmentation INFO: Iters: 21950/50000 || Lr: 0.011888 || Task Loss: 0.0944 || KD Loss: 0.0275|| 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: 19:04:59 || Estimated Time: 1 day, 0:23:09
2023-07-12 10:55:09,227 semantic_segmentation INFO: Iters: 21960/50000 || Lr: 0.011884 || Task Loss: 0.1128 || KD Loss: 0.0286|| 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: 19:05:29 || Estimated Time: 1 day, 0:22:37
2023-07-12 10:55:39,657 semantic_segmentation INFO: Iters: 21970/50000 || Lr: 0.011880 || Task Loss: 0.1163 || KD Loss: 0.0355|| 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: 19:05:59 || Estimated Time: 1 day, 0:22:04
2023-07-12 10:56:10,073 semantic_segmentation INFO: Iters: 21980/50000 || Lr: 0.011877 || Task Loss: 0.1140 || KD Loss: 0.0290|| 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: 19:06:30 || Estimated Time: 1 day, 0:21:32
2023-07-12 10:56:40,453 semantic_segmentation INFO: Iters: 21990/50000 || Lr: 0.011873 || Task Loss: 0.1006 || KD Loss: 0.0257|| 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: 19:07:00 || Estimated Time: 1 day, 0:20:59
2023-07-12 10:57:10,836 semantic_segmentation INFO: Iters: 22000/50000 || Lr: 0.011869 || Task Loss: 0.0949 || KD Loss: 0.0247|| 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: 19:07:31 || Estimated Time: 1 day, 0:20:27
2023-07-12 10:57:41,240 semantic_segmentation INFO: Iters: 22010/50000 || Lr: 0.011865 || Task Loss: 0.1025 || KD Loss: 0.0297|| 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: 19:08:01 || Estimated Time: 1 day, 0:19:54
2023-07-12 10:58:11,677 semantic_segmentation INFO: Iters: 22020/50000 || Lr: 0.011861 || Task Loss: 0.1101 || KD Loss: 0.0266|| 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: 19:08:31 || Estimated Time: 1 day, 0:19:22
2023-07-12 10:58:42,103 semantic_segmentation INFO: Iters: 22030/50000 || Lr: 0.011858 || Task Loss: 0.1048 || KD Loss: 0.0267|| 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: 19:09:02 || Estimated Time: 1 day, 0:18:50
2023-07-12 10:59:12,530 semantic_segmentation INFO: Iters: 22040/50000 || Lr: 0.011854 || Task Loss: 0.1101 || KD Loss: 0.0303|| 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: 19:09:32 || Estimated Time: 1 day, 0:18:17
2023-07-12 10:59:42,966 semantic_segmentation INFO: Iters: 22050/50000 || Lr: 0.011850 || Task Loss: 0.1082 || KD Loss: 0.0256|| 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: 19:10:03 || Estimated Time: 1 day, 0:17:45
2023-07-12 11:00:13,391 semantic_segmentation INFO: Iters: 22060/50000 || Lr: 0.011846 || Task Loss: 0.1048 || KD Loss: 0.0298|| 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: 19:10:33 || Estimated Time: 1 day, 0:17:12
2023-07-12 11:00:43,849 semantic_segmentation INFO: Iters: 22070/50000 || Lr: 0.011842 || Task Loss: 0.1057 || KD Loss: 0.0285|| 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: 19:11:04 || Estimated Time: 1 day, 0:16:40
2023-07-12 11:01:14,355 semantic_segmentation INFO: Iters: 22080/50000 || Lr: 0.011838 || Task Loss: 0.1195 || KD Loss: 0.0305|| 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: 19:11:34 || Estimated Time: 1 day, 0:16:08
2023-07-12 11:01:44,778 semantic_segmentation INFO: Iters: 22090/50000 || Lr: 0.011835 || Task Loss: 0.1019 || KD Loss: 0.0249|| 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: 19:12:05 || Estimated Time: 1 day, 0:15:35
2023-07-12 11:02:15,197 semantic_segmentation INFO: Iters: 22100/50000 || Lr: 0.011831 || Task Loss: 0.1006 || KD Loss: 0.0269|| 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: 19:12:35 || Estimated Time: 1 day, 0:15:03
2023-07-12 11:02:45,544 semantic_segmentation INFO: Iters: 22110/50000 || Lr: 0.011827 || Task Loss: 0.0832 || 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: 19:13:05 || Estimated Time: 1 day, 0:14:31
2023-07-12 11:03:15,926 semantic_segmentation INFO: Iters: 22120/50000 || Lr: 0.011823 || Task Loss: 0.1287 || KD Loss: 0.0256|| 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: 19:13:36 || Estimated Time: 1 day, 0:13:58
2023-07-12 11:03:46,300 semantic_segmentation INFO: Iters: 22130/50000 || Lr: 0.011819 || Task Loss: 0.0814 || 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: 19:14:06 || Estimated Time: 1 day, 0:13:26
2023-07-12 11:04:16,677 semantic_segmentation INFO: Iters: 22140/50000 || Lr: 0.011816 || Task Loss: 0.1106 || KD Loss: 0.0262|| 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: 19:14:36 || Estimated Time: 1 day, 0:12:53
2023-07-12 11:04:47,074 semantic_segmentation INFO: Iters: 22150/50000 || Lr: 0.011812 || Task Loss: 0.0975 || KD Loss: 0.0259|| 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: 19:15:07 || Estimated Time: 1 day, 0:12:21
2023-07-12 11:05:17,516 semantic_segmentation INFO: Iters: 22160/50000 || Lr: 0.011808 || Task Loss: 0.0995 || KD Loss: 0.0253|| 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: 19:15:37 || Estimated Time: 1 day, 0:11:48
2023-07-12 11:05:47,957 semantic_segmentation INFO: Iters: 22170/50000 || Lr: 0.011804 || Task Loss: 0.0985 || KD Loss: 0.0286|| 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: 19:16:08 || Estimated Time: 1 day, 0:11:16
2023-07-12 11:06:18,411 semantic_segmentation INFO: Iters: 22180/50000 || Lr: 0.011800 || Task Loss: 0.0973 || KD Loss: 0.0276|| 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: 19:16:38 || Estimated Time: 1 day, 0:10:44
2023-07-12 11:06:48,879 semantic_segmentation INFO: Iters: 22190/50000 || Lr: 0.011796 || Task Loss: 0.0929 || KD Loss: 0.0223|| 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: 19:17:09 || Estimated Time: 1 day, 0:10:11
2023-07-12 11:07:19,347 semantic_segmentation INFO: Iters: 22200/50000 || Lr: 0.011793 || Task Loss: 0.1051 || KD Loss: 0.0246|| 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: 19:17:39 || Estimated Time: 1 day, 0:09:39
2023-07-12 11:07:49,793 semantic_segmentation INFO: Iters: 22210/50000 || Lr: 0.011789 || Task Loss: 0.1049 || KD Loss: 0.0289|| 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: 19:18:10 || Estimated Time: 1 day, 0:09:07
2023-07-12 11:08:20,185 semantic_segmentation INFO: Iters: 22220/50000 || Lr: 0.011785 || Task Loss: 0.1010 || 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: 19:18:40 || Estimated Time: 1 day, 0:08:34
2023-07-12 11:08:50,584 semantic_segmentation INFO: Iters: 22230/50000 || Lr: 0.011781 || Task Loss: 0.0879 || KD Loss: 0.0257|| 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: 19:19:10 || Estimated Time: 1 day, 0:08:02
2023-07-12 11:09:20,946 semantic_segmentation INFO: Iters: 22240/50000 || Lr: 0.011777 || Task Loss: 0.1111 || KD Loss: 0.0322|| 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: 19:19:41 || Estimated Time: 1 day, 0:07:30
2023-07-12 11:09:51,357 semantic_segmentation INFO: Iters: 22250/50000 || Lr: 0.011774 || Task Loss: 0.1105 || KD Loss: 0.0250|| 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: 19:20:11 || Estimated Time: 1 day, 0:06:57
2023-07-12 11:10:21,728 semantic_segmentation INFO: Iters: 22260/50000 || Lr: 0.011770 || Task Loss: 0.0864 || KD Loss: 0.0243|| 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: 19:20:41 || Estimated Time: 1 day, 0:06:25
2023-07-12 11:10:52,117 semantic_segmentation INFO: Iters: 22270/50000 || Lr: 0.011766 || Task Loss: 0.1139 || KD Loss: 0.0260|| 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: 19:21:12 || Estimated Time: 1 day, 0:05:52
2023-07-12 11:11:22,491 semantic_segmentation INFO: Iters: 22280/50000 || Lr: 0.011762 || Task Loss: 0.1015 || 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: 19:21:42 || Estimated Time: 1 day, 0:05:20
2023-07-12 11:11:52,919 semantic_segmentation INFO: Iters: 22290/50000 || Lr: 0.011758 || Task Loss: 0.0959 || KD Loss: 0.0237|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0798|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:22:13 || Estimated Time: 1 day, 0:04:48
2023-07-12 11:12:23,355 semantic_segmentation INFO: Iters: 22300/50000 || Lr: 0.011754 || Task Loss: 0.1004 || KD Loss: 0.0283|| 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: 19:22:43 || Estimated Time: 1 day, 0:04:15
2023-07-12 11:12:53,818 semantic_segmentation INFO: Iters: 22310/50000 || Lr: 0.011751 || Task Loss: 0.1009 || KD Loss: 0.0300|| 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: 19:23:14 || Estimated Time: 1 day, 0:03:43
2023-07-12 11:13:24,296 semantic_segmentation INFO: Iters: 22320/50000 || Lr: 0.011747 || Task Loss: 0.0919 || KD Loss: 0.0249|| 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: 19:23:44 || Estimated Time: 1 day, 0:03:11
2023-07-12 11:13:54,736 semantic_segmentation INFO: Iters: 22330/50000 || Lr: 0.011743 || Task Loss: 0.1091 || KD Loss: 0.0276|| 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: 19:24:14 || Estimated Time: 1 day, 0:02:38
2023-07-12 11:14:25,173 semantic_segmentation INFO: Iters: 22340/50000 || Lr: 0.011739 || Task Loss: 0.1077 || KD Loss: 0.0305|| 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: 19:24:45 || Estimated Time: 1 day, 0:02:06
2023-07-12 11:14:55,558 semantic_segmentation INFO: Iters: 22350/50000 || Lr: 0.011735 || Task Loss: 0.1085 || KD Loss: 0.0318|| 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: 19:25:15 || Estimated Time: 1 day, 0:01:34
2023-07-12 11:15:25,955 semantic_segmentation INFO: Iters: 22360/50000 || Lr: 0.011732 || Task Loss: 0.0950 || KD Loss: 0.0263|| 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: 19:25:46 || Estimated Time: 1 day, 0:01:01
2023-07-12 11:15:56,316 semantic_segmentation INFO: Iters: 22370/50000 || Lr: 0.011728 || Task Loss: 0.0932 || KD Loss: 0.0223|| 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: 19:26:16 || Estimated Time: 1 day, 0:00:29
2023-07-12 11:16:26,698 semantic_segmentation INFO: Iters: 22380/50000 || Lr: 0.011724 || Task Loss: 0.1038 || KD Loss: 0.0284|| 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: 19:26:46 || Estimated Time: 23:59:56
2023-07-12 11:16:57,097 semantic_segmentation INFO: Iters: 22390/50000 || Lr: 0.011720 || Task Loss: 0.1073 || KD Loss: 0.0267|| 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: 19:27:17 || Estimated Time: 23:59:24
2023-07-12 11:17:27,490 semantic_segmentation INFO: Iters: 22400/50000 || Lr: 0.011716 || Task Loss: 0.1008 || KD Loss: 0.0261|| 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: 19:27:47 || Estimated Time: 23:58:52
2023-07-12 11:17:27,585 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 11:17:27,775 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 11:17:27,800 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 11:17:27,812 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 11:17:27,824 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.726
2023-07-12 11:17:27,836 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.720
2023-07-12 11:17:27,848 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.961, mIoU: 0.722
2023-07-12 11:17:27,860 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.961, mIoU: 0.723
2023-07-12 11:17:27,871 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 11:17:27,883 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.723
2023-07-12 11:17:27,895 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.723
2023-07-12 11:17:27,907 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.726
2023-07-12 11:17:27,919 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.726
2023-07-12 11:17:27,931 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.730
2023-07-12 11:17:27,943 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 11:17:27,955 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 11:17:27,967 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 11:17:27,979 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 11:17:27,992 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 11:17:28,004 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 11:17:28,016 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 11:17:28,028 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 11:17:28,040 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 11:17:28,052 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 11:17:28,064 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 11:17:28,076 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 11:17:28,088 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 11:17:28,100 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 11:17:28,112 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 11:17:28,125 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 11:17:28,137 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 11:17:28,149 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 11:17:28,161 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 11:17:28,173 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 11:17:28,185 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 11:17:28,197 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 11:17:28,209 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 11:17:28,221 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 11:17:28,233 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 11:17:28,245 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 11:17:28,258 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 11:17:28,270 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 11:17:28,282 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 11:17:28,294 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 11:17:28,307 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 11:17:28,319 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 11:17:28,331 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 11:17:28,343 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 11:17:28,356 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 11:17:28,368 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 11:17:28,380 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 11:17:28,392 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 11:17:28,405 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 11:17:28,417 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 11:17:28,429 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 11:17:28,441 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 11:17:28,453 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 11:17:28,465 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 11:17:28,477 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 11:17:28,489 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 11:17:28,501 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 11:17:28,513 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 11:17:28,526 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-12 11:17:28,538 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-12 11:17:28,550 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-12 11:17:28,562 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-12 11:17:28,574 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.758
2023-07-12 11:17:28,586 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-12 11:17:28,598 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 11:17:28,610 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 11:17:28,622 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-12 11:17:28,634 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 11:17:28,646 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 11:17:28,658 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 11:17:28,671 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 11:17:28,683 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 11:17:28,695 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 11:17:28,707 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 11:17:28,719 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 11:17:28,732 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 11:17:28,744 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 11:17:28,756 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 11:17:28,768 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 11:17:28,781 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 11:17:28,793 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 11:17:28,805 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 11:17:28,817 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 11:17:28,829 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 11:17:28,841 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-12 11:17:28,853 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-12 11:17:28,865 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 11:17:28,877 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-12 11:17:28,889 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-12 11:17:28,901 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 11:17:28,913 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 11:17:28,924 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 11:17:28,936 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 11:17:28,948 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 11:17:28,960 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 11:17:28,972 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 11:17:28,984 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 11:17:28,997 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 11:17:59,789 semantic_segmentation INFO: Iters: 22410/50000 || Lr: 0.011712 || Task Loss: 0.0984 || KD Loss: 0.0275|| 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: 19:28:20 || Estimated Time: 23:58:22
2023-07-12 11:18:30,203 semantic_segmentation INFO: Iters: 22420/50000 || Lr: 0.011709 || Task Loss: 0.1172 || KD Loss: 0.0264|| 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: 19:28:50 || Estimated Time: 23:57:49
2023-07-12 11:19:00,665 semantic_segmentation INFO: Iters: 22430/50000 || Lr: 0.011705 || Task Loss: 0.1054 || KD Loss: 0.0301|| 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: 19:29:20 || Estimated Time: 23:57:17
2023-07-12 11:19:31,136 semantic_segmentation INFO: Iters: 22440/50000 || Lr: 0.011701 || Task Loss: 0.1006 || KD Loss: 0.0244|| 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: 19:29:51 || Estimated Time: 23:56:45
2023-07-12 11:20:01,624 semantic_segmentation INFO: Iters: 22450/50000 || Lr: 0.011697 || Task Loss: 0.0917 || KD Loss: 0.0276|| 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: 19:30:21 || Estimated Time: 23:56:13
2023-07-12 11:20:32,047 semantic_segmentation INFO: Iters: 22460/50000 || Lr: 0.011693 || Task Loss: 0.1157 || KD Loss: 0.0248|| 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: 19:30:52 || Estimated Time: 23:55:40
2023-07-12 11:21:02,422 semantic_segmentation INFO: Iters: 22470/50000 || Lr: 0.011690 || Task Loss: 0.1181 || 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: 19:31:22 || Estimated Time: 23:55:08
2023-07-12 11:21:32,820 semantic_segmentation INFO: Iters: 22480/50000 || Lr: 0.011686 || Task Loss: 0.0921 || KD Loss: 0.0260|| 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: 19:31:53 || Estimated Time: 23:54:35
2023-07-12 11:22:03,183 semantic_segmentation INFO: Iters: 22490/50000 || Lr: 0.011682 || Task Loss: 0.1042 || 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: 19:32:23 || Estimated Time: 23:54:03
2023-07-12 11:22:33,572 semantic_segmentation INFO: Iters: 22500/50000 || Lr: 0.011678 || Task Loss: 0.0978 || KD Loss: 0.0329|| 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: 19:32:53 || Estimated Time: 23:53:31
2023-07-12 11:23:03,989 semantic_segmentation INFO: Iters: 22510/50000 || Lr: 0.011674 || Task Loss: 0.0945 || KD Loss: 0.0283|| 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: 19:33:24 || Estimated Time: 23:52:58
2023-07-12 11:23:34,425 semantic_segmentation INFO: Iters: 22520/50000 || Lr: 0.011670 || Task Loss: 0.1071 || KD Loss: 0.0301|| 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: 19:33:54 || Estimated Time: 23:52:26
2023-07-12 11:24:04,849 semantic_segmentation INFO: Iters: 22530/50000 || Lr: 0.011667 || Task Loss: 0.0975 || KD Loss: 0.0270|| 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: 19:34:25 || Estimated Time: 23:51:54
2023-07-12 11:24:35,335 semantic_segmentation INFO: Iters: 22540/50000 || Lr: 0.011663 || Task Loss: 0.0883 || KD Loss: 0.0300|| 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: 19:34:55 || Estimated Time: 23:51:22
2023-07-12 11:25:05,790 semantic_segmentation INFO: Iters: 22550/50000 || Lr: 0.011659 || Task Loss: 0.0847 || KD Loss: 0.0305|| 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: 19:35:26 || Estimated Time: 23:50:49
2023-07-12 11:25:36,252 semantic_segmentation INFO: Iters: 22560/50000 || Lr: 0.011655 || Task Loss: 0.0926 || KD Loss: 0.0269|| 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: 19:35:56 || Estimated Time: 23:50:17
2023-07-12 11:26:06,689 semantic_segmentation INFO: Iters: 22570/50000 || Lr: 0.011651 || Task Loss: 0.1157 || KD Loss: 0.0275|| 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: 19:36:26 || Estimated Time: 23:49:45
2023-07-12 11:26:37,083 semantic_segmentation INFO: Iters: 22580/50000 || Lr: 0.011647 || Task Loss: 0.0931 || KD Loss: 0.0255|| 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: 19:36:57 || Estimated Time: 23:49:12
2023-07-12 11:27:07,463 semantic_segmentation INFO: Iters: 22590/50000 || Lr: 0.011644 || Task Loss: 0.0967 || KD Loss: 0.0247|| 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: 19:37:27 || Estimated Time: 23:48:40
2023-07-12 11:27:37,816 semantic_segmentation INFO: Iters: 22600/50000 || Lr: 0.011640 || Task Loss: 0.1024 || KD Loss: 0.0247|| 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: 19:37:58 || Estimated Time: 23:48:08
2023-07-12 11:28:08,187 semantic_segmentation INFO: Iters: 22610/50000 || Lr: 0.011636 || Task Loss: 0.1029 || KD Loss: 0.0261|| 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: 19:38:28 || Estimated Time: 23:47:35
2023-07-12 11:28:38,549 semantic_segmentation INFO: Iters: 22620/50000 || Lr: 0.011632 || Task Loss: 0.0974 || KD Loss: 0.0279|| 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: 19:38:58 || Estimated Time: 23:47:03
2023-07-12 11:29:08,924 semantic_segmentation INFO: Iters: 22630/50000 || Lr: 0.011628 || Task Loss: 0.0995 || KD Loss: 0.0302|| 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: 19:39:29 || Estimated Time: 23:46:31
2023-07-12 11:29:39,328 semantic_segmentation INFO: Iters: 22640/50000 || Lr: 0.011625 || Task Loss: 0.0976 || KD Loss: 0.0310|| 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: 19:39:59 || Estimated Time: 23:45:58
2023-07-12 11:30:09,747 semantic_segmentation INFO: Iters: 22650/50000 || Lr: 0.011621 || Task Loss: 0.1097 || KD Loss: 0.0245|| 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: 19:40:30 || Estimated Time: 23:45:26
2023-07-12 11:30:40,199 semantic_segmentation INFO: Iters: 22660/50000 || Lr: 0.011617 || Task Loss: 0.0962 || KD Loss: 0.0281|| 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: 19:41:00 || Estimated Time: 23:44:54
2023-07-12 11:31:10,659 semantic_segmentation INFO: Iters: 22670/50000 || Lr: 0.011613 || Task Loss: 0.0915 || KD Loss: 0.0271|| 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: 19:41:30 || Estimated Time: 23:44:21
2023-07-12 11:31:41,066 semantic_segmentation INFO: Iters: 22680/50000 || Lr: 0.011609 || Task Loss: 0.1025 || KD Loss: 0.0261|| 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: 19:42:01 || Estimated Time: 23:43:49
2023-07-12 11:32:11,470 semantic_segmentation INFO: Iters: 22690/50000 || Lr: 0.011605 || Task Loss: 0.0964 || KD Loss: 0.0255|| 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: 19:42:31 || Estimated Time: 23:43:17
2023-07-12 11:32:41,843 semantic_segmentation INFO: Iters: 22700/50000 || Lr: 0.011602 || Task Loss: 0.0981 || KD Loss: 0.0249|| 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: 19:43:02 || Estimated Time: 23:42:44
2023-07-12 11:33:12,219 semantic_segmentation INFO: Iters: 22710/50000 || Lr: 0.011598 || Task Loss: 0.0919 || KD Loss: 0.0248|| 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: 19:43:32 || Estimated Time: 23:42:12
2023-07-12 11:33:42,604 semantic_segmentation INFO: Iters: 22720/50000 || Lr: 0.011594 || Task Loss: 0.1172 || KD Loss: 0.0267|| 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: 19:44:02 || Estimated Time: 23:41:40
2023-07-12 11:34:13,011 semantic_segmentation INFO: Iters: 22730/50000 || Lr: 0.011590 || Task Loss: 0.0926 || KD Loss: 0.0264|| 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: 19:44:33 || Estimated Time: 23:41:07
2023-07-12 11:34:43,441 semantic_segmentation INFO: Iters: 22740/50000 || Lr: 0.011586 || Task Loss: 0.1082 || KD Loss: 0.0274|| 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: 19:45:03 || Estimated Time: 23:40:35
2023-07-12 11:35:13,877 semantic_segmentation INFO: Iters: 22750/50000 || Lr: 0.011582 || Task Loss: 0.1006 || KD Loss: 0.0329|| 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: 19:45:34 || Estimated Time: 23:40:03
2023-07-12 11:35:44,310 semantic_segmentation INFO: Iters: 22760/50000 || Lr: 0.011579 || Task Loss: 0.1269 || KD Loss: 0.0250|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0739|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 19:46:04 || Estimated Time: 23:39:31
2023-07-12 11:36:14,788 semantic_segmentation INFO: Iters: 22770/50000 || Lr: 0.011575 || Task Loss: 0.0813 || KD Loss: 0.0246|| 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: 19:46:35 || Estimated Time: 23:38:58
2023-07-12 11:36:45,306 semantic_segmentation INFO: Iters: 22780/50000 || Lr: 0.011571 || Task Loss: 0.0965 || KD Loss: 0.0232|| 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: 19:47:05 || Estimated Time: 23:38:26
2023-07-12 11:37:15,793 semantic_segmentation INFO: Iters: 22790/50000 || Lr: 0.011567 || Task Loss: 0.1003 || KD Loss: 0.0271|| 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: 19:47:36 || Estimated Time: 23:37:54
2023-07-12 11:37:46,257 semantic_segmentation INFO: Iters: 22800/50000 || Lr: 0.011563 || Task Loss: 0.1078 || KD Loss: 0.0256|| 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: 19:48:06 || Estimated Time: 23:37:22
2023-07-12 11:38:16,662 semantic_segmentation INFO: Iters: 22810/50000 || Lr: 0.011560 || Task Loss: 0.0942 || KD Loss: 0.0240|| 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: 19:48:36 || Estimated Time: 23:36:50
2023-07-12 11:38:47,034 semantic_segmentation INFO: Iters: 22820/50000 || Lr: 0.011556 || Task Loss: 0.1114 || KD Loss: 0.0297|| 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: 19:49:07 || Estimated Time: 23:36:17
2023-07-12 11:39:17,405 semantic_segmentation INFO: Iters: 22830/50000 || Lr: 0.011552 || Task Loss: 0.1190 || KD Loss: 0.0308|| 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: 19:49:37 || Estimated Time: 23:35:45
2023-07-12 11:39:47,792 semantic_segmentation INFO: Iters: 22840/50000 || Lr: 0.011548 || Task Loss: 0.1035 || KD Loss: 0.0256|| 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: 19:50:08 || Estimated Time: 23:35:13
2023-07-12 11:40:18,193 semantic_segmentation INFO: Iters: 22850/50000 || Lr: 0.011544 || Task Loss: 0.1073 || 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: 19:50:38 || Estimated Time: 23:34:40
2023-07-12 11:40:48,618 semantic_segmentation INFO: Iters: 22860/50000 || Lr: 0.011540 || Task Loss: 0.0943 || KD Loss: 0.0226|| 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: 19:51:08 || Estimated Time: 23:34:08
2023-07-12 11:41:19,050 semantic_segmentation INFO: Iters: 22870/50000 || Lr: 0.011537 || Task Loss: 0.1029 || KD Loss: 0.0262|| 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: 19:51:39 || Estimated Time: 23:33:36
2023-07-12 11:41:49,493 semantic_segmentation INFO: Iters: 22880/50000 || Lr: 0.011533 || Task Loss: 0.0897 || KD Loss: 0.0268|| 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: 19:52:09 || Estimated Time: 23:33:04
2023-07-12 11:42:19,935 semantic_segmentation INFO: Iters: 22890/50000 || Lr: 0.011529 || Task Loss: 0.0819 || KD Loss: 0.0273|| 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: 19:52:40 || Estimated Time: 23:32:31
2023-07-12 11:42:50,398 semantic_segmentation INFO: Iters: 22900/50000 || Lr: 0.011525 || Task Loss: 0.1080 || KD Loss: 0.0259|| 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: 19:53:10 || Estimated Time: 23:31:59
2023-07-12 11:43:20,890 semantic_segmentation INFO: Iters: 22910/50000 || Lr: 0.011521 || Task Loss: 0.0940 || KD Loss: 0.0238|| 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: 19:53:41 || Estimated Time: 23:31:27
2023-07-12 11:43:51,352 semantic_segmentation INFO: Iters: 22920/50000 || Lr: 0.011517 || Task Loss: 0.0964 || KD Loss: 0.0231|| 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: 19:54:11 || Estimated Time: 23:30:55
2023-07-12 11:44:21,761 semantic_segmentation INFO: Iters: 22930/50000 || Lr: 0.011514 || Task Loss: 0.0951 || KD Loss: 0.0288|| 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: 19:54:42 || Estimated Time: 23:30:22
2023-07-12 11:44:52,121 semantic_segmentation INFO: Iters: 22940/50000 || Lr: 0.011510 || Task Loss: 0.0952 || KD Loss: 0.0236|| 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: 19:55:12 || Estimated Time: 23:29:50
2023-07-12 11:45:22,514 semantic_segmentation INFO: Iters: 22950/50000 || Lr: 0.011506 || Task Loss: 0.0973 || KD Loss: 0.0232|| 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: 19:55:42 || Estimated Time: 23:29:18
2023-07-12 11:45:52,929 semantic_segmentation INFO: Iters: 22960/50000 || Lr: 0.011502 || Task Loss: 0.0968 || 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: 19:56:13 || Estimated Time: 23:28:46
2023-07-12 11:46:23,318 semantic_segmentation INFO: Iters: 22970/50000 || Lr: 0.011498 || Task Loss: 0.1029 || KD Loss: 0.0262|| 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: 19:56:43 || Estimated Time: 23:28:13
2023-07-12 11:46:53,732 semantic_segmentation INFO: Iters: 22980/50000 || Lr: 0.011494 || Task Loss: 0.0994 || KD Loss: 0.0302|| 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: 19:57:13 || Estimated Time: 23:27:41
2023-07-12 11:47:24,151 semantic_segmentation INFO: Iters: 22990/50000 || Lr: 0.011491 || Task Loss: 0.0970 || KD Loss: 0.0236|| 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: 19:57:44 || Estimated Time: 23:27:09
2023-07-12 11:47:54,568 semantic_segmentation INFO: Iters: 23000/50000 || Lr: 0.011487 || Task Loss: 0.0964 || KD Loss: 0.0270|| 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: 19:58:14 || Estimated Time: 23:26:37
2023-07-12 11:48:25,022 semantic_segmentation INFO: Iters: 23010/50000 || Lr: 0.011483 || Task Loss: 0.1026 || KD Loss: 0.0297|| 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: 19:58:45 || Estimated Time: 23:26:04
2023-07-12 11:48:55,452 semantic_segmentation INFO: Iters: 23020/50000 || Lr: 0.011479 || Task Loss: 0.0889 || KD Loss: 0.0240|| 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: 19:59:15 || Estimated Time: 23:25:32
2023-07-12 11:49:25,890 semantic_segmentation INFO: Iters: 23030/50000 || Lr: 0.011475 || Task Loss: 0.1109 || KD Loss: 0.0255|| 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: 19:59:46 || Estimated Time: 23:25:00
2023-07-12 11:49:56,310 semantic_segmentation INFO: Iters: 23040/50000 || Lr: 0.011471 || Task Loss: 0.0942 || KD Loss: 0.0252|| 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: 20:00:16 || Estimated Time: 23:24:28
2023-07-12 11:50:26,726 semantic_segmentation INFO: Iters: 23050/50000 || Lr: 0.011468 || Task Loss: 0.0983 || KD Loss: 0.0278|| 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: 20:00:46 || Estimated Time: 23:23:55
2023-07-12 11:50:57,083 semantic_segmentation INFO: Iters: 23060/50000 || Lr: 0.011464 || Task Loss: 0.1115 || KD Loss: 0.0267|| 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: 20:01:17 || Estimated Time: 23:23:23
2023-07-12 11:51:27,416 semantic_segmentation INFO: Iters: 23070/50000 || Lr: 0.011460 || Task Loss: 0.1036 || KD Loss: 0.0258|| 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: 20:01:47 || Estimated Time: 23:22:51
2023-07-12 11:51:57,756 semantic_segmentation INFO: Iters: 23080/50000 || Lr: 0.011456 || Task Loss: 0.0933 || KD Loss: 0.0255|| 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: 20:02:18 || Estimated Time: 23:22:18
2023-07-12 11:52:28,116 semantic_segmentation INFO: Iters: 23090/50000 || Lr: 0.011452 || Task Loss: 0.0901 || KD Loss: 0.0273|| 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: 20:02:48 || Estimated Time: 23:21:46
2023-07-12 11:52:58,538 semantic_segmentation INFO: Iters: 23100/50000 || Lr: 0.011448 || Task Loss: 0.0922 || KD Loss: 0.0282|| 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: 20:03:18 || Estimated Time: 23:21:14
2023-07-12 11:53:28,945 semantic_segmentation INFO: Iters: 23110/50000 || Lr: 0.011445 || Task Loss: 0.0901 || KD Loss: 0.0243|| 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: 20:03:49 || Estimated Time: 23:20:42
2023-07-12 11:53:59,388 semantic_segmentation INFO: Iters: 23120/50000 || Lr: 0.011441 || Task Loss: 0.1216 || KD Loss: 0.0287|| 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: 20:04:19 || Estimated Time: 23:20:10
2023-07-12 11:54:29,831 semantic_segmentation INFO: Iters: 23130/50000 || Lr: 0.011437 || Task Loss: 0.1090 || KD Loss: 0.0264|| 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: 20:04:50 || Estimated Time: 23:19:37
2023-07-12 11:55:00,292 semantic_segmentation INFO: Iters: 23140/50000 || Lr: 0.011433 || Task Loss: 0.0928 || KD Loss: 0.0312|| 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: 20:05:20 || Estimated Time: 23:19:05
2023-07-12 11:55:30,755 semantic_segmentation INFO: Iters: 23150/50000 || Lr: 0.011429 || Task Loss: 0.1006 || KD Loss: 0.0264|| 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: 20:05:51 || Estimated Time: 23:18:33
2023-07-12 11:56:01,201 semantic_segmentation INFO: Iters: 23160/50000 || Lr: 0.011426 || Task Loss: 0.1021 || KD Loss: 0.0251|| 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: 20:06:21 || Estimated Time: 23:18:01
2023-07-12 11:56:31,591 semantic_segmentation INFO: Iters: 23170/50000 || Lr: 0.011422 || Task Loss: 0.1030 || KD Loss: 0.0295|| 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: 20:06:51 || Estimated Time: 23:17:29
2023-07-12 11:57:01,998 semantic_segmentation INFO: Iters: 23180/50000 || Lr: 0.011418 || Task Loss: 0.1191 || KD Loss: 0.0278|| 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: 20:07:22 || Estimated Time: 23:16:56
2023-07-12 11:57:32,338 semantic_segmentation INFO: Iters: 23190/50000 || Lr: 0.011414 || Task Loss: 0.0981 || KD Loss: 0.0277|| 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: 20:07:52 || Estimated Time: 23:16:24
2023-07-12 11:58:02,688 semantic_segmentation INFO: Iters: 23200/50000 || Lr: 0.011410 || Task Loss: 0.0949 || KD Loss: 0.0254|| 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: 20:08:22 || Estimated Time: 23:15:52
2023-07-12 11:58:02,756 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 11:58:02,943 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.733
2023-07-12 11:58:02,967 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.735
2023-07-12 11:58:02,979 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.738
2023-07-12 11:58:02,991 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 11:58:03,003 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 11:58:03,015 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 11:58:03,027 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 11:58:03,039 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.731
2023-07-12 11:58:03,051 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 11:58:03,063 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 11:58:03,075 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 11:58:03,087 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.729
2023-07-12 11:58:03,099 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 11:58:03,112 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 11:58:03,124 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-12 11:58:03,135 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-12 11:58:03,147 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.740
2023-07-12 11:58:03,159 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.741
2023-07-12 11:58:03,172 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-12 11:58:03,185 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 11:58:03,197 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-12 11:58:03,210 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 11:58:03,222 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 11:58:03,234 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 11:58:03,246 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 11:58:03,259 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 11:58:03,271 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 11:58:03,284 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 11:58:03,296 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 11:58:03,309 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 11:58:03,321 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 11:58:03,334 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 11:58:03,346 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 11:58:03,358 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 11:58:03,370 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 11:58:03,383 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 11:58:03,395 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 11:58:03,408 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 11:58:03,420 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.736
2023-07-12 11:58:03,432 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.737
2023-07-12 11:58:03,445 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 11:58:03,456 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 11:58:03,468 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 11:58:03,480 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 11:58:03,492 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 11:58:03,505 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 11:58:03,517 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 11:58:03,529 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 11:58:03,541 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 11:58:03,553 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 11:58:03,565 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 11:58:03,577 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 11:58:03,589 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 11:58:03,601 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 11:58:03,613 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 11:58:03,625 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 11:58:03,636 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 11:58:03,648 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 11:58:03,660 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 11:58:03,672 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 11:58:03,684 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 11:58:03,697 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 11:58:03,709 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 11:58:03,721 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 11:58:03,733 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 11:58:03,745 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 11:58:03,757 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-12 11:58:03,769 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.758
2023-07-12 11:58:03,781 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-12 11:58:03,794 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-12 11:58:03,806 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 11:58:03,818 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 11:58:03,830 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 11:58:03,842 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 11:58:03,854 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 11:58:03,866 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 11:58:03,878 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 11:58:03,891 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 11:58:03,903 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 11:58:03,915 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 11:58:03,927 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 11:58:03,940 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 11:58:03,952 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 11:58:03,964 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 11:58:03,976 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 11:58:03,988 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 11:58:04,000 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 11:58:04,012 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 11:58:04,024 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 11:58:04,036 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 11:58:04,048 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 11:58:04,060 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 11:58:04,072 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 11:58:04,084 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 11:58:04,096 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 11:58:04,108 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 11:58:04,120 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 11:58:04,132 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 11:58:04,144 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 11:58:04,156 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 11:58:04,168 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.758
2023-07-12 11:58:34,628 semantic_segmentation INFO: Iters: 23210/50000 || Lr: 0.011406 || Task Loss: 0.1119 || 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: 20:08:54 || Estimated Time: 23:15:21
2023-07-12 11:59:05,062 semantic_segmentation INFO: Iters: 23220/50000 || Lr: 0.011403 || Task Loss: 0.1096 || KD Loss: 0.0273|| 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: 20:09:25 || Estimated Time: 23:14:49
2023-07-12 11:59:35,467 semantic_segmentation INFO: Iters: 23230/50000 || Lr: 0.011399 || Task Loss: 0.0873 || KD Loss: 0.0269|| 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: 20:09:55 || Estimated Time: 23:14:17
2023-07-12 12:00:05,930 semantic_segmentation INFO: Iters: 23240/50000 || Lr: 0.011395 || Task Loss: 0.1084 || KD Loss: 0.0273|| 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: 20:10:26 || Estimated Time: 23:13:45
2023-07-12 12:00:36,373 semantic_segmentation INFO: Iters: 23250/50000 || Lr: 0.011391 || Task Loss: 0.0928 || KD Loss: 0.0249|| 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: 20:10:56 || Estimated Time: 23:13:13
2023-07-12 12:01:06,838 semantic_segmentation INFO: Iters: 23260/50000 || Lr: 0.011387 || Task Loss: 0.1003 || KD Loss: 0.0292|| 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: 20:11:27 || Estimated Time: 23:12:40
2023-07-12 12:01:37,287 semantic_segmentation INFO: Iters: 23270/50000 || Lr: 0.011383 || Task Loss: 0.1064 || KD Loss: 0.0326|| 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: 20:11:57 || Estimated Time: 23:12:08
2023-07-12 12:02:07,802 semantic_segmentation INFO: Iters: 23280/50000 || Lr: 0.011380 || Task Loss: 0.0917 || KD Loss: 0.0309|| 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: 20:12:28 || Estimated Time: 23:11:36
2023-07-12 12:02:38,231 semantic_segmentation INFO: Iters: 23290/50000 || Lr: 0.011376 || Task Loss: 0.0973 || 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: 20:12:58 || Estimated Time: 23:11:04
2023-07-12 12:03:08,653 semantic_segmentation INFO: Iters: 23300/50000 || Lr: 0.011372 || Task Loss: 0.1025 || KD Loss: 0.0254|| 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: 20:13:28 || Estimated Time: 23:10:32
2023-07-12 12:03:39,040 semantic_segmentation INFO: Iters: 23310/50000 || Lr: 0.011368 || Task Loss: 0.0962 || KD Loss: 0.0263|| 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: 20:13:59 || Estimated Time: 23:09:59
2023-07-12 12:04:09,395 semantic_segmentation INFO: Iters: 23320/50000 || Lr: 0.011364 || Task Loss: 0.0957 || KD Loss: 0.0272|| 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: 20:14:29 || Estimated Time: 23:09:27
2023-07-12 12:04:39,777 semantic_segmentation INFO: Iters: 23330/50000 || Lr: 0.011360 || Task Loss: 0.1061 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0729|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:15:00 || Estimated Time: 23:08:55
2023-07-12 12:05:10,193 semantic_segmentation INFO: Iters: 23340/50000 || Lr: 0.011357 || Task Loss: 0.1074 || KD Loss: 0.0291|| 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: 20:15:30 || Estimated Time: 23:08:23
2023-07-12 12:05:40,616 semantic_segmentation INFO: Iters: 23350/50000 || Lr: 0.011353 || Task Loss: 0.1026 || KD Loss: 0.0326|| 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: 20:16:00 || Estimated Time: 23:07:51
2023-07-12 12:06:11,027 semantic_segmentation INFO: Iters: 23360/50000 || Lr: 0.011349 || Task Loss: 0.1020 || KD Loss: 0.0243|| 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: 20:16:31 || Estimated Time: 23:07:18
2023-07-12 12:06:41,450 semantic_segmentation INFO: Iters: 23370/50000 || Lr: 0.011345 || Task Loss: 0.1014 || KD Loss: 0.0239|| 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: 20:17:01 || Estimated Time: 23:06:46
2023-07-12 12:07:11,869 semantic_segmentation INFO: Iters: 23380/50000 || Lr: 0.011341 || Task Loss: 0.0880 || KD Loss: 0.0267|| 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: 20:17:32 || Estimated Time: 23:06:14
2023-07-12 12:07:42,329 semantic_segmentation INFO: Iters: 23390/50000 || Lr: 0.011337 || Task Loss: 0.1118 || KD Loss: 0.0312|| 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: 20:18:02 || Estimated Time: 23:05:42
2023-07-12 12:08:12,757 semantic_segmentation INFO: Iters: 23400/50000 || Lr: 0.011334 || Task Loss: 0.1065 || 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: 20:18:33 || Estimated Time: 23:05:10
2023-07-12 12:08:43,152 semantic_segmentation INFO: Iters: 23410/50000 || Lr: 0.011330 || Task Loss: 0.1062 || KD Loss: 0.0240|| 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: 20:19:03 || Estimated Time: 23:04:38
2023-07-12 12:09:13,551 semantic_segmentation INFO: Iters: 23420/50000 || Lr: 0.011326 || Task Loss: 0.1090 || KD Loss: 0.0273|| 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: 20:19:33 || Estimated Time: 23:04:05
2023-07-12 12:09:43,944 semantic_segmentation INFO: Iters: 23430/50000 || Lr: 0.011322 || Task Loss: 0.1133 || KD Loss: 0.0248|| 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: 20:20:04 || Estimated Time: 23:03:33
2023-07-12 12:10:14,364 semantic_segmentation INFO: Iters: 23440/50000 || Lr: 0.011318 || Task Loss: 0.0990 || KD Loss: 0.0266|| 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: 20:20:34 || Estimated Time: 23:03:01
2023-07-12 12:10:44,772 semantic_segmentation INFO: Iters: 23450/50000 || Lr: 0.011314 || Task Loss: 0.1091 || KD Loss: 0.0308|| 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: 20:21:05 || Estimated Time: 23:02:29
2023-07-12 12:11:15,203 semantic_segmentation INFO: Iters: 23460/50000 || Lr: 0.011311 || Task Loss: 0.1104 || KD Loss: 0.0270|| 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: 20:21:35 || Estimated Time: 23:01:57
2023-07-12 12:11:45,629 semantic_segmentation INFO: Iters: 23470/50000 || Lr: 0.011307 || Task Loss: 0.1171 || KD Loss: 0.0355|| 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: 20:22:05 || Estimated Time: 23:01:24
2023-07-12 12:12:16,066 semantic_segmentation INFO: Iters: 23480/50000 || Lr: 0.011303 || Task Loss: 0.1087 || KD Loss: 0.0272|| 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: 20:22:36 || Estimated Time: 23:00:52
2023-07-12 12:12:46,516 semantic_segmentation INFO: Iters: 23490/50000 || Lr: 0.011299 || Task Loss: 0.0975 || KD Loss: 0.0338|| 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: 20:23:06 || Estimated Time: 23:00:20
2023-07-12 12:13:16,959 semantic_segmentation INFO: Iters: 23500/50000 || Lr: 0.011295 || Task Loss: 0.0998 || KD Loss: 0.0269|| 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: 20:23:37 || Estimated Time: 22:59:48
2023-07-12 12:13:47,492 semantic_segmentation INFO: Iters: 23510/50000 || Lr: 0.011291 || Task Loss: 0.1191 || KD Loss: 0.0257|| 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: 20:24:07 || Estimated Time: 22:59:16
2023-07-12 12:14:18,004 semantic_segmentation INFO: Iters: 23520/50000 || Lr: 0.011288 || Task Loss: 0.0919 || KD Loss: 0.0296|| 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: 20:24:38 || Estimated Time: 22:58:44
2023-07-12 12:14:48,447 semantic_segmentation INFO: Iters: 23530/50000 || Lr: 0.011284 || Task Loss: 0.1109 || KD Loss: 0.0283|| 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: 20:25:08 || Estimated Time: 22:58:12
2023-07-12 12:15:18,847 semantic_segmentation INFO: Iters: 23540/50000 || Lr: 0.011280 || Task Loss: 0.1070 || KD Loss: 0.0279|| 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: 20:25:39 || Estimated Time: 22:57:40
2023-07-12 12:15:49,222 semantic_segmentation INFO: Iters: 23550/50000 || Lr: 0.011276 || Task Loss: 0.0810 || KD Loss: 0.0285|| 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: 20:26:09 || Estimated Time: 22:57:07
2023-07-12 12:16:19,610 semantic_segmentation INFO: Iters: 23560/50000 || Lr: 0.011272 || Task Loss: 0.0840 || KD Loss: 0.0275|| 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: 20:26:39 || Estimated Time: 22:56:35
2023-07-12 12:16:49,988 semantic_segmentation INFO: Iters: 23570/50000 || Lr: 0.011268 || Task Loss: 0.0897 || KD Loss: 0.0257|| 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: 20:27:10 || Estimated Time: 22:56:03
2023-07-12 12:17:20,407 semantic_segmentation INFO: Iters: 23580/50000 || Lr: 0.011264 || Task Loss: 0.1225 || KD Loss: 0.0259|| 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: 20:27:40 || Estimated Time: 22:55:31
2023-07-12 12:17:50,775 semantic_segmentation INFO: Iters: 23590/50000 || Lr: 0.011261 || Task Loss: 0.1136 || KD Loss: 0.0284|| 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: 20:28:11 || Estimated Time: 22:54:59
2023-07-12 12:18:21,172 semantic_segmentation INFO: Iters: 23600/50000 || Lr: 0.011257 || Task Loss: 0.0908 || KD Loss: 0.0257|| 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: 20:28:41 || Estimated Time: 22:54:26
2023-07-12 12:18:51,545 semantic_segmentation INFO: Iters: 23610/50000 || Lr: 0.011253 || Task Loss: 0.0981 || KD Loss: 0.0290|| 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: 20:29:11 || Estimated Time: 22:53:54
2023-07-12 12:19:21,993 semantic_segmentation INFO: Iters: 23620/50000 || Lr: 0.011249 || Task Loss: 0.0980 || KD Loss: 0.0285|| 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: 20:29:42 || Estimated Time: 22:53:22
2023-07-12 12:19:52,433 semantic_segmentation INFO: Iters: 23630/50000 || Lr: 0.011245 || Task Loss: 0.1071 || KD Loss: 0.0277|| 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: 20:30:12 || Estimated Time: 22:52:50
2023-07-12 12:20:22,909 semantic_segmentation INFO: Iters: 23640/50000 || Lr: 0.011241 || Task Loss: 0.0989 || 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: 20:30:43 || Estimated Time: 22:52:18
2023-07-12 12:20:53,364 semantic_segmentation INFO: Iters: 23650/50000 || Lr: 0.011238 || Task Loss: 0.0976 || 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: 20:31:13 || Estimated Time: 22:51:46
2023-07-12 12:21:23,803 semantic_segmentation INFO: Iters: 23660/50000 || Lr: 0.011234 || Task Loss: 0.0837 || KD Loss: 0.0284|| 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: 20:31:44 || Estimated Time: 22:51:14
2023-07-12 12:21:54,211 semantic_segmentation INFO: Iters: 23670/50000 || Lr: 0.011230 || Task Loss: 0.1139 || KD Loss: 0.0259|| 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: 20:32:14 || Estimated Time: 22:50:41
2023-07-12 12:22:24,879 semantic_segmentation INFO: Iters: 23680/50000 || Lr: 0.011226 || Task Loss: 0.0923 || KD Loss: 0.0241|| 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: 20:32:45 || Estimated Time: 22:50:10
2023-07-12 12:22:55,456 semantic_segmentation INFO: Iters: 23690/50000 || Lr: 0.011222 || Task Loss: 0.1036 || KD Loss: 0.0259|| 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: 20:33:15 || Estimated Time: 22:49:38
2023-07-12 12:23:26,042 semantic_segmentation INFO: Iters: 23700/50000 || Lr: 0.011218 || Task Loss: 0.0936 || KD Loss: 0.0241|| 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: 20:33:46 || Estimated Time: 22:49:06
2023-07-12 12:23:56,516 semantic_segmentation INFO: Iters: 23710/50000 || Lr: 0.011215 || Task Loss: 0.0930 || KD Loss: 0.0263|| 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: 20:34:16 || Estimated Time: 22:48:34
2023-07-12 12:24:27,012 semantic_segmentation INFO: Iters: 23720/50000 || Lr: 0.011211 || Task Loss: 0.1135 || KD Loss: 0.0260|| 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: 20:34:47 || Estimated Time: 22:48:02
2023-07-12 12:24:57,508 semantic_segmentation INFO: Iters: 23730/50000 || Lr: 0.011207 || Task Loss: 0.1035 || KD Loss: 0.0247|| 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: 20:35:17 || Estimated Time: 22:47:30
2023-07-12 12:25:28,171 semantic_segmentation INFO: Iters: 23740/50000 || Lr: 0.011203 || Task Loss: 0.0958 || KD Loss: 0.0251|| 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: 20:35:48 || Estimated Time: 22:46:58
2023-07-12 12:25:58,860 semantic_segmentation INFO: Iters: 23750/50000 || Lr: 0.011199 || Task Loss: 0.0890 || 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: 20:36:19 || Estimated Time: 22:46:26
2023-07-12 12:26:29,477 semantic_segmentation INFO: Iters: 23760/50000 || Lr: 0.011195 || Task Loss: 0.0940 || KD Loss: 0.0254|| 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: 20:36:49 || Estimated Time: 22:45:54
2023-07-12 12:27:00,530 semantic_segmentation INFO: Iters: 23770/50000 || Lr: 0.011192 || Task Loss: 0.1054 || KD Loss: 0.0290|| 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: 20:37:20 || Estimated Time: 22:45:22
2023-07-12 12:27:31,132 semantic_segmentation INFO: Iters: 23780/50000 || Lr: 0.011188 || Task Loss: 0.0927 || KD Loss: 0.0238|| 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: 20:37:51 || Estimated Time: 22:44:51
2023-07-12 12:28:01,643 semantic_segmentation INFO: Iters: 23790/50000 || Lr: 0.011184 || Task Loss: 0.0915 || KD Loss: 0.0263|| 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: 20:38:21 || Estimated Time: 22:44:19
2023-07-12 12:28:32,411 semantic_segmentation INFO: Iters: 23800/50000 || Lr: 0.011180 || Task Loss: 0.1000 || KD Loss: 0.0240|| 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: 20:38:52 || Estimated Time: 22:43:47
2023-07-12 12:29:03,170 semantic_segmentation INFO: Iters: 23810/50000 || Lr: 0.011176 || Task Loss: 0.1014 || KD Loss: 0.0264|| 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: 20:39:23 || Estimated Time: 22:43:15
2023-07-12 12:29:34,130 semantic_segmentation INFO: Iters: 23820/50000 || Lr: 0.011172 || Task Loss: 0.1054 || KD Loss: 0.0294|| 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: 20:39:54 || Estimated Time: 22:42:43
2023-07-12 12:30:05,035 semantic_segmentation INFO: Iters: 23830/50000 || Lr: 0.011169 || Task Loss: 0.1028 || KD Loss: 0.0241|| 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: 20:40:25 || Estimated Time: 22:42:12
2023-07-12 12:30:35,974 semantic_segmentation INFO: Iters: 23840/50000 || Lr: 0.011165 || Task Loss: 0.0897 || KD Loss: 0.0240|| 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: 20:40:56 || Estimated Time: 22:41:40
2023-07-12 12:31:07,147 semantic_segmentation INFO: Iters: 23850/50000 || Lr: 0.011161 || Task Loss: 0.1200 || KD Loss: 0.0236|| 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: 20:41:27 || Estimated Time: 22:41:09
2023-07-12 12:31:38,330 semantic_segmentation INFO: Iters: 23860/50000 || Lr: 0.011157 || Task Loss: 0.0900 || KD Loss: 0.0308|| 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: 20:41:58 || Estimated Time: 22:40:38
2023-07-12 12:32:09,966 semantic_segmentation INFO: Iters: 23870/50000 || Lr: 0.011153 || Task Loss: 0.0959 || KD Loss: 0.0262|| 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: 20:42:30 || Estimated Time: 22:40:07
2023-07-12 12:32:41,990 semantic_segmentation INFO: Iters: 23880/50000 || Lr: 0.011149 || Task Loss: 0.0857 || KD Loss: 0.0259|| 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: 20:43:02 || Estimated Time: 22:39:37
2023-07-12 12:33:14,178 semantic_segmentation INFO: Iters: 23890/50000 || Lr: 0.011145 || Task Loss: 0.0976 || KD Loss: 0.0249|| 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: 20:43:34 || Estimated Time: 22:39:06
2023-07-12 12:33:46,529 semantic_segmentation INFO: Iters: 23900/50000 || Lr: 0.011142 || Task Loss: 0.1097 || KD Loss: 0.0256|| 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: 20:44:06 || Estimated Time: 22:38:36
2023-07-12 12:34:18,881 semantic_segmentation INFO: Iters: 23910/50000 || Lr: 0.011138 || Task Loss: 0.1085 || KD Loss: 0.0263|| 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: 20:44:39 || Estimated Time: 22:38:06
2023-07-12 12:34:51,196 semantic_segmentation INFO: Iters: 23920/50000 || Lr: 0.011134 || Task Loss: 0.0933 || KD Loss: 0.0232|| 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: 20:45:11 || Estimated Time: 22:37:36
2023-07-12 12:35:23,529 semantic_segmentation INFO: Iters: 23930/50000 || Lr: 0.011130 || Task Loss: 0.0964 || KD Loss: 0.0230|| 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: 20:45:43 || Estimated Time: 22:37:06
2023-07-12 12:35:55,890 semantic_segmentation INFO: Iters: 23940/50000 || Lr: 0.011126 || Task Loss: 0.0960 || KD Loss: 0.0241|| 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: 20:46:16 || Estimated Time: 22:36:36
2023-07-12 12:36:28,263 semantic_segmentation INFO: Iters: 23950/50000 || Lr: 0.011122 || Task Loss: 0.0983 || KD Loss: 0.0263|| 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: 20:46:48 || Estimated Time: 22:36:06
2023-07-12 12:37:00,690 semantic_segmentation INFO: Iters: 23960/50000 || Lr: 0.011119 || Task Loss: 0.0846 || 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: 20:47:20 || Estimated Time: 22:35:36
2023-07-12 12:37:33,153 semantic_segmentation INFO: Iters: 23970/50000 || Lr: 0.011115 || Task Loss: 0.1118 || KD Loss: 0.0247|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0790|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:47:53 || Estimated Time: 22:35:06
2023-07-12 12:38:05,499 semantic_segmentation INFO: Iters: 23980/50000 || Lr: 0.011111 || Task Loss: 0.0899 || KD Loss: 0.0250|| 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: 20:48:25 || Estimated Time: 22:34:36
2023-07-12 12:38:37,974 semantic_segmentation INFO: Iters: 23990/50000 || Lr: 0.011107 || Task Loss: 0.1220 || KD Loss: 0.0300|| 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: 20:48:58 || Estimated Time: 22:34:06
2023-07-12 12:39:10,523 semantic_segmentation INFO: Iters: 24000/50000 || Lr: 0.011103 || Task Loss: 0.1042 || KD Loss: 0.0290|| 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: 20:49:30 || Estimated Time: 22:33:37
2023-07-12 12:39:10,610 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 12:39:10,815 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.737
2023-07-12 12:39:10,836 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-12 12:39:10,848 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.739
2023-07-12 12:39:10,861 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 12:39:10,873 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.731
2023-07-12 12:39:10,885 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 12:39:10,898 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.964, mIoU: 0.731
2023-07-12 12:39:10,911 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 12:39:10,924 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.725
2023-07-12 12:39:10,937 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 12:39:10,949 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.726
2023-07-12 12:39:10,962 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.725
2023-07-12 12:39:10,974 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 12:39:10,986 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.731
2023-07-12 12:39:10,999 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.733
2023-07-12 12:39:11,011 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 12:39:11,024 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 12:39:11,037 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 12:39:11,049 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 12:39:11,062 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 12:39:11,074 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 12:39:11,086 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 12:39:11,099 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 12:39:11,111 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.729
2023-07-12 12:39:11,125 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 12:39:11,137 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.731
2023-07-12 12:39:11,150 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.731
2023-07-12 12:39:11,163 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.730
2023-07-12 12:39:11,176 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 12:39:11,188 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.732
2023-07-12 12:39:11,201 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 12:39:11,214 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 12:39:11,227 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 12:39:11,240 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 12:39:11,252 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 12:39:11,265 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.733
2023-07-12 12:39:11,278 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.733
2023-07-12 12:39:11,290 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 12:39:11,303 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 12:39:11,316 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.735
2023-07-12 12:39:11,329 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.736
2023-07-12 12:39:11,342 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 12:39:11,355 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 12:39:11,368 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 12:39:11,381 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 12:39:11,395 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 12:39:11,408 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 12:39:11,421 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 12:39:11,435 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 12:39:11,448 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 12:39:11,461 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.745
2023-07-12 12:39:11,474 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.746
2023-07-12 12:39:11,487 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.747
2023-07-12 12:39:11,500 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.748
2023-07-12 12:39:11,513 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.748
2023-07-12 12:39:11,526 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 12:39:11,540 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 12:39:11,554 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.750
2023-07-12 12:39:11,567 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 12:39:11,581 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 12:39:11,595 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 12:39:11,608 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 12:39:11,622 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 12:39:11,636 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 12:39:11,650 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 12:39:11,663 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.756
2023-07-12 12:39:11,677 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.758
2023-07-12 12:39:11,690 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.759
2023-07-12 12:39:11,704 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 12:39:11,717 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 12:39:11,731 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 12:39:11,744 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 12:39:11,757 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 12:39:11,771 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 12:39:11,784 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 12:39:11,796 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 12:39:11,810 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 12:39:11,823 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 12:39:11,836 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 12:39:11,849 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 12:39:11,862 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 12:39:11,875 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 12:39:11,888 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-12 12:39:11,901 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-12 12:39:11,914 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 12:39:11,928 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 12:39:11,942 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-12 12:39:11,956 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-12 12:39:11,969 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-12 12:39:11,983 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 12:39:11,996 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 12:39:12,010 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 12:39:12,024 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 12:39:12,038 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 12:39:12,051 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 12:39:12,064 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 12:39:12,078 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 12:39:12,092 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 12:39:12,106 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 12:39:12,120 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 12:39:12,133 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 12:39:44,500 semantic_segmentation INFO: Iters: 24010/50000 || Lr: 0.011099 || Task Loss: 0.0928 || KD Loss: 0.0236|| 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: 20:50:04 || Estimated Time: 22:33:08
2023-07-12 12:40:16,833 semantic_segmentation INFO: Iters: 24020/50000 || Lr: 0.011096 || Task Loss: 0.1105 || KD Loss: 0.0285|| 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: 20:50:37 || Estimated Time: 22:32:38
2023-07-12 12:40:49,216 semantic_segmentation INFO: Iters: 24030/50000 || Lr: 0.011092 || Task Loss: 0.0842 || KD Loss: 0.0251|| 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: 20:51:09 || Estimated Time: 22:32:08
2023-07-12 12:41:21,436 semantic_segmentation INFO: Iters: 24040/50000 || Lr: 0.011088 || Task Loss: 0.0914 || KD Loss: 0.0232|| 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: 20:51:41 || Estimated Time: 22:31:38
2023-07-12 12:41:53,712 semantic_segmentation INFO: Iters: 24050/50000 || Lr: 0.011084 || Task Loss: 0.1106 || KD Loss: 0.0282|| 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: 20:52:13 || Estimated Time: 22:31:08
2023-07-12 12:42:25,927 semantic_segmentation INFO: Iters: 24060/50000 || Lr: 0.011080 || Task Loss: 0.1065 || KD Loss: 0.0280|| 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: 20:52:46 || Estimated Time: 22:30:38
2023-07-12 12:42:58,238 semantic_segmentation INFO: Iters: 24070/50000 || Lr: 0.011076 || Task Loss: 0.0911 || KD Loss: 0.0255|| 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: 20:53:18 || Estimated Time: 22:30:08
2023-07-12 12:43:30,572 semantic_segmentation INFO: Iters: 24080/50000 || Lr: 0.011072 || Task Loss: 0.1108 || KD Loss: 0.0249|| 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: 20:53:50 || Estimated Time: 22:29:38
2023-07-12 12:44:02,878 semantic_segmentation INFO: Iters: 24090/50000 || Lr: 0.011069 || Task Loss: 0.1162 || KD Loss: 0.0281|| 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: 20:54:23 || Estimated Time: 22:29:08
2023-07-12 12:44:35,139 semantic_segmentation INFO: Iters: 24100/50000 || Lr: 0.011065 || Task Loss: 0.0952 || KD Loss: 0.0258|| 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: 20:54:55 || Estimated Time: 22:28:37
2023-07-12 12:45:07,616 semantic_segmentation INFO: Iters: 24110/50000 || Lr: 0.011061 || Task Loss: 0.1095 || KD Loss: 0.0257|| 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: 20:55:27 || Estimated Time: 22:28:08
2023-07-12 12:45:40,023 semantic_segmentation INFO: Iters: 24120/50000 || Lr: 0.011057 || Task Loss: 0.0985 || KD Loss: 0.0255|| 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: 20:56:00 || Estimated Time: 22:27:38
2023-07-12 12:46:12,379 semantic_segmentation INFO: Iters: 24130/50000 || Lr: 0.011053 || Task Loss: 0.0974 || KD Loss: 0.0267|| 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: 20:56:32 || Estimated Time: 22:27:07
2023-07-12 12:46:44,752 semantic_segmentation INFO: Iters: 24140/50000 || Lr: 0.011049 || Task Loss: 0.1005 || 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: 20:57:05 || Estimated Time: 22:26:37
2023-07-12 12:47:17,063 semantic_segmentation INFO: Iters: 24150/50000 || Lr: 0.011046 || Task Loss: 0.1146 || 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: 20:57:37 || Estimated Time: 22:26:07
2023-07-12 12:47:49,294 semantic_segmentation INFO: Iters: 24160/50000 || Lr: 0.011042 || Task Loss: 0.0878 || KD Loss: 0.0301|| 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: 20:58:09 || Estimated Time: 22:25:37
2023-07-12 12:48:21,666 semantic_segmentation INFO: Iters: 24170/50000 || Lr: 0.011038 || Task Loss: 0.0925 || KD Loss: 0.0284|| 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: 20:58:41 || Estimated Time: 22:25:07
2023-07-12 12:48:53,965 semantic_segmentation INFO: Iters: 24180/50000 || Lr: 0.011034 || Task Loss: 0.1019 || KD Loss: 0.0230|| 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: 20:59:14 || Estimated Time: 22:24:37
2023-07-12 12:49:26,251 semantic_segmentation INFO: Iters: 24190/50000 || Lr: 0.011030 || Task Loss: 0.1237 || KD Loss: 0.0283|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0763|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 20:59:46 || Estimated Time: 22:24:07
2023-07-12 12:49:58,553 semantic_segmentation INFO: Iters: 24200/50000 || Lr: 0.011026 || Task Loss: 0.1037 || KD Loss: 0.0254|| 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: 21:00:18 || Estimated Time: 22:23:37
2023-07-12 12:50:30,887 semantic_segmentation INFO: Iters: 24210/50000 || Lr: 0.011022 || Task Loss: 0.0842 || KD Loss: 0.0248|| 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: 21:00:51 || Estimated Time: 22:23:07
2023-07-12 12:51:03,257 semantic_segmentation INFO: Iters: 24220/50000 || Lr: 0.011019 || Task Loss: 0.0977 || KD Loss: 0.0248|| 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: 21:01:23 || Estimated Time: 22:22:37
2023-07-12 12:51:35,644 semantic_segmentation INFO: Iters: 24230/50000 || Lr: 0.011015 || Task Loss: 0.1026 || KD Loss: 0.0235|| 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: 21:01:55 || Estimated Time: 22:22:07
2023-07-12 12:52:08,078 semantic_segmentation INFO: Iters: 24240/50000 || Lr: 0.011011 || Task Loss: 0.0808 || KD Loss: 0.0243|| 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: 21:02:28 || Estimated Time: 22:21:37
2023-07-12 12:52:40,455 semantic_segmentation INFO: Iters: 24250/50000 || Lr: 0.011007 || Task Loss: 0.1016 || KD Loss: 0.0267|| 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: 21:03:00 || Estimated Time: 22:21:07
2023-07-12 12:53:12,625 semantic_segmentation INFO: Iters: 24260/50000 || Lr: 0.011003 || Task Loss: 0.0954 || KD Loss: 0.0230|| 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: 21:03:32 || Estimated Time: 22:20:36
2023-07-12 12:53:44,921 semantic_segmentation INFO: Iters: 24270/50000 || Lr: 0.010999 || Task Loss: 0.1048 || KD Loss: 0.0234|| 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: 21:04:05 || Estimated Time: 22:20:06
2023-07-12 12:54:17,148 semantic_segmentation INFO: Iters: 24280/50000 || Lr: 0.010996 || Task Loss: 0.1081 || KD Loss: 0.0253|| 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: 21:04:37 || Estimated Time: 22:19:36
2023-07-12 12:54:49,425 semantic_segmentation INFO: Iters: 24290/50000 || Lr: 0.010992 || Task Loss: 0.0987 || KD Loss: 0.0237|| 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: 21:05:09 || Estimated Time: 22:19:06
2023-07-12 12:55:21,714 semantic_segmentation INFO: Iters: 24300/50000 || Lr: 0.010988 || Task Loss: 0.0860 || KD Loss: 0.0252|| 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: 21:05:41 || Estimated Time: 22:18:36
2023-07-12 12:55:54,031 semantic_segmentation INFO: Iters: 24310/50000 || Lr: 0.010984 || Task Loss: 0.0923 || 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: 21:06:14 || Estimated Time: 22:18:05
2023-07-12 12:56:26,356 semantic_segmentation INFO: Iters: 24320/50000 || Lr: 0.010980 || Task Loss: 0.1038 || KD Loss: 0.0284|| 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: 21:06:46 || Estimated Time: 22:17:35
2023-07-12 12:56:58,694 semantic_segmentation INFO: Iters: 24330/50000 || Lr: 0.010976 || Task Loss: 0.0892 || KD Loss: 0.0249|| 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: 21:07:18 || Estimated Time: 22:17:05
2023-07-12 12:57:30,992 semantic_segmentation INFO: Iters: 24340/50000 || Lr: 0.010972 || Task Loss: 0.1141 || KD Loss: 0.0282|| 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: 21:07:51 || Estimated Time: 22:16:35
2023-07-12 12:58:03,405 semantic_segmentation INFO: Iters: 24350/50000 || Lr: 0.010969 || Task Loss: 0.1121 || 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: 21:08:23 || Estimated Time: 22:16:05
2023-07-12 12:58:35,812 semantic_segmentation INFO: Iters: 24360/50000 || Lr: 0.010965 || Task Loss: 0.1080 || KD Loss: 0.0266|| 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: 21:08:56 || Estimated Time: 22:15:35
2023-07-12 12:59:08,226 semantic_segmentation INFO: Iters: 24370/50000 || Lr: 0.010961 || Task Loss: 0.1048 || KD Loss: 0.0315|| 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: 21:09:28 || Estimated Time: 22:15:05
2023-07-12 12:59:40,528 semantic_segmentation INFO: Iters: 24380/50000 || Lr: 0.010957 || Task Loss: 0.0969 || KD Loss: 0.0234|| 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: 21:10:00 || Estimated Time: 22:14:35
2023-07-12 13:00:12,912 semantic_segmentation INFO: Iters: 24390/50000 || Lr: 0.010953 || Task Loss: 0.0939 || KD Loss: 0.0235|| 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: 21:10:33 || Estimated Time: 22:14:05
2023-07-12 13:00:45,192 semantic_segmentation INFO: Iters: 24400/50000 || Lr: 0.010949 || Task Loss: 0.1026 || KD Loss: 0.0294|| 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: 21:11:05 || Estimated Time: 22:13:35
2023-07-12 13:01:17,409 semantic_segmentation INFO: Iters: 24410/50000 || Lr: 0.010945 || Task Loss: 0.0888 || KD Loss: 0.0265|| 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: 21:11:37 || Estimated Time: 22:13:04
2023-07-12 13:01:49,661 semantic_segmentation INFO: Iters: 24420/50000 || Lr: 0.010942 || Task Loss: 0.0972 || KD Loss: 0.0293|| 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: 21:12:09 || Estimated Time: 22:12:34
2023-07-12 13:02:21,995 semantic_segmentation INFO: Iters: 24430/50000 || Lr: 0.010938 || Task Loss: 0.0967 || KD Loss: 0.0253|| 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: 21:12:42 || Estimated Time: 22:12:04
2023-07-12 13:02:54,323 semantic_segmentation INFO: Iters: 24440/50000 || Lr: 0.010934 || Task Loss: 0.1107 || KD Loss: 0.0306|| 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: 21:13:14 || Estimated Time: 22:11:34
2023-07-12 13:03:26,681 semantic_segmentation INFO: Iters: 24450/50000 || Lr: 0.010930 || Task Loss: 0.0832 || KD Loss: 0.0265|| 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: 21:13:46 || Estimated Time: 22:11:04
2023-07-12 13:03:58,998 semantic_segmentation INFO: Iters: 24460/50000 || Lr: 0.010926 || Task Loss: 0.1070 || KD Loss: 0.0243|| 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: 21:14:19 || Estimated Time: 22:10:34
2023-07-12 13:04:31,385 semantic_segmentation INFO: Iters: 24470/50000 || Lr: 0.010922 || Task Loss: 0.0768 || KD Loss: 0.0249|| 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: 21:14:51 || Estimated Time: 22:10:03
2023-07-12 13:05:03,763 semantic_segmentation INFO: Iters: 24480/50000 || Lr: 0.010919 || Task Loss: 0.0988 || KD Loss: 0.0269|| 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: 21:15:24 || Estimated Time: 22:09:33
2023-07-12 13:05:36,045 semantic_segmentation INFO: Iters: 24490/50000 || Lr: 0.010915 || Task Loss: 0.1092 || KD Loss: 0.0278|| 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: 21:15:56 || Estimated Time: 22:09:03
2023-07-12 13:06:08,258 semantic_segmentation INFO: Iters: 24500/50000 || Lr: 0.010911 || Task Loss: 0.1125 || KD Loss: 0.0291|| 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: 21:16:28 || Estimated Time: 22:08:33
2023-07-12 13:06:40,577 semantic_segmentation INFO: Iters: 24510/50000 || Lr: 0.010907 || Task Loss: 0.0986 || KD Loss: 0.0279|| 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: 21:17:00 || Estimated Time: 22:08:03
2023-07-12 13:07:12,914 semantic_segmentation INFO: Iters: 24520/50000 || Lr: 0.010903 || Task Loss: 0.0893 || KD Loss: 0.0293|| 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: 21:17:33 || Estimated Time: 22:07:33
2023-07-12 13:07:45,229 semantic_segmentation INFO: Iters: 24530/50000 || Lr: 0.010899 || Task Loss: 0.1051 || KD Loss: 0.0256|| 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: 21:18:05 || Estimated Time: 22:07:02
2023-07-12 13:08:17,472 semantic_segmentation INFO: Iters: 24540/50000 || Lr: 0.010895 || Task Loss: 0.0962 || KD Loss: 0.0261|| 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: 21:18:37 || Estimated Time: 22:06:32
2023-07-12 13:08:49,810 semantic_segmentation INFO: Iters: 24550/50000 || Lr: 0.010892 || Task Loss: 0.0999 || KD Loss: 0.0256|| 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: 21:19:10 || Estimated Time: 22:06:02
2023-07-12 13:09:22,164 semantic_segmentation INFO: Iters: 24560/50000 || Lr: 0.010888 || Task Loss: 0.1073 || KD Loss: 0.0266|| 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: 21:19:42 || Estimated Time: 22:05:32
2023-07-12 13:09:54,498 semantic_segmentation INFO: Iters: 24570/50000 || Lr: 0.010884 || Task Loss: 0.1045 || KD Loss: 0.0283|| 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: 21:20:14 || Estimated Time: 22:05:02
2023-07-12 13:10:26,710 semantic_segmentation INFO: Iters: 24580/50000 || Lr: 0.010880 || Task Loss: 0.0893 || 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: 21:20:46 || Estimated Time: 22:04:32
2023-07-12 13:10:59,070 semantic_segmentation INFO: Iters: 24590/50000 || Lr: 0.010876 || Task Loss: 0.0943 || KD Loss: 0.0247|| 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: 21:21:19 || Estimated Time: 22:04:01
2023-07-12 13:11:31,420 semantic_segmentation INFO: Iters: 24600/50000 || Lr: 0.010872 || Task Loss: 0.0969 || KD Loss: 0.0258|| 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: 21:21:51 || Estimated Time: 22:03:31
2023-07-12 13:12:03,736 semantic_segmentation INFO: Iters: 24610/50000 || Lr: 0.010868 || Task Loss: 0.0849 || KD Loss: 0.0277|| 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: 21:22:23 || Estimated Time: 22:03:01
2023-07-12 13:12:35,965 semantic_segmentation INFO: Iters: 24620/50000 || Lr: 0.010865 || Task Loss: 0.1095 || KD Loss: 0.0338|| 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: 21:22:56 || Estimated Time: 22:02:31
2023-07-12 13:13:08,110 semantic_segmentation INFO: Iters: 24630/50000 || Lr: 0.010861 || Task Loss: 0.0961 || KD Loss: 0.0268|| 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: 21:23:28 || Estimated Time: 22:02:00
2023-07-12 13:13:40,343 semantic_segmentation INFO: Iters: 24640/50000 || Lr: 0.010857 || Task Loss: 0.1143 || KD Loss: 0.0276|| 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: 21:24:00 || Estimated Time: 22:01:30
2023-07-12 13:14:12,604 semantic_segmentation INFO: Iters: 24650/50000 || Lr: 0.010853 || Task Loss: 0.1180 || KD Loss: 0.0236|| 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: 21:24:32 || Estimated Time: 22:01:00
2023-07-12 13:14:44,866 semantic_segmentation INFO: Iters: 24660/50000 || Lr: 0.010849 || Task Loss: 0.1044 || KD Loss: 0.0312|| 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: 21:25:05 || Estimated Time: 22:00:30
2023-07-12 13:15:17,107 semantic_segmentation INFO: Iters: 24670/50000 || Lr: 0.010845 || Task Loss: 0.0879 || KD Loss: 0.0245|| 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: 21:25:37 || Estimated Time: 21:59:59
2023-07-12 13:15:49,636 semantic_segmentation INFO: Iters: 24680/50000 || Lr: 0.010842 || Task Loss: 0.0889 || KD Loss: 0.0245|| 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: 21:26:09 || Estimated Time: 21:59:29
2023-07-12 13:16:22,404 semantic_segmentation INFO: Iters: 24690/50000 || Lr: 0.010838 || Task Loss: 0.0871 || KD Loss: 0.0249|| 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: 21:26:42 || Estimated Time: 21:59:00
2023-07-12 13:16:54,901 semantic_segmentation INFO: Iters: 24700/50000 || Lr: 0.010834 || Task Loss: 0.1040 || KD Loss: 0.0274|| 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: 21:27:15 || Estimated Time: 21:58:30
2023-07-12 13:17:27,266 semantic_segmentation INFO: Iters: 24710/50000 || Lr: 0.010830 || Task Loss: 0.0935 || KD Loss: 0.0271|| 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: 21:27:47 || Estimated Time: 21:58:00
2023-07-12 13:17:59,691 semantic_segmentation INFO: Iters: 24720/50000 || Lr: 0.010826 || Task Loss: 0.1004 || 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: 21:28:19 || Estimated Time: 21:57:29
2023-07-12 13:18:32,037 semantic_segmentation INFO: Iters: 24730/50000 || Lr: 0.010822 || Task Loss: 0.1034 || KD Loss: 0.0261|| 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: 21:28:52 || Estimated Time: 21:56:59
2023-07-12 13:19:04,359 semantic_segmentation INFO: Iters: 24740/50000 || Lr: 0.010818 || Task Loss: 0.0810 || KD Loss: 0.0255|| 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: 21:29:24 || Estimated Time: 21:56:29
2023-07-12 13:19:36,628 semantic_segmentation INFO: Iters: 24750/50000 || Lr: 0.010815 || Task Loss: 0.1135 || KD Loss: 0.0265|| 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: 21:29:56 || Estimated Time: 21:55:59
2023-07-12 13:20:08,974 semantic_segmentation INFO: Iters: 24760/50000 || Lr: 0.010811 || Task Loss: 0.1074 || KD Loss: 0.0279|| 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: 21:30:29 || Estimated Time: 21:55:29
2023-07-12 13:20:41,246 semantic_segmentation INFO: Iters: 24770/50000 || Lr: 0.010807 || Task Loss: 0.0885 || KD Loss: 0.0233|| 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: 21:31:01 || Estimated Time: 21:54:58
2023-07-12 13:21:13,620 semantic_segmentation INFO: Iters: 24780/50000 || Lr: 0.010803 || Task Loss: 0.0887 || KD Loss: 0.0279|| 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: 21:31:33 || Estimated Time: 21:54:28
2023-07-12 13:21:45,987 semantic_segmentation INFO: Iters: 24790/50000 || Lr: 0.010799 || Task Loss: 0.0851 || 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: 21:32:06 || Estimated Time: 21:53:58
2023-07-12 13:22:18,312 semantic_segmentation INFO: Iters: 24800/50000 || Lr: 0.010795 || Task Loss: 0.1089 || KD Loss: 0.0246|| 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: 21:32:38 || Estimated Time: 21:53:28
2023-07-12 13:22:18,421 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 13:22:18,623 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.735
2023-07-12 13:22:18,635 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-12 13:22:18,648 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.737
2023-07-12 13:22:18,660 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.732
2023-07-12 13:22:18,673 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 13:22:18,685 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 13:22:18,697 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 13:22:18,710 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 13:22:18,722 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.730
2023-07-12 13:22:18,734 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 13:22:18,747 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 13:22:18,760 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.730
2023-07-12 13:22:18,773 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-12 13:22:18,785 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-12 13:22:18,798 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-12 13:22:18,811 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-12 13:22:18,823 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.742
2023-07-12 13:22:18,836 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 13:22:18,849 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-12 13:22:18,863 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 13:22:18,877 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 13:22:18,890 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 13:22:18,902 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 13:22:18,915 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 13:22:18,928 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 13:22:18,940 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 13:22:18,953 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 13:22:18,967 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 13:22:18,980 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 13:22:18,994 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 13:22:19,008 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 13:22:19,021 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 13:22:19,034 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 13:22:19,048 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 13:22:19,061 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 13:22:19,075 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 13:22:19,088 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 13:22:19,101 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 13:22:19,115 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 13:22:19,128 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 13:22:19,142 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 13:22:19,154 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 13:22:19,167 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.958, mIoU: 0.742
2023-07-12 13:22:19,181 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-12 13:22:19,197 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 13:22:19,210 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 13:22:19,223 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 13:22:19,236 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-12 13:22:19,250 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 13:22:19,263 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 13:22:19,276 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 13:22:19,289 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 13:22:19,302 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 13:22:19,315 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 13:22:19,328 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 13:22:19,341 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 13:22:19,354 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 13:22:19,369 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 13:22:19,384 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 13:22:19,398 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 13:22:19,412 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 13:22:19,426 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 13:22:19,440 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-12 13:22:19,454 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 13:22:19,468 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-12 13:22:19,482 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-12 13:22:19,495 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-12 13:22:19,509 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-12 13:22:19,523 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-12 13:22:19,538 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 13:22:19,552 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 13:22:19,565 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 13:22:19,578 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 13:22:19,591 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 13:22:19,604 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 13:22:19,617 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 13:22:19,629 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 13:22:19,642 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 13:22:19,655 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 13:22:19,667 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 13:22:19,680 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 13:22:19,693 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 13:22:19,705 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 13:22:19,718 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 13:22:19,731 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 13:22:19,743 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 13:22:19,756 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 13:22:19,768 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 13:22:19,782 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 13:22:19,795 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.756
2023-07-12 13:22:19,807 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.756
2023-07-12 13:22:19,820 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.756
2023-07-12 13:22:19,832 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.756
2023-07-12 13:22:19,845 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.756
2023-07-12 13:22:19,858 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 13:22:19,871 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 13:22:19,886 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 13:22:19,899 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.757
2023-07-12 13:22:19,911 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.757
2023-07-12 13:22:19,924 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.757
2023-07-12 13:22:19,937 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.757
2023-07-12 13:22:52,303 semantic_segmentation INFO: Iters: 24810/50000 || Lr: 0.010791 || Task Loss: 0.0963 || KD Loss: 0.0327|| 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: 21:33:12 || Estimated Time: 21:52:59
2023-07-12 13:23:24,684 semantic_segmentation INFO: Iters: 24820/50000 || Lr: 0.010788 || Task Loss: 0.1214 || KD Loss: 0.0249|| 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: 21:33:44 || Estimated Time: 21:52:29
2023-07-12 13:23:57,065 semantic_segmentation INFO: Iters: 24830/50000 || Lr: 0.010784 || Task Loss: 0.1131 || 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: 21:34:17 || Estimated Time: 21:51:59
2023-07-12 13:24:29,518 semantic_segmentation INFO: Iters: 24840/50000 || Lr: 0.010780 || Task Loss: 0.0945 || KD Loss: 0.0261|| 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: 21:34:49 || Estimated Time: 21:51:29
2023-07-12 13:25:01,906 semantic_segmentation INFO: Iters: 24850/50000 || Lr: 0.010776 || Task Loss: 0.1036 || 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: 21:35:22 || Estimated Time: 21:50:59
2023-07-12 13:25:34,145 semantic_segmentation INFO: Iters: 24860/50000 || Lr: 0.010772 || Task Loss: 0.0982 || KD Loss: 0.0244|| 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: 21:35:54 || Estimated Time: 21:50:29
2023-07-12 13:26:06,440 semantic_segmentation INFO: Iters: 24870/50000 || Lr: 0.010768 || Task Loss: 0.0945 || KD Loss: 0.0244|| 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: 21:36:26 || Estimated Time: 21:49:58
2023-07-12 13:26:38,652 semantic_segmentation INFO: Iters: 24880/50000 || Lr: 0.010764 || Task Loss: 0.1104 || KD Loss: 0.0275|| 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: 21:36:58 || Estimated Time: 21:49:28
2023-07-12 13:27:10,928 semantic_segmentation INFO: Iters: 24890/50000 || Lr: 0.010761 || Task Loss: 0.0964 || KD Loss: 0.0275|| 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: 21:37:31 || Estimated Time: 21:48:58
2023-07-12 13:27:43,267 semantic_segmentation INFO: Iters: 24900/50000 || Lr: 0.010757 || Task Loss: 0.1019 || KD Loss: 0.0278|| 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: 21:38:03 || Estimated Time: 21:48:28
2023-07-12 13:28:15,551 semantic_segmentation INFO: Iters: 24910/50000 || Lr: 0.010753 || Task Loss: 0.1041 || KD Loss: 0.0235|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0763|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 21:38:35 || Estimated Time: 21:47:57
2023-07-12 13:28:48,030 semantic_segmentation INFO: Iters: 24920/50000 || Lr: 0.010749 || Task Loss: 0.0907 || KD Loss: 0.0275|| 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: 21:39:08 || Estimated Time: 21:47:27
2023-07-12 13:29:20,259 semantic_segmentation INFO: Iters: 24930/50000 || Lr: 0.010745 || Task Loss: 0.1165 || KD Loss: 0.0245|| 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: 21:39:40 || Estimated Time: 21:46:57
2023-07-12 13:29:52,772 semantic_segmentation INFO: Iters: 24940/50000 || Lr: 0.010741 || Task Loss: 0.0942 || KD Loss: 0.0246|| 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: 21:40:13 || Estimated Time: 21:46:27
2023-07-12 13:30:25,109 semantic_segmentation INFO: Iters: 24950/50000 || Lr: 0.010737 || Task Loss: 0.1135 || KD Loss: 0.0261|| 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: 21:40:45 || Estimated Time: 21:45:57
2023-07-12 13:30:57,281 semantic_segmentation INFO: Iters: 24960/50000 || Lr: 0.010734 || Task Loss: 0.1001 || KD Loss: 0.0290|| 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: 21:41:17 || Estimated Time: 21:45:26
2023-07-12 13:31:29,657 semantic_segmentation INFO: Iters: 24970/50000 || Lr: 0.010730 || Task Loss: 0.0944 || KD Loss: 0.0246|| 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: 21:41:49 || Estimated Time: 21:44:56
2023-07-12 13:32:01,902 semantic_segmentation INFO: Iters: 24980/50000 || Lr: 0.010726 || Task Loss: 0.0875 || KD Loss: 0.0251|| 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: 21:42:22 || Estimated Time: 21:44:26
2023-07-12 13:32:34,080 semantic_segmentation INFO: Iters: 24990/50000 || Lr: 0.010722 || Task Loss: 0.1032 || KD Loss: 0.0276|| 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: 21:42:54 || Estimated Time: 21:43:55
2023-07-12 13:33:06,291 semantic_segmentation INFO: Iters: 25000/50000 || Lr: 0.010718 || Task Loss: 0.0986 || KD Loss: 0.0246|| 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: 21:43:26 || Estimated Time: 21:43:25
2023-07-12 13:33:38,500 semantic_segmentation INFO: Iters: 25010/50000 || Lr: 0.010714 || Task Loss: 0.0869 || KD Loss: 0.0255|| 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: 21:43:58 || Estimated Time: 21:42:55
2023-07-12 13:34:10,785 semantic_segmentation INFO: Iters: 25020/50000 || Lr: 0.010710 || Task Loss: 0.0985 || KD Loss: 0.0274|| 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: 21:44:31 || Estimated Time: 21:42:24
2023-07-12 13:34:43,012 semantic_segmentation INFO: Iters: 25030/50000 || Lr: 0.010707 || Task Loss: 0.0930 || KD Loss: 0.0248|| 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: 21:45:03 || Estimated Time: 21:41:54
2023-07-12 13:35:15,347 semantic_segmentation INFO: Iters: 25040/50000 || Lr: 0.010703 || Task Loss: 0.0924 || KD Loss: 0.0257|| 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: 21:45:35 || Estimated Time: 21:41:24
2023-07-12 13:35:47,673 semantic_segmentation INFO: Iters: 25050/50000 || Lr: 0.010699 || Task Loss: 0.0870 || KD Loss: 0.0273|| 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: 21:46:07 || Estimated Time: 21:40:54
2023-07-12 13:36:19,965 semantic_segmentation INFO: Iters: 25060/50000 || Lr: 0.010695 || Task Loss: 0.0962 || KD Loss: 0.0260|| 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: 21:46:40 || Estimated Time: 21:40:23
2023-07-12 13:36:52,357 semantic_segmentation INFO: Iters: 25070/50000 || Lr: 0.010691 || Task Loss: 0.0966 || KD Loss: 0.0253|| 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: 21:47:12 || Estimated Time: 21:39:53
2023-07-12 13:37:24,759 semantic_segmentation INFO: Iters: 25080/50000 || Lr: 0.010687 || Task Loss: 0.1166 || KD Loss: 0.0252|| 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: 21:47:45 || Estimated Time: 21:39:23
2023-07-12 13:37:57,112 semantic_segmentation INFO: Iters: 25090/50000 || Lr: 0.010683 || Task Loss: 0.1003 || KD Loss: 0.0276|| 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: 21:48:17 || Estimated Time: 21:38:53
2023-07-12 13:38:29,317 semantic_segmentation INFO: Iters: 25100/50000 || Lr: 0.010680 || Task Loss: 0.0745 || KD Loss: 0.0259|| 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: 21:48:49 || Estimated Time: 21:38:22
2023-07-12 13:39:01,544 semantic_segmentation INFO: Iters: 25110/50000 || Lr: 0.010676 || Task Loss: 0.0926 || KD Loss: 0.0277|| 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: 21:49:21 || Estimated Time: 21:37:52
2023-07-12 13:39:33,744 semantic_segmentation INFO: Iters: 25120/50000 || Lr: 0.010672 || Task Loss: 0.1006 || KD Loss: 0.0287|| 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: 21:49:54 || Estimated Time: 21:37:22
2023-07-12 13:40:05,965 semantic_segmentation INFO: Iters: 25130/50000 || Lr: 0.010668 || Task Loss: 0.0936 || KD Loss: 0.0225|| 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: 21:50:26 || Estimated Time: 21:36:51
2023-07-12 13:40:38,271 semantic_segmentation INFO: Iters: 25140/50000 || Lr: 0.010664 || Task Loss: 0.0938 || KD Loss: 0.0243|| 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: 21:50:58 || Estimated Time: 21:36:21
2023-07-12 13:41:10,565 semantic_segmentation INFO: Iters: 25150/50000 || Lr: 0.010660 || Task Loss: 0.0954 || KD Loss: 0.0256|| 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: 21:51:30 || Estimated Time: 21:35:51
2023-07-12 13:41:42,826 semantic_segmentation INFO: Iters: 25160/50000 || Lr: 0.010656 || Task Loss: 0.0961 || KD Loss: 0.0265|| 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: 21:52:03 || Estimated Time: 21:35:20
2023-07-12 13:42:15,164 semantic_segmentation INFO: Iters: 25170/50000 || Lr: 0.010653 || Task Loss: 0.1040 || KD Loss: 0.0273|| 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: 21:52:35 || Estimated Time: 21:34:50
2023-07-12 13:42:47,540 semantic_segmentation INFO: Iters: 25180/50000 || Lr: 0.010649 || Task Loss: 0.0900 || KD Loss: 0.0223|| 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: 21:53:07 || Estimated Time: 21:34:20
2023-07-12 13:43:19,932 semantic_segmentation INFO: Iters: 25190/50000 || Lr: 0.010645 || Task Loss: 0.0865 || KD Loss: 0.0221|| 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: 21:53:40 || Estimated Time: 21:33:50
2023-07-12 13:43:52,376 semantic_segmentation INFO: Iters: 25200/50000 || Lr: 0.010641 || Task Loss: 0.0947 || KD Loss: 0.0281|| 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: 21:54:12 || Estimated Time: 21:33:19
2023-07-12 13:44:24,650 semantic_segmentation INFO: Iters: 25210/50000 || Lr: 0.010637 || Task Loss: 0.0979 || KD Loss: 0.0277|| 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: 21:54:44 || Estimated Time: 21:32:49
2023-07-12 13:44:56,961 semantic_segmentation INFO: Iters: 25220/50000 || Lr: 0.010633 || Task Loss: 0.0920 || KD Loss: 0.0263|| 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: 21:55:17 || Estimated Time: 21:32:19
2023-07-12 13:45:29,187 semantic_segmentation INFO: Iters: 25230/50000 || Lr: 0.010629 || Task Loss: 0.0953 || 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: 21:55:49 || Estimated Time: 21:31:48
2023-07-12 13:46:01,381 semantic_segmentation INFO: Iters: 25240/50000 || Lr: 0.010625 || Task Loss: 0.0973 || KD Loss: 0.0290|| 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: 21:56:21 || Estimated Time: 21:31:18
2023-07-12 13:46:33,797 semantic_segmentation INFO: Iters: 25250/50000 || Lr: 0.010622 || Task Loss: 0.1027 || 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: 21:56:54 || Estimated Time: 21:30:48
2023-07-12 13:47:06,119 semantic_segmentation INFO: Iters: 25260/50000 || Lr: 0.010618 || Task Loss: 0.0936 || KD Loss: 0.0256|| 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: 21:57:26 || Estimated Time: 21:30:18
2023-07-12 13:47:38,464 semantic_segmentation INFO: Iters: 25270/50000 || Lr: 0.010614 || Task Loss: 0.0991 || KD Loss: 0.0267|| 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: 21:57:58 || Estimated Time: 21:29:47
2023-07-12 13:48:10,731 semantic_segmentation INFO: Iters: 25280/50000 || Lr: 0.010610 || Task Loss: 0.0940 || KD Loss: 0.0287|| 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: 21:58:30 || Estimated Time: 21:29:17
2023-07-12 13:48:43,017 semantic_segmentation INFO: Iters: 25290/50000 || Lr: 0.010606 || Task Loss: 0.1001 || 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: 21:59:03 || Estimated Time: 21:28:47
2023-07-12 13:49:15,284 semantic_segmentation INFO: Iters: 25300/50000 || Lr: 0.010602 || Task Loss: 0.1154 || KD Loss: 0.0277|| 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: 21:59:35 || Estimated Time: 21:28:16
2023-07-12 13:49:47,790 semantic_segmentation INFO: Iters: 25310/50000 || Lr: 0.010598 || Task Loss: 0.0851 || KD Loss: 0.0226|| 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: 22:00:08 || Estimated Time: 21:27:46
2023-07-12 13:50:20,224 semantic_segmentation INFO: Iters: 25320/50000 || Lr: 0.010595 || Task Loss: 0.0936 || KD Loss: 0.0274|| 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: 22:00:40 || Estimated Time: 21:27:16
2023-07-12 13:50:52,562 semantic_segmentation INFO: Iters: 25330/50000 || Lr: 0.010591 || Task Loss: 0.0847 || KD Loss: 0.0252|| 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: 22:01:12 || Estimated Time: 21:26:46
2023-07-12 13:51:24,927 semantic_segmentation INFO: Iters: 25340/50000 || Lr: 0.010587 || Task Loss: 0.1042 || KD Loss: 0.0242|| 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: 22:01:45 || Estimated Time: 21:26:15
2023-07-12 13:51:57,328 semantic_segmentation INFO: Iters: 25350/50000 || Lr: 0.010583 || Task Loss: 0.0974 || KD Loss: 0.0254|| 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: 22:02:17 || Estimated Time: 21:25:45
2023-07-12 13:52:29,607 semantic_segmentation INFO: Iters: 25360/50000 || Lr: 0.010579 || Task Loss: 0.1023 || KD Loss: 0.0281|| 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: 22:02:49 || Estimated Time: 21:25:15
2023-07-12 13:53:01,892 semantic_segmentation INFO: Iters: 25370/50000 || Lr: 0.010575 || Task Loss: 0.1096 || KD Loss: 0.0285|| 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: 22:03:22 || Estimated Time: 21:24:45
2023-07-12 13:53:34,198 semantic_segmentation INFO: Iters: 25380/50000 || Lr: 0.010571 || Task Loss: 0.1113 || KD Loss: 0.0267|| 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: 22:03:54 || Estimated Time: 21:24:14
2023-07-12 13:54:06,509 semantic_segmentation INFO: Iters: 25390/50000 || Lr: 0.010568 || Task Loss: 0.1089 || KD Loss: 0.0253|| 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: 22:04:26 || Estimated Time: 21:23:44
2023-07-12 13:54:38,867 semantic_segmentation INFO: Iters: 25400/50000 || Lr: 0.010564 || Task Loss: 0.1030 || KD Loss: 0.0230|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0750|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:04:59 || Estimated Time: 21:23:14
2023-07-12 13:55:11,266 semantic_segmentation INFO: Iters: 25410/50000 || Lr: 0.010560 || Task Loss: 0.0921 || KD Loss: 0.0260|| 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: 22:05:31 || Estimated Time: 21:22:43
2023-07-12 13:55:43,579 semantic_segmentation INFO: Iters: 25420/50000 || Lr: 0.010556 || Task Loss: 0.1147 || KD Loss: 0.0268|| 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: 22:06:03 || Estimated Time: 21:22:13
2023-07-12 13:56:15,950 semantic_segmentation INFO: Iters: 25430/50000 || Lr: 0.010552 || Task Loss: 0.0847 || KD Loss: 0.0251|| 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: 22:06:36 || Estimated Time: 21:21:43
2023-07-12 13:56:48,424 semantic_segmentation INFO: Iters: 25440/50000 || Lr: 0.010548 || Task Loss: 0.1210 || KD Loss: 0.0247|| 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: 22:07:08 || Estimated Time: 21:21:13
2023-07-12 13:57:20,775 semantic_segmentation INFO: Iters: 25450/50000 || Lr: 0.010544 || Task Loss: 0.0941 || KD Loss: 0.0249|| 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: 22:07:41 || Estimated Time: 21:20:42
2023-07-12 13:57:53,090 semantic_segmentation INFO: Iters: 25460/50000 || Lr: 0.010540 || Task Loss: 0.1000 || KD Loss: 0.0289|| 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: 22:08:13 || Estimated Time: 21:20:12
2023-07-12 13:58:25,373 semantic_segmentation INFO: Iters: 25470/50000 || Lr: 0.010537 || Task Loss: 0.1055 || KD Loss: 0.0279|| 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: 22:08:45 || Estimated Time: 21:19:42
2023-07-12 13:58:57,657 semantic_segmentation INFO: Iters: 25480/50000 || Lr: 0.010533 || Task Loss: 0.0947 || KD Loss: 0.0269|| 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: 22:09:17 || Estimated Time: 21:19:11
2023-07-12 13:59:29,892 semantic_segmentation INFO: Iters: 25490/50000 || Lr: 0.010529 || Task Loss: 0.1171 || KD Loss: 0.0267|| 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: 22:09:50 || Estimated Time: 21:18:41
2023-07-12 14:00:02,179 semantic_segmentation INFO: Iters: 25500/50000 || Lr: 0.010525 || Task Loss: 0.0984 || KD Loss: 0.0270|| 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: 22:10:22 || Estimated Time: 21:18:11
2023-07-12 14:00:34,487 semantic_segmentation INFO: Iters: 25510/50000 || Lr: 0.010521 || Task Loss: 0.1025 || KD Loss: 0.0254|| 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: 22:10:54 || Estimated Time: 21:17:40
2023-07-12 14:01:06,762 semantic_segmentation INFO: Iters: 25520/50000 || Lr: 0.010517 || Task Loss: 0.0846 || KD Loss: 0.0238|| 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: 22:11:27 || Estimated Time: 21:17:10
2023-07-12 14:01:39,106 semantic_segmentation INFO: Iters: 25530/50000 || Lr: 0.010513 || Task Loss: 0.1097 || KD Loss: 0.0230|| 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: 22:11:59 || Estimated Time: 21:16:40
2023-07-12 14:02:11,480 semantic_segmentation INFO: Iters: 25540/50000 || Lr: 0.010510 || Task Loss: 0.1080 || KD Loss: 0.0245|| 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: 22:12:31 || Estimated Time: 21:16:09
2023-07-12 14:02:44,159 semantic_segmentation INFO: Iters: 25550/50000 || Lr: 0.010506 || Task Loss: 0.1198 || KD Loss: 0.0261|| 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: 22:13:04 || Estimated Time: 21:15:39
2023-07-12 14:03:16,808 semantic_segmentation INFO: Iters: 25560/50000 || Lr: 0.010502 || Task Loss: 0.0990 || KD Loss: 0.0245|| 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: 22:13:37 || Estimated Time: 21:15:09
2023-07-12 14:03:49,221 semantic_segmentation INFO: Iters: 25570/50000 || Lr: 0.010498 || Task Loss: 0.0891 || KD Loss: 0.0242|| 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: 22:14:09 || Estimated Time: 21:14:39
2023-07-12 14:04:21,554 semantic_segmentation INFO: Iters: 25580/50000 || Lr: 0.010494 || Task Loss: 0.0938 || KD Loss: 0.0233|| 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: 22:14:41 || Estimated Time: 21:14:09
2023-07-12 14:04:53,898 semantic_segmentation INFO: Iters: 25590/50000 || Lr: 0.010490 || Task Loss: 0.0988 || KD Loss: 0.0263|| 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: 22:15:14 || Estimated Time: 21:13:38
2023-07-12 14:05:26,153 semantic_segmentation INFO: Iters: 25600/50000 || Lr: 0.010486 || Task Loss: 0.1064 || KD Loss: 0.0252|| 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: 22:15:46 || Estimated Time: 21:13:08
2023-07-12 14:05:26,257 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 14:05:26,451 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.729
2023-07-12 14:05:26,485 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 14:05:26,499 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.732
2023-07-12 14:05:26,513 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.728
2023-07-12 14:05:26,525 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.724
2023-07-12 14:05:26,537 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.727
2023-07-12 14:05:26,550 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 14:05:26,562 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 14:05:26,574 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.728
2023-07-12 14:05:26,586 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.727
2023-07-12 14:05:26,598 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.729
2023-07-12 14:05:26,611 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 14:05:26,623 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 14:05:26,636 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 14:05:26,648 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-12 14:05:26,661 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 14:05:26,673 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-12 14:05:26,686 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-12 14:05:26,698 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 14:05:26,711 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 14:05:26,723 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 14:05:26,736 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 14:05:26,748 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 14:05:26,761 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 14:05:26,773 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 14:05:26,786 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 14:05:26,799 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 14:05:26,813 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 14:05:26,826 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 14:05:26,839 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 14:05:26,852 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 14:05:26,865 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 14:05:26,879 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 14:05:26,892 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 14:05:26,905 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 14:05:26,918 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 14:05:26,931 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.736
2023-07-12 14:05:26,944 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.737
2023-07-12 14:05:26,957 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.736
2023-07-12 14:05:26,970 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.736
2023-07-12 14:05:26,983 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.737
2023-07-12 14:05:26,996 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 14:05:27,009 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 14:05:27,023 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 14:05:27,036 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 14:05:27,049 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 14:05:27,062 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 14:05:27,075 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 14:05:27,089 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 14:05:27,102 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 14:05:27,115 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 14:05:27,128 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 14:05:27,141 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.747
2023-07-12 14:05:27,155 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 14:05:27,168 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 14:05:27,181 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 14:05:27,195 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 14:05:27,208 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 14:05:27,221 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 14:05:27,234 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 14:05:27,247 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 14:05:27,260 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 14:05:27,272 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 14:05:27,285 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-12 14:05:27,298 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 14:05:27,311 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.755
2023-07-12 14:05:27,324 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.756
2023-07-12 14:05:27,336 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 14:05:27,349 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.758
2023-07-12 14:05:27,362 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.759
2023-07-12 14:05:27,375 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 14:05:27,388 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 14:05:27,400 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 14:05:27,413 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 14:05:27,426 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 14:05:27,439 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 14:05:27,453 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 14:05:27,466 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 14:05:27,480 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 14:05:27,493 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 14:05:27,507 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 14:05:27,521 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 14:05:27,534 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 14:05:27,548 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 14:05:27,562 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 14:05:27,575 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 14:05:27,589 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 14:05:27,602 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 14:05:27,615 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 14:05:27,629 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 14:05:27,641 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 14:05:27,654 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 14:05:27,666 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 14:05:27,679 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 14:05:27,692 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 14:05:27,704 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 14:05:27,717 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 14:05:27,729 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 14:05:27,741 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 14:05:27,754 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 14:05:27,766 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 14:06:00,128 semantic_segmentation INFO: Iters: 25610/50000 || Lr: 0.010482 || Task Loss: 0.1036 || KD Loss: 0.0249|| 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: 22:16:20 || Estimated Time: 21:12:39
2023-07-12 14:06:32,396 semantic_segmentation INFO: Iters: 25620/50000 || Lr: 0.010479 || Task Loss: 0.0908 || KD Loss: 0.0257|| 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: 22:16:52 || Estimated Time: 21:12:09
2023-07-12 14:07:04,752 semantic_segmentation INFO: Iters: 25630/50000 || Lr: 0.010475 || Task Loss: 0.1020 || KD Loss: 0.0275|| 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: 22:17:25 || Estimated Time: 21:11:39
2023-07-12 14:07:37,101 semantic_segmentation INFO: Iters: 25640/50000 || Lr: 0.010471 || Task Loss: 0.1161 || KD Loss: 0.0267|| 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: 22:17:57 || Estimated Time: 21:11:08
2023-07-12 14:08:09,430 semantic_segmentation INFO: Iters: 25650/50000 || Lr: 0.010467 || Task Loss: 0.1017 || KD Loss: 0.0249|| 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: 22:18:29 || Estimated Time: 21:10:38
2023-07-12 14:08:41,819 semantic_segmentation INFO: Iters: 25660/50000 || Lr: 0.010463 || Task Loss: 0.0952 || KD Loss: 0.0281|| 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: 22:19:02 || Estimated Time: 21:10:08
2023-07-12 14:09:14,262 semantic_segmentation INFO: Iters: 25670/50000 || Lr: 0.010459 || Task Loss: 0.0732 || KD Loss: 0.0226|| 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: 22:19:34 || Estimated Time: 21:09:37
2023-07-12 14:09:46,538 semantic_segmentation INFO: Iters: 25680/50000 || Lr: 0.010455 || Task Loss: 0.1060 || KD Loss: 0.0247|| 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: 22:20:06 || Estimated Time: 21:09:07
2023-07-12 14:10:18,868 semantic_segmentation INFO: Iters: 25690/50000 || Lr: 0.010452 || Task Loss: 0.0919 || KD Loss: 0.0247|| 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: 22:20:39 || Estimated Time: 21:08:37
2023-07-12 14:10:51,158 semantic_segmentation INFO: Iters: 25700/50000 || Lr: 0.010448 || Task Loss: 0.0991 || KD Loss: 0.0249|| 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: 22:21:11 || Estimated Time: 21:08:06
2023-07-12 14:11:23,389 semantic_segmentation INFO: Iters: 25710/50000 || Lr: 0.010444 || Task Loss: 0.0994 || KD Loss: 0.0260|| 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: 22:21:43 || Estimated Time: 21:07:36
2023-07-12 14:11:55,655 semantic_segmentation INFO: Iters: 25720/50000 || Lr: 0.010440 || Task Loss: 0.1039 || KD Loss: 0.0268|| 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: 22:22:15 || Estimated Time: 21:07:05
2023-07-12 14:12:27,943 semantic_segmentation INFO: Iters: 25730/50000 || Lr: 0.010436 || Task Loss: 0.0965 || KD Loss: 0.0308|| 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: 22:22:48 || Estimated Time: 21:06:35
2023-07-12 14:13:00,234 semantic_segmentation INFO: Iters: 25740/50000 || Lr: 0.010432 || Task Loss: 0.1006 || KD Loss: 0.0235|| 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: 22:23:20 || Estimated Time: 21:06:05
2023-07-12 14:13:32,510 semantic_segmentation INFO: Iters: 25750/50000 || Lr: 0.010428 || Task Loss: 0.0847 || KD Loss: 0.0217|| 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: 22:23:52 || Estimated Time: 21:05:34
2023-07-12 14:14:04,853 semantic_segmentation INFO: Iters: 25760/50000 || Lr: 0.010424 || Task Loss: 0.0822 || KD Loss: 0.0242|| 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: 22:24:25 || Estimated Time: 21:05:04
2023-07-12 14:14:37,233 semantic_segmentation INFO: Iters: 25770/50000 || Lr: 0.010421 || Task Loss: 0.0949 || KD Loss: 0.0240|| 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: 22:24:57 || Estimated Time: 21:04:34
2023-07-12 14:15:09,516 semantic_segmentation INFO: Iters: 25780/50000 || Lr: 0.010417 || Task Loss: 0.0872 || KD Loss: 0.0235|| 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: 22:25:29 || Estimated Time: 21:04:03
2023-07-12 14:15:41,783 semantic_segmentation INFO: Iters: 25790/50000 || Lr: 0.010413 || Task Loss: 0.0921 || KD Loss: 0.0305|| 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: 22:26:02 || Estimated Time: 21:03:33
2023-07-12 14:16:14,015 semantic_segmentation INFO: Iters: 25800/50000 || Lr: 0.010409 || Task Loss: 0.1002 || KD Loss: 0.0339|| 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: 22:26:34 || Estimated Time: 21:03:02
2023-07-12 14:16:46,176 semantic_segmentation INFO: Iters: 25810/50000 || Lr: 0.010405 || Task Loss: 0.0960 || KD Loss: 0.0260|| 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: 22:27:06 || Estimated Time: 21:02:32
2023-07-12 14:17:18,328 semantic_segmentation INFO: Iters: 25820/50000 || Lr: 0.010401 || Task Loss: 0.1054 || KD Loss: 0.0238|| 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: 22:27:38 || Estimated Time: 21:02:01
2023-07-12 14:17:50,637 semantic_segmentation INFO: Iters: 25830/50000 || Lr: 0.010397 || Task Loss: 0.0870 || KD Loss: 0.0246|| 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: 22:28:10 || Estimated Time: 21:01:31
2023-07-12 14:18:22,845 semantic_segmentation INFO: Iters: 25840/50000 || Lr: 0.010393 || Task Loss: 0.0882 || KD Loss: 0.0265|| 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: 22:28:43 || Estimated Time: 21:01:00
2023-07-12 14:18:55,181 semantic_segmentation INFO: Iters: 25850/50000 || Lr: 0.010390 || Task Loss: 0.1000 || KD Loss: 0.0244|| 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: 22:29:15 || Estimated Time: 21:00:30
2023-07-12 14:19:27,435 semantic_segmentation INFO: Iters: 25860/50000 || Lr: 0.010386 || Task Loss: 0.1027 || KD Loss: 0.0255|| 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: 22:29:47 || Estimated Time: 21:00:00
2023-07-12 14:19:59,742 semantic_segmentation INFO: Iters: 25870/50000 || Lr: 0.010382 || Task Loss: 0.0971 || KD Loss: 0.0272|| 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: 22:30:20 || Estimated Time: 20:59:29
2023-07-12 14:20:32,072 semantic_segmentation INFO: Iters: 25880/50000 || Lr: 0.010378 || Task Loss: 0.0810 || KD Loss: 0.0227|| 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: 22:30:52 || Estimated Time: 20:58:59
2023-07-12 14:21:04,426 semantic_segmentation INFO: Iters: 25890/50000 || Lr: 0.010374 || Task Loss: 0.1062 || 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: 22:31:24 || Estimated Time: 20:58:28
2023-07-12 14:21:36,848 semantic_segmentation INFO: Iters: 25900/50000 || Lr: 0.010370 || Task Loss: 0.1015 || KD Loss: 0.0247|| 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: 22:31:57 || Estimated Time: 20:57:58
2023-07-12 14:22:09,169 semantic_segmentation INFO: Iters: 25910/50000 || Lr: 0.010366 || Task Loss: 0.0959 || KD Loss: 0.0318|| 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: 22:32:29 || Estimated Time: 20:57:28
2023-07-12 14:22:41,523 semantic_segmentation INFO: Iters: 25920/50000 || Lr: 0.010362 || Task Loss: 0.0966 || KD Loss: 0.0289|| 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: 22:33:01 || Estimated Time: 20:56:57
2023-07-12 14:23:13,868 semantic_segmentation INFO: Iters: 25930/50000 || Lr: 0.010359 || Task Loss: 0.0932 || KD Loss: 0.0241|| 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: 22:33:34 || Estimated Time: 20:56:27
2023-07-12 14:23:46,192 semantic_segmentation INFO: Iters: 25940/50000 || Lr: 0.010355 || Task Loss: 0.0988 || 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: 22:34:06 || Estimated Time: 20:55:57
2023-07-12 14:24:18,341 semantic_segmentation INFO: Iters: 25950/50000 || Lr: 0.010351 || Task Loss: 0.1019 || KD Loss: 0.0243|| 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: 22:34:38 || Estimated Time: 20:55:26
2023-07-12 14:24:50,550 semantic_segmentation INFO: Iters: 25960/50000 || Lr: 0.010347 || Task Loss: 0.0852 || KD Loss: 0.0256|| 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: 22:35:10 || Estimated Time: 20:54:56
2023-07-12 14:25:22,911 semantic_segmentation INFO: Iters: 25970/50000 || Lr: 0.010343 || Task Loss: 0.1073 || KD Loss: 0.0244|| 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: 22:35:43 || Estimated Time: 20:54:25
2023-07-12 14:25:55,231 semantic_segmentation INFO: Iters: 25980/50000 || Lr: 0.010339 || Task Loss: 0.0998 || KD Loss: 0.0290|| 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: 22:36:15 || Estimated Time: 20:53:55
2023-07-12 14:26:27,588 semantic_segmentation INFO: Iters: 25990/50000 || Lr: 0.010335 || Task Loss: 0.1093 || KD Loss: 0.0243|| 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: 22:36:47 || Estimated Time: 20:53:24
2023-07-12 14:26:59,863 semantic_segmentation INFO: Iters: 26000/50000 || Lr: 0.010332 || Task Loss: 0.1043 || KD Loss: 0.0266|| 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: 22:37:20 || Estimated Time: 20:52:54
2023-07-12 14:27:32,220 semantic_segmentation INFO: Iters: 26010/50000 || Lr: 0.010328 || Task Loss: 0.1029 || KD Loss: 0.0239|| 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: 22:37:52 || Estimated Time: 20:52:24
2023-07-12 14:28:04,572 semantic_segmentation INFO: Iters: 26020/50000 || Lr: 0.010324 || Task Loss: 0.0872 || KD Loss: 0.0235|| 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: 22:38:24 || Estimated Time: 20:51:53
2023-07-12 14:28:36,902 semantic_segmentation INFO: Iters: 26030/50000 || Lr: 0.010320 || Task Loss: 0.1032 || 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: 22:38:57 || Estimated Time: 20:51:23
2023-07-12 14:29:09,181 semantic_segmentation INFO: Iters: 26040/50000 || Lr: 0.010316 || Task Loss: 0.1103 || KD Loss: 0.0279|| 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: 22:39:29 || Estimated Time: 20:50:52
2023-07-12 14:29:41,492 semantic_segmentation INFO: Iters: 26050/50000 || Lr: 0.010312 || Task Loss: 0.1088 || KD Loss: 0.0271|| 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: 22:40:01 || Estimated Time: 20:50:22
2023-07-12 14:30:13,736 semantic_segmentation INFO: Iters: 26060/50000 || Lr: 0.010308 || Task Loss: 0.0958 || KD Loss: 0.0261|| 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: 22:40:33 || Estimated Time: 20:49:52
2023-07-12 14:30:46,028 semantic_segmentation INFO: Iters: 26070/50000 || Lr: 0.010304 || Task Loss: 0.1172 || KD Loss: 0.0270|| 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: 22:41:06 || Estimated Time: 20:49:21
2023-07-12 14:31:18,211 semantic_segmentation INFO: Iters: 26080/50000 || Lr: 0.010301 || Task Loss: 0.1091 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0798|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 22:41:38 || Estimated Time: 20:48:51
2023-07-12 14:31:50,526 semantic_segmentation INFO: Iters: 26090/50000 || Lr: 0.010297 || Task Loss: 0.0878 || 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: 22:42:10 || Estimated Time: 20:48:20
2023-07-12 14:32:22,803 semantic_segmentation INFO: Iters: 26100/50000 || Lr: 0.010293 || Task Loss: 0.0880 || KD Loss: 0.0262|| 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: 22:42:43 || Estimated Time: 20:47:50
2023-07-12 14:32:55,017 semantic_segmentation INFO: Iters: 26110/50000 || Lr: 0.010289 || Task Loss: 0.1162 || KD Loss: 0.0262|| 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: 22:43:15 || Estimated Time: 20:47:19
2023-07-12 14:33:27,323 semantic_segmentation INFO: Iters: 26120/50000 || Lr: 0.010285 || Task Loss: 0.0959 || KD Loss: 0.0290|| 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: 22:43:47 || Estimated Time: 20:46:49
2023-07-12 14:33:59,715 semantic_segmentation INFO: Iters: 26130/50000 || Lr: 0.010281 || Task Loss: 0.0884 || KD Loss: 0.0253|| 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: 22:44:19 || Estimated Time: 20:46:18
2023-07-12 14:34:32,101 semantic_segmentation INFO: Iters: 26140/50000 || Lr: 0.010277 || Task Loss: 0.0997 || KD Loss: 0.0307|| 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: 22:44:52 || Estimated Time: 20:45:48
2023-07-12 14:35:04,435 semantic_segmentation INFO: Iters: 26150/50000 || Lr: 0.010273 || Task Loss: 0.0949 || KD Loss: 0.0270|| 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: 22:45:24 || Estimated Time: 20:45:18
2023-07-12 14:35:36,673 semantic_segmentation INFO: Iters: 26160/50000 || Lr: 0.010269 || Task Loss: 0.1041 || KD Loss: 0.0276|| 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: 22:45:56 || Estimated Time: 20:44:47
2023-07-12 14:36:08,983 semantic_segmentation INFO: Iters: 26170/50000 || Lr: 0.010266 || Task Loss: 0.0865 || KD Loss: 0.0284|| 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: 22:46:29 || Estimated Time: 20:44:17
2023-07-12 14:36:41,187 semantic_segmentation INFO: Iters: 26180/50000 || Lr: 0.010262 || Task Loss: 0.1022 || 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: 22:47:01 || Estimated Time: 20:43:46
2023-07-12 14:37:13,415 semantic_segmentation INFO: Iters: 26190/50000 || Lr: 0.010258 || Task Loss: 0.1056 || KD Loss: 0.0285|| 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: 22:47:33 || Estimated Time: 20:43:16
2023-07-12 14:37:45,672 semantic_segmentation INFO: Iters: 26200/50000 || Lr: 0.010254 || Task Loss: 0.0928 || KD Loss: 0.0266|| 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: 22:48:05 || Estimated Time: 20:42:45
2023-07-12 14:38:17,914 semantic_segmentation INFO: Iters: 26210/50000 || Lr: 0.010250 || Task Loss: 0.0863 || KD Loss: 0.0257|| 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: 22:48:38 || Estimated Time: 20:42:15
2023-07-12 14:38:50,153 semantic_segmentation INFO: Iters: 26220/50000 || Lr: 0.010246 || Task Loss: 0.1114 || KD Loss: 0.0271|| 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: 22:49:10 || Estimated Time: 20:41:44
2023-07-12 14:39:22,511 semantic_segmentation INFO: Iters: 26230/50000 || Lr: 0.010242 || Task Loss: 0.1118 || 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: 22:49:42 || Estimated Time: 20:41:14
2023-07-12 14:39:54,861 semantic_segmentation INFO: Iters: 26240/50000 || Lr: 0.010238 || Task Loss: 0.0769 || KD Loss: 0.0270|| 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: 22:50:15 || Estimated Time: 20:40:43
2023-07-12 14:40:27,255 semantic_segmentation INFO: Iters: 26250/50000 || Lr: 0.010235 || Task Loss: 0.1041 || KD Loss: 0.0274|| 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: 22:50:47 || Estimated Time: 20:40:13
2023-07-12 14:40:59,595 semantic_segmentation INFO: Iters: 26260/50000 || Lr: 0.010231 || Task Loss: 0.1050 || KD Loss: 0.0257|| 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: 22:51:19 || Estimated Time: 20:39:43
2023-07-12 14:41:31,942 semantic_segmentation INFO: Iters: 26270/50000 || Lr: 0.010227 || Task Loss: 0.1013 || KD Loss: 0.0271|| 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: 22:51:52 || Estimated Time: 20:39:12
2023-07-12 14:42:04,145 semantic_segmentation INFO: Iters: 26280/50000 || Lr: 0.010223 || Task Loss: 0.0896 || KD Loss: 0.0267|| 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: 22:52:24 || Estimated Time: 20:38:42
2023-07-12 14:42:36,461 semantic_segmentation INFO: Iters: 26290/50000 || Lr: 0.010219 || Task Loss: 0.0867 || KD Loss: 0.0254|| 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: 22:52:56 || Estimated Time: 20:38:11
2023-07-12 14:43:08,780 semantic_segmentation INFO: Iters: 26300/50000 || Lr: 0.010215 || Task Loss: 0.1074 || KD Loss: 0.0247|| 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: 22:53:29 || Estimated Time: 20:37:41
2023-07-12 14:43:41,022 semantic_segmentation INFO: Iters: 26310/50000 || Lr: 0.010211 || Task Loss: 0.0888 || KD Loss: 0.0252|| 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: 22:54:01 || Estimated Time: 20:37:10
2023-07-12 14:44:13,208 semantic_segmentation INFO: Iters: 26320/50000 || Lr: 0.010207 || Task Loss: 0.0897 || KD Loss: 0.0240|| 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: 22:54:33 || Estimated Time: 20:36:40
2023-07-12 14:44:45,532 semantic_segmentation INFO: Iters: 26330/50000 || Lr: 0.010204 || Task Loss: 0.1006 || KD Loss: 0.0267|| 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: 22:55:05 || Estimated Time: 20:36:09
2023-07-12 14:45:17,877 semantic_segmentation INFO: Iters: 26340/50000 || Lr: 0.010200 || Task Loss: 0.1089 || KD Loss: 0.0251|| 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: 22:55:38 || Estimated Time: 20:35:39
2023-07-12 14:45:50,181 semantic_segmentation INFO: Iters: 26350/50000 || Lr: 0.010196 || Task Loss: 0.0918 || KD Loss: 0.0236|| 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: 22:56:10 || Estimated Time: 20:35:08
2023-07-12 14:46:22,397 semantic_segmentation INFO: Iters: 26360/50000 || Lr: 0.010192 || Task Loss: 0.1152 || KD Loss: 0.0269|| 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: 22:56:42 || Estimated Time: 20:34:38
2023-07-12 14:46:54,757 semantic_segmentation INFO: Iters: 26370/50000 || Lr: 0.010188 || Task Loss: 0.1222 || KD Loss: 0.0254|| 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: 22:57:15 || Estimated Time: 20:34:07
2023-07-12 14:47:27,085 semantic_segmentation INFO: Iters: 26380/50000 || Lr: 0.010184 || Task Loss: 0.1019 || KD Loss: 0.0257|| 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: 22:57:47 || Estimated Time: 20:33:37
2023-07-12 14:47:59,381 semantic_segmentation INFO: Iters: 26390/50000 || Lr: 0.010180 || Task Loss: 0.1018 || KD Loss: 0.0237|| 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: 22:58:19 || Estimated Time: 20:33:06
2023-07-12 14:48:31,594 semantic_segmentation INFO: Iters: 26400/50000 || Lr: 0.010176 || Task Loss: 0.0972 || KD Loss: 0.0266|| 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: 22:58:51 || Estimated Time: 20:32:36
2023-07-12 14:48:31,712 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 14:48:31,903 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-12 14:48:31,917 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-12 14:48:31,931 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.738
2023-07-12 14:48:31,945 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 14:48:31,959 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.729
2023-07-12 14:48:31,974 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 14:48:31,987 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 14:48:32,000 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 14:48:32,012 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.731
2023-07-12 14:48:32,025 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.731
2023-07-12 14:48:32,038 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-12 14:48:32,051 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 14:48:32,063 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 14:48:32,076 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 14:48:32,089 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 14:48:32,102 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 14:48:32,114 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 14:48:32,127 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 14:48:32,140 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 14:48:32,153 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 14:48:32,166 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 14:48:32,178 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 14:48:32,191 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 14:48:32,204 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 14:48:32,217 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 14:48:32,229 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 14:48:32,242 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 14:48:32,255 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 14:48:32,268 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 14:48:32,281 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 14:48:32,294 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 14:48:32,306 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 14:48:32,319 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 14:48:32,332 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-12 14:48:32,345 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-12 14:48:32,358 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 14:48:32,371 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 14:48:32,383 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 14:48:32,396 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 14:48:32,409 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 14:48:32,422 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 14:48:32,436 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 14:48:32,449 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 14:48:32,462 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-12 14:48:32,476 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 14:48:32,489 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 14:48:32,503 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 14:48:32,516 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 14:48:32,529 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 14:48:32,542 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 14:48:32,555 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 14:48:32,569 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 14:48:32,582 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 14:48:32,595 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 14:48:32,609 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 14:48:32,622 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 14:48:32,635 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 14:48:32,648 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-12 14:48:32,661 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 14:48:32,674 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 14:48:32,687 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 14:48:32,701 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-12 14:48:32,714 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 14:48:32,728 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 14:48:32,741 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 14:48:32,754 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 14:48:32,767 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-12 14:48:32,780 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-12 14:48:32,793 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 14:48:32,806 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 14:48:32,819 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 14:48:32,832 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 14:48:32,846 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 14:48:32,859 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 14:48:32,872 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 14:48:32,885 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 14:48:32,899 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.768
2023-07-12 14:48:32,912 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.768
2023-07-12 14:48:32,925 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 14:48:32,939 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-12 14:48:32,952 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-12 14:48:32,965 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-12 14:48:32,979 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 14:48:32,992 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.766
2023-07-12 14:48:33,005 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-12 14:48:33,018 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-12 14:48:33,031 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-12 14:48:33,044 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.766
2023-07-12 14:48:33,057 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.766
2023-07-12 14:48:33,069 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 14:48:33,082 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 14:48:33,095 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 14:48:33,108 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 14:48:33,120 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 14:48:33,133 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 14:48:33,146 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 14:48:33,158 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 14:48:33,171 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 14:48:33,184 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 14:48:33,196 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 14:48:33,209 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 14:49:05,658 semantic_segmentation INFO: Iters: 26410/50000 || Lr: 0.010173 || Task Loss: 0.1005 || KD Loss: 0.0298|| 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: 22:59:25 || Estimated Time: 20:32:07
2023-07-12 14:49:38,213 semantic_segmentation INFO: Iters: 26420/50000 || Lr: 0.010169 || Task Loss: 0.0875 || KD Loss: 0.0241|| 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: 22:59:58 || Estimated Time: 20:31:37
2023-07-12 14:50:10,895 semantic_segmentation INFO: Iters: 26430/50000 || Lr: 0.010165 || Task Loss: 0.0916 || KD Loss: 0.0280|| 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: 23:00:31 || Estimated Time: 20:31:06
2023-07-12 14:50:43,109 semantic_segmentation INFO: Iters: 26440/50000 || Lr: 0.010161 || Task Loss: 0.0873 || KD Loss: 0.0220|| 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: 23:01:03 || Estimated Time: 20:30:36
2023-07-12 14:51:15,445 semantic_segmentation INFO: Iters: 26450/50000 || Lr: 0.010157 || Task Loss: 0.0936 || KD Loss: 0.0251|| 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: 23:01:35 || Estimated Time: 20:30:05
2023-07-12 14:51:47,727 semantic_segmentation INFO: Iters: 26460/50000 || Lr: 0.010153 || Task Loss: 0.1073 || KD Loss: 0.0264|| 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: 23:02:07 || Estimated Time: 20:29:35
2023-07-12 14:52:20,112 semantic_segmentation INFO: Iters: 26470/50000 || Lr: 0.010149 || Task Loss: 0.1036 || KD Loss: 0.0226|| 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: 23:02:40 || Estimated Time: 20:29:05
2023-07-12 14:52:52,549 semantic_segmentation INFO: Iters: 26480/50000 || Lr: 0.010145 || Task Loss: 0.0914 || KD Loss: 0.0235|| 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: 23:03:12 || Estimated Time: 20:28:34
2023-07-12 14:53:24,881 semantic_segmentation INFO: Iters: 26490/50000 || Lr: 0.010141 || Task Loss: 0.0967 || KD Loss: 0.0284|| 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: 23:03:45 || Estimated Time: 20:28:04
2023-07-12 14:53:57,244 semantic_segmentation INFO: Iters: 26500/50000 || Lr: 0.010138 || Task Loss: 0.0959 || KD Loss: 0.0239|| 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: 23:04:17 || Estimated Time: 20:27:33
2023-07-12 14:54:29,569 semantic_segmentation INFO: Iters: 26510/50000 || Lr: 0.010134 || Task Loss: 0.0867 || KD Loss: 0.0263|| 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: 23:04:49 || Estimated Time: 20:27:03
2023-07-12 14:55:01,754 semantic_segmentation INFO: Iters: 26520/50000 || Lr: 0.010130 || Task Loss: 0.0938 || KD Loss: 0.0239|| 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: 23:05:22 || Estimated Time: 20:26:32
2023-07-12 14:55:34,040 semantic_segmentation INFO: Iters: 26530/50000 || Lr: 0.010126 || Task Loss: 0.0904 || KD Loss: 0.0292|| 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: 23:05:54 || Estimated Time: 20:26:02
2023-07-12 14:56:06,207 semantic_segmentation INFO: Iters: 26540/50000 || Lr: 0.010122 || Task Loss: 0.1015 || KD Loss: 0.0252|| 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: 23:06:26 || Estimated Time: 20:25:31
2023-07-12 14:56:38,460 semantic_segmentation INFO: Iters: 26550/50000 || Lr: 0.010118 || Task Loss: 0.0920 || KD Loss: 0.0255|| 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: 23:06:58 || Estimated Time: 20:25:01
2023-07-12 14:57:10,695 semantic_segmentation INFO: Iters: 26560/50000 || Lr: 0.010114 || Task Loss: 0.1098 || KD Loss: 0.0255|| 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: 23:07:30 || Estimated Time: 20:24:30
2023-07-12 14:57:42,942 semantic_segmentation INFO: Iters: 26570/50000 || Lr: 0.010110 || Task Loss: 0.1204 || 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: 23:08:03 || Estimated Time: 20:23:59
2023-07-12 14:58:15,182 semantic_segmentation INFO: Iters: 26580/50000 || Lr: 0.010107 || Task Loss: 0.1049 || KD Loss: 0.0232|| 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: 23:08:35 || Estimated Time: 20:23:29
2023-07-12 14:58:47,568 semantic_segmentation INFO: Iters: 26590/50000 || Lr: 0.010103 || Task Loss: 0.0955 || KD Loss: 0.0253|| 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: 23:09:07 || Estimated Time: 20:22:58
2023-07-12 14:59:19,889 semantic_segmentation INFO: Iters: 26600/50000 || Lr: 0.010099 || Task Loss: 0.0958 || KD Loss: 0.0248|| 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: 23:09:40 || Estimated Time: 20:22:28
2023-07-12 14:59:52,264 semantic_segmentation INFO: Iters: 26610/50000 || Lr: 0.010095 || Task Loss: 0.1035 || KD Loss: 0.0261|| 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: 23:10:12 || Estimated Time: 20:21:58
2023-07-12 15:00:24,674 semantic_segmentation INFO: Iters: 26620/50000 || Lr: 0.010091 || Task Loss: 0.0814 || KD Loss: 0.0230|| 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: 23:10:44 || Estimated Time: 20:21:27
2023-07-12 15:00:57,006 semantic_segmentation INFO: Iters: 26630/50000 || Lr: 0.010087 || Task Loss: 0.0977 || KD Loss: 0.0261|| 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: 23:11:17 || Estimated Time: 20:20:57
2023-07-12 15:01:29,221 semantic_segmentation INFO: Iters: 26640/50000 || Lr: 0.010083 || Task Loss: 0.1133 || KD Loss: 0.0253|| 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: 23:11:49 || Estimated Time: 20:20:26
2023-07-12 15:02:01,549 semantic_segmentation INFO: Iters: 26650/50000 || Lr: 0.010079 || Task Loss: 0.0931 || KD Loss: 0.0279|| 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: 23:12:21 || Estimated Time: 20:19:56
2023-07-12 15:02:33,783 semantic_segmentation INFO: Iters: 26660/50000 || Lr: 0.010075 || Task Loss: 0.1103 || KD Loss: 0.0278|| 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: 23:12:54 || Estimated Time: 20:19:25
2023-07-12 15:03:05,983 semantic_segmentation INFO: Iters: 26670/50000 || Lr: 0.010072 || Task Loss: 0.0886 || KD Loss: 0.0235|| 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: 23:13:26 || Estimated Time: 20:18:54
2023-07-12 15:03:38,179 semantic_segmentation INFO: Iters: 26680/50000 || Lr: 0.010068 || Task Loss: 0.1307 || KD Loss: 0.0257|| 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: 23:13:58 || Estimated Time: 20:18:24
2023-07-12 15:04:10,379 semantic_segmentation INFO: Iters: 26690/50000 || Lr: 0.010064 || Task Loss: 0.0889 || KD Loss: 0.0242|| 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: 23:14:30 || Estimated Time: 20:17:53
2023-07-12 15:04:42,561 semantic_segmentation INFO: Iters: 26700/50000 || Lr: 0.010060 || Task Loss: 0.1040 || KD Loss: 0.0259|| 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: 23:15:02 || Estimated Time: 20:17:23
2023-07-12 15:05:14,887 semantic_segmentation INFO: Iters: 26710/50000 || Lr: 0.010056 || Task Loss: 0.0859 || KD Loss: 0.0246|| 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: 23:15:35 || Estimated Time: 20:16:52
2023-07-12 15:05:47,210 semantic_segmentation INFO: Iters: 26720/50000 || Lr: 0.010052 || Task Loss: 0.1054 || KD Loss: 0.0264|| 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: 23:16:07 || Estimated Time: 20:16:22
2023-07-12 15:06:19,385 semantic_segmentation INFO: Iters: 26730/50000 || Lr: 0.010048 || Task Loss: 0.0834 || KD Loss: 0.0217|| 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: 23:16:39 || Estimated Time: 20:15:51
2023-07-12 15:06:51,852 semantic_segmentation INFO: Iters: 26740/50000 || Lr: 0.010044 || Task Loss: 0.0992 || KD Loss: 0.0265|| 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: 23:17:12 || Estimated Time: 20:15:21
2023-07-12 15:07:24,164 semantic_segmentation INFO: Iters: 26750/50000 || Lr: 0.010040 || Task Loss: 0.0916 || KD Loss: 0.0261|| 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: 23:17:44 || Estimated Time: 20:14:50
2023-07-12 15:07:56,447 semantic_segmentation INFO: Iters: 26760/50000 || Lr: 0.010037 || Task Loss: 0.0941 || KD Loss: 0.0287|| 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: 23:18:16 || Estimated Time: 20:14:20
2023-07-12 15:08:28,641 semantic_segmentation INFO: Iters: 26770/50000 || Lr: 0.010033 || Task Loss: 0.0817 || KD Loss: 0.0264|| 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: 23:18:48 || Estimated Time: 20:13:49
2023-07-12 15:09:00,901 semantic_segmentation INFO: Iters: 26780/50000 || Lr: 0.010029 || Task Loss: 0.0983 || KD Loss: 0.0224|| 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: 23:19:21 || Estimated Time: 20:13:18
2023-07-12 15:09:32,947 semantic_segmentation INFO: Iters: 26790/50000 || Lr: 0.010025 || Task Loss: 0.0908 || KD Loss: 0.0252|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0805|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:19:53 || Estimated Time: 20:12:48
2023-07-12 15:10:05,239 semantic_segmentation INFO: Iters: 26800/50000 || Lr: 0.010021 || Task Loss: 0.0995 || KD Loss: 0.0279|| 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: 23:20:25 || Estimated Time: 20:12:17
2023-07-12 15:10:37,463 semantic_segmentation INFO: Iters: 26810/50000 || Lr: 0.010017 || Task Loss: 0.0855 || KD Loss: 0.0288|| 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: 23:20:57 || Estimated Time: 20:11:46
2023-07-12 15:11:09,713 semantic_segmentation INFO: Iters: 26820/50000 || Lr: 0.010013 || Task Loss: 0.0978 || KD Loss: 0.0229|| 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: 23:21:29 || Estimated Time: 20:11:16
2023-07-12 15:11:41,939 semantic_segmentation INFO: Iters: 26830/50000 || Lr: 0.010009 || Task Loss: 0.1002 || 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: 23:22:02 || Estimated Time: 20:10:45
2023-07-12 15:12:14,300 semantic_segmentation INFO: Iters: 26840/50000 || Lr: 0.010005 || Task Loss: 0.0841 || KD Loss: 0.0247|| 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: 23:22:34 || Estimated Time: 20:10:15
2023-07-12 15:12:46,640 semantic_segmentation INFO: Iters: 26850/50000 || Lr: 0.010002 || Task Loss: 0.1208 || KD Loss: 0.0275|| 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: 23:23:06 || Estimated Time: 20:09:44
2023-07-12 15:13:19,010 semantic_segmentation INFO: Iters: 26860/50000 || Lr: 0.009998 || Task Loss: 0.1091 || KD Loss: 0.0274|| 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: 23:23:39 || Estimated Time: 20:09:14
2023-07-12 15:13:51,349 semantic_segmentation INFO: Iters: 26870/50000 || Lr: 0.009994 || Task Loss: 0.1060 || KD Loss: 0.0256|| 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: 23:24:11 || Estimated Time: 20:08:43
2023-07-12 15:14:23,691 semantic_segmentation INFO: Iters: 26880/50000 || Lr: 0.009990 || Task Loss: 0.1024 || KD Loss: 0.0306|| 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: 23:24:43 || Estimated Time: 20:08:13
2023-07-12 15:14:55,812 semantic_segmentation INFO: Iters: 26890/50000 || Lr: 0.009986 || Task Loss: 0.0965 || KD Loss: 0.0260|| 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: 23:25:16 || Estimated Time: 20:07:42
2023-07-12 15:15:27,968 semantic_segmentation INFO: Iters: 26900/50000 || Lr: 0.009982 || Task Loss: 0.0935 || KD Loss: 0.0267|| 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: 23:25:48 || Estimated Time: 20:07:11
2023-07-12 15:16:00,109 semantic_segmentation INFO: Iters: 26910/50000 || Lr: 0.009978 || Task Loss: 0.1133 || KD Loss: 0.0260|| 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: 23:26:20 || Estimated Time: 20:06:41
2023-07-12 15:16:32,326 semantic_segmentation INFO: Iters: 26920/50000 || Lr: 0.009974 || Task Loss: 0.0930 || KD Loss: 0.0239|| 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: 23:26:52 || Estimated Time: 20:06:10
2023-07-12 15:17:04,534 semantic_segmentation INFO: Iters: 26930/50000 || Lr: 0.009970 || Task Loss: 0.0997 || KD Loss: 0.0264|| 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: 23:27:24 || Estimated Time: 20:05:40
2023-07-12 15:17:36,684 semantic_segmentation INFO: Iters: 26940/50000 || Lr: 0.009967 || Task Loss: 0.0882 || KD Loss: 0.0250|| 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: 23:27:56 || Estimated Time: 20:05:09
2023-07-12 15:18:09,094 semantic_segmentation INFO: Iters: 26950/50000 || Lr: 0.009963 || Task Loss: 0.0989 || KD Loss: 0.0284|| 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: 23:28:29 || Estimated Time: 20:04:38
2023-07-12 15:18:41,607 semantic_segmentation INFO: Iters: 26960/50000 || Lr: 0.009959 || Task Loss: 0.0969 || KD Loss: 0.0235|| 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: 23:29:01 || Estimated Time: 20:04:08
2023-07-12 15:19:13,948 semantic_segmentation INFO: Iters: 26970/50000 || Lr: 0.009955 || Task Loss: 0.0898 || KD Loss: 0.0262|| 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: 23:29:34 || Estimated Time: 20:03:37
2023-07-12 15:19:46,278 semantic_segmentation INFO: Iters: 26980/50000 || Lr: 0.009951 || Task Loss: 0.0912 || KD Loss: 0.0257|| 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: 23:30:06 || Estimated Time: 20:03:07
2023-07-12 15:20:18,660 semantic_segmentation INFO: Iters: 26990/50000 || Lr: 0.009947 || Task Loss: 0.0908 || KD Loss: 0.0245|| 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: 23:30:38 || Estimated Time: 20:02:36
2023-07-12 15:20:50,981 semantic_segmentation INFO: Iters: 27000/50000 || Lr: 0.009943 || Task Loss: 0.1081 || KD Loss: 0.0267|| 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: 23:31:11 || Estimated Time: 20:02:06
2023-07-12 15:21:23,270 semantic_segmentation INFO: Iters: 27010/50000 || Lr: 0.009939 || Task Loss: 0.1067 || KD Loss: 0.0257|| 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: 23:31:43 || Estimated Time: 20:01:35
2023-07-12 15:21:55,512 semantic_segmentation INFO: Iters: 27020/50000 || Lr: 0.009935 || Task Loss: 0.0792 || KD Loss: 0.0217|| 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: 23:32:15 || Estimated Time: 20:01:05
2023-07-12 15:22:27,716 semantic_segmentation INFO: Iters: 27030/50000 || Lr: 0.009932 || Task Loss: 0.0828 || KD Loss: 0.0225|| 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: 23:32:47 || Estimated Time: 20:00:34
2023-07-12 15:22:59,869 semantic_segmentation INFO: Iters: 27040/50000 || Lr: 0.009928 || Task Loss: 0.0984 || KD Loss: 0.0262|| 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: 23:33:20 || Estimated Time: 20:00:03
2023-07-12 15:23:32,173 semantic_segmentation INFO: Iters: 27050/50000 || Lr: 0.009924 || Task Loss: 0.1047 || KD Loss: 0.0254|| 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: 23:33:52 || Estimated Time: 19:59:33
2023-07-12 15:24:04,431 semantic_segmentation INFO: Iters: 27060/50000 || Lr: 0.009920 || Task Loss: 0.0975 || KD Loss: 0.0276|| 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: 23:34:24 || Estimated Time: 19:59:02
2023-07-12 15:24:36,684 semantic_segmentation INFO: Iters: 27070/50000 || Lr: 0.009916 || Task Loss: 0.1141 || KD Loss: 0.0318|| 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: 23:34:56 || Estimated Time: 19:58:32
2023-07-12 15:25:09,011 semantic_segmentation INFO: Iters: 27080/50000 || Lr: 0.009912 || Task Loss: 0.0889 || KD Loss: 0.0266|| 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: 23:35:29 || Estimated Time: 19:58:01
2023-07-12 15:25:41,251 semantic_segmentation INFO: Iters: 27090/50000 || Lr: 0.009908 || Task Loss: 0.0929 || KD Loss: 0.0229|| 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: 23:36:01 || Estimated Time: 19:57:31
2023-07-12 15:26:13,613 semantic_segmentation INFO: Iters: 27100/50000 || Lr: 0.009904 || Task Loss: 0.0987 || KD Loss: 0.0223|| 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: 23:36:33 || Estimated Time: 19:57:00
2023-07-12 15:26:45,961 semantic_segmentation INFO: Iters: 27110/50000 || Lr: 0.009900 || Task Loss: 0.1111 || KD Loss: 0.0249|| 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: 23:37:06 || Estimated Time: 19:56:29
2023-07-12 15:27:18,256 semantic_segmentation INFO: Iters: 27120/50000 || Lr: 0.009897 || Task Loss: 0.1052 || KD Loss: 0.0233|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0792|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 23:37:38 || Estimated Time: 19:55:59
2023-07-12 15:27:50,533 semantic_segmentation INFO: Iters: 27130/50000 || Lr: 0.009893 || Task Loss: 0.0945 || KD Loss: 0.0271|| 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: 23:38:10 || Estimated Time: 19:55:28
2023-07-12 15:28:22,791 semantic_segmentation INFO: Iters: 27140/50000 || Lr: 0.009889 || Task Loss: 0.0935 || KD Loss: 0.0243|| 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: 23:38:43 || Estimated Time: 19:54:58
2023-07-12 15:28:54,980 semantic_segmentation INFO: Iters: 27150/50000 || Lr: 0.009885 || Task Loss: 0.1058 || KD Loss: 0.0257|| 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: 23:39:15 || Estimated Time: 19:54:27
2023-07-12 15:29:27,227 semantic_segmentation INFO: Iters: 27160/50000 || Lr: 0.009881 || Task Loss: 0.0972 || KD Loss: 0.0261|| 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: 23:39:47 || Estimated Time: 19:53:56
2023-07-12 15:29:59,507 semantic_segmentation INFO: Iters: 27170/50000 || Lr: 0.009877 || Task Loss: 0.0983 || KD Loss: 0.0292|| 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: 23:40:19 || Estimated Time: 19:53:26
2023-07-12 15:30:31,867 semantic_segmentation INFO: Iters: 27180/50000 || Lr: 0.009873 || Task Loss: 0.1018 || KD Loss: 0.0224|| 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: 23:40:52 || Estimated Time: 19:52:55
2023-07-12 15:31:04,218 semantic_segmentation INFO: Iters: 27190/50000 || Lr: 0.009869 || Task Loss: 0.0968 || KD Loss: 0.0256|| 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: 23:41:24 || Estimated Time: 19:52:25
2023-07-12 15:31:36,546 semantic_segmentation INFO: Iters: 27200/50000 || Lr: 0.009865 || Task Loss: 0.0923 || KD Loss: 0.0255|| 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: 23:41:56 || Estimated Time: 19:51:54
2023-07-12 15:31:36,644 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 15:31:36,846 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 15:31:36,861 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 15:31:36,875 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 15:31:36,889 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.961, mIoU: 0.727
2023-07-12 15:31:36,903 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.960, mIoU: 0.722
2023-07-12 15:31:36,915 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.960, mIoU: 0.721
2023-07-12 15:31:36,927 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.960, mIoU: 0.722
2023-07-12 15:31:36,939 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.960, mIoU: 0.724
2023-07-12 15:31:36,951 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.960, mIoU: 0.723
2023-07-12 15:31:36,964 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.960, mIoU: 0.724
2023-07-12 15:31:36,976 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.960, mIoU: 0.726
2023-07-12 15:31:36,988 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.725
2023-07-12 15:31:37,001 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.959, mIoU: 0.728
2023-07-12 15:31:37,014 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.959, mIoU: 0.731
2023-07-12 15:31:37,026 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.959, mIoU: 0.733
2023-07-12 15:31:37,038 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.959, mIoU: 0.735
2023-07-12 15:31:37,051 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.959, mIoU: 0.735
2023-07-12 15:31:37,063 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 15:31:37,076 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.959, mIoU: 0.735
2023-07-12 15:31:37,088 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 15:31:37,101 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 15:31:37,113 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.732
2023-07-12 15:31:37,126 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.957, mIoU: 0.731
2023-07-12 15:31:37,138 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.957, mIoU: 0.730
2023-07-12 15:31:37,150 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.957, mIoU: 0.730
2023-07-12 15:31:37,163 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.957, mIoU: 0.732
2023-07-12 15:31:37,176 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.957, mIoU: 0.731
2023-07-12 15:31:37,189 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.957, mIoU: 0.731
2023-07-12 15:31:37,202 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.957, mIoU: 0.732
2023-07-12 15:31:37,215 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 15:31:37,228 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 15:31:37,241 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-12 15:31:37,254 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-12 15:31:37,267 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.957, mIoU: 0.735
2023-07-12 15:31:37,280 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.957, mIoU: 0.736
2023-07-12 15:31:37,293 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 15:31:37,305 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.734
2023-07-12 15:31:37,319 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.735
2023-07-12 15:31:37,331 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.955, mIoU: 0.734
2023-07-12 15:31:37,345 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.955, mIoU: 0.735
2023-07-12 15:31:37,357 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.955, mIoU: 0.736
2023-07-12 15:31:37,370 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.737
2023-07-12 15:31:37,383 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 15:31:37,397 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 15:31:37,410 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.740
2023-07-12 15:31:37,423 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.955, mIoU: 0.741
2023-07-12 15:31:37,436 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.955, mIoU: 0.743
2023-07-12 15:31:37,450 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.955, mIoU: 0.744
2023-07-12 15:31:37,463 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.955, mIoU: 0.745
2023-07-12 15:31:37,476 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.745
2023-07-12 15:31:37,489 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.954, mIoU: 0.746
2023-07-12 15:31:37,502 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.747
2023-07-12 15:31:37,516 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.748
2023-07-12 15:31:37,529 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 15:31:37,542 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.953, mIoU: 0.749
2023-07-12 15:31:37,556 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.750
2023-07-12 15:31:37,569 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.750
2023-07-12 15:31:37,582 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.751
2023-07-12 15:31:37,595 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 15:31:37,608 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.952, mIoU: 0.753
2023-07-12 15:31:37,622 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.952, mIoU: 0.754
2023-07-12 15:31:37,635 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 15:31:37,648 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.951, mIoU: 0.755
2023-07-12 15:31:37,662 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.951, mIoU: 0.756
2023-07-12 15:31:37,675 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 15:31:37,688 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.950, mIoU: 0.757
2023-07-12 15:31:37,701 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.758
2023-07-12 15:31:37,714 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 15:31:37,727 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-12 15:31:37,740 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 15:31:37,754 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 15:31:37,767 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 15:31:37,780 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 15:31:37,793 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 15:31:37,806 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 15:31:37,820 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 15:31:37,835 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 15:31:37,848 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 15:31:37,861 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 15:31:37,874 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-12 15:31:37,887 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-12 15:31:37,900 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-12 15:31:37,913 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 15:31:37,926 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.945, mIoU: 0.762
2023-07-12 15:31:37,939 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.945, mIoU: 0.762
2023-07-12 15:31:37,952 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.945, mIoU: 0.762
2023-07-12 15:31:37,965 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.945, mIoU: 0.762
2023-07-12 15:31:37,977 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.945, mIoU: 0.762
2023-07-12 15:31:37,991 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.945, mIoU: 0.763
2023-07-12 15:31:38,004 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.945, mIoU: 0.761
2023-07-12 15:31:38,017 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.945, mIoU: 0.761
2023-07-12 15:31:38,030 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.945, mIoU: 0.761
2023-07-12 15:31:38,044 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.945, mIoU: 0.761
2023-07-12 15:31:38,057 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 15:31:38,070 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 15:31:38,084 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 15:31:38,097 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 15:31:38,110 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 15:31:38,123 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 15:31:38,136 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 15:31:38,149 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 15:32:10,777 semantic_segmentation INFO: Iters: 27210/50000 || Lr: 0.009862 || Task Loss: 0.0925 || KD Loss: 0.0233|| 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: 23:42:31 || Estimated Time: 19:51:25
2023-07-12 15:32:43,120 semantic_segmentation INFO: Iters: 27220/50000 || Lr: 0.009858 || Task Loss: 0.1027 || KD Loss: 0.0274|| 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: 23:43:03 || Estimated Time: 19:50:55
2023-07-12 15:33:15,414 semantic_segmentation INFO: Iters: 27230/50000 || Lr: 0.009854 || Task Loss: 0.1055 || KD Loss: 0.0252|| 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: 23:43:35 || Estimated Time: 19:50:24
2023-07-12 15:33:47,657 semantic_segmentation INFO: Iters: 27240/50000 || Lr: 0.009850 || Task Loss: 0.0864 || KD Loss: 0.0245|| 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: 23:44:07 || Estimated Time: 19:49:53
2023-07-12 15:34:20,026 semantic_segmentation INFO: Iters: 27250/50000 || Lr: 0.009846 || Task Loss: 0.1077 || KD Loss: 0.0270|| 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: 23:44:40 || Estimated Time: 19:49:23
2023-07-12 15:34:52,306 semantic_segmentation INFO: Iters: 27260/50000 || Lr: 0.009842 || Task Loss: 0.1050 || KD Loss: 0.0279|| 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: 23:45:12 || Estimated Time: 19:48:52
2023-07-12 15:35:24,560 semantic_segmentation INFO: Iters: 27270/50000 || Lr: 0.009838 || Task Loss: 0.0901 || KD Loss: 0.0229|| 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: 23:45:44 || Estimated Time: 19:48:22
2023-07-12 15:35:56,777 semantic_segmentation INFO: Iters: 27280/50000 || Lr: 0.009834 || Task Loss: 0.0896 || KD Loss: 0.0268|| 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: 23:46:17 || Estimated Time: 19:47:51
2023-07-12 15:36:29,462 semantic_segmentation INFO: Iters: 27290/50000 || Lr: 0.009830 || Task Loss: 0.0969 || 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: 23:46:49 || Estimated Time: 19:47:21
2023-07-12 15:37:02,007 semantic_segmentation INFO: Iters: 27300/50000 || Lr: 0.009826 || Task Loss: 0.0844 || KD Loss: 0.0247|| 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: 23:47:22 || Estimated Time: 19:46:50
2023-07-12 15:37:34,421 semantic_segmentation INFO: Iters: 27310/50000 || Lr: 0.009823 || Task Loss: 0.1009 || KD Loss: 0.0227|| 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: 23:47:54 || Estimated Time: 19:46:20
2023-07-12 15:38:06,904 semantic_segmentation INFO: Iters: 27320/50000 || Lr: 0.009819 || Task Loss: 0.0900 || KD Loss: 0.0239|| 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: 23:48:27 || Estimated Time: 19:45:49
2023-07-12 15:38:39,360 semantic_segmentation INFO: Iters: 27330/50000 || Lr: 0.009815 || Task Loss: 0.0859 || KD Loss: 0.0251|| 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: 23:48:59 || Estimated Time: 19:45:19
2023-07-12 15:39:11,826 semantic_segmentation INFO: Iters: 27340/50000 || Lr: 0.009811 || Task Loss: 0.1075 || KD Loss: 0.0237|| 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: 23:49:32 || Estimated Time: 19:44:48
2023-07-12 15:39:44,209 semantic_segmentation INFO: Iters: 27350/50000 || Lr: 0.009807 || Task Loss: 0.0996 || KD Loss: 0.0254|| 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: 23:50:04 || Estimated Time: 19:44:18
2023-07-12 15:40:16,579 semantic_segmentation INFO: Iters: 27360/50000 || Lr: 0.009803 || Task Loss: 0.0885 || KD Loss: 0.0260|| 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: 23:50:36 || Estimated Time: 19:43:47
2023-07-12 15:40:48,922 semantic_segmentation INFO: Iters: 27370/50000 || Lr: 0.009799 || Task Loss: 0.1076 || KD Loss: 0.0298|| 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: 23:51:09 || Estimated Time: 19:43:17
2023-07-12 15:41:21,279 semantic_segmentation INFO: Iters: 27380/50000 || Lr: 0.009795 || Task Loss: 0.0827 || KD Loss: 0.0314|| 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: 23:51:41 || Estimated Time: 19:42:46
2023-07-12 15:41:53,638 semantic_segmentation INFO: Iters: 27390/50000 || Lr: 0.009791 || Task Loss: 0.0960 || KD Loss: 0.0235|| 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: 23:52:13 || Estimated Time: 19:42:16
2023-07-12 15:42:26,054 semantic_segmentation INFO: Iters: 27400/50000 || Lr: 0.009788 || Task Loss: 0.0799 || KD Loss: 0.0271|| 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: 23:52:46 || Estimated Time: 19:41:45
2023-07-12 15:42:58,513 semantic_segmentation INFO: Iters: 27410/50000 || Lr: 0.009784 || Task Loss: 0.0864 || KD Loss: 0.0256|| 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: 23:53:18 || Estimated Time: 19:41:15
2023-07-12 15:43:30,900 semantic_segmentation INFO: Iters: 27420/50000 || Lr: 0.009780 || Task Loss: 0.0932 || KD Loss: 0.0250|| 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: 23:53:51 || Estimated Time: 19:40:44
2023-07-12 15:44:03,304 semantic_segmentation INFO: Iters: 27430/50000 || Lr: 0.009776 || Task Loss: 0.0891 || KD Loss: 0.0239|| 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: 23:54:23 || Estimated Time: 19:40:14
2023-07-12 15:44:35,786 semantic_segmentation INFO: Iters: 27440/50000 || Lr: 0.009772 || Task Loss: 0.1051 || KD Loss: 0.0249|| 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: 23:54:56 || Estimated Time: 19:39:43
2023-07-12 15:45:08,158 semantic_segmentation INFO: Iters: 27450/50000 || Lr: 0.009768 || Task Loss: 0.0917 || KD Loss: 0.0272|| 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: 23:55:28 || Estimated Time: 19:39:13
2023-07-12 15:45:40,525 semantic_segmentation INFO: Iters: 27460/50000 || Lr: 0.009764 || Task Loss: 0.1045 || KD Loss: 0.0226|| 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: 23:56:00 || Estimated Time: 19:38:42
2023-07-12 15:46:12,972 semantic_segmentation INFO: Iters: 27470/50000 || Lr: 0.009760 || Task Loss: 0.1154 || KD Loss: 0.0277|| 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: 23:56:33 || Estimated Time: 19:38:12
2023-07-12 15:46:45,337 semantic_segmentation INFO: Iters: 27480/50000 || Lr: 0.009756 || Task Loss: 0.0918 || KD Loss: 0.0257|| 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: 23:57:05 || Estimated Time: 19:37:41
2023-07-12 15:47:17,741 semantic_segmentation INFO: Iters: 27490/50000 || Lr: 0.009752 || Task Loss: 0.0917 || KD Loss: 0.0242|| 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: 23:57:38 || Estimated Time: 19:37:10
2023-07-12 15:47:50,149 semantic_segmentation INFO: Iters: 27500/50000 || Lr: 0.009749 || Task Loss: 0.1160 || KD Loss: 0.0237|| 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: 23:58:10 || Estimated Time: 19:36:40
2023-07-12 15:48:22,371 semantic_segmentation INFO: Iters: 27510/50000 || Lr: 0.009745 || Task Loss: 0.0966 || KD Loss: 0.0244|| 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: 23:58:42 || Estimated Time: 19:36:09
2023-07-12 15:48:54,741 semantic_segmentation INFO: Iters: 27520/50000 || Lr: 0.009741 || Task Loss: 0.0992 || KD Loss: 0.0252|| 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: 23:59:15 || Estimated Time: 19:35:39
2023-07-12 15:49:27,201 semantic_segmentation INFO: Iters: 27530/50000 || Lr: 0.009737 || Task Loss: 0.1066 || KD Loss: 0.0252|| 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: 23:59:47 || Estimated Time: 19:35:08
2023-07-12 15:49:59,580 semantic_segmentation INFO: Iters: 27540/50000 || Lr: 0.009733 || Task Loss: 0.0976 || KD Loss: 0.0232|| 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, 0:00:19 || Estimated Time: 19:34:38
2023-07-12 15:50:31,952 semantic_segmentation INFO: Iters: 27550/50000 || Lr: 0.009729 || Task Loss: 0.0940 || KD Loss: 0.0275|| 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, 0:00:52 || Estimated Time: 19:34:07
2023-07-12 15:51:04,317 semantic_segmentation INFO: Iters: 27560/50000 || Lr: 0.009725 || Task Loss: 0.1033 || KD Loss: 0.0226|| 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, 0:01:24 || Estimated Time: 19:33:36
2023-07-12 15:51:36,681 semantic_segmentation INFO: Iters: 27570/50000 || Lr: 0.009721 || Task Loss: 0.0896 || KD Loss: 0.0229|| 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, 0:01:56 || Estimated Time: 19:33:06
2023-07-12 15:52:09,078 semantic_segmentation INFO: Iters: 27580/50000 || Lr: 0.009717 || Task Loss: 0.1120 || KD Loss: 0.0285|| 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, 0:02:29 || Estimated Time: 19:32:35
2023-07-12 15:52:41,451 semantic_segmentation INFO: Iters: 27590/50000 || Lr: 0.009713 || Task Loss: 0.0964 || KD Loss: 0.0226|| 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, 0:03:01 || Estimated Time: 19:32:05
2023-07-12 15:53:13,942 semantic_segmentation INFO: Iters: 27600/50000 || Lr: 0.009710 || Task Loss: 0.0938 || KD Loss: 0.0266|| 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, 0:03:34 || Estimated Time: 19:31:34
2023-07-12 15:53:46,329 semantic_segmentation INFO: Iters: 27610/50000 || Lr: 0.009706 || Task Loss: 0.1029 || KD Loss: 0.0282|| 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, 0:04:06 || Estimated Time: 19:31:04
2023-07-12 15:54:18,721 semantic_segmentation INFO: Iters: 27620/50000 || Lr: 0.009702 || Task Loss: 0.1006 || KD Loss: 0.0243|| 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, 0:04:38 || Estimated Time: 19:30:33
2023-07-12 15:54:51,193 semantic_segmentation INFO: Iters: 27630/50000 || Lr: 0.009698 || Task Loss: 0.1133 || KD Loss: 0.0292|| 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, 0:05:11 || Estimated Time: 19:30:03
2023-07-12 15:55:23,622 semantic_segmentation INFO: Iters: 27640/50000 || Lr: 0.009694 || Task Loss: 0.0806 || KD Loss: 0.0257|| 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, 0:05:43 || Estimated Time: 19:29:32
2023-07-12 15:55:56,128 semantic_segmentation INFO: Iters: 27650/50000 || Lr: 0.009690 || Task Loss: 0.0971 || KD Loss: 0.0262|| 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, 0:06:16 || Estimated Time: 19:29:02
2023-07-12 15:56:28,510 semantic_segmentation INFO: Iters: 27660/50000 || Lr: 0.009686 || Task Loss: 0.1007 || KD Loss: 0.0235|| 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, 0:06:48 || Estimated Time: 19:28:31
2023-07-12 15:57:00,936 semantic_segmentation INFO: Iters: 27670/50000 || Lr: 0.009682 || Task Loss: 0.0911 || KD Loss: 0.0241|| 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, 0:07:21 || Estimated Time: 19:28:00
2023-07-12 15:57:33,248 semantic_segmentation INFO: Iters: 27680/50000 || Lr: 0.009678 || Task Loss: 0.0861 || KD Loss: 0.0254|| 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, 0:07:53 || Estimated Time: 19:27:30
2023-07-12 15:58:05,601 semantic_segmentation INFO: Iters: 27690/50000 || Lr: 0.009674 || Task Loss: 0.1052 || KD Loss: 0.0248|| 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, 0:08:25 || Estimated Time: 19:26:59
2023-07-12 15:58:37,940 semantic_segmentation INFO: Iters: 27700/50000 || Lr: 0.009670 || Task Loss: 0.1048 || KD Loss: 0.0253|| 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, 0:08:58 || Estimated Time: 19:26:29
2023-07-12 15:59:10,307 semantic_segmentation INFO: Iters: 27710/50000 || Lr: 0.009667 || Task Loss: 0.0953 || KD Loss: 0.0260|| 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, 0:09:30 || Estimated Time: 19:25:58
2023-07-12 15:59:42,642 semantic_segmentation INFO: Iters: 27720/50000 || Lr: 0.009663 || Task Loss: 0.1196 || KD Loss: 0.0255|| 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, 0:10:02 || Estimated Time: 19:25:27
2023-07-12 16:00:15,013 semantic_segmentation INFO: Iters: 27730/50000 || Lr: 0.009659 || Task Loss: 0.1101 || KD Loss: 0.0282|| 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, 0:10:35 || Estimated Time: 19:24:57
2023-07-12 16:00:47,381 semantic_segmentation INFO: Iters: 27740/50000 || Lr: 0.009655 || Task Loss: 0.0984 || KD Loss: 0.0279|| 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, 0:11:07 || Estimated Time: 19:24:26
2023-07-12 16:01:19,762 semantic_segmentation INFO: Iters: 27750/50000 || Lr: 0.009651 || Task Loss: 0.0914 || KD Loss: 0.0246|| 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, 0:11:40 || Estimated Time: 19:23:56
2023-07-12 16:01:52,245 semantic_segmentation INFO: Iters: 27760/50000 || Lr: 0.009647 || Task Loss: 0.1034 || KD Loss: 0.0285|| 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, 0:12:12 || Estimated Time: 19:23:25
2023-07-12 16:02:24,632 semantic_segmentation INFO: Iters: 27770/50000 || Lr: 0.009643 || Task Loss: 0.0840 || KD Loss: 0.0237|| 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, 0:12:44 || Estimated Time: 19:22:54
2023-07-12 16:02:57,013 semantic_segmentation INFO: Iters: 27780/50000 || Lr: 0.009639 || Task Loss: 0.1013 || KD Loss: 0.0283|| 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, 0:13:17 || Estimated Time: 19:22:24
2023-07-12 16:03:29,394 semantic_segmentation INFO: Iters: 27790/50000 || Lr: 0.009635 || Task Loss: 0.0890 || KD Loss: 0.0243|| 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, 0:13:49 || Estimated Time: 19:21:53
2023-07-12 16:04:01,984 semantic_segmentation INFO: Iters: 27800/50000 || Lr: 0.009631 || Task Loss: 0.1048 || KD Loss: 0.0241|| 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, 0:14:22 || Estimated Time: 19:21:23
2023-07-12 16:04:34,533 semantic_segmentation INFO: Iters: 27810/50000 || Lr: 0.009628 || Task Loss: 0.0881 || KD Loss: 0.0256|| 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, 0:14:54 || Estimated Time: 19:20:52
2023-07-12 16:05:07,256 semantic_segmentation INFO: Iters: 27820/50000 || Lr: 0.009624 || Task Loss: 0.0939 || KD Loss: 0.0249|| 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, 0:15:27 || Estimated Time: 19:20:22
2023-07-12 16:05:39,706 semantic_segmentation INFO: Iters: 27830/50000 || Lr: 0.009620 || Task Loss: 0.1105 || KD Loss: 0.0240|| 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, 0:15:59 || Estimated Time: 19:19:52
2023-07-12 16:06:12,037 semantic_segmentation INFO: Iters: 27840/50000 || Lr: 0.009616 || Task Loss: 0.0947 || KD Loss: 0.0252|| 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, 0:16:32 || Estimated Time: 19:19:21
2023-07-12 16:06:44,377 semantic_segmentation INFO: Iters: 27850/50000 || Lr: 0.009612 || Task Loss: 0.0991 || KD Loss: 0.0326|| 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, 0:17:04 || Estimated Time: 19:18:50
2023-07-12 16:07:16,880 semantic_segmentation INFO: Iters: 27860/50000 || Lr: 0.009608 || Task Loss: 0.0998 || KD Loss: 0.0268|| 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, 0:17:37 || Estimated Time: 19:18:20
2023-07-12 16:07:49,438 semantic_segmentation INFO: Iters: 27870/50000 || Lr: 0.009604 || Task Loss: 0.1065 || KD Loss: 0.0271|| 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, 0:18:09 || Estimated Time: 19:17:49
2023-07-12 16:08:21,790 semantic_segmentation INFO: Iters: 27880/50000 || Lr: 0.009600 || Task Loss: 0.0894 || KD Loss: 0.0221|| 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, 0:18:42 || Estimated Time: 19:17:19
2023-07-12 16:08:54,493 semantic_segmentation INFO: Iters: 27890/50000 || Lr: 0.009596 || Task Loss: 0.1013 || 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, 0:19:14 || Estimated Time: 19:16:48
2023-07-12 16:09:26,908 semantic_segmentation INFO: Iters: 27900/50000 || Lr: 0.009592 || Task Loss: 0.0963 || KD Loss: 0.0241|| 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, 0:19:47 || Estimated Time: 19:16:18
2023-07-12 16:09:59,263 semantic_segmentation INFO: Iters: 27910/50000 || Lr: 0.009589 || Task Loss: 0.1023 || KD Loss: 0.0279|| 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, 0:20:19 || Estimated Time: 19:15:47
2023-07-12 16:10:31,605 semantic_segmentation INFO: Iters: 27920/50000 || Lr: 0.009585 || Task Loss: 0.0994 || KD Loss: 0.0238|| 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, 0:20:51 || Estimated Time: 19:15:16
2023-07-12 16:11:03,855 semantic_segmentation INFO: Iters: 27930/50000 || Lr: 0.009581 || Task Loss: 0.0956 || KD Loss: 0.0248|| 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, 0:21:24 || Estimated Time: 19:14:46
2023-07-12 16:11:36,408 semantic_segmentation INFO: Iters: 27940/50000 || Lr: 0.009577 || Task Loss: 0.0938 || KD Loss: 0.0290|| 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, 0:21:56 || Estimated Time: 19:14:15
2023-07-12 16:12:09,169 semantic_segmentation INFO: Iters: 27950/50000 || Lr: 0.009573 || Task Loss: 0.0987 || KD Loss: 0.0242|| 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, 0:22:29 || Estimated Time: 19:13:45
2023-07-12 16:12:41,512 semantic_segmentation INFO: Iters: 27960/50000 || Lr: 0.009569 || Task Loss: 0.0863 || KD Loss: 0.0260|| 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, 0:23:01 || Estimated Time: 19:13:14
2023-07-12 16:13:13,902 semantic_segmentation INFO: Iters: 27970/50000 || Lr: 0.009565 || Task Loss: 0.0967 || KD Loss: 0.0272|| 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, 0:23:34 || Estimated Time: 19:12:44
2023-07-12 16:13:46,409 semantic_segmentation INFO: Iters: 27980/50000 || Lr: 0.009561 || Task Loss: 0.1034 || KD Loss: 0.0252|| 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, 0:24:06 || Estimated Time: 19:12:13
2023-07-12 16:14:18,930 semantic_segmentation INFO: Iters: 27990/50000 || Lr: 0.009557 || Task Loss: 0.0996 || KD Loss: 0.0249|| 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, 0:24:39 || Estimated Time: 19:11:43
2023-07-12 16:14:51,373 semantic_segmentation INFO: Iters: 28000/50000 || Lr: 0.009553 || Task Loss: 0.0877 || KD Loss: 0.0237|| 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, 0:25:11 || Estimated Time: 19:11:12
2023-07-12 16:14:51,463 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 16:14:51,652 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.739
2023-07-12 16:14:51,667 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.739
2023-07-12 16:14:51,685 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.742
2023-07-12 16:14:51,700 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-12 16:14:51,714 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-12 16:14:51,727 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-12 16:14:51,740 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-12 16:14:51,753 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.738
2023-07-12 16:14:51,766 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-12 16:14:51,779 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-12 16:14:51,792 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-12 16:14:51,805 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 16:14:51,818 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 16:14:51,831 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 16:14:51,845 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-12 16:14:51,858 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-12 16:14:51,875 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-12 16:14:51,891 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-12 16:14:51,908 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-12 16:14:51,928 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 16:14:51,942 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 16:14:51,958 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 16:14:51,972 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 16:14:51,985 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 16:14:51,998 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 16:14:52,011 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 16:14:52,024 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 16:14:52,038 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 16:14:52,051 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 16:14:52,064 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 16:14:52,077 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 16:14:52,094 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-12 16:14:52,114 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-12 16:14:52,133 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-12 16:14:52,147 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-12 16:14:52,164 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-12 16:14:52,178 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 16:14:52,191 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 16:14:52,203 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 16:14:52,216 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 16:14:52,229 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 16:14:52,242 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 16:14:52,255 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 16:14:52,268 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 16:14:52,282 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 16:14:52,297 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 16:14:52,310 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 16:14:52,326 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 16:14:52,345 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 16:14:52,359 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 16:14:52,378 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-12 16:14:52,393 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 16:14:52,407 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 16:14:52,420 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 16:14:52,435 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 16:14:52,448 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 16:14:52,462 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 16:14:52,476 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 16:14:52,489 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-12 16:14:52,502 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 16:14:52,516 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 16:14:52,537 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-12 16:14:52,551 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 16:14:52,571 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 16:14:52,584 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 16:14:52,597 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 16:14:52,610 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 16:14:52,624 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 16:14:52,639 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 16:14:52,652 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 16:14:52,665 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 16:14:52,678 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 16:14:52,697 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 16:14:52,713 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 16:14:52,729 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 16:14:52,747 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 16:14:52,766 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 16:14:52,782 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 16:14:52,797 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 16:14:52,811 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 16:14:52,825 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 16:14:52,839 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 16:14:52,852 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 16:14:52,866 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 16:14:52,879 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 16:14:52,892 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 16:14:52,905 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 16:14:52,921 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 16:14:52,938 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 16:14:52,955 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-12 16:14:52,974 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-12 16:14:52,988 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-12 16:14:53,001 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 16:14:53,014 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 16:14:53,027 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 16:14:53,040 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 16:14:53,053 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 16:14:53,066 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 16:14:53,080 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 16:14:53,093 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 16:14:53,110 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 16:15:25,859 semantic_segmentation INFO: Iters: 28010/50000 || Lr: 0.009549 || Task Loss: 0.0958 || KD Loss: 0.0288|| 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, 0:25:46 || Estimated Time: 19:10:43
2023-07-12 16:15:58,290 semantic_segmentation INFO: Iters: 28020/50000 || Lr: 0.009546 || Task Loss: 0.1122 || 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, 0:26:18 || Estimated Time: 19:10:13
2023-07-12 16:16:30,627 semantic_segmentation INFO: Iters: 28030/50000 || Lr: 0.009542 || Task Loss: 0.0809 || KD Loss: 0.0243|| 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, 0:26:50 || Estimated Time: 19:09:42
2023-07-12 16:17:03,031 semantic_segmentation INFO: Iters: 28040/50000 || Lr: 0.009538 || Task Loss: 0.0964 || KD Loss: 0.0288|| 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, 0:27:23 || Estimated Time: 19:09:11
2023-07-12 16:17:35,398 semantic_segmentation INFO: Iters: 28050/50000 || Lr: 0.009534 || Task Loss: 0.0993 || KD Loss: 0.0272|| 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, 0:27:55 || Estimated Time: 19:08:41
2023-07-12 16:18:07,831 semantic_segmentation INFO: Iters: 28060/50000 || Lr: 0.009530 || Task Loss: 0.1026 || KD Loss: 0.0313|| 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, 0:28:28 || Estimated Time: 19:08:10
2023-07-12 16:18:40,193 semantic_segmentation INFO: Iters: 28070/50000 || Lr: 0.009526 || Task Loss: 0.0847 || KD Loss: 0.0296|| 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, 0:29:00 || Estimated Time: 19:07:39
2023-07-12 16:19:12,620 semantic_segmentation INFO: Iters: 28080/50000 || Lr: 0.009522 || Task Loss: 0.0882 || KD Loss: 0.0259|| 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, 0:29:32 || Estimated Time: 19:07:09
2023-07-12 16:19:45,024 semantic_segmentation INFO: Iters: 28090/50000 || Lr: 0.009518 || Task Loss: 0.1012 || KD Loss: 0.0251|| 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, 0:30:05 || Estimated Time: 19:06:38
2023-07-12 16:20:17,385 semantic_segmentation INFO: Iters: 28100/50000 || Lr: 0.009514 || Task Loss: 0.0938 || KD Loss: 0.0259|| 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, 0:30:37 || Estimated Time: 19:06:07
2023-07-12 16:20:49,856 semantic_segmentation INFO: Iters: 28110/50000 || Lr: 0.009510 || Task Loss: 0.0852 || KD Loss: 0.0232|| 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, 0:31:10 || Estimated Time: 19:05:37
2023-07-12 16:21:22,281 semantic_segmentation INFO: Iters: 28120/50000 || Lr: 0.009506 || Task Loss: 0.1023 || KD Loss: 0.0227|| 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, 0:31:42 || Estimated Time: 19:05:06
2023-07-12 16:21:54,631 semantic_segmentation INFO: Iters: 28130/50000 || Lr: 0.009503 || Task Loss: 0.1040 || KD Loss: 0.0250|| 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, 0:32:14 || Estimated Time: 19:04:36
2023-07-12 16:22:27,035 semantic_segmentation INFO: Iters: 28140/50000 || Lr: 0.009499 || Task Loss: 0.1004 || KD Loss: 0.0239|| 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, 0:32:47 || Estimated Time: 19:04:05
2023-07-12 16:22:59,415 semantic_segmentation INFO: Iters: 28150/50000 || Lr: 0.009495 || Task Loss: 0.0944 || KD Loss: 0.0234|| 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, 0:33:19 || Estimated Time: 19:03:34
2023-07-12 16:23:31,718 semantic_segmentation INFO: Iters: 28160/50000 || Lr: 0.009491 || Task Loss: 0.0904 || KD Loss: 0.0269|| 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, 0:33:51 || Estimated Time: 19:03:04
2023-07-12 16:24:04,036 semantic_segmentation INFO: Iters: 28170/50000 || Lr: 0.009487 || Task Loss: 0.0869 || KD Loss: 0.0233|| 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, 0:34:24 || Estimated Time: 19:02:33
2023-07-12 16:24:36,405 semantic_segmentation INFO: Iters: 28180/50000 || Lr: 0.009483 || Task Loss: 0.0787 || KD Loss: 0.0234|| 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, 0:34:56 || Estimated Time: 19:02:02
2023-07-12 16:25:08,782 semantic_segmentation INFO: Iters: 28190/50000 || Lr: 0.009479 || Task Loss: 0.0790 || 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, 0:35:29 || Estimated Time: 19:01:32
2023-07-12 16:25:41,156 semantic_segmentation INFO: Iters: 28200/50000 || Lr: 0.009475 || Task Loss: 0.0821 || KD Loss: 0.0280|| 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, 0:36:01 || Estimated Time: 19:01:01
2023-07-12 16:26:13,591 semantic_segmentation INFO: Iters: 28210/50000 || Lr: 0.009471 || Task Loss: 0.0917 || KD Loss: 0.0231|| 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, 0:36:33 || Estimated Time: 19:00:30
2023-07-12 16:26:45,972 semantic_segmentation INFO: Iters: 28220/50000 || Lr: 0.009467 || Task Loss: 0.0926 || KD Loss: 0.0226|| 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, 0:37:06 || Estimated Time: 19:00:00
2023-07-12 16:27:18,376 semantic_segmentation INFO: Iters: 28230/50000 || Lr: 0.009463 || Task Loss: 0.0904 || KD Loss: 0.0237|| 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, 0:37:38 || Estimated Time: 18:59:29
2023-07-12 16:27:50,638 semantic_segmentation INFO: Iters: 28240/50000 || Lr: 0.009459 || Task Loss: 0.0869 || KD Loss: 0.0253|| 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, 0:38:10 || Estimated Time: 18:58:58
2023-07-12 16:28:22,973 semantic_segmentation INFO: Iters: 28250/50000 || Lr: 0.009456 || Task Loss: 0.0938 || KD Loss: 0.0254|| 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, 0:38:43 || Estimated Time: 18:58:28
2023-07-12 16:28:55,259 semantic_segmentation INFO: Iters: 28260/50000 || Lr: 0.009452 || Task Loss: 0.0993 || KD Loss: 0.0273|| 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, 0:39:15 || Estimated Time: 18:57:57
2023-07-12 16:29:27,489 semantic_segmentation INFO: Iters: 28270/50000 || Lr: 0.009448 || Task Loss: 0.0852 || KD Loss: 0.0248|| 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, 0:39:47 || Estimated Time: 18:57:26
2023-07-12 16:29:59,860 semantic_segmentation INFO: Iters: 28280/50000 || Lr: 0.009444 || Task Loss: 0.1006 || KD Loss: 0.0265|| 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, 0:40:20 || Estimated Time: 18:56:56
2023-07-12 16:30:32,580 semantic_segmentation INFO: Iters: 28290/50000 || Lr: 0.009440 || Task Loss: 0.0893 || KD Loss: 0.0270|| 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, 0:40:52 || Estimated Time: 18:56:25
2023-07-12 16:31:04,958 semantic_segmentation INFO: Iters: 28300/50000 || Lr: 0.009436 || Task Loss: 0.0902 || KD Loss: 0.0245|| 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, 0:41:25 || Estimated Time: 18:55:54
2023-07-12 16:31:37,287 semantic_segmentation INFO: Iters: 28310/50000 || Lr: 0.009432 || Task Loss: 0.0919 || KD Loss: 0.0253|| 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, 0:41:57 || Estimated Time: 18:55:24
2023-07-12 16:32:09,485 semantic_segmentation INFO: Iters: 28320/50000 || Lr: 0.009428 || Task Loss: 0.0965 || KD Loss: 0.0227|| 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, 0:42:29 || Estimated Time: 18:54:53
2023-07-12 16:32:41,807 semantic_segmentation INFO: Iters: 28330/50000 || Lr: 0.009424 || Task Loss: 0.0965 || KD Loss: 0.0233|| 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, 0:43:02 || Estimated Time: 18:54:22
2023-07-12 16:33:14,108 semantic_segmentation INFO: Iters: 28340/50000 || Lr: 0.009420 || Task Loss: 0.0880 || KD Loss: 0.0254|| 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, 0:43:34 || Estimated Time: 18:53:52
2023-07-12 16:33:46,362 semantic_segmentation INFO: Iters: 28350/50000 || Lr: 0.009416 || Task Loss: 0.1015 || 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, 0:44:06 || Estimated Time: 18:53:21
2023-07-12 16:34:18,683 semantic_segmentation INFO: Iters: 28360/50000 || Lr: 0.009413 || Task Loss: 0.0801 || KD Loss: 0.0267|| 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, 0:44:38 || Estimated Time: 18:52:50
2023-07-12 16:34:51,045 semantic_segmentation INFO: Iters: 28370/50000 || Lr: 0.009409 || Task Loss: 0.0923 || KD Loss: 0.0241|| 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, 0:45:11 || Estimated Time: 18:52:19
2023-07-12 16:35:23,371 semantic_segmentation INFO: Iters: 28380/50000 || Lr: 0.009405 || Task Loss: 0.0956 || KD Loss: 0.0243|| 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, 0:45:43 || Estimated Time: 18:51:49
2023-07-12 16:35:55,721 semantic_segmentation INFO: Iters: 28390/50000 || Lr: 0.009401 || Task Loss: 0.1078 || KD Loss: 0.0263|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0778|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:46:15 || Estimated Time: 18:51:18
2023-07-12 16:36:28,137 semantic_segmentation INFO: Iters: 28400/50000 || Lr: 0.009397 || Task Loss: 0.1155 || KD Loss: 0.0243|| 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, 0:46:48 || Estimated Time: 18:50:47
2023-07-12 16:37:00,506 semantic_segmentation INFO: Iters: 28410/50000 || Lr: 0.009393 || Task Loss: 0.0908 || KD Loss: 0.0260|| 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, 0:47:20 || Estimated Time: 18:50:17
2023-07-12 16:37:32,869 semantic_segmentation INFO: Iters: 28420/50000 || Lr: 0.009389 || Task Loss: 0.0999 || KD Loss: 0.0233|| 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, 0:47:53 || Estimated Time: 18:49:46
2023-07-12 16:38:05,397 semantic_segmentation INFO: Iters: 28430/50000 || Lr: 0.009385 || Task Loss: 0.1038 || KD Loss: 0.0288|| 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, 0:48:25 || Estimated Time: 18:49:15
2023-07-12 16:38:37,757 semantic_segmentation INFO: Iters: 28440/50000 || Lr: 0.009381 || Task Loss: 0.1025 || KD Loss: 0.0265|| 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, 0:48:58 || Estimated Time: 18:48:45
2023-07-12 16:39:10,181 semantic_segmentation INFO: Iters: 28450/50000 || Lr: 0.009377 || Task Loss: 0.0877 || KD Loss: 0.0227|| 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, 0:49:30 || Estimated Time: 18:48:14
2023-07-12 16:39:42,531 semantic_segmentation INFO: Iters: 28460/50000 || Lr: 0.009373 || Task Loss: 0.0823 || KD Loss: 0.0225|| 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, 0:50:02 || Estimated Time: 18:47:43
2023-07-12 16:40:14,769 semantic_segmentation INFO: Iters: 28470/50000 || Lr: 0.009369 || Task Loss: 0.0928 || 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: 1 day, 0:50:35 || Estimated Time: 18:47:13
2023-07-12 16:40:47,055 semantic_segmentation INFO: Iters: 28480/50000 || Lr: 0.009366 || Task Loss: 0.0942 || KD Loss: 0.0274|| 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, 0:51:07 || Estimated Time: 18:46:42
2023-07-12 16:41:19,391 semantic_segmentation INFO: Iters: 28490/50000 || Lr: 0.009362 || Task Loss: 0.1029 || KD Loss: 0.0237|| 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, 0:51:39 || Estimated Time: 18:46:11
2023-07-12 16:41:51,744 semantic_segmentation INFO: Iters: 28500/50000 || Lr: 0.009358 || Task Loss: 0.0924 || KD Loss: 0.0239|| 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, 0:52:12 || Estimated Time: 18:45:40
2023-07-12 16:42:24,105 semantic_segmentation INFO: Iters: 28510/50000 || Lr: 0.009354 || Task Loss: 0.1003 || KD Loss: 0.0274|| 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, 0:52:44 || Estimated Time: 18:45:10
2023-07-12 16:42:56,428 semantic_segmentation INFO: Iters: 28520/50000 || Lr: 0.009350 || Task Loss: 0.1116 || KD Loss: 0.0249|| 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, 0:53:16 || Estimated Time: 18:44:39
2023-07-12 16:43:28,791 semantic_segmentation INFO: Iters: 28530/50000 || Lr: 0.009346 || Task Loss: 0.1003 || KD Loss: 0.0263|| 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, 0:53:49 || Estimated Time: 18:44:08
2023-07-12 16:44:01,164 semantic_segmentation INFO: Iters: 28540/50000 || Lr: 0.009342 || Task Loss: 0.1177 || KD Loss: 0.0295|| 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, 0:54:21 || Estimated Time: 18:43:38
2023-07-12 16:44:33,546 semantic_segmentation INFO: Iters: 28550/50000 || Lr: 0.009338 || Task Loss: 0.1232 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0746|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 0:54:53 || Estimated Time: 18:43:07
2023-07-12 16:45:05,922 semantic_segmentation INFO: Iters: 28560/50000 || Lr: 0.009334 || Task Loss: 0.1009 || KD Loss: 0.0247|| 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, 0:55:26 || Estimated Time: 18:42:36
2023-07-12 16:45:38,222 semantic_segmentation INFO: Iters: 28570/50000 || Lr: 0.009330 || Task Loss: 0.0864 || KD Loss: 0.0236|| 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, 0:55:58 || Estimated Time: 18:42:05
2023-07-12 16:46:10,540 semantic_segmentation INFO: Iters: 28580/50000 || Lr: 0.009326 || Task Loss: 0.0789 || KD Loss: 0.0233|| 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, 0:56:30 || Estimated Time: 18:41:35
2023-07-12 16:46:42,804 semantic_segmentation INFO: Iters: 28590/50000 || Lr: 0.009322 || Task Loss: 0.0904 || KD Loss: 0.0292|| 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, 0:57:03 || Estimated Time: 18:41:04
2023-07-12 16:47:15,127 semantic_segmentation INFO: Iters: 28600/50000 || Lr: 0.009319 || Task Loss: 0.0896 || KD Loss: 0.0226|| 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: 1 day, 0:57:35 || Estimated Time: 18:40:33
2023-07-12 16:47:47,479 semantic_segmentation INFO: Iters: 28610/50000 || Lr: 0.009315 || Task Loss: 0.1150 || KD Loss: 0.0241|| 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, 0:58:07 || Estimated Time: 18:40:02
2023-07-12 16:48:19,815 semantic_segmentation INFO: Iters: 28620/50000 || Lr: 0.009311 || Task Loss: 0.0930 || KD Loss: 0.0276|| 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, 0:58:40 || Estimated Time: 18:39:32
2023-07-12 16:48:52,226 semantic_segmentation INFO: Iters: 28630/50000 || Lr: 0.009307 || Task Loss: 0.0968 || KD Loss: 0.0267|| 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, 0:59:12 || Estimated Time: 18:39:01
2023-07-12 16:49:24,573 semantic_segmentation INFO: Iters: 28640/50000 || Lr: 0.009303 || Task Loss: 0.1014 || KD Loss: 0.0263|| 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, 0:59:44 || Estimated Time: 18:38:30
2023-07-12 16:49:56,981 semantic_segmentation INFO: Iters: 28650/50000 || Lr: 0.009299 || Task Loss: 0.0940 || KD Loss: 0.0235|| 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, 1:00:17 || Estimated Time: 18:38:00
2023-07-12 16:50:29,293 semantic_segmentation INFO: Iters: 28660/50000 || Lr: 0.009295 || Task Loss: 0.0912 || KD Loss: 0.0254|| 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, 1:00:49 || Estimated Time: 18:37:29
2023-07-12 16:51:01,607 semantic_segmentation INFO: Iters: 28670/50000 || Lr: 0.009291 || Task Loss: 0.1087 || KD Loss: 0.0261|| 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, 1:01:21 || Estimated Time: 18:36:58
2023-07-12 16:51:33,962 semantic_segmentation INFO: Iters: 28680/50000 || Lr: 0.009287 || Task Loss: 0.0930 || KD Loss: 0.0244|| 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, 1:01:54 || Estimated Time: 18:36:27
2023-07-12 16:52:06,273 semantic_segmentation INFO: Iters: 28690/50000 || Lr: 0.009283 || Task Loss: 0.1318 || KD Loss: 0.0269|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0727|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:02:26 || Estimated Time: 18:35:57
2023-07-12 16:52:38,559 semantic_segmentation INFO: Iters: 28700/50000 || Lr: 0.009279 || Task Loss: 0.0900 || KD Loss: 0.0209|| 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, 1:02:58 || Estimated Time: 18:35:26
2023-07-12 16:53:10,861 semantic_segmentation INFO: Iters: 28710/50000 || Lr: 0.009275 || Task Loss: 0.1000 || KD Loss: 0.0261|| 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, 1:03:31 || Estimated Time: 18:34:55
2023-07-12 16:53:43,242 semantic_segmentation INFO: Iters: 28720/50000 || Lr: 0.009271 || Task Loss: 0.0959 || KD Loss: 0.0235|| 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, 1:04:03 || Estimated Time: 18:34:24
2023-07-12 16:54:15,591 semantic_segmentation INFO: Iters: 28730/50000 || Lr: 0.009268 || Task Loss: 0.1159 || KD Loss: 0.0318|| 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, 1:04:35 || Estimated Time: 18:33:54
2023-07-12 16:54:47,991 semantic_segmentation INFO: Iters: 28740/50000 || Lr: 0.009264 || Task Loss: 0.0998 || KD Loss: 0.0240|| 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, 1:05:08 || Estimated Time: 18:33:23
2023-07-12 16:55:20,514 semantic_segmentation INFO: Iters: 28750/50000 || Lr: 0.009260 || Task Loss: 0.0865 || KD Loss: 0.0271|| 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, 1:05:40 || Estimated Time: 18:32:52
2023-07-12 16:55:53,025 semantic_segmentation INFO: Iters: 28760/50000 || Lr: 0.009256 || Task Loss: 0.1056 || KD Loss: 0.0236|| 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, 1:06:13 || Estimated Time: 18:32:22
2023-07-12 16:56:25,366 semantic_segmentation INFO: Iters: 28770/50000 || Lr: 0.009252 || Task Loss: 0.0898 || 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, 1:06:45 || Estimated Time: 18:31:51
2023-07-12 16:56:57,611 semantic_segmentation INFO: Iters: 28780/50000 || Lr: 0.009248 || Task Loss: 0.0873 || KD Loss: 0.0280|| 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, 1:07:17 || Estimated Time: 18:31:20
2023-07-12 16:57:29,900 semantic_segmentation INFO: Iters: 28790/50000 || Lr: 0.009244 || Task Loss: 0.1009 || KD Loss: 0.0274|| 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, 1:07:50 || Estimated Time: 18:30:49
2023-07-12 16:58:02,114 semantic_segmentation INFO: Iters: 28800/50000 || Lr: 0.009240 || Task Loss: 0.1052 || KD Loss: 0.0248|| 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, 1:08:22 || Estimated Time: 18:30:19
2023-07-12 16:58:02,349 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 16:58:02,539 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.737
2023-07-12 16:58:02,566 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-12 16:58:02,580 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-12 16:58:02,594 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 16:58:02,609 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 16:58:02,621 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.731
2023-07-12 16:58:02,633 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.731
2023-07-12 16:58:02,647 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 16:58:02,659 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 16:58:02,671 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 16:58:02,684 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 16:58:02,696 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 16:58:02,709 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 16:58:02,722 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 16:58:02,735 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-12 16:58:02,748 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 16:58:02,760 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 16:58:02,773 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-12 16:58:02,788 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 16:58:02,804 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 16:58:02,823 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.736
2023-07-12 16:58:02,836 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 16:58:02,854 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.734
2023-07-12 16:58:02,868 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 16:58:02,880 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.733
2023-07-12 16:58:02,893 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 16:58:02,906 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.735
2023-07-12 16:58:02,919 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.734
2023-07-12 16:58:02,932 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 16:58:02,945 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-12 16:58:02,958 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.737
2023-07-12 16:58:02,972 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 16:58:02,990 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 16:58:03,004 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 16:58:03,023 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 16:58:03,039 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 16:58:03,054 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.737
2023-07-12 16:58:03,067 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 16:58:03,086 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.737
2023-07-12 16:58:03,100 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.738
2023-07-12 16:58:03,114 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 16:58:03,127 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 16:58:03,141 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 16:58:03,154 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 16:58:03,168 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 16:58:03,181 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 16:58:03,195 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 16:58:03,209 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 16:58:03,226 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 16:58:03,240 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 16:58:03,260 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 16:58:03,280 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 16:58:03,298 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 16:58:03,311 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 16:58:03,324 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 16:58:03,337 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 16:58:03,350 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 16:58:03,363 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 16:58:03,376 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 16:58:03,389 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 16:58:03,401 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 16:58:03,414 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 16:58:03,429 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 16:58:03,442 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 16:58:03,461 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 16:58:03,477 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 16:58:03,491 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.758
2023-07-12 16:58:03,503 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-12 16:58:03,517 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 16:58:03,531 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 16:58:03,551 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 16:58:03,566 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 16:58:03,580 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 16:58:03,593 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 16:58:03,607 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 16:58:03,621 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 16:58:03,638 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 16:58:03,653 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 16:58:03,674 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 16:58:03,689 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 16:58:03,711 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 16:58:03,724 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 16:58:03,736 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 16:58:03,749 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 16:58:03,762 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 16:58:03,774 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 16:58:03,787 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 16:58:03,799 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 16:58:03,812 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 16:58:03,824 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 16:58:03,839 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 16:58:03,852 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 16:58:03,870 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 16:58:03,883 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 16:58:03,900 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.757
2023-07-12 16:58:03,918 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 16:58:03,931 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 16:58:03,944 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 16:58:03,957 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 16:58:03,971 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 16:58:03,984 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.757
2023-07-12 16:58:36,329 semantic_segmentation INFO: Iters: 28810/50000 || Lr: 0.009236 || Task Loss: 0.0987 || KD Loss: 0.0258|| 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, 1:08:56 || Estimated Time: 18:29:49
2023-07-12 16:59:08,667 semantic_segmentation INFO: Iters: 28820/50000 || Lr: 0.009232 || Task Loss: 0.0988 || KD Loss: 0.0223|| 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, 1:09:28 || Estimated Time: 18:29:18
2023-07-12 16:59:41,027 semantic_segmentation INFO: Iters: 28830/50000 || Lr: 0.009228 || Task Loss: 0.0959 || KD Loss: 0.0258|| 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, 1:10:01 || Estimated Time: 18:28:48
2023-07-12 17:00:13,329 semantic_segmentation INFO: Iters: 28840/50000 || Lr: 0.009224 || Task Loss: 0.0993 || KD Loss: 0.0240|| 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, 1:10:33 || Estimated Time: 18:28:17
2023-07-12 17:00:45,729 semantic_segmentation INFO: Iters: 28850/50000 || Lr: 0.009221 || Task Loss: 0.1015 || KD Loss: 0.0229|| 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, 1:11:05 || Estimated Time: 18:27:46
2023-07-12 17:01:18,193 semantic_segmentation INFO: Iters: 28860/50000 || Lr: 0.009217 || Task Loss: 0.1014 || KD Loss: 0.0329|| 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, 1:11:38 || Estimated Time: 18:27:15
2023-07-12 17:01:50,599 semantic_segmentation INFO: Iters: 28870/50000 || Lr: 0.009213 || Task Loss: 0.0820 || KD Loss: 0.0208|| 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, 1:12:10 || Estimated Time: 18:26:45
2023-07-12 17:02:22,830 semantic_segmentation INFO: Iters: 28880/50000 || Lr: 0.009209 || Task Loss: 0.0940 || 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, 1:12:43 || Estimated Time: 18:26:14
2023-07-12 17:02:55,228 semantic_segmentation INFO: Iters: 28890/50000 || Lr: 0.009205 || Task Loss: 0.1034 || KD Loss: 0.0241|| 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, 1:13:15 || Estimated Time: 18:25:43
2023-07-12 17:03:27,547 semantic_segmentation INFO: Iters: 28900/50000 || Lr: 0.009201 || Task Loss: 0.0883 || KD Loss: 0.0236|| 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, 1:13:47 || Estimated Time: 18:25:12
2023-07-12 17:03:59,894 semantic_segmentation INFO: Iters: 28910/50000 || Lr: 0.009197 || Task Loss: 0.1131 || KD Loss: 0.0314|| 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, 1:14:20 || Estimated Time: 18:24:42
2023-07-12 17:04:32,223 semantic_segmentation INFO: Iters: 28920/50000 || Lr: 0.009193 || Task Loss: 0.1116 || KD Loss: 0.0260|| 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, 1:14:52 || Estimated Time: 18:24:11
2023-07-12 17:05:04,588 semantic_segmentation INFO: Iters: 28930/50000 || Lr: 0.009189 || Task Loss: 0.0935 || KD Loss: 0.0275|| 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, 1:15:24 || Estimated Time: 18:23:40
2023-07-12 17:05:36,922 semantic_segmentation INFO: Iters: 28940/50000 || Lr: 0.009185 || Task Loss: 0.0998 || KD Loss: 0.0262|| 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, 1:15:57 || Estimated Time: 18:23:09
2023-07-12 17:06:09,308 semantic_segmentation INFO: Iters: 28950/50000 || Lr: 0.009181 || Task Loss: 0.1027 || KD Loss: 0.0262|| 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, 1:16:29 || Estimated Time: 18:22:39
2023-07-12 17:06:41,655 semantic_segmentation INFO: Iters: 28960/50000 || Lr: 0.009177 || Task Loss: 0.0897 || KD Loss: 0.0267|| 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, 1:17:01 || Estimated Time: 18:22:08
2023-07-12 17:07:13,986 semantic_segmentation INFO: Iters: 28970/50000 || Lr: 0.009173 || Task Loss: 0.0944 || KD Loss: 0.0243|| 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, 1:17:34 || Estimated Time: 18:21:37
2023-07-12 17:07:46,286 semantic_segmentation INFO: Iters: 28980/50000 || Lr: 0.009169 || Task Loss: 0.0864 || KD Loss: 0.0251|| 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, 1:18:06 || Estimated Time: 18:21:06
2023-07-12 17:08:18,566 semantic_segmentation INFO: Iters: 28990/50000 || Lr: 0.009166 || Task Loss: 0.0857 || 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, 1:18:38 || Estimated Time: 18:20:36
2023-07-12 17:08:50,808 semantic_segmentation INFO: Iters: 29000/50000 || Lr: 0.009162 || Task Loss: 0.0874 || KD Loss: 0.0279|| 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, 1:19:11 || Estimated Time: 18:20:05
2023-07-12 17:09:23,083 semantic_segmentation INFO: Iters: 29010/50000 || Lr: 0.009158 || Task Loss: 0.0877 || KD Loss: 0.0289|| 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, 1:19:43 || Estimated Time: 18:19:34
2023-07-12 17:09:55,422 semantic_segmentation INFO: Iters: 29020/50000 || Lr: 0.009154 || Task Loss: 0.1002 || KD Loss: 0.0235|| 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, 1:20:15 || Estimated Time: 18:19:03
2023-07-12 17:10:27,696 semantic_segmentation INFO: Iters: 29030/50000 || Lr: 0.009150 || Task Loss: 0.0930 || KD Loss: 0.0262|| 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, 1:20:47 || Estimated Time: 18:18:32
2023-07-12 17:10:59,879 semantic_segmentation INFO: Iters: 29040/50000 || Lr: 0.009146 || Task Loss: 0.0882 || KD Loss: 0.0246|| 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, 1:21:20 || Estimated Time: 18:18:01
2023-07-12 17:11:32,238 semantic_segmentation INFO: Iters: 29050/50000 || Lr: 0.009142 || Task Loss: 0.0931 || KD Loss: 0.0297|| 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, 1:21:52 || Estimated Time: 18:17:31
2023-07-12 17:12:04,586 semantic_segmentation INFO: Iters: 29060/50000 || Lr: 0.009138 || Task Loss: 0.0922 || KD Loss: 0.0230|| 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, 1:22:24 || Estimated Time: 18:17:00
2023-07-12 17:12:36,943 semantic_segmentation INFO: Iters: 29070/50000 || Lr: 0.009134 || Task Loss: 0.0938 || KD Loss: 0.0235|| 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, 1:22:57 || Estimated Time: 18:16:29
2023-07-12 17:13:09,321 semantic_segmentation INFO: Iters: 29080/50000 || Lr: 0.009130 || Task Loss: 0.1074 || 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, 1:23:29 || Estimated Time: 18:15:58
2023-07-12 17:13:41,690 semantic_segmentation INFO: Iters: 29090/50000 || Lr: 0.009126 || Task Loss: 0.1005 || KD Loss: 0.0238|| 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, 1:24:01 || Estimated Time: 18:15:28
2023-07-12 17:14:14,054 semantic_segmentation INFO: Iters: 29100/50000 || Lr: 0.009122 || Task Loss: 0.1141 || KD Loss: 0.0269|| 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, 1:24:34 || Estimated Time: 18:14:57
2023-07-12 17:14:46,398 semantic_segmentation INFO: Iters: 29110/50000 || Lr: 0.009118 || Task Loss: 0.1045 || KD Loss: 0.0266|| 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, 1:25:06 || Estimated Time: 18:14:26
2023-07-12 17:15:18,779 semantic_segmentation INFO: Iters: 29120/50000 || Lr: 0.009115 || Task Loss: 0.1050 || KD Loss: 0.0270|| 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, 1:25:39 || Estimated Time: 18:13:55
2023-07-12 17:15:51,014 semantic_segmentation INFO: Iters: 29130/50000 || Lr: 0.009111 || Task Loss: 0.0966 || KD Loss: 0.0286|| 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, 1:26:11 || Estimated Time: 18:13:24
2023-07-12 17:16:23,330 semantic_segmentation INFO: Iters: 29140/50000 || Lr: 0.009107 || Task Loss: 0.1008 || KD Loss: 0.0281|| 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, 1:26:43 || Estimated Time: 18:12:54
2023-07-12 17:16:55,649 semantic_segmentation INFO: Iters: 29150/50000 || Lr: 0.009103 || Task Loss: 0.0870 || KD Loss: 0.0257|| 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, 1:27:15 || Estimated Time: 18:12:23
2023-07-12 17:17:28,007 semantic_segmentation INFO: Iters: 29160/50000 || Lr: 0.009099 || Task Loss: 0.0988 || KD Loss: 0.0252|| 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, 1:27:48 || Estimated Time: 18:11:52
2023-07-12 17:18:00,341 semantic_segmentation INFO: Iters: 29170/50000 || Lr: 0.009095 || Task Loss: 0.0976 || KD Loss: 0.0236|| 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, 1:28:20 || Estimated Time: 18:11:21
2023-07-12 17:18:32,670 semantic_segmentation INFO: Iters: 29180/50000 || Lr: 0.009091 || Task Loss: 0.0891 || KD Loss: 0.0266|| 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, 1:28:52 || Estimated Time: 18:10:50
2023-07-12 17:19:05,043 semantic_segmentation INFO: Iters: 29190/50000 || Lr: 0.009087 || Task Loss: 0.1014 || KD Loss: 0.0270|| 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, 1:29:25 || Estimated Time: 18:10:20
2023-07-12 17:19:37,354 semantic_segmentation INFO: Iters: 29200/50000 || Lr: 0.009083 || Task Loss: 0.1017 || KD Loss: 0.0273|| 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, 1:29:57 || Estimated Time: 18:09:49
2023-07-12 17:20:09,598 semantic_segmentation INFO: Iters: 29210/50000 || Lr: 0.009079 || Task Loss: 0.0936 || KD Loss: 0.0247|| 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, 1:30:29 || Estimated Time: 18:09:18
2023-07-12 17:20:41,776 semantic_segmentation INFO: Iters: 29220/50000 || Lr: 0.009075 || Task Loss: 0.0918 || 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, 1:31:02 || Estimated Time: 18:08:47
2023-07-12 17:21:14,077 semantic_segmentation INFO: Iters: 29230/50000 || Lr: 0.009071 || Task Loss: 0.1002 || KD Loss: 0.0226|| 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, 1:31:34 || Estimated Time: 18:08:16
2023-07-12 17:21:46,227 semantic_segmentation INFO: Iters: 29240/50000 || Lr: 0.009067 || Task Loss: 0.0920 || KD Loss: 0.0248|| 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, 1:32:06 || Estimated Time: 18:07:45
2023-07-12 17:22:18,515 semantic_segmentation INFO: Iters: 29250/50000 || Lr: 0.009063 || Task Loss: 0.0950 || KD Loss: 0.0253|| 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, 1:32:38 || Estimated Time: 18:07:14
2023-07-12 17:22:50,749 semantic_segmentation INFO: Iters: 29260/50000 || Lr: 0.009059 || Task Loss: 0.0833 || KD Loss: 0.0231|| 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, 1:33:11 || Estimated Time: 18:06:44
2023-07-12 17:23:23,041 semantic_segmentation INFO: Iters: 29270/50000 || Lr: 0.009056 || Task Loss: 0.1072 || KD Loss: 0.0292|| 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, 1:33:43 || Estimated Time: 18:06:13
2023-07-12 17:23:55,262 semantic_segmentation INFO: Iters: 29280/50000 || Lr: 0.009052 || Task Loss: 0.0950 || KD Loss: 0.0251|| 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, 1:34:15 || Estimated Time: 18:05:42
2023-07-12 17:24:27,503 semantic_segmentation INFO: Iters: 29290/50000 || Lr: 0.009048 || Task Loss: 0.0826 || KD Loss: 0.0245|| 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, 1:34:47 || Estimated Time: 18:05:11
2023-07-12 17:24:59,824 semantic_segmentation INFO: Iters: 29300/50000 || Lr: 0.009044 || Task Loss: 0.0991 || KD Loss: 0.0230|| 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, 1:35:20 || Estimated Time: 18:04:40
2023-07-12 17:25:32,154 semantic_segmentation INFO: Iters: 29310/50000 || Lr: 0.009040 || Task Loss: 0.1052 || KD Loss: 0.0231|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0792|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:35:52 || Estimated Time: 18:04:09
2023-07-12 17:26:04,441 semantic_segmentation INFO: Iters: 29320/50000 || Lr: 0.009036 || Task Loss: 0.1065 || KD Loss: 0.0259|| 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, 1:36:24 || Estimated Time: 18:03:39
2023-07-12 17:26:36,668 semantic_segmentation INFO: Iters: 29330/50000 || Lr: 0.009032 || Task Loss: 0.0869 || KD Loss: 0.0224|| 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, 1:36:56 || Estimated Time: 18:03:08
2023-07-12 17:27:08,888 semantic_segmentation INFO: Iters: 29340/50000 || Lr: 0.009028 || Task Loss: 0.1012 || KD Loss: 0.0251|| 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, 1:37:29 || Estimated Time: 18:02:37
2023-07-12 17:27:41,142 semantic_segmentation INFO: Iters: 29350/50000 || Lr: 0.009024 || Task Loss: 0.0923 || KD Loss: 0.0284|| 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, 1:38:01 || Estimated Time: 18:02:06
2023-07-12 17:28:13,358 semantic_segmentation INFO: Iters: 29360/50000 || Lr: 0.009020 || Task Loss: 0.0898 || KD Loss: 0.0259|| 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, 1:38:33 || Estimated Time: 18:01:35
2023-07-12 17:28:45,583 semantic_segmentation INFO: Iters: 29370/50000 || Lr: 0.009016 || Task Loss: 0.1211 || KD Loss: 0.0274|| 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, 1:39:05 || Estimated Time: 18:01:04
2023-07-12 17:29:17,853 semantic_segmentation INFO: Iters: 29380/50000 || Lr: 0.009012 || Task Loss: 0.1055 || 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, 1:39:38 || Estimated Time: 18:00:33
2023-07-12 17:29:50,114 semantic_segmentation INFO: Iters: 29390/50000 || Lr: 0.009008 || Task Loss: 0.0844 || KD Loss: 0.0238|| 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, 1:40:10 || Estimated Time: 18:00:02
2023-07-12 17:30:22,359 semantic_segmentation INFO: Iters: 29400/50000 || Lr: 0.009004 || Task Loss: 0.0862 || KD Loss: 0.0252|| 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, 1:40:42 || Estimated Time: 17:59:31
2023-07-12 17:30:54,694 semantic_segmentation INFO: Iters: 29410/50000 || Lr: 0.009001 || Task Loss: 0.0868 || KD Loss: 0.0213|| 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, 1:41:14 || Estimated Time: 17:59:01
2023-07-12 17:31:26,901 semantic_segmentation INFO: Iters: 29420/50000 || Lr: 0.008997 || Task Loss: 0.1329 || KD Loss: 0.0273|| 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, 1:41:47 || Estimated Time: 17:58:30
2023-07-12 17:31:59,144 semantic_segmentation INFO: Iters: 29430/50000 || Lr: 0.008993 || Task Loss: 0.1094 || KD Loss: 0.0278|| 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, 1:42:19 || Estimated Time: 17:57:59
2023-07-12 17:32:31,341 semantic_segmentation INFO: Iters: 29440/50000 || Lr: 0.008989 || Task Loss: 0.1061 || KD Loss: 0.0224|| 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, 1:42:51 || Estimated Time: 17:57:28
2023-07-12 17:33:03,555 semantic_segmentation INFO: Iters: 29450/50000 || Lr: 0.008985 || Task Loss: 0.1056 || KD Loss: 0.0286|| 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, 1:43:23 || Estimated Time: 17:56:57
2023-07-12 17:33:35,735 semantic_segmentation INFO: Iters: 29460/50000 || Lr: 0.008981 || Task Loss: 0.0815 || KD Loss: 0.0257|| 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, 1:43:55 || Estimated Time: 17:56:26
2023-07-12 17:34:07,990 semantic_segmentation INFO: Iters: 29470/50000 || Lr: 0.008977 || Task Loss: 0.1039 || KD Loss: 0.0259|| 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, 1:44:28 || Estimated Time: 17:55:55
2023-07-12 17:34:40,214 semantic_segmentation INFO: Iters: 29480/50000 || Lr: 0.008973 || Task Loss: 0.1004 || KD Loss: 0.0248|| 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, 1:45:00 || Estimated Time: 17:55:24
2023-07-12 17:35:12,511 semantic_segmentation INFO: Iters: 29490/50000 || Lr: 0.008969 || Task Loss: 0.1043 || KD Loss: 0.0256|| 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, 1:45:32 || Estimated Time: 17:54:53
2023-07-12 17:35:44,715 semantic_segmentation INFO: Iters: 29500/50000 || Lr: 0.008965 || Task Loss: 0.0866 || KD Loss: 0.0270|| 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, 1:46:04 || Estimated Time: 17:54:23
2023-07-12 17:36:16,915 semantic_segmentation INFO: Iters: 29510/50000 || Lr: 0.008961 || Task Loss: 0.0914 || KD Loss: 0.0228|| 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, 1:46:37 || Estimated Time: 17:53:52
2023-07-12 17:36:49,186 semantic_segmentation INFO: Iters: 29520/50000 || Lr: 0.008957 || Task Loss: 0.1038 || KD Loss: 0.0235|| 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, 1:47:09 || Estimated Time: 17:53:21
2023-07-12 17:37:21,395 semantic_segmentation INFO: Iters: 29530/50000 || Lr: 0.008953 || Task Loss: 0.1117 || KD Loss: 0.0243|| 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, 1:47:41 || Estimated Time: 17:52:50
2023-07-12 17:37:53,691 semantic_segmentation INFO: Iters: 29540/50000 || Lr: 0.008949 || Task Loss: 0.0823 || KD Loss: 0.0221|| 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, 1:48:13 || Estimated Time: 17:52:19
2023-07-12 17:38:25,913 semantic_segmentation INFO: Iters: 29550/50000 || Lr: 0.008945 || Task Loss: 0.1026 || KD Loss: 0.0262|| 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, 1:48:46 || Estimated Time: 17:51:48
2023-07-12 17:38:58,192 semantic_segmentation INFO: Iters: 29560/50000 || Lr: 0.008941 || Task Loss: 0.1013 || KD Loss: 0.0227|| 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, 1:49:18 || Estimated Time: 17:51:17
2023-07-12 17:39:30,285 semantic_segmentation INFO: Iters: 29570/50000 || Lr: 0.008938 || Task Loss: 0.0829 || KD Loss: 0.0236|| 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, 1:49:50 || Estimated Time: 17:50:46
2023-07-12 17:40:02,407 semantic_segmentation INFO: Iters: 29580/50000 || Lr: 0.008934 || Task Loss: 0.0929 || KD Loss: 0.0219|| 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, 1:50:22 || Estimated Time: 17:50:15
2023-07-12 17:40:34,583 semantic_segmentation INFO: Iters: 29590/50000 || Lr: 0.008930 || Task Loss: 0.1054 || KD Loss: 0.0213|| 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, 1:50:54 || Estimated Time: 17:49:44
2023-07-12 17:41:06,766 semantic_segmentation INFO: Iters: 29600/50000 || Lr: 0.008926 || Task Loss: 0.1008 || KD Loss: 0.0278|| 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, 1:51:27 || Estimated Time: 17:49:13
2023-07-12 17:41:06,878 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 17:41:07,079 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-12 17:41:07,094 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.741
2023-07-12 17:41:07,108 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-12 17:41:07,122 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-12 17:41:07,137 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-12 17:41:07,151 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-12 17:41:07,165 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-12 17:41:07,177 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-12 17:41:07,189 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 17:41:07,202 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 17:41:07,214 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-12 17:41:07,226 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.735
2023-07-12 17:41:07,240 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-12 17:41:07,253 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-12 17:41:07,265 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.962, mIoU: 0.743
2023-07-12 17:41:07,278 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.962, mIoU: 0.746
2023-07-12 17:41:07,294 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.747
2023-07-12 17:41:07,310 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.748
2023-07-12 17:41:07,328 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-12 17:41:07,345 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-12 17:41:07,363 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-12 17:41:07,377 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 17:41:07,391 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 17:41:07,404 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 17:41:07,417 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 17:41:07,429 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 17:41:07,442 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 17:41:07,455 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 17:41:07,468 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 17:41:07,481 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 17:41:07,494 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 17:41:07,507 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 17:41:07,520 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 17:41:07,538 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 17:41:07,552 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 17:41:07,570 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 17:41:07,584 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 17:41:07,600 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 17:41:07,613 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 17:41:07,626 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 17:41:07,639 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 17:41:07,652 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 17:41:07,665 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-12 17:41:07,677 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-12 17:41:07,691 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 17:41:07,703 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 17:41:07,716 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 17:41:07,739 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 17:41:07,752 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 17:41:07,770 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 17:41:07,783 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 17:41:07,799 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 17:41:07,818 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-12 17:41:07,831 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 17:41:07,843 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 17:41:07,856 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 17:41:07,869 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-12 17:41:07,883 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 17:41:07,896 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 17:41:07,910 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 17:41:07,924 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 17:41:07,937 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 17:41:07,951 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 17:41:07,968 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 17:41:07,987 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 17:41:08,006 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 17:41:08,020 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 17:41:08,037 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 17:41:08,051 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 17:41:08,064 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-12 17:41:08,077 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 17:41:08,090 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 17:41:08,103 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 17:41:08,117 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 17:41:08,130 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 17:41:08,143 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 17:41:08,161 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 17:41:08,180 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 17:41:08,193 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 17:41:08,210 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 17:41:08,224 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 17:41:08,242 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 17:41:08,256 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 17:41:08,269 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 17:41:08,283 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 17:41:08,296 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 17:41:08,308 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 17:41:08,321 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 17:41:08,333 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 17:41:08,346 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 17:41:08,358 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.758
2023-07-12 17:41:08,374 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 17:41:08,391 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.758
2023-07-12 17:41:08,407 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 17:41:08,421 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 17:41:08,439 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-12 17:41:08,453 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 17:41:08,466 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 17:41:08,478 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 17:41:08,491 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 17:41:08,505 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.759
2023-07-12 17:41:41,001 semantic_segmentation INFO: Iters: 29610/50000 || Lr: 0.008922 || Task Loss: 0.0992 || KD Loss: 0.0259|| 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, 1:52:01 || Estimated Time: 17:48:44
2023-07-12 17:42:13,219 semantic_segmentation INFO: Iters: 29620/50000 || Lr: 0.008918 || Task Loss: 0.1057 || KD Loss: 0.0311|| 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, 1:52:33 || Estimated Time: 17:48:13
2023-07-12 17:42:45,542 semantic_segmentation INFO: Iters: 29630/50000 || Lr: 0.008914 || Task Loss: 0.0966 || KD Loss: 0.0266|| 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, 1:53:05 || Estimated Time: 17:47:42
2023-07-12 17:43:17,834 semantic_segmentation INFO: Iters: 29640/50000 || Lr: 0.008910 || Task Loss: 0.0999 || KD Loss: 0.0254|| 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, 1:53:38 || Estimated Time: 17:47:11
2023-07-12 17:43:50,181 semantic_segmentation INFO: Iters: 29650/50000 || Lr: 0.008906 || Task Loss: 0.0948 || KD Loss: 0.0232|| 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, 1:54:10 || Estimated Time: 17:46:40
2023-07-12 17:44:22,511 semantic_segmentation INFO: Iters: 29660/50000 || Lr: 0.008902 || Task Loss: 0.1012 || KD Loss: 0.0263|| 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, 1:54:42 || Estimated Time: 17:46:09
2023-07-12 17:44:54,862 semantic_segmentation INFO: Iters: 29670/50000 || Lr: 0.008898 || Task Loss: 0.1184 || KD Loss: 0.0245|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0709|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 1:55:15 || Estimated Time: 17:45:39
2023-07-12 17:45:27,124 semantic_segmentation INFO: Iters: 29680/50000 || Lr: 0.008894 || Task Loss: 0.0953 || 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, 1:55:47 || Estimated Time: 17:45:08
2023-07-12 17:45:59,410 semantic_segmentation INFO: Iters: 29690/50000 || Lr: 0.008890 || Task Loss: 0.0878 || KD Loss: 0.0229|| 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, 1:56:19 || Estimated Time: 17:44:37
2023-07-12 17:46:31,600 semantic_segmentation INFO: Iters: 29700/50000 || Lr: 0.008886 || Task Loss: 0.0925 || KD Loss: 0.0265|| 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, 1:56:51 || Estimated Time: 17:44:06
2023-07-12 17:47:03,910 semantic_segmentation INFO: Iters: 29710/50000 || Lr: 0.008882 || Task Loss: 0.0965 || KD Loss: 0.0246|| 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, 1:57:24 || Estimated Time: 17:43:35
2023-07-12 17:47:36,179 semantic_segmentation INFO: Iters: 29720/50000 || Lr: 0.008878 || Task Loss: 0.0872 || KD Loss: 0.0240|| 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, 1:57:56 || Estimated Time: 17:43:04
2023-07-12 17:48:08,495 semantic_segmentation INFO: Iters: 29730/50000 || Lr: 0.008875 || Task Loss: 0.1004 || KD Loss: 0.0258|| 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, 1:58:28 || Estimated Time: 17:42:33
2023-07-12 17:48:40,847 semantic_segmentation INFO: Iters: 29740/50000 || Lr: 0.008871 || Task Loss: 0.0883 || KD Loss: 0.0272|| 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, 1:59:01 || Estimated Time: 17:42:02
2023-07-12 17:49:13,054 semantic_segmentation INFO: Iters: 29750/50000 || Lr: 0.008867 || Task Loss: 0.0972 || KD Loss: 0.0243|| 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, 1:59:33 || Estimated Time: 17:41:32
2023-07-12 17:49:45,414 semantic_segmentation INFO: Iters: 29760/50000 || Lr: 0.008863 || Task Loss: 0.0929 || KD Loss: 0.0237|| 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, 2:00:05 || Estimated Time: 17:41:01
2023-07-12 17:50:17,720 semantic_segmentation INFO: Iters: 29770/50000 || Lr: 0.008859 || Task Loss: 0.0890 || KD Loss: 0.0224|| 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, 2:00:37 || Estimated Time: 17:40:30
2023-07-12 17:50:50,033 semantic_segmentation INFO: Iters: 29780/50000 || Lr: 0.008855 || Task Loss: 0.0872 || KD Loss: 0.0231|| 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, 2:01:10 || Estimated Time: 17:39:59
2023-07-12 17:51:22,294 semantic_segmentation INFO: Iters: 29790/50000 || Lr: 0.008851 || Task Loss: 0.0957 || 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, 2:01:42 || Estimated Time: 17:39:28
2023-07-12 17:51:54,585 semantic_segmentation INFO: Iters: 29800/50000 || Lr: 0.008847 || Task Loss: 0.0924 || 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, 2:02:14 || Estimated Time: 17:38:57
2023-07-12 17:52:26,762 semantic_segmentation INFO: Iters: 29810/50000 || Lr: 0.008843 || Task Loss: 0.0989 || KD Loss: 0.0219|| 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, 2:02:47 || Estimated Time: 17:38:26
2023-07-12 17:52:58,964 semantic_segmentation INFO: Iters: 29820/50000 || Lr: 0.008839 || Task Loss: 0.0946 || KD Loss: 0.0241|| 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, 2:03:19 || Estimated Time: 17:37:55
2023-07-12 17:53:31,261 semantic_segmentation INFO: Iters: 29830/50000 || Lr: 0.008835 || Task Loss: 0.0979 || KD Loss: 0.0252|| 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, 2:03:51 || Estimated Time: 17:37:24
2023-07-12 17:54:03,480 semantic_segmentation INFO: Iters: 29840/50000 || Lr: 0.008831 || Task Loss: 0.1017 || KD Loss: 0.0251|| 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, 2:04:23 || Estimated Time: 17:36:53
2023-07-12 17:54:35,722 semantic_segmentation INFO: Iters: 29850/50000 || Lr: 0.008827 || Task Loss: 0.0802 || KD Loss: 0.0210|| 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, 2:04:55 || Estimated Time: 17:36:22
2023-07-12 17:55:07,956 semantic_segmentation INFO: Iters: 29860/50000 || Lr: 0.008823 || Task Loss: 0.0913 || KD Loss: 0.0252|| 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, 2:05:28 || Estimated Time: 17:35:52
2023-07-12 17:55:40,294 semantic_segmentation INFO: Iters: 29870/50000 || Lr: 0.008819 || Task Loss: 0.1085 || KD Loss: 0.0357|| 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, 2:06:00 || Estimated Time: 17:35:21
2023-07-12 17:56:12,598 semantic_segmentation INFO: Iters: 29880/50000 || Lr: 0.008815 || Task Loss: 0.0932 || KD Loss: 0.0220|| 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, 2:06:32 || Estimated Time: 17:34:50
2023-07-12 17:56:44,850 semantic_segmentation INFO: Iters: 29890/50000 || Lr: 0.008811 || Task Loss: 0.0927 || KD Loss: 0.0245|| 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, 2:07:05 || Estimated Time: 17:34:19
2023-07-12 17:57:17,151 semantic_segmentation INFO: Iters: 29900/50000 || Lr: 0.008808 || Task Loss: 0.0953 || KD Loss: 0.0222|| 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, 2:07:37 || Estimated Time: 17:33:48
2023-07-12 17:57:49,338 semantic_segmentation INFO: Iters: 29910/50000 || Lr: 0.008804 || Task Loss: 0.0913 || KD Loss: 0.0240|| 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, 2:08:09 || Estimated Time: 17:33:17
2023-07-12 17:58:21,516 semantic_segmentation INFO: Iters: 29920/50000 || Lr: 0.008800 || Task Loss: 0.1019 || KD Loss: 0.0247|| 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, 2:08:41 || Estimated Time: 17:32:46
2023-07-12 17:58:53,624 semantic_segmentation INFO: Iters: 29930/50000 || Lr: 0.008796 || Task Loss: 0.0859 || KD Loss: 0.0254|| 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, 2:09:13 || Estimated Time: 17:32:15
2023-07-12 17:59:25,711 semantic_segmentation INFO: Iters: 29940/50000 || Lr: 0.008792 || Task Loss: 0.0952 || KD Loss: 0.0311|| 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, 2:09:45 || Estimated Time: 17:31:44
2023-07-12 17:59:57,784 semantic_segmentation INFO: Iters: 29950/50000 || Lr: 0.008788 || Task Loss: 0.0838 || KD Loss: 0.0239|| 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, 2:10:18 || Estimated Time: 17:31:13
2023-07-12 18:00:29,786 semantic_segmentation INFO: Iters: 29960/50000 || Lr: 0.008784 || Task Loss: 0.1071 || KD Loss: 0.0227|| 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, 2:10:50 || Estimated Time: 17:30:42
2023-07-12 18:01:01,819 semantic_segmentation INFO: Iters: 29970/50000 || Lr: 0.008780 || Task Loss: 0.0984 || KD Loss: 0.0210|| 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, 2:11:22 || Estimated Time: 17:30:11
2023-07-12 18:01:33,820 semantic_segmentation INFO: Iters: 29980/50000 || Lr: 0.008776 || Task Loss: 0.0995 || KD Loss: 0.0261|| 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, 2:11:54 || Estimated Time: 17:29:40
2023-07-12 18:02:05,849 semantic_segmentation INFO: Iters: 29990/50000 || Lr: 0.008772 || Task Loss: 0.0823 || KD Loss: 0.0248|| 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, 2:12:26 || Estimated Time: 17:29:09
2023-07-12 18:02:37,921 semantic_segmentation INFO: Iters: 30000/50000 || Lr: 0.008768 || Task Loss: 0.0958 || KD Loss: 0.0221|| 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, 2:12:58 || Estimated Time: 17:28:38
2023-07-12 18:03:09,878 semantic_segmentation INFO: Iters: 30010/50000 || Lr: 0.008764 || Task Loss: 0.1035 || KD Loss: 0.0251|| 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, 2:13:30 || Estimated Time: 17:28:06
2023-07-12 18:03:41,875 semantic_segmentation INFO: Iters: 30020/50000 || Lr: 0.008760 || Task Loss: 0.0973 || KD Loss: 0.0215|| 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, 2:14:02 || Estimated Time: 17:27:35
2023-07-12 18:04:13,905 semantic_segmentation INFO: Iters: 30030/50000 || Lr: 0.008756 || Task Loss: 0.0904 || KD Loss: 0.0207|| 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, 2:14:34 || Estimated Time: 17:27:04
2023-07-12 18:04:45,917 semantic_segmentation INFO: Iters: 30040/50000 || Lr: 0.008752 || Task Loss: 0.1088 || KD Loss: 0.0228|| 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, 2:15:06 || Estimated Time: 17:26:33
2023-07-12 18:05:17,928 semantic_segmentation INFO: Iters: 30050/50000 || Lr: 0.008748 || Task Loss: 0.1034 || KD Loss: 0.0208|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0772|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:15:38 || Estimated Time: 17:26:02
2023-07-12 18:05:49,896 semantic_segmentation INFO: Iters: 30060/50000 || Lr: 0.008744 || Task Loss: 0.0900 || KD Loss: 0.0235|| 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, 2:16:10 || Estimated Time: 17:25:31
2023-07-12 18:06:21,885 semantic_segmentation INFO: Iters: 30070/50000 || Lr: 0.008740 || Task Loss: 0.0986 || KD Loss: 0.0241|| 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, 2:16:42 || Estimated Time: 17:25:00
2023-07-12 18:06:53,998 semantic_segmentation INFO: Iters: 30080/50000 || Lr: 0.008736 || Task Loss: 0.0747 || KD Loss: 0.0200|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0795|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:17:14 || Estimated Time: 17:24:29
2023-07-12 18:07:26,037 semantic_segmentation INFO: Iters: 30090/50000 || Lr: 0.008733 || Task Loss: 0.0790 || KD Loss: 0.0226|| 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, 2:17:46 || Estimated Time: 17:23:58
2023-07-12 18:07:58,087 semantic_segmentation INFO: Iters: 30100/50000 || Lr: 0.008729 || Task Loss: 0.0967 || KD Loss: 0.0234|| 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, 2:18:18 || Estimated Time: 17:23:27
2023-07-12 18:08:30,051 semantic_segmentation INFO: Iters: 30110/50000 || Lr: 0.008725 || Task Loss: 0.0909 || 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, 2:18:50 || Estimated Time: 17:22:56
2023-07-12 18:09:02,091 semantic_segmentation INFO: Iters: 30120/50000 || Lr: 0.008721 || Task Loss: 0.0966 || KD Loss: 0.0220|| 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, 2:19:22 || Estimated Time: 17:22:24
2023-07-12 18:09:34,045 semantic_segmentation INFO: Iters: 30130/50000 || Lr: 0.008717 || Task Loss: 0.1015 || KD Loss: 0.0243|| 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, 2:19:54 || Estimated Time: 17:21:53
2023-07-12 18:10:06,003 semantic_segmentation INFO: Iters: 30140/50000 || Lr: 0.008713 || Task Loss: 0.0982 || KD Loss: 0.0247|| 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, 2:20:26 || Estimated Time: 17:21:22
2023-07-12 18:10:37,971 semantic_segmentation INFO: Iters: 30150/50000 || Lr: 0.008709 || Task Loss: 0.0911 || KD Loss: 0.0240|| 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, 2:20:58 || Estimated Time: 17:20:51
2023-07-12 18:11:10,029 semantic_segmentation INFO: Iters: 30160/50000 || Lr: 0.008705 || Task Loss: 0.0969 || KD Loss: 0.0265|| 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, 2:21:30 || Estimated Time: 17:20:20
2023-07-12 18:11:41,996 semantic_segmentation INFO: Iters: 30170/50000 || Lr: 0.008701 || Task Loss: 0.1014 || KD Loss: 0.0274|| 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, 2:22:02 || Estimated Time: 17:19:49
2023-07-12 18:12:14,020 semantic_segmentation INFO: Iters: 30180/50000 || Lr: 0.008697 || Task Loss: 0.1009 || KD Loss: 0.0221|| 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, 2:22:34 || Estimated Time: 17:19:18
2023-07-12 18:12:45,970 semantic_segmentation INFO: Iters: 30190/50000 || Lr: 0.008693 || Task Loss: 0.0966 || KD Loss: 0.0248|| 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, 2:23:06 || Estimated Time: 17:18:47
2023-07-12 18:13:17,920 semantic_segmentation INFO: Iters: 30200/50000 || Lr: 0.008689 || Task Loss: 0.0902 || KD Loss: 0.0242|| 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, 2:23:38 || Estimated Time: 17:18:16
2023-07-12 18:13:49,975 semantic_segmentation INFO: Iters: 30210/50000 || Lr: 0.008685 || Task Loss: 0.1076 || 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, 2:24:10 || Estimated Time: 17:17:44
2023-07-12 18:14:21,936 semantic_segmentation INFO: Iters: 30220/50000 || Lr: 0.008681 || Task Loss: 0.1117 || KD Loss: 0.0275|| 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, 2:24:42 || Estimated Time: 17:17:13
2023-07-12 18:14:54,098 semantic_segmentation INFO: Iters: 30230/50000 || Lr: 0.008677 || Task Loss: 0.1091 || KD Loss: 0.0225|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0795|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:25:14 || Estimated Time: 17:16:42
2023-07-12 18:15:26,288 semantic_segmentation INFO: Iters: 30240/50000 || Lr: 0.008673 || Task Loss: 0.1004 || KD Loss: 0.0247|| 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, 2:25:46 || Estimated Time: 17:16:11
2023-07-12 18:15:58,423 semantic_segmentation INFO: Iters: 30250/50000 || Lr: 0.008669 || Task Loss: 0.0952 || KD Loss: 0.0239|| 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, 2:26:18 || Estimated Time: 17:15:40
2023-07-12 18:16:30,585 semantic_segmentation INFO: Iters: 30260/50000 || Lr: 0.008665 || Task Loss: 0.1048 || KD Loss: 0.0238|| 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, 2:26:50 || Estimated Time: 17:15:09
2023-07-12 18:17:02,625 semantic_segmentation INFO: Iters: 30270/50000 || Lr: 0.008661 || Task Loss: 0.0915 || KD Loss: 0.0208|| 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, 2:27:22 || Estimated Time: 17:14:38
2023-07-12 18:17:34,717 semantic_segmentation INFO: Iters: 30280/50000 || Lr: 0.008658 || Task Loss: 0.0841 || KD Loss: 0.0230|| 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, 2:27:54 || Estimated Time: 17:14:07
2023-07-12 18:18:06,733 semantic_segmentation INFO: Iters: 30290/50000 || Lr: 0.008654 || Task Loss: 0.1017 || KD Loss: 0.0299|| 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, 2:28:26 || Estimated Time: 17:13:36
2023-07-12 18:18:38,775 semantic_segmentation INFO: Iters: 30300/50000 || Lr: 0.008650 || Task Loss: 0.0988 || KD Loss: 0.0232|| 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, 2:28:59 || Estimated Time: 17:13:05
2023-07-12 18:19:10,823 semantic_segmentation INFO: Iters: 30310/50000 || Lr: 0.008646 || Task Loss: 0.0901 || KD Loss: 0.0256|| 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, 2:29:31 || Estimated Time: 17:12:34
2023-07-12 18:19:42,857 semantic_segmentation INFO: Iters: 30320/50000 || Lr: 0.008642 || Task Loss: 0.1015 || KD Loss: 0.0276|| 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, 2:30:03 || Estimated Time: 17:12:03
2023-07-12 18:20:14,865 semantic_segmentation INFO: Iters: 30330/50000 || Lr: 0.008638 || Task Loss: 0.0964 || KD Loss: 0.0249|| 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, 2:30:35 || Estimated Time: 17:11:32
2023-07-12 18:20:46,908 semantic_segmentation INFO: Iters: 30340/50000 || Lr: 0.008634 || Task Loss: 0.1027 || KD Loss: 0.0235|| 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, 2:31:07 || Estimated Time: 17:11:01
2023-07-12 18:21:18,950 semantic_segmentation INFO: Iters: 30350/50000 || Lr: 0.008630 || Task Loss: 0.0887 || KD Loss: 0.0224|| 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, 2:31:39 || Estimated Time: 17:10:29
2023-07-12 18:21:50,912 semantic_segmentation INFO: Iters: 30360/50000 || Lr: 0.008626 || Task Loss: 0.0855 || KD Loss: 0.0250|| 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, 2:32:11 || Estimated Time: 17:09:58
2023-07-12 18:22:22,881 semantic_segmentation INFO: Iters: 30370/50000 || Lr: 0.008622 || Task Loss: 0.1078 || KD Loss: 0.0268|| 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, 2:32:43 || Estimated Time: 17:09:27
2023-07-12 18:22:54,820 semantic_segmentation INFO: Iters: 30380/50000 || Lr: 0.008618 || Task Loss: 0.0953 || KD Loss: 0.0233|| 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, 2:33:15 || Estimated Time: 17:08:56
2023-07-12 18:23:26,718 semantic_segmentation INFO: Iters: 30390/50000 || Lr: 0.008614 || Task Loss: 0.0993 || 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, 2:33:46 || Estimated Time: 17:08:25
2023-07-12 18:23:58,670 semantic_segmentation INFO: Iters: 30400/50000 || Lr: 0.008610 || Task Loss: 0.0798 || KD Loss: 0.0220|| 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, 2:34:18 || Estimated Time: 17:07:54
2023-07-12 18:23:58,768 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 18:23:58,963 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 18:23:58,977 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 18:23:58,994 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.962, mIoU: 0.738
2023-07-12 18:23:59,007 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-12 18:23:59,021 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 18:23:59,035 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.729
2023-07-12 18:23:59,049 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.730
2023-07-12 18:23:59,061 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 18:23:59,073 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.729
2023-07-12 18:23:59,085 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.729
2023-07-12 18:23:59,097 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.731
2023-07-12 18:23:59,109 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.729
2023-07-12 18:23:59,122 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 18:23:59,134 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 18:23:59,147 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 18:23:59,159 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-12 18:23:59,174 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-12 18:23:59,189 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 18:23:59,207 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 18:23:59,223 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 18:23:59,236 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 18:23:59,251 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 18:23:59,268 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 18:23:59,280 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 18:23:59,293 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 18:23:59,305 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 18:23:59,318 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 18:23:59,331 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 18:23:59,343 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 18:23:59,356 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 18:23:59,369 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 18:23:59,382 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 18:23:59,395 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 18:23:59,411 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 18:23:59,427 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 18:23:59,440 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 18:23:59,457 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 18:23:59,469 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 18:23:59,488 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 18:23:59,500 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.738
2023-07-12 18:23:59,514 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 18:23:59,527 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 18:23:59,540 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 18:23:59,553 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 18:23:59,566 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.955, mIoU: 0.741
2023-07-12 18:23:59,580 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 18:23:59,593 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 18:23:59,606 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 18:23:59,625 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 18:23:59,642 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.746
2023-07-12 18:23:59,658 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.747
2023-07-12 18:23:59,676 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.954, mIoU: 0.748
2023-07-12 18:23:59,695 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 18:23:59,709 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.749
2023-07-12 18:23:59,721 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 18:23:59,734 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.953, mIoU: 0.750
2023-07-12 18:23:59,747 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.751
2023-07-12 18:23:59,759 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 18:23:59,772 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 18:23:59,784 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 18:23:59,797 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 18:23:59,809 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.755
2023-07-12 18:23:59,824 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 18:23:59,838 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.951, mIoU: 0.756
2023-07-12 18:23:59,856 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.757
2023-07-12 18:23:59,872 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.950, mIoU: 0.758
2023-07-12 18:23:59,884 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.759
2023-07-12 18:23:59,897 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 18:23:59,910 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 18:23:59,926 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 18:23:59,940 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 18:23:59,954 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 18:23:59,968 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 18:23:59,982 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 18:23:59,995 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 18:24:00,008 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 18:24:00,022 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 18:24:00,041 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 18:24:00,060 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 18:24:00,074 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 18:24:00,090 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 18:24:00,109 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 18:24:00,123 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 18:24:00,135 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 18:24:00,148 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 18:24:00,161 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 18:24:00,173 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 18:24:00,186 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 18:24:00,198 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 18:24:00,210 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 18:24:00,223 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 18:24:00,241 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 18:24:00,260 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 18:24:00,276 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 18:24:00,289 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 18:24:00,307 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 18:24:00,320 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 18:24:00,333 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 18:24:00,347 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 18:24:00,360 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 18:24:00,373 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 18:24:32,522 semantic_segmentation INFO: Iters: 30410/50000 || Lr: 0.008606 || Task Loss: 0.0969 || KD Loss: 0.0244|| 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, 2:34:52 || Estimated Time: 17:07:24
2023-07-12 18:25:04,443 semantic_segmentation INFO: Iters: 30420/50000 || Lr: 0.008602 || Task Loss: 0.0988 || KD Loss: 0.0242|| 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, 2:35:24 || Estimated Time: 17:06:53
2023-07-12 18:25:36,373 semantic_segmentation INFO: Iters: 30430/50000 || Lr: 0.008598 || Task Loss: 0.0946 || KD Loss: 0.0241|| 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, 2:35:56 || Estimated Time: 17:06:21
2023-07-12 18:26:08,350 semantic_segmentation INFO: Iters: 30440/50000 || Lr: 0.008594 || Task Loss: 0.0862 || KD Loss: 0.0244|| 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, 2:36:28 || Estimated Time: 17:05:50
2023-07-12 18:26:40,280 semantic_segmentation INFO: Iters: 30450/50000 || Lr: 0.008590 || Task Loss: 0.0862 || KD Loss: 0.0300|| 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, 2:37:00 || Estimated Time: 17:05:19
2023-07-12 18:27:12,229 semantic_segmentation INFO: Iters: 30460/50000 || Lr: 0.008586 || Task Loss: 0.0939 || KD Loss: 0.0265|| 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, 2:37:32 || Estimated Time: 17:04:48
2023-07-12 18:27:44,151 semantic_segmentation INFO: Iters: 30470/50000 || Lr: 0.008582 || Task Loss: 0.0904 || 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, 2:38:04 || Estimated Time: 17:04:17
2023-07-12 18:28:16,148 semantic_segmentation INFO: Iters: 30480/50000 || Lr: 0.008578 || Task Loss: 0.0915 || 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, 2:38:36 || Estimated Time: 17:03:46
2023-07-12 18:28:48,048 semantic_segmentation INFO: Iters: 30490/50000 || Lr: 0.008574 || Task Loss: 0.0940 || KD Loss: 0.0219|| 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, 2:39:08 || Estimated Time: 17:03:14
2023-07-12 18:29:20,046 semantic_segmentation INFO: Iters: 30500/50000 || Lr: 0.008571 || Task Loss: 0.1203 || KD Loss: 0.0244|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0741|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:39:40 || Estimated Time: 17:02:43
2023-07-12 18:29:52,004 semantic_segmentation INFO: Iters: 30510/50000 || Lr: 0.008567 || Task Loss: 0.0971 || KD Loss: 0.0260|| 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, 2:40:12 || Estimated Time: 17:02:12
2023-07-12 18:30:24,113 semantic_segmentation INFO: Iters: 30520/50000 || Lr: 0.008563 || Task Loss: 0.0954 || KD Loss: 0.0270|| 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, 2:40:44 || Estimated Time: 17:01:41
2023-07-12 18:30:56,246 semantic_segmentation INFO: Iters: 30530/50000 || Lr: 0.008559 || Task Loss: 0.0747 || KD Loss: 0.0251|| 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, 2:41:16 || Estimated Time: 17:01:10
2023-07-12 18:31:28,347 semantic_segmentation INFO: Iters: 30540/50000 || Lr: 0.008555 || Task Loss: 0.1184 || KD Loss: 0.0237|| 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, 2:41:48 || Estimated Time: 17:00:39
2023-07-12 18:32:00,404 semantic_segmentation INFO: Iters: 30550/50000 || Lr: 0.008551 || Task Loss: 0.0956 || KD Loss: 0.0218|| 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, 2:42:20 || Estimated Time: 17:00:08
2023-07-12 18:32:32,532 semantic_segmentation INFO: Iters: 30560/50000 || Lr: 0.008547 || Task Loss: 0.0943 || KD Loss: 0.0259|| 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, 2:42:52 || Estimated Time: 16:59:37
2023-07-12 18:33:04,593 semantic_segmentation INFO: Iters: 30570/50000 || Lr: 0.008543 || Task Loss: 0.1278 || KD Loss: 0.0293|| 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, 2:43:24 || Estimated Time: 16:59:06
2023-07-12 18:33:36,614 semantic_segmentation INFO: Iters: 30580/50000 || Lr: 0.008539 || Task Loss: 0.1000 || KD Loss: 0.0272|| 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, 2:43:56 || Estimated Time: 16:58:35
2023-07-12 18:34:08,589 semantic_segmentation INFO: Iters: 30590/50000 || Lr: 0.008535 || Task Loss: 0.1111 || KD Loss: 0.0331|| 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, 2:44:28 || Estimated Time: 16:58:03
2023-07-12 18:34:40,593 semantic_segmentation INFO: Iters: 30600/50000 || Lr: 0.008531 || Task Loss: 0.0914 || KD Loss: 0.0275|| 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, 2:45:00 || Estimated Time: 16:57:32
2023-07-12 18:35:12,545 semantic_segmentation INFO: Iters: 30610/50000 || Lr: 0.008527 || Task Loss: 0.0990 || KD Loss: 0.0235|| 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, 2:45:32 || Estimated Time: 16:57:01
2023-07-12 18:35:44,609 semantic_segmentation INFO: Iters: 30620/50000 || Lr: 0.008523 || Task Loss: 0.1000 || KD Loss: 0.0234|| 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, 2:46:04 || Estimated Time: 16:56:30
2023-07-12 18:36:16,554 semantic_segmentation INFO: Iters: 30630/50000 || Lr: 0.008519 || Task Loss: 0.1009 || KD Loss: 0.0261|| 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, 2:46:36 || Estimated Time: 16:55:59
2023-07-12 18:36:48,569 semantic_segmentation INFO: Iters: 30640/50000 || Lr: 0.008515 || Task Loss: 0.1077 || KD Loss: 0.0231|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0798|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 2:47:08 || Estimated Time: 16:55:28
2023-07-12 18:37:20,610 semantic_segmentation INFO: Iters: 30650/50000 || Lr: 0.008511 || Task Loss: 0.0805 || KD Loss: 0.0312|| 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, 2:47:40 || Estimated Time: 16:54:57
2023-07-12 18:37:52,615 semantic_segmentation INFO: Iters: 30660/50000 || Lr: 0.008507 || Task Loss: 0.0915 || KD Loss: 0.0247|| 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: 1 day, 2:48:12 || Estimated Time: 16:54:25
2023-07-12 18:38:24,549 semantic_segmentation INFO: Iters: 30670/50000 || Lr: 0.008503 || Task Loss: 0.0969 || KD Loss: 0.0218|| 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, 2:48:44 || Estimated Time: 16:53:54
2023-07-12 18:38:56,637 semantic_segmentation INFO: Iters: 30680/50000 || Lr: 0.008499 || Task Loss: 0.0988 || KD Loss: 0.0311|| 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, 2:49:16 || Estimated Time: 16:53:23
2023-07-12 18:39:28,598 semantic_segmentation INFO: Iters: 30690/50000 || Lr: 0.008495 || Task Loss: 0.1043 || KD Loss: 0.0300|| 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, 2:49:48 || Estimated Time: 16:52:52
2023-07-12 18:40:00,618 semantic_segmentation INFO: Iters: 30700/50000 || Lr: 0.008491 || Task Loss: 0.0819 || KD Loss: 0.0213|| 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, 2:50:20 || Estimated Time: 16:52:21
2023-07-12 18:40:32,551 semantic_segmentation INFO: Iters: 30710/50000 || Lr: 0.008487 || Task Loss: 0.0897 || KD Loss: 0.0287|| 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, 2:50:52 || Estimated Time: 16:51:50
2023-07-12 18:41:04,700 semantic_segmentation INFO: Iters: 30720/50000 || Lr: 0.008483 || Task Loss: 0.1071 || KD Loss: 0.0250|| 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, 2:51:24 || Estimated Time: 16:51:19
2023-07-12 18:41:36,820 semantic_segmentation INFO: Iters: 30730/50000 || Lr: 0.008480 || Task Loss: 0.0942 || KD Loss: 0.0214|| 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, 2:51:57 || Estimated Time: 16:50:48
2023-07-12 18:42:08,975 semantic_segmentation INFO: Iters: 30740/50000 || Lr: 0.008476 || Task Loss: 0.1086 || KD Loss: 0.0263|| 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, 2:52:29 || Estimated Time: 16:50:17
2023-07-12 18:42:41,129 semantic_segmentation INFO: Iters: 30750/50000 || Lr: 0.008472 || Task Loss: 0.0780 || KD Loss: 0.0258|| 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, 2:53:01 || Estimated Time: 16:49:46
2023-07-12 18:43:13,274 semantic_segmentation INFO: Iters: 30760/50000 || Lr: 0.008468 || Task Loss: 0.0849 || KD Loss: 0.0262|| 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, 2:53:33 || Estimated Time: 16:49:14
2023-07-12 18:43:45,328 semantic_segmentation INFO: Iters: 30770/50000 || Lr: 0.008464 || Task Loss: 0.0957 || KD Loss: 0.0249|| 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, 2:54:05 || Estimated Time: 16:48:43
2023-07-12 18:44:17,356 semantic_segmentation INFO: Iters: 30780/50000 || Lr: 0.008460 || Task Loss: 0.0808 || KD Loss: 0.0220|| 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, 2:54:37 || Estimated Time: 16:48:12
2023-07-12 18:44:49,421 semantic_segmentation INFO: Iters: 30790/50000 || Lr: 0.008456 || Task Loss: 0.0900 || KD Loss: 0.0277|| 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, 2:55:09 || Estimated Time: 16:47:41
2023-07-12 18:45:21,489 semantic_segmentation INFO: Iters: 30800/50000 || Lr: 0.008452 || Task Loss: 0.0830 || KD Loss: 0.0217|| 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, 2:55:41 || Estimated Time: 16:47:10
2023-07-12 18:45:53,469 semantic_segmentation INFO: Iters: 30810/50000 || Lr: 0.008448 || Task Loss: 0.1025 || KD Loss: 0.0217|| 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, 2:56:13 || Estimated Time: 16:46:39
2023-07-12 18:46:25,473 semantic_segmentation INFO: Iters: 30820/50000 || Lr: 0.008444 || Task Loss: 0.0885 || KD Loss: 0.0265|| 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, 2:56:45 || Estimated Time: 16:46:08
2023-07-12 18:46:57,445 semantic_segmentation INFO: Iters: 30830/50000 || Lr: 0.008440 || Task Loss: 0.1085 || KD Loss: 0.0258|| 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, 2:57:17 || Estimated Time: 16:45:37
2023-07-12 18:47:29,443 semantic_segmentation INFO: Iters: 30840/50000 || Lr: 0.008436 || Task Loss: 0.0942 || KD Loss: 0.0240|| 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, 2:57:49 || Estimated Time: 16:45:05
2023-07-12 18:48:01,428 semantic_segmentation INFO: Iters: 30850/50000 || Lr: 0.008432 || Task Loss: 0.1112 || KD Loss: 0.0269|| 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, 2:58:21 || Estimated Time: 16:44:34
2023-07-12 18:48:33,418 semantic_segmentation INFO: Iters: 30860/50000 || Lr: 0.008428 || Task Loss: 0.0843 || KD Loss: 0.0267|| 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, 2:58:53 || Estimated Time: 16:44:03
2023-07-12 18:49:05,363 semantic_segmentation INFO: Iters: 30870/50000 || Lr: 0.008424 || Task Loss: 0.1110 || KD Loss: 0.0254|| 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, 2:59:25 || Estimated Time: 16:43:32
2023-07-12 18:49:37,325 semantic_segmentation INFO: Iters: 30880/50000 || Lr: 0.008420 || Task Loss: 0.1011 || KD Loss: 0.0274|| 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, 2:59:57 || Estimated Time: 16:43:01
2023-07-12 18:50:09,320 semantic_segmentation INFO: Iters: 30890/50000 || Lr: 0.008416 || Task Loss: 0.0930 || KD Loss: 0.0207|| 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, 3:00:29 || Estimated Time: 16:42:30
2023-07-12 18:50:41,279 semantic_segmentation INFO: Iters: 30900/50000 || Lr: 0.008412 || Task Loss: 0.0884 || KD Loss: 0.0250|| 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, 3:01:01 || Estimated Time: 16:41:58
2023-07-12 18:51:13,248 semantic_segmentation INFO: Iters: 30910/50000 || Lr: 0.008408 || Task Loss: 0.0748 || KD Loss: 0.0222|| 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, 3:01:33 || Estimated Time: 16:41:27
2023-07-12 18:51:45,354 semantic_segmentation INFO: Iters: 30920/50000 || Lr: 0.008404 || Task Loss: 0.0933 || KD Loss: 0.0255|| 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, 3:02:05 || Estimated Time: 16:40:56
2023-07-12 18:52:17,356 semantic_segmentation INFO: Iters: 30930/50000 || Lr: 0.008400 || Task Loss: 0.1009 || KD Loss: 0.0286|| 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, 3:02:37 || Estimated Time: 16:40:25
2023-07-12 18:52:49,274 semantic_segmentation INFO: Iters: 30940/50000 || Lr: 0.008396 || Task Loss: 0.0979 || KD Loss: 0.0269|| 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, 3:03:09 || Estimated Time: 16:39:54
2023-07-12 18:53:21,213 semantic_segmentation INFO: Iters: 30950/50000 || Lr: 0.008392 || Task Loss: 0.1016 || KD Loss: 0.0308|| 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, 3:03:41 || Estimated Time: 16:39:23
2023-07-12 18:53:53,195 semantic_segmentation INFO: Iters: 30960/50000 || Lr: 0.008388 || Task Loss: 0.1092 || KD Loss: 0.0233|| 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: 1 day, 3:04:13 || Estimated Time: 16:38:51
2023-07-12 18:54:25,238 semantic_segmentation INFO: Iters: 30970/50000 || Lr: 0.008384 || Task Loss: 0.0939 || KD Loss: 0.0282|| 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, 3:04:45 || Estimated Time: 16:38:20
2023-07-12 18:54:57,217 semantic_segmentation INFO: Iters: 30980/50000 || Lr: 0.008380 || Task Loss: 0.0904 || KD Loss: 0.0227|| 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, 3:05:17 || Estimated Time: 16:37:49
2023-07-12 18:55:29,197 semantic_segmentation INFO: Iters: 30990/50000 || Lr: 0.008376 || Task Loss: 0.1007 || KD Loss: 0.0234|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0805|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:05:49 || Estimated Time: 16:37:18
2023-07-12 18:56:01,094 semantic_segmentation INFO: Iters: 31000/50000 || Lr: 0.008373 || Task Loss: 0.0954 || KD Loss: 0.0259|| 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, 3:06:21 || Estimated Time: 16:36:47
2023-07-12 18:56:32,994 semantic_segmentation INFO: Iters: 31010/50000 || Lr: 0.008369 || Task Loss: 0.0996 || KD Loss: 0.0233|| 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, 3:06:53 || Estimated Time: 16:36:16
2023-07-12 18:57:04,933 semantic_segmentation INFO: Iters: 31020/50000 || Lr: 0.008365 || Task Loss: 0.0966 || KD Loss: 0.0238|| 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, 3:07:25 || Estimated Time: 16:35:44
2023-07-12 18:57:36,755 semantic_segmentation INFO: Iters: 31030/50000 || Lr: 0.008361 || Task Loss: 0.1048 || KD Loss: 0.0249|| 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, 3:07:57 || Estimated Time: 16:35:13
2023-07-12 18:58:08,677 semantic_segmentation INFO: Iters: 31040/50000 || Lr: 0.008357 || Task Loss: 0.1013 || KD Loss: 0.0261|| 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, 3:08:28 || Estimated Time: 16:34:42
2023-07-12 18:58:40,634 semantic_segmentation INFO: Iters: 31050/50000 || Lr: 0.008353 || Task Loss: 0.1142 || KD Loss: 0.0260|| 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, 3:09:00 || Estimated Time: 16:34:11
2023-07-12 18:59:12,577 semantic_segmentation INFO: Iters: 31060/50000 || Lr: 0.008349 || Task Loss: 0.0982 || KD Loss: 0.0324|| 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, 3:09:32 || Estimated Time: 16:33:39
2023-07-12 18:59:44,500 semantic_segmentation INFO: Iters: 31070/50000 || Lr: 0.008345 || Task Loss: 0.0893 || KD Loss: 0.0239|| 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, 3:10:04 || Estimated Time: 16:33:08
2023-07-12 19:00:16,429 semantic_segmentation INFO: Iters: 31080/50000 || Lr: 0.008341 || Task Loss: 0.0920 || KD Loss: 0.0279|| 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, 3:10:36 || Estimated Time: 16:32:37
2023-07-12 19:00:48,470 semantic_segmentation INFO: Iters: 31090/50000 || Lr: 0.008337 || Task Loss: 0.1036 || KD Loss: 0.0298|| 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, 3:11:08 || Estimated Time: 16:32:06
2023-07-12 19:01:20,383 semantic_segmentation INFO: Iters: 31100/50000 || Lr: 0.008333 || Task Loss: 0.0969 || KD Loss: 0.0263|| 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, 3:11:40 || Estimated Time: 16:31:35
2023-07-12 19:01:52,311 semantic_segmentation INFO: Iters: 31110/50000 || Lr: 0.008329 || Task Loss: 0.0851 || KD Loss: 0.0220|| 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, 3:12:12 || Estimated Time: 16:31:04
2023-07-12 19:02:24,140 semantic_segmentation INFO: Iters: 31120/50000 || Lr: 0.008325 || Task Loss: 0.0796 || KD Loss: 0.0231|| 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, 3:12:44 || Estimated Time: 16:30:32
2023-07-12 19:02:56,053 semantic_segmentation INFO: Iters: 31130/50000 || Lr: 0.008321 || Task Loss: 0.1020 || KD Loss: 0.0307|| 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, 3:13:16 || Estimated Time: 16:30:01
2023-07-12 19:03:27,973 semantic_segmentation INFO: Iters: 31140/50000 || Lr: 0.008317 || Task Loss: 0.0939 || KD Loss: 0.0240|| 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, 3:13:48 || Estimated Time: 16:29:30
2023-07-12 19:03:59,916 semantic_segmentation INFO: Iters: 31150/50000 || Lr: 0.008313 || Task Loss: 0.0914 || KD Loss: 0.0249|| 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, 3:14:20 || Estimated Time: 16:28:59
2023-07-12 19:04:31,822 semantic_segmentation INFO: Iters: 31160/50000 || Lr: 0.008309 || Task Loss: 0.0968 || KD Loss: 0.0252|| 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, 3:14:52 || Estimated Time: 16:28:27
2023-07-12 19:05:03,691 semantic_segmentation INFO: Iters: 31170/50000 || Lr: 0.008305 || Task Loss: 0.0986 || KD Loss: 0.0291|| 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, 3:15:23 || Estimated Time: 16:27:56
2023-07-12 19:05:35,560 semantic_segmentation INFO: Iters: 31180/50000 || Lr: 0.008301 || Task Loss: 0.0969 || KD Loss: 0.0242|| 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, 3:15:55 || Estimated Time: 16:27:25
2023-07-12 19:06:07,579 semantic_segmentation INFO: Iters: 31190/50000 || Lr: 0.008297 || Task Loss: 0.0881 || KD Loss: 0.0219|| 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, 3:16:27 || Estimated Time: 16:26:54
2023-07-12 19:06:39,733 semantic_segmentation INFO: Iters: 31200/50000 || Lr: 0.008293 || Task Loss: 0.0808 || KD Loss: 0.0262|| 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, 3:16:59 || Estimated Time: 16:26:23
2023-07-12 19:06:39,839 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 19:06:40,027 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.739
2023-07-12 19:06:40,057 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-12 19:06:40,071 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-12 19:06:40,085 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-12 19:06:40,099 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 19:06:40,113 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 19:06:40,128 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 19:06:40,140 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 19:06:40,152 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 19:06:40,165 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 19:06:40,177 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-12 19:06:40,190 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 19:06:40,203 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.737
2023-07-12 19:06:40,215 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 19:06:40,228 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-12 19:06:40,243 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-12 19:06:40,255 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-12 19:06:40,274 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-12 19:06:40,291 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 19:06:40,306 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 19:06:40,319 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 19:06:40,332 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 19:06:40,345 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 19:06:40,359 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-12 19:06:40,372 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 19:06:40,385 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 19:06:40,398 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 19:06:40,411 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 19:06:40,424 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 19:06:40,437 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 19:06:40,453 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 19:06:40,466 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 19:06:40,485 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 19:06:40,502 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 19:06:40,515 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 19:06:40,534 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 19:06:40,551 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 19:06:40,565 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 19:06:40,578 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 19:06:40,591 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 19:06:40,603 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 19:06:40,616 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 19:06:40,631 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 19:06:40,643 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 19:06:40,656 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 19:06:40,668 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 19:06:40,681 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-12 19:06:40,697 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 19:06:40,716 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-12 19:06:40,733 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 19:06:40,746 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 19:06:40,764 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 19:06:40,777 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 19:06:40,790 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 19:06:40,804 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 19:06:40,817 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 19:06:40,830 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 19:06:40,843 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 19:06:40,856 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 19:06:40,870 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 19:06:40,889 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 19:06:40,908 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 19:06:40,924 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 19:06:40,938 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 19:06:40,957 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 19:06:40,970 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-12 19:06:40,983 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 19:06:40,996 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-12 19:06:41,009 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-12 19:06:41,021 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 19:06:41,034 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 19:06:41,047 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 19:06:41,060 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 19:06:41,077 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 19:06:41,090 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:06:41,103 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:06:41,122 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:06:41,142 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:06:41,156 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:06:41,173 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:06:41,187 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:06:41,202 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 19:06:41,216 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:06:41,229 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:06:41,243 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 19:06:41,256 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:06:41,270 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:06:41,289 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:06:41,303 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:06:41,320 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 19:06:41,339 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 19:06:41,355 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 19:06:41,368 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 19:06:41,380 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 19:06:41,392 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 19:06:41,405 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 19:06:41,417 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 19:06:41,429 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 19:06:41,442 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 19:06:41,454 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 19:06:41,466 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 19:07:13,914 semantic_segmentation INFO: Iters: 31210/50000 || Lr: 0.008289 || Task Loss: 0.0877 || KD Loss: 0.0222|| 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, 3:17:34 || Estimated Time: 16:25:53
2023-07-12 19:07:45,989 semantic_segmentation INFO: Iters: 31220/50000 || Lr: 0.008285 || Task Loss: 0.0951 || KD Loss: 0.0261|| 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, 3:18:06 || Estimated Time: 16:25:22
2023-07-12 19:08:18,034 semantic_segmentation INFO: Iters: 31230/50000 || Lr: 0.008281 || Task Loss: 0.0841 || KD Loss: 0.0242|| 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, 3:18:38 || Estimated Time: 16:24:51
2023-07-12 19:08:50,273 semantic_segmentation INFO: Iters: 31240/50000 || Lr: 0.008277 || Task Loss: 0.0833 || KD Loss: 0.0224|| 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, 3:19:10 || Estimated Time: 16:24:20
2023-07-12 19:09:22,277 semantic_segmentation INFO: Iters: 31250/50000 || Lr: 0.008273 || Task Loss: 0.1035 || 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, 3:19:42 || Estimated Time: 16:23:48
2023-07-12 19:09:54,234 semantic_segmentation INFO: Iters: 31260/50000 || Lr: 0.008269 || Task Loss: 0.0906 || KD Loss: 0.0266|| 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, 3:20:14 || Estimated Time: 16:23:17
2023-07-12 19:10:26,346 semantic_segmentation INFO: Iters: 31270/50000 || Lr: 0.008265 || Task Loss: 0.1091 || KD Loss: 0.0273|| 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, 3:20:46 || Estimated Time: 16:22:46
2023-07-12 19:10:58,382 semantic_segmentation INFO: Iters: 31280/50000 || Lr: 0.008261 || Task Loss: 0.0911 || KD Loss: 0.0254|| 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, 3:21:18 || Estimated Time: 16:22:15
2023-07-12 19:11:30,413 semantic_segmentation INFO: Iters: 31290/50000 || Lr: 0.008257 || Task Loss: 0.1069 || KD Loss: 0.0256|| 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, 3:21:50 || Estimated Time: 16:21:44
2023-07-12 19:12:02,413 semantic_segmentation INFO: Iters: 31300/50000 || Lr: 0.008253 || Task Loss: 0.0951 || KD Loss: 0.0238|| 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, 3:22:22 || Estimated Time: 16:21:13
2023-07-12 19:12:34,348 semantic_segmentation INFO: Iters: 31310/50000 || Lr: 0.008249 || Task Loss: 0.0960 || KD Loss: 0.0254|| 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, 3:22:54 || Estimated Time: 16:20:41
2023-07-12 19:13:06,390 semantic_segmentation INFO: Iters: 31320/50000 || Lr: 0.008246 || Task Loss: 0.1009 || KD Loss: 0.0245|| 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, 3:23:26 || Estimated Time: 16:20:10
2023-07-12 19:13:38,345 semantic_segmentation INFO: Iters: 31330/50000 || Lr: 0.008242 || Task Loss: 0.0947 || KD Loss: 0.0234|| 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, 3:23:58 || Estimated Time: 16:19:39
2023-07-12 19:14:10,321 semantic_segmentation INFO: Iters: 31340/50000 || Lr: 0.008238 || Task Loss: 0.0899 || KD Loss: 0.0237|| 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, 3:24:30 || Estimated Time: 16:19:08
2023-07-12 19:14:42,279 semantic_segmentation INFO: Iters: 31350/50000 || Lr: 0.008234 || Task Loss: 0.0945 || KD Loss: 0.0262|| 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, 3:25:02 || Estimated Time: 16:18:37
2023-07-12 19:15:14,331 semantic_segmentation INFO: Iters: 31360/50000 || Lr: 0.008230 || Task Loss: 0.0953 || KD Loss: 0.0242|| 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, 3:25:34 || Estimated Time: 16:18:05
2023-07-12 19:15:46,325 semantic_segmentation INFO: Iters: 31370/50000 || Lr: 0.008226 || Task Loss: 0.0892 || KD Loss: 0.0234|| 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, 3:26:06 || Estimated Time: 16:17:34
2023-07-12 19:16:18,268 semantic_segmentation INFO: Iters: 31380/50000 || Lr: 0.008222 || Task Loss: 0.1160 || KD Loss: 0.0264|| 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, 3:26:38 || Estimated Time: 16:17:03
2023-07-12 19:16:50,229 semantic_segmentation INFO: Iters: 31390/50000 || Lr: 0.008218 || Task Loss: 0.1008 || KD Loss: 0.0260|| 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, 3:27:10 || Estimated Time: 16:16:32
2023-07-12 19:17:22,216 semantic_segmentation INFO: Iters: 31400/50000 || Lr: 0.008214 || Task Loss: 0.0956 || KD Loss: 0.0281|| 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, 3:27:42 || Estimated Time: 16:16:01
2023-07-12 19:17:54,154 semantic_segmentation INFO: Iters: 31410/50000 || Lr: 0.008210 || Task Loss: 0.0755 || KD Loss: 0.0233|| 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, 3:28:14 || Estimated Time: 16:15:30
2023-07-12 19:18:26,209 semantic_segmentation INFO: Iters: 31420/50000 || Lr: 0.008206 || Task Loss: 0.1056 || KD Loss: 0.0303|| 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, 3:28:46 || Estimated Time: 16:14:58
2023-07-12 19:18:58,165 semantic_segmentation INFO: Iters: 31430/50000 || Lr: 0.008202 || Task Loss: 0.0860 || KD Loss: 0.0267|| 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, 3:29:18 || Estimated Time: 16:14:27
2023-07-12 19:19:30,120 semantic_segmentation INFO: Iters: 31440/50000 || Lr: 0.008198 || Task Loss: 0.0898 || KD Loss: 0.0247|| 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, 3:29:50 || Estimated Time: 16:13:56
2023-07-12 19:20:02,053 semantic_segmentation INFO: Iters: 31450/50000 || Lr: 0.008194 || Task Loss: 0.0924 || KD Loss: 0.0204|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0765|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:30:22 || Estimated Time: 16:13:25
2023-07-12 19:20:34,012 semantic_segmentation INFO: Iters: 31460/50000 || Lr: 0.008190 || Task Loss: 0.0908 || KD Loss: 0.0232|| 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, 3:30:54 || Estimated Time: 16:12:54
2023-07-12 19:21:05,975 semantic_segmentation INFO: Iters: 31470/50000 || Lr: 0.008186 || Task Loss: 0.0964 || KD Loss: 0.0257|| 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, 3:31:26 || Estimated Time: 16:12:22
2023-07-12 19:21:37,959 semantic_segmentation INFO: Iters: 31480/50000 || Lr: 0.008182 || Task Loss: 0.0976 || KD Loss: 0.0262|| 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, 3:31:58 || Estimated Time: 16:11:51
2023-07-12 19:22:09,912 semantic_segmentation INFO: Iters: 31490/50000 || Lr: 0.008178 || Task Loss: 0.0923 || KD Loss: 0.0245|| 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, 3:32:30 || Estimated Time: 16:11:20
2023-07-12 19:22:41,954 semantic_segmentation INFO: Iters: 31500/50000 || Lr: 0.008174 || Task Loss: 0.0993 || KD Loss: 0.0242|| 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, 3:33:02 || Estimated Time: 16:10:49
2023-07-12 19:23:14,024 semantic_segmentation INFO: Iters: 31510/50000 || Lr: 0.008170 || Task Loss: 0.0958 || KD Loss: 0.0237|| 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, 3:33:34 || Estimated Time: 16:10:18
2023-07-12 19:23:46,170 semantic_segmentation INFO: Iters: 31520/50000 || Lr: 0.008166 || Task Loss: 0.0857 || KD Loss: 0.0225|| 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, 3:34:06 || Estimated Time: 16:09:47
2023-07-12 19:24:18,424 semantic_segmentation INFO: Iters: 31530/50000 || Lr: 0.008162 || Task Loss: 0.1062 || KD Loss: 0.0271|| 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, 3:34:38 || Estimated Time: 16:09:15
2023-07-12 19:24:50,574 semantic_segmentation INFO: Iters: 31540/50000 || Lr: 0.008158 || Task Loss: 0.0948 || KD Loss: 0.0230|| 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, 3:35:10 || Estimated Time: 16:08:44
2023-07-12 19:25:22,710 semantic_segmentation INFO: Iters: 31550/50000 || Lr: 0.008154 || Task Loss: 0.0952 || KD Loss: 0.0259|| 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, 3:35:42 || Estimated Time: 16:08:13
2023-07-12 19:25:54,710 semantic_segmentation INFO: Iters: 31560/50000 || Lr: 0.008150 || Task Loss: 0.1014 || KD Loss: 0.0216|| 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, 3:36:14 || Estimated Time: 16:07:42
2023-07-12 19:26:26,657 semantic_segmentation INFO: Iters: 31570/50000 || Lr: 0.008146 || Task Loss: 0.0959 || KD Loss: 0.0240|| 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, 3:36:46 || Estimated Time: 16:07:11
2023-07-12 19:26:58,674 semantic_segmentation INFO: Iters: 31580/50000 || Lr: 0.008142 || Task Loss: 0.1028 || KD Loss: 0.0205|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0783|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:37:18 || Estimated Time: 16:06:40
2023-07-12 19:27:30,699 semantic_segmentation INFO: Iters: 31590/50000 || Lr: 0.008138 || Task Loss: 0.0974 || KD Loss: 0.0270|| 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, 3:37:50 || Estimated Time: 16:06:08
2023-07-12 19:28:02,726 semantic_segmentation INFO: Iters: 31600/50000 || Lr: 0.008134 || Task Loss: 0.0850 || KD Loss: 0.0238|| 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, 3:38:22 || Estimated Time: 16:05:37
2023-07-12 19:28:34,748 semantic_segmentation INFO: Iters: 31610/50000 || Lr: 0.008130 || Task Loss: 0.0846 || KD Loss: 0.0240|| 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, 3:38:55 || Estimated Time: 16:05:06
2023-07-12 19:29:06,695 semantic_segmentation INFO: Iters: 31620/50000 || Lr: 0.008126 || Task Loss: 0.1020 || KD Loss: 0.0262|| 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, 3:39:26 || Estimated Time: 16:04:35
2023-07-12 19:29:38,785 semantic_segmentation INFO: Iters: 31630/50000 || Lr: 0.008122 || Task Loss: 0.0990 || KD Loss: 0.0235|| 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, 3:39:59 || Estimated Time: 16:04:04
2023-07-12 19:30:10,773 semantic_segmentation INFO: Iters: 31640/50000 || Lr: 0.008118 || Task Loss: 0.1103 || KD Loss: 0.0285|| 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, 3:40:31 || Estimated Time: 16:03:33
2023-07-12 19:30:42,712 semantic_segmentation INFO: Iters: 31650/50000 || Lr: 0.008114 || Task Loss: 0.0987 || KD Loss: 0.0253|| 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, 3:41:02 || Estimated Time: 16:03:01
2023-07-12 19:31:14,687 semantic_segmentation INFO: Iters: 31660/50000 || Lr: 0.008110 || Task Loss: 0.0919 || KD Loss: 0.0247|| 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, 3:41:34 || Estimated Time: 16:02:30
2023-07-12 19:31:46,739 semantic_segmentation INFO: Iters: 31670/50000 || Lr: 0.008106 || Task Loss: 0.0936 || KD Loss: 0.0265|| 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, 3:42:07 || Estimated Time: 16:01:59
2023-07-12 19:32:18,715 semantic_segmentation INFO: Iters: 31680/50000 || Lr: 0.008102 || Task Loss: 0.0925 || KD Loss: 0.0248|| 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, 3:42:38 || Estimated Time: 16:01:28
2023-07-12 19:32:50,667 semantic_segmentation INFO: Iters: 31690/50000 || Lr: 0.008098 || Task Loss: 0.1028 || KD Loss: 0.0252|| 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, 3:43:10 || Estimated Time: 16:00:57
2023-07-12 19:33:22,618 semantic_segmentation INFO: Iters: 31700/50000 || Lr: 0.008094 || Task Loss: 0.1069 || KD Loss: 0.0276|| 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, 3:43:42 || Estimated Time: 16:00:25
2023-07-12 19:33:54,569 semantic_segmentation INFO: Iters: 31710/50000 || Lr: 0.008090 || Task Loss: 0.0890 || KD Loss: 0.0251|| 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, 3:44:14 || Estimated Time: 15:59:54
2023-07-12 19:34:26,524 semantic_segmentation INFO: Iters: 31720/50000 || Lr: 0.008086 || Task Loss: 0.1014 || KD Loss: 0.0297|| 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, 3:44:46 || Estimated Time: 15:59:23
2023-07-12 19:34:58,636 semantic_segmentation INFO: Iters: 31730/50000 || Lr: 0.008082 || Task Loss: 0.0850 || KD Loss: 0.0253|| 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, 3:45:18 || Estimated Time: 15:58:52
2023-07-12 19:35:30,676 semantic_segmentation INFO: Iters: 31740/50000 || Lr: 0.008078 || Task Loss: 0.1095 || KD Loss: 0.0242|| 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, 3:45:50 || Estimated Time: 15:58:21
2023-07-12 19:36:02,796 semantic_segmentation INFO: Iters: 31750/50000 || Lr: 0.008074 || Task Loss: 0.0895 || KD Loss: 0.0260|| 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, 3:46:23 || Estimated Time: 15:57:49
2023-07-12 19:36:34,935 semantic_segmentation INFO: Iters: 31760/50000 || Lr: 0.008071 || Task Loss: 0.0950 || KD Loss: 0.0240|| 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, 3:46:55 || Estimated Time: 15:57:18
2023-07-12 19:37:07,146 semantic_segmentation INFO: Iters: 31770/50000 || Lr: 0.008067 || Task Loss: 0.0794 || KD Loss: 0.0212|| 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, 3:47:27 || Estimated Time: 15:56:47
2023-07-12 19:37:39,295 semantic_segmentation INFO: Iters: 31780/50000 || Lr: 0.008063 || Task Loss: 0.0845 || KD Loss: 0.0268|| 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, 3:47:59 || Estimated Time: 15:56:16
2023-07-12 19:38:11,397 semantic_segmentation INFO: Iters: 31790/50000 || Lr: 0.008059 || Task Loss: 0.0859 || KD Loss: 0.0214|| 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: 1 day, 3:48:31 || Estimated Time: 15:55:45
2023-07-12 19:38:43,362 semantic_segmentation INFO: Iters: 31800/50000 || Lr: 0.008055 || Task Loss: 0.1135 || KD Loss: 0.0299|| 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, 3:49:03 || Estimated Time: 15:55:14
2023-07-12 19:39:15,325 semantic_segmentation INFO: Iters: 31810/50000 || Lr: 0.008051 || Task Loss: 0.0884 || KD Loss: 0.0271|| 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, 3:49:35 || Estimated Time: 15:54:43
2023-07-12 19:39:47,303 semantic_segmentation INFO: Iters: 31820/50000 || Lr: 0.008047 || Task Loss: 0.0874 || KD Loss: 0.0223|| 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, 3:50:07 || Estimated Time: 15:54:11
2023-07-12 19:40:19,237 semantic_segmentation INFO: Iters: 31830/50000 || Lr: 0.008043 || Task Loss: 0.1092 || KD Loss: 0.0253|| 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, 3:50:39 || Estimated Time: 15:53:40
2023-07-12 19:40:51,170 semantic_segmentation INFO: Iters: 31840/50000 || Lr: 0.008039 || Task Loss: 0.0914 || KD Loss: 0.0258|| 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, 3:51:11 || Estimated Time: 15:53:09
2023-07-12 19:41:23,102 semantic_segmentation INFO: Iters: 31850/50000 || Lr: 0.008035 || Task Loss: 0.0958 || KD Loss: 0.0253|| 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, 3:51:43 || Estimated Time: 15:52:38
2023-07-12 19:41:55,025 semantic_segmentation INFO: Iters: 31860/50000 || Lr: 0.008031 || Task Loss: 0.0867 || KD Loss: 0.0217|| 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, 3:52:15 || Estimated Time: 15:52:06
2023-07-12 19:42:27,013 semantic_segmentation INFO: Iters: 31870/50000 || Lr: 0.008027 || Task Loss: 0.1009 || KD Loss: 0.0248|| 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, 3:52:47 || Estimated Time: 15:51:35
2023-07-12 19:42:58,949 semantic_segmentation INFO: Iters: 31880/50000 || Lr: 0.008023 || Task Loss: 0.0968 || KD Loss: 0.0217|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0790|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || 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: 15:51:04
2023-07-12 19:43:30,878 semantic_segmentation INFO: Iters: 31890/50000 || Lr: 0.008019 || Task Loss: 0.1155 || KD Loss: 0.0290|| 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, 3:53:51 || Estimated Time: 15:50:33
2023-07-12 19:44:02,817 semantic_segmentation INFO: Iters: 31900/50000 || Lr: 0.008015 || Task Loss: 0.1148 || KD Loss: 0.0273|| 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, 3:54:23 || Estimated Time: 15:50:01
2023-07-12 19:44:34,620 semantic_segmentation INFO: Iters: 31910/50000 || Lr: 0.008011 || Task Loss: 0.1008 || KD Loss: 0.0216|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0751|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 3:54:54 || Estimated Time: 15:49:30
2023-07-12 19:45:06,578 semantic_segmentation INFO: Iters: 31920/50000 || Lr: 0.008007 || Task Loss: 0.1090 || KD Loss: 0.0228|| 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, 3:55:26 || Estimated Time: 15:48:59
2023-07-12 19:45:38,496 semantic_segmentation INFO: Iters: 31930/50000 || Lr: 0.008003 || Task Loss: 0.0929 || KD Loss: 0.0278|| 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, 3:55:58 || Estimated Time: 15:48:28
2023-07-12 19:46:10,366 semantic_segmentation INFO: Iters: 31940/50000 || Lr: 0.007999 || Task Loss: 0.0954 || KD Loss: 0.0268|| 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, 3:56:30 || Estimated Time: 15:47:56
2023-07-12 19:46:42,217 semantic_segmentation INFO: Iters: 31950/50000 || Lr: 0.007995 || Task Loss: 0.0859 || KD Loss: 0.0246|| 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, 3:57:02 || Estimated Time: 15:47:25
2023-07-12 19:47:14,100 semantic_segmentation INFO: Iters: 31960/50000 || Lr: 0.007991 || Task Loss: 0.0903 || KD Loss: 0.0250|| 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, 3:57:34 || Estimated Time: 15:46:54
2023-07-12 19:47:45,980 semantic_segmentation INFO: Iters: 31970/50000 || Lr: 0.007987 || Task Loss: 0.0891 || KD Loss: 0.0236|| 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, 3:58:06 || Estimated Time: 15:46:23
2023-07-12 19:48:17,863 semantic_segmentation INFO: Iters: 31980/50000 || Lr: 0.007983 || Task Loss: 0.1044 || KD Loss: 0.0231|| 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, 3:58:38 || Estimated Time: 15:45:51
2023-07-12 19:48:49,765 semantic_segmentation INFO: Iters: 31990/50000 || Lr: 0.007979 || Task Loss: 0.0940 || KD Loss: 0.0258|| 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, 3:59:10 || Estimated Time: 15:45:20
2023-07-12 19:49:21,732 semantic_segmentation INFO: Iters: 32000/50000 || Lr: 0.007975 || Task Loss: 0.0891 || KD Loss: 0.0235|| 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, 3:59:41 || Estimated Time: 15:44:49
2023-07-12 19:49:21,946 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 19:49:22,141 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.740
2023-07-12 19:49:22,168 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-12 19:49:22,180 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.743
2023-07-12 19:49:22,192 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.739
2023-07-12 19:49:22,204 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 19:49:22,216 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 19:49:22,228 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 19:49:22,241 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 19:49:22,253 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 19:49:22,265 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 19:49:22,277 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 19:49:22,289 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.733
2023-07-12 19:49:22,301 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-12 19:49:22,313 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 19:49:22,324 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-12 19:49:22,337 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 19:49:22,349 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-12 19:49:22,364 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-12 19:49:22,376 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 19:49:22,392 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 19:49:22,408 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 19:49:22,425 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 19:49:22,441 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 19:49:22,454 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 19:49:22,471 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 19:49:22,484 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 19:49:22,496 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 19:49:22,508 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 19:49:22,520 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 19:49:22,532 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 19:49:22,545 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 19:49:22,558 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 19:49:22,570 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 19:49:22,585 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 19:49:22,598 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 19:49:22,610 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 19:49:22,628 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 19:49:22,643 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 19:49:22,655 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 19:49:22,668 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 19:49:22,685 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 19:49:22,698 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 19:49:22,711 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 19:49:22,723 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 19:49:22,735 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 19:49:22,748 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 19:49:22,760 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 19:49:22,774 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 19:49:22,786 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 19:49:22,799 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 19:49:22,812 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 19:49:22,831 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 19:49:22,849 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 19:49:22,867 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 19:49:22,881 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 19:49:22,899 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 19:49:22,912 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 19:49:22,924 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 19:49:22,937 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 19:49:22,950 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-12 19:49:22,963 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 19:49:22,976 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 19:49:22,989 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 19:49:23,002 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 19:49:23,015 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 19:49:23,034 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-12 19:49:23,053 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 19:49:23,070 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 19:49:23,084 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 19:49:23,103 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 19:49:23,116 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 19:49:23,130 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 19:49:23,143 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 19:49:23,155 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:49:23,169 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 19:49:23,182 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:49:23,195 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 19:49:23,209 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:49:23,228 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:49:23,242 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 19:49:23,261 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 19:49:23,280 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 19:49:23,294 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 19:49:23,312 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 19:49:23,325 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 19:49:23,339 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 19:49:23,352 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-12 19:49:23,366 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 19:49:23,379 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 19:49:23,391 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 19:49:23,404 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 19:49:23,418 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 19:49:23,430 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 19:49:23,443 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 19:49:23,460 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 19:49:23,476 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 19:49:23,489 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 19:49:23,507 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 19:49:23,519 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 19:49:23,531 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 19:49:23,543 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 19:49:55,542 semantic_segmentation INFO: Iters: 32010/50000 || Lr: 0.007971 || Task Loss: 0.1072 || KD Loss: 0.0275|| 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, 4:00:15 || Estimated Time: 15:44:19
2023-07-12 19:50:27,593 semantic_segmentation INFO: Iters: 32020/50000 || Lr: 0.007967 || Task Loss: 0.0828 || KD Loss: 0.0242|| 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, 4:00:47 || Estimated Time: 15:43:47
2023-07-12 19:50:59,608 semantic_segmentation INFO: Iters: 32030/50000 || Lr: 0.007963 || Task Loss: 0.0937 || KD Loss: 0.0305|| 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, 4:01:19 || Estimated Time: 15:43:16
2023-07-12 19:51:31,588 semantic_segmentation INFO: Iters: 32040/50000 || Lr: 0.007959 || Task Loss: 0.0837 || KD Loss: 0.0240|| 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, 4:01:51 || Estimated Time: 15:42:45
2023-07-12 19:52:03,749 semantic_segmentation INFO: Iters: 32050/50000 || Lr: 0.007955 || Task Loss: 0.0919 || KD Loss: 0.0211|| 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, 4:02:24 || Estimated Time: 15:42:14
2023-07-12 19:52:35,880 semantic_segmentation INFO: Iters: 32060/50000 || Lr: 0.007951 || Task Loss: 0.0915 || KD Loss: 0.0234|| 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, 4:02:56 || Estimated Time: 15:41:43
2023-07-12 19:53:07,844 semantic_segmentation INFO: Iters: 32070/50000 || Lr: 0.007947 || Task Loss: 0.1096 || KD Loss: 0.0305|| 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, 4:03:28 || Estimated Time: 15:41:11
2023-07-12 19:53:39,915 semantic_segmentation INFO: Iters: 32080/50000 || Lr: 0.007943 || Task Loss: 0.0947 || KD Loss: 0.0239|| 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, 4:04:00 || Estimated Time: 15:40:40
2023-07-12 19:54:11,892 semantic_segmentation INFO: Iters: 32090/50000 || Lr: 0.007939 || Task Loss: 0.0777 || KD Loss: 0.0227|| 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, 4:04:32 || Estimated Time: 15:40:09
2023-07-12 19:54:43,851 semantic_segmentation INFO: Iters: 32100/50000 || Lr: 0.007935 || Task Loss: 0.0764 || 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, 4:05:04 || Estimated Time: 15:39:38
2023-07-12 19:55:15,765 semantic_segmentation INFO: Iters: 32110/50000 || Lr: 0.007931 || Task Loss: 0.0775 || KD Loss: 0.0239|| 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, 4:05:36 || Estimated Time: 15:39:07
2023-07-12 19:55:47,726 semantic_segmentation INFO: Iters: 32120/50000 || Lr: 0.007927 || Task Loss: 0.0910 || KD Loss: 0.0267|| 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, 4:06:07 || Estimated Time: 15:38:35
2023-07-12 19:56:19,598 semantic_segmentation INFO: Iters: 32130/50000 || Lr: 0.007923 || Task Loss: 0.1076 || KD Loss: 0.0288|| 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, 4:06:39 || Estimated Time: 15:38:04
2023-07-12 19:56:51,515 semantic_segmentation INFO: Iters: 32140/50000 || Lr: 0.007919 || Task Loss: 0.0955 || KD Loss: 0.0224|| 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, 4:07:11 || Estimated Time: 15:37:33
2023-07-12 19:57:23,511 semantic_segmentation INFO: Iters: 32150/50000 || Lr: 0.007915 || Task Loss: 0.1045 || KD Loss: 0.0230|| 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, 4:07:43 || Estimated Time: 15:37:02
2023-07-12 19:57:55,478 semantic_segmentation INFO: Iters: 32160/50000 || Lr: 0.007911 || Task Loss: 0.1050 || KD Loss: 0.0224|| 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, 4:08:15 || Estimated Time: 15:36:30
2023-07-12 19:58:27,460 semantic_segmentation INFO: Iters: 32170/50000 || Lr: 0.007907 || Task Loss: 0.0868 || KD Loss: 0.0235|| 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, 4:08:47 || Estimated Time: 15:35:59
2023-07-12 19:58:59,421 semantic_segmentation INFO: Iters: 32180/50000 || Lr: 0.007903 || Task Loss: 0.0855 || KD Loss: 0.0266|| 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, 4:09:19 || Estimated Time: 15:35:28
2023-07-12 19:59:31,356 semantic_segmentation INFO: Iters: 32190/50000 || Lr: 0.007899 || Task Loss: 0.0901 || KD Loss: 0.0246|| 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, 4:09:51 || Estimated Time: 15:34:57
2023-07-12 20:00:03,320 semantic_segmentation INFO: Iters: 32200/50000 || Lr: 0.007895 || Task Loss: 0.0835 || KD Loss: 0.0236|| 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, 4:10:23 || Estimated Time: 15:34:25
2023-07-12 20:00:35,252 semantic_segmentation INFO: Iters: 32210/50000 || Lr: 0.007891 || Task Loss: 0.1064 || KD Loss: 0.0271|| 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, 4:10:55 || Estimated Time: 15:33:54
2023-07-12 20:01:07,112 semantic_segmentation INFO: Iters: 32220/50000 || Lr: 0.007887 || Task Loss: 0.1067 || KD Loss: 0.0333|| 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, 4:11:27 || Estimated Time: 15:33:23
2023-07-12 20:01:39,015 semantic_segmentation INFO: Iters: 32230/50000 || Lr: 0.007883 || Task Loss: 0.0958 || KD Loss: 0.0241|| 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, 4:11:59 || Estimated Time: 15:32:52
2023-07-12 20:02:10,914 semantic_segmentation INFO: Iters: 32240/50000 || Lr: 0.007879 || Task Loss: 0.1026 || KD Loss: 0.0298|| 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, 4:12:31 || Estimated Time: 15:32:20
2023-07-12 20:02:42,662 semantic_segmentation INFO: Iters: 32250/50000 || Lr: 0.007875 || Task Loss: 0.1078 || KD Loss: 0.0229|| 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, 4:13:02 || Estimated Time: 15:31:49
2023-07-12 20:03:14,506 semantic_segmentation INFO: Iters: 32260/50000 || Lr: 0.007871 || Task Loss: 0.0899 || KD Loss: 0.0252|| 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, 4:13:34 || Estimated Time: 15:31:18
2023-07-12 20:03:46,413 semantic_segmentation INFO: Iters: 32270/50000 || Lr: 0.007867 || Task Loss: 0.1185 || KD Loss: 0.0267|| 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, 4:14:06 || Estimated Time: 15:30:46
2023-07-12 20:04:18,208 semantic_segmentation INFO: Iters: 32280/50000 || Lr: 0.007863 || Task Loss: 0.0855 || KD Loss: 0.0240|| 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, 4:14:38 || Estimated Time: 15:30:15
2023-07-12 20:04:50,131 semantic_segmentation INFO: Iters: 32290/50000 || Lr: 0.007859 || Task Loss: 0.1061 || KD Loss: 0.0281|| 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, 4:15:10 || Estimated Time: 15:29:44
2023-07-12 20:05:21,995 semantic_segmentation INFO: Iters: 32300/50000 || Lr: 0.007855 || Task Loss: 0.0872 || KD Loss: 0.0242|| 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, 4:15:42 || Estimated Time: 15:29:12
2023-07-12 20:05:53,832 semantic_segmentation INFO: Iters: 32310/50000 || Lr: 0.007851 || Task Loss: 0.1035 || KD Loss: 0.0237|| 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, 4:16:14 || Estimated Time: 15:28:41
2023-07-12 20:06:25,874 semantic_segmentation INFO: Iters: 32320/50000 || Lr: 0.007847 || Task Loss: 0.1031 || KD Loss: 0.0280|| 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, 4:16:46 || Estimated Time: 15:28:10
2023-07-12 20:06:57,801 semantic_segmentation INFO: Iters: 32330/50000 || Lr: 0.007843 || Task Loss: 0.1006 || KD Loss: 0.0248|| 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, 4:17:18 || Estimated Time: 15:27:39
2023-07-12 20:07:29,844 semantic_segmentation INFO: Iters: 32340/50000 || Lr: 0.007839 || Task Loss: 0.0953 || KD Loss: 0.0237|| 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, 4:17:50 || Estimated Time: 15:27:07
2023-07-12 20:08:01,938 semantic_segmentation INFO: Iters: 32350/50000 || Lr: 0.007835 || Task Loss: 0.0934 || KD Loss: 0.0219|| 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, 4:18:22 || Estimated Time: 15:26:36
2023-07-12 20:08:34,001 semantic_segmentation INFO: Iters: 32360/50000 || Lr: 0.007831 || Task Loss: 0.0871 || KD Loss: 0.0204|| 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, 4:18:54 || Estimated Time: 15:26:05
2023-07-12 20:09:06,067 semantic_segmentation INFO: Iters: 32370/50000 || Lr: 0.007827 || Task Loss: 0.1086 || KD Loss: 0.0263|| 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, 4:19:26 || Estimated Time: 15:25:34
2023-07-12 20:09:38,199 semantic_segmentation INFO: Iters: 32380/50000 || Lr: 0.007823 || Task Loss: 0.0884 || KD Loss: 0.0240|| 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, 4:19:58 || Estimated Time: 15:25:03
2023-07-12 20:10:10,177 semantic_segmentation INFO: Iters: 32390/50000 || Lr: 0.007819 || Task Loss: 0.0934 || KD Loss: 0.0265|| 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, 4:20:30 || Estimated Time: 15:24:31
2023-07-12 20:10:42,151 semantic_segmentation INFO: Iters: 32400/50000 || Lr: 0.007815 || Task Loss: 0.0985 || 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, 4:21:02 || Estimated Time: 15:24:00
2023-07-12 20:11:14,206 semantic_segmentation INFO: Iters: 32410/50000 || Lr: 0.007811 || Task Loss: 0.0996 || KD Loss: 0.0255|| 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, 4:21:34 || Estimated Time: 15:23:29
2023-07-12 20:11:46,190 semantic_segmentation INFO: Iters: 32420/50000 || Lr: 0.007807 || Task Loss: 0.0933 || KD Loss: 0.0254|| 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, 4:22:06 || Estimated Time: 15:22:58
2023-07-12 20:12:18,057 semantic_segmentation INFO: Iters: 32430/50000 || Lr: 0.007803 || Task Loss: 0.0977 || KD Loss: 0.0242|| 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, 4:22:38 || Estimated Time: 15:22:27
2023-07-12 20:12:50,077 semantic_segmentation INFO: Iters: 32440/50000 || Lr: 0.007799 || Task Loss: 0.1000 || KD Loss: 0.0257|| 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, 4:23:10 || Estimated Time: 15:21:55
2023-07-12 20:13:22,104 semantic_segmentation INFO: Iters: 32450/50000 || Lr: 0.007795 || Task Loss: 0.1051 || KD Loss: 0.0247|| 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, 4:23:42 || Estimated Time: 15:21:24
2023-07-12 20:13:54,046 semantic_segmentation INFO: Iters: 32460/50000 || Lr: 0.007791 || Task Loss: 0.0946 || KD Loss: 0.0233|| 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, 4:24:14 || Estimated Time: 15:20:53
2023-07-12 20:14:26,001 semantic_segmentation INFO: Iters: 32470/50000 || Lr: 0.007787 || Task Loss: 0.0789 || KD Loss: 0.0311|| 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, 4:24:46 || Estimated Time: 15:20:22
2023-07-12 20:14:57,960 semantic_segmentation INFO: Iters: 32480/50000 || Lr: 0.007783 || Task Loss: 0.0954 || KD Loss: 0.0258|| 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, 4:25:18 || Estimated Time: 15:19:50
2023-07-12 20:15:29,954 semantic_segmentation INFO: Iters: 32490/50000 || Lr: 0.007779 || Task Loss: 0.0855 || KD Loss: 0.0236|| 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, 4:25:50 || Estimated Time: 15:19:19
2023-07-12 20:16:01,943 semantic_segmentation INFO: Iters: 32500/50000 || Lr: 0.007775 || Task Loss: 0.0955 || KD Loss: 0.0243|| 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, 4:26:22 || Estimated Time: 15:18:48
2023-07-12 20:16:33,851 semantic_segmentation INFO: Iters: 32510/50000 || Lr: 0.007771 || Task Loss: 0.0971 || KD Loss: 0.0207|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0742|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:26:54 || Estimated Time: 15:18:17
2023-07-12 20:17:05,818 semantic_segmentation INFO: Iters: 32520/50000 || Lr: 0.007767 || Task Loss: 0.0975 || KD Loss: 0.0247|| 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, 4:27:26 || Estimated Time: 15:17:45
2023-07-12 20:17:37,766 semantic_segmentation INFO: Iters: 32530/50000 || Lr: 0.007763 || Task Loss: 0.0968 || KD Loss: 0.0266|| 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, 4:27:58 || Estimated Time: 15:17:14
2023-07-12 20:18:09,744 semantic_segmentation INFO: Iters: 32540/50000 || Lr: 0.007759 || Task Loss: 0.0935 || KD Loss: 0.0250|| 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, 4:28:30 || Estimated Time: 15:16:43
2023-07-12 20:18:41,687 semantic_segmentation INFO: Iters: 32550/50000 || Lr: 0.007755 || Task Loss: 0.0816 || KD Loss: 0.0225|| 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, 4:29:01 || Estimated Time: 15:16:11
2023-07-12 20:19:13,659 semantic_segmentation INFO: Iters: 32560/50000 || Lr: 0.007751 || Task Loss: 0.0889 || KD Loss: 0.0234|| 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, 4:29:33 || Estimated Time: 15:15:40
2023-07-12 20:19:45,752 semantic_segmentation INFO: Iters: 32570/50000 || Lr: 0.007747 || Task Loss: 0.1118 || KD Loss: 0.0303|| 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, 4:30:06 || Estimated Time: 15:15:09
2023-07-12 20:20:17,849 semantic_segmentation INFO: Iters: 32580/50000 || Lr: 0.007743 || Task Loss: 0.0911 || KD Loss: 0.0244|| 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, 4:30:38 || Estimated Time: 15:14:38
2023-07-12 20:20:49,961 semantic_segmentation INFO: Iters: 32590/50000 || Lr: 0.007739 || Task Loss: 0.0946 || KD Loss: 0.0251|| 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, 4:31:10 || Estimated Time: 15:14:07
2023-07-12 20:21:22,020 semantic_segmentation INFO: Iters: 32600/50000 || Lr: 0.007735 || Task Loss: 0.0952 || KD Loss: 0.0223|| 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: 1 day, 4:31:42 || Estimated Time: 15:13:35
2023-07-12 20:21:54,087 semantic_segmentation INFO: Iters: 32610/50000 || Lr: 0.007731 || Task Loss: 0.0977 || KD Loss: 0.0258|| 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, 4:32:14 || Estimated Time: 15:13:04
2023-07-12 20:22:26,111 semantic_segmentation INFO: Iters: 32620/50000 || Lr: 0.007727 || Task Loss: 0.0986 || KD Loss: 0.0287|| 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, 4:32:46 || Estimated Time: 15:12:33
2023-07-12 20:22:58,163 semantic_segmentation INFO: Iters: 32630/50000 || Lr: 0.007723 || Task Loss: 0.1027 || KD Loss: 0.0233|| 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, 4:33:18 || Estimated Time: 15:12:02
2023-07-12 20:23:29,994 semantic_segmentation INFO: Iters: 32640/50000 || Lr: 0.007719 || Task Loss: 0.0976 || KD Loss: 0.0250|| 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, 4:33:50 || Estimated Time: 15:11:31
2023-07-12 20:24:02,110 semantic_segmentation INFO: Iters: 32650/50000 || Lr: 0.007715 || Task Loss: 0.0899 || KD Loss: 0.0303|| 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, 4:34:22 || Estimated Time: 15:10:59
2023-07-12 20:24:34,053 semantic_segmentation INFO: Iters: 32660/50000 || Lr: 0.007711 || Task Loss: 0.0991 || KD Loss: 0.0221|| 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, 4:34:54 || Estimated Time: 15:10:28
2023-07-12 20:25:06,001 semantic_segmentation INFO: Iters: 32670/50000 || Lr: 0.007707 || Task Loss: 0.0951 || KD Loss: 0.0251|| 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, 4:35:26 || Estimated Time: 15:09:57
2023-07-12 20:25:37,983 semantic_segmentation INFO: Iters: 32680/50000 || Lr: 0.007703 || Task Loss: 0.1052 || KD Loss: 0.0299|| 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, 4:35:58 || Estimated Time: 15:09:26
2023-07-12 20:26:09,890 semantic_segmentation INFO: Iters: 32690/50000 || Lr: 0.007699 || Task Loss: 0.0952 || KD Loss: 0.0250|| 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, 4:36:30 || Estimated Time: 15:08:54
2023-07-12 20:26:41,812 semantic_segmentation INFO: Iters: 32700/50000 || Lr: 0.007695 || Task Loss: 0.1090 || KD Loss: 0.0238|| 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, 4:37:02 || Estimated Time: 15:08:23
2023-07-12 20:27:13,777 semantic_segmentation INFO: Iters: 32710/50000 || Lr: 0.007691 || Task Loss: 0.1011 || KD Loss: 0.0244|| 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, 4:37:34 || Estimated Time: 15:07:52
2023-07-12 20:27:45,750 semantic_segmentation INFO: Iters: 32720/50000 || Lr: 0.007687 || Task Loss: 0.0861 || KD Loss: 0.0225|| 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, 4:38:06 || Estimated Time: 15:07:20
2023-07-12 20:28:17,744 semantic_segmentation INFO: Iters: 32730/50000 || Lr: 0.007683 || Task Loss: 0.1030 || KD Loss: 0.0249|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0757|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 4:38:38 || Estimated Time: 15:06:49
2023-07-12 20:28:49,626 semantic_segmentation INFO: Iters: 32740/50000 || Lr: 0.007679 || Task Loss: 0.0748 || KD Loss: 0.0225|| 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, 4:39:09 || Estimated Time: 15:06:18
2023-07-12 20:29:21,442 semantic_segmentation INFO: Iters: 32750/50000 || Lr: 0.007675 || Task Loss: 0.0914 || KD Loss: 0.0219|| 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, 4:39:41 || Estimated Time: 15:05:47
2023-07-12 20:29:53,400 semantic_segmentation INFO: Iters: 32760/50000 || Lr: 0.007671 || Task Loss: 0.0954 || KD Loss: 0.0251|| 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, 4:40:13 || Estimated Time: 15:05:15
2023-07-12 20:30:25,337 semantic_segmentation INFO: Iters: 32770/50000 || Lr: 0.007667 || Task Loss: 0.0985 || KD Loss: 0.0251|| 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, 4:40:45 || Estimated Time: 15:04:44
2023-07-12 20:30:57,457 semantic_segmentation INFO: Iters: 32780/50000 || Lr: 0.007663 || Task Loss: 0.0996 || KD Loss: 0.0239|| 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, 4:41:17 || Estimated Time: 15:04:13
2023-07-12 20:31:29,597 semantic_segmentation INFO: Iters: 32790/50000 || Lr: 0.007659 || Task Loss: 0.0888 || KD Loss: 0.0246|| 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, 4:41:49 || Estimated Time: 15:03:42
2023-07-12 20:32:01,692 semantic_segmentation INFO: Iters: 32800/50000 || Lr: 0.007655 || Task Loss: 0.0849 || KD Loss: 0.0240|| 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, 4:42:21 || Estimated Time: 15:03:10
2023-07-12 20:32:01,807 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 20:32:02,011 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-12 20:32:02,025 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-12 20:32:02,039 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-12 20:32:02,053 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-12 20:32:02,067 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 20:32:02,082 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 20:32:02,094 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 20:32:02,106 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 20:32:02,118 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 20:32:02,131 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 20:32:02,143 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-12 20:32:02,155 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.731
2023-07-12 20:32:02,167 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.734
2023-07-12 20:32:02,179 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 20:32:02,192 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-12 20:32:02,205 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-12 20:32:02,219 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 20:32:02,235 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-12 20:32:02,251 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 20:32:02,271 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 20:32:02,284 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 20:32:02,302 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 20:32:02,319 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 20:32:02,332 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 20:32:02,345 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 20:32:02,357 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 20:32:02,370 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 20:32:02,382 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 20:32:02,395 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 20:32:02,408 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 20:32:02,421 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 20:32:02,434 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 20:32:02,447 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-12 20:32:02,460 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 20:32:02,474 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 20:32:02,492 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 20:32:02,506 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 20:32:02,520 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 20:32:02,532 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 20:32:02,545 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 20:32:02,557 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 20:32:02,569 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 20:32:02,584 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 20:32:02,597 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 20:32:02,609 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 20:32:02,621 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 20:32:02,634 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 20:32:02,647 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 20:32:02,665 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 20:32:02,681 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 20:32:02,694 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 20:32:02,711 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 20:32:02,729 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 20:32:02,741 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 20:32:02,753 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 20:32:02,766 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 20:32:02,779 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 20:32:02,791 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 20:32:02,804 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 20:32:02,817 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-12 20:32:02,830 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-12 20:32:02,845 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 20:32:02,857 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-12 20:32:02,873 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-12 20:32:02,888 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 20:32:02,906 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-12 20:32:02,924 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 20:32:02,940 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 20:32:02,953 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 20:32:02,965 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 20:32:02,977 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 20:32:02,989 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 20:32:03,002 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 20:32:03,014 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 20:32:03,027 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 20:32:03,040 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 20:32:03,053 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 20:32:03,066 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 20:32:03,082 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 20:32:03,095 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 20:32:03,108 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 20:32:03,125 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 20:32:03,143 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 20:32:03,156 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 20:32:03,169 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 20:32:03,181 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 20:32:03,194 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 20:32:03,207 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 20:32:03,220 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-12 20:32:03,233 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 20:32:03,246 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 20:32:03,262 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 20:32:03,276 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 20:32:03,289 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 20:32:03,308 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 20:32:03,327 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 20:32:03,343 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 20:32:03,356 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 20:32:03,369 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 20:32:03,382 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 20:32:03,394 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 20:32:35,683 semantic_segmentation INFO: Iters: 32810/50000 || Lr: 0.007651 || Task Loss: 0.0924 || KD Loss: 0.0270|| 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, 4:42:55 || Estimated Time: 15:02:40
2023-07-12 20:33:07,692 semantic_segmentation INFO: Iters: 32820/50000 || Lr: 0.007647 || Task Loss: 0.1228 || KD Loss: 0.0257|| 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: 1 day, 4:43:27 || Estimated Time: 15:02:09
2023-07-12 20:33:39,672 semantic_segmentation INFO: Iters: 32830/50000 || Lr: 0.007643 || Task Loss: 0.0935 || KD Loss: 0.0225|| 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, 4:43:59 || Estimated Time: 15:01:38
2023-07-12 20:34:11,637 semantic_segmentation INFO: Iters: 32840/50000 || Lr: 0.007639 || Task Loss: 0.0960 || KD Loss: 0.0224|| 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, 4:44:31 || Estimated Time: 15:01:06
2023-07-12 20:34:43,624 semantic_segmentation INFO: Iters: 32850/50000 || Lr: 0.007635 || Task Loss: 0.1014 || KD Loss: 0.0253|| 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, 4:45:03 || Estimated Time: 15:00:35
2023-07-12 20:35:15,504 semantic_segmentation INFO: Iters: 32860/50000 || Lr: 0.007631 || Task Loss: 0.0939 || KD Loss: 0.0242|| 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, 4:45:35 || Estimated Time: 15:00:04
2023-07-12 20:35:47,606 semantic_segmentation INFO: Iters: 32870/50000 || Lr: 0.007627 || Task Loss: 0.1027 || KD Loss: 0.0240|| 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, 4:46:07 || Estimated Time: 14:59:33
2023-07-12 20:36:19,444 semantic_segmentation INFO: Iters: 32880/50000 || Lr: 0.007623 || Task Loss: 0.0901 || KD Loss: 0.0222|| 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, 4:46:39 || Estimated Time: 14:59:01
2023-07-12 20:36:51,372 semantic_segmentation INFO: Iters: 32890/50000 || Lr: 0.007619 || Task Loss: 0.1065 || KD Loss: 0.0283|| 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, 4:47:11 || Estimated Time: 14:58:30
2023-07-12 20:37:23,420 semantic_segmentation INFO: Iters: 32900/50000 || Lr: 0.007615 || Task Loss: 0.0904 || KD Loss: 0.0211|| 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, 4:47:43 || Estimated Time: 14:57:59
2023-07-12 20:37:55,401 semantic_segmentation INFO: Iters: 32910/50000 || Lr: 0.007611 || Task Loss: 0.0919 || KD Loss: 0.0248|| 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, 4:48:15 || Estimated Time: 14:57:28
2023-07-12 20:38:27,288 semantic_segmentation INFO: Iters: 32920/50000 || Lr: 0.007607 || Task Loss: 0.0982 || KD Loss: 0.0257|| 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, 4:48:47 || Estimated Time: 14:56:56
2023-07-12 20:38:59,159 semantic_segmentation INFO: Iters: 32930/50000 || Lr: 0.007603 || Task Loss: 0.0932 || KD Loss: 0.0238|| 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, 4:49:19 || Estimated Time: 14:56:25
2023-07-12 20:39:31,067 semantic_segmentation INFO: Iters: 32940/50000 || Lr: 0.007599 || Task Loss: 0.1014 || KD Loss: 0.0236|| 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, 4:49:51 || Estimated Time: 14:55:54
2023-07-12 20:40:02,965 semantic_segmentation INFO: Iters: 32950/50000 || Lr: 0.007595 || Task Loss: 0.0967 || KD Loss: 0.0248|| 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, 4:50:23 || Estimated Time: 14:55:22
2023-07-12 20:40:34,784 semantic_segmentation INFO: Iters: 32960/50000 || Lr: 0.007591 || Task Loss: 0.0965 || KD Loss: 0.0249|| 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, 4:50:55 || Estimated Time: 14:54:51
2023-07-12 20:41:06,674 semantic_segmentation INFO: Iters: 32970/50000 || Lr: 0.007587 || Task Loss: 0.0981 || KD Loss: 0.0228|| 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, 4:51:26 || Estimated Time: 14:54:20
2023-07-12 20:41:38,488 semantic_segmentation INFO: Iters: 32980/50000 || Lr: 0.007583 || Task Loss: 0.1009 || KD Loss: 0.0256|| 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, 4:51:58 || Estimated Time: 14:53:48
2023-07-12 20:42:10,312 semantic_segmentation INFO: Iters: 32990/50000 || Lr: 0.007579 || Task Loss: 0.1098 || KD Loss: 0.0229|| 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, 4:52:30 || Estimated Time: 14:53:17
2023-07-12 20:42:42,240 semantic_segmentation INFO: Iters: 33000/50000 || Lr: 0.007575 || Task Loss: 0.0854 || 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, 4:53:02 || Estimated Time: 14:52:46
2023-07-12 20:43:14,128 semantic_segmentation INFO: Iters: 33010/50000 || Lr: 0.007571 || Task Loss: 0.1056 || KD Loss: 0.0260|| 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, 4:53:34 || Estimated Time: 14:52:14
2023-07-12 20:43:46,140 semantic_segmentation INFO: Iters: 33020/50000 || Lr: 0.007567 || Task Loss: 0.0804 || KD Loss: 0.0210|| 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, 4:54:06 || Estimated Time: 14:51:43
2023-07-12 20:44:18,240 semantic_segmentation INFO: Iters: 33030/50000 || Lr: 0.007563 || Task Loss: 0.0998 || KD Loss: 0.0321|| 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, 4:54:38 || Estimated Time: 14:51:12
2023-07-12 20:44:50,284 semantic_segmentation INFO: Iters: 33040/50000 || Lr: 0.007559 || Task Loss: 0.1024 || KD Loss: 0.0244|| 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, 4:55:10 || Estimated Time: 14:50:41
2023-07-12 20:45:22,424 semantic_segmentation INFO: Iters: 33050/50000 || Lr: 0.007555 || Task Loss: 0.0978 || KD Loss: 0.0242|| 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, 4:55:42 || Estimated Time: 14:50:09
2023-07-12 20:45:54,484 semantic_segmentation INFO: Iters: 33060/50000 || Lr: 0.007551 || Task Loss: 0.0901 || KD Loss: 0.0233|| 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, 4:56:14 || Estimated Time: 14:49:38
2023-07-12 20:46:26,437 semantic_segmentation INFO: Iters: 33070/50000 || Lr: 0.007547 || Task Loss: 0.0874 || KD Loss: 0.0238|| 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, 4:56:46 || Estimated Time: 14:49:07
2023-07-12 20:46:58,490 semantic_segmentation INFO: Iters: 33080/50000 || Lr: 0.007543 || Task Loss: 0.0949 || KD Loss: 0.0249|| 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, 4:57:18 || Estimated Time: 14:48:36
2023-07-12 20:47:30,329 semantic_segmentation INFO: Iters: 33090/50000 || Lr: 0.007539 || Task Loss: 0.0963 || KD Loss: 0.0260|| 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, 4:57:50 || Estimated Time: 14:48:04
2023-07-12 20:48:02,289 semantic_segmentation INFO: Iters: 33100/50000 || Lr: 0.007535 || Task Loss: 0.0963 || KD Loss: 0.0249|| 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, 4:58:22 || Estimated Time: 14:47:33
2023-07-12 20:48:34,295 semantic_segmentation INFO: Iters: 33110/50000 || Lr: 0.007531 || Task Loss: 0.0949 || KD Loss: 0.0233|| 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, 4:58:54 || Estimated Time: 14:47:02
2023-07-12 20:49:06,178 semantic_segmentation INFO: Iters: 33120/50000 || Lr: 0.007527 || Task Loss: 0.1078 || KD Loss: 0.0286|| 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, 4:59:26 || Estimated Time: 14:46:31
2023-07-12 20:49:38,123 semantic_segmentation INFO: Iters: 33130/50000 || Lr: 0.007523 || Task Loss: 0.0889 || KD Loss: 0.0223|| 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, 4:59:58 || Estimated Time: 14:45:59
2023-07-12 20:50:10,062 semantic_segmentation INFO: Iters: 33140/50000 || Lr: 0.007519 || Task Loss: 0.1153 || KD Loss: 0.0265|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0778|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:00:30 || Estimated Time: 14:45:28
2023-07-12 20:50:42,009 semantic_segmentation INFO: Iters: 33150/50000 || Lr: 0.007515 || Task Loss: 0.0991 || KD Loss: 0.0235|| 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, 5:01:02 || Estimated Time: 14:44:57
2023-07-12 20:51:13,917 semantic_segmentation INFO: Iters: 33160/50000 || Lr: 0.007511 || Task Loss: 0.0972 || KD Loss: 0.0293|| 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, 5:01:34 || Estimated Time: 14:44:25
2023-07-12 20:51:45,847 semantic_segmentation INFO: Iters: 33170/50000 || Lr: 0.007507 || Task Loss: 0.0845 || 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, 5:02:06 || Estimated Time: 14:43:54
2023-07-12 20:52:17,699 semantic_segmentation INFO: Iters: 33180/50000 || Lr: 0.007503 || Task Loss: 0.0813 || KD Loss: 0.0247|| 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, 5:02:37 || Estimated Time: 14:43:23
2023-07-12 20:52:49,552 semantic_segmentation INFO: Iters: 33190/50000 || Lr: 0.007499 || Task Loss: 0.0970 || KD Loss: 0.0250|| 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, 5:03:09 || Estimated Time: 14:42:51
2023-07-12 20:53:21,519 semantic_segmentation INFO: Iters: 33200/50000 || Lr: 0.007495 || Task Loss: 0.0755 || KD Loss: 0.0216|| 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, 5:03:41 || Estimated Time: 14:42:20
2023-07-12 20:53:53,428 semantic_segmentation INFO: Iters: 33210/50000 || Lr: 0.007491 || Task Loss: 0.0881 || KD Loss: 0.0218|| 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, 5:04:13 || Estimated Time: 14:41:49
2023-07-12 20:54:25,372 semantic_segmentation INFO: Iters: 33220/50000 || Lr: 0.007487 || Task Loss: 0.0853 || KD Loss: 0.0231|| 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, 5:04:45 || Estimated Time: 14:41:17
2023-07-12 20:54:57,290 semantic_segmentation INFO: Iters: 33230/50000 || Lr: 0.007483 || Task Loss: 0.0862 || KD Loss: 0.0253|| 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, 5:05:17 || Estimated Time: 14:40:46
2023-07-12 20:55:29,226 semantic_segmentation INFO: Iters: 33240/50000 || Lr: 0.007479 || Task Loss: 0.0878 || KD Loss: 0.0286|| 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, 5:05:49 || Estimated Time: 14:40:15
2023-07-12 20:56:01,098 semantic_segmentation INFO: Iters: 33250/50000 || Lr: 0.007475 || Task Loss: 0.0951 || KD Loss: 0.0239|| 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, 5:06:21 || Estimated Time: 14:39:44
2023-07-12 20:56:32,960 semantic_segmentation INFO: Iters: 33260/50000 || Lr: 0.007471 || Task Loss: 0.0905 || KD Loss: 0.0225|| 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, 5:06:53 || Estimated Time: 14:39:12
2023-07-12 20:57:04,838 semantic_segmentation INFO: Iters: 33270/50000 || Lr: 0.007467 || Task Loss: 0.0864 || KD Loss: 0.0230|| 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, 5:07:25 || Estimated Time: 14:38:41
2023-07-12 20:57:36,727 semantic_segmentation INFO: Iters: 33280/50000 || Lr: 0.007463 || Task Loss: 0.1014 || KD Loss: 0.0234|| 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, 5:07:56 || Estimated Time: 14:38:10
2023-07-12 20:58:08,576 semantic_segmentation INFO: Iters: 33290/50000 || Lr: 0.007459 || Task Loss: 0.0963 || KD Loss: 0.0234|| 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: 1 day, 5:08:28 || Estimated Time: 14:37:38
2023-07-12 20:58:40,480 semantic_segmentation INFO: Iters: 33300/50000 || Lr: 0.007455 || Task Loss: 0.0948 || KD Loss: 0.0230|| 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, 5:09:00 || Estimated Time: 14:37:07
2023-07-12 20:59:12,479 semantic_segmentation INFO: Iters: 33310/50000 || Lr: 0.007451 || Task Loss: 0.0933 || KD Loss: 0.0251|| 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, 5:09:32 || Estimated Time: 14:36:36
2023-07-12 20:59:44,428 semantic_segmentation INFO: Iters: 33320/50000 || Lr: 0.007447 || Task Loss: 0.0945 || KD Loss: 0.0223|| 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, 5:10:04 || Estimated Time: 14:36:04
2023-07-12 21:00:16,402 semantic_segmentation INFO: Iters: 33330/50000 || Lr: 0.007443 || Task Loss: 0.0936 || KD Loss: 0.0273|| 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, 5:10:36 || Estimated Time: 14:35:33
2023-07-12 21:00:48,299 semantic_segmentation INFO: Iters: 33340/50000 || Lr: 0.007439 || Task Loss: 0.1031 || KD Loss: 0.0248|| 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, 5:11:08 || Estimated Time: 14:35:02
2023-07-12 21:01:20,197 semantic_segmentation INFO: Iters: 33350/50000 || Lr: 0.007435 || Task Loss: 0.1045 || KD Loss: 0.0245|| 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, 5:11:40 || Estimated Time: 14:34:30
2023-07-12 21:01:52,104 semantic_segmentation INFO: Iters: 33360/50000 || Lr: 0.007431 || Task Loss: 0.0962 || KD Loss: 0.0224|| 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: 1 day, 5:12:12 || Estimated Time: 14:33:59
2023-07-12 21:02:24,073 semantic_segmentation INFO: Iters: 33370/50000 || Lr: 0.007426 || Task Loss: 0.0959 || KD Loss: 0.0240|| 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, 5:12:44 || Estimated Time: 14:33:28
2023-07-12 21:02:55,956 semantic_segmentation INFO: Iters: 33380/50000 || Lr: 0.007422 || Task Loss: 0.1016 || KD Loss: 0.0264|| 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, 5:13:16 || Estimated Time: 14:32:56
2023-07-12 21:03:27,819 semantic_segmentation INFO: Iters: 33390/50000 || Lr: 0.007418 || Task Loss: 0.1014 || KD Loss: 0.0258|| 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, 5:13:48 || Estimated Time: 14:32:25
2023-07-12 21:03:59,802 semantic_segmentation INFO: Iters: 33400/50000 || Lr: 0.007414 || Task Loss: 0.0902 || KD Loss: 0.0233|| 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, 5:14:20 || Estimated Time: 14:31:54
2023-07-12 21:04:31,750 semantic_segmentation INFO: Iters: 33410/50000 || Lr: 0.007410 || Task Loss: 0.0971 || KD Loss: 0.0287|| 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, 5:14:52 || Estimated Time: 14:31:23
2023-07-12 21:05:03,639 semantic_segmentation INFO: Iters: 33420/50000 || Lr: 0.007406 || Task Loss: 0.1029 || KD Loss: 0.0236|| 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, 5:15:23 || Estimated Time: 14:30:51
2023-07-12 21:05:35,554 semantic_segmentation INFO: Iters: 33430/50000 || Lr: 0.007402 || Task Loss: 0.0904 || KD Loss: 0.0290|| 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, 5:15:55 || Estimated Time: 14:30:20
2023-07-12 21:06:07,347 semantic_segmentation INFO: Iters: 33440/50000 || Lr: 0.007398 || Task Loss: 0.0975 || 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, 5:16:27 || Estimated Time: 14:29:49
2023-07-12 21:06:39,224 semantic_segmentation INFO: Iters: 33450/50000 || Lr: 0.007394 || Task Loss: 0.0881 || KD Loss: 0.0291|| 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, 5:16:59 || Estimated Time: 14:29:17
2023-07-12 21:07:10,999 semantic_segmentation INFO: Iters: 33460/50000 || Lr: 0.007390 || Task Loss: 0.0949 || KD Loss: 0.0267|| 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, 5:17:31 || Estimated Time: 14:28:46
2023-07-12 21:07:42,959 semantic_segmentation INFO: Iters: 33470/50000 || Lr: 0.007386 || Task Loss: 0.0978 || KD Loss: 0.0206|| 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, 5:18:03 || Estimated Time: 14:28:15
2023-07-12 21:08:14,840 semantic_segmentation INFO: Iters: 33480/50000 || Lr: 0.007382 || Task Loss: 0.0946 || KD Loss: 0.0248|| 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, 5:18:35 || Estimated Time: 14:27:43
2023-07-12 21:08:46,747 semantic_segmentation INFO: Iters: 33490/50000 || Lr: 0.007378 || Task Loss: 0.0871 || KD Loss: 0.0235|| 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, 5:19:07 || Estimated Time: 14:27:12
2023-07-12 21:09:18,477 semantic_segmentation INFO: Iters: 33500/50000 || Lr: 0.007374 || Task Loss: 0.0918 || KD Loss: 0.0246|| 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, 5:19:38 || Estimated Time: 14:26:40
2023-07-12 21:09:50,343 semantic_segmentation INFO: Iters: 33510/50000 || Lr: 0.007370 || Task Loss: 0.0901 || KD Loss: 0.0239|| 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, 5:20:10 || Estimated Time: 14:26:09
2023-07-12 21:10:22,219 semantic_segmentation INFO: Iters: 33520/50000 || Lr: 0.007366 || Task Loss: 0.0876 || KD Loss: 0.0254|| 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, 5:20:42 || Estimated Time: 14:25:38
2023-07-12 21:10:54,064 semantic_segmentation INFO: Iters: 33530/50000 || Lr: 0.007362 || Task Loss: 0.0839 || KD Loss: 0.0238|| 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, 5:21:14 || Estimated Time: 14:25:06
2023-07-12 21:11:25,975 semantic_segmentation INFO: Iters: 33540/50000 || Lr: 0.007358 || Task Loss: 0.1021 || KD Loss: 0.0270|| 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, 5:21:46 || Estimated Time: 14:24:35
2023-07-12 21:11:58,024 semantic_segmentation INFO: Iters: 33550/50000 || Lr: 0.007354 || Task Loss: 0.0944 || KD Loss: 0.0262|| 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, 5:22:18 || Estimated Time: 14:24:04
2023-07-12 21:12:30,172 semantic_segmentation INFO: Iters: 33560/50000 || Lr: 0.007350 || Task Loss: 0.1014 || 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, 5:22:50 || Estimated Time: 14:23:33
2023-07-12 21:13:02,197 semantic_segmentation INFO: Iters: 33570/50000 || Lr: 0.007346 || Task Loss: 0.0918 || KD Loss: 0.0219|| 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, 5:23:22 || Estimated Time: 14:23:01
2023-07-12 21:13:34,236 semantic_segmentation INFO: Iters: 33580/50000 || Lr: 0.007342 || Task Loss: 0.0892 || KD Loss: 0.0237|| 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, 5:23:54 || Estimated Time: 14:22:30
2023-07-12 21:14:06,272 semantic_segmentation INFO: Iters: 33590/50000 || Lr: 0.007338 || Task Loss: 0.1023 || KD Loss: 0.0261|| 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, 5:24:26 || Estimated Time: 14:21:59
2023-07-12 21:14:38,356 semantic_segmentation INFO: Iters: 33600/50000 || Lr: 0.007334 || Task Loss: 0.0822 || KD Loss: 0.0223|| 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, 5:24:58 || Estimated Time: 14:21:28
2023-07-12 21:14:38,462 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 21:14:38,649 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.962, mIoU: 0.740
2023-07-12 21:14:38,669 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.742
2023-07-12 21:14:38,682 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.745
2023-07-12 21:14:38,696 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.741
2023-07-12 21:14:38,711 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-12 21:14:38,725 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-12 21:14:38,739 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-12 21:14:38,751 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-12 21:14:38,763 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 21:14:38,775 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.732
2023-07-12 21:14:38,787 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 21:14:38,800 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 21:14:38,813 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 21:14:38,825 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 21:14:38,836 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-12 21:14:38,848 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-12 21:14:38,863 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 21:14:38,876 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 21:14:38,895 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 21:14:38,913 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 21:14:38,928 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 21:14:38,940 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 21:14:38,952 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 21:14:38,965 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 21:14:38,977 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-12 21:14:38,990 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 21:14:39,002 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 21:14:39,015 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 21:14:39,027 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 21:14:39,040 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 21:14:39,052 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 21:14:39,065 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 21:14:39,083 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 21:14:39,103 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-12 21:14:39,117 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-12 21:14:39,133 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 21:14:39,152 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 21:14:39,169 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 21:14:39,183 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 21:14:39,196 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 21:14:39,209 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 21:14:39,222 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 21:14:39,235 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-12 21:14:39,248 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 21:14:39,261 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 21:14:39,274 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 21:14:39,287 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 21:14:39,303 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 21:14:39,317 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 21:14:39,331 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 21:14:39,349 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 21:14:39,364 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 21:14:39,378 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-12 21:14:39,396 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 21:14:39,410 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 21:14:39,423 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-12 21:14:39,436 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 21:14:39,449 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 21:14:39,461 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-12 21:14:39,474 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 21:14:39,487 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 21:14:39,500 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-12 21:14:39,518 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 21:14:39,535 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 21:14:39,549 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-12 21:14:39,568 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-12 21:14:39,586 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 21:14:39,600 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-12 21:14:39,613 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 21:14:39,626 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 21:14:39,639 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 21:14:39,652 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 21:14:39,665 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 21:14:39,678 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 21:14:39,691 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 21:14:39,704 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 21:14:39,723 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 21:14:39,736 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 21:14:39,755 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-12 21:14:39,773 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 21:14:39,786 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 21:14:39,803 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-12 21:14:39,817 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-12 21:14:39,831 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 21:14:39,844 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 21:14:39,857 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 21:14:39,870 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 21:14:39,882 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 21:14:39,895 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.762
2023-07-12 21:14:39,908 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 21:14:39,921 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 21:14:39,938 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 21:14:39,951 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-12 21:14:39,969 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 21:14:39,987 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 21:14:40,003 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 21:14:40,017 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 21:14:40,030 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 21:14:40,043 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 21:14:40,056 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 21:14:40,069 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 21:15:12,637 semantic_segmentation INFO: Iters: 33610/50000 || Lr: 0.007330 || Task Loss: 0.0828 || KD Loss: 0.0221|| 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, 5:25:32 || Estimated Time: 14:20:57
2023-07-12 21:15:44,645 semantic_segmentation INFO: Iters: 33620/50000 || Lr: 0.007326 || Task Loss: 0.1157 || KD Loss: 0.0232|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0757|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 5:26:04 || Estimated Time: 14:20:26
2023-07-12 21:16:16,589 semantic_segmentation INFO: Iters: 33630/50000 || Lr: 0.007322 || Task Loss: 0.1011 || 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: 1 day, 5:26:36 || Estimated Time: 14:19:55
2023-07-12 21:16:48,544 semantic_segmentation INFO: Iters: 33640/50000 || Lr: 0.007318 || Task Loss: 0.0994 || KD Loss: 0.0221|| 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, 5:27:08 || Estimated Time: 14:19:24
2023-07-12 21:17:20,495 semantic_segmentation INFO: Iters: 33650/50000 || Lr: 0.007314 || Task Loss: 0.0929 || KD Loss: 0.0257|| 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, 5:27:40 || Estimated Time: 14:18:52
2023-07-12 21:17:52,442 semantic_segmentation INFO: Iters: 33660/50000 || Lr: 0.007310 || Task Loss: 0.0888 || KD Loss: 0.0219|| 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, 5:28:12 || Estimated Time: 14:18:21
2023-07-12 21:18:24,485 semantic_segmentation INFO: Iters: 33670/50000 || Lr: 0.007306 || Task Loss: 0.0975 || KD Loss: 0.0256|| 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, 5:28:44 || Estimated Time: 14:17:50
2023-07-12 21:18:56,409 semantic_segmentation INFO: Iters: 33680/50000 || Lr: 0.007302 || Task Loss: 0.0783 || KD Loss: 0.0222|| 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, 5:29:16 || Estimated Time: 14:17:18
2023-07-12 21:19:28,218 semantic_segmentation INFO: Iters: 33690/50000 || Lr: 0.007298 || Task Loss: 0.0983 || KD Loss: 0.0250|| 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, 5:29:48 || Estimated Time: 14:16:47
2023-07-12 21:20:00,143 semantic_segmentation INFO: Iters: 33700/50000 || Lr: 0.007294 || Task Loss: 0.0884 || KD Loss: 0.0203|| 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, 5:30:20 || Estimated Time: 14:16:16
2023-07-12 21:20:32,052 semantic_segmentation INFO: Iters: 33710/50000 || Lr: 0.007290 || Task Loss: 0.0899 || KD Loss: 0.0255|| 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, 5:30:52 || Estimated Time: 14:15:44
2023-07-12 21:21:03,985 semantic_segmentation INFO: Iters: 33720/50000 || Lr: 0.007286 || Task Loss: 0.1065 || KD Loss: 0.0295|| 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, 5:31:24 || Estimated Time: 14:15:13
2023-07-12 21:21:35,958 semantic_segmentation INFO: Iters: 33730/50000 || Lr: 0.007282 || Task Loss: 0.1006 || KD Loss: 0.0335|| 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, 5:31:56 || Estimated Time: 14:14:42
2023-07-12 21:22:07,986 semantic_segmentation INFO: Iters: 33740/50000 || Lr: 0.007278 || Task Loss: 0.1034 || KD Loss: 0.0252|| 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, 5:32:28 || Estimated Time: 14:14:10
2023-07-12 21:22:40,078 semantic_segmentation INFO: Iters: 33750/50000 || Lr: 0.007274 || Task Loss: 0.0860 || KD Loss: 0.0210|| 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, 5:33:00 || Estimated Time: 14:13:39
2023-07-12 21:23:12,080 semantic_segmentation INFO: Iters: 33760/50000 || Lr: 0.007270 || Task Loss: 0.0947 || KD Loss: 0.0259|| 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, 5:33:32 || Estimated Time: 14:13:08
2023-07-12 21:23:44,231 semantic_segmentation INFO: Iters: 33770/50000 || Lr: 0.007266 || Task Loss: 0.0812 || KD Loss: 0.0236|| 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, 5:34:04 || Estimated Time: 14:12:37
2023-07-12 21:24:16,268 semantic_segmentation INFO: Iters: 33780/50000 || Lr: 0.007262 || Task Loss: 0.0835 || KD Loss: 0.0249|| 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, 5:34:36 || Estimated Time: 14:12:05
2023-07-12 21:24:48,383 semantic_segmentation INFO: Iters: 33790/50000 || Lr: 0.007257 || Task Loss: 0.0993 || KD Loss: 0.0294|| 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, 5:35:08 || Estimated Time: 14:11:34
2023-07-12 21:25:20,399 semantic_segmentation INFO: Iters: 33800/50000 || Lr: 0.007253 || Task Loss: 0.0902 || KD Loss: 0.0237|| 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, 5:35:40 || Estimated Time: 14:11:03
2023-07-12 21:25:52,494 semantic_segmentation INFO: Iters: 33810/50000 || Lr: 0.007249 || Task Loss: 0.0998 || KD Loss: 0.0224|| 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, 5:36:12 || Estimated Time: 14:10:32
2023-07-12 21:26:24,569 semantic_segmentation INFO: Iters: 33820/50000 || Lr: 0.007245 || Task Loss: 0.0974 || KD Loss: 0.0256|| 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, 5:36:44 || Estimated Time: 14:10:00
2023-07-12 21:26:56,525 semantic_segmentation INFO: Iters: 33830/50000 || Lr: 0.007241 || Task Loss: 0.0983 || KD Loss: 0.0258|| 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, 5:37:16 || Estimated Time: 14:09:29
2023-07-12 21:27:28,533 semantic_segmentation INFO: Iters: 33840/50000 || Lr: 0.007237 || Task Loss: 0.0891 || 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, 5:37:48 || Estimated Time: 14:08:58
2023-07-12 21:28:00,523 semantic_segmentation INFO: Iters: 33850/50000 || Lr: 0.007233 || Task Loss: 0.0799 || KD Loss: 0.0250|| 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, 5:38:20 || Estimated Time: 14:08:26
2023-07-12 21:28:32,506 semantic_segmentation INFO: Iters: 33860/50000 || Lr: 0.007229 || Task Loss: 0.0952 || KD Loss: 0.0207|| 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, 5:38:52 || Estimated Time: 14:07:55
2023-07-12 21:29:04,533 semantic_segmentation INFO: Iters: 33870/50000 || Lr: 0.007225 || Task Loss: 0.0807 || KD Loss: 0.0214|| 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, 5:39:24 || Estimated Time: 14:07:24
2023-07-12 21:29:36,543 semantic_segmentation INFO: Iters: 33880/50000 || Lr: 0.007221 || Task Loss: 0.0999 || 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, 5:39:56 || Estimated Time: 14:06:53
2023-07-12 21:30:08,574 semantic_segmentation INFO: Iters: 33890/50000 || Lr: 0.007217 || Task Loss: 0.0891 || KD Loss: 0.0220|| 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, 5:40:28 || Estimated Time: 14:06:21
2023-07-12 21:30:40,539 semantic_segmentation INFO: Iters: 33900/50000 || Lr: 0.007213 || Task Loss: 0.0882 || KD Loss: 0.0239|| 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, 5:41:00 || Estimated Time: 14:05:50
2023-07-12 21:31:12,585 semantic_segmentation INFO: Iters: 33910/50000 || Lr: 0.007209 || Task Loss: 0.1120 || KD Loss: 0.0293|| 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, 5:41:32 || Estimated Time: 14:05:19
2023-07-12 21:31:44,595 semantic_segmentation INFO: Iters: 33920/50000 || Lr: 0.007205 || Task Loss: 0.0803 || KD Loss: 0.0199|| 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, 5:42:04 || Estimated Time: 14:04:47
2023-07-12 21:32:16,578 semantic_segmentation INFO: Iters: 33930/50000 || Lr: 0.007201 || Task Loss: 0.0991 || KD Loss: 0.0305|| 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, 5:42:36 || Estimated Time: 14:04:16
2023-07-12 21:32:48,505 semantic_segmentation INFO: Iters: 33940/50000 || Lr: 0.007197 || Task Loss: 0.0775 || KD Loss: 0.0224|| 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, 5:43:08 || Estimated Time: 14:03:45
2023-07-12 21:33:20,386 semantic_segmentation INFO: Iters: 33950/50000 || Lr: 0.007193 || Task Loss: 0.0855 || KD Loss: 0.0222|| 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, 5:43:40 || Estimated Time: 14:03:13
2023-07-12 21:33:52,337 semantic_segmentation INFO: Iters: 33960/50000 || Lr: 0.007189 || Task Loss: 0.1019 || 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, 5:44:12 || Estimated Time: 14:02:42
2023-07-12 21:34:24,290 semantic_segmentation INFO: Iters: 33970/50000 || Lr: 0.007185 || Task Loss: 0.0973 || KD Loss: 0.0240|| 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, 5:44:44 || Estimated Time: 14:02:11
2023-07-12 21:34:56,207 semantic_segmentation INFO: Iters: 33980/50000 || Lr: 0.007181 || Task Loss: 0.0798 || KD Loss: 0.0222|| 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, 5:45:16 || Estimated Time: 14:01:39
2023-07-12 21:35:28,188 semantic_segmentation INFO: Iters: 33990/50000 || Lr: 0.007177 || Task Loss: 0.1013 || KD Loss: 0.0267|| 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, 5:45:48 || Estimated Time: 14:01:08
2023-07-12 21:36:00,224 semantic_segmentation INFO: Iters: 34000/50000 || Lr: 0.007173 || Task Loss: 0.0905 || 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, 5:46:20 || Estimated Time: 14:00:37
2023-07-12 21:36:32,190 semantic_segmentation INFO: Iters: 34010/50000 || Lr: 0.007169 || Task Loss: 0.1113 || KD Loss: 0.0270|| 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, 5:46:52 || Estimated Time: 14:00:06
2023-07-12 21:37:04,233 semantic_segmentation INFO: Iters: 34020/50000 || Lr: 0.007165 || Task Loss: 0.1248 || KD Loss: 0.0227|| 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, 5:47:24 || Estimated Time: 13:59:34
2023-07-12 21:37:36,276 semantic_segmentation INFO: Iters: 34030/50000 || Lr: 0.007161 || Task Loss: 0.1049 || KD Loss: 0.0281|| 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, 5:47:56 || Estimated Time: 13:59:03
2023-07-12 21:38:08,334 semantic_segmentation INFO: Iters: 34040/50000 || Lr: 0.007157 || Task Loss: 0.0965 || KD Loss: 0.0221|| 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, 5:48:28 || Estimated Time: 13:58:32
2023-07-12 21:38:40,376 semantic_segmentation INFO: Iters: 34050/50000 || Lr: 0.007153 || Task Loss: 0.0814 || KD Loss: 0.0229|| 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, 5:49:00 || Estimated Time: 13:58:00
2023-07-12 21:39:12,414 semantic_segmentation INFO: Iters: 34060/50000 || Lr: 0.007149 || Task Loss: 0.0995 || KD Loss: 0.0225|| 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: 1 day, 5:49:32 || Estimated Time: 13:57:29
2023-07-12 21:39:44,382 semantic_segmentation INFO: Iters: 34070/50000 || Lr: 0.007145 || Task Loss: 0.0910 || KD Loss: 0.0218|| 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, 5:50:04 || Estimated Time: 13:56:58
2023-07-12 21:40:16,238 semantic_segmentation INFO: Iters: 34080/50000 || Lr: 0.007141 || Task Loss: 0.0865 || KD Loss: 0.0216|| 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, 5:50:36 || Estimated Time: 13:56:26
2023-07-12 21:40:48,283 semantic_segmentation INFO: Iters: 34090/50000 || Lr: 0.007136 || Task Loss: 0.0796 || KD Loss: 0.0209|| 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, 5:51:08 || Estimated Time: 13:55:55
2023-07-12 21:41:20,280 semantic_segmentation INFO: Iters: 34100/50000 || Lr: 0.007132 || Task Loss: 0.0971 || KD Loss: 0.0233|| 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, 5:51:40 || Estimated Time: 13:55:24
2023-07-12 21:41:52,304 semantic_segmentation INFO: Iters: 34110/50000 || Lr: 0.007128 || Task Loss: 0.0965 || KD Loss: 0.0269|| 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, 5:52:12 || Estimated Time: 13:54:53
2023-07-12 21:42:24,257 semantic_segmentation INFO: Iters: 34120/50000 || Lr: 0.007124 || Task Loss: 0.0813 || KD Loss: 0.0239|| 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, 5:52:44 || Estimated Time: 13:54:21
2023-07-12 21:42:56,267 semantic_segmentation INFO: Iters: 34130/50000 || Lr: 0.007120 || Task Loss: 0.0868 || KD Loss: 0.0247|| 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, 5:53:16 || Estimated Time: 13:53:50
2023-07-12 21:43:28,171 semantic_segmentation INFO: Iters: 34140/50000 || Lr: 0.007116 || Task Loss: 0.0910 || KD Loss: 0.0228|| 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, 5:53:48 || Estimated Time: 13:53:19
2023-07-12 21:44:00,245 semantic_segmentation INFO: Iters: 34150/50000 || Lr: 0.007112 || Task Loss: 0.0876 || KD Loss: 0.0231|| 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, 5:54:20 || Estimated Time: 13:52:47
2023-07-12 21:44:32,298 semantic_segmentation INFO: Iters: 34160/50000 || Lr: 0.007108 || Task Loss: 0.0978 || KD Loss: 0.0207|| 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, 5:54:52 || Estimated Time: 13:52:16
2023-07-12 21:45:04,261 semantic_segmentation INFO: Iters: 34170/50000 || Lr: 0.007104 || Task Loss: 0.1006 || KD Loss: 0.0198|| 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, 5:55:24 || Estimated Time: 13:51:45
2023-07-12 21:45:36,229 semantic_segmentation INFO: Iters: 34180/50000 || Lr: 0.007100 || Task Loss: 0.0850 || KD Loss: 0.0265|| 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, 5:55:56 || Estimated Time: 13:51:13
2023-07-12 21:46:08,201 semantic_segmentation INFO: Iters: 34190/50000 || Lr: 0.007096 || Task Loss: 0.0841 || KD Loss: 0.0241|| 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, 5:56:28 || Estimated Time: 13:50:42
2023-07-12 21:46:40,155 semantic_segmentation INFO: Iters: 34200/50000 || Lr: 0.007092 || Task Loss: 0.0873 || 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, 5:57:00 || Estimated Time: 13:50:11
2023-07-12 21:47:12,155 semantic_segmentation INFO: Iters: 34210/50000 || Lr: 0.007088 || Task Loss: 0.1011 || KD Loss: 0.0224|| 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, 5:57:32 || Estimated Time: 13:49:39
2023-07-12 21:47:44,021 semantic_segmentation INFO: Iters: 34220/50000 || Lr: 0.007084 || Task Loss: 0.0971 || KD Loss: 0.0224|| 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, 5:58:04 || Estimated Time: 13:49:08
2023-07-12 21:48:16,114 semantic_segmentation INFO: Iters: 34230/50000 || Lr: 0.007080 || Task Loss: 0.0845 || KD Loss: 0.0223|| 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, 5:58:36 || Estimated Time: 13:48:37
2023-07-12 21:48:48,068 semantic_segmentation INFO: Iters: 34240/50000 || Lr: 0.007076 || Task Loss: 0.0941 || 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: 1 day, 5:59:08 || Estimated Time: 13:48:05
2023-07-12 21:49:20,214 semantic_segmentation INFO: Iters: 34250/50000 || Lr: 0.007072 || Task Loss: 0.1029 || KD Loss: 0.0231|| 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, 5:59:40 || Estimated Time: 13:47:34
2023-07-12 21:49:52,209 semantic_segmentation INFO: Iters: 34260/50000 || Lr: 0.007068 || Task Loss: 0.0922 || KD Loss: 0.0239|| 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, 6:00:12 || Estimated Time: 13:47:03
2023-07-12 21:50:24,279 semantic_segmentation INFO: Iters: 34270/50000 || Lr: 0.007064 || Task Loss: 0.0991 || KD Loss: 0.0227|| 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, 6:00:44 || Estimated Time: 13:46:32
2023-07-12 21:50:56,262 semantic_segmentation INFO: Iters: 34280/50000 || Lr: 0.007060 || Task Loss: 0.0838 || KD Loss: 0.0237|| 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, 6:01:16 || Estimated Time: 13:46:00
2023-07-12 21:51:28,407 semantic_segmentation INFO: Iters: 34290/50000 || Lr: 0.007056 || Task Loss: 0.0863 || 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: 1 day, 6:01:48 || Estimated Time: 13:45:29
2023-07-12 21:52:00,530 semantic_segmentation INFO: Iters: 34300/50000 || Lr: 0.007052 || Task Loss: 0.0897 || KD Loss: 0.0272|| 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, 6:02:20 || Estimated Time: 13:44:58
2023-07-12 21:52:32,569 semantic_segmentation INFO: Iters: 34310/50000 || Lr: 0.007048 || Task Loss: 0.0803 || KD Loss: 0.0218|| 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, 6:02:52 || Estimated Time: 13:44:27
2023-07-12 21:53:04,627 semantic_segmentation INFO: Iters: 34320/50000 || Lr: 0.007044 || Task Loss: 0.0931 || KD Loss: 0.0231|| 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, 6:03:24 || Estimated Time: 13:43:55
2023-07-12 21:53:36,636 semantic_segmentation INFO: Iters: 34330/50000 || Lr: 0.007040 || Task Loss: 0.0965 || KD Loss: 0.0252|| 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, 6:03:56 || Estimated Time: 13:43:24
2023-07-12 21:54:08,626 semantic_segmentation INFO: Iters: 34340/50000 || Lr: 0.007035 || Task Loss: 0.0973 || KD Loss: 0.0263|| 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, 6:04:28 || Estimated Time: 13:42:53
2023-07-12 21:54:40,536 semantic_segmentation INFO: Iters: 34350/50000 || Lr: 0.007031 || Task Loss: 0.0957 || KD Loss: 0.0231|| 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, 6:05:00 || Estimated Time: 13:42:21
2023-07-12 21:55:12,505 semantic_segmentation INFO: Iters: 34360/50000 || Lr: 0.007027 || Task Loss: 0.1044 || KD Loss: 0.0253|| 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, 6:05:32 || Estimated Time: 13:41:50
2023-07-12 21:55:44,435 semantic_segmentation INFO: Iters: 34370/50000 || Lr: 0.007023 || Task Loss: 0.0921 || KD Loss: 0.0246|| 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, 6:06:04 || Estimated Time: 13:41:19
2023-07-12 21:56:16,435 semantic_segmentation INFO: Iters: 34380/50000 || Lr: 0.007019 || Task Loss: 0.0962 || KD Loss: 0.0256|| 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, 6:06:36 || Estimated Time: 13:40:47
2023-07-12 21:56:48,519 semantic_segmentation INFO: Iters: 34390/50000 || Lr: 0.007015 || Task Loss: 0.1017 || KD Loss: 0.0299|| 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, 6:07:08 || Estimated Time: 13:40:16
2023-07-12 21:57:20,637 semantic_segmentation INFO: Iters: 34400/50000 || Lr: 0.007011 || Task Loss: 0.0920 || KD Loss: 0.0247|| 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, 6:07:40 || Estimated Time: 13:39:45
2023-07-12 21:57:20,741 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 21:57:20,937 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.735
2023-07-12 21:57:20,974 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-12 21:57:20,989 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.741
2023-07-12 21:57:21,002 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-12 21:57:21,014 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 21:57:21,026 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 21:57:21,039 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 21:57:21,051 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-12 21:57:21,063 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 21:57:21,075 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-12 21:57:21,088 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 21:57:21,100 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-12 21:57:21,112 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-12 21:57:21,124 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-12 21:57:21,136 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 21:57:21,152 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-12 21:57:21,164 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 21:57:21,182 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-12 21:57:21,199 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 21:57:21,212 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 21:57:21,226 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 21:57:21,239 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 21:57:21,251 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 21:57:21,263 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 21:57:21,275 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-12 21:57:21,288 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 21:57:21,300 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 21:57:21,312 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 21:57:21,325 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 21:57:21,337 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 21:57:21,349 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 21:57:21,365 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 21:57:21,378 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 21:57:21,390 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 21:57:21,408 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 21:57:21,426 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-12 21:57:21,441 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 21:57:21,454 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-12 21:57:21,466 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 21:57:21,478 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-12 21:57:21,490 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-12 21:57:21,503 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-12 21:57:21,515 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 21:57:21,527 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 21:57:21,542 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-12 21:57:21,555 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-12 21:57:21,567 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-12 21:57:21,579 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-12 21:57:21,591 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 21:57:21,604 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-12 21:57:21,622 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 21:57:21,639 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.748
2023-07-12 21:57:21,652 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-12 21:57:21,668 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 21:57:21,681 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.750
2023-07-12 21:57:21,693 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 21:57:21,705 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-12 21:57:21,717 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.752
2023-07-12 21:57:21,730 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.753
2023-07-12 21:57:21,742 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-12 21:57:21,754 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 21:57:21,766 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-12 21:57:21,779 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 21:57:21,796 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.756
2023-07-12 21:57:21,812 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-12 21:57:21,825 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.758
2023-07-12 21:57:21,842 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-12 21:57:21,858 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 21:57:21,870 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.760
2023-07-12 21:57:21,887 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-12 21:57:21,899 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-12 21:57:21,911 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 21:57:21,923 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 21:57:21,936 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 21:57:21,949 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-12 21:57:21,962 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 21:57:21,975 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 21:57:21,988 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 21:57:22,001 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 21:57:22,017 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 21:57:22,033 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 21:57:22,047 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 21:57:22,064 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-12 21:57:22,077 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 21:57:22,094 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 21:57:22,107 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 21:57:22,119 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 21:57:22,132 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.758
2023-07-12 21:57:22,145 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.757
2023-07-12 21:57:22,159 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.756
2023-07-12 21:57:22,172 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 21:57:22,185 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 21:57:22,198 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.946, mIoU: 0.755
2023-07-12 21:57:22,212 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.755
2023-07-12 21:57:22,231 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.756
2023-07-12 21:57:22,249 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.756
2023-07-12 21:57:22,263 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.756
2023-07-12 21:57:22,282 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.947, mIoU: 0.756
2023-07-12 21:57:22,301 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.947, mIoU: 0.756
2023-07-12 21:57:22,315 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.756
2023-07-12 21:57:22,327 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.756
2023-07-12 21:57:54,721 semantic_segmentation INFO: Iters: 34410/50000 || Lr: 0.007007 || Task Loss: 0.0890 || 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, 6:08:14 || Estimated Time: 13:39:14
2023-07-12 21:58:26,915 semantic_segmentation INFO: Iters: 34420/50000 || Lr: 0.007003 || Task Loss: 0.0900 || KD Loss: 0.0220|| 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, 6:08:47 || Estimated Time: 13:38:43
2023-07-12 21:58:59,038 semantic_segmentation INFO: Iters: 34430/50000 || Lr: 0.006999 || Task Loss: 0.0889 || KD Loss: 0.0257|| 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, 6:09:19 || Estimated Time: 13:38:12
2023-07-12 21:59:31,197 semantic_segmentation INFO: Iters: 34440/50000 || Lr: 0.006995 || Task Loss: 0.0826 || KD Loss: 0.0231|| 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, 6:09:51 || Estimated Time: 13:37:41
2023-07-12 22:00:03,366 semantic_segmentation INFO: Iters: 34450/50000 || Lr: 0.006991 || Task Loss: 0.0817 || KD Loss: 0.0223|| 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, 6:10:23 || Estimated Time: 13:37:09
2023-07-12 22:00:35,537 semantic_segmentation INFO: Iters: 34460/50000 || Lr: 0.006987 || Task Loss: 0.0939 || KD Loss: 0.0202|| 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, 6:10:55 || Estimated Time: 13:36:38
2023-07-12 22:01:07,733 semantic_segmentation INFO: Iters: 34470/50000 || Lr: 0.006983 || Task Loss: 0.0912 || KD Loss: 0.0231|| 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, 6:11:27 || Estimated Time: 13:36:07
2023-07-12 22:01:39,887 semantic_segmentation INFO: Iters: 34480/50000 || Lr: 0.006979 || Task Loss: 0.0904 || KD Loss: 0.0216|| 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, 6:12:00 || Estimated Time: 13:35:36
2023-07-12 22:02:12,100 semantic_segmentation INFO: Iters: 34490/50000 || Lr: 0.006975 || Task Loss: 0.0837 || KD Loss: 0.0254|| 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, 6:12:32 || Estimated Time: 13:35:04
2023-07-12 22:02:44,344 semantic_segmentation INFO: Iters: 34500/50000 || Lr: 0.006971 || Task Loss: 0.1042 || KD Loss: 0.0255|| 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, 6:13:04 || Estimated Time: 13:34:33
2023-07-12 22:03:16,622 semantic_segmentation INFO: Iters: 34510/50000 || Lr: 0.006967 || Task Loss: 0.1032 || KD Loss: 0.0270|| 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, 6:13:36 || Estimated Time: 13:34:02
2023-07-12 22:03:49,004 semantic_segmentation INFO: Iters: 34520/50000 || Lr: 0.006963 || Task Loss: 0.0851 || KD Loss: 0.0218|| 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, 6:14:09 || Estimated Time: 13:33:31
2023-07-12 22:04:21,496 semantic_segmentation INFO: Iters: 34530/50000 || Lr: 0.006959 || Task Loss: 0.0988 || KD Loss: 0.0254|| 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, 6:14:41 || Estimated Time: 13:33:00
2023-07-12 22:04:53,885 semantic_segmentation INFO: Iters: 34540/50000 || Lr: 0.006955 || Task Loss: 0.0953 || KD Loss: 0.0206|| 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: 1 day, 6:15:14 || Estimated Time: 13:32:29
2023-07-12 22:05:26,256 semantic_segmentation INFO: Iters: 34550/50000 || Lr: 0.006951 || Task Loss: 0.0969 || KD Loss: 0.0241|| 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, 6:15:46 || Estimated Time: 13:31:57
2023-07-12 22:05:58,628 semantic_segmentation INFO: Iters: 34560/50000 || Lr: 0.006946 || Task Loss: 0.0990 || KD Loss: 0.0258|| 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, 6:16:18 || Estimated Time: 13:31:26
2023-07-12 22:06:30,992 semantic_segmentation INFO: Iters: 34570/50000 || Lr: 0.006942 || Task Loss: 0.0973 || KD Loss: 0.0212|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0790|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:16:51 || Estimated Time: 13:30:55
2023-07-12 22:07:03,522 semantic_segmentation INFO: Iters: 34580/50000 || Lr: 0.006938 || Task Loss: 0.0915 || KD Loss: 0.0244|| 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, 6:17:23 || Estimated Time: 13:30:24
2023-07-12 22:07:35,938 semantic_segmentation INFO: Iters: 34590/50000 || Lr: 0.006934 || Task Loss: 0.0995 || KD Loss: 0.0226|| 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, 6:17:56 || Estimated Time: 13:29:53
2023-07-12 22:08:08,470 semantic_segmentation INFO: Iters: 34600/50000 || Lr: 0.006930 || Task Loss: 0.1037 || KD Loss: 0.0257|| 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, 6:18:28 || Estimated Time: 13:29:22
2023-07-12 22:08:40,954 semantic_segmentation INFO: Iters: 34610/50000 || Lr: 0.006926 || Task Loss: 0.0889 || KD Loss: 0.0221|| 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, 6:19:01 || Estimated Time: 13:28:51
2023-07-12 22:09:13,417 semantic_segmentation INFO: Iters: 34620/50000 || Lr: 0.006922 || Task Loss: 0.1013 || KD Loss: 0.0245|| 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, 6:19:33 || Estimated Time: 13:28:20
2023-07-12 22:09:45,824 semantic_segmentation INFO: Iters: 34630/50000 || Lr: 0.006918 || Task Loss: 0.0934 || KD Loss: 0.0239|| 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: 1 day, 6:20:06 || Estimated Time: 13:27:48
2023-07-12 22:10:18,352 semantic_segmentation INFO: Iters: 34640/50000 || Lr: 0.006914 || Task Loss: 0.1010 || 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: 1 day, 6:20:38 || Estimated Time: 13:27:17
2023-07-12 22:10:50,868 semantic_segmentation INFO: Iters: 34650/50000 || Lr: 0.006910 || Task Loss: 0.0887 || KD Loss: 0.0231|| 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, 6:21:11 || Estimated Time: 13:26:46
2023-07-12 22:11:23,498 semantic_segmentation INFO: Iters: 34660/50000 || Lr: 0.006906 || Task Loss: 0.0827 || KD Loss: 0.0241|| 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, 6:21:43 || Estimated Time: 13:26:15
2023-07-12 22:11:55,993 semantic_segmentation INFO: Iters: 34670/50000 || Lr: 0.006902 || Task Loss: 0.1189 || KD Loss: 0.0249|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0798|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:22:16 || Estimated Time: 13:25:44
2023-07-12 22:12:28,606 semantic_segmentation INFO: Iters: 34680/50000 || Lr: 0.006898 || Task Loss: 0.1040 || KD Loss: 0.0276|| 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, 6:22:48 || Estimated Time: 13:25:13
2023-07-12 22:13:01,167 semantic_segmentation INFO: Iters: 34690/50000 || Lr: 0.006894 || Task Loss: 0.1069 || KD Loss: 0.0303|| 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, 6:23:21 || Estimated Time: 13:24:42
2023-07-12 22:13:33,878 semantic_segmentation INFO: Iters: 34700/50000 || Lr: 0.006890 || Task Loss: 0.0863 || KD Loss: 0.0207|| 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, 6:23:54 || Estimated Time: 13:24:11
2023-07-12 22:14:06,503 semantic_segmentation INFO: Iters: 34710/50000 || Lr: 0.006886 || Task Loss: 0.0840 || KD Loss: 0.0247|| 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, 6:24:26 || Estimated Time: 13:23:40
2023-07-12 22:14:39,251 semantic_segmentation INFO: Iters: 34720/50000 || Lr: 0.006882 || Task Loss: 0.0964 || KD Loss: 0.0241|| 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, 6:24:59 || Estimated Time: 13:23:09
2023-07-12 22:15:12,194 semantic_segmentation INFO: Iters: 34730/50000 || Lr: 0.006878 || Task Loss: 0.0998 || KD Loss: 0.0238|| 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, 6:25:32 || Estimated Time: 13:22:38
2023-07-12 22:15:44,970 semantic_segmentation INFO: Iters: 34740/50000 || Lr: 0.006874 || Task Loss: 0.0865 || KD Loss: 0.0234|| 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, 6:26:05 || Estimated Time: 13:22:07
2023-07-12 22:16:17,763 semantic_segmentation INFO: Iters: 34750/50000 || Lr: 0.006870 || Task Loss: 0.0965 || KD Loss: 0.0233|| 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, 6:26:38 || Estimated Time: 13:21:36
2023-07-12 22:16:50,561 semantic_segmentation INFO: Iters: 34760/50000 || Lr: 0.006865 || Task Loss: 0.1032 || KD Loss: 0.0254|| 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, 6:27:10 || Estimated Time: 13:21:05
2023-07-12 22:17:23,304 semantic_segmentation INFO: Iters: 34770/50000 || Lr: 0.006861 || Task Loss: 0.0878 || KD Loss: 0.0255|| 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, 6:27:43 || Estimated Time: 13:20:34
2023-07-12 22:17:56,126 semantic_segmentation INFO: Iters: 34780/50000 || Lr: 0.006857 || Task Loss: 0.0944 || KD Loss: 0.0273|| 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, 6:28:16 || Estimated Time: 13:20:03
2023-07-12 22:18:28,888 semantic_segmentation INFO: Iters: 34790/50000 || Lr: 0.006853 || Task Loss: 0.1044 || KD Loss: 0.0222|| 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, 6:28:49 || Estimated Time: 13:19:32
2023-07-12 22:19:01,642 semantic_segmentation INFO: Iters: 34800/50000 || Lr: 0.006849 || Task Loss: 0.0855 || KD Loss: 0.0243|| 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, 6:29:21 || Estimated Time: 13:19:01
2023-07-12 22:19:34,414 semantic_segmentation INFO: Iters: 34810/50000 || Lr: 0.006845 || Task Loss: 0.0945 || KD Loss: 0.0271|| 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, 6:29:54 || Estimated Time: 13:18:30
2023-07-12 22:20:07,159 semantic_segmentation INFO: Iters: 34820/50000 || Lr: 0.006841 || Task Loss: 0.0912 || KD Loss: 0.0242|| 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, 6:30:27 || Estimated Time: 13:17:59
2023-07-12 22:20:39,953 semantic_segmentation INFO: Iters: 34830/50000 || Lr: 0.006837 || Task Loss: 0.0921 || KD Loss: 0.0225|| 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, 6:31:00 || Estimated Time: 13:17:28
2023-07-12 22:21:12,691 semantic_segmentation INFO: Iters: 34840/50000 || Lr: 0.006833 || Task Loss: 0.0889 || KD Loss: 0.0233|| 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, 6:31:32 || Estimated Time: 13:16:57
2023-07-12 22:21:45,481 semantic_segmentation INFO: Iters: 34850/50000 || Lr: 0.006829 || Task Loss: 0.0835 || KD Loss: 0.0255|| 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, 6:32:05 || Estimated Time: 13:16:26
2023-07-12 22:22:18,207 semantic_segmentation INFO: Iters: 34860/50000 || Lr: 0.006825 || Task Loss: 0.0867 || KD Loss: 0.0259|| 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, 6:32:38 || Estimated Time: 13:15:55
2023-07-12 22:22:51,024 semantic_segmentation INFO: Iters: 34870/50000 || Lr: 0.006821 || Task Loss: 0.0856 || KD Loss: 0.0230|| 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, 6:33:11 || Estimated Time: 13:15:24
2023-07-12 22:23:23,804 semantic_segmentation INFO: Iters: 34880/50000 || Lr: 0.006817 || Task Loss: 0.0926 || KD Loss: 0.0245|| 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, 6:33:44 || Estimated Time: 13:14:53
2023-07-12 22:23:56,541 semantic_segmentation INFO: Iters: 34890/50000 || Lr: 0.006813 || Task Loss: 0.0972 || KD Loss: 0.0214|| 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, 6:34:16 || Estimated Time: 13:14:22
2023-07-12 22:24:29,319 semantic_segmentation INFO: Iters: 34900/50000 || Lr: 0.006809 || Task Loss: 0.1059 || KD Loss: 0.0248|| 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, 6:34:49 || Estimated Time: 13:13:51
2023-07-12 22:25:02,091 semantic_segmentation INFO: Iters: 34910/50000 || Lr: 0.006805 || Task Loss: 0.0934 || KD Loss: 0.0248|| 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, 6:35:22 || Estimated Time: 13:13:20
2023-07-12 22:25:34,850 semantic_segmentation INFO: Iters: 34920/50000 || Lr: 0.006801 || Task Loss: 0.0996 || KD Loss: 0.0239|| 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, 6:35:55 || Estimated Time: 13:12:49
2023-07-12 22:26:07,575 semantic_segmentation INFO: Iters: 34930/50000 || Lr: 0.006796 || Task Loss: 0.0972 || KD Loss: 0.0240|| 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, 6:36:27 || Estimated Time: 13:12:18
2023-07-12 22:26:39,973 semantic_segmentation INFO: Iters: 34940/50000 || Lr: 0.006792 || Task Loss: 0.0848 || KD Loss: 0.0244|| 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, 6:37:00 || Estimated Time: 13:11:47
2023-07-12 22:27:12,479 semantic_segmentation INFO: Iters: 34950/50000 || Lr: 0.006788 || Task Loss: 0.1001 || KD Loss: 0.0232|| 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, 6:37:32 || Estimated Time: 13:11:16
2023-07-12 22:27:45,092 semantic_segmentation INFO: Iters: 34960/50000 || Lr: 0.006784 || Task Loss: 0.1065 || KD Loss: 0.0300|| 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, 6:38:05 || Estimated Time: 13:10:44
2023-07-12 22:28:17,793 semantic_segmentation INFO: Iters: 34970/50000 || Lr: 0.006780 || Task Loss: 0.0875 || KD Loss: 0.0214|| 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, 6:38:38 || Estimated Time: 13:10:13
2023-07-12 22:28:50,416 semantic_segmentation INFO: Iters: 34980/50000 || Lr: 0.006776 || Task Loss: 0.0869 || KD Loss: 0.0212|| 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, 6:39:10 || Estimated Time: 13:09:42
2023-07-12 22:29:22,994 semantic_segmentation INFO: Iters: 34990/50000 || Lr: 0.006772 || Task Loss: 0.0831 || KD Loss: 0.0206|| 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, 6:39:43 || Estimated Time: 13:09:11
2023-07-12 22:29:55,796 semantic_segmentation INFO: Iters: 35000/50000 || Lr: 0.006768 || Task Loss: 0.0873 || KD Loss: 0.0243|| 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, 6:40:16 || Estimated Time: 13:08:40
2023-07-12 22:30:28,498 semantic_segmentation INFO: Iters: 35010/50000 || Lr: 0.006764 || Task Loss: 0.0974 || KD Loss: 0.0244|| 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, 6:40:48 || Estimated Time: 13:08:09
2023-07-12 22:31:01,279 semantic_segmentation INFO: Iters: 35020/50000 || Lr: 0.006760 || Task Loss: 0.0952 || KD Loss: 0.0242|| 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, 6:41:21 || Estimated Time: 13:07:38
2023-07-12 22:31:34,064 semantic_segmentation INFO: Iters: 35030/50000 || Lr: 0.006756 || Task Loss: 0.1006 || KD Loss: 0.0274|| 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, 6:41:54 || Estimated Time: 13:07:07
2023-07-12 22:32:06,837 semantic_segmentation INFO: Iters: 35040/50000 || Lr: 0.006752 || Task Loss: 0.0953 || KD Loss: 0.0236|| 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, 6:42:27 || Estimated Time: 13:06:36
2023-07-12 22:32:39,598 semantic_segmentation INFO: Iters: 35050/50000 || Lr: 0.006748 || Task Loss: 0.0968 || KD Loss: 0.0202|| 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, 6:42:59 || Estimated Time: 13:06:05
2023-07-12 22:33:12,374 semantic_segmentation INFO: Iters: 35060/50000 || Lr: 0.006744 || Task Loss: 0.0942 || KD Loss: 0.0209|| 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, 6:43:32 || Estimated Time: 13:05:34
2023-07-12 22:33:45,159 semantic_segmentation INFO: Iters: 35070/50000 || Lr: 0.006740 || Task Loss: 0.0852 || KD Loss: 0.0220|| 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, 6:44:05 || Estimated Time: 13:05:03
2023-07-12 22:34:17,862 semantic_segmentation INFO: Iters: 35080/50000 || Lr: 0.006736 || Task Loss: 0.0911 || KD Loss: 0.0248|| 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, 6:44:38 || Estimated Time: 13:04:32
2023-07-12 22:34:50,372 semantic_segmentation INFO: Iters: 35090/50000 || Lr: 0.006732 || Task Loss: 0.0985 || KD Loss: 0.0224|| 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, 6:45:10 || Estimated Time: 13:04:01
2023-07-12 22:35:22,875 semantic_segmentation INFO: Iters: 35100/50000 || Lr: 0.006727 || Task Loss: 0.0958 || KD Loss: 0.0250|| 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, 6:45:43 || Estimated Time: 13:03:30
2023-07-12 22:35:55,491 semantic_segmentation INFO: Iters: 35110/50000 || Lr: 0.006723 || Task Loss: 0.1072 || KD Loss: 0.0224|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0727|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:46:15 || Estimated Time: 13:02:59
2023-07-12 22:36:27,995 semantic_segmentation INFO: Iters: 35120/50000 || Lr: 0.006719 || Task Loss: 0.0839 || KD Loss: 0.0215|| 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, 6:46:48 || Estimated Time: 13:02:27
2023-07-12 22:37:00,572 semantic_segmentation INFO: Iters: 35130/50000 || Lr: 0.006715 || Task Loss: 0.0842 || KD Loss: 0.0245|| 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, 6:47:20 || Estimated Time: 13:01:56
2023-07-12 22:37:33,215 semantic_segmentation INFO: Iters: 35140/50000 || Lr: 0.006711 || Task Loss: 0.0864 || KD Loss: 0.0226|| 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, 6:47:53 || Estimated Time: 13:01:25
2023-07-12 22:38:05,773 semantic_segmentation INFO: Iters: 35150/50000 || Lr: 0.006707 || Task Loss: 0.0945 || KD Loss: 0.0220|| 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, 6:48:26 || Estimated Time: 13:00:54
2023-07-12 22:38:38,424 semantic_segmentation INFO: Iters: 35160/50000 || Lr: 0.006703 || Task Loss: 0.1120 || KD Loss: 0.0274|| 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, 6:48:58 || Estimated Time: 13:00:23
2023-07-12 22:39:11,146 semantic_segmentation INFO: Iters: 35170/50000 || Lr: 0.006699 || Task Loss: 0.1018 || KD Loss: 0.0232|| 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, 6:49:31 || Estimated Time: 12:59:52
2023-07-12 22:39:43,810 semantic_segmentation INFO: Iters: 35180/50000 || Lr: 0.006695 || Task Loss: 0.0844 || KD Loss: 0.0212|| 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, 6:50:04 || Estimated Time: 12:59:21
2023-07-12 22:40:16,456 semantic_segmentation INFO: Iters: 35190/50000 || Lr: 0.006691 || Task Loss: 0.0933 || KD Loss: 0.0220|| 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, 6:50:36 || Estimated Time: 12:58:50
2023-07-12 22:40:48,857 semantic_segmentation INFO: Iters: 35200/50000 || Lr: 0.006687 || Task Loss: 0.0927 || KD Loss: 0.0248|| 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, 6:51:09 || Estimated Time: 12:58:19
2023-07-12 22:40:48,951 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 22:40:49,141 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.743
2023-07-12 22:40:49,165 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.743
2023-07-12 22:40:49,179 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.744
2023-07-12 22:40:49,193 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.739
2023-07-12 22:40:49,205 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-12 22:40:49,217 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-12 22:40:49,230 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.964, mIoU: 0.736
2023-07-12 22:40:49,242 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-12 22:40:49,254 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-12 22:40:49,267 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-12 22:40:49,279 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-12 22:40:49,292 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-12 22:40:49,305 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.962, mIoU: 0.741
2023-07-12 22:40:49,318 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.962, mIoU: 0.743
2023-07-12 22:40:49,331 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.962, mIoU: 0.744
2023-07-12 22:40:49,343 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.962, mIoU: 0.747
2023-07-12 22:40:49,361 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.748
2023-07-12 22:40:49,377 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.749
2023-07-12 22:40:49,396 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.748
2023-07-12 22:40:49,408 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-12 22:40:49,425 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-12 22:40:49,441 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 22:40:49,454 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 22:40:49,467 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 22:40:49,480 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 22:40:49,493 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 22:40:49,506 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 22:40:49,518 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-12 22:40:49,531 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 22:40:49,544 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-12 22:40:49,557 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-12 22:40:49,570 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-12 22:40:49,588 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.747
2023-07-12 22:40:49,605 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-12 22:40:49,618 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-12 22:40:49,636 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-12 22:40:49,649 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-12 22:40:49,662 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-12 22:40:49,676 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 22:40:49,690 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 22:40:49,703 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 22:40:49,717 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 22:40:49,730 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.958, mIoU: 0.746
2023-07-12 22:40:49,744 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.747
2023-07-12 22:40:49,758 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-12 22:40:49,777 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 22:40:49,797 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-12 22:40:49,815 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.751
2023-07-12 22:40:49,829 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.752
2023-07-12 22:40:49,846 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-12 22:40:49,865 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-12 22:40:49,879 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.753
2023-07-12 22:40:49,891 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.754
2023-07-12 22:40:49,904 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-12 22:40:49,917 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-12 22:40:49,930 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-12 22:40:49,943 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.756
2023-07-12 22:40:49,955 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 22:40:49,968 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-12 22:40:49,980 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-12 22:40:49,998 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.759
2023-07-12 22:40:50,013 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-12 22:40:50,027 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-12 22:40:50,045 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.761
2023-07-12 22:40:50,062 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-12 22:40:50,076 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.762
2023-07-12 22:40:50,090 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 22:40:50,104 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-12 22:40:50,118 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-12 22:40:50,131 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-12 22:40:50,146 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 22:40:50,160 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-12 22:40:50,173 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-12 22:40:50,187 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-12 22:40:50,207 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 22:40:50,225 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 22:40:50,239 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 22:40:50,258 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 22:40:50,271 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 22:40:50,284 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-12 22:40:50,297 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-12 22:40:50,313 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-12 22:40:50,327 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 22:40:50,339 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 22:40:50,352 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 22:40:50,365 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 22:40:50,377 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 22:40:50,389 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 22:40:50,401 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-12 22:40:50,419 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 22:40:50,437 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 22:40:50,452 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 22:40:50,466 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 22:40:50,484 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-12 22:40:50,498 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-12 22:40:50,512 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 22:40:50,525 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 22:40:50,538 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 22:40:50,552 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 22:40:50,565 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 22:40:50,579 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-12 22:41:23,368 semantic_segmentation INFO: Iters: 35210/50000 || Lr: 0.006683 || Task Loss: 0.1003 || KD Loss: 0.0273|| 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, 6:51:43 || Estimated Time: 12:57:48
2023-07-12 22:41:55,954 semantic_segmentation INFO: Iters: 35220/50000 || Lr: 0.006679 || Task Loss: 0.0947 || KD Loss: 0.0260|| 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, 6:52:16 || Estimated Time: 12:57:17
2023-07-12 22:42:28,606 semantic_segmentation INFO: Iters: 35230/50000 || Lr: 0.006675 || Task Loss: 0.0874 || KD Loss: 0.0269|| 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, 6:52:48 || Estimated Time: 12:56:46
2023-07-12 22:43:01,192 semantic_segmentation INFO: Iters: 35240/50000 || Lr: 0.006671 || Task Loss: 0.0870 || KD Loss: 0.0219|| 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, 6:53:21 || Estimated Time: 12:56:15
2023-07-12 22:43:33,908 semantic_segmentation INFO: Iters: 35250/50000 || Lr: 0.006666 || Task Loss: 0.0918 || KD Loss: 0.0293|| 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, 6:53:54 || Estimated Time: 12:55:44
2023-07-12 22:44:06,693 semantic_segmentation INFO: Iters: 35260/50000 || Lr: 0.006662 || Task Loss: 0.0993 || KD Loss: 0.0217|| 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, 6:54:26 || Estimated Time: 12:55:13
2023-07-12 22:44:39,494 semantic_segmentation INFO: Iters: 35270/50000 || Lr: 0.006658 || Task Loss: 0.1012 || KD Loss: 0.0225|| 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, 6:54:59 || Estimated Time: 12:54:42
2023-07-12 22:45:12,238 semantic_segmentation INFO: Iters: 35280/50000 || Lr: 0.006654 || Task Loss: 0.0938 || KD Loss: 0.0240|| 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, 6:55:32 || Estimated Time: 12:54:11
2023-07-12 22:45:45,028 semantic_segmentation INFO: Iters: 35290/50000 || Lr: 0.006650 || Task Loss: 0.0889 || KD Loss: 0.0239|| 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, 6:56:05 || Estimated Time: 12:53:40
2023-07-12 22:46:17,788 semantic_segmentation INFO: Iters: 35300/50000 || Lr: 0.006646 || Task Loss: 0.0948 || KD Loss: 0.0236|| 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, 6:56:38 || Estimated Time: 12:53:09
2023-07-12 22:46:50,525 semantic_segmentation INFO: Iters: 35310/50000 || Lr: 0.006642 || Task Loss: 0.0902 || KD Loss: 0.0259|| 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, 6:57:10 || Estimated Time: 12:52:38
2023-07-12 22:47:23,125 semantic_segmentation INFO: Iters: 35320/50000 || Lr: 0.006638 || Task Loss: 0.1068 || KD Loss: 0.0218|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0754|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 6:57:43 || Estimated Time: 12:52:06
2023-07-12 22:47:55,819 semantic_segmentation INFO: Iters: 35330/50000 || Lr: 0.006634 || Task Loss: 0.0882 || KD Loss: 0.0255|| 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, 6:58:16 || Estimated Time: 12:51:35
2023-07-12 22:48:28,428 semantic_segmentation INFO: Iters: 35340/50000 || Lr: 0.006630 || Task Loss: 0.0984 || KD Loss: 0.0235|| 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, 6:58:48 || Estimated Time: 12:51:04
2023-07-12 22:49:01,171 semantic_segmentation INFO: Iters: 35350/50000 || Lr: 0.006626 || Task Loss: 0.1027 || KD Loss: 0.0305|| 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, 6:59:21 || Estimated Time: 12:50:33
2023-07-12 22:49:33,980 semantic_segmentation INFO: Iters: 35360/50000 || Lr: 0.006622 || Task Loss: 0.0891 || KD Loss: 0.0247|| 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, 6:59:54 || Estimated Time: 12:50:02
2023-07-12 22:50:06,722 semantic_segmentation INFO: Iters: 35370/50000 || Lr: 0.006618 || Task Loss: 0.0906 || KD Loss: 0.0257|| 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, 7:00:26 || Estimated Time: 12:49:31
2023-07-12 22:50:39,500 semantic_segmentation INFO: Iters: 35380/50000 || Lr: 0.006614 || Task Loss: 0.0902 || KD Loss: 0.0212|| 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, 7:00:59 || Estimated Time: 12:49:00
2023-07-12 22:51:12,268 semantic_segmentation INFO: Iters: 35390/50000 || Lr: 0.006610 || Task Loss: 0.0852 || KD Loss: 0.0219|| 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, 7:01:32 || Estimated Time: 12:48:29
2023-07-12 22:51:45,034 semantic_segmentation INFO: Iters: 35400/50000 || Lr: 0.006605 || Task Loss: 0.1056 || KD Loss: 0.0261|| 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, 7:02:05 || Estimated Time: 12:47:58
2023-07-12 22:52:17,808 semantic_segmentation INFO: Iters: 35410/50000 || Lr: 0.006601 || Task Loss: 0.0906 || KD Loss: 0.0209|| 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, 7:02:38 || Estimated Time: 12:47:27
2023-07-12 22:52:50,533 semantic_segmentation INFO: Iters: 35420/50000 || Lr: 0.006597 || Task Loss: 0.1057 || KD Loss: 0.0240|| 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, 7:03:10 || Estimated Time: 12:46:56
2023-07-12 22:53:23,030 semantic_segmentation INFO: Iters: 35430/50000 || Lr: 0.006593 || Task Loss: 0.1001 || KD Loss: 0.0259|| 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, 7:03:43 || Estimated Time: 12:46:25
2023-07-12 22:53:55,498 semantic_segmentation INFO: Iters: 35440/50000 || Lr: 0.006589 || Task Loss: 0.0954 || KD Loss: 0.0232|| 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, 7:04:15 || Estimated Time: 12:45:53
2023-07-12 22:54:28,002 semantic_segmentation INFO: Iters: 35450/50000 || Lr: 0.006585 || Task Loss: 0.0754 || KD Loss: 0.0247|| 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, 7:04:48 || Estimated Time: 12:45:22
2023-07-12 22:55:00,614 semantic_segmentation INFO: Iters: 35460/50000 || Lr: 0.006581 || Task Loss: 0.0947 || KD Loss: 0.0272|| 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, 7:05:20 || Estimated Time: 12:44:51
2023-07-12 22:55:33,243 semantic_segmentation INFO: Iters: 35470/50000 || Lr: 0.006577 || Task Loss: 0.0887 || KD Loss: 0.0273|| 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, 7:05:53 || Estimated Time: 12:44:20
2023-07-12 22:56:05,896 semantic_segmentation INFO: Iters: 35480/50000 || Lr: 0.006573 || Task Loss: 0.1050 || KD Loss: 0.0231|| 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, 7:06:26 || Estimated Time: 12:43:49
2023-07-12 22:56:38,600 semantic_segmentation INFO: Iters: 35490/50000 || Lr: 0.006569 || Task Loss: 0.0767 || KD Loss: 0.0231|| 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, 7:06:58 || Estimated Time: 12:43:18
2023-07-12 22:57:11,272 semantic_segmentation INFO: Iters: 35500/50000 || Lr: 0.006565 || Task Loss: 0.0939 || KD Loss: 0.0239|| 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, 7:07:31 || Estimated Time: 12:42:47
2023-07-12 22:57:44,021 semantic_segmentation INFO: Iters: 35510/50000 || Lr: 0.006561 || Task Loss: 0.0982 || KD Loss: 0.0253|| 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, 7:08:04 || Estimated Time: 12:42:16
2023-07-12 22:58:16,811 semantic_segmentation INFO: Iters: 35520/50000 || Lr: 0.006557 || Task Loss: 0.0795 || KD Loss: 0.0215|| 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, 7:08:37 || Estimated Time: 12:41:44
2023-07-12 22:58:49,500 semantic_segmentation INFO: Iters: 35530/50000 || Lr: 0.006552 || Task Loss: 0.0787 || KD Loss: 0.0231|| 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, 7:09:09 || Estimated Time: 12:41:13
2023-07-12 22:59:22,096 semantic_segmentation INFO: Iters: 35540/50000 || Lr: 0.006548 || Task Loss: 0.0841 || KD Loss: 0.0227|| 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, 7:09:42 || Estimated Time: 12:40:42
2023-07-12 22:59:54,623 semantic_segmentation INFO: Iters: 35550/50000 || Lr: 0.006544 || Task Loss: 0.0951 || KD Loss: 0.0228|| 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, 7:10:14 || Estimated Time: 12:40:11
2023-07-12 23:00:27,183 semantic_segmentation INFO: Iters: 35560/50000 || Lr: 0.006540 || Task Loss: 0.0989 || 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, 7:10:47 || Estimated Time: 12:39:40
2023-07-12 23:00:59,721 semantic_segmentation INFO: Iters: 35570/50000 || Lr: 0.006536 || Task Loss: 0.0930 || KD Loss: 0.0263|| 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, 7:11:19 || Estimated Time: 12:39:09
2023-07-12 23:01:32,309 semantic_segmentation INFO: Iters: 35580/50000 || Lr: 0.006532 || Task Loss: 0.0921 || KD Loss: 0.0231|| 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, 7:11:52 || Estimated Time: 12:38:38
2023-07-12 23:02:04,910 semantic_segmentation INFO: Iters: 35590/50000 || Lr: 0.006528 || Task Loss: 0.0964 || KD Loss: 0.0248|| 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, 7:12:25 || Estimated Time: 12:38:06
2023-07-12 23:02:37,674 semantic_segmentation INFO: Iters: 35600/50000 || Lr: 0.006524 || Task Loss: 0.0929 || KD Loss: 0.0244|| 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, 7:12:57 || Estimated Time: 12:37:35
2023-07-12 23:03:10,416 semantic_segmentation INFO: Iters: 35610/50000 || Lr: 0.006520 || Task Loss: 0.0751 || KD Loss: 0.0211|| 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, 7:13:30 || Estimated Time: 12:37:04
2023-07-12 23:03:43,032 semantic_segmentation INFO: Iters: 35620/50000 || Lr: 0.006516 || Task Loss: 0.1076 || KD Loss: 0.0301|| 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, 7:14:03 || Estimated Time: 12:36:33
2023-07-12 23:04:15,812 semantic_segmentation INFO: Iters: 35630/50000 || Lr: 0.006512 || Task Loss: 0.0927 || KD Loss: 0.0209|| 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, 7:14:36 || Estimated Time: 12:36:02
2023-07-12 23:04:48,500 semantic_segmentation INFO: Iters: 35640/50000 || Lr: 0.006508 || Task Loss: 0.0935 || KD Loss: 0.0240|| 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, 7:15:08 || Estimated Time: 12:35:31
2023-07-12 23:05:21,074 semantic_segmentation INFO: Iters: 35650/50000 || Lr: 0.006504 || Task Loss: 0.0987 || KD Loss: 0.0252|| 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, 7:15:41 || Estimated Time: 12:35:00
2023-07-12 23:05:53,483 semantic_segmentation INFO: Iters: 35660/50000 || Lr: 0.006499 || Task Loss: 0.0887 || KD Loss: 0.0199|| 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, 7:16:13 || Estimated Time: 12:34:28
2023-07-12 23:06:26,219 semantic_segmentation INFO: Iters: 35670/50000 || Lr: 0.006495 || Task Loss: 0.0969 || KD Loss: 0.0315|| 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, 7:16:46 || Estimated Time: 12:33:57
2023-07-12 23:06:59,015 semantic_segmentation INFO: Iters: 35680/50000 || Lr: 0.006491 || Task Loss: 0.0977 || KD Loss: 0.0255|| 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, 7:17:19 || Estimated Time: 12:33:26
2023-07-12 23:07:31,805 semantic_segmentation INFO: Iters: 35690/50000 || Lr: 0.006487 || Task Loss: 0.0976 || KD Loss: 0.0208|| 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, 7:17:52 || Estimated Time: 12:32:55
2023-07-12 23:08:04,577 semantic_segmentation INFO: Iters: 35700/50000 || Lr: 0.006483 || Task Loss: 0.0809 || KD Loss: 0.0247|| 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, 7:18:24 || Estimated Time: 12:32:24
2023-07-12 23:08:37,333 semantic_segmentation INFO: Iters: 35710/50000 || Lr: 0.006479 || Task Loss: 0.0895 || KD Loss: 0.0219|| 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, 7:18:57 || Estimated Time: 12:31:53
2023-07-12 23:09:10,106 semantic_segmentation INFO: Iters: 35720/50000 || Lr: 0.006475 || Task Loss: 0.0933 || KD Loss: 0.0270|| 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, 7:19:30 || Estimated Time: 12:31:22
2023-07-12 23:09:43,305 semantic_segmentation INFO: Iters: 35730/50000 || Lr: 0.006471 || Task Loss: 0.0966 || KD Loss: 0.0253|| 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, 7:20:03 || Estimated Time: 12:30:51
2023-07-12 23:10:16,044 semantic_segmentation INFO: Iters: 35740/50000 || Lr: 0.006467 || Task Loss: 0.1023 || KD Loss: 0.0235|| 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, 7:20:36 || Estimated Time: 12:30:20
2023-07-12 23:10:48,831 semantic_segmentation INFO: Iters: 35750/50000 || Lr: 0.006463 || Task Loss: 0.0821 || KD Loss: 0.0235|| 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, 7:21:09 || Estimated Time: 12:29:49
2023-07-12 23:11:21,592 semantic_segmentation INFO: Iters: 35760/50000 || Lr: 0.006459 || Task Loss: 0.0934 || KD Loss: 0.0275|| 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, 7:21:41 || Estimated Time: 12:29:18
2023-07-12 23:11:54,193 semantic_segmentation INFO: Iters: 35770/50000 || Lr: 0.006455 || Task Loss: 0.0854 || KD Loss: 0.0240|| 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, 7:22:14 || Estimated Time: 12:28:47
2023-07-12 23:12:26,706 semantic_segmentation INFO: Iters: 35780/50000 || Lr: 0.006451 || Task Loss: 0.0929 || KD Loss: 0.0217|| 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, 7:22:46 || Estimated Time: 12:28:15
2023-07-12 23:12:59,204 semantic_segmentation INFO: Iters: 35790/50000 || Lr: 0.006446 || Task Loss: 0.0871 || KD Loss: 0.0272|| 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, 7:23:19 || Estimated Time: 12:27:44
2023-07-12 23:13:31,633 semantic_segmentation INFO: Iters: 35800/50000 || Lr: 0.006442 || Task Loss: 0.0913 || KD Loss: 0.0226|| 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, 7:23:51 || Estimated Time: 12:27:13
2023-07-12 23:14:04,173 semantic_segmentation INFO: Iters: 35810/50000 || Lr: 0.006438 || Task Loss: 0.1076 || KD Loss: 0.0232|| 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, 7:24:24 || Estimated Time: 12:26:42
2023-07-12 23:14:36,723 semantic_segmentation INFO: Iters: 35820/50000 || Lr: 0.006434 || Task Loss: 0.0774 || KD Loss: 0.0220|| 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, 7:24:56 || Estimated Time: 12:26:11
2023-07-12 23:15:09,330 semantic_segmentation INFO: Iters: 35830/50000 || Lr: 0.006430 || Task Loss: 0.0885 || KD Loss: 0.0254|| 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, 7:25:29 || Estimated Time: 12:25:39
2023-07-12 23:15:42,058 semantic_segmentation INFO: Iters: 35840/50000 || Lr: 0.006426 || Task Loss: 0.1003 || KD Loss: 0.0254|| 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, 7:26:02 || Estimated Time: 12:25:08
2023-07-12 23:16:14,652 semantic_segmentation INFO: Iters: 35850/50000 || Lr: 0.006422 || Task Loss: 0.0881 || KD Loss: 0.0234|| 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, 7:26:34 || Estimated Time: 12:24:37
2023-07-12 23:16:47,414 semantic_segmentation INFO: Iters: 35860/50000 || Lr: 0.006418 || Task Loss: 0.1052 || KD Loss: 0.0214|| 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, 7:27:07 || Estimated Time: 12:24:06
2023-07-12 23:17:20,170 semantic_segmentation INFO: Iters: 35870/50000 || Lr: 0.006414 || Task Loss: 0.0879 || KD Loss: 0.0214|| 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, 7:27:40 || Estimated Time: 12:23:35
2023-07-12 23:17:52,932 semantic_segmentation INFO: Iters: 35880/50000 || Lr: 0.006410 || Task Loss: 0.0954 || KD Loss: 0.0241|| 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, 7:28:13 || Estimated Time: 12:23:04
2023-07-12 23:18:25,532 semantic_segmentation INFO: Iters: 35890/50000 || Lr: 0.006406 || Task Loss: 0.0983 || KD Loss: 0.0264|| 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, 7:28:45 || Estimated Time: 12:22:33
2023-07-12 23:18:58,233 semantic_segmentation INFO: Iters: 35900/50000 || Lr: 0.006402 || Task Loss: 0.1028 || 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, 7:29:18 || Estimated Time: 12:22:01
2023-07-12 23:19:30,761 semantic_segmentation INFO: Iters: 35910/50000 || Lr: 0.006397 || Task Loss: 0.0768 || KD Loss: 0.0265|| 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, 7:29:51 || Estimated Time: 12:21:30
2023-07-12 23:20:03,377 semantic_segmentation INFO: Iters: 35920/50000 || Lr: 0.006393 || Task Loss: 0.0987 || KD Loss: 0.0263|| 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, 7:30:23 || Estimated Time: 12:20:59
2023-07-12 23:20:36,067 semantic_segmentation INFO: Iters: 35930/50000 || Lr: 0.006389 || Task Loss: 0.0892 || KD Loss: 0.0273|| 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, 7:30:56 || Estimated Time: 12:20:28
2023-07-12 23:21:08,688 semantic_segmentation INFO: Iters: 35940/50000 || Lr: 0.006385 || Task Loss: 0.0942 || KD Loss: 0.0237|| 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, 7:31:28 || Estimated Time: 12:19:57
2023-07-12 23:21:41,292 semantic_segmentation INFO: Iters: 35950/50000 || Lr: 0.006381 || Task Loss: 0.0880 || KD Loss: 0.0227|| 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, 7:32:01 || Estimated Time: 12:19:26
2023-07-12 23:22:14,019 semantic_segmentation INFO: Iters: 35960/50000 || Lr: 0.006377 || Task Loss: 0.0884 || 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, 7:32:34 || Estimated Time: 12:18:55
2023-07-12 23:22:46,751 semantic_segmentation INFO: Iters: 35970/50000 || Lr: 0.006373 || Task Loss: 0.1021 || KD Loss: 0.0271|| 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, 7:33:07 || Estimated Time: 12:18:23
2023-07-12 23:23:19,416 semantic_segmentation INFO: Iters: 35980/50000 || Lr: 0.006369 || Task Loss: 0.0976 || KD Loss: 0.0297|| 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, 7:33:39 || Estimated Time: 12:17:52
2023-07-12 23:23:52,173 semantic_segmentation INFO: Iters: 35990/50000 || Lr: 0.006365 || Task Loss: 0.0905 || KD Loss: 0.0208|| 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, 7:34:12 || Estimated Time: 12:17:21
2023-07-12 23:24:24,862 semantic_segmentation INFO: Iters: 36000/50000 || Lr: 0.006361 || Task Loss: 0.0909 || KD Loss: 0.0240|| 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, 7:34:45 || Estimated Time: 12:16:50
2023-07-12 23:24:24,964 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-12 23:24:25,169 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.740
2023-07-12 23:24:25,191 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-12 23:24:25,204 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-12 23:24:25,216 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-12 23:24:25,228 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-12 23:24:25,240 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 23:24:25,253 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-12 23:24:25,266 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.734
2023-07-12 23:24:25,278 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-12 23:24:25,290 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-12 23:24:25,302 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-12 23:24:25,314 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-12 23:24:25,326 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.737
2023-07-12 23:24:25,339 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-12 23:24:25,351 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-12 23:24:25,363 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 23:24:25,375 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-12 23:24:25,388 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-12 23:24:25,404 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-12 23:24:25,420 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 23:24:25,436 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 23:24:25,453 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 23:24:25,465 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 23:24:25,477 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 23:24:25,489 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-12 23:24:25,502 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 23:24:25,514 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 23:24:25,526 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-12 23:24:25,538 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-12 23:24:25,550 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-12 23:24:25,562 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-12 23:24:25,574 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 23:24:25,591 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-12 23:24:25,604 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 23:24:25,620 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-12 23:24:25,632 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-12 23:24:25,650 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 23:24:25,666 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 23:24:25,679 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 23:24:25,691 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-12 23:24:25,702 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-12 23:24:25,714 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-12 23:24:25,727 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-12 23:24:25,739 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 23:24:25,751 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-12 23:24:25,763 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-12 23:24:25,775 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-12 23:24:25,787 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 23:24:25,802 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-12 23:24:25,815 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-12 23:24:25,832 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-12 23:24:25,848 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-12 23:24:25,860 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-12 23:24:25,878 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 23:24:25,893 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-12 23:24:25,906 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-12 23:24:25,918 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 23:24:25,930 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-12 23:24:25,942 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-12 23:24:25,954 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-12 23:24:25,966 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-12 23:24:25,978 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 23:24:25,990 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-12 23:24:26,002 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-12 23:24:26,014 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 23:24:26,027 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-12 23:24:26,044 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-12 23:24:26,061 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-12 23:24:26,073 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-12 23:24:26,090 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 23:24:26,102 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-12 23:24:26,114 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-12 23:24:26,126 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 23:24:26,138 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 23:24:26,151 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 23:24:26,163 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 23:24:26,176 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 23:24:26,188 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 23:24:26,200 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-12 23:24:26,216 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 23:24:26,229 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 23:24:26,250 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-12 23:24:26,263 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-12 23:24:26,280 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 23:24:26,296 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 23:24:26,308 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 23:24:26,320 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-12 23:24:26,332 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 23:24:26,344 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-12 23:24:26,357 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 23:24:26,370 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 23:24:26,383 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 23:24:26,396 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-12 23:24:26,409 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 23:24:26,425 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 23:24:26,438 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 23:24:26,457 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 23:24:26,474 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-12 23:24:26,489 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-12 23:24:26,504 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 23:24:26,517 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-12 23:24:59,473 semantic_segmentation INFO: Iters: 36010/50000 || Lr: 0.006357 || Task Loss: 0.0940 || KD Loss: 0.0271|| 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, 7:35:19 || Estimated Time: 12:16:20
2023-07-12 23:25:31,896 semantic_segmentation INFO: Iters: 36020/50000 || Lr: 0.006352 || Task Loss: 0.0912 || KD Loss: 0.0223|| 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, 7:35:52 || Estimated Time: 12:15:48
2023-07-12 23:26:04,417 semantic_segmentation INFO: Iters: 36030/50000 || Lr: 0.006348 || Task Loss: 0.0866 || KD Loss: 0.0212|| 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, 7:36:24 || Estimated Time: 12:15:17
2023-07-12 23:26:37,000 semantic_segmentation INFO: Iters: 36040/50000 || Lr: 0.006344 || Task Loss: 0.0797 || KD Loss: 0.0232|| 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, 7:36:57 || Estimated Time: 12:14:46
2023-07-12 23:27:09,594 semantic_segmentation INFO: Iters: 36050/50000 || Lr: 0.006340 || Task Loss: 0.0997 || KD Loss: 0.0311|| 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, 7:37:29 || Estimated Time: 12:14:15
2023-07-12 23:27:42,171 semantic_segmentation INFO: Iters: 36060/50000 || Lr: 0.006336 || Task Loss: 0.0934 || KD Loss: 0.0209|| 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, 7:38:02 || Estimated Time: 12:13:44
2023-07-12 23:28:14,838 semantic_segmentation INFO: Iters: 36070/50000 || Lr: 0.006332 || Task Loss: 0.1006 || KD Loss: 0.0245|| 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, 7:38:35 || Estimated Time: 12:13:12
2023-07-12 23:28:47,501 semantic_segmentation INFO: Iters: 36080/50000 || Lr: 0.006328 || Task Loss: 0.1037 || KD Loss: 0.0282|| 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, 7:39:07 || Estimated Time: 12:12:41
2023-07-12 23:29:20,256 semantic_segmentation INFO: Iters: 36090/50000 || Lr: 0.006324 || Task Loss: 0.0971 || KD Loss: 0.0248|| 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, 7:39:40 || Estimated Time: 12:12:10
2023-07-12 23:29:52,994 semantic_segmentation INFO: Iters: 36100/50000 || Lr: 0.006320 || Task Loss: 0.1049 || KD Loss: 0.0269|| 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, 7:40:13 || Estimated Time: 12:11:39
2023-07-12 23:30:25,804 semantic_segmentation INFO: Iters: 36110/50000 || Lr: 0.006316 || Task Loss: 0.0997 || KD Loss: 0.0283|| 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, 7:40:46 || Estimated Time: 12:11:08
2023-07-12 23:30:58,546 semantic_segmentation INFO: Iters: 36120/50000 || Lr: 0.006312 || Task Loss: 0.0904 || KD Loss: 0.0231|| 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, 7:41:18 || Estimated Time: 12:10:37
2023-07-12 23:31:31,159 semantic_segmentation INFO: Iters: 36130/50000 || Lr: 0.006307 || Task Loss: 0.0985 || KD Loss: 0.0248|| 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, 7:41:51 || Estimated Time: 12:10:05
2023-07-12 23:32:03,734 semantic_segmentation INFO: Iters: 36140/50000 || Lr: 0.006303 || Task Loss: 0.0839 || KD Loss: 0.0215|| 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, 7:42:23 || Estimated Time: 12:09:34
2023-07-12 23:32:36,350 semantic_segmentation INFO: Iters: 36150/50000 || Lr: 0.006299 || Task Loss: 0.0874 || KD Loss: 0.0227|| 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, 7:42:56 || Estimated Time: 12:09:03
2023-07-12 23:33:08,974 semantic_segmentation INFO: Iters: 36160/50000 || Lr: 0.006295 || Task Loss: 0.0992 || KD Loss: 0.0224|| 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, 7:43:29 || Estimated Time: 12:08:32
2023-07-12 23:33:41,617 semantic_segmentation INFO: Iters: 36170/50000 || Lr: 0.006291 || Task Loss: 0.0874 || KD Loss: 0.0198|| 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, 7:44:01 || Estimated Time: 12:08:01
2023-07-12 23:34:14,389 semantic_segmentation INFO: Iters: 36180/50000 || Lr: 0.006287 || Task Loss: 0.0927 || KD Loss: 0.0217|| 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, 7:44:34 || Estimated Time: 12:07:30
2023-07-12 23:34:47,101 semantic_segmentation INFO: Iters: 36190/50000 || Lr: 0.006283 || Task Loss: 0.1072 || KD Loss: 0.0221|| 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, 7:45:07 || Estimated Time: 12:06:58
2023-07-12 23:35:19,921 semantic_segmentation INFO: Iters: 36200/50000 || Lr: 0.006279 || Task Loss: 0.0801 || KD Loss: 0.0229|| 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, 7:45:40 || Estimated Time: 12:06:27
2023-07-12 23:35:52,669 semantic_segmentation INFO: Iters: 36210/50000 || Lr: 0.006275 || Task Loss: 0.0905 || KD Loss: 0.0217|| 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, 7:46:12 || Estimated Time: 12:05:56
2023-07-12 23:36:25,465 semantic_segmentation INFO: Iters: 36220/50000 || Lr: 0.006271 || Task Loss: 0.0998 || KD Loss: 0.0244|| 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, 7:46:45 || Estimated Time: 12:05:25
2023-07-12 23:36:58,409 semantic_segmentation INFO: Iters: 36230/50000 || Lr: 0.006267 || Task Loss: 0.0964 || KD Loss: 0.0215|| 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, 7:47:18 || Estimated Time: 12:04:54
2023-07-12 23:37:31,145 semantic_segmentation INFO: Iters: 36240/50000 || Lr: 0.006262 || Task Loss: 0.0986 || KD Loss: 0.0226|| 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, 7:47:51 || Estimated Time: 12:04:23
2023-07-12 23:38:03,737 semantic_segmentation INFO: Iters: 36250/50000 || Lr: 0.006258 || Task Loss: 0.1015 || KD Loss: 0.0231|| 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, 7:48:23 || Estimated Time: 12:03:52
2023-07-12 23:38:36,291 semantic_segmentation INFO: Iters: 36260/50000 || Lr: 0.006254 || Task Loss: 0.0862 || KD Loss: 0.0280|| 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, 7:48:56 || Estimated Time: 12:03:20
2023-07-12 23:39:08,876 semantic_segmentation INFO: Iters: 36270/50000 || Lr: 0.006250 || Task Loss: 0.0997 || KD Loss: 0.0281|| 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, 7:49:29 || Estimated Time: 12:02:49
2023-07-12 23:39:41,348 semantic_segmentation INFO: Iters: 36280/50000 || Lr: 0.006246 || Task Loss: 0.0918 || KD Loss: 0.0245|| 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, 7:50:01 || Estimated Time: 12:02:18
2023-07-12 23:40:13,995 semantic_segmentation INFO: Iters: 36290/50000 || Lr: 0.006242 || Task Loss: 0.1005 || KD Loss: 0.0232|| 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, 7:50:34 || Estimated Time: 12:01:47
2023-07-12 23:40:46,615 semantic_segmentation INFO: Iters: 36300/50000 || Lr: 0.006238 || Task Loss: 0.0940 || KD Loss: 0.0221|| 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, 7:51:06 || Estimated Time: 12:01:16
2023-07-12 23:41:19,320 semantic_segmentation INFO: Iters: 36310/50000 || Lr: 0.006234 || Task Loss: 0.0933 || KD Loss: 0.0215|| 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, 7:51:39 || Estimated Time: 12:00:44
2023-07-12 23:41:52,098 semantic_segmentation INFO: Iters: 36320/50000 || Lr: 0.006230 || Task Loss: 0.0892 || 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, 7:52:12 || Estimated Time: 12:00:13
2023-07-12 23:42:24,851 semantic_segmentation INFO: Iters: 36330/50000 || Lr: 0.006226 || Task Loss: 0.1012 || KD Loss: 0.0215|| 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, 7:52:45 || Estimated Time: 11:59:42
2023-07-12 23:42:57,644 semantic_segmentation INFO: Iters: 36340/50000 || Lr: 0.006221 || Task Loss: 0.0945 || KD Loss: 0.0235|| 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, 7:53:17 || Estimated Time: 11:59:11
2023-07-12 23:43:30,407 semantic_segmentation INFO: Iters: 36350/50000 || Lr: 0.006217 || Task Loss: 0.0997 || KD Loss: 0.0245|| 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, 7:53:50 || Estimated Time: 11:58:40
2023-07-12 23:44:03,103 semantic_segmentation INFO: Iters: 36360/50000 || Lr: 0.006213 || Task Loss: 0.0959 || KD Loss: 0.0231|| 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, 7:54:23 || Estimated Time: 11:58:09
2023-07-12 23:44:35,521 semantic_segmentation INFO: Iters: 36370/50000 || Lr: 0.006209 || Task Loss: 0.0906 || KD Loss: 0.0212|| 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, 7:54:55 || Estimated Time: 11:57:37
2023-07-12 23:45:08,187 semantic_segmentation INFO: Iters: 36380/50000 || Lr: 0.006205 || Task Loss: 0.1015 || KD Loss: 0.0222|| 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, 7:55:28 || Estimated Time: 11:57:06
2023-07-12 23:45:40,848 semantic_segmentation INFO: Iters: 36390/50000 || Lr: 0.006201 || Task Loss: 0.1006 || KD Loss: 0.0223|| 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, 7:56:01 || Estimated Time: 11:56:35
2023-07-12 23:46:13,614 semantic_segmentation INFO: Iters: 36400/50000 || Lr: 0.006197 || Task Loss: 0.0892 || KD Loss: 0.0250|| 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, 7:56:33 || Estimated Time: 11:56:04
2023-07-12 23:46:46,365 semantic_segmentation INFO: Iters: 36410/50000 || Lr: 0.006193 || Task Loss: 0.1268 || KD Loss: 0.0247|| 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, 7:57:06 || Estimated Time: 11:55:33
2023-07-12 23:47:19,141 semantic_segmentation INFO: Iters: 36420/50000 || Lr: 0.006189 || Task Loss: 0.0953 || KD Loss: 0.0254|| 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: 1 day, 7:57:39 || Estimated Time: 11:55:02
2023-07-12 23:47:51,917 semantic_segmentation INFO: Iters: 36430/50000 || Lr: 0.006185 || Task Loss: 0.0997 || KD Loss: 0.0239|| 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, 7:58:12 || Estimated Time: 11:54:30
2023-07-12 23:48:24,711 semantic_segmentation INFO: Iters: 36440/50000 || Lr: 0.006180 || Task Loss: 0.0955 || KD Loss: 0.0228|| 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, 7:58:44 || Estimated Time: 11:53:59
2023-07-12 23:48:57,463 semantic_segmentation INFO: Iters: 36450/50000 || Lr: 0.006176 || Task Loss: 0.0892 || KD Loss: 0.0282|| 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, 7:59:17 || Estimated Time: 11:53:28
2023-07-12 23:49:30,208 semantic_segmentation INFO: Iters: 36460/50000 || Lr: 0.006172 || Task Loss: 0.1026 || KD Loss: 0.0253|| 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, 7:59:50 || Estimated Time: 11:52:57
2023-07-12 23:50:02,782 semantic_segmentation INFO: Iters: 36470/50000 || Lr: 0.006168 || Task Loss: 0.0927 || KD Loss: 0.0203|| 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, 8:00:23 || Estimated Time: 11:52:26
2023-07-12 23:50:35,350 semantic_segmentation INFO: Iters: 36480/50000 || Lr: 0.006164 || Task Loss: 0.0804 || KD Loss: 0.0214|| 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, 8:00:55 || Estimated Time: 11:51:54
2023-07-12 23:51:07,903 semantic_segmentation INFO: Iters: 36490/50000 || Lr: 0.006160 || Task Loss: 0.0963 || KD Loss: 0.0263|| 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, 8:01:28 || Estimated Time: 11:51:23
2023-07-12 23:51:40,459 semantic_segmentation INFO: Iters: 36500/50000 || Lr: 0.006156 || Task Loss: 0.0926 || KD Loss: 0.0260|| 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, 8:02:00 || Estimated Time: 11:50:52
2023-07-12 23:52:13,089 semantic_segmentation INFO: Iters: 36510/50000 || Lr: 0.006152 || Task Loss: 0.0964 || KD Loss: 0.0223|| 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: 1 day, 8:02:33 || Estimated Time: 11:50:21
2023-07-12 23:52:45,773 semantic_segmentation INFO: Iters: 36520/50000 || Lr: 0.006148 || Task Loss: 0.0938 || KD Loss: 0.0227|| 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, 8:03:06 || Estimated Time: 11:49:50
2023-07-12 23:53:18,519 semantic_segmentation INFO: Iters: 36530/50000 || Lr: 0.006144 || Task Loss: 0.0968 || KD Loss: 0.0210|| 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, 8:03:38 || Estimated Time: 11:49:18
2023-07-12 23:53:51,342 semantic_segmentation INFO: Iters: 36540/50000 || Lr: 0.006139 || Task Loss: 0.0879 || KD Loss: 0.0211|| 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, 8:04:11 || Estimated Time: 11:48:47
2023-07-12 23:54:24,106 semantic_segmentation INFO: Iters: 36550/50000 || Lr: 0.006135 || Task Loss: 0.0932 || KD Loss: 0.0219|| 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, 8:04:44 || Estimated Time: 11:48:16
2023-07-12 23:54:56,809 semantic_segmentation INFO: Iters: 36560/50000 || Lr: 0.006131 || Task Loss: 0.1071 || KD Loss: 0.0236|| 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, 8:05:17 || Estimated Time: 11:47:45
2023-07-12 23:55:29,446 semantic_segmentation INFO: Iters: 36570/50000 || Lr: 0.006127 || Task Loss: 0.0839 || KD Loss: 0.0249|| 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, 8:05:49 || Estimated Time: 11:47:14
2023-07-12 23:56:02,149 semantic_segmentation INFO: Iters: 36580/50000 || Lr: 0.006123 || Task Loss: 0.0850 || KD Loss: 0.0216|| 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, 8:06:22 || Estimated Time: 11:46:42
2023-07-12 23:56:34,988 semantic_segmentation INFO: Iters: 36590/50000 || Lr: 0.006119 || Task Loss: 0.0903 || KD Loss: 0.0278|| 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, 8:06:55 || Estimated Time: 11:46:11
2023-07-12 23:57:07,536 semantic_segmentation INFO: Iters: 36600/50000 || Lr: 0.006115 || Task Loss: 0.0842 || KD Loss: 0.0217|| 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, 8:07:27 || Estimated Time: 11:45:40
2023-07-12 23:57:40,278 semantic_segmentation INFO: Iters: 36610/50000 || Lr: 0.006111 || Task Loss: 0.0914 || KD Loss: 0.0224|| 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, 8:08:00 || Estimated Time: 11:45:09
2023-07-12 23:58:13,027 semantic_segmentation INFO: Iters: 36620/50000 || Lr: 0.006107 || Task Loss: 0.0929 || KD Loss: 0.0248|| 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, 8:08:33 || Estimated Time: 11:44:38
2023-07-12 23:58:45,791 semantic_segmentation INFO: Iters: 36630/50000 || Lr: 0.006102 || Task Loss: 0.0983 || KD Loss: 0.0274|| 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, 8:09:06 || Estimated Time: 11:44:07
2023-07-12 23:59:18,589 semantic_segmentation INFO: Iters: 36640/50000 || Lr: 0.006098 || Task Loss: 0.0908 || KD Loss: 0.0222|| 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, 8:09:38 || Estimated Time: 11:43:35
2023-07-12 23:59:51,390 semantic_segmentation INFO: Iters: 36650/50000 || Lr: 0.006094 || Task Loss: 0.0865 || KD Loss: 0.0212|| 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, 8:10:11 || Estimated Time: 11:43:04
2023-07-13 00:00:24,143 semantic_segmentation INFO: Iters: 36660/50000 || Lr: 0.006090 || Task Loss: 0.0944 || KD Loss: 0.0223|| 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, 8:10:44 || Estimated Time: 11:42:33
2023-07-13 00:00:56,880 semantic_segmentation INFO: Iters: 36670/50000 || Lr: 0.006086 || Task Loss: 0.0992 || KD Loss: 0.0251|| 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, 8:11:17 || Estimated Time: 11:42:02
2023-07-13 00:01:29,675 semantic_segmentation INFO: Iters: 36680/50000 || Lr: 0.006082 || Task Loss: 0.0913 || KD Loss: 0.0237|| 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, 8:11:49 || Estimated Time: 11:41:31
2023-07-13 00:02:02,422 semantic_segmentation INFO: Iters: 36690/50000 || Lr: 0.006078 || Task Loss: 0.0852 || KD Loss: 0.0229|| 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, 8:12:22 || Estimated Time: 11:41:00
2023-07-13 00:02:34,998 semantic_segmentation INFO: Iters: 36700/50000 || Lr: 0.006074 || Task Loss: 0.0931 || KD Loss: 0.0237|| 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, 8:12:55 || Estimated Time: 11:40:28
2023-07-13 00:03:07,558 semantic_segmentation INFO: Iters: 36710/50000 || Lr: 0.006070 || Task Loss: 0.1071 || KD Loss: 0.0260|| 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, 8:13:27 || Estimated Time: 11:39:57
2023-07-13 00:03:40,046 semantic_segmentation INFO: Iters: 36720/50000 || Lr: 0.006065 || Task Loss: 0.1125 || KD Loss: 0.0223|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0740|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:14:00 || Estimated Time: 11:39:26
2023-07-13 00:04:12,473 semantic_segmentation INFO: Iters: 36730/50000 || Lr: 0.006061 || Task Loss: 0.0868 || KD Loss: 0.0237|| 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, 8:14:32 || Estimated Time: 11:38:54
2023-07-13 00:04:45,017 semantic_segmentation INFO: Iters: 36740/50000 || Lr: 0.006057 || Task Loss: 0.0915 || KD Loss: 0.0245|| 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, 8:15:05 || Estimated Time: 11:38:23
2023-07-13 00:05:17,616 semantic_segmentation INFO: Iters: 36750/50000 || Lr: 0.006053 || Task Loss: 0.1034 || KD Loss: 0.0262|| 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, 8:15:37 || Estimated Time: 11:37:52
2023-07-13 00:05:50,177 semantic_segmentation INFO: Iters: 36760/50000 || Lr: 0.006049 || Task Loss: 0.0959 || KD Loss: 0.0243|| 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, 8:16:10 || Estimated Time: 11:37:21
2023-07-13 00:06:22,923 semantic_segmentation INFO: Iters: 36770/50000 || Lr: 0.006045 || Task Loss: 0.0882 || KD Loss: 0.0218|| 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, 8:16:43 || Estimated Time: 11:36:50
2023-07-13 00:06:55,669 semantic_segmentation INFO: Iters: 36780/50000 || Lr: 0.006041 || Task Loss: 0.0870 || KD Loss: 0.0187|| 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, 8:17:15 || Estimated Time: 11:36:18
2023-07-13 00:07:28,316 semantic_segmentation INFO: Iters: 36790/50000 || Lr: 0.006037 || Task Loss: 0.0854 || KD Loss: 0.0221|| 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, 8:17:48 || Estimated Time: 11:35:47
2023-07-13 00:08:01,014 semantic_segmentation INFO: Iters: 36800/50000 || Lr: 0.006033 || Task Loss: 0.0889 || KD Loss: 0.0256|| 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, 8:18:21 || Estimated Time: 11:35:16
2023-07-13 00:08:01,097 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 00:08:01,285 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.738
2023-07-13 00:08:01,305 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.739
2023-07-13 00:08:01,319 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 00:08:01,332 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 00:08:01,344 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-13 00:08:01,357 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-13 00:08:01,372 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-13 00:08:01,385 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-13 00:08:01,398 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-13 00:08:01,411 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-13 00:08:01,424 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-13 00:08:01,438 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.732
2023-07-13 00:08:01,451 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-13 00:08:01,464 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.737
2023-07-13 00:08:01,478 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-13 00:08:01,492 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-13 00:08:01,508 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-13 00:08:01,525 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-13 00:08:01,546 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-13 00:08:01,559 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-13 00:08:01,577 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 00:08:01,590 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-13 00:08:01,603 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-13 00:08:01,617 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-13 00:08:01,630 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.735
2023-07-13 00:08:01,643 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.736
2023-07-13 00:08:01,656 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-13 00:08:01,669 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.737
2023-07-13 00:08:01,683 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.738
2023-07-13 00:08:01,696 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 00:08:01,714 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 00:08:01,727 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 00:08:01,746 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 00:08:01,764 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-13 00:08:01,782 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-13 00:08:01,796 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 00:08:01,809 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-13 00:08:01,822 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-13 00:08:01,835 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.739
2023-07-13 00:08:01,848 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-13 00:08:01,864 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.741
2023-07-13 00:08:01,877 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-13 00:08:01,890 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-13 00:08:01,903 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-13 00:08:01,916 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-13 00:08:01,934 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-13 00:08:01,951 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-13 00:08:01,965 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-13 00:08:01,985 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 00:08:02,004 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 00:08:02,018 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 00:08:02,031 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 00:08:02,044 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-13 00:08:02,057 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 00:08:02,070 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 00:08:02,083 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 00:08:02,096 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 00:08:02,109 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-13 00:08:02,122 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 00:08:02,138 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 00:08:02,152 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 00:08:02,171 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 00:08:02,190 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 00:08:02,207 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 00:08:02,221 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-13 00:08:02,234 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-13 00:08:02,247 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-13 00:08:02,260 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 00:08:02,273 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 00:08:02,287 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 00:08:02,300 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 00:08:02,313 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 00:08:02,326 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 00:08:02,339 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 00:08:02,358 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 00:08:02,374 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 00:08:02,391 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 00:08:02,404 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-13 00:08:02,423 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-13 00:08:02,437 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 00:08:02,450 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 00:08:02,463 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 00:08:02,476 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 00:08:02,490 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 00:08:02,504 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 00:08:02,519 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 00:08:02,532 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 00:08:02,547 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 00:08:02,561 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 00:08:02,580 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 00:08:02,599 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 00:08:02,615 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 00:08:02,629 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 00:08:02,642 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 00:08:02,655 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:08:02,668 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:08:02,681 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:08:02,694 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:08:02,707 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 00:08:02,719 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 00:08:02,732 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 00:08:35,597 semantic_segmentation INFO: Iters: 36810/50000 || Lr: 0.006028 || Task Loss: 0.0991 || KD Loss: 0.0229|| 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, 8:18:55 || Estimated Time: 11:34:45
2023-07-13 00:09:08,338 semantic_segmentation INFO: Iters: 36820/50000 || Lr: 0.006024 || Task Loss: 0.1060 || KD Loss: 0.0267|| 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, 8:19:28 || Estimated Time: 11:34:14
2023-07-13 00:09:40,969 semantic_segmentation INFO: Iters: 36830/50000 || Lr: 0.006020 || Task Loss: 0.0902 || KD Loss: 0.0229|| 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, 8:20:01 || Estimated Time: 11:33:43
2023-07-13 00:10:13,488 semantic_segmentation INFO: Iters: 36840/50000 || Lr: 0.006016 || Task Loss: 0.0984 || KD Loss: 0.0248|| 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, 8:20:33 || Estimated Time: 11:33:12
2023-07-13 00:10:45,994 semantic_segmentation INFO: Iters: 36850/50000 || Lr: 0.006012 || Task Loss: 0.0760 || KD Loss: 0.0189|| 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, 8:21:06 || Estimated Time: 11:32:40
2023-07-13 00:11:18,590 semantic_segmentation INFO: Iters: 36860/50000 || Lr: 0.006008 || Task Loss: 0.1010 || KD Loss: 0.0265|| 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, 8:21:38 || Estimated Time: 11:32:09
2023-07-13 00:11:51,194 semantic_segmentation INFO: Iters: 36870/50000 || Lr: 0.006004 || Task Loss: 0.0938 || KD Loss: 0.0212|| 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, 8:22:11 || Estimated Time: 11:31:38
2023-07-13 00:12:23,941 semantic_segmentation INFO: Iters: 36880/50000 || Lr: 0.006000 || Task Loss: 0.0862 || KD Loss: 0.0231|| 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, 8:22:44 || Estimated Time: 11:31:07
2023-07-13 00:12:56,547 semantic_segmentation INFO: Iters: 36890/50000 || Lr: 0.005996 || Task Loss: 0.1070 || KD Loss: 0.0262|| 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, 8:23:16 || Estimated Time: 11:30:35
2023-07-13 00:13:29,317 semantic_segmentation INFO: Iters: 36900/50000 || Lr: 0.005991 || Task Loss: 0.0930 || KD Loss: 0.0250|| 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, 8:23:49 || Estimated Time: 11:30:04
2023-07-13 00:14:02,085 semantic_segmentation INFO: Iters: 36910/50000 || Lr: 0.005987 || Task Loss: 0.0970 || KD Loss: 0.0282|| 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, 8:24:22 || Estimated Time: 11:29:33
2023-07-13 00:14:34,870 semantic_segmentation INFO: Iters: 36920/50000 || Lr: 0.005983 || Task Loss: 0.0863 || KD Loss: 0.0246|| 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, 8:24:55 || Estimated Time: 11:29:02
2023-07-13 00:15:07,637 semantic_segmentation INFO: Iters: 36930/50000 || Lr: 0.005979 || Task Loss: 0.1036 || KD Loss: 0.0220|| 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, 8:25:27 || Estimated Time: 11:28:31
2023-07-13 00:15:40,367 semantic_segmentation INFO: Iters: 36940/50000 || Lr: 0.005975 || Task Loss: 0.0833 || KD Loss: 0.0201|| 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, 8:26:00 || Estimated Time: 11:27:59
2023-07-13 00:16:12,935 semantic_segmentation INFO: Iters: 36950/50000 || Lr: 0.005971 || Task Loss: 0.0911 || KD Loss: 0.0225|| 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, 8:26:33 || Estimated Time: 11:27:28
2023-07-13 00:16:45,481 semantic_segmentation INFO: Iters: 36960/50000 || Lr: 0.005967 || Task Loss: 0.0965 || KD Loss: 0.0260|| 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, 8:27:05 || Estimated Time: 11:26:57
2023-07-13 00:17:17,977 semantic_segmentation INFO: Iters: 36970/50000 || Lr: 0.005963 || Task Loss: 0.0968 || KD Loss: 0.0284|| 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, 8:27:38 || Estimated Time: 11:26:26
2023-07-13 00:17:50,452 semantic_segmentation INFO: Iters: 36980/50000 || Lr: 0.005958 || Task Loss: 0.0900 || KD Loss: 0.0244|| 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, 8:28:10 || Estimated Time: 11:25:54
2023-07-13 00:18:22,946 semantic_segmentation INFO: Iters: 36990/50000 || Lr: 0.005954 || Task Loss: 0.0879 || KD Loss: 0.0242|| 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, 8:28:43 || Estimated Time: 11:25:23
2023-07-13 00:18:55,550 semantic_segmentation INFO: Iters: 37000/50000 || Lr: 0.005950 || Task Loss: 0.0870 || 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, 8:29:15 || Estimated Time: 11:24:52
2023-07-13 00:19:28,312 semantic_segmentation INFO: Iters: 37010/50000 || Lr: 0.005946 || Task Loss: 0.1029 || KD Loss: 0.0231|| 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, 8:29:48 || Estimated Time: 11:24:20
2023-07-13 00:20:01,035 semantic_segmentation INFO: Iters: 37020/50000 || Lr: 0.005942 || Task Loss: 0.1035 || KD Loss: 0.0218|| 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: 1 day, 8:30:21 || Estimated Time: 11:23:49
2023-07-13 00:20:33,739 semantic_segmentation INFO: Iters: 37030/50000 || Lr: 0.005938 || Task Loss: 0.1075 || KD Loss: 0.0323|| 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, 8:30:54 || Estimated Time: 11:23:18
2023-07-13 00:21:06,428 semantic_segmentation INFO: Iters: 37040/50000 || Lr: 0.005934 || Task Loss: 0.0966 || KD Loss: 0.0251|| 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, 8:31:26 || Estimated Time: 11:22:47
2023-07-13 00:21:39,202 semantic_segmentation INFO: Iters: 37050/50000 || Lr: 0.005930 || Task Loss: 0.0734 || KD Loss: 0.0217|| 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, 8:31:59 || Estimated Time: 11:22:16
2023-07-13 00:22:11,967 semantic_segmentation INFO: Iters: 37060/50000 || Lr: 0.005926 || Task Loss: 0.0805 || KD Loss: 0.0234|| 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, 8:32:32 || Estimated Time: 11:21:44
2023-07-13 00:22:44,741 semantic_segmentation INFO: Iters: 37070/50000 || Lr: 0.005921 || Task Loss: 0.0840 || KD Loss: 0.0210|| 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, 8:33:05 || Estimated Time: 11:21:13
2023-07-13 00:23:17,341 semantic_segmentation INFO: Iters: 37080/50000 || Lr: 0.005917 || Task Loss: 0.0965 || KD Loss: 0.0254|| 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, 8:33:37 || Estimated Time: 11:20:42
2023-07-13 00:23:49,835 semantic_segmentation INFO: Iters: 37090/50000 || Lr: 0.005913 || Task Loss: 0.0837 || KD Loss: 0.0201|| 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, 8:34:10 || Estimated Time: 11:20:11
2023-07-13 00:24:22,376 semantic_segmentation INFO: Iters: 37100/50000 || Lr: 0.005909 || Task Loss: 0.0925 || KD Loss: 0.0234|| 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, 8:34:42 || Estimated Time: 11:19:39
2023-07-13 00:24:54,857 semantic_segmentation INFO: Iters: 37110/50000 || Lr: 0.005905 || Task Loss: 0.1009 || KD Loss: 0.0240|| 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, 8:35:15 || Estimated Time: 11:19:08
2023-07-13 00:25:27,495 semantic_segmentation INFO: Iters: 37120/50000 || Lr: 0.005901 || Task Loss: 0.0848 || KD Loss: 0.0266|| 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, 8:35:47 || Estimated Time: 11:18:37
2023-07-13 00:26:00,188 semantic_segmentation INFO: Iters: 37130/50000 || Lr: 0.005897 || Task Loss: 0.1038 || KD Loss: 0.0282|| 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, 8:36:20 || Estimated Time: 11:18:06
2023-07-13 00:26:32,864 semantic_segmentation INFO: Iters: 37140/50000 || Lr: 0.005893 || Task Loss: 0.1069 || KD Loss: 0.0252|| 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, 8:36:53 || Estimated Time: 11:17:34
2023-07-13 00:27:05,643 semantic_segmentation INFO: Iters: 37150/50000 || Lr: 0.005888 || Task Loss: 0.1030 || KD Loss: 0.0222|| 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, 8:37:25 || Estimated Time: 11:17:03
2023-07-13 00:27:38,328 semantic_segmentation INFO: Iters: 37160/50000 || Lr: 0.005884 || Task Loss: 0.0867 || KD Loss: 0.0220|| 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, 8:37:58 || Estimated Time: 11:16:32
2023-07-13 00:28:11,019 semantic_segmentation INFO: Iters: 37170/50000 || Lr: 0.005880 || Task Loss: 0.0976 || KD Loss: 0.0230|| 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: 1 day, 8:38:31 || Estimated Time: 11:16:01
2023-07-13 00:28:43,751 semantic_segmentation INFO: Iters: 37180/50000 || Lr: 0.005876 || Task Loss: 0.0955 || KD Loss: 0.0247|| 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, 8:39:04 || Estimated Time: 11:15:29
2023-07-13 00:29:16,500 semantic_segmentation INFO: Iters: 37190/50000 || Lr: 0.005872 || Task Loss: 0.0957 || KD Loss: 0.0206|| 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, 8:39:36 || Estimated Time: 11:14:58
2023-07-13 00:29:49,097 semantic_segmentation INFO: Iters: 37200/50000 || Lr: 0.005868 || Task Loss: 0.0967 || KD Loss: 0.0245|| 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, 8:40:09 || Estimated Time: 11:14:27
2023-07-13 00:30:21,608 semantic_segmentation INFO: Iters: 37210/50000 || Lr: 0.005864 || Task Loss: 0.0920 || KD Loss: 0.0245|| 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, 8:40:41 || Estimated Time: 11:13:56
2023-07-13 00:30:54,059 semantic_segmentation INFO: Iters: 37220/50000 || Lr: 0.005860 || Task Loss: 0.0757 || KD Loss: 0.0214|| 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, 8:41:14 || Estimated Time: 11:13:24
2023-07-13 00:31:26,586 semantic_segmentation INFO: Iters: 37230/50000 || Lr: 0.005855 || Task Loss: 0.0911 || KD Loss: 0.0281|| 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, 8:41:46 || Estimated Time: 11:12:53
2023-07-13 00:31:59,205 semantic_segmentation INFO: Iters: 37240/50000 || Lr: 0.005851 || Task Loss: 0.0819 || KD Loss: 0.0229|| 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, 8:42:19 || Estimated Time: 11:12:22
2023-07-13 00:32:31,932 semantic_segmentation INFO: Iters: 37250/50000 || Lr: 0.005847 || Task Loss: 0.1018 || KD Loss: 0.0232|| 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, 8:42:52 || Estimated Time: 11:11:50
2023-07-13 00:33:04,687 semantic_segmentation INFO: Iters: 37260/50000 || Lr: 0.005843 || Task Loss: 0.0745 || KD Loss: 0.0199|| 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, 8:43:24 || Estimated Time: 11:11:19
2023-07-13 00:33:37,424 semantic_segmentation INFO: Iters: 37270/50000 || Lr: 0.005839 || Task Loss: 0.0801 || KD Loss: 0.0228|| 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, 8:43:57 || Estimated Time: 11:10:48
2023-07-13 00:34:10,247 semantic_segmentation INFO: Iters: 37280/50000 || Lr: 0.005835 || Task Loss: 0.0914 || KD Loss: 0.0270|| 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, 8:44:30 || Estimated Time: 11:10:17
2023-07-13 00:34:42,977 semantic_segmentation INFO: Iters: 37290/50000 || Lr: 0.005831 || Task Loss: 0.1070 || KD Loss: 0.0241|| 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, 8:45:03 || Estimated Time: 11:09:46
2023-07-13 00:35:15,773 semantic_segmentation INFO: Iters: 37300/50000 || Lr: 0.005827 || Task Loss: 0.0850 || KD Loss: 0.0247|| 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, 8:45:36 || Estimated Time: 11:09:14
2023-07-13 00:35:48,534 semantic_segmentation INFO: Iters: 37310/50000 || Lr: 0.005822 || Task Loss: 0.0890 || KD Loss: 0.0223|| 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, 8:46:08 || Estimated Time: 11:08:43
2023-07-13 00:36:21,217 semantic_segmentation INFO: Iters: 37320/50000 || Lr: 0.005818 || Task Loss: 0.0899 || KD Loss: 0.0295|| 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, 8:46:41 || Estimated Time: 11:08:12
2023-07-13 00:36:53,807 semantic_segmentation INFO: Iters: 37330/50000 || Lr: 0.005814 || Task Loss: 0.1016 || KD Loss: 0.0281|| 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, 8:47:14 || Estimated Time: 11:07:41
2023-07-13 00:37:26,373 semantic_segmentation INFO: Iters: 37340/50000 || Lr: 0.005810 || Task Loss: 0.0811 || KD Loss: 0.0239|| 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, 8:47:46 || Estimated Time: 11:07:09
2023-07-13 00:37:58,780 semantic_segmentation INFO: Iters: 37350/50000 || Lr: 0.005806 || Task Loss: 0.0948 || KD Loss: 0.0243|| 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, 8:48:19 || Estimated Time: 11:06:38
2023-07-13 00:38:31,330 semantic_segmentation INFO: Iters: 37360/50000 || Lr: 0.005802 || Task Loss: 0.0940 || KD Loss: 0.0249|| 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, 8:48:51 || Estimated Time: 11:06:07
2023-07-13 00:39:03,940 semantic_segmentation INFO: Iters: 37370/50000 || Lr: 0.005798 || Task Loss: 0.0935 || KD Loss: 0.0243|| 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, 8:49:24 || Estimated Time: 11:05:35
2023-07-13 00:39:36,613 semantic_segmentation INFO: Iters: 37380/50000 || Lr: 0.005794 || Task Loss: 0.1170 || 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, 8:49:56 || Estimated Time: 11:05:04
2023-07-13 00:40:09,258 semantic_segmentation INFO: Iters: 37390/50000 || Lr: 0.005789 || Task Loss: 0.0876 || KD Loss: 0.0240|| 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, 8:50:29 || Estimated Time: 11:04:33
2023-07-13 00:40:41,969 semantic_segmentation INFO: Iters: 37400/50000 || Lr: 0.005785 || Task Loss: 0.0928 || KD Loss: 0.0234|| 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, 8:51:02 || Estimated Time: 11:04:01
2023-07-13 00:41:14,577 semantic_segmentation INFO: Iters: 37410/50000 || Lr: 0.005781 || Task Loss: 0.0773 || KD Loss: 0.0203|| 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, 8:51:34 || Estimated Time: 11:03:30
2023-07-13 00:41:47,375 semantic_segmentation INFO: Iters: 37420/50000 || Lr: 0.005777 || Task Loss: 0.1023 || KD Loss: 0.0270|| 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, 8:52:07 || Estimated Time: 11:02:59
2023-07-13 00:42:20,093 semantic_segmentation INFO: Iters: 37430/50000 || Lr: 0.005773 || Task Loss: 0.0919 || KD Loss: 0.0224|| 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, 8:52:40 || Estimated Time: 11:02:28
2023-07-13 00:42:52,701 semantic_segmentation INFO: Iters: 37440/50000 || Lr: 0.005769 || Task Loss: 0.0854 || KD Loss: 0.0224|| 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, 8:53:12 || Estimated Time: 11:01:56
2023-07-13 00:43:25,254 semantic_segmentation INFO: Iters: 37450/50000 || Lr: 0.005765 || Task Loss: 0.0849 || KD Loss: 0.0242|| 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, 8:53:45 || Estimated Time: 11:01:25
2023-07-13 00:43:57,770 semantic_segmentation INFO: Iters: 37460/50000 || Lr: 0.005760 || Task Loss: 0.0974 || KD Loss: 0.0223|| 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, 8:54:18 || Estimated Time: 11:00:54
2023-07-13 00:44:30,185 semantic_segmentation INFO: Iters: 37470/50000 || Lr: 0.005756 || Task Loss: 0.0968 || KD Loss: 0.0243|| 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, 8:54:50 || Estimated Time: 11:00:22
2023-07-13 00:45:02,922 semantic_segmentation INFO: Iters: 37480/50000 || Lr: 0.005752 || Task Loss: 0.1022 || KD Loss: 0.0213|| 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, 8:55:23 || Estimated Time: 10:59:51
2023-07-13 00:45:35,525 semantic_segmentation INFO: Iters: 37490/50000 || Lr: 0.005748 || Task Loss: 0.1032 || KD Loss: 0.0225|| 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, 8:55:55 || Estimated Time: 10:59:20
2023-07-13 00:46:08,073 semantic_segmentation INFO: Iters: 37500/50000 || Lr: 0.005744 || Task Loss: 0.0847 || KD Loss: 0.0230|| 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, 8:56:28 || Estimated Time: 10:58:49
2023-07-13 00:46:40,797 semantic_segmentation INFO: Iters: 37510/50000 || Lr: 0.005740 || Task Loss: 0.0894 || KD Loss: 0.0209|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0790|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:57:01 || Estimated Time: 10:58:17
2023-07-13 00:47:13,530 semantic_segmentation INFO: Iters: 37520/50000 || Lr: 0.005736 || Task Loss: 0.0967 || KD Loss: 0.0218|| 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, 8:57:33 || Estimated Time: 10:57:46
2023-07-13 00:47:46,347 semantic_segmentation INFO: Iters: 37530/50000 || Lr: 0.005731 || Task Loss: 0.1047 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0790|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 8:58:06 || Estimated Time: 10:57:15
2023-07-13 00:48:19,148 semantic_segmentation INFO: Iters: 37540/50000 || Lr: 0.005727 || Task Loss: 0.1017 || KD Loss: 0.0247|| 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, 8:58:39 || Estimated Time: 10:56:44
2023-07-13 00:48:51,880 semantic_segmentation INFO: Iters: 37550/50000 || Lr: 0.005723 || Task Loss: 0.0903 || KD Loss: 0.0224|| 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, 8:59:12 || Estimated Time: 10:56:12
2023-07-13 00:49:24,433 semantic_segmentation INFO: Iters: 37560/50000 || Lr: 0.005719 || Task Loss: 0.0829 || KD Loss: 0.0203|| 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, 8:59:44 || Estimated Time: 10:55:41
2023-07-13 00:49:57,003 semantic_segmentation INFO: Iters: 37570/50000 || Lr: 0.005715 || Task Loss: 0.0920 || KD Loss: 0.0232|| 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, 9:00:17 || Estimated Time: 10:55:10
2023-07-13 00:50:29,537 semantic_segmentation INFO: Iters: 37580/50000 || Lr: 0.005711 || Task Loss: 0.0985 || KD Loss: 0.0270|| 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, 9:00:49 || Estimated Time: 10:54:38
2023-07-13 00:51:02,126 semantic_segmentation INFO: Iters: 37590/50000 || Lr: 0.005707 || Task Loss: 0.0916 || KD Loss: 0.0224|| 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, 9:01:22 || Estimated Time: 10:54:07
2023-07-13 00:51:34,746 semantic_segmentation INFO: Iters: 37600/50000 || Lr: 0.005703 || Task Loss: 0.0825 || KD Loss: 0.0238|| 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, 9:01:55 || Estimated Time: 10:53:36
2023-07-13 00:51:34,848 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 00:51:35,049 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.740
2023-07-13 00:51:35,066 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.741
2023-07-13 00:51:35,080 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-13 00:51:35,093 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 00:51:35,107 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-13 00:51:35,121 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-13 00:51:35,134 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-13 00:51:35,147 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-13 00:51:35,161 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-13 00:51:35,174 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-13 00:51:35,187 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-13 00:51:35,200 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-13 00:51:35,213 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-13 00:51:35,226 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-13 00:51:35,239 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 00:51:35,251 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 00:51:35,267 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.744
2023-07-13 00:51:35,287 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 00:51:35,307 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 00:51:35,321 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 00:51:35,340 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 00:51:35,360 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-13 00:51:35,374 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 00:51:35,388 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-13 00:51:35,402 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-13 00:51:35,415 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 00:51:35,429 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 00:51:35,442 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 00:51:35,456 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 00:51:35,470 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-13 00:51:35,484 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-13 00:51:35,502 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 00:51:35,515 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 00:51:35,534 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 00:51:35,552 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 00:51:35,567 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-13 00:51:35,581 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 00:51:35,594 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 00:51:35,606 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-13 00:51:35,619 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 00:51:35,632 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 00:51:35,645 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 00:51:35,659 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 00:51:35,672 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 00:51:35,685 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 00:51:35,698 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 00:51:35,714 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 00:51:35,732 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 00:51:35,748 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 00:51:35,761 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-13 00:51:35,779 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 00:51:35,792 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 00:51:35,805 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 00:51:35,818 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 00:51:35,830 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 00:51:35,843 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-13 00:51:35,856 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 00:51:35,869 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 00:51:35,881 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 00:51:35,894 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 00:51:35,912 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-13 00:51:35,927 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 00:51:35,942 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 00:51:35,962 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 00:51:35,981 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-13 00:51:35,994 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 00:51:36,007 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 00:51:36,021 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-13 00:51:36,034 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-13 00:51:36,048 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-13 00:51:36,061 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 00:51:36,075 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 00:51:36,089 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 00:51:36,106 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 00:51:36,121 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 00:51:36,139 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 00:51:36,158 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 00:51:36,172 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 00:51:36,190 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 00:51:36,203 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 00:51:36,216 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 00:51:36,229 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 00:51:36,242 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:51:36,255 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:51:36,268 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 00:51:36,280 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 00:51:36,293 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:51:36,305 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:51:36,324 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 00:51:36,343 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 00:51:36,359 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 00:51:36,372 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 00:51:36,390 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 00:51:36,404 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 00:51:36,416 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 00:51:36,429 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 00:51:36,442 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 00:51:36,454 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 00:51:36,467 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 00:51:36,480 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 00:51:36,493 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 00:52:09,462 semantic_segmentation INFO: Iters: 37610/50000 || Lr: 0.005698 || Task Loss: 0.0956 || KD Loss: 0.0236|| 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, 9:02:29 || Estimated Time: 10:53:05
2023-07-13 00:52:42,132 semantic_segmentation INFO: Iters: 37620/50000 || Lr: 0.005694 || Task Loss: 0.1003 || KD Loss: 0.0251|| 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, 9:03:02 || Estimated Time: 10:52:34
2023-07-13 00:53:14,912 semantic_segmentation INFO: Iters: 37630/50000 || Lr: 0.005690 || Task Loss: 0.0816 || KD Loss: 0.0268|| 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, 9:03:35 || Estimated Time: 10:52:03
2023-07-13 00:53:47,665 semantic_segmentation INFO: Iters: 37640/50000 || Lr: 0.005686 || Task Loss: 0.1011 || KD Loss: 0.0226|| 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, 9:04:07 || Estimated Time: 10:51:31
2023-07-13 00:54:20,430 semantic_segmentation INFO: Iters: 37650/50000 || Lr: 0.005682 || Task Loss: 0.1101 || KD Loss: 0.0310|| 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, 9:04:40 || Estimated Time: 10:51:00
2023-07-13 00:54:53,203 semantic_segmentation INFO: Iters: 37660/50000 || Lr: 0.005678 || Task Loss: 0.0977 || KD Loss: 0.0235|| 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, 9:05:13 || Estimated Time: 10:50:29
2023-07-13 00:55:25,955 semantic_segmentation INFO: Iters: 37670/50000 || Lr: 0.005674 || Task Loss: 0.0896 || KD Loss: 0.0251|| 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, 9:05:46 || Estimated Time: 10:49:58
2023-07-13 00:55:58,531 semantic_segmentation INFO: Iters: 37680/50000 || Lr: 0.005669 || Task Loss: 0.1080 || KD Loss: 0.0270|| 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, 9:06:18 || Estimated Time: 10:49:26
2023-07-13 00:56:31,067 semantic_segmentation INFO: Iters: 37690/50000 || Lr: 0.005665 || Task Loss: 0.0766 || KD Loss: 0.0263|| 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, 9:06:51 || Estimated Time: 10:48:55
2023-07-13 00:57:03,527 semantic_segmentation INFO: Iters: 37700/50000 || Lr: 0.005661 || Task Loss: 0.0904 || KD Loss: 0.0288|| 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, 9:07:23 || Estimated Time: 10:48:24
2023-07-13 00:57:36,228 semantic_segmentation INFO: Iters: 37710/50000 || Lr: 0.005657 || Task Loss: 0.1130 || KD Loss: 0.0237|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0737|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 9:07:56 || Estimated Time: 10:47:52
2023-07-13 00:58:08,920 semantic_segmentation INFO: Iters: 37720/50000 || Lr: 0.005653 || Task Loss: 0.0763 || KD Loss: 0.0210|| 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, 9:08:29 || Estimated Time: 10:47:21
2023-07-13 00:58:41,549 semantic_segmentation INFO: Iters: 37730/50000 || Lr: 0.005649 || Task Loss: 0.0836 || KD Loss: 0.0243|| 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, 9:09:01 || Estimated Time: 10:46:50
2023-07-13 00:59:14,308 semantic_segmentation INFO: Iters: 37740/50000 || Lr: 0.005645 || Task Loss: 0.0912 || KD Loss: 0.0237|| 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, 9:09:34 || Estimated Time: 10:46:18
2023-07-13 00:59:47,091 semantic_segmentation INFO: Iters: 37750/50000 || Lr: 0.005640 || Task Loss: 0.0890 || KD Loss: 0.0234|| 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, 9:10:07 || Estimated Time: 10:45:47
2023-07-13 01:00:19,868 semantic_segmentation INFO: Iters: 37760/50000 || Lr: 0.005636 || Task Loss: 0.0909 || KD Loss: 0.0236|| 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, 9:10:40 || Estimated Time: 10:45:16
2023-07-13 01:00:52,597 semantic_segmentation INFO: Iters: 37770/50000 || Lr: 0.005632 || Task Loss: 0.0815 || KD Loss: 0.0257|| 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, 9:11:12 || Estimated Time: 10:44:45
2023-07-13 01:01:25,387 semantic_segmentation INFO: Iters: 37780/50000 || Lr: 0.005628 || Task Loss: 0.1118 || KD Loss: 0.0232|| 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, 9:11:45 || Estimated Time: 10:44:13
2023-07-13 01:01:57,941 semantic_segmentation INFO: Iters: 37790/50000 || Lr: 0.005624 || Task Loss: 0.1003 || KD Loss: 0.0275|| 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, 9:12:18 || Estimated Time: 10:43:42
2023-07-13 01:02:30,476 semantic_segmentation INFO: Iters: 37800/50000 || Lr: 0.005620 || Task Loss: 0.1013 || KD Loss: 0.0267|| 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, 9:12:50 || Estimated Time: 10:43:11
2023-07-13 01:03:03,004 semantic_segmentation INFO: Iters: 37810/50000 || Lr: 0.005616 || Task Loss: 0.0817 || KD Loss: 0.0251|| 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, 9:13:23 || Estimated Time: 10:42:39
2023-07-13 01:03:35,611 semantic_segmentation INFO: Iters: 37820/50000 || Lr: 0.005611 || Task Loss: 0.1021 || KD Loss: 0.0267|| 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, 9:13:55 || Estimated Time: 10:42:08
2023-07-13 01:04:08,393 semantic_segmentation INFO: Iters: 37830/50000 || Lr: 0.005607 || Task Loss: 0.0912 || KD Loss: 0.0212|| 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, 9:14:28 || Estimated Time: 10:41:37
2023-07-13 01:04:41,078 semantic_segmentation INFO: Iters: 37840/50000 || Lr: 0.005603 || Task Loss: 0.0978 || KD Loss: 0.0210|| 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, 9:15:01 || Estimated Time: 10:41:06
2023-07-13 01:05:13,746 semantic_segmentation INFO: Iters: 37850/50000 || Lr: 0.005599 || Task Loss: 0.0947 || KD Loss: 0.0240|| 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, 9:15:34 || Estimated Time: 10:40:34
2023-07-13 01:05:46,514 semantic_segmentation INFO: Iters: 37860/50000 || Lr: 0.005595 || Task Loss: 0.0923 || KD Loss: 0.0227|| 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, 9:16:06 || Estimated Time: 10:40:03
2023-07-13 01:06:19,249 semantic_segmentation INFO: Iters: 37870/50000 || Lr: 0.005591 || Task Loss: 0.0822 || KD Loss: 0.0210|| 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, 9:16:39 || Estimated Time: 10:39:32
2023-07-13 01:06:52,021 semantic_segmentation INFO: Iters: 37880/50000 || Lr: 0.005587 || Task Loss: 0.0814 || KD Loss: 0.0194|| 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, 9:17:12 || Estimated Time: 10:39:00
2023-07-13 01:07:24,796 semantic_segmentation INFO: Iters: 37890/50000 || Lr: 0.005582 || Task Loss: 0.0855 || KD Loss: 0.0263|| 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, 9:17:45 || Estimated Time: 10:38:29
2023-07-13 01:07:57,506 semantic_segmentation INFO: Iters: 37900/50000 || Lr: 0.005578 || Task Loss: 0.0901 || KD Loss: 0.0213|| 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, 9:18:17 || Estimated Time: 10:37:58
2023-07-13 01:08:30,058 semantic_segmentation INFO: Iters: 37910/50000 || Lr: 0.005574 || Task Loss: 0.0809 || KD Loss: 0.0218|| 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, 9:18:50 || Estimated Time: 10:37:27
2023-07-13 01:09:02,452 semantic_segmentation INFO: Iters: 37920/50000 || Lr: 0.005570 || Task Loss: 0.0990 || KD Loss: 0.0217|| 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, 9:19:22 || Estimated Time: 10:36:55
2023-07-13 01:09:34,978 semantic_segmentation INFO: Iters: 37930/50000 || Lr: 0.005566 || Task Loss: 0.0837 || KD Loss: 0.0234|| 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, 9:19:55 || Estimated Time: 10:36:24
2023-07-13 01:10:07,440 semantic_segmentation INFO: Iters: 37940/50000 || Lr: 0.005562 || Task Loss: 0.0952 || KD Loss: 0.0243|| 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, 9:20:27 || Estimated Time: 10:35:52
2023-07-13 01:10:40,005 semantic_segmentation INFO: Iters: 37950/50000 || Lr: 0.005557 || Task Loss: 0.0830 || KD Loss: 0.0229|| 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, 9:21:00 || Estimated Time: 10:35:21
2023-07-13 01:11:12,676 semantic_segmentation INFO: Iters: 37960/50000 || Lr: 0.005553 || Task Loss: 0.0719 || KD Loss: 0.0220|| 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, 9:21:32 || Estimated Time: 10:34:50
2023-07-13 01:11:45,304 semantic_segmentation INFO: Iters: 37970/50000 || Lr: 0.005549 || Task Loss: 0.0861 || KD Loss: 0.0249|| 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, 9:22:05 || Estimated Time: 10:34:18
2023-07-13 01:12:18,017 semantic_segmentation INFO: Iters: 37980/50000 || Lr: 0.005545 || Task Loss: 0.0936 || KD Loss: 0.0226|| 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, 9:22:38 || Estimated Time: 10:33:47
2023-07-13 01:12:50,753 semantic_segmentation INFO: Iters: 37990/50000 || Lr: 0.005541 || Task Loss: 0.0986 || KD Loss: 0.0211|| 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, 9:23:11 || Estimated Time: 10:33:16
2023-07-13 01:13:23,363 semantic_segmentation INFO: Iters: 38000/50000 || Lr: 0.005537 || Task Loss: 0.0942 || KD Loss: 0.0290|| 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, 9:23:43 || Estimated Time: 10:32:45
2023-07-13 01:13:56,147 semantic_segmentation INFO: Iters: 38010/50000 || Lr: 0.005533 || Task Loss: 0.0860 || KD Loss: 0.0245|| 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, 9:24:16 || Estimated Time: 10:32:13
2023-07-13 01:14:28,861 semantic_segmentation INFO: Iters: 38020/50000 || Lr: 0.005528 || Task Loss: 0.0811 || KD Loss: 0.0228|| 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, 9:24:49 || Estimated Time: 10:31:42
2023-07-13 01:15:01,411 semantic_segmentation INFO: Iters: 38030/50000 || Lr: 0.005524 || Task Loss: 0.0926 || KD Loss: 0.0239|| 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, 9:25:21 || Estimated Time: 10:31:11
2023-07-13 01:15:33,836 semantic_segmentation INFO: Iters: 38040/50000 || Lr: 0.005520 || Task Loss: 0.0976 || 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: 1 day, 9:25:54 || Estimated Time: 10:30:39
2023-07-13 01:16:06,289 semantic_segmentation INFO: Iters: 38050/50000 || Lr: 0.005516 || Task Loss: 0.0858 || KD Loss: 0.0214|| 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, 9:26:26 || Estimated Time: 10:30:08
2023-07-13 01:16:38,894 semantic_segmentation INFO: Iters: 38060/50000 || Lr: 0.005512 || Task Loss: 0.1020 || KD Loss: 0.0257|| 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, 9:26:59 || Estimated Time: 10:29:36
2023-07-13 01:17:11,536 semantic_segmentation INFO: Iters: 38070/50000 || Lr: 0.005508 || Task Loss: 0.0949 || KD Loss: 0.0225|| 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, 9:27:31 || Estimated Time: 10:29:05
2023-07-13 01:17:44,298 semantic_segmentation INFO: Iters: 38080/50000 || Lr: 0.005503 || Task Loss: 0.0866 || KD Loss: 0.0221|| 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, 9:28:04 || Estimated Time: 10:28:34
2023-07-13 01:18:17,020 semantic_segmentation INFO: Iters: 38090/50000 || Lr: 0.005499 || Task Loss: 0.0856 || KD Loss: 0.0212|| 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, 9:28:37 || Estimated Time: 10:28:03
2023-07-13 01:18:49,785 semantic_segmentation INFO: Iters: 38100/50000 || Lr: 0.005495 || Task Loss: 0.0791 || KD Loss: 0.0213|| 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, 9:29:10 || Estimated Time: 10:27:31
2023-07-13 01:19:22,593 semantic_segmentation INFO: Iters: 38110/50000 || Lr: 0.005491 || Task Loss: 0.0981 || KD Loss: 0.0279|| 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, 9:29:42 || Estimated Time: 10:27:00
2023-07-13 01:19:55,363 semantic_segmentation INFO: Iters: 38120/50000 || Lr: 0.005487 || Task Loss: 0.0853 || KD Loss: 0.0215|| 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, 9:30:15 || Estimated Time: 10:26:29
2023-07-13 01:20:28,131 semantic_segmentation INFO: Iters: 38130/50000 || Lr: 0.005483 || Task Loss: 0.0883 || KD Loss: 0.0217|| 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, 9:30:48 || Estimated Time: 10:25:57
2023-07-13 01:21:00,907 semantic_segmentation INFO: Iters: 38140/50000 || Lr: 0.005479 || Task Loss: 0.1104 || KD Loss: 0.0237|| 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, 9:31:21 || Estimated Time: 10:25:26
2023-07-13 01:21:33,465 semantic_segmentation INFO: Iters: 38150/50000 || Lr: 0.005474 || Task Loss: 0.0951 || KD Loss: 0.0231|| 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, 9:31:53 || Estimated Time: 10:24:55
2023-07-13 01:22:06,031 semantic_segmentation INFO: Iters: 38160/50000 || Lr: 0.005470 || Task Loss: 0.1032 || KD Loss: 0.0254|| 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, 9:32:26 || Estimated Time: 10:24:23
2023-07-13 01:22:38,477 semantic_segmentation INFO: Iters: 38170/50000 || Lr: 0.005466 || Task Loss: 0.0892 || KD Loss: 0.0258|| 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, 9:32:58 || Estimated Time: 10:23:52
2023-07-13 01:23:10,923 semantic_segmentation INFO: Iters: 38180/50000 || Lr: 0.005462 || Task Loss: 0.0862 || KD Loss: 0.0229|| 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, 9:33:31 || Estimated Time: 10:23:21
2023-07-13 01:23:43,461 semantic_segmentation INFO: Iters: 38190/50000 || Lr: 0.005458 || Task Loss: 0.0851 || KD Loss: 0.0207|| 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, 9:34:03 || Estimated Time: 10:22:49
2023-07-13 01:24:16,048 semantic_segmentation INFO: Iters: 38200/50000 || Lr: 0.005454 || Task Loss: 0.0888 || KD Loss: 0.0223|| 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, 9:34:36 || Estimated Time: 10:22:18
2023-07-13 01:24:48,644 semantic_segmentation INFO: Iters: 38210/50000 || Lr: 0.005449 || Task Loss: 0.0979 || KD Loss: 0.0222|| 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, 9:35:08 || Estimated Time: 10:21:47
2023-07-13 01:25:21,368 semantic_segmentation INFO: Iters: 38220/50000 || Lr: 0.005445 || Task Loss: 0.0880 || KD Loss: 0.0251|| 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, 9:35:41 || Estimated Time: 10:21:15
2023-07-13 01:25:53,900 semantic_segmentation INFO: Iters: 38230/50000 || Lr: 0.005441 || Task Loss: 0.0860 || KD Loss: 0.0264|| 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, 9:36:14 || Estimated Time: 10:20:44
2023-07-13 01:26:26,532 semantic_segmentation INFO: Iters: 38240/50000 || Lr: 0.005437 || Task Loss: 0.1084 || KD Loss: 0.0250|| 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, 9:36:46 || Estimated Time: 10:20:13
2023-07-13 01:26:59,317 semantic_segmentation INFO: Iters: 38250/50000 || Lr: 0.005433 || Task Loss: 0.0831 || KD Loss: 0.0217|| 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, 9:37:19 || Estimated Time: 10:19:41
2023-07-13 01:27:32,077 semantic_segmentation INFO: Iters: 38260/50000 || Lr: 0.005429 || Task Loss: 0.0933 || KD Loss: 0.0260|| 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, 9:37:52 || Estimated Time: 10:19:10
2023-07-13 01:28:04,811 semantic_segmentation INFO: Iters: 38270/50000 || Lr: 0.005424 || Task Loss: 0.0931 || KD Loss: 0.0250|| 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, 9:38:25 || Estimated Time: 10:18:39
2023-07-13 01:28:37,464 semantic_segmentation INFO: Iters: 38280/50000 || Lr: 0.005420 || Task Loss: 0.0893 || KD Loss: 0.0204|| 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, 9:38:57 || Estimated Time: 10:18:07
2023-07-13 01:29:10,008 semantic_segmentation INFO: Iters: 38290/50000 || Lr: 0.005416 || Task Loss: 0.0926 || KD Loss: 0.0244|| 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, 9:39:30 || Estimated Time: 10:17:36
2023-07-13 01:29:42,476 semantic_segmentation INFO: Iters: 38300/50000 || Lr: 0.005412 || Task Loss: 0.0921 || KD Loss: 0.0222|| 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, 9:40:02 || Estimated Time: 10:17:05
2023-07-13 01:30:14,921 semantic_segmentation INFO: Iters: 38310/50000 || Lr: 0.005408 || Task Loss: 0.0964 || KD Loss: 0.0229|| 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, 9:40:35 || Estimated Time: 10:16:33
2023-07-13 01:30:47,230 semantic_segmentation INFO: Iters: 38320/50000 || Lr: 0.005404 || Task Loss: 0.0954 || KD Loss: 0.0252|| 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, 9:41:07 || Estimated Time: 10:16:02
2023-07-13 01:31:19,740 semantic_segmentation INFO: Iters: 38330/50000 || Lr: 0.005400 || Task Loss: 0.1032 || KD Loss: 0.0218|| 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, 9:41:40 || Estimated Time: 10:15:30
2023-07-13 01:31:52,359 semantic_segmentation INFO: Iters: 38340/50000 || Lr: 0.005395 || Task Loss: 0.0931 || KD Loss: 0.0244|| 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, 9:42:12 || Estimated Time: 10:14:59
2023-07-13 01:32:25,062 semantic_segmentation INFO: Iters: 38350/50000 || Lr: 0.005391 || Task Loss: 0.0938 || KD Loss: 0.0322|| 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, 9:42:45 || Estimated Time: 10:14:28
2023-07-13 01:32:57,703 semantic_segmentation INFO: Iters: 38360/50000 || Lr: 0.005387 || Task Loss: 0.0965 || KD Loss: 0.0222|| 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, 9:43:17 || Estimated Time: 10:13:56
2023-07-13 01:33:30,451 semantic_segmentation INFO: Iters: 38370/50000 || Lr: 0.005383 || Task Loss: 0.0881 || KD Loss: 0.0266|| 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, 9:43:50 || Estimated Time: 10:13:25
2023-07-13 01:34:03,198 semantic_segmentation INFO: Iters: 38380/50000 || Lr: 0.005379 || Task Loss: 0.0884 || KD Loss: 0.0226|| 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, 9:44:23 || Estimated Time: 10:12:54
2023-07-13 01:34:35,962 semantic_segmentation INFO: Iters: 38390/50000 || Lr: 0.005375 || Task Loss: 0.0885 || KD Loss: 0.0232|| 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, 9:44:56 || Estimated Time: 10:12:22
2023-07-13 01:35:08,760 semantic_segmentation INFO: Iters: 38400/50000 || Lr: 0.005370 || Task Loss: 0.0946 || KD Loss: 0.0232|| 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, 9:45:29 || Estimated Time: 10:11:51
2023-07-13 01:35:08,847 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 01:35:09,034 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.744
2023-07-13 01:35:09,065 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.746
2023-07-13 01:35:09,078 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.747
2023-07-13 01:35:09,090 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.743
2023-07-13 01:35:09,103 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 01:35:09,115 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-13 01:35:09,128 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.964, mIoU: 0.740
2023-07-13 01:35:09,140 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.964, mIoU: 0.740
2023-07-13 01:35:09,153 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 01:35:09,166 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-13 01:35:09,179 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 01:35:09,191 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.737
2023-07-13 01:35:09,204 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 01:35:09,217 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-13 01:35:09,230 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.962, mIoU: 0.743
2023-07-13 01:35:09,246 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.962, mIoU: 0.746
2023-07-13 01:35:09,263 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.746
2023-07-13 01:35:09,282 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.748
2023-07-13 01:35:09,295 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 01:35:09,311 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 01:35:09,328 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 01:35:09,342 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 01:35:09,354 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 01:35:09,367 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 01:35:09,380 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 01:35:09,393 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 01:35:09,406 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 01:35:09,419 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 01:35:09,432 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 01:35:09,446 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 01:35:09,459 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 01:35:09,472 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 01:35:09,485 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 01:35:09,503 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 01:35:09,521 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 01:35:09,537 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 01:35:09,552 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 01:35:09,566 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 01:35:09,579 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 01:35:09,593 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 01:35:09,606 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 01:35:09,619 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 01:35:09,633 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 01:35:09,646 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.746
2023-07-13 01:35:09,660 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 01:35:09,679 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 01:35:09,699 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 01:35:09,718 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 01:35:09,733 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.751
2023-07-13 01:35:09,749 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-13 01:35:09,767 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-13 01:35:09,781 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-13 01:35:09,794 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.753
2023-07-13 01:35:09,807 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 01:35:09,820 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 01:35:09,833 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 01:35:09,846 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-13 01:35:09,859 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 01:35:09,872 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 01:35:09,885 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 01:35:09,904 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 01:35:09,922 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 01:35:09,938 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 01:35:09,951 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 01:35:09,971 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 01:35:09,985 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 01:35:09,999 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-13 01:35:10,013 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-13 01:35:10,026 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-13 01:35:10,040 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 01:35:10,054 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 01:35:10,068 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 01:35:10,081 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 01:35:10,100 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 01:35:10,114 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 01:35:10,133 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 01:35:10,152 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 01:35:10,170 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 01:35:10,184 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 01:35:10,198 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 01:35:10,210 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 01:35:10,223 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 01:35:10,236 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 01:35:10,249 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 01:35:10,262 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 01:35:10,274 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 01:35:10,287 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 01:35:10,305 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 01:35:10,328 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 01:35:10,342 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 01:35:10,360 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 01:35:10,374 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 01:35:10,394 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 01:35:10,407 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 01:35:10,421 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 01:35:10,437 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 01:35:10,451 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 01:35:10,464 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 01:35:10,478 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 01:35:10,491 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 01:35:10,505 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 01:35:43,565 semantic_segmentation INFO: Iters: 38410/50000 || Lr: 0.005366 || Task Loss: 0.0991 || KD Loss: 0.0232|| 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, 9:46:03 || Estimated Time: 10:11:20
2023-07-13 01:36:16,372 semantic_segmentation INFO: Iters: 38420/50000 || Lr: 0.005362 || Task Loss: 0.1052 || KD Loss: 0.0230|| 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, 9:46:36 || Estimated Time: 10:10:49
2023-07-13 01:36:49,004 semantic_segmentation INFO: Iters: 38430/50000 || Lr: 0.005358 || Task Loss: 0.0951 || KD Loss: 0.0246|| 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, 9:47:09 || Estimated Time: 10:10:18
2023-07-13 01:37:22,042 semantic_segmentation INFO: Iters: 38440/50000 || Lr: 0.005354 || Task Loss: 0.0792 || KD Loss: 0.0202|| 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, 9:47:42 || Estimated Time: 10:09:46
2023-07-13 01:37:54,558 semantic_segmentation INFO: Iters: 38450/50000 || Lr: 0.005350 || Task Loss: 0.0927 || KD Loss: 0.0235|| 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, 9:48:14 || Estimated Time: 10:09:15
2023-07-13 01:38:27,186 semantic_segmentation INFO: Iters: 38460/50000 || Lr: 0.005345 || Task Loss: 0.0952 || KD Loss: 0.0234|| 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, 9:48:47 || Estimated Time: 10:08:44
2023-07-13 01:38:59,898 semantic_segmentation INFO: Iters: 38470/50000 || Lr: 0.005341 || Task Loss: 0.0925 || KD Loss: 0.0266|| 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, 9:49:20 || Estimated Time: 10:08:12
2023-07-13 01:39:32,499 semantic_segmentation INFO: Iters: 38480/50000 || Lr: 0.005337 || Task Loss: 0.1030 || KD Loss: 0.0271|| 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, 9:49:52 || Estimated Time: 10:07:41
2023-07-13 01:40:05,152 semantic_segmentation INFO: Iters: 38490/50000 || Lr: 0.005333 || Task Loss: 0.1058 || KD Loss: 0.0316|| 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, 9:50:25 || Estimated Time: 10:07:10
2023-07-13 01:40:37,827 semantic_segmentation INFO: Iters: 38500/50000 || Lr: 0.005329 || Task Loss: 0.1017 || KD Loss: 0.0237|| 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, 9:50:58 || Estimated Time: 10:06:38
2023-07-13 01:41:10,653 semantic_segmentation INFO: Iters: 38510/50000 || Lr: 0.005325 || Task Loss: 0.0852 || KD Loss: 0.0207|| 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, 9:51:30 || Estimated Time: 10:06:07
2023-07-13 01:41:43,413 semantic_segmentation INFO: Iters: 38520/50000 || Lr: 0.005320 || Task Loss: 0.1118 || KD Loss: 0.0246|| 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, 9:52:03 || Estimated Time: 10:05:36
2023-07-13 01:42:16,170 semantic_segmentation INFO: Iters: 38530/50000 || Lr: 0.005316 || Task Loss: 0.1024 || KD Loss: 0.0220|| 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, 9:52:36 || Estimated Time: 10:05:04
2023-07-13 01:42:48,741 semantic_segmentation INFO: Iters: 38540/50000 || Lr: 0.005312 || Task Loss: 0.0826 || KD Loss: 0.0232|| 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, 9:53:09 || Estimated Time: 10:04:33
2023-07-13 01:43:21,312 semantic_segmentation INFO: Iters: 38550/50000 || Lr: 0.005308 || Task Loss: 0.0962 || KD Loss: 0.0240|| 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, 9:53:41 || Estimated Time: 10:04:02
2023-07-13 01:43:53,783 semantic_segmentation INFO: Iters: 38560/50000 || Lr: 0.005304 || Task Loss: 0.0910 || KD Loss: 0.0226|| 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, 9:54:14 || Estimated Time: 10:03:30
2023-07-13 01:44:26,186 semantic_segmentation INFO: Iters: 38570/50000 || Lr: 0.005299 || Task Loss: 0.0917 || KD Loss: 0.0225|| 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, 9:54:46 || Estimated Time: 10:02:59
2023-07-13 01:44:58,590 semantic_segmentation INFO: Iters: 38580/50000 || Lr: 0.005295 || Task Loss: 0.0812 || KD Loss: 0.0239|| 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, 9:55:18 || Estimated Time: 10:02:27
2023-07-13 01:45:31,147 semantic_segmentation INFO: Iters: 38590/50000 || Lr: 0.005291 || Task Loss: 0.0955 || KD Loss: 0.0233|| 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, 9:55:51 || Estimated Time: 10:01:56
2023-07-13 01:46:03,669 semantic_segmentation INFO: Iters: 38600/50000 || Lr: 0.005287 || Task Loss: 0.1006 || KD Loss: 0.0259|| 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, 9:56:23 || Estimated Time: 10:01:25
2023-07-13 01:46:36,271 semantic_segmentation INFO: Iters: 38610/50000 || Lr: 0.005283 || Task Loss: 0.0979 || KD Loss: 0.0266|| 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, 9:56:56 || Estimated Time: 10:00:53
2023-07-13 01:47:08,891 semantic_segmentation INFO: Iters: 38620/50000 || Lr: 0.005279 || Task Loss: 0.0979 || KD Loss: 0.0214|| 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, 9:57:29 || Estimated Time: 10:00:22
2023-07-13 01:47:41,543 semantic_segmentation INFO: Iters: 38630/50000 || Lr: 0.005274 || Task Loss: 0.0884 || KD Loss: 0.0232|| 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, 9:58:01 || Estimated Time: 9:59:50
2023-07-13 01:48:14,301 semantic_segmentation INFO: Iters: 38640/50000 || Lr: 0.005270 || Task Loss: 0.0863 || KD Loss: 0.0229|| 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, 9:58:34 || Estimated Time: 9:59:19
2023-07-13 01:48:47,116 semantic_segmentation INFO: Iters: 38650/50000 || Lr: 0.005266 || Task Loss: 0.0825 || KD Loss: 0.0201|| 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, 9:59:07 || Estimated Time: 9:58:48
2023-07-13 01:49:19,826 semantic_segmentation INFO: Iters: 38660/50000 || Lr: 0.005262 || Task Loss: 0.0742 || KD Loss: 0.0247|| 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, 9:59:40 || Estimated Time: 9:58:17
2023-07-13 01:49:52,606 semantic_segmentation INFO: Iters: 38670/50000 || Lr: 0.005258 || Task Loss: 0.0799 || KD Loss: 0.0199|| 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, 10:00:12 || Estimated Time: 9:57:45
2023-07-13 01:50:25,241 semantic_segmentation INFO: Iters: 38680/50000 || Lr: 0.005254 || Task Loss: 0.0918 || KD Loss: 0.0227|| 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, 10:00:45 || Estimated Time: 9:57:14
2023-07-13 01:50:57,736 semantic_segmentation INFO: Iters: 38690/50000 || Lr: 0.005249 || Task Loss: 0.0920 || KD Loss: 0.0262|| 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, 10:01:17 || Estimated Time: 9:56:42
2023-07-13 01:51:30,091 semantic_segmentation INFO: Iters: 38700/50000 || Lr: 0.005245 || Task Loss: 0.0995 || KD Loss: 0.0216|| 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, 10:01:50 || Estimated Time: 9:56:11
2023-07-13 01:52:02,524 semantic_segmentation INFO: Iters: 38710/50000 || Lr: 0.005241 || Task Loss: 0.0891 || KD Loss: 0.0254|| 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, 10:02:22 || Estimated Time: 9:55:40
2023-07-13 01:52:35,032 semantic_segmentation INFO: Iters: 38720/50000 || Lr: 0.005237 || Task Loss: 0.0869 || KD Loss: 0.0251|| 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, 10:02:55 || Estimated Time: 9:55:08
2023-07-13 01:53:07,674 semantic_segmentation INFO: Iters: 38730/50000 || Lr: 0.005233 || Task Loss: 0.0900 || KD Loss: 0.0231|| 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, 10:03:27 || Estimated Time: 9:54:37
2023-07-13 01:53:40,364 semantic_segmentation INFO: Iters: 38740/50000 || Lr: 0.005228 || Task Loss: 0.0911 || KD Loss: 0.0218|| 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, 10:04:00 || Estimated Time: 9:54:05
2023-07-13 01:54:12,984 semantic_segmentation INFO: Iters: 38750/50000 || Lr: 0.005224 || Task Loss: 0.0919 || KD Loss: 0.0226|| 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, 10:04:33 || Estimated Time: 9:53:34
2023-07-13 01:54:45,725 semantic_segmentation INFO: Iters: 38760/50000 || Lr: 0.005220 || Task Loss: 0.0863 || KD Loss: 0.0225|| 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, 10:05:05 || Estimated Time: 9:53:03
2023-07-13 01:55:18,473 semantic_segmentation INFO: Iters: 38770/50000 || Lr: 0.005216 || Task Loss: 0.0868 || KD Loss: 0.0226|| 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, 10:05:38 || Estimated Time: 9:52:31
2023-07-13 01:55:51,289 semantic_segmentation INFO: Iters: 38780/50000 || Lr: 0.005212 || Task Loss: 0.0938 || KD Loss: 0.0232|| 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, 10:06:11 || Estimated Time: 9:52:00
2023-07-13 01:56:23,947 semantic_segmentation INFO: Iters: 38790/50000 || Lr: 0.005208 || Task Loss: 0.0804 || KD Loss: 0.0215|| 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, 10:06:44 || Estimated Time: 9:51:29
2023-07-13 01:56:56,398 semantic_segmentation INFO: Iters: 38800/50000 || Lr: 0.005203 || Task Loss: 0.0944 || KD Loss: 0.0244|| 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, 10:07:16 || Estimated Time: 9:50:57
2023-07-13 01:57:29,018 semantic_segmentation INFO: Iters: 38810/50000 || Lr: 0.005199 || Task Loss: 0.1017 || KD Loss: 0.0219|| 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, 10:07:49 || Estimated Time: 9:50:26
2023-07-13 01:58:01,472 semantic_segmentation INFO: Iters: 38820/50000 || Lr: 0.005195 || Task Loss: 0.0861 || KD Loss: 0.0248|| 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, 10:08:21 || Estimated Time: 9:49:54
2023-07-13 01:58:33,879 semantic_segmentation INFO: Iters: 38830/50000 || Lr: 0.005191 || Task Loss: 0.0872 || KD Loss: 0.0276|| 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, 10:08:54 || Estimated Time: 9:49:23
2023-07-13 01:59:06,394 semantic_segmentation INFO: Iters: 38840/50000 || Lr: 0.005187 || Task Loss: 0.1111 || KD Loss: 0.0263|| 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, 10:09:26 || Estimated Time: 9:48:52
2023-07-13 01:59:39,007 semantic_segmentation INFO: Iters: 38850/50000 || Lr: 0.005183 || Task Loss: 0.1042 || KD Loss: 0.0242|| 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, 10:09:59 || Estimated Time: 9:48:20
2023-07-13 02:00:11,767 semantic_segmentation INFO: Iters: 38860/50000 || Lr: 0.005178 || Task Loss: 0.0902 || KD Loss: 0.0237|| 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, 10:10:32 || Estimated Time: 9:47:49
2023-07-13 02:00:44,351 semantic_segmentation INFO: Iters: 38870/50000 || Lr: 0.005174 || Task Loss: 0.0904 || KD Loss: 0.0270|| 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, 10:11:04 || Estimated Time: 9:47:17
2023-07-13 02:01:17,102 semantic_segmentation INFO: Iters: 38880/50000 || Lr: 0.005170 || Task Loss: 0.0874 || 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, 10:11:37 || Estimated Time: 9:46:46
2023-07-13 02:01:49,877 semantic_segmentation INFO: Iters: 38890/50000 || Lr: 0.005166 || Task Loss: 0.0906 || KD Loss: 0.0242|| 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, 10:12:10 || Estimated Time: 9:46:15
2023-07-13 02:02:22,646 semantic_segmentation INFO: Iters: 38900/50000 || Lr: 0.005162 || Task Loss: 0.1022 || KD Loss: 0.0270|| 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, 10:12:42 || Estimated Time: 9:45:43
2023-07-13 02:02:55,421 semantic_segmentation INFO: Iters: 38910/50000 || Lr: 0.005157 || Task Loss: 0.1014 || 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, 10:13:15 || Estimated Time: 9:45:12
2023-07-13 02:03:28,392 semantic_segmentation INFO: Iters: 38920/50000 || Lr: 0.005153 || Task Loss: 0.0946 || KD Loss: 0.0216|| 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, 10:13:48 || Estimated Time: 9:44:41
2023-07-13 02:04:01,132 semantic_segmentation INFO: Iters: 38930/50000 || Lr: 0.005149 || Task Loss: 0.1120 || KD Loss: 0.0233|| 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, 10:14:21 || Estimated Time: 9:44:09
2023-07-13 02:04:33,730 semantic_segmentation INFO: Iters: 38940/50000 || Lr: 0.005145 || Task Loss: 0.0949 || KD Loss: 0.0227|| 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, 10:14:53 || Estimated Time: 9:43:38
2023-07-13 02:05:06,268 semantic_segmentation INFO: Iters: 38950/50000 || Lr: 0.005141 || Task Loss: 0.0877 || KD Loss: 0.0215|| 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, 10:15:26 || Estimated Time: 9:43:07
2023-07-13 02:05:38,778 semantic_segmentation INFO: Iters: 38960/50000 || Lr: 0.005136 || Task Loss: 0.0916 || KD Loss: 0.0234|| 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, 10:15:59 || Estimated Time: 9:42:35
2023-07-13 02:06:11,178 semantic_segmentation INFO: Iters: 38970/50000 || Lr: 0.005132 || Task Loss: 0.0936 || KD Loss: 0.0206|| 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, 10:16:31 || Estimated Time: 9:42:04
2023-07-13 02:06:43,519 semantic_segmentation INFO: Iters: 38980/50000 || Lr: 0.005128 || Task Loss: 0.0861 || KD Loss: 0.0237|| 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, 10:17:03 || Estimated Time: 9:41:32
2023-07-13 02:07:16,047 semantic_segmentation INFO: Iters: 38990/50000 || Lr: 0.005124 || Task Loss: 0.0908 || KD Loss: 0.0217|| 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, 10:17:36 || Estimated Time: 9:41:01
2023-07-13 02:07:48,536 semantic_segmentation INFO: Iters: 39000/50000 || Lr: 0.005120 || Task Loss: 0.0794 || KD Loss: 0.0259|| 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, 10:18:08 || Estimated Time: 9:40:29
2023-07-13 02:08:21,052 semantic_segmentation INFO: Iters: 39010/50000 || Lr: 0.005116 || Task Loss: 0.0838 || KD Loss: 0.0231|| 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, 10:18:41 || Estimated Time: 9:39:58
2023-07-13 02:08:53,722 semantic_segmentation INFO: Iters: 39020/50000 || Lr: 0.005111 || Task Loss: 0.0954 || KD Loss: 0.0256|| 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, 10:19:13 || Estimated Time: 9:39:27
2023-07-13 02:09:26,384 semantic_segmentation INFO: Iters: 39030/50000 || Lr: 0.005107 || Task Loss: 0.0917 || KD Loss: 0.0223|| 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, 10:19:46 || Estimated Time: 9:38:55
2023-07-13 02:09:59,073 semantic_segmentation INFO: Iters: 39040/50000 || Lr: 0.005103 || Task Loss: 0.0964 || KD Loss: 0.0327|| 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, 10:20:19 || Estimated Time: 9:38:24
2023-07-13 02:10:31,725 semantic_segmentation INFO: Iters: 39050/50000 || Lr: 0.005099 || Task Loss: 0.0782 || KD Loss: 0.0232|| 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, 10:20:51 || Estimated Time: 9:37:52
2023-07-13 02:11:04,455 semantic_segmentation INFO: Iters: 39060/50000 || Lr: 0.005095 || Task Loss: 0.1015 || KD Loss: 0.0257|| 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, 10:21:24 || Estimated Time: 9:37:21
2023-07-13 02:11:37,270 semantic_segmentation INFO: Iters: 39070/50000 || Lr: 0.005090 || Task Loss: 0.0840 || KD Loss: 0.0222|| 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, 10:21:57 || Estimated Time: 9:36:50
2023-07-13 02:12:10,024 semantic_segmentation INFO: Iters: 39080/50000 || Lr: 0.005086 || Task Loss: 0.1066 || KD Loss: 0.0218|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0763|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:22:30 || Estimated Time: 9:36:18
2023-07-13 02:12:42,799 semantic_segmentation INFO: Iters: 39090/50000 || Lr: 0.005082 || Task Loss: 0.0954 || 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, 10:23:03 || Estimated Time: 9:35:47
2023-07-13 02:13:15,411 semantic_segmentation INFO: Iters: 39100/50000 || Lr: 0.005078 || Task Loss: 0.0921 || KD Loss: 0.0220|| 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, 10:23:35 || Estimated Time: 9:35:16
2023-07-13 02:13:48,071 semantic_segmentation INFO: Iters: 39110/50000 || Lr: 0.005074 || Task Loss: 0.1096 || KD Loss: 0.0241|| 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, 10:24:08 || Estimated Time: 9:34:44
2023-07-13 02:14:20,474 semantic_segmentation INFO: Iters: 39120/50000 || Lr: 0.005069 || Task Loss: 0.1008 || KD Loss: 0.0242|| 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, 10:24:40 || Estimated Time: 9:34:13
2023-07-13 02:14:52,854 semantic_segmentation INFO: Iters: 39130/50000 || Lr: 0.005065 || Task Loss: 0.0856 || KD Loss: 0.0219|| 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, 10:25:13 || Estimated Time: 9:33:41
2023-07-13 02:15:25,542 semantic_segmentation INFO: Iters: 39140/50000 || Lr: 0.005061 || Task Loss: 0.0872 || KD Loss: 0.0238|| 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, 10:25:45 || Estimated Time: 9:33:10
2023-07-13 02:15:58,183 semantic_segmentation INFO: Iters: 39150/50000 || Lr: 0.005057 || Task Loss: 0.0904 || KD Loss: 0.0234|| 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, 10:26:18 || Estimated Time: 9:32:38
2023-07-13 02:16:30,946 semantic_segmentation INFO: Iters: 39160/50000 || Lr: 0.005053 || Task Loss: 0.0990 || KD Loss: 0.0259|| 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, 10:26:51 || Estimated Time: 9:32:07
2023-07-13 02:17:03,659 semantic_segmentation INFO: Iters: 39170/50000 || Lr: 0.005048 || Task Loss: 0.0996 || KD Loss: 0.0234|| 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, 10:27:23 || Estimated Time: 9:31:36
2023-07-13 02:17:36,279 semantic_segmentation INFO: Iters: 39180/50000 || Lr: 0.005044 || Task Loss: 0.0821 || KD Loss: 0.0228|| 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, 10:27:56 || Estimated Time: 9:31:04
2023-07-13 02:18:09,055 semantic_segmentation INFO: Iters: 39190/50000 || Lr: 0.005040 || Task Loss: 0.0818 || KD Loss: 0.0210|| 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, 10:28:29 || Estimated Time: 9:30:33
2023-07-13 02:18:41,826 semantic_segmentation INFO: Iters: 39200/50000 || Lr: 0.005036 || Task Loss: 0.0813 || KD Loss: 0.0199|| 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, 10:29:02 || Estimated Time: 9:30:02
2023-07-13 02:18:41,931 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 02:18:42,120 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.743
2023-07-13 02:18:42,148 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.743
2023-07-13 02:18:42,160 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.744
2023-07-13 02:18:42,172 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 02:18:42,185 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-13 02:18:42,198 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 02:18:42,211 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-13 02:18:42,226 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 02:18:42,239 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-13 02:18:42,252 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-13 02:18:42,265 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-13 02:18:42,278 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.734
2023-07-13 02:18:42,291 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.737
2023-07-13 02:18:42,304 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-13 02:18:42,318 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-13 02:18:42,334 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 02:18:42,347 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.744
2023-07-13 02:18:42,367 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 02:18:42,385 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-13 02:18:42,399 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 02:18:42,418 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 02:18:42,432 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-13 02:18:42,445 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 02:18:42,458 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 02:18:42,472 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 02:18:42,485 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 02:18:42,497 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 02:18:42,510 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 02:18:42,523 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 02:18:42,536 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-13 02:18:42,554 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 02:18:42,568 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 02:18:42,587 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 02:18:42,607 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 02:18:42,625 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 02:18:42,638 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-13 02:18:42,652 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-13 02:18:42,666 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-13 02:18:42,680 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-13 02:18:42,693 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-13 02:18:42,706 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 02:18:42,723 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 02:18:42,737 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 02:18:42,750 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 02:18:42,763 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-13 02:18:42,779 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 02:18:42,792 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 02:18:42,811 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 02:18:42,830 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 02:18:42,843 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-13 02:18:42,856 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-13 02:18:42,869 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-13 02:18:42,882 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-13 02:18:42,895 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-13 02:18:42,908 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 02:18:42,921 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 02:18:42,934 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-13 02:18:42,951 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 02:18:42,964 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 02:18:42,983 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 02:18:43,002 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-13 02:18:43,019 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-13 02:18:43,033 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 02:18:43,051 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 02:18:43,064 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-13 02:18:43,077 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-13 02:18:43,089 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-13 02:18:43,102 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 02:18:43,115 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 02:18:43,128 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-13 02:18:43,140 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-13 02:18:43,153 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 02:18:43,166 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 02:18:43,179 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 02:18:43,197 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 02:18:43,218 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 02:18:43,232 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 02:18:43,250 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 02:18:43,264 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 02:18:43,277 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 02:18:43,291 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 02:18:43,304 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 02:18:43,318 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 02:18:43,331 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 02:18:43,345 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 02:18:43,358 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 02:18:43,373 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 02:18:43,390 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 02:18:43,409 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 02:18:43,426 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 02:18:43,439 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 02:18:43,457 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 02:18:43,470 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 02:18:43,483 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.759
2023-07-13 02:18:43,496 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 02:18:43,508 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 02:18:43,521 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 02:18:43,533 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 02:18:43,546 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 02:18:43,558 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-13 02:18:43,575 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-13 02:19:16,548 semantic_segmentation INFO: Iters: 39210/50000 || Lr: 0.005032 || Task Loss: 0.0936 || KD Loss: 0.0228|| 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, 10:29:36 || Estimated Time: 9:29:31
2023-07-13 02:19:49,208 semantic_segmentation INFO: Iters: 39220/50000 || Lr: 0.005027 || Task Loss: 0.0783 || KD Loss: 0.0221|| 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, 10:30:09 || Estimated Time: 9:28:59
2023-07-13 02:20:21,940 semantic_segmentation INFO: Iters: 39230/50000 || Lr: 0.005023 || Task Loss: 0.0860 || KD Loss: 0.0283|| 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, 10:30:42 || Estimated Time: 9:28:28
2023-07-13 02:20:54,460 semantic_segmentation INFO: Iters: 39240/50000 || Lr: 0.005019 || Task Loss: 0.0945 || KD Loss: 0.0234|| 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, 10:31:14 || Estimated Time: 9:27:57
2023-07-13 02:21:26,957 semantic_segmentation INFO: Iters: 39250/50000 || Lr: 0.005015 || Task Loss: 0.0828 || KD Loss: 0.0224|| 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, 10:31:47 || Estimated Time: 9:27:25
2023-07-13 02:21:59,394 semantic_segmentation INFO: Iters: 39260/50000 || Lr: 0.005011 || Task Loss: 0.0923 || KD Loss: 0.0218|| 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, 10:32:19 || Estimated Time: 9:26:54
2023-07-13 02:22:31,849 semantic_segmentation INFO: Iters: 39270/50000 || Lr: 0.005006 || Task Loss: 0.0923 || KD Loss: 0.0243|| 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, 10:32:52 || Estimated Time: 9:26:22
2023-07-13 02:23:04,373 semantic_segmentation INFO: Iters: 39280/50000 || Lr: 0.005002 || Task Loss: 0.0753 || KD Loss: 0.0239|| 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, 10:33:24 || Estimated Time: 9:25:51
2023-07-13 02:23:36,885 semantic_segmentation INFO: Iters: 39290/50000 || Lr: 0.004998 || Task Loss: 0.0870 || KD Loss: 0.0278|| 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, 10:33:57 || Estimated Time: 9:25:19
2023-07-13 02:24:09,488 semantic_segmentation INFO: Iters: 39300/50000 || Lr: 0.004994 || Task Loss: 0.0927 || KD Loss: 0.0236|| 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, 10:34:29 || Estimated Time: 9:24:48
2023-07-13 02:24:42,133 semantic_segmentation INFO: Iters: 39310/50000 || Lr: 0.004990 || Task Loss: 0.0965 || KD Loss: 0.0227|| 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, 10:35:02 || Estimated Time: 9:24:17
2023-07-13 02:25:14,786 semantic_segmentation INFO: Iters: 39320/50000 || Lr: 0.004985 || Task Loss: 0.0964 || KD Loss: 0.0253|| 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, 10:35:35 || Estimated Time: 9:23:45
2023-07-13 02:25:47,415 semantic_segmentation INFO: Iters: 39330/50000 || Lr: 0.004981 || Task Loss: 0.0776 || KD Loss: 0.0214|| 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, 10:36:07 || Estimated Time: 9:23:14
2023-07-13 02:26:20,163 semantic_segmentation INFO: Iters: 39340/50000 || Lr: 0.004977 || Task Loss: 0.0912 || KD Loss: 0.0272|| 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, 10:36:40 || Estimated Time: 9:22:42
2023-07-13 02:26:52,900 semantic_segmentation INFO: Iters: 39350/50000 || Lr: 0.004973 || Task Loss: 0.0821 || KD Loss: 0.0258|| 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, 10:37:13 || Estimated Time: 9:22:11
2023-07-13 02:27:25,665 semantic_segmentation INFO: Iters: 39360/50000 || Lr: 0.004969 || Task Loss: 0.0959 || KD Loss: 0.0221|| 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, 10:37:45 || Estimated Time: 9:21:40
2023-07-13 02:27:58,253 semantic_segmentation INFO: Iters: 39370/50000 || Lr: 0.004964 || Task Loss: 0.0915 || KD Loss: 0.0242|| 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, 10:38:18 || Estimated Time: 9:21:08
2023-07-13 02:28:30,768 semantic_segmentation INFO: Iters: 39380/50000 || Lr: 0.004960 || Task Loss: 0.0817 || KD Loss: 0.0241|| 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, 10:38:51 || Estimated Time: 9:20:37
2023-07-13 02:29:03,283 semantic_segmentation INFO: Iters: 39390/50000 || Lr: 0.004956 || Task Loss: 0.1065 || KD Loss: 0.0246|| 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, 10:39:23 || Estimated Time: 9:20:05
2023-07-13 02:29:35,884 semantic_segmentation INFO: Iters: 39400/50000 || Lr: 0.004952 || Task Loss: 0.0951 || KD Loss: 0.0234|| 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, 10:39:56 || Estimated Time: 9:19:34
2023-07-13 02:30:08,397 semantic_segmentation INFO: Iters: 39410/50000 || Lr: 0.004948 || Task Loss: 0.1008 || KD Loss: 0.0240|| 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, 10:40:28 || Estimated Time: 9:19:02
2023-07-13 02:30:41,073 semantic_segmentation INFO: Iters: 39420/50000 || Lr: 0.004943 || Task Loss: 0.0797 || KD Loss: 0.0234|| 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, 10:41:01 || Estimated Time: 9:18:31
2023-07-13 02:31:13,650 semantic_segmentation INFO: Iters: 39430/50000 || Lr: 0.004939 || Task Loss: 0.1047 || KD Loss: 0.0220|| 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, 10:41:33 || Estimated Time: 9:18:00
2023-07-13 02:31:46,364 semantic_segmentation INFO: Iters: 39440/50000 || Lr: 0.004935 || Task Loss: 0.0852 || KD Loss: 0.0204|| 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, 10:42:06 || Estimated Time: 9:17:28
2023-07-13 02:32:18,945 semantic_segmentation INFO: Iters: 39450/50000 || Lr: 0.004931 || Task Loss: 0.0946 || KD Loss: 0.0232|| 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, 10:42:39 || Estimated Time: 9:16:57
2023-07-13 02:32:51,557 semantic_segmentation INFO: Iters: 39460/50000 || Lr: 0.004927 || Task Loss: 0.0944 || KD Loss: 0.0222|| 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, 10:43:11 || Estimated Time: 9:16:25
2023-07-13 02:33:24,313 semantic_segmentation INFO: Iters: 39470/50000 || Lr: 0.004922 || Task Loss: 0.0713 || KD Loss: 0.0208|| 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, 10:43:44 || Estimated Time: 9:15:54
2023-07-13 02:33:57,028 semantic_segmentation INFO: Iters: 39480/50000 || Lr: 0.004918 || Task Loss: 0.0778 || KD Loss: 0.0206|| 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, 10:44:17 || Estimated Time: 9:15:22
2023-07-13 02:34:29,637 semantic_segmentation INFO: Iters: 39490/50000 || Lr: 0.004914 || Task Loss: 0.0826 || KD Loss: 0.0238|| 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, 10:44:49 || Estimated Time: 9:14:51
2023-07-13 02:35:02,139 semantic_segmentation INFO: Iters: 39500/50000 || Lr: 0.004910 || Task Loss: 0.0981 || KD Loss: 0.0291|| 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, 10:45:22 || Estimated Time: 9:14:20
2023-07-13 02:35:34,492 semantic_segmentation INFO: Iters: 39510/50000 || Lr: 0.004906 || Task Loss: 0.0832 || KD Loss: 0.0210|| 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, 10:45:54 || Estimated Time: 9:13:48
2023-07-13 02:36:06,904 semantic_segmentation INFO: Iters: 39520/50000 || Lr: 0.004901 || Task Loss: 0.0734 || KD Loss: 0.0222|| 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, 10:46:27 || Estimated Time: 9:13:17
2023-07-13 02:36:39,439 semantic_segmentation INFO: Iters: 39530/50000 || Lr: 0.004897 || Task Loss: 0.0975 || KD Loss: 0.0285|| 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, 10:46:59 || Estimated Time: 9:12:45
2023-07-13 02:37:12,050 semantic_segmentation INFO: Iters: 39540/50000 || Lr: 0.004893 || Task Loss: 0.1030 || KD Loss: 0.0233|| 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, 10:47:32 || Estimated Time: 9:12:14
2023-07-13 02:37:44,708 semantic_segmentation INFO: Iters: 39550/50000 || Lr: 0.004889 || Task Loss: 0.1122 || KD Loss: 0.0244|| 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, 10:48:04 || Estimated Time: 9:11:42
2023-07-13 02:38:17,352 semantic_segmentation INFO: Iters: 39560/50000 || Lr: 0.004885 || Task Loss: 0.0889 || KD Loss: 0.0253|| 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, 10:48:37 || Estimated Time: 9:11:11
2023-07-13 02:38:49,942 semantic_segmentation INFO: Iters: 39570/50000 || Lr: 0.004880 || Task Loss: 0.0947 || KD Loss: 0.0254|| 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, 10:49:10 || Estimated Time: 9:10:39
2023-07-13 02:39:22,660 semantic_segmentation INFO: Iters: 39580/50000 || Lr: 0.004876 || Task Loss: 0.0913 || KD Loss: 0.0308|| 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, 10:49:42 || Estimated Time: 9:10:08
2023-07-13 02:39:55,320 semantic_segmentation INFO: Iters: 39590/50000 || Lr: 0.004872 || Task Loss: 0.1090 || KD Loss: 0.0266|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0805|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 10:50:15 || Estimated Time: 9:09:37
2023-07-13 02:40:28,045 semantic_segmentation INFO: Iters: 39600/50000 || Lr: 0.004868 || Task Loss: 0.0951 || KD Loss: 0.0215|| 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, 10:50:48 || Estimated Time: 9:09:05
2023-07-13 02:41:00,771 semantic_segmentation INFO: Iters: 39610/50000 || Lr: 0.004863 || Task Loss: 0.0857 || KD Loss: 0.0240|| 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, 10:51:21 || Estimated Time: 9:08:34
2023-07-13 02:41:33,298 semantic_segmentation INFO: Iters: 39620/50000 || Lr: 0.004859 || Task Loss: 0.0809 || KD Loss: 0.0266|| 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, 10:51:53 || Estimated Time: 9:08:02
2023-07-13 02:42:05,741 semantic_segmentation INFO: Iters: 39630/50000 || Lr: 0.004855 || Task Loss: 0.0932 || KD Loss: 0.0240|| 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, 10:52:26 || Estimated Time: 9:07:31
2023-07-13 02:42:38,169 semantic_segmentation INFO: Iters: 39640/50000 || Lr: 0.004851 || Task Loss: 0.0946 || KD Loss: 0.0246|| 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, 10:52:58 || Estimated Time: 9:06:59
2023-07-13 02:43:10,627 semantic_segmentation INFO: Iters: 39650/50000 || Lr: 0.004847 || Task Loss: 0.0786 || KD Loss: 0.0224|| 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, 10:53:30 || Estimated Time: 9:06:28
2023-07-13 02:43:43,075 semantic_segmentation INFO: Iters: 39660/50000 || Lr: 0.004842 || Task Loss: 0.0827 || KD Loss: 0.0226|| 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, 10:54:03 || Estimated Time: 9:05:56
2023-07-13 02:44:15,581 semantic_segmentation INFO: Iters: 39670/50000 || Lr: 0.004838 || Task Loss: 0.0910 || KD Loss: 0.0259|| 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, 10:54:35 || Estimated Time: 9:05:25
2023-07-13 02:44:48,118 semantic_segmentation INFO: Iters: 39680/50000 || Lr: 0.004834 || Task Loss: 0.0924 || KD Loss: 0.0225|| 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, 10:55:08 || Estimated Time: 9:04:54
2023-07-13 02:45:20,615 semantic_segmentation INFO: Iters: 39690/50000 || Lr: 0.004830 || Task Loss: 0.0937 || KD Loss: 0.0230|| 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, 10:55:40 || Estimated Time: 9:04:22
2023-07-13 02:45:53,258 semantic_segmentation INFO: Iters: 39700/50000 || Lr: 0.004826 || Task Loss: 0.0947 || KD Loss: 0.0217|| 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, 10:56:13 || Estimated Time: 9:03:51
2023-07-13 02:46:25,953 semantic_segmentation INFO: Iters: 39710/50000 || Lr: 0.004821 || Task Loss: 0.0901 || KD Loss: 0.0195|| 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: 1 day, 10:56:46 || Estimated Time: 9:03:19
2023-07-13 02:46:58,576 semantic_segmentation INFO: Iters: 39720/50000 || Lr: 0.004817 || Task Loss: 0.1024 || KD Loss: 0.0204|| 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, 10:57:18 || Estimated Time: 9:02:48
2023-07-13 02:47:31,366 semantic_segmentation INFO: Iters: 39730/50000 || Lr: 0.004813 || Task Loss: 0.0872 || KD Loss: 0.0218|| 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, 10:57:51 || Estimated Time: 9:02:16
2023-07-13 02:48:04,087 semantic_segmentation INFO: Iters: 39740/50000 || Lr: 0.004809 || Task Loss: 0.0751 || KD Loss: 0.0197|| 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, 10:58:24 || Estimated Time: 9:01:45
2023-07-13 02:48:36,635 semantic_segmentation INFO: Iters: 39750/50000 || Lr: 0.004804 || Task Loss: 0.1033 || KD Loss: 0.0214|| 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, 10:58:56 || Estimated Time: 9:01:14
2023-07-13 02:49:09,138 semantic_segmentation INFO: Iters: 39760/50000 || Lr: 0.004800 || Task Loss: 0.0920 || KD Loss: 0.0206|| 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, 10:59:29 || Estimated Time: 9:00:42
2023-07-13 02:49:41,570 semantic_segmentation INFO: Iters: 39770/50000 || Lr: 0.004796 || Task Loss: 0.0994 || KD Loss: 0.0218|| 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, 11:00:01 || Estimated Time: 9:00:11
2023-07-13 02:50:14,081 semantic_segmentation INFO: Iters: 39780/50000 || Lr: 0.004792 || Task Loss: 0.0998 || KD Loss: 0.0253|| 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, 11:00:34 || Estimated Time: 8:59:39
2023-07-13 02:50:46,643 semantic_segmentation INFO: Iters: 39790/50000 || Lr: 0.004788 || Task Loss: 0.1022 || 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, 11:01:06 || Estimated Time: 8:59:08
2023-07-13 02:51:19,263 semantic_segmentation INFO: Iters: 39800/50000 || Lr: 0.004783 || Task Loss: 0.0833 || KD Loss: 0.0227|| 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, 11:01:39 || Estimated Time: 8:58:36
2023-07-13 02:51:51,991 semantic_segmentation INFO: Iters: 39810/50000 || Lr: 0.004779 || Task Loss: 0.0974 || KD Loss: 0.0235|| 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, 11:02:12 || Estimated Time: 8:58:05
2023-07-13 02:52:24,754 semantic_segmentation INFO: Iters: 39820/50000 || Lr: 0.004775 || Task Loss: 0.1082 || KD Loss: 0.0227|| 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, 11:02:45 || Estimated Time: 8:57:33
2023-07-13 02:52:57,495 semantic_segmentation INFO: Iters: 39830/50000 || Lr: 0.004771 || Task Loss: 0.0851 || KD Loss: 0.0221|| 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, 11:03:17 || Estimated Time: 8:57:02
2023-07-13 02:53:30,358 semantic_segmentation INFO: Iters: 39840/50000 || Lr: 0.004767 || Task Loss: 0.0923 || KD Loss: 0.0225|| 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, 11:03:50 || Estimated Time: 8:56:31
2023-07-13 02:54:03,091 semantic_segmentation INFO: Iters: 39850/50000 || Lr: 0.004762 || Task Loss: 0.0997 || KD Loss: 0.0210|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0778|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:04:23 || Estimated Time: 8:55:59
2023-07-13 02:54:35,870 semantic_segmentation INFO: Iters: 39860/50000 || Lr: 0.004758 || Task Loss: 0.0910 || KD Loss: 0.0261|| 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, 11:04:56 || Estimated Time: 8:55:28
2023-07-13 02:55:08,539 semantic_segmentation INFO: Iters: 39870/50000 || Lr: 0.004754 || Task Loss: 0.0741 || KD Loss: 0.0206|| 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, 11:05:28 || Estimated Time: 8:54:56
2023-07-13 02:55:41,153 semantic_segmentation INFO: Iters: 39880/50000 || Lr: 0.004750 || Task Loss: 0.1004 || KD Loss: 0.0244|| 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, 11:06:01 || Estimated Time: 8:54:25
2023-07-13 02:56:13,562 semantic_segmentation INFO: Iters: 39890/50000 || Lr: 0.004745 || Task Loss: 0.0851 || KD Loss: 0.0199|| 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, 11:06:33 || Estimated Time: 8:53:53
2023-07-13 02:56:46,071 semantic_segmentation INFO: Iters: 39900/50000 || Lr: 0.004741 || Task Loss: 0.1051 || KD Loss: 0.0226|| 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, 11:07:06 || Estimated Time: 8:53:22
2023-07-13 02:57:18,641 semantic_segmentation INFO: Iters: 39910/50000 || Lr: 0.004737 || Task Loss: 0.0871 || KD Loss: 0.0213|| 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, 11:07:38 || Estimated Time: 8:52:50
2023-07-13 02:57:51,120 semantic_segmentation INFO: Iters: 39920/50000 || Lr: 0.004733 || Task Loss: 0.0838 || KD Loss: 0.0226|| 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, 11:08:11 || Estimated Time: 8:52:19
2023-07-13 02:58:23,997 semantic_segmentation INFO: Iters: 39930/50000 || Lr: 0.004728 || Task Loss: 0.0840 || KD Loss: 0.0226|| 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, 11:08:44 || Estimated Time: 8:51:48
2023-07-13 02:58:56,562 semantic_segmentation INFO: Iters: 39940/50000 || Lr: 0.004724 || Task Loss: 0.0904 || KD Loss: 0.0221|| 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, 11:09:16 || Estimated Time: 8:51:16
2023-07-13 02:59:29,274 semantic_segmentation INFO: Iters: 39950/50000 || Lr: 0.004720 || Task Loss: 0.0793 || KD Loss: 0.0251|| 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, 11:09:49 || Estimated Time: 8:50:45
2023-07-13 03:00:01,766 semantic_segmentation INFO: Iters: 39960/50000 || Lr: 0.004716 || Task Loss: 0.0790 || KD Loss: 0.0231|| 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, 11:10:22 || Estimated Time: 8:50:13
2023-07-13 03:00:34,398 semantic_segmentation INFO: Iters: 39970/50000 || Lr: 0.004712 || Task Loss: 0.0862 || KD Loss: 0.0244|| 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, 11:10:54 || Estimated Time: 8:49:42
2023-07-13 03:01:07,017 semantic_segmentation INFO: Iters: 39980/50000 || Lr: 0.004707 || Task Loss: 0.0770 || KD Loss: 0.0216|| 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, 11:11:27 || Estimated Time: 8:49:10
2023-07-13 03:01:39,751 semantic_segmentation INFO: Iters: 39990/50000 || Lr: 0.004703 || Task Loss: 0.0972 || KD Loss: 0.0202|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0795|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:12:00 || Estimated Time: 8:48:39
2023-07-13 03:02:12,340 semantic_segmentation INFO: Iters: 40000/50000 || Lr: 0.004699 || Task Loss: 0.0830 || KD Loss: 0.0248|| 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, 11:12:32 || Estimated Time: 8:48:07
2023-07-13 03:02:12,434 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 03:02:12,634 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.742
2023-07-13 03:02:12,655 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.743
2023-07-13 03:02:12,668 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.745
2023-07-13 03:02:12,682 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-13 03:02:12,695 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.735
2023-07-13 03:02:12,708 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 03:02:12,722 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-13 03:02:12,735 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-13 03:02:12,748 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.733
2023-07-13 03:02:12,761 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-13 03:02:12,775 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-13 03:02:12,788 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.733
2023-07-13 03:02:12,801 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-13 03:02:12,815 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-13 03:02:12,828 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 03:02:12,843 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 03:02:12,857 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.743
2023-07-13 03:02:12,878 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 03:02:12,894 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 03:02:12,913 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 03:02:12,928 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 03:02:12,946 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.741
2023-07-13 03:02:12,960 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 03:02:12,974 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 03:02:12,989 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 03:02:13,003 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 03:02:13,016 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 03:02:13,030 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 03:02:13,043 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 03:02:13,055 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 03:02:13,068 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 03:02:13,081 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 03:02:13,100 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 03:02:13,118 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 03:02:13,136 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 03:02:13,150 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-13 03:02:13,164 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 03:02:13,178 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 03:02:13,191 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 03:02:13,205 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 03:02:13,219 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 03:02:13,232 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 03:02:13,246 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 03:02:13,265 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 03:02:13,284 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-13 03:02:13,302 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-13 03:02:13,317 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-13 03:02:13,336 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 03:02:13,354 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 03:02:13,367 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-13 03:02:13,380 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 03:02:13,393 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 03:02:13,406 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 03:02:13,419 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 03:02:13,431 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.751
2023-07-13 03:02:13,444 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 03:02:13,457 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 03:02:13,470 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 03:02:13,485 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 03:02:13,499 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-13 03:02:13,517 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 03:02:13,535 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 03:02:13,552 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 03:02:13,566 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-13 03:02:13,580 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 03:02:13,592 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-13 03:02:13,605 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 03:02:13,619 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-13 03:02:13,632 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-13 03:02:13,646 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 03:02:13,659 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 03:02:13,673 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 03:02:13,688 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 03:02:13,702 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 03:02:13,722 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 03:02:13,741 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 03:02:13,758 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 03:02:13,771 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 03:02:13,785 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 03:02:13,797 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 03:02:13,810 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 03:02:13,823 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 03:02:13,836 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 03:02:13,850 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 03:02:13,863 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 03:02:13,876 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 03:02:13,894 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 03:02:13,907 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 03:02:13,926 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 03:02:13,945 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 03:02:13,961 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 03:02:13,974 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 03:02:13,989 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 03:02:14,003 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 03:02:14,016 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 03:02:14,029 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 03:02:14,043 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 03:02:14,056 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 03:02:14,070 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 03:02:14,083 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 03:02:14,103 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.761
2023-07-13 03:02:46,793 semantic_segmentation INFO: Iters: 40010/50000 || Lr: 0.004695 || Task Loss: 0.1001 || KD Loss: 0.0257|| 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, 11:13:07 || Estimated Time: 8:47:36
2023-07-13 03:03:19,270 semantic_segmentation INFO: Iters: 40020/50000 || Lr: 0.004690 || Task Loss: 0.0904 || KD Loss: 0.0194|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0750|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:13:39 || Estimated Time: 8:47:05
2023-07-13 03:03:51,808 semantic_segmentation INFO: Iters: 40030/50000 || Lr: 0.004686 || Task Loss: 0.0877 || KD Loss: 0.0233|| 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, 11:14:12 || Estimated Time: 8:46:33
2023-07-13 03:04:24,403 semantic_segmentation INFO: Iters: 40040/50000 || Lr: 0.004682 || Task Loss: 0.0955 || KD Loss: 0.0238|| 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, 11:14:44 || Estimated Time: 8:46:02
2023-07-13 03:04:57,056 semantic_segmentation INFO: Iters: 40050/50000 || Lr: 0.004678 || Task Loss: 0.0969 || KD Loss: 0.0233|| 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, 11:15:17 || Estimated Time: 8:45:31
2023-07-13 03:05:29,768 semantic_segmentation INFO: Iters: 40060/50000 || Lr: 0.004674 || Task Loss: 0.0919 || KD Loss: 0.0226|| 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, 11:15:50 || Estimated Time: 8:44:59
2023-07-13 03:06:02,515 semantic_segmentation INFO: Iters: 40070/50000 || Lr: 0.004669 || Task Loss: 0.0835 || KD Loss: 0.0233|| 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, 11:16:22 || Estimated Time: 8:44:28
2023-07-13 03:06:35,300 semantic_segmentation INFO: Iters: 40080/50000 || Lr: 0.004665 || Task Loss: 0.0902 || KD Loss: 0.0222|| 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, 11:16:55 || Estimated Time: 8:43:56
2023-07-13 03:07:08,038 semantic_segmentation INFO: Iters: 40090/50000 || Lr: 0.004661 || Task Loss: 0.0901 || KD Loss: 0.0232|| 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, 11:17:28 || Estimated Time: 8:43:25
2023-07-13 03:07:40,652 semantic_segmentation INFO: Iters: 40100/50000 || Lr: 0.004657 || Task Loss: 0.1124 || KD Loss: 0.0259|| 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, 11:18:00 || Estimated Time: 8:42:53
2023-07-13 03:08:13,169 semantic_segmentation INFO: Iters: 40110/50000 || Lr: 0.004652 || Task Loss: 0.0989 || KD Loss: 0.0217|| 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, 11:18:33 || Estimated Time: 8:42:22
2023-07-13 03:08:45,697 semantic_segmentation INFO: Iters: 40120/50000 || Lr: 0.004648 || Task Loss: 0.0972 || KD Loss: 0.0240|| 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, 11:19:05 || Estimated Time: 8:41:50
2023-07-13 03:09:18,051 semantic_segmentation INFO: Iters: 40130/50000 || Lr: 0.004644 || Task Loss: 0.1068 || KD Loss: 0.0215|| 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: 1 day, 11:19:38 || Estimated Time: 8:41:19
2023-07-13 03:09:50,491 semantic_segmentation INFO: Iters: 40140/50000 || Lr: 0.004640 || Task Loss: 0.0907 || KD Loss: 0.0246|| 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, 11:20:10 || Estimated Time: 8:40:47
2023-07-13 03:10:23,025 semantic_segmentation INFO: Iters: 40150/50000 || Lr: 0.004635 || Task Loss: 0.0986 || KD Loss: 0.0237|| 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, 11:20:43 || Estimated Time: 8:40:16
2023-07-13 03:10:55,574 semantic_segmentation INFO: Iters: 40160/50000 || Lr: 0.004631 || Task Loss: 0.0946 || KD Loss: 0.0271|| 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, 11:21:15 || Estimated Time: 8:39:44
2023-07-13 03:11:28,110 semantic_segmentation INFO: Iters: 40170/50000 || Lr: 0.004627 || Task Loss: 0.0869 || KD Loss: 0.0227|| 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, 11:21:48 || Estimated Time: 8:39:13
2023-07-13 03:12:00,630 semantic_segmentation INFO: Iters: 40180/50000 || Lr: 0.004623 || Task Loss: 0.0798 || KD Loss: 0.0213|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0776|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:22:20 || Estimated Time: 8:38:41
2023-07-13 03:12:33,246 semantic_segmentation INFO: Iters: 40190/50000 || Lr: 0.004618 || Task Loss: 0.0885 || KD Loss: 0.0210|| 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, 11:22:53 || Estimated Time: 8:38:10
2023-07-13 03:13:05,846 semantic_segmentation INFO: Iters: 40200/50000 || Lr: 0.004614 || Task Loss: 0.0962 || KD Loss: 0.0220|| 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, 11:23:26 || Estimated Time: 8:37:38
2023-07-13 03:13:38,574 semantic_segmentation INFO: Iters: 40210/50000 || Lr: 0.004610 || Task Loss: 0.0985 || KD Loss: 0.0226|| 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, 11:23:58 || Estimated Time: 8:37:07
2023-07-13 03:14:11,182 semantic_segmentation INFO: Iters: 40220/50000 || Lr: 0.004606 || Task Loss: 0.0893 || KD Loss: 0.0263|| 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, 11:24:31 || Estimated Time: 8:36:36
2023-07-13 03:14:43,744 semantic_segmentation INFO: Iters: 40230/50000 || Lr: 0.004602 || Task Loss: 0.0990 || 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, 11:25:04 || Estimated Time: 8:36:04
2023-07-13 03:15:16,277 semantic_segmentation INFO: Iters: 40240/50000 || Lr: 0.004597 || Task Loss: 0.0941 || KD Loss: 0.0235|| 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, 11:25:36 || Estimated Time: 8:35:33
2023-07-13 03:15:48,754 semantic_segmentation INFO: Iters: 40250/50000 || Lr: 0.004593 || Task Loss: 0.0830 || KD Loss: 0.0197|| 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, 11:26:09 || Estimated Time: 8:35:01
2023-07-13 03:16:21,168 semantic_segmentation INFO: Iters: 40260/50000 || Lr: 0.004589 || Task Loss: 0.0707 || KD Loss: 0.0230|| 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, 11:26:41 || Estimated Time: 8:34:30
2023-07-13 03:16:53,542 semantic_segmentation INFO: Iters: 40270/50000 || Lr: 0.004585 || Task Loss: 0.0753 || KD Loss: 0.0214|| 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, 11:27:13 || Estimated Time: 8:33:58
2023-07-13 03:17:26,036 semantic_segmentation INFO: Iters: 40280/50000 || Lr: 0.004580 || Task Loss: 0.0816 || KD Loss: 0.0217|| 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, 11:27:46 || Estimated Time: 8:33:26
2023-07-13 03:17:58,523 semantic_segmentation INFO: Iters: 40290/50000 || Lr: 0.004576 || Task Loss: 0.1033 || KD Loss: 0.0229|| 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, 11:28:18 || Estimated Time: 8:32:55
2023-07-13 03:18:31,084 semantic_segmentation INFO: Iters: 40300/50000 || Lr: 0.004572 || Task Loss: 0.0942 || KD Loss: 0.0224|| 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, 11:28:51 || Estimated Time: 8:32:24
2023-07-13 03:19:03,787 semantic_segmentation INFO: Iters: 40310/50000 || Lr: 0.004568 || Task Loss: 0.1037 || KD Loss: 0.0284|| 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, 11:29:24 || Estimated Time: 8:31:52
2023-07-13 03:19:36,376 semantic_segmentation INFO: Iters: 40320/50000 || Lr: 0.004563 || Task Loss: 0.0866 || KD Loss: 0.0262|| 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, 11:29:56 || Estimated Time: 8:31:21
2023-07-13 03:20:09,125 semantic_segmentation INFO: Iters: 40330/50000 || Lr: 0.004559 || Task Loss: 0.0980 || KD Loss: 0.0235|| 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, 11:30:29 || Estimated Time: 8:30:49
2023-07-13 03:20:41,939 semantic_segmentation INFO: Iters: 40340/50000 || Lr: 0.004555 || Task Loss: 0.0936 || KD Loss: 0.0238|| 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, 11:31:02 || Estimated Time: 8:30:18
2023-07-13 03:21:14,669 semantic_segmentation INFO: Iters: 40350/50000 || Lr: 0.004551 || Task Loss: 0.0869 || KD Loss: 0.0230|| 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, 11:31:34 || Estimated Time: 8:29:46
2023-07-13 03:21:47,280 semantic_segmentation INFO: Iters: 40360/50000 || Lr: 0.004546 || Task Loss: 0.0878 || KD Loss: 0.0274|| 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, 11:32:07 || Estimated Time: 8:29:15
2023-07-13 03:22:19,923 semantic_segmentation INFO: Iters: 40370/50000 || Lr: 0.004542 || Task Loss: 0.1208 || KD Loss: 0.0238|| 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, 11:32:40 || Estimated Time: 8:28:43
2023-07-13 03:22:52,496 semantic_segmentation INFO: Iters: 40380/50000 || Lr: 0.004538 || Task Loss: 0.0894 || KD Loss: 0.0247|| 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, 11:33:12 || Estimated Time: 8:28:12
2023-07-13 03:23:24,954 semantic_segmentation INFO: Iters: 40390/50000 || Lr: 0.004534 || Task Loss: 0.0729 || KD Loss: 0.0205|| 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, 11:33:45 || Estimated Time: 8:27:40
2023-07-13 03:23:57,315 semantic_segmentation INFO: Iters: 40400/50000 || Lr: 0.004529 || Task Loss: 0.0866 || KD Loss: 0.0233|| 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, 11:34:17 || Estimated Time: 8:27:09
2023-07-13 03:24:29,890 semantic_segmentation INFO: Iters: 40410/50000 || Lr: 0.004525 || Task Loss: 0.0813 || KD Loss: 0.0211|| 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, 11:34:50 || Estimated Time: 8:26:37
2023-07-13 03:25:02,485 semantic_segmentation INFO: Iters: 40420/50000 || Lr: 0.004521 || Task Loss: 0.0986 || KD Loss: 0.0210|| 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, 11:35:22 || Estimated Time: 8:26:06
2023-07-13 03:25:35,131 semantic_segmentation INFO: Iters: 40430/50000 || Lr: 0.004517 || Task Loss: 0.1006 || KD Loss: 0.0269|| 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, 11:35:55 || Estimated Time: 8:25:34
2023-07-13 03:26:07,801 semantic_segmentation INFO: Iters: 40440/50000 || Lr: 0.004512 || Task Loss: 0.0959 || KD Loss: 0.0234|| 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, 11:36:28 || Estimated Time: 8:25:03
2023-07-13 03:26:40,558 semantic_segmentation INFO: Iters: 40450/50000 || Lr: 0.004508 || Task Loss: 0.0822 || KD Loss: 0.0197|| 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, 11:37:00 || Estimated Time: 8:24:31
2023-07-13 03:27:13,317 semantic_segmentation INFO: Iters: 40460/50000 || Lr: 0.004504 || Task Loss: 0.0861 || 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, 11:37:33 || Estimated Time: 8:24:00
2023-07-13 03:27:46,088 semantic_segmentation INFO: Iters: 40470/50000 || Lr: 0.004500 || Task Loss: 0.0906 || KD Loss: 0.0206|| 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, 11:38:06 || Estimated Time: 8:23:29
2023-07-13 03:28:18,862 semantic_segmentation INFO: Iters: 40480/50000 || Lr: 0.004495 || Task Loss: 0.1083 || KD Loss: 0.0222|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0781|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:38:39 || Estimated Time: 8:22:57
2023-07-13 03:28:51,624 semantic_segmentation INFO: Iters: 40490/50000 || Lr: 0.004491 || Task Loss: 0.0818 || KD Loss: 0.0224|| 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, 11:39:11 || Estimated Time: 8:22:26
2023-07-13 03:29:24,359 semantic_segmentation INFO: Iters: 40500/50000 || Lr: 0.004487 || Task Loss: 0.0820 || KD Loss: 0.0202|| 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, 11:39:44 || Estimated Time: 8:21:54
2023-07-13 03:29:57,045 semantic_segmentation INFO: Iters: 40510/50000 || Lr: 0.004483 || Task Loss: 0.0941 || KD Loss: 0.0209|| 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, 11:40:17 || Estimated Time: 8:21:23
2023-07-13 03:30:29,535 semantic_segmentation INFO: Iters: 40520/50000 || Lr: 0.004478 || Task Loss: 0.0886 || KD Loss: 0.0252|| 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, 11:40:49 || Estimated Time: 8:20:51
2023-07-13 03:31:02,079 semantic_segmentation INFO: Iters: 40530/50000 || Lr: 0.004474 || Task Loss: 0.0774 || KD Loss: 0.0206|| 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, 11:41:22 || Estimated Time: 8:20:20
2023-07-13 03:31:34,448 semantic_segmentation INFO: Iters: 40540/50000 || Lr: 0.004470 || Task Loss: 0.0935 || KD Loss: 0.0215|| 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, 11:41:54 || Estimated Time: 8:19:48
2023-07-13 03:32:06,952 semantic_segmentation INFO: Iters: 40550/50000 || Lr: 0.004466 || Task Loss: 0.0948 || 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, 11:42:27 || Estimated Time: 8:19:17
2023-07-13 03:32:39,586 semantic_segmentation INFO: Iters: 40560/50000 || Lr: 0.004461 || Task Loss: 0.0927 || KD Loss: 0.0267|| 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, 11:42:59 || Estimated Time: 8:18:45
2023-07-13 03:33:12,290 semantic_segmentation INFO: Iters: 40570/50000 || Lr: 0.004457 || Task Loss: 0.0967 || KD Loss: 0.0255|| 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, 11:43:32 || Estimated Time: 8:18:14
2023-07-13 03:33:45,058 semantic_segmentation INFO: Iters: 40580/50000 || Lr: 0.004453 || Task Loss: 0.0895 || KD Loss: 0.0259|| 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, 11:44:05 || Estimated Time: 8:17:42
2023-07-13 03:34:17,894 semantic_segmentation INFO: Iters: 40590/50000 || Lr: 0.004449 || Task Loss: 0.0842 || KD Loss: 0.0219|| 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, 11:44:38 || Estimated Time: 8:17:11
2023-07-13 03:34:50,661 semantic_segmentation INFO: Iters: 40600/50000 || Lr: 0.004444 || Task Loss: 0.0890 || KD Loss: 0.0231|| 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, 11:45:10 || Estimated Time: 8:16:39
2023-07-13 03:35:23,443 semantic_segmentation INFO: Iters: 40610/50000 || Lr: 0.004440 || Task Loss: 0.0785 || KD Loss: 0.0225|| 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, 11:45:43 || Estimated Time: 8:16:08
2023-07-13 03:35:56,370 semantic_segmentation INFO: Iters: 40620/50000 || Lr: 0.004436 || Task Loss: 0.0762 || KD Loss: 0.0250|| 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, 11:46:16 || Estimated Time: 8:15:36
2023-07-13 03:36:29,366 semantic_segmentation INFO: Iters: 40630/50000 || Lr: 0.004432 || Task Loss: 0.1033 || KD Loss: 0.0237|| 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, 11:46:49 || Estimated Time: 8:15:05
2023-07-13 03:37:02,150 semantic_segmentation INFO: Iters: 40640/50000 || Lr: 0.004427 || Task Loss: 0.0978 || KD Loss: 0.0267|| 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, 11:47:22 || Estimated Time: 8:14:34
2023-07-13 03:37:34,842 semantic_segmentation INFO: Iters: 40650/50000 || Lr: 0.004423 || Task Loss: 0.1056 || KD Loss: 0.0228|| 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, 11:47:55 || Estimated Time: 8:14:02
2023-07-13 03:38:07,405 semantic_segmentation INFO: Iters: 40660/50000 || Lr: 0.004419 || Task Loss: 0.0926 || KD Loss: 0.0251|| 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, 11:48:27 || Estimated Time: 8:13:31
2023-07-13 03:38:39,825 semantic_segmentation INFO: Iters: 40670/50000 || Lr: 0.004415 || Task Loss: 0.0996 || KD Loss: 0.0249|| 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, 11:49:00 || Estimated Time: 8:12:59
2023-07-13 03:39:12,339 semantic_segmentation INFO: Iters: 40680/50000 || Lr: 0.004410 || Task Loss: 0.0902 || KD Loss: 0.0221|| 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, 11:49:32 || Estimated Time: 8:12:28
2023-07-13 03:39:44,728 semantic_segmentation INFO: Iters: 40690/50000 || Lr: 0.004406 || Task Loss: 0.0738 || KD Loss: 0.0227|| 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, 11:50:04 || Estimated Time: 8:11:56
2023-07-13 03:40:17,105 semantic_segmentation INFO: Iters: 40700/50000 || Lr: 0.004402 || Task Loss: 0.1001 || KD Loss: 0.0240|| 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, 11:50:37 || Estimated Time: 8:11:24
2023-07-13 03:40:49,727 semantic_segmentation INFO: Iters: 40710/50000 || Lr: 0.004398 || Task Loss: 0.0799 || KD Loss: 0.0271|| 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, 11:51:09 || Estimated Time: 8:10:53
2023-07-13 03:41:22,409 semantic_segmentation INFO: Iters: 40720/50000 || Lr: 0.004393 || Task Loss: 0.0872 || KD Loss: 0.0210|| 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, 11:51:42 || Estimated Time: 8:10:21
2023-07-13 03:41:55,001 semantic_segmentation INFO: Iters: 40730/50000 || Lr: 0.004389 || Task Loss: 0.0930 || KD Loss: 0.0240|| 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, 11:52:15 || Estimated Time: 8:09:50
2023-07-13 03:42:27,668 semantic_segmentation INFO: Iters: 40740/50000 || Lr: 0.004385 || Task Loss: 0.0911 || KD Loss: 0.0220|| 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, 11:52:47 || Estimated Time: 8:09:18
2023-07-13 03:43:00,355 semantic_segmentation INFO: Iters: 40750/50000 || Lr: 0.004381 || Task Loss: 0.0866 || KD Loss: 0.0263|| 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, 11:53:20 || Estimated Time: 8:08:47
2023-07-13 03:43:33,111 semantic_segmentation INFO: Iters: 40760/50000 || Lr: 0.004376 || Task Loss: 0.0820 || KD Loss: 0.0208|| 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, 11:53:53 || Estimated Time: 8:08:16
2023-07-13 03:44:05,885 semantic_segmentation INFO: Iters: 40770/50000 || Lr: 0.004372 || Task Loss: 0.0779 || KD Loss: 0.0229|| 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, 11:54:26 || Estimated Time: 8:07:44
2023-07-13 03:44:38,641 semantic_segmentation INFO: Iters: 40780/50000 || Lr: 0.004368 || Task Loss: 0.0964 || KD Loss: 0.0221|| 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, 11:54:58 || Estimated Time: 8:07:13
2023-07-13 03:45:11,414 semantic_segmentation INFO: Iters: 40790/50000 || Lr: 0.004363 || Task Loss: 0.0919 || KD Loss: 0.0225|| 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, 11:55:31 || Estimated Time: 8:06:41
2023-07-13 03:45:44,136 semantic_segmentation INFO: Iters: 40800/50000 || Lr: 0.004359 || Task Loss: 0.0989 || KD Loss: 0.0237|| 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, 11:56:04 || Estimated Time: 8:06:10
2023-07-13 03:45:44,229 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 03:45:44,439 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.963, mIoU: 0.742
2023-07-13 03:45:44,457 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.962, mIoU: 0.743
2023-07-13 03:45:44,472 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.743
2023-07-13 03:45:44,486 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.962, mIoU: 0.740
2023-07-13 03:45:44,499 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.961, mIoU: 0.735
2023-07-13 03:45:44,511 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-13 03:45:44,524 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 03:45:44,537 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.961, mIoU: 0.737
2023-07-13 03:45:44,551 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-13 03:45:44,564 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.961, mIoU: 0.735
2023-07-13 03:45:44,577 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.961, mIoU: 0.737
2023-07-13 03:45:44,590 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.959, mIoU: 0.736
2023-07-13 03:45:44,603 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-13 03:45:44,616 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.740
2023-07-13 03:45:44,630 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 03:45:44,643 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 03:45:44,663 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 03:45:44,684 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 03:45:44,698 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 03:45:44,717 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 03:45:44,735 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 03:45:44,752 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-13 03:45:44,765 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-13 03:45:44,778 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-13 03:45:44,791 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-13 03:45:44,804 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-13 03:45:44,817 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-13 03:45:44,830 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-13 03:45:44,843 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-13 03:45:44,856 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-13 03:45:44,869 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.958, mIoU: 0.742
2023-07-13 03:45:44,882 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 03:45:44,900 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-13 03:45:44,919 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 03:45:44,936 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 03:45:44,950 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 03:45:44,964 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-13 03:45:44,977 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-13 03:45:44,990 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-13 03:45:45,004 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.956, mIoU: 0.742
2023-07-13 03:45:45,017 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-13 03:45:45,030 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-13 03:45:45,044 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-13 03:45:45,057 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-13 03:45:45,076 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-13 03:45:45,095 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-13 03:45:45,112 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-13 03:45:45,126 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 03:45:45,146 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-13 03:45:45,165 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 03:45:45,178 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 03:45:45,191 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 03:45:45,204 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 03:45:45,217 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 03:45:45,229 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 03:45:45,242 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 03:45:45,256 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-13 03:45:45,268 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.953, mIoU: 0.754
2023-07-13 03:45:45,281 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 03:45:45,294 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 03:45:45,306 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 03:45:45,323 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-13 03:45:45,335 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-13 03:45:45,354 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 03:45:45,373 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 03:45:45,387 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 03:45:45,400 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-13 03:45:45,413 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-13 03:45:45,427 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 03:45:45,440 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 03:45:45,453 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 03:45:45,467 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 03:45:45,480 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 03:45:45,500 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 03:45:45,520 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 03:45:45,537 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 03:45:45,551 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 03:45:45,570 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 03:45:45,588 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 03:45:45,601 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 03:45:45,614 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 03:45:45,627 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 03:45:45,640 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 03:45:45,652 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 03:45:45,665 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-13 03:45:45,677 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.764
2023-07-13 03:45:45,690 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.764
2023-07-13 03:45:45,702 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 03:45:45,719 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 03:45:45,732 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.763
2023-07-13 03:45:45,752 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 03:45:45,765 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 03:45:45,779 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 03:45:45,796 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 03:45:45,810 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 03:45:45,823 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 03:45:45,836 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 03:45:45,850 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 03:45:45,863 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 03:45:45,877 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 03:45:45,890 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 03:46:18,735 semantic_segmentation INFO: Iters: 40810/50000 || Lr: 0.004355 || Task Loss: 0.1055 || KD Loss: 0.0210|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0739|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 11:56:38 || Estimated Time: 8:05:39
2023-07-13 03:46:51,237 semantic_segmentation INFO: Iters: 40820/50000 || Lr: 0.004351 || Task Loss: 0.0917 || KD Loss: 0.0208|| 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, 11:57:11 || Estimated Time: 8:05:07
2023-07-13 03:47:23,881 semantic_segmentation INFO: Iters: 40830/50000 || Lr: 0.004346 || Task Loss: 0.1058 || KD Loss: 0.0278|| 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, 11:57:44 || Estimated Time: 8:04:36
2023-07-13 03:47:56,432 semantic_segmentation INFO: Iters: 40840/50000 || Lr: 0.004342 || Task Loss: 0.0858 || KD Loss: 0.0235|| 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, 11:58:16 || Estimated Time: 8:04:04
2023-07-13 03:48:29,019 semantic_segmentation INFO: Iters: 40850/50000 || Lr: 0.004338 || Task Loss: 0.0854 || KD Loss: 0.0229|| 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, 11:58:49 || Estimated Time: 8:03:33
2023-07-13 03:49:01,607 semantic_segmentation INFO: Iters: 40860/50000 || Lr: 0.004334 || Task Loss: 0.0878 || KD Loss: 0.0235|| 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, 11:59:21 || Estimated Time: 8:03:01
2023-07-13 03:49:34,388 semantic_segmentation INFO: Iters: 40870/50000 || Lr: 0.004329 || Task Loss: 0.0918 || KD Loss: 0.0245|| 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, 11:59:54 || Estimated Time: 8:02:30
2023-07-13 03:50:07,140 semantic_segmentation INFO: Iters: 40880/50000 || Lr: 0.004325 || Task Loss: 0.0879 || KD Loss: 0.0214|| 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, 12:00:27 || Estimated Time: 8:01:58
2023-07-13 03:50:39,918 semantic_segmentation INFO: Iters: 40890/50000 || Lr: 0.004321 || Task Loss: 0.0992 || KD Loss: 0.0228|| 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, 12:01:00 || Estimated Time: 8:01:27
2023-07-13 03:51:12,679 semantic_segmentation INFO: Iters: 40900/50000 || Lr: 0.004317 || Task Loss: 0.0790 || KD Loss: 0.0224|| 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, 12:01:32 || Estimated Time: 8:00:55
2023-07-13 03:51:45,451 semantic_segmentation INFO: Iters: 40910/50000 || Lr: 0.004312 || Task Loss: 0.0949 || KD Loss: 0.0243|| 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, 12:02:05 || Estimated Time: 8:00:24
2023-07-13 03:52:18,055 semantic_segmentation INFO: Iters: 40920/50000 || Lr: 0.004308 || Task Loss: 0.0868 || KD Loss: 0.0196|| 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, 12:02:38 || Estimated Time: 7:59:52
2023-07-13 03:52:50,542 semantic_segmentation INFO: Iters: 40930/50000 || Lr: 0.004304 || Task Loss: 0.0756 || KD Loss: 0.0211|| 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, 12:03:10 || Estimated Time: 7:59:21
2023-07-13 03:53:22,954 semantic_segmentation INFO: Iters: 40940/50000 || Lr: 0.004299 || Task Loss: 0.0867 || KD Loss: 0.0198|| 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, 12:03:43 || Estimated Time: 7:58:49
2023-07-13 03:53:55,316 semantic_segmentation INFO: Iters: 40950/50000 || Lr: 0.004295 || Task Loss: 0.1086 || KD Loss: 0.0269|| 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, 12:04:15 || Estimated Time: 7:58:18
2023-07-13 03:54:27,843 semantic_segmentation INFO: Iters: 40960/50000 || Lr: 0.004291 || Task Loss: 0.1089 || KD Loss: 0.0212|| 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, 12:04:48 || Estimated Time: 7:57:46
2023-07-13 03:55:00,348 semantic_segmentation INFO: Iters: 40970/50000 || Lr: 0.004287 || Task Loss: 0.1009 || KD Loss: 0.0262|| 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, 12:05:20 || Estimated Time: 7:57:14
2023-07-13 03:55:32,914 semantic_segmentation INFO: Iters: 40980/50000 || Lr: 0.004282 || Task Loss: 0.0863 || KD Loss: 0.0217|| 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, 12:05:53 || Estimated Time: 7:56:43
2023-07-13 03:56:05,499 semantic_segmentation INFO: Iters: 40990/50000 || Lr: 0.004278 || Task Loss: 0.0863 || KD Loss: 0.0218|| 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, 12:06:25 || Estimated Time: 7:56:11
2023-07-13 03:56:38,110 semantic_segmentation INFO: Iters: 41000/50000 || Lr: 0.004274 || Task Loss: 0.0961 || KD Loss: 0.0255|| 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, 12:06:58 || Estimated Time: 7:55:40
2023-07-13 03:57:10,872 semantic_segmentation INFO: Iters: 41010/50000 || Lr: 0.004270 || Task Loss: 0.0862 || KD Loss: 0.0248|| 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, 12:07:31 || Estimated Time: 7:55:08
2023-07-13 03:57:43,535 semantic_segmentation INFO: Iters: 41020/50000 || Lr: 0.004265 || Task Loss: 0.0861 || KD Loss: 0.0248|| 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, 12:08:03 || Estimated Time: 7:54:37
2023-07-13 03:58:16,201 semantic_segmentation INFO: Iters: 41030/50000 || Lr: 0.004261 || Task Loss: 0.0871 || KD Loss: 0.0207|| 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, 12:08:36 || Estimated Time: 7:54:05
2023-07-13 03:58:48,976 semantic_segmentation INFO: Iters: 41040/50000 || Lr: 0.004257 || Task Loss: 0.0989 || KD Loss: 0.0227|| 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, 12:09:09 || Estimated Time: 7:53:34
2023-07-13 03:59:21,583 semantic_segmentation INFO: Iters: 41050/50000 || Lr: 0.004252 || Task Loss: 0.0825 || KD Loss: 0.0242|| 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, 12:09:41 || Estimated Time: 7:53:02
2023-07-13 03:59:54,067 semantic_segmentation INFO: Iters: 41060/50000 || Lr: 0.004248 || Task Loss: 0.0868 || KD Loss: 0.0253|| 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, 12:10:14 || Estimated Time: 7:52:31
2023-07-13 04:00:26,457 semantic_segmentation INFO: Iters: 41070/50000 || Lr: 0.004244 || Task Loss: 0.1006 || KD Loss: 0.0276|| 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, 12:10:46 || Estimated Time: 7:51:59
2023-07-13 04:00:58,798 semantic_segmentation INFO: Iters: 41080/50000 || Lr: 0.004240 || Task Loss: 0.0784 || KD Loss: 0.0225|| 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, 12:11:19 || Estimated Time: 7:51:28
2023-07-13 04:01:31,158 semantic_segmentation INFO: Iters: 41090/50000 || Lr: 0.004235 || Task Loss: 0.0945 || KD Loss: 0.0209|| 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, 12:11:51 || Estimated Time: 7:50:56
2023-07-13 04:02:03,741 semantic_segmentation INFO: Iters: 41100/50000 || Lr: 0.004231 || Task Loss: 0.0881 || KD Loss: 0.0218|| 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, 12:12:24 || Estimated Time: 7:50:25
2023-07-13 04:02:36,290 semantic_segmentation INFO: Iters: 41110/50000 || Lr: 0.004227 || Task Loss: 0.0870 || KD Loss: 0.0237|| 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, 12:12:56 || Estimated Time: 7:49:53
2023-07-13 04:03:09,013 semantic_segmentation INFO: Iters: 41120/50000 || Lr: 0.004223 || Task Loss: 0.0908 || KD Loss: 0.0225|| 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, 12:13:29 || Estimated Time: 7:49:22
2023-07-13 04:03:41,655 semantic_segmentation INFO: Iters: 41130/50000 || Lr: 0.004218 || Task Loss: 0.0935 || KD Loss: 0.0274|| 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, 12:14:01 || Estimated Time: 7:48:50
2023-07-13 04:04:14,375 semantic_segmentation INFO: Iters: 41140/50000 || Lr: 0.004214 || Task Loss: 0.0820 || KD Loss: 0.0256|| 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, 12:14:34 || Estimated Time: 7:48:19
2023-07-13 04:04:47,020 semantic_segmentation INFO: Iters: 41150/50000 || Lr: 0.004210 || Task Loss: 0.0855 || KD Loss: 0.0233|| 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, 12:15:07 || Estimated Time: 7:47:47
2023-07-13 04:05:19,755 semantic_segmentation INFO: Iters: 41160/50000 || Lr: 0.004205 || Task Loss: 0.0943 || KD Loss: 0.0246|| 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, 12:15:40 || Estimated Time: 7:47:16
2023-07-13 04:05:52,517 semantic_segmentation INFO: Iters: 41170/50000 || Lr: 0.004201 || Task Loss: 0.1072 || KD Loss: 0.0267|| 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, 12:16:12 || Estimated Time: 7:46:44
2023-07-13 04:06:25,066 semantic_segmentation INFO: Iters: 41180/50000 || Lr: 0.004197 || Task Loss: 0.0857 || KD Loss: 0.0229|| 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, 12:16:45 || Estimated Time: 7:46:13
2023-07-13 04:06:57,631 semantic_segmentation INFO: Iters: 41190/50000 || Lr: 0.004193 || Task Loss: 0.0894 || KD Loss: 0.0256|| 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, 12:17:17 || Estimated Time: 7:45:41
2023-07-13 04:07:30,082 semantic_segmentation INFO: Iters: 41200/50000 || Lr: 0.004188 || Task Loss: 0.0962 || KD Loss: 0.0279|| 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, 12:17:50 || Estimated Time: 7:45:09
2023-07-13 04:08:02,390 semantic_segmentation INFO: Iters: 41210/50000 || Lr: 0.004184 || Task Loss: 0.0945 || KD Loss: 0.0253|| 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, 12:18:22 || Estimated Time: 7:44:38
2023-07-13 04:08:34,731 semantic_segmentation INFO: Iters: 41220/50000 || Lr: 0.004180 || Task Loss: 0.1119 || KD Loss: 0.0279|| 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, 12:18:54 || Estimated Time: 7:44:06
2023-07-13 04:09:07,195 semantic_segmentation INFO: Iters: 41230/50000 || Lr: 0.004175 || Task Loss: 0.0870 || KD Loss: 0.0209|| 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, 12:19:27 || Estimated Time: 7:43:35
2023-07-13 04:09:39,815 semantic_segmentation INFO: Iters: 41240/50000 || Lr: 0.004171 || Task Loss: 0.0950 || KD Loss: 0.0280|| 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, 12:20:00 || Estimated Time: 7:43:03
2023-07-13 04:10:12,397 semantic_segmentation INFO: Iters: 41250/50000 || Lr: 0.004167 || Task Loss: 0.1171 || KD Loss: 0.0254|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0742|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:20:32 || Estimated Time: 7:42:32
2023-07-13 04:10:44,967 semantic_segmentation INFO: Iters: 41260/50000 || Lr: 0.004163 || Task Loss: 0.0884 || KD Loss: 0.0228|| 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, 12:21:05 || Estimated Time: 7:42:00
2023-07-13 04:11:17,656 semantic_segmentation INFO: Iters: 41270/50000 || Lr: 0.004158 || Task Loss: 0.0867 || KD Loss: 0.0225|| 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, 12:21:37 || Estimated Time: 7:41:29
2023-07-13 04:11:50,440 semantic_segmentation INFO: Iters: 41280/50000 || Lr: 0.004154 || Task Loss: 0.1090 || KD Loss: 0.0270|| 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, 12:22:10 || Estimated Time: 7:40:57
2023-07-13 04:12:23,224 semantic_segmentation INFO: Iters: 41290/50000 || Lr: 0.004150 || Task Loss: 0.0850 || KD Loss: 0.0206|| 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, 12:22:43 || Estimated Time: 7:40:26
2023-07-13 04:12:55,816 semantic_segmentation INFO: Iters: 41300/50000 || Lr: 0.004145 || Task Loss: 0.0935 || KD Loss: 0.0228|| 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, 12:23:16 || Estimated Time: 7:39:54
2023-07-13 04:13:28,350 semantic_segmentation INFO: Iters: 41310/50000 || Lr: 0.004141 || Task Loss: 0.0992 || KD Loss: 0.0233|| 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, 12:23:48 || Estimated Time: 7:39:23
2023-07-13 04:14:00,881 semantic_segmentation INFO: Iters: 41320/50000 || Lr: 0.004137 || Task Loss: 0.0850 || KD Loss: 0.0230|| 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, 12:24:21 || Estimated Time: 7:38:51
2023-07-13 04:14:33,297 semantic_segmentation INFO: Iters: 41330/50000 || Lr: 0.004133 || Task Loss: 0.0965 || KD Loss: 0.0260|| 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, 12:24:53 || Estimated Time: 7:38:19
2023-07-13 04:15:05,678 semantic_segmentation INFO: Iters: 41340/50000 || Lr: 0.004128 || Task Loss: 0.1033 || KD Loss: 0.0242|| 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, 12:25:25 || Estimated Time: 7:37:48
2023-07-13 04:15:38,134 semantic_segmentation INFO: Iters: 41350/50000 || Lr: 0.004124 || Task Loss: 0.0982 || KD Loss: 0.0218|| 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, 12:25:58 || Estimated Time: 7:37:16
2023-07-13 04:16:10,596 semantic_segmentation INFO: Iters: 41360/50000 || Lr: 0.004120 || Task Loss: 0.0893 || KD Loss: 0.0230|| 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, 12:26:30 || Estimated Time: 7:36:45
2023-07-13 04:16:43,170 semantic_segmentation INFO: Iters: 41370/50000 || Lr: 0.004115 || Task Loss: 0.0894 || KD Loss: 0.0227|| 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, 12:27:03 || Estimated Time: 7:36:13
2023-07-13 04:17:15,741 semantic_segmentation INFO: Iters: 41380/50000 || Lr: 0.004111 || Task Loss: 0.0818 || KD Loss: 0.0197|| 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, 12:27:36 || Estimated Time: 7:35:42
2023-07-13 04:17:48,402 semantic_segmentation INFO: Iters: 41390/50000 || Lr: 0.004107 || Task Loss: 0.0825 || KD Loss: 0.0224|| 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, 12:28:08 || Estimated Time: 7:35:10
2023-07-13 04:18:21,059 semantic_segmentation INFO: Iters: 41400/50000 || Lr: 0.004103 || Task Loss: 0.0906 || KD Loss: 0.0255|| 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, 12:28:41 || Estimated Time: 7:34:39
2023-07-13 04:18:53,801 semantic_segmentation INFO: Iters: 41410/50000 || Lr: 0.004098 || Task Loss: 0.1008 || KD Loss: 0.0280|| 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, 12:29:14 || Estimated Time: 7:34:07
2023-07-13 04:19:26,541 semantic_segmentation INFO: Iters: 41420/50000 || Lr: 0.004094 || Task Loss: 0.0912 || KD Loss: 0.0254|| 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, 12:29:46 || Estimated Time: 7:33:36
2023-07-13 04:19:59,349 semantic_segmentation INFO: Iters: 41430/50000 || Lr: 0.004090 || Task Loss: 0.0967 || KD Loss: 0.0243|| 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, 12:30:19 || Estimated Time: 7:33:04
2023-07-13 04:20:32,140 semantic_segmentation INFO: Iters: 41440/50000 || Lr: 0.004085 || Task Loss: 0.1005 || 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, 12:30:52 || Estimated Time: 7:32:33
2023-07-13 04:21:04,857 semantic_segmentation INFO: Iters: 41450/50000 || Lr: 0.004081 || Task Loss: 0.0960 || KD Loss: 0.0222|| 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, 12:31:25 || Estimated Time: 7:32:01
2023-07-13 04:21:37,860 semantic_segmentation INFO: Iters: 41460/50000 || Lr: 0.004077 || Task Loss: 0.0875 || KD Loss: 0.0208|| 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, 12:31:58 || Estimated Time: 7:31:30
2023-07-13 04:22:10,223 semantic_segmentation INFO: Iters: 41470/50000 || Lr: 0.004072 || Task Loss: 0.1092 || KD Loss: 0.0212|| 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, 12:32:30 || Estimated Time: 7:30:58
2023-07-13 04:22:42,655 semantic_segmentation INFO: Iters: 41480/50000 || Lr: 0.004068 || Task Loss: 0.0902 || KD Loss: 0.0215|| 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, 12:33:02 || Estimated Time: 7:30:26
2023-07-13 04:23:15,113 semantic_segmentation INFO: Iters: 41490/50000 || Lr: 0.004064 || Task Loss: 0.0928 || KD Loss: 0.0210|| 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, 12:33:35 || Estimated Time: 7:29:55
2023-07-13 04:23:47,635 semantic_segmentation INFO: Iters: 41500/50000 || Lr: 0.004060 || Task Loss: 0.0831 || KD Loss: 0.0219|| 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, 12:34:07 || Estimated Time: 7:29:23
2023-07-13 04:24:20,229 semantic_segmentation INFO: Iters: 41510/50000 || Lr: 0.004055 || Task Loss: 0.0840 || KD Loss: 0.0230|| 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, 12:34:40 || Estimated Time: 7:28:52
2023-07-13 04:24:52,904 semantic_segmentation INFO: Iters: 41520/50000 || Lr: 0.004051 || Task Loss: 0.0935 || KD Loss: 0.0240|| 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, 12:35:13 || Estimated Time: 7:28:20
2023-07-13 04:25:25,625 semantic_segmentation INFO: Iters: 41530/50000 || Lr: 0.004047 || Task Loss: 0.0998 || KD Loss: 0.0260|| 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, 12:35:45 || Estimated Time: 7:27:49
2023-07-13 04:25:58,259 semantic_segmentation INFO: Iters: 41540/50000 || Lr: 0.004042 || Task Loss: 0.0990 || KD Loss: 0.0222|| 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, 12:36:18 || Estimated Time: 7:27:17
2023-07-13 04:26:30,921 semantic_segmentation INFO: Iters: 41550/50000 || Lr: 0.004038 || Task Loss: 0.0827 || KD Loss: 0.0208|| 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, 12:36:51 || Estimated Time: 7:26:46
2023-07-13 04:27:03,669 semantic_segmentation INFO: Iters: 41560/50000 || Lr: 0.004034 || Task Loss: 0.0845 || KD Loss: 0.0236|| 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, 12:37:23 || Estimated Time: 7:26:14
2023-07-13 04:27:36,461 semantic_segmentation INFO: Iters: 41570/50000 || Lr: 0.004029 || Task Loss: 0.0869 || KD Loss: 0.0199|| 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, 12:37:56 || Estimated Time: 7:25:43
2023-07-13 04:28:09,231 semantic_segmentation INFO: Iters: 41580/50000 || Lr: 0.004025 || Task Loss: 0.1099 || KD Loss: 0.0237|| 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, 12:38:29 || Estimated Time: 7:25:11
2023-07-13 04:28:41,927 semantic_segmentation INFO: Iters: 41590/50000 || Lr: 0.004021 || Task Loss: 0.0964 || KD Loss: 0.0244|| 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, 12:39:02 || Estimated Time: 7:24:40
2023-07-13 04:29:14,589 semantic_segmentation INFO: Iters: 41600/50000 || Lr: 0.004017 || Task Loss: 0.0989 || KD Loss: 0.0244|| 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, 12:39:34 || Estimated Time: 7:24:08
2023-07-13 04:29:14,665 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 04:29:14,858 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-13 04:29:14,872 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.741
2023-07-13 04:29:14,976 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.741
2023-07-13 04:29:14,988 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 04:29:15,000 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.731
2023-07-13 04:29:15,013 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-13 04:29:15,026 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.962, mIoU: 0.733
2023-07-13 04:29:15,039 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-13 04:29:15,052 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-13 04:29:15,067 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.732
2023-07-13 04:29:15,081 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-13 04:29:15,097 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.733
2023-07-13 04:29:15,113 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-13 04:29:15,129 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-13 04:29:15,147 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-13 04:29:15,160 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-13 04:29:15,172 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 04:29:15,185 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-13 04:29:15,198 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 04:29:15,210 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 04:29:15,224 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 04:29:15,237 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 04:29:15,250 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 04:29:15,263 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-13 04:29:15,280 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.738
2023-07-13 04:29:15,292 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 04:29:15,309 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 04:29:15,323 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.739
2023-07-13 04:29:15,343 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 04:29:15,362 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 04:29:15,375 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 04:29:15,389 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 04:29:15,403 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 04:29:15,416 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 04:29:15,430 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 04:29:15,443 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.741
2023-07-13 04:29:15,457 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 04:29:15,470 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 04:29:15,484 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.739
2023-07-13 04:29:15,503 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 04:29:15,522 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.740
2023-07-13 04:29:15,540 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 04:29:15,556 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 04:29:15,570 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 04:29:15,589 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.743
2023-07-13 04:29:15,603 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 04:29:15,616 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 04:29:15,628 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 04:29:15,641 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 04:29:15,654 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-13 04:29:15,666 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 04:29:15,679 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 04:29:15,691 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 04:29:15,704 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 04:29:15,722 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 04:29:15,739 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 04:29:15,753 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 04:29:15,772 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 04:29:15,790 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 04:29:15,803 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 04:29:15,816 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 04:29:15,829 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 04:29:15,842 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 04:29:15,855 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 04:29:15,868 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 04:29:15,881 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 04:29:15,894 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 04:29:15,907 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-13 04:29:15,926 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-13 04:29:15,945 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 04:29:15,965 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 04:29:15,979 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 04:29:15,996 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 04:29:16,009 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 04:29:16,022 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 04:29:16,038 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 04:29:16,051 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 04:29:16,065 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 04:29:16,078 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 04:29:16,091 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 04:29:16,104 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 04:29:16,117 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 04:29:16,136 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 04:29:16,153 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 04:29:16,167 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 04:29:16,185 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 04:29:16,205 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 04:29:16,218 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 04:29:16,232 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 04:29:16,245 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 04:29:16,257 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 04:29:16,270 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 04:29:16,283 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 04:29:16,296 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 04:29:16,308 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 04:29:16,321 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 04:29:16,338 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 04:29:16,352 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 04:29:16,371 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 04:29:16,391 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 04:29:16,409 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 04:29:48,927 semantic_segmentation INFO: Iters: 41610/50000 || Lr: 0.004012 || Task Loss: 0.0890 || KD Loss: 0.0225|| 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, 12:40:09 || Estimated Time: 7:23:37
2023-07-13 04:30:21,442 semantic_segmentation INFO: Iters: 41620/50000 || Lr: 0.004008 || Task Loss: 0.0831 || KD Loss: 0.0227|| 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, 12:40:41 || Estimated Time: 7:23:05
2023-07-13 04:30:53,972 semantic_segmentation INFO: Iters: 41630/50000 || Lr: 0.004004 || Task Loss: 0.0897 || KD Loss: 0.0214|| 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, 12:41:14 || Estimated Time: 7:22:34
2023-07-13 04:31:26,570 semantic_segmentation INFO: Iters: 41640/50000 || Lr: 0.003999 || Task Loss: 0.0838 || KD Loss: 0.0208|| 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, 12:41:46 || Estimated Time: 7:22:02
2023-07-13 04:31:59,170 semantic_segmentation INFO: Iters: 41650/50000 || Lr: 0.003995 || Task Loss: 0.0940 || KD Loss: 0.0212|| 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, 12:42:19 || Estimated Time: 7:21:31
2023-07-13 04:32:31,792 semantic_segmentation INFO: Iters: 41660/50000 || Lr: 0.003991 || Task Loss: 0.0831 || KD Loss: 0.0203|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0763|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 12:42:52 || Estimated Time: 7:20:59
2023-07-13 04:33:04,471 semantic_segmentation INFO: Iters: 41670/50000 || Lr: 0.003986 || Task Loss: 0.0818 || KD Loss: 0.0243|| 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, 12:43:24 || Estimated Time: 7:20:28
2023-07-13 04:33:37,186 semantic_segmentation INFO: Iters: 41680/50000 || Lr: 0.003982 || Task Loss: 0.1079 || 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, 12:43:57 || Estimated Time: 7:19:56
2023-07-13 04:34:09,844 semantic_segmentation INFO: Iters: 41690/50000 || Lr: 0.003978 || Task Loss: 0.0908 || KD Loss: 0.0223|| 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, 12:44:30 || Estimated Time: 7:19:24
2023-07-13 04:34:42,579 semantic_segmentation INFO: Iters: 41700/50000 || Lr: 0.003974 || Task Loss: 0.0865 || KD Loss: 0.0239|| 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, 12:45:02 || Estimated Time: 7:18:53
2023-07-13 04:35:15,322 semantic_segmentation INFO: Iters: 41710/50000 || Lr: 0.003969 || Task Loss: 0.0962 || KD Loss: 0.0223|| 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, 12:45:35 || Estimated Time: 7:18:21
2023-07-13 04:35:47,885 semantic_segmentation INFO: Iters: 41720/50000 || Lr: 0.003965 || Task Loss: 0.0874 || KD Loss: 0.0226|| 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, 12:46:08 || Estimated Time: 7:17:50
2023-07-13 04:36:20,477 semantic_segmentation INFO: Iters: 41730/50000 || Lr: 0.003961 || Task Loss: 0.1035 || KD Loss: 0.0211|| 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, 12:46:40 || Estimated Time: 7:17:18
2023-07-13 04:36:52,949 semantic_segmentation INFO: Iters: 41740/50000 || Lr: 0.003956 || Task Loss: 0.0994 || KD Loss: 0.0237|| 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, 12:47:13 || Estimated Time: 7:16:47
2023-07-13 04:37:25,280 semantic_segmentation INFO: Iters: 41750/50000 || Lr: 0.003952 || Task Loss: 0.0875 || KD Loss: 0.0210|| 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, 12:47:45 || Estimated Time: 7:16:15
2023-07-13 04:37:57,654 semantic_segmentation INFO: Iters: 41760/50000 || Lr: 0.003948 || Task Loss: 0.0908 || KD Loss: 0.0217|| 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, 12:48:17 || Estimated Time: 7:15:44
2023-07-13 04:38:30,146 semantic_segmentation INFO: Iters: 41770/50000 || Lr: 0.003943 || Task Loss: 0.0905 || KD Loss: 0.0239|| 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, 12:48:50 || Estimated Time: 7:15:12
2023-07-13 04:39:02,639 semantic_segmentation INFO: Iters: 41780/50000 || Lr: 0.003939 || Task Loss: 0.1005 || KD Loss: 0.0241|| 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, 12:49:22 || Estimated Time: 7:14:40
2023-07-13 04:39:35,322 semantic_segmentation INFO: Iters: 41790/50000 || Lr: 0.003935 || Task Loss: 0.0994 || KD Loss: 0.0227|| 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, 12:49:55 || Estimated Time: 7:14:09
2023-07-13 04:40:07,956 semantic_segmentation INFO: Iters: 41800/50000 || Lr: 0.003930 || Task Loss: 0.0762 || KD Loss: 0.0195|| 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, 12:50:28 || Estimated Time: 7:13:37
2023-07-13 04:40:40,612 semantic_segmentation INFO: Iters: 41810/50000 || Lr: 0.003926 || Task Loss: 0.0804 || KD Loss: 0.0209|| 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, 12:51:00 || Estimated Time: 7:13:06
2023-07-13 04:41:13,244 semantic_segmentation INFO: Iters: 41820/50000 || Lr: 0.003922 || Task Loss: 0.0958 || KD Loss: 0.0234|| 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, 12:51:33 || Estimated Time: 7:12:34
2023-07-13 04:41:45,859 semantic_segmentation INFO: Iters: 41830/50000 || Lr: 0.003917 || Task Loss: 0.0796 || KD Loss: 0.0191|| 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, 12:52:06 || Estimated Time: 7:12:03
2023-07-13 04:42:18,633 semantic_segmentation INFO: Iters: 41840/50000 || Lr: 0.003913 || Task Loss: 0.1164 || KD Loss: 0.0271|| 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, 12:52:38 || Estimated Time: 7:11:31
2023-07-13 04:42:51,408 semantic_segmentation INFO: Iters: 41850/50000 || Lr: 0.003909 || Task Loss: 0.0986 || KD Loss: 0.0219|| 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, 12:53:11 || Estimated Time: 7:11:00
2023-07-13 04:43:24,084 semantic_segmentation INFO: Iters: 41860/50000 || Lr: 0.003905 || Task Loss: 0.1066 || KD Loss: 0.0226|| 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, 12:53:44 || Estimated Time: 7:10:28
2023-07-13 04:43:56,677 semantic_segmentation INFO: Iters: 41870/50000 || Lr: 0.003900 || Task Loss: 0.1084 || KD Loss: 0.0240|| 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, 12:54:16 || Estimated Time: 7:09:56
2023-07-13 04:44:29,218 semantic_segmentation INFO: Iters: 41880/50000 || Lr: 0.003896 || Task Loss: 0.0925 || KD Loss: 0.0229|| 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, 12:54:49 || Estimated Time: 7:09:25
2023-07-13 04:45:01,612 semantic_segmentation INFO: Iters: 41890/50000 || Lr: 0.003892 || Task Loss: 0.0924 || KD Loss: 0.0232|| 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, 12:55:21 || Estimated Time: 7:08:53
2023-07-13 04:45:33,983 semantic_segmentation INFO: Iters: 41900/50000 || Lr: 0.003887 || Task Loss: 0.0990 || KD Loss: 0.0219|| 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, 12:55:54 || Estimated Time: 7:08:22
2023-07-13 04:46:06,562 semantic_segmentation INFO: Iters: 41910/50000 || Lr: 0.003883 || Task Loss: 0.1032 || KD Loss: 0.0251|| 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, 12:56:26 || Estimated Time: 7:07:50
2023-07-13 04:46:39,114 semantic_segmentation INFO: Iters: 41920/50000 || Lr: 0.003879 || Task Loss: 0.1011 || KD Loss: 0.0230|| 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, 12:56:59 || Estimated Time: 7:07:19
2023-07-13 04:47:11,671 semantic_segmentation INFO: Iters: 41930/50000 || Lr: 0.003874 || Task Loss: 0.0810 || KD Loss: 0.0215|| 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, 12:57:31 || Estimated Time: 7:06:47
2023-07-13 04:47:44,215 semantic_segmentation INFO: Iters: 41940/50000 || Lr: 0.003870 || Task Loss: 0.0782 || KD Loss: 0.0245|| 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, 12:58:04 || Estimated Time: 7:06:15
2023-07-13 04:48:16,947 semantic_segmentation INFO: Iters: 41950/50000 || Lr: 0.003866 || Task Loss: 0.0931 || KD Loss: 0.0195|| 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: 1 day, 12:58:37 || Estimated Time: 7:05:44
2023-07-13 04:48:49,567 semantic_segmentation INFO: Iters: 41960/50000 || Lr: 0.003861 || Task Loss: 0.0982 || KD Loss: 0.0217|| 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, 12:59:09 || Estimated Time: 7:05:12
2023-07-13 04:49:22,348 semantic_segmentation INFO: Iters: 41970/50000 || Lr: 0.003857 || Task Loss: 0.0923 || KD Loss: 0.0233|| 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, 12:59:42 || Estimated Time: 7:04:41
2023-07-13 04:49:55,061 semantic_segmentation INFO: Iters: 41980/50000 || Lr: 0.003853 || Task Loss: 0.0934 || KD Loss: 0.0248|| 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, 13:00:15 || Estimated Time: 7:04:09
2023-07-13 04:50:27,619 semantic_segmentation INFO: Iters: 41990/50000 || Lr: 0.003848 || Task Loss: 0.0954 || KD Loss: 0.0291|| 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, 13:00:47 || Estimated Time: 7:03:38
2023-07-13 04:51:00,183 semantic_segmentation INFO: Iters: 42000/50000 || Lr: 0.003844 || Task Loss: 0.1002 || KD Loss: 0.0216|| 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: 1 day, 13:01:20 || Estimated Time: 7:03:06
2023-07-13 04:51:32,649 semantic_segmentation INFO: Iters: 42010/50000 || Lr: 0.003840 || Task Loss: 0.0907 || 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, 13:01:52 || Estimated Time: 7:02:34
2023-07-13 04:52:05,079 semantic_segmentation INFO: Iters: 42020/50000 || Lr: 0.003835 || Task Loss: 0.0915 || KD Loss: 0.0200|| 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, 13:02:25 || Estimated Time: 7:02:03
2023-07-13 04:52:37,461 semantic_segmentation INFO: Iters: 42030/50000 || Lr: 0.003831 || Task Loss: 0.0895 || KD Loss: 0.0241|| 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, 13:02:57 || Estimated Time: 7:01:31
2023-07-13 04:53:09,921 semantic_segmentation INFO: Iters: 42040/50000 || Lr: 0.003827 || Task Loss: 0.0874 || KD Loss: 0.0242|| 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, 13:03:30 || Estimated Time: 7:01:00
2023-07-13 04:53:42,554 semantic_segmentation INFO: Iters: 42050/50000 || Lr: 0.003822 || Task Loss: 0.1143 || KD Loss: 0.0217|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0732|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:04:02 || Estimated Time: 7:00:28
2023-07-13 04:54:15,132 semantic_segmentation INFO: Iters: 42060/50000 || Lr: 0.003818 || Task Loss: 0.0981 || KD Loss: 0.0232|| 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, 13:04:35 || Estimated Time: 6:59:57
2023-07-13 04:54:47,736 semantic_segmentation INFO: Iters: 42070/50000 || Lr: 0.003814 || Task Loss: 0.0971 || KD Loss: 0.0256|| 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, 13:05:07 || Estimated Time: 6:59:25
2023-07-13 04:55:20,466 semantic_segmentation INFO: Iters: 42080/50000 || Lr: 0.003809 || Task Loss: 0.0934 || KD Loss: 0.0297|| 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, 13:05:40 || Estimated Time: 6:58:53
2023-07-13 04:55:53,072 semantic_segmentation INFO: Iters: 42090/50000 || Lr: 0.003805 || Task Loss: 0.0968 || KD Loss: 0.0263|| 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, 13:06:13 || Estimated Time: 6:58:22
2023-07-13 04:56:25,834 semantic_segmentation INFO: Iters: 42100/50000 || Lr: 0.003801 || Task Loss: 0.0977 || KD Loss: 0.0201|| 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, 13:06:46 || Estimated Time: 6:57:50
2023-07-13 04:56:58,610 semantic_segmentation INFO: Iters: 42110/50000 || Lr: 0.003796 || Task Loss: 0.0910 || KD Loss: 0.0243|| 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, 13:07:18 || Estimated Time: 6:57:19
2023-07-13 04:57:31,379 semantic_segmentation INFO: Iters: 42120/50000 || Lr: 0.003792 || Task Loss: 0.0937 || KD Loss: 0.0216|| 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, 13:07:51 || Estimated Time: 6:56:47
2023-07-13 04:58:04,136 semantic_segmentation INFO: Iters: 42130/50000 || Lr: 0.003788 || Task Loss: 0.0914 || KD Loss: 0.0193|| 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, 13:08:24 || Estimated Time: 6:56:16
2023-07-13 04:58:36,867 semantic_segmentation INFO: Iters: 42140/50000 || Lr: 0.003783 || Task Loss: 0.0848 || KD Loss: 0.0224|| 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, 13:08:57 || Estimated Time: 6:55:44
2023-07-13 04:59:09,399 semantic_segmentation INFO: Iters: 42150/50000 || Lr: 0.003779 || Task Loss: 0.0986 || KD Loss: 0.0249|| 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, 13:09:29 || Estimated Time: 6:55:13
2023-07-13 04:59:41,826 semantic_segmentation INFO: Iters: 42160/50000 || Lr: 0.003775 || Task Loss: 0.0830 || KD Loss: 0.0244|| 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, 13:10:02 || Estimated Time: 6:54:41
2023-07-13 05:00:14,300 semantic_segmentation INFO: Iters: 42170/50000 || Lr: 0.003770 || Task Loss: 0.0753 || KD Loss: 0.0239|| 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, 13:10:34 || Estimated Time: 6:54:09
2023-07-13 05:00:46,643 semantic_segmentation INFO: Iters: 42180/50000 || Lr: 0.003766 || Task Loss: 0.0928 || KD Loss: 0.0247|| 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, 13:11:06 || Estimated Time: 6:53:38
2023-07-13 05:01:19,063 semantic_segmentation INFO: Iters: 42190/50000 || Lr: 0.003762 || Task Loss: 0.0914 || 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, 13:11:39 || Estimated Time: 6:53:06
2023-07-13 05:01:51,631 semantic_segmentation INFO: Iters: 42200/50000 || Lr: 0.003757 || Task Loss: 0.1042 || KD Loss: 0.0243|| 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, 13:12:11 || Estimated Time: 6:52:34
2023-07-13 05:02:24,184 semantic_segmentation INFO: Iters: 42210/50000 || Lr: 0.003753 || Task Loss: 0.0946 || KD Loss: 0.0220|| 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, 13:12:44 || Estimated Time: 6:52:03
2023-07-13 05:02:56,777 semantic_segmentation INFO: Iters: 42220/50000 || Lr: 0.003749 || Task Loss: 0.0949 || KD Loss: 0.0208|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0798|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:13:17 || Estimated Time: 6:51:31
2023-07-13 05:03:29,548 semantic_segmentation INFO: Iters: 42230/50000 || Lr: 0.003744 || Task Loss: 0.1001 || KD Loss: 0.0280|| 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, 13:13:49 || Estimated Time: 6:51:00
2023-07-13 05:04:02,291 semantic_segmentation INFO: Iters: 42240/50000 || Lr: 0.003740 || Task Loss: 0.0928 || KD Loss: 0.0203|| 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, 13:14:22 || Estimated Time: 6:50:28
2023-07-13 05:04:35,080 semantic_segmentation INFO: Iters: 42250/50000 || Lr: 0.003736 || Task Loss: 0.0933 || KD Loss: 0.0205|| 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, 13:14:55 || Estimated Time: 6:49:57
2023-07-13 05:05:07,809 semantic_segmentation INFO: Iters: 42260/50000 || Lr: 0.003731 || Task Loss: 0.0939 || KD Loss: 0.0209|| 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, 13:15:28 || Estimated Time: 6:49:25
2023-07-13 05:05:40,401 semantic_segmentation INFO: Iters: 42270/50000 || Lr: 0.003727 || Task Loss: 0.0812 || KD Loss: 0.0215|| 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, 13:16:00 || Estimated Time: 6:48:54
2023-07-13 05:06:13,186 semantic_segmentation INFO: Iters: 42280/50000 || Lr: 0.003723 || Task Loss: 0.0843 || KD Loss: 0.0212|| 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, 13:16:33 || Estimated Time: 6:48:22
2023-07-13 05:06:45,843 semantic_segmentation INFO: Iters: 42290/50000 || Lr: 0.003718 || Task Loss: 0.0865 || KD Loss: 0.0244|| 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, 13:17:06 || Estimated Time: 6:47:50
2023-07-13 05:07:18,406 semantic_segmentation INFO: Iters: 42300/50000 || Lr: 0.003714 || Task Loss: 0.0924 || KD Loss: 0.0211|| 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, 13:17:38 || Estimated Time: 6:47:19
2023-07-13 05:07:50,864 semantic_segmentation INFO: Iters: 42310/50000 || Lr: 0.003710 || Task Loss: 0.0736 || KD Loss: 0.0227|| 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, 13:18:11 || Estimated Time: 6:46:47
2023-07-13 05:08:23,395 semantic_segmentation INFO: Iters: 42320/50000 || Lr: 0.003705 || Task Loss: 0.1022 || KD Loss: 0.0267|| 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, 13:18:43 || Estimated Time: 6:46:16
2023-07-13 05:08:55,988 semantic_segmentation INFO: Iters: 42330/50000 || Lr: 0.003701 || Task Loss: 0.0864 || KD Loss: 0.0239|| 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, 13:19:16 || Estimated Time: 6:45:44
2023-07-13 05:09:28,606 semantic_segmentation INFO: Iters: 42340/50000 || Lr: 0.003697 || Task Loss: 0.0874 || KD Loss: 0.0213|| 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, 13:19:48 || Estimated Time: 6:45:12
2023-07-13 05:10:01,325 semantic_segmentation INFO: Iters: 42350/50000 || Lr: 0.003692 || Task Loss: 0.0834 || KD Loss: 0.0240|| 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, 13:20:21 || Estimated Time: 6:44:41
2023-07-13 05:10:34,003 semantic_segmentation INFO: Iters: 42360/50000 || Lr: 0.003688 || Task Loss: 0.0935 || KD Loss: 0.0241|| 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, 13:20:54 || Estimated Time: 6:44:09
2023-07-13 05:11:06,758 semantic_segmentation INFO: Iters: 42370/50000 || Lr: 0.003684 || Task Loss: 0.1075 || KD Loss: 0.0247|| 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, 13:21:27 || Estimated Time: 6:43:38
2023-07-13 05:11:39,617 semantic_segmentation INFO: Iters: 42380/50000 || Lr: 0.003679 || Task Loss: 0.0985 || KD Loss: 0.0238|| 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, 13:21:59 || Estimated Time: 6:43:06
2023-07-13 05:12:12,379 semantic_segmentation INFO: Iters: 42390/50000 || Lr: 0.003675 || Task Loss: 0.0960 || KD Loss: 0.0245|| 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, 13:22:32 || Estimated Time: 6:42:35
2023-07-13 05:12:45,166 semantic_segmentation INFO: Iters: 42400/50000 || Lr: 0.003671 || Task Loss: 0.0952 || KD Loss: 0.0282|| 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, 13:23:05 || Estimated Time: 6:42:03
2023-07-13 05:12:45,244 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 05:12:45,432 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.743
2023-07-13 05:12:45,471 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.742
2023-07-13 05:12:45,483 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.743
2023-07-13 05:12:45,495 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 05:12:45,507 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.734
2023-07-13 05:12:45,520 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 05:12:45,532 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 05:12:45,545 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 05:12:45,557 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 05:12:45,569 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 05:12:45,582 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-13 05:12:45,594 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-13 05:12:45,606 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-13 05:12:45,619 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 05:12:45,631 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-13 05:12:45,647 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 05:12:45,660 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 05:12:45,677 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-13 05:12:45,693 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 05:12:45,711 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 05:12:45,724 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 05:12:45,742 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 05:12:45,755 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 05:12:45,769 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 05:12:45,783 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 05:12:45,798 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 05:12:45,811 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 05:12:45,824 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 05:12:45,837 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 05:12:45,850 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 05:12:45,864 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 05:12:45,877 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 05:12:45,895 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 05:12:45,914 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 05:12:45,933 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 05:12:45,951 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 05:12:45,965 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 05:12:45,979 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 05:12:45,996 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 05:12:46,012 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 05:12:46,025 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 05:12:46,039 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 05:12:46,053 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 05:12:46,067 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 05:12:46,081 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-13 05:12:46,099 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 05:12:46,119 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 05:12:46,137 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-13 05:12:46,153 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 05:12:46,167 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-13 05:12:46,180 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-13 05:12:46,193 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-13 05:12:46,206 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 05:12:46,220 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 05:12:46,233 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 05:12:46,245 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 05:12:46,258 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 05:12:46,271 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-13 05:12:46,284 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 05:12:46,300 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 05:12:46,316 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 05:12:46,331 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 05:12:46,345 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 05:12:46,365 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-13 05:12:46,379 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 05:12:46,394 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 05:12:46,407 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-13 05:12:46,421 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-13 05:12:46,434 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-13 05:12:46,448 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 05:12:46,462 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 05:12:46,478 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-13 05:12:46,494 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 05:12:46,514 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 05:12:46,534 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 05:12:46,552 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 05:12:46,566 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.768
2023-07-13 05:12:46,579 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 05:12:46,592 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 05:12:46,604 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-13 05:12:46,617 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-13 05:12:46,630 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.767
2023-07-13 05:12:46,643 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 05:12:46,655 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 05:12:46,668 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 05:12:46,683 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 05:12:46,700 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 05:12:46,716 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.766
2023-07-13 05:12:46,729 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.766
2023-07-13 05:12:46,748 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 05:12:46,762 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 05:12:46,776 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 05:12:46,789 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 05:12:46,809 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 05:12:46,823 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 05:12:46,837 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 05:12:46,850 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 05:12:46,864 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 05:12:46,878 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 05:12:46,892 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 05:12:46,906 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 05:13:19,961 semantic_segmentation INFO: Iters: 42410/50000 || Lr: 0.003666 || Task Loss: 0.1063 || KD Loss: 0.0215|| 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, 13:23:40 || Estimated Time: 6:41:32
2023-07-13 05:13:52,680 semantic_segmentation INFO: Iters: 42420/50000 || Lr: 0.003662 || Task Loss: 0.0879 || KD Loss: 0.0204|| 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, 13:24:12 || Estimated Time: 6:41:00
2023-07-13 05:14:25,267 semantic_segmentation INFO: Iters: 42430/50000 || Lr: 0.003658 || Task Loss: 0.1028 || KD Loss: 0.0209|| 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, 13:24:45 || Estimated Time: 6:40:29
2023-07-13 05:14:57,834 semantic_segmentation INFO: Iters: 42440/50000 || Lr: 0.003653 || Task Loss: 0.0808 || KD Loss: 0.0227|| 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, 13:25:18 || Estimated Time: 6:39:57
2023-07-13 05:15:30,300 semantic_segmentation INFO: Iters: 42450/50000 || Lr: 0.003649 || Task Loss: 0.0971 || KD Loss: 0.0211|| 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, 13:25:50 || Estimated Time: 6:39:26
2023-07-13 05:16:02,724 semantic_segmentation INFO: Iters: 42460/50000 || Lr: 0.003645 || Task Loss: 0.1012 || KD Loss: 0.0210|| 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, 13:26:22 || Estimated Time: 6:38:54
2023-07-13 05:16:35,131 semantic_segmentation INFO: Iters: 42470/50000 || Lr: 0.003640 || Task Loss: 0.0943 || KD Loss: 0.0211|| 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, 13:26:55 || Estimated Time: 6:38:22
2023-07-13 05:17:07,884 semantic_segmentation INFO: Iters: 42480/50000 || Lr: 0.003636 || Task Loss: 0.0967 || KD Loss: 0.0258|| 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, 13:27:28 || Estimated Time: 6:37:51
2023-07-13 05:17:40,554 semantic_segmentation INFO: Iters: 42490/50000 || Lr: 0.003631 || Task Loss: 0.1107 || KD Loss: 0.0239|| 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, 13:28:00 || Estimated Time: 6:37:19
2023-07-13 05:18:13,214 semantic_segmentation INFO: Iters: 42500/50000 || Lr: 0.003627 || Task Loss: 0.1069 || KD Loss: 0.0263|| 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, 13:28:33 || Estimated Time: 6:36:48
2023-07-13 05:18:45,789 semantic_segmentation INFO: Iters: 42510/50000 || Lr: 0.003623 || Task Loss: 0.1041 || KD Loss: 0.0218|| 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, 13:29:06 || Estimated Time: 6:36:16
2023-07-13 05:19:18,524 semantic_segmentation INFO: Iters: 42520/50000 || Lr: 0.003618 || Task Loss: 0.0918 || KD Loss: 0.0236|| 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, 13:29:38 || Estimated Time: 6:35:44
2023-07-13 05:19:51,313 semantic_segmentation INFO: Iters: 42530/50000 || Lr: 0.003614 || Task Loss: 0.0918 || KD Loss: 0.0226|| 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, 13:30:11 || Estimated Time: 6:35:13
2023-07-13 05:20:24,111 semantic_segmentation INFO: Iters: 42540/50000 || Lr: 0.003610 || Task Loss: 0.0932 || KD Loss: 0.0217|| 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, 13:30:44 || Estimated Time: 6:34:41
2023-07-13 05:20:56,846 semantic_segmentation INFO: Iters: 42550/50000 || Lr: 0.003605 || Task Loss: 0.0887 || KD Loss: 0.0214|| 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, 13:31:17 || Estimated Time: 6:34:10
2023-07-13 05:21:29,630 semantic_segmentation INFO: Iters: 42560/50000 || Lr: 0.003601 || Task Loss: 0.0926 || KD Loss: 0.0211|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0729|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:31:49 || Estimated Time: 6:33:38
2023-07-13 05:22:02,405 semantic_segmentation INFO: Iters: 42570/50000 || Lr: 0.003597 || Task Loss: 0.0927 || KD Loss: 0.0228|| 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, 13:32:22 || Estimated Time: 6:33:07
2023-07-13 05:22:35,193 semantic_segmentation INFO: Iters: 42580/50000 || Lr: 0.003592 || Task Loss: 0.0910 || KD Loss: 0.0281|| 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, 13:32:55 || Estimated Time: 6:32:35
2023-07-13 05:23:07,876 semantic_segmentation INFO: Iters: 42590/50000 || Lr: 0.003588 || Task Loss: 0.0912 || KD Loss: 0.0240|| 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, 13:33:28 || Estimated Time: 6:32:03
2023-07-13 05:23:40,312 semantic_segmentation INFO: Iters: 42600/50000 || Lr: 0.003584 || Task Loss: 0.0802 || KD Loss: 0.0244|| 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, 13:34:00 || Estimated Time: 6:31:32
2023-07-13 05:24:12,858 semantic_segmentation INFO: Iters: 42610/50000 || Lr: 0.003579 || Task Loss: 0.0983 || KD Loss: 0.0214|| 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, 13:34:33 || Estimated Time: 6:31:00
2023-07-13 05:24:45,276 semantic_segmentation INFO: Iters: 42620/50000 || Lr: 0.003575 || Task Loss: 0.0865 || KD Loss: 0.0231|| 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, 13:35:05 || Estimated Time: 6:30:29
2023-07-13 05:25:17,794 semantic_segmentation INFO: Iters: 42630/50000 || Lr: 0.003571 || Task Loss: 0.0986 || KD Loss: 0.0231|| 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, 13:35:38 || Estimated Time: 6:29:57
2023-07-13 05:25:50,349 semantic_segmentation INFO: Iters: 42640/50000 || Lr: 0.003566 || Task Loss: 0.0879 || KD Loss: 0.0262|| 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, 13:36:10 || Estimated Time: 6:29:25
2023-07-13 05:26:23,081 semantic_segmentation INFO: Iters: 42650/50000 || Lr: 0.003562 || Task Loss: 0.0877 || KD Loss: 0.0221|| 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, 13:36:43 || Estimated Time: 6:28:54
2023-07-13 05:26:55,662 semantic_segmentation INFO: Iters: 42660/50000 || Lr: 0.003557 || Task Loss: 0.0782 || KD Loss: 0.0227|| 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, 13:37:15 || Estimated Time: 6:28:22
2023-07-13 05:27:28,395 semantic_segmentation INFO: Iters: 42670/50000 || Lr: 0.003553 || Task Loss: 0.0888 || KD Loss: 0.0231|| 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, 13:37:48 || Estimated Time: 6:27:51
2023-07-13 05:28:01,096 semantic_segmentation INFO: Iters: 42680/50000 || Lr: 0.003549 || Task Loss: 0.0865 || KD Loss: 0.0224|| 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, 13:38:21 || Estimated Time: 6:27:19
2023-07-13 05:28:33,872 semantic_segmentation INFO: Iters: 42690/50000 || Lr: 0.003544 || Task Loss: 0.0947 || KD Loss: 0.0230|| 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, 13:38:54 || Estimated Time: 6:26:47
2023-07-13 05:29:06,654 semantic_segmentation INFO: Iters: 42700/50000 || Lr: 0.003540 || Task Loss: 0.0907 || KD Loss: 0.0226|| 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, 13:39:26 || Estimated Time: 6:26:16
2023-07-13 05:29:39,470 semantic_segmentation INFO: Iters: 42710/50000 || Lr: 0.003536 || Task Loss: 0.0833 || KD Loss: 0.0231|| 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, 13:39:59 || Estimated Time: 6:25:44
2023-07-13 05:30:12,244 semantic_segmentation INFO: Iters: 42720/50000 || Lr: 0.003531 || Task Loss: 0.0860 || KD Loss: 0.0201|| 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, 13:40:32 || Estimated Time: 6:25:13
2023-07-13 05:30:45,025 semantic_segmentation INFO: Iters: 42730/50000 || Lr: 0.003527 || Task Loss: 0.1018 || 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, 13:41:05 || Estimated Time: 6:24:41
2023-07-13 05:31:17,728 semantic_segmentation INFO: Iters: 42740/50000 || Lr: 0.003523 || Task Loss: 0.0826 || KD Loss: 0.0261|| 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, 13:41:37 || Estimated Time: 6:24:10
2023-07-13 05:31:50,279 semantic_segmentation INFO: Iters: 42750/50000 || Lr: 0.003518 || Task Loss: 0.1069 || KD Loss: 0.0225|| 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, 13:42:10 || Estimated Time: 6:23:38
2023-07-13 05:32:22,695 semantic_segmentation INFO: Iters: 42760/50000 || Lr: 0.003514 || Task Loss: 0.0954 || KD Loss: 0.0254|| 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, 13:42:42 || Estimated Time: 6:23:06
2023-07-13 05:32:55,185 semantic_segmentation INFO: Iters: 42770/50000 || Lr: 0.003509 || Task Loss: 0.0967 || KD Loss: 0.0253|| 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, 13:43:15 || Estimated Time: 6:22:35
2023-07-13 05:33:27,651 semantic_segmentation INFO: Iters: 42780/50000 || Lr: 0.003505 || Task Loss: 0.0846 || KD Loss: 0.0221|| 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, 13:43:47 || Estimated Time: 6:22:03
2023-07-13 05:34:00,222 semantic_segmentation INFO: Iters: 42790/50000 || Lr: 0.003501 || Task Loss: 0.0899 || KD Loss: 0.0211|| 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, 13:44:20 || Estimated Time: 6:21:31
2023-07-13 05:34:32,911 semantic_segmentation INFO: Iters: 42800/50000 || Lr: 0.003496 || Task Loss: 0.1094 || KD Loss: 0.0212|| 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, 13:44:53 || Estimated Time: 6:21:00
2023-07-13 05:35:05,522 semantic_segmentation INFO: Iters: 42810/50000 || Lr: 0.003492 || Task Loss: 0.0844 || KD Loss: 0.0205|| 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, 13:45:25 || Estimated Time: 6:20:28
2023-07-13 05:35:38,192 semantic_segmentation INFO: Iters: 42820/50000 || Lr: 0.003488 || Task Loss: 0.0834 || KD Loss: 0.0248|| 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, 13:45:58 || Estimated Time: 6:19:57
2023-07-13 05:36:10,867 semantic_segmentation INFO: Iters: 42830/50000 || Lr: 0.003483 || Task Loss: 0.0965 || KD Loss: 0.0212|| 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, 13:46:31 || Estimated Time: 6:19:25
2023-07-13 05:36:43,482 semantic_segmentation INFO: Iters: 42840/50000 || Lr: 0.003479 || Task Loss: 0.0933 || KD Loss: 0.0222|| 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, 13:47:03 || Estimated Time: 6:18:53
2023-07-13 05:37:16,226 semantic_segmentation INFO: Iters: 42850/50000 || Lr: 0.003474 || Task Loss: 0.0895 || KD Loss: 0.0208|| 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, 13:47:36 || Estimated Time: 6:18:22
2023-07-13 05:37:48,936 semantic_segmentation INFO: Iters: 42860/50000 || Lr: 0.003470 || Task Loss: 0.1027 || KD Loss: 0.0221|| 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, 13:48:09 || Estimated Time: 6:17:50
2023-07-13 05:38:21,532 semantic_segmentation INFO: Iters: 42870/50000 || Lr: 0.003466 || Task Loss: 0.0877 || KD Loss: 0.0195|| 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, 13:48:41 || Estimated Time: 6:17:19
2023-07-13 05:38:54,097 semantic_segmentation INFO: Iters: 42880/50000 || Lr: 0.003461 || Task Loss: 0.0802 || KD Loss: 0.0224|| 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, 13:49:14 || Estimated Time: 6:16:47
2023-07-13 05:39:26,549 semantic_segmentation INFO: Iters: 42890/50000 || Lr: 0.003457 || Task Loss: 0.0910 || KD Loss: 0.0220|| 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, 13:49:46 || Estimated Time: 6:16:15
2023-07-13 05:39:59,013 semantic_segmentation INFO: Iters: 42900/50000 || Lr: 0.003453 || Task Loss: 0.0908 || KD Loss: 0.0231|| 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, 13:50:19 || Estimated Time: 6:15:44
2023-07-13 05:40:31,517 semantic_segmentation INFO: Iters: 42910/50000 || Lr: 0.003448 || Task Loss: 0.0977 || KD Loss: 0.0284|| 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, 13:50:51 || Estimated Time: 6:15:12
2023-07-13 05:41:03,906 semantic_segmentation INFO: Iters: 42920/50000 || Lr: 0.003444 || Task Loss: 0.1063 || KD Loss: 0.0215|| 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, 13:51:24 || Estimated Time: 6:14:40
2023-07-13 05:41:36,354 semantic_segmentation INFO: Iters: 42930/50000 || Lr: 0.003439 || Task Loss: 0.0900 || KD Loss: 0.0248|| 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, 13:51:56 || Estimated Time: 6:14:09
2023-07-13 05:42:08,909 semantic_segmentation INFO: Iters: 42940/50000 || Lr: 0.003435 || Task Loss: 0.0873 || KD Loss: 0.0193|| 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, 13:52:29 || Estimated Time: 6:13:37
2023-07-13 05:42:41,581 semantic_segmentation INFO: Iters: 42950/50000 || Lr: 0.003431 || Task Loss: 0.0800 || KD Loss: 0.0201|| 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, 13:53:01 || Estimated Time: 6:13:06
2023-07-13 05:43:14,157 semantic_segmentation INFO: Iters: 42960/50000 || Lr: 0.003426 || Task Loss: 0.0924 || KD Loss: 0.0216|| 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, 13:53:34 || Estimated Time: 6:12:34
2023-07-13 05:43:46,737 semantic_segmentation INFO: Iters: 42970/50000 || Lr: 0.003422 || Task Loss: 0.0796 || KD Loss: 0.0226|| 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, 13:54:06 || Estimated Time: 6:12:02
2023-07-13 05:44:19,344 semantic_segmentation INFO: Iters: 42980/50000 || Lr: 0.003418 || Task Loss: 0.1090 || KD Loss: 0.0193|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0743|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 13:54:39 || Estimated Time: 6:11:31
2023-07-13 05:44:52,055 semantic_segmentation INFO: Iters: 42990/50000 || Lr: 0.003413 || Task Loss: 0.0932 || KD Loss: 0.0219|| 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, 13:55:12 || Estimated Time: 6:10:59
2023-07-13 05:45:24,682 semantic_segmentation INFO: Iters: 43000/50000 || Lr: 0.003409 || Task Loss: 0.0835 || KD Loss: 0.0200|| 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, 13:55:44 || Estimated Time: 6:10:28
2023-07-13 05:45:57,233 semantic_segmentation INFO: Iters: 43010/50000 || Lr: 0.003404 || Task Loss: 0.0933 || KD Loss: 0.0237|| 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, 13:56:17 || Estimated Time: 6:09:56
2023-07-13 05:46:29,760 semantic_segmentation INFO: Iters: 43020/50000 || Lr: 0.003400 || Task Loss: 0.0885 || KD Loss: 0.0213|| 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, 13:56:50 || Estimated Time: 6:09:24
2023-07-13 05:47:02,160 semantic_segmentation INFO: Iters: 43030/50000 || Lr: 0.003396 || Task Loss: 0.0898 || KD Loss: 0.0226|| 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, 13:57:22 || Estimated Time: 6:08:53
2023-07-13 05:47:34,457 semantic_segmentation INFO: Iters: 43040/50000 || Lr: 0.003391 || Task Loss: 0.0872 || KD Loss: 0.0216|| 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, 13:57:54 || Estimated Time: 6:08:21
2023-07-13 05:48:06,865 semantic_segmentation INFO: Iters: 43050/50000 || Lr: 0.003387 || Task Loss: 0.0842 || KD Loss: 0.0257|| 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, 13:58:27 || Estimated Time: 6:07:49
2023-07-13 05:48:39,546 semantic_segmentation INFO: Iters: 43060/50000 || Lr: 0.003382 || Task Loss: 0.1051 || KD Loss: 0.0236|| 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, 13:58:59 || Estimated Time: 6:07:18
2023-07-13 05:49:12,062 semantic_segmentation INFO: Iters: 43070/50000 || Lr: 0.003378 || Task Loss: 0.1166 || KD Loss: 0.0228|| 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, 13:59:32 || Estimated Time: 6:06:46
2023-07-13 05:49:44,733 semantic_segmentation INFO: Iters: 43080/50000 || Lr: 0.003374 || Task Loss: 0.0897 || KD Loss: 0.0233|| 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, 14:00:04 || Estimated Time: 6:06:14
2023-07-13 05:50:17,351 semantic_segmentation INFO: Iters: 43090/50000 || Lr: 0.003369 || Task Loss: 0.0834 || KD Loss: 0.0214|| 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, 14:00:37 || Estimated Time: 6:05:43
2023-07-13 05:50:50,130 semantic_segmentation INFO: Iters: 43100/50000 || Lr: 0.003365 || Task Loss: 0.1041 || KD Loss: 0.0250|| 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, 14:01:10 || Estimated Time: 6:05:11
2023-07-13 05:51:22,870 semantic_segmentation INFO: Iters: 43110/50000 || Lr: 0.003361 || Task Loss: 0.0849 || KD Loss: 0.0215|| 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, 14:01:43 || Estimated Time: 6:04:40
2023-07-13 05:51:55,646 semantic_segmentation INFO: Iters: 43120/50000 || Lr: 0.003356 || Task Loss: 0.0919 || KD Loss: 0.0197|| 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, 14:02:15 || Estimated Time: 6:04:08
2023-07-13 05:52:28,416 semantic_segmentation INFO: Iters: 43130/50000 || Lr: 0.003352 || Task Loss: 0.0853 || KD Loss: 0.0197|| 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, 14:02:48 || Estimated Time: 6:03:36
2023-07-13 05:53:01,137 semantic_segmentation INFO: Iters: 43140/50000 || Lr: 0.003347 || Task Loss: 0.0845 || KD Loss: 0.0242|| 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, 14:03:21 || Estimated Time: 6:03:05
2023-07-13 05:53:33,685 semantic_segmentation INFO: Iters: 43150/50000 || Lr: 0.003343 || Task Loss: 0.0853 || KD Loss: 0.0226|| 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, 14:03:53 || Estimated Time: 6:02:33
2023-07-13 05:54:06,182 semantic_segmentation INFO: Iters: 43160/50000 || Lr: 0.003339 || Task Loss: 0.0993 || KD Loss: 0.0231|| 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, 14:04:26 || Estimated Time: 6:02:02
2023-07-13 05:54:38,620 semantic_segmentation INFO: Iters: 43170/50000 || Lr: 0.003334 || Task Loss: 0.0907 || KD Loss: 0.0218|| 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, 14:04:58 || Estimated Time: 6:01:30
2023-07-13 05:55:11,178 semantic_segmentation INFO: Iters: 43180/50000 || Lr: 0.003330 || Task Loss: 0.0822 || KD Loss: 0.0238|| 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, 14:05:31 || Estimated Time: 6:00:58
2023-07-13 05:55:43,802 semantic_segmentation INFO: Iters: 43190/50000 || Lr: 0.003325 || Task Loss: 0.0806 || KD Loss: 0.0232|| 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, 14:06:04 || Estimated Time: 6:00:27
2023-07-13 05:56:16,430 semantic_segmentation INFO: Iters: 43200/50000 || Lr: 0.003321 || Task Loss: 0.0851 || KD Loss: 0.0219|| 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, 14:06:36 || Estimated Time: 5:59:55
2023-07-13 05:56:16,502 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 05:56:16,695 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.741
2023-07-13 05:56:16,709 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-13 05:56:16,721 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.744
2023-07-13 05:56:16,734 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.741
2023-07-13 05:56:16,746 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-13 05:56:16,758 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 05:56:16,771 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.736
2023-07-13 05:56:16,783 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 05:56:16,795 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-13 05:56:16,808 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 05:56:16,820 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-13 05:56:16,832 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-13 05:56:16,845 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-13 05:56:16,857 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 05:56:16,869 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-13 05:56:16,881 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 05:56:16,894 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 05:56:16,909 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-13 05:56:16,925 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 05:56:16,944 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 05:56:16,960 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 05:56:16,977 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 05:56:16,989 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 05:56:17,007 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 05:56:17,019 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 05:56:17,032 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 05:56:17,045 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 05:56:17,058 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 05:56:17,072 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 05:56:17,085 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 05:56:17,098 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 05:56:17,111 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 05:56:17,123 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 05:56:17,136 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 05:56:17,151 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 05:56:17,165 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 05:56:17,185 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 05:56:17,204 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 05:56:17,217 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 05:56:17,230 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 05:56:17,243 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 05:56:17,256 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 05:56:17,269 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 05:56:17,283 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 05:56:17,296 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-13 05:56:17,309 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 05:56:17,328 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 05:56:17,342 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-13 05:56:17,360 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 05:56:17,377 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-13 05:56:17,391 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-13 05:56:17,411 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 05:56:17,424 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-13 05:56:17,437 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 05:56:17,451 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 05:56:17,464 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 05:56:17,477 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 05:56:17,491 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 05:56:17,504 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-13 05:56:17,517 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 05:56:17,531 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 05:56:17,549 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 05:56:17,566 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 05:56:17,580 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 05:56:17,596 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-13 05:56:17,610 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-13 05:56:17,629 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-13 05:56:17,642 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-13 05:56:17,655 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 05:56:17,667 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 05:56:17,680 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 05:56:17,693 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 05:56:17,706 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 05:56:17,718 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 05:56:17,731 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 05:56:17,749 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 05:56:17,762 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 05:56:17,781 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 05:56:17,795 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 05:56:17,812 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 05:56:17,831 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 05:56:17,845 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 05:56:17,858 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 05:56:17,871 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 05:56:17,884 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 05:56:17,897 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 05:56:17,911 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 05:56:17,924 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 05:56:17,937 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 05:56:17,951 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 05:56:17,970 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 05:56:17,989 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 05:56:18,006 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 05:56:18,019 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 05:56:18,038 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 05:56:18,051 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 05:56:18,064 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 05:56:18,082 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 05:56:18,096 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 05:56:18,109 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 05:56:18,122 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 05:56:50,762 semantic_segmentation INFO: Iters: 43210/50000 || Lr: 0.003317 || Task Loss: 0.0835 || KD Loss: 0.0228|| 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, 14:07:11 || Estimated Time: 5:59:24
2023-07-13 05:57:23,502 semantic_segmentation INFO: Iters: 43220/50000 || Lr: 0.003312 || Task Loss: 0.0961 || KD Loss: 0.0238|| 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, 14:07:43 || Estimated Time: 5:58:52
2023-07-13 05:57:56,279 semantic_segmentation INFO: Iters: 43230/50000 || Lr: 0.003308 || Task Loss: 0.0930 || KD Loss: 0.0207|| 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, 14:08:16 || Estimated Time: 5:58:21
2023-07-13 05:58:29,068 semantic_segmentation INFO: Iters: 43240/50000 || Lr: 0.003303 || Task Loss: 0.0933 || KD Loss: 0.0211|| 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, 14:08:49 || Estimated Time: 5:57:49
2023-07-13 05:59:01,776 semantic_segmentation INFO: Iters: 43250/50000 || Lr: 0.003299 || Task Loss: 0.1002 || KD Loss: 0.0235|| 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: 1 day, 14:09:22 || Estimated Time: 5:57:17
2023-07-13 05:59:34,394 semantic_segmentation INFO: Iters: 43260/50000 || Lr: 0.003295 || Task Loss: 0.0962 || KD Loss: 0.0226|| 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, 14:09:54 || Estimated Time: 5:56:46
2023-07-13 06:00:06,965 semantic_segmentation INFO: Iters: 43270/50000 || Lr: 0.003290 || Task Loss: 0.0821 || KD Loss: 0.0240|| 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, 14:10:27 || Estimated Time: 5:56:14
2023-07-13 06:00:39,524 semantic_segmentation INFO: Iters: 43280/50000 || Lr: 0.003286 || Task Loss: 0.1020 || KD Loss: 0.0203|| 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, 14:10:59 || Estimated Time: 5:55:42
2023-07-13 06:01:12,028 semantic_segmentation INFO: Iters: 43290/50000 || Lr: 0.003281 || Task Loss: 0.0863 || KD Loss: 0.0226|| 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, 14:11:32 || Estimated Time: 5:55:11
2023-07-13 06:01:44,661 semantic_segmentation INFO: Iters: 43300/50000 || Lr: 0.003277 || Task Loss: 0.0883 || KD Loss: 0.0211|| 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, 14:12:04 || Estimated Time: 5:54:39
2023-07-13 06:02:17,295 semantic_segmentation INFO: Iters: 43310/50000 || Lr: 0.003273 || Task Loss: 0.1035 || KD Loss: 0.0246|| 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, 14:12:37 || Estimated Time: 5:54:08
2023-07-13 06:02:49,965 semantic_segmentation INFO: Iters: 43320/50000 || Lr: 0.003268 || Task Loss: 0.0836 || KD Loss: 0.0228|| 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, 14:13:10 || Estimated Time: 5:53:36
2023-07-13 06:03:22,635 semantic_segmentation INFO: Iters: 43330/50000 || Lr: 0.003264 || Task Loss: 0.0886 || KD Loss: 0.0215|| 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, 14:13:42 || Estimated Time: 5:53:04
2023-07-13 06:03:55,303 semantic_segmentation INFO: Iters: 43340/50000 || Lr: 0.003259 || Task Loss: 0.0986 || KD Loss: 0.0236|| 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, 14:14:15 || Estimated Time: 5:52:33
2023-07-13 06:04:28,078 semantic_segmentation INFO: Iters: 43350/50000 || Lr: 0.003255 || Task Loss: 0.0915 || KD Loss: 0.0237|| 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, 14:14:48 || Estimated Time: 5:52:01
2023-07-13 06:05:00,869 semantic_segmentation INFO: Iters: 43360/50000 || Lr: 0.003251 || Task Loss: 0.0993 || KD Loss: 0.0251|| 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, 14:15:21 || Estimated Time: 5:51:29
2023-07-13 06:05:33,613 semantic_segmentation INFO: Iters: 43370/50000 || Lr: 0.003246 || Task Loss: 0.0880 || KD Loss: 0.0241|| 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, 14:15:53 || Estimated Time: 5:50:58
2023-07-13 06:06:06,400 semantic_segmentation INFO: Iters: 43380/50000 || Lr: 0.003242 || Task Loss: 0.0890 || KD Loss: 0.0217|| 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, 14:16:26 || Estimated Time: 5:50:26
2023-07-13 06:06:39,109 semantic_segmentation INFO: Iters: 43390/50000 || Lr: 0.003237 || Task Loss: 0.0905 || KD Loss: 0.0204|| 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, 14:16:59 || Estimated Time: 5:49:55
2023-07-13 06:07:11,694 semantic_segmentation INFO: Iters: 43400/50000 || Lr: 0.003233 || Task Loss: 0.0962 || KD Loss: 0.0226|| 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, 14:17:31 || Estimated Time: 5:49:23
2023-07-13 06:07:44,266 semantic_segmentation INFO: Iters: 43410/50000 || Lr: 0.003229 || Task Loss: 0.0971 || KD Loss: 0.0263|| 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, 14:18:04 || Estimated Time: 5:48:51
2023-07-13 06:08:16,719 semantic_segmentation INFO: Iters: 43420/50000 || Lr: 0.003224 || Task Loss: 0.1005 || 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, 14:18:36 || Estimated Time: 5:48:20
2023-07-13 06:08:49,001 semantic_segmentation INFO: Iters: 43430/50000 || Lr: 0.003220 || Task Loss: 0.0800 || KD Loss: 0.0222|| 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, 14:19:09 || Estimated Time: 5:47:48
2023-07-13 06:09:21,421 semantic_segmentation INFO: Iters: 43440/50000 || Lr: 0.003215 || Task Loss: 0.0952 || KD Loss: 0.0222|| 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, 14:19:41 || Estimated Time: 5:47:16
2023-07-13 06:09:53,883 semantic_segmentation INFO: Iters: 43450/50000 || Lr: 0.003211 || Task Loss: 0.0869 || KD Loss: 0.0205|| 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, 14:20:14 || Estimated Time: 5:46:45
2023-07-13 06:10:26,424 semantic_segmentation INFO: Iters: 43460/50000 || Lr: 0.003207 || Task Loss: 0.0803 || KD Loss: 0.0218|| 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, 14:20:46 || Estimated Time: 5:46:13
2023-07-13 06:10:59,006 semantic_segmentation INFO: Iters: 43470/50000 || Lr: 0.003202 || Task Loss: 0.0774 || KD Loss: 0.0220|| 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, 14:21:19 || Estimated Time: 5:45:41
2023-07-13 06:11:31,611 semantic_segmentation INFO: Iters: 43480/50000 || Lr: 0.003198 || Task Loss: 0.0863 || KD Loss: 0.0219|| 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, 14:21:51 || Estimated Time: 5:45:10
2023-07-13 06:12:04,294 semantic_segmentation INFO: Iters: 43490/50000 || Lr: 0.003193 || Task Loss: 0.1122 || KD Loss: 0.0236|| 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, 14:22:24 || Estimated Time: 5:44:38
2023-07-13 06:12:36,917 semantic_segmentation INFO: Iters: 43500/50000 || Lr: 0.003189 || Task Loss: 0.0937 || KD Loss: 0.0300|| 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, 14:22:57 || Estimated Time: 5:44:07
2023-07-13 06:13:09,640 semantic_segmentation INFO: Iters: 43510/50000 || Lr: 0.003184 || Task Loss: 0.0998 || KD Loss: 0.0241|| 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, 14:23:29 || Estimated Time: 5:43:35
2023-07-13 06:13:42,173 semantic_segmentation INFO: Iters: 43520/50000 || Lr: 0.003180 || Task Loss: 0.0895 || KD Loss: 0.0194|| 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, 14:24:02 || Estimated Time: 5:43:03
2023-07-13 06:14:14,601 semantic_segmentation INFO: Iters: 43530/50000 || Lr: 0.003176 || Task Loss: 0.0875 || KD Loss: 0.0227|| 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, 14:24:34 || Estimated Time: 5:42:32
2023-07-13 06:14:47,034 semantic_segmentation INFO: Iters: 43540/50000 || Lr: 0.003171 || Task Loss: 0.0890 || KD Loss: 0.0219|| 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, 14:25:07 || Estimated Time: 5:42:00
2023-07-13 06:15:19,433 semantic_segmentation INFO: Iters: 43550/50000 || Lr: 0.003167 || Task Loss: 0.0875 || KD Loss: 0.0217|| 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, 14:25:39 || Estimated Time: 5:41:28
2023-07-13 06:15:51,767 semantic_segmentation INFO: Iters: 43560/50000 || Lr: 0.003162 || Task Loss: 0.0860 || KD Loss: 0.0216|| 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, 14:26:12 || Estimated Time: 5:40:57
2023-07-13 06:16:24,266 semantic_segmentation INFO: Iters: 43570/50000 || Lr: 0.003158 || Task Loss: 0.1073 || KD Loss: 0.0238|| 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, 14:26:44 || Estimated Time: 5:40:25
2023-07-13 06:16:56,943 semantic_segmentation INFO: Iters: 43580/50000 || Lr: 0.003154 || Task Loss: 0.0873 || KD Loss: 0.0211|| 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, 14:27:17 || Estimated Time: 5:39:53
2023-07-13 06:17:29,532 semantic_segmentation INFO: Iters: 43590/50000 || Lr: 0.003149 || Task Loss: 0.0782 || KD Loss: 0.0204|| 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, 14:27:49 || Estimated Time: 5:39:22
2023-07-13 06:18:02,098 semantic_segmentation INFO: Iters: 43600/50000 || Lr: 0.003145 || Task Loss: 0.0964 || KD Loss: 0.0210|| 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, 14:28:22 || Estimated Time: 5:38:50
2023-07-13 06:18:34,668 semantic_segmentation INFO: Iters: 43610/50000 || Lr: 0.003140 || Task Loss: 0.0812 || KD Loss: 0.0233|| 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, 14:28:54 || Estimated Time: 5:38:18
2023-07-13 06:19:07,306 semantic_segmentation INFO: Iters: 43620/50000 || Lr: 0.003136 || Task Loss: 0.0917 || KD Loss: 0.0245|| 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, 14:29:27 || Estimated Time: 5:37:47
2023-07-13 06:19:40,015 semantic_segmentation INFO: Iters: 43630/50000 || Lr: 0.003131 || Task Loss: 0.0842 || KD Loss: 0.0235|| 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, 14:30:00 || Estimated Time: 5:37:15
2023-07-13 06:20:12,627 semantic_segmentation INFO: Iters: 43640/50000 || Lr: 0.003127 || Task Loss: 0.1020 || KD Loss: 0.0221|| 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: 1 day, 14:30:32 || Estimated Time: 5:36:43
2023-07-13 06:20:45,141 semantic_segmentation INFO: Iters: 43650/50000 || Lr: 0.003123 || Task Loss: 0.0987 || KD Loss: 0.0218|| 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, 14:31:05 || Estimated Time: 5:36:12
2023-07-13 06:21:17,607 semantic_segmentation INFO: Iters: 43660/50000 || Lr: 0.003118 || Task Loss: 0.0920 || KD Loss: 0.0233|| 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, 14:31:37 || Estimated Time: 5:35:40
2023-07-13 06:21:49,942 semantic_segmentation INFO: Iters: 43670/50000 || Lr: 0.003114 || Task Loss: 0.0922 || KD Loss: 0.0239|| 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, 14:32:10 || Estimated Time: 5:35:08
2023-07-13 06:22:22,361 semantic_segmentation INFO: Iters: 43680/50000 || Lr: 0.003109 || Task Loss: 0.0946 || KD Loss: 0.0208|| 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, 14:32:42 || Estimated Time: 5:34:37
2023-07-13 06:22:54,813 semantic_segmentation INFO: Iters: 43690/50000 || Lr: 0.003105 || Task Loss: 0.1003 || KD Loss: 0.0230|| 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, 14:33:15 || Estimated Time: 5:34:05
2023-07-13 06:23:27,306 semantic_segmentation INFO: Iters: 43700/50000 || Lr: 0.003100 || Task Loss: 0.0941 || KD Loss: 0.0256|| 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, 14:33:47 || Estimated Time: 5:33:33
2023-07-13 06:23:59,883 semantic_segmentation INFO: Iters: 43710/50000 || Lr: 0.003096 || Task Loss: 0.0861 || KD Loss: 0.0217|| 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, 14:34:20 || Estimated Time: 5:33:02
2023-07-13 06:24:32,467 semantic_segmentation INFO: Iters: 43720/50000 || Lr: 0.003092 || Task Loss: 0.0863 || KD Loss: 0.0204|| 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, 14:34:52 || Estimated Time: 5:32:30
2023-07-13 06:25:05,046 semantic_segmentation INFO: Iters: 43730/50000 || Lr: 0.003087 || Task Loss: 0.0968 || KD Loss: 0.0213|| 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, 14:35:25 || Estimated Time: 5:31:58
2023-07-13 06:25:37,647 semantic_segmentation INFO: Iters: 43740/50000 || Lr: 0.003083 || Task Loss: 0.0931 || KD Loss: 0.0279|| 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, 14:35:57 || Estimated Time: 5:31:27
2023-07-13 06:26:10,398 semantic_segmentation INFO: Iters: 43750/50000 || Lr: 0.003078 || Task Loss: 0.0890 || KD Loss: 0.0226|| 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, 14:36:30 || Estimated Time: 5:30:55
2023-07-13 06:26:43,144 semantic_segmentation INFO: Iters: 43760/50000 || Lr: 0.003074 || Task Loss: 0.0998 || KD Loss: 0.0255|| 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, 14:37:03 || Estimated Time: 5:30:24
2023-07-13 06:27:15,704 semantic_segmentation INFO: Iters: 43770/50000 || Lr: 0.003069 || Task Loss: 0.0839 || KD Loss: 0.0243|| 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, 14:37:35 || Estimated Time: 5:29:52
2023-07-13 06:27:48,309 semantic_segmentation INFO: Iters: 43780/50000 || Lr: 0.003065 || Task Loss: 0.0903 || KD Loss: 0.0268|| 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, 14:38:08 || Estimated Time: 5:29:20
2023-07-13 06:28:20,833 semantic_segmentation INFO: Iters: 43790/50000 || Lr: 0.003061 || Task Loss: 0.0860 || KD Loss: 0.0260|| 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, 14:38:41 || Estimated Time: 5:28:49
2023-07-13 06:28:53,228 semantic_segmentation INFO: Iters: 43800/50000 || Lr: 0.003056 || Task Loss: 0.0957 || KD Loss: 0.0247|| 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, 14:39:13 || Estimated Time: 5:28:17
2023-07-13 06:29:25,721 semantic_segmentation INFO: Iters: 43810/50000 || Lr: 0.003052 || Task Loss: 0.0946 || KD Loss: 0.0248|| 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, 14:39:45 || Estimated Time: 5:27:45
2023-07-13 06:29:58,107 semantic_segmentation INFO: Iters: 43820/50000 || Lr: 0.003047 || Task Loss: 0.0835 || KD Loss: 0.0216|| 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, 14:40:18 || Estimated Time: 5:27:14
2023-07-13 06:30:30,487 semantic_segmentation INFO: Iters: 43830/50000 || Lr: 0.003043 || Task Loss: 0.0995 || KD Loss: 0.0218|| 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, 14:40:50 || Estimated Time: 5:26:42
2023-07-13 06:31:03,064 semantic_segmentation INFO: Iters: 43840/50000 || Lr: 0.003038 || Task Loss: 0.0837 || KD Loss: 0.0192|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0781|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:41:23 || Estimated Time: 5:26:10
2023-07-13 06:31:35,591 semantic_segmentation INFO: Iters: 43850/50000 || Lr: 0.003034 || Task Loss: 0.1037 || KD Loss: 0.0263|| 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, 14:41:55 || Estimated Time: 5:25:39
2023-07-13 06:32:08,183 semantic_segmentation INFO: Iters: 43860/50000 || Lr: 0.003030 || Task Loss: 0.0887 || KD Loss: 0.0247|| 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, 14:42:28 || Estimated Time: 5:25:07
2023-07-13 06:32:40,827 semantic_segmentation INFO: Iters: 43870/50000 || Lr: 0.003025 || Task Loss: 0.1225 || KD Loss: 0.0242|| 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, 14:43:01 || Estimated Time: 5:24:35
2023-07-13 06:33:13,484 semantic_segmentation INFO: Iters: 43880/50000 || Lr: 0.003021 || Task Loss: 0.0921 || 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, 14:43:33 || Estimated Time: 5:24:04
2023-07-13 06:33:46,202 semantic_segmentation INFO: Iters: 43890/50000 || Lr: 0.003016 || Task Loss: 0.1054 || KD Loss: 0.0240|| 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, 14:44:06 || Estimated Time: 5:23:32
2023-07-13 06:34:18,801 semantic_segmentation INFO: Iters: 43900/50000 || Lr: 0.003012 || Task Loss: 0.1038 || KD Loss: 0.0280|| 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, 14:44:39 || Estimated Time: 5:23:00
2023-07-13 06:34:51,377 semantic_segmentation INFO: Iters: 43910/50000 || Lr: 0.003007 || Task Loss: 0.0870 || KD Loss: 0.0254|| 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, 14:45:11 || Estimated Time: 5:22:29
2023-07-13 06:35:23,911 semantic_segmentation INFO: Iters: 43920/50000 || Lr: 0.003003 || Task Loss: 0.0833 || KD Loss: 0.0232|| 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, 14:45:44 || Estimated Time: 5:21:57
2023-07-13 06:35:56,418 semantic_segmentation INFO: Iters: 43930/50000 || Lr: 0.002998 || Task Loss: 0.0903 || KD Loss: 0.0219|| 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, 14:46:16 || Estimated Time: 5:21:25
2023-07-13 06:36:28,788 semantic_segmentation INFO: Iters: 43940/50000 || Lr: 0.002994 || Task Loss: 0.1027 || KD Loss: 0.0259|| 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, 14:46:49 || Estimated Time: 5:20:54
2023-07-13 06:37:01,152 semantic_segmentation INFO: Iters: 43950/50000 || Lr: 0.002990 || Task Loss: 0.0953 || KD Loss: 0.0251|| 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, 14:47:21 || Estimated Time: 5:20:22
2023-07-13 06:37:33,564 semantic_segmentation INFO: Iters: 43960/50000 || Lr: 0.002985 || Task Loss: 0.0965 || KD Loss: 0.0204|| 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, 14:47:53 || Estimated Time: 5:19:50
2023-07-13 06:38:06,119 semantic_segmentation INFO: Iters: 43970/50000 || Lr: 0.002981 || Task Loss: 0.0789 || KD Loss: 0.0211|| 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, 14:48:26 || Estimated Time: 5:19:19
2023-07-13 06:38:38,686 semantic_segmentation INFO: Iters: 43980/50000 || Lr: 0.002976 || Task Loss: 0.1044 || KD Loss: 0.0222|| 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, 14:48:58 || Estimated Time: 5:18:47
2023-07-13 06:39:11,247 semantic_segmentation INFO: Iters: 43990/50000 || Lr: 0.002972 || Task Loss: 0.0983 || 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, 14:49:31 || Estimated Time: 5:18:15
2023-07-13 06:39:44,000 semantic_segmentation INFO: Iters: 44000/50000 || Lr: 0.002967 || Task Loss: 0.0717 || KD Loss: 0.0223|| 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, 14:50:04 || Estimated Time: 5:17:44
2023-07-13 06:39:44,079 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 06:39:44,270 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-13 06:39:44,299 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.743
2023-07-13 06:39:44,311 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.746
2023-07-13 06:39:44,324 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.744
2023-07-13 06:39:44,336 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 06:39:44,349 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 06:39:44,361 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 06:39:44,373 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 06:39:44,386 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 06:39:44,398 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 06:39:44,410 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.739
2023-07-13 06:39:44,423 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-13 06:39:44,437 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 06:39:44,450 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-13 06:39:44,463 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-13 06:39:44,475 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-13 06:39:44,493 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.749
2023-07-13 06:39:44,509 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.750
2023-07-13 06:39:44,525 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.749
2023-07-13 06:39:44,538 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.748
2023-07-13 06:39:44,556 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.749
2023-07-13 06:39:44,569 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 06:39:44,586 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 06:39:44,599 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 06:39:44,611 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 06:39:44,624 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.746
2023-07-13 06:39:44,637 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.746
2023-07-13 06:39:44,650 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.746
2023-07-13 06:39:44,663 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.747
2023-07-13 06:39:44,676 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.747
2023-07-13 06:39:44,689 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.747
2023-07-13 06:39:44,702 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.748
2023-07-13 06:39:44,721 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.748
2023-07-13 06:39:44,739 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.747
2023-07-13 06:39:44,752 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.747
2023-07-13 06:39:44,768 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.746
2023-07-13 06:39:44,780 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 06:39:44,793 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 06:39:44,806 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 06:39:44,819 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 06:39:44,833 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 06:39:44,851 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 06:39:44,865 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 06:39:44,879 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 06:39:44,892 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 06:39:44,906 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-13 06:39:44,923 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 06:39:44,936 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.751
2023-07-13 06:39:44,956 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.752
2023-07-13 06:39:44,975 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-13 06:39:44,991 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.753
2023-07-13 06:39:45,005 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.754
2023-07-13 06:39:45,018 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 06:39:45,031 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-13 06:39:45,044 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-13 06:39:45,057 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.756
2023-07-13 06:39:45,071 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 06:39:45,084 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 06:39:45,097 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 06:39:45,112 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.759
2023-07-13 06:39:45,125 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 06:39:45,144 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 06:39:45,161 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.761
2023-07-13 06:39:45,175 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.761
2023-07-13 06:39:45,190 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.762
2023-07-13 06:39:45,204 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.762
2023-07-13 06:39:45,218 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-13 06:39:45,231 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.765
2023-07-13 06:39:45,244 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.765
2023-07-13 06:39:45,258 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 06:39:45,273 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-13 06:39:45,287 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-13 06:39:45,301 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-13 06:39:45,314 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.768
2023-07-13 06:39:45,327 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 06:39:45,342 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.768
2023-07-13 06:39:45,356 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.768
2023-07-13 06:39:45,376 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 06:39:45,394 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 06:39:45,407 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 06:39:45,421 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 06:39:45,437 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 06:39:45,451 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 06:39:45,464 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 06:39:45,477 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 06:39:45,490 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 06:39:45,503 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 06:39:45,521 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 06:39:45,534 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.765
2023-07-13 06:39:45,552 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 06:39:45,568 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 06:39:45,581 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 06:39:45,600 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 06:39:45,615 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 06:39:45,628 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 06:39:45,641 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 06:39:45,654 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 06:39:45,667 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 06:39:45,680 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 06:39:45,694 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 06:39:45,707 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 06:40:18,597 semantic_segmentation INFO: Iters: 44010/50000 || Lr: 0.002963 || Task Loss: 0.0931 || KD Loss: 0.0225|| 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, 14:50:38 || Estimated Time: 5:17:12
2023-07-13 06:40:51,320 semantic_segmentation INFO: Iters: 44020/50000 || Lr: 0.002958 || Task Loss: 0.0756 || KD Loss: 0.0201|| 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, 14:51:11 || Estimated Time: 5:16:41
2023-07-13 06:41:23,967 semantic_segmentation INFO: Iters: 44030/50000 || Lr: 0.002954 || Task Loss: 0.0853 || KD Loss: 0.0191|| 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, 14:51:44 || Estimated Time: 5:16:09
2023-07-13 06:41:56,720 semantic_segmentation INFO: Iters: 44040/50000 || Lr: 0.002949 || Task Loss: 0.0961 || KD Loss: 0.0253|| 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, 14:52:16 || Estimated Time: 5:15:37
2023-07-13 06:42:29,272 semantic_segmentation INFO: Iters: 44050/50000 || Lr: 0.002945 || Task Loss: 0.0906 || KD Loss: 0.0233|| 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, 14:52:49 || Estimated Time: 5:15:06
2023-07-13 06:43:01,782 semantic_segmentation INFO: Iters: 44060/50000 || Lr: 0.002941 || Task Loss: 0.0847 || KD Loss: 0.0235|| 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, 14:53:22 || Estimated Time: 5:14:34
2023-07-13 06:43:34,193 semantic_segmentation INFO: Iters: 44070/50000 || Lr: 0.002936 || Task Loss: 0.0939 || KD Loss: 0.0232|| 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, 14:53:54 || Estimated Time: 5:14:02
2023-07-13 06:44:06,653 semantic_segmentation INFO: Iters: 44080/50000 || Lr: 0.002932 || Task Loss: 0.0927 || KD Loss: 0.0204|| 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, 14:54:26 || Estimated Time: 5:13:31
2023-07-13 06:44:39,042 semantic_segmentation INFO: Iters: 44090/50000 || Lr: 0.002927 || Task Loss: 0.1122 || KD Loss: 0.0235|| 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, 14:54:59 || Estimated Time: 5:12:59
2023-07-13 06:45:11,451 semantic_segmentation INFO: Iters: 44100/50000 || Lr: 0.002923 || Task Loss: 0.0791 || KD Loss: 0.0252|| 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, 14:55:31 || Estimated Time: 5:12:27
2023-07-13 06:45:44,010 semantic_segmentation INFO: Iters: 44110/50000 || Lr: 0.002918 || Task Loss: 0.0751 || 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, 14:56:04 || Estimated Time: 5:11:55
2023-07-13 06:46:16,588 semantic_segmentation INFO: Iters: 44120/50000 || Lr: 0.002914 || Task Loss: 0.0920 || KD Loss: 0.0239|| 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, 14:56:36 || Estimated Time: 5:11:24
2023-07-13 06:46:49,155 semantic_segmentation INFO: Iters: 44130/50000 || Lr: 0.002909 || Task Loss: 0.1009 || KD Loss: 0.0235|| 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, 14:57:09 || Estimated Time: 5:10:52
2023-07-13 06:47:21,725 semantic_segmentation INFO: Iters: 44140/50000 || Lr: 0.002905 || Task Loss: 0.1202 || KD Loss: 0.0222|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0773|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 14:57:41 || Estimated Time: 5:10:20
2023-07-13 06:47:54,416 semantic_segmentation INFO: Iters: 44150/50000 || Lr: 0.002900 || Task Loss: 0.0857 || KD Loss: 0.0217|| 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, 14:58:14 || Estimated Time: 5:09:49
2023-07-13 06:48:27,023 semantic_segmentation INFO: Iters: 44160/50000 || Lr: 0.002896 || Task Loss: 0.0997 || KD Loss: 0.0247|| 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, 14:58:47 || Estimated Time: 5:09:17
2023-07-13 06:48:59,712 semantic_segmentation INFO: Iters: 44170/50000 || Lr: 0.002892 || Task Loss: 0.0816 || KD Loss: 0.0224|| 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, 14:59:19 || Estimated Time: 5:08:45
2023-07-13 06:49:32,275 semantic_segmentation INFO: Iters: 44180/50000 || Lr: 0.002887 || Task Loss: 0.0862 || KD Loss: 0.0219|| 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, 14:59:52 || Estimated Time: 5:08:14
2023-07-13 06:50:04,718 semantic_segmentation INFO: Iters: 44190/50000 || Lr: 0.002883 || Task Loss: 0.0933 || KD Loss: 0.0227|| 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, 15:00:24 || Estimated Time: 5:07:42
2023-07-13 06:50:37,246 semantic_segmentation INFO: Iters: 44200/50000 || Lr: 0.002878 || Task Loss: 0.0785 || KD Loss: 0.0200|| 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, 15:00:57 || Estimated Time: 5:07:10
2023-07-13 06:51:09,672 semantic_segmentation INFO: Iters: 44210/50000 || Lr: 0.002874 || Task Loss: 0.0962 || KD Loss: 0.0228|| 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, 15:01:29 || Estimated Time: 5:06:39
2023-07-13 06:51:42,167 semantic_segmentation INFO: Iters: 44220/50000 || Lr: 0.002869 || Task Loss: 0.1090 || KD Loss: 0.0232|| 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, 15:02:02 || Estimated Time: 5:06:07
2023-07-13 06:52:14,543 semantic_segmentation INFO: Iters: 44230/50000 || Lr: 0.002865 || Task Loss: 0.1050 || KD Loss: 0.0250|| 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, 15:02:34 || Estimated Time: 5:05:35
2023-07-13 06:52:47,117 semantic_segmentation INFO: Iters: 44240/50000 || Lr: 0.002860 || Task Loss: 0.0925 || KD Loss: 0.0195|| 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, 15:03:07 || Estimated Time: 5:05:04
2023-07-13 06:53:19,646 semantic_segmentation INFO: Iters: 44250/50000 || Lr: 0.002856 || Task Loss: 0.0957 || KD Loss: 0.0215|| 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, 15:03:39 || Estimated Time: 5:04:32
2023-07-13 06:53:52,217 semantic_segmentation INFO: Iters: 44260/50000 || Lr: 0.002851 || Task Loss: 0.0856 || KD Loss: 0.0228|| 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, 15:04:12 || Estimated Time: 5:04:00
2023-07-13 06:54:24,817 semantic_segmentation INFO: Iters: 44270/50000 || Lr: 0.002847 || Task Loss: 0.0923 || KD Loss: 0.0212|| 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, 15:04:45 || Estimated Time: 5:03:29
2023-07-13 06:54:57,463 semantic_segmentation INFO: Iters: 44280/50000 || Lr: 0.002842 || Task Loss: 0.0816 || KD Loss: 0.0252|| 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, 15:05:17 || Estimated Time: 5:02:57
2023-07-13 06:55:30,091 semantic_segmentation INFO: Iters: 44290/50000 || Lr: 0.002838 || Task Loss: 0.0778 || KD Loss: 0.0194|| 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, 15:05:50 || Estimated Time: 5:02:25
2023-07-13 06:56:02,708 semantic_segmentation INFO: Iters: 44300/50000 || Lr: 0.002833 || Task Loss: 0.0830 || KD Loss: 0.0229|| 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, 15:06:22 || Estimated Time: 5:01:54
2023-07-13 06:56:35,458 semantic_segmentation INFO: Iters: 44310/50000 || Lr: 0.002829 || Task Loss: 0.0852 || KD Loss: 0.0224|| 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, 15:06:55 || Estimated Time: 5:01:22
2023-07-13 06:57:08,208 semantic_segmentation INFO: Iters: 44320/50000 || Lr: 0.002824 || Task Loss: 0.0878 || KD Loss: 0.0215|| 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, 15:07:28 || Estimated Time: 5:00:50
2023-07-13 06:57:40,734 semantic_segmentation INFO: Iters: 44330/50000 || Lr: 0.002820 || Task Loss: 0.1061 || KD Loss: 0.0236|| 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, 15:08:00 || Estimated Time: 5:00:19
2023-07-13 06:58:13,120 semantic_segmentation INFO: Iters: 44340/50000 || Lr: 0.002816 || Task Loss: 0.0930 || KD Loss: 0.0264|| 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, 15:08:33 || Estimated Time: 4:59:47
2023-07-13 06:58:45,560 semantic_segmentation INFO: Iters: 44350/50000 || Lr: 0.002811 || Task Loss: 0.0892 || KD Loss: 0.0216|| 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, 15:09:05 || Estimated Time: 4:59:15
2023-07-13 06:59:18,009 semantic_segmentation INFO: Iters: 44360/50000 || Lr: 0.002807 || Task Loss: 0.0805 || KD Loss: 0.0224|| 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, 15:09:38 || Estimated Time: 4:58:44
2023-07-13 06:59:50,419 semantic_segmentation INFO: Iters: 44370/50000 || Lr: 0.002802 || Task Loss: 0.0911 || KD Loss: 0.0222|| 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, 15:10:10 || Estimated Time: 4:58:12
2023-07-13 07:00:23,001 semantic_segmentation INFO: Iters: 44380/50000 || Lr: 0.002798 || Task Loss: 0.0934 || KD Loss: 0.0247|| 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, 15:10:43 || Estimated Time: 4:57:40
2023-07-13 07:00:55,595 semantic_segmentation INFO: Iters: 44390/50000 || Lr: 0.002793 || Task Loss: 0.0928 || KD Loss: 0.0219|| 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, 15:11:15 || Estimated Time: 4:57:09
2023-07-13 07:01:28,316 semantic_segmentation INFO: Iters: 44400/50000 || Lr: 0.002789 || Task Loss: 0.0873 || KD Loss: 0.0216|| 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, 15:11:48 || Estimated Time: 4:56:37
2023-07-13 07:02:00,911 semantic_segmentation INFO: Iters: 44410/50000 || Lr: 0.002784 || Task Loss: 0.0812 || KD Loss: 0.0248|| 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, 15:12:21 || Estimated Time: 4:56:05
2023-07-13 07:02:33,657 semantic_segmentation INFO: Iters: 44420/50000 || Lr: 0.002780 || Task Loss: 0.0825 || KD Loss: 0.0232|| 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, 15:12:53 || Estimated Time: 4:55:33
2023-07-13 07:03:06,405 semantic_segmentation INFO: Iters: 44430/50000 || Lr: 0.002775 || Task Loss: 0.0887 || KD Loss: 0.0244|| 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, 15:13:26 || Estimated Time: 4:55:02
2023-07-13 07:03:39,063 semantic_segmentation INFO: Iters: 44440/50000 || Lr: 0.002771 || Task Loss: 0.0999 || KD Loss: 0.0258|| 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, 15:13:59 || Estimated Time: 4:54:30
2023-07-13 07:04:11,720 semantic_segmentation INFO: Iters: 44450/50000 || Lr: 0.002766 || Task Loss: 0.0989 || KD Loss: 0.0234|| 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, 15:14:31 || Estimated Time: 4:53:58
2023-07-13 07:04:44,343 semantic_segmentation INFO: Iters: 44460/50000 || Lr: 0.002762 || Task Loss: 0.0854 || KD Loss: 0.0217|| 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, 15:15:04 || Estimated Time: 4:53:27
2023-07-13 07:05:17,112 semantic_segmentation INFO: Iters: 44470/50000 || Lr: 0.002757 || Task Loss: 0.0814 || KD Loss: 0.0225|| 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, 15:15:37 || Estimated Time: 4:52:55
2023-07-13 07:05:49,580 semantic_segmentation INFO: Iters: 44480/50000 || Lr: 0.002753 || Task Loss: 0.0886 || KD Loss: 0.0235|| 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, 15:16:09 || Estimated Time: 4:52:23
2023-07-13 07:06:21,992 semantic_segmentation INFO: Iters: 44490/50000 || Lr: 0.002748 || Task Loss: 0.0993 || KD Loss: 0.0230|| 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, 15:16:42 || Estimated Time: 4:51:52
2023-07-13 07:06:54,397 semantic_segmentation INFO: Iters: 44500/50000 || Lr: 0.002744 || Task Loss: 0.1057 || KD Loss: 0.0226|| 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, 15:17:14 || Estimated Time: 4:51:20
2023-07-13 07:07:26,767 semantic_segmentation INFO: Iters: 44510/50000 || Lr: 0.002739 || Task Loss: 0.0811 || KD Loss: 0.0220|| 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, 15:17:47 || Estimated Time: 4:50:48
2023-07-13 07:07:59,256 semantic_segmentation INFO: Iters: 44520/50000 || Lr: 0.002735 || Task Loss: 0.0921 || KD Loss: 0.0251|| 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, 15:18:19 || Estimated Time: 4:50:17
2023-07-13 07:08:31,677 semantic_segmentation INFO: Iters: 44530/50000 || Lr: 0.002730 || Task Loss: 0.0910 || KD Loss: 0.0221|| 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, 15:18:51 || Estimated Time: 4:49:45
2023-07-13 07:09:04,251 semantic_segmentation INFO: Iters: 44540/50000 || Lr: 0.002726 || Task Loss: 0.0963 || KD Loss: 0.0242|| 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, 15:19:24 || Estimated Time: 4:49:13
2023-07-13 07:09:36,869 semantic_segmentation INFO: Iters: 44550/50000 || Lr: 0.002721 || Task Loss: 0.0830 || KD Loss: 0.0204|| 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, 15:19:57 || Estimated Time: 4:48:42
2023-07-13 07:10:09,533 semantic_segmentation INFO: Iters: 44560/50000 || Lr: 0.002717 || Task Loss: 0.0903 || KD Loss: 0.0238|| 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, 15:20:29 || Estimated Time: 4:48:10
2023-07-13 07:10:42,149 semantic_segmentation INFO: Iters: 44570/50000 || Lr: 0.002712 || Task Loss: 0.0973 || KD Loss: 0.0277|| 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, 15:21:02 || Estimated Time: 4:47:38
2023-07-13 07:11:14,705 semantic_segmentation INFO: Iters: 44580/50000 || Lr: 0.002708 || Task Loss: 0.0862 || KD Loss: 0.0203|| 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, 15:21:34 || Estimated Time: 4:47:07
2023-07-13 07:11:47,278 semantic_segmentation INFO: Iters: 44590/50000 || Lr: 0.002703 || Task Loss: 0.0790 || KD Loss: 0.0239|| 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, 15:22:07 || Estimated Time: 4:46:35
2023-07-13 07:12:19,962 semantic_segmentation INFO: Iters: 44600/50000 || Lr: 0.002699 || Task Loss: 0.0868 || KD Loss: 0.0215|| 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, 15:22:40 || Estimated Time: 4:46:03
2023-07-13 07:12:52,548 semantic_segmentation INFO: Iters: 44610/50000 || Lr: 0.002694 || Task Loss: 0.0948 || KD Loss: 0.0242|| 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, 15:23:12 || Estimated Time: 4:45:31
2023-07-13 07:13:24,953 semantic_segmentation INFO: Iters: 44620/50000 || Lr: 0.002690 || Task Loss: 0.0787 || KD Loss: 0.0212|| 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, 15:23:45 || Estimated Time: 4:45:00
2023-07-13 07:13:57,466 semantic_segmentation INFO: Iters: 44630/50000 || Lr: 0.002685 || Task Loss: 0.1065 || KD Loss: 0.0242|| 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, 15:24:17 || Estimated Time: 4:44:28
2023-07-13 07:14:29,881 semantic_segmentation INFO: Iters: 44640/50000 || Lr: 0.002681 || Task Loss: 0.0907 || KD Loss: 0.0228|| 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, 15:24:50 || Estimated Time: 4:43:56
2023-07-13 07:15:02,224 semantic_segmentation INFO: Iters: 44650/50000 || Lr: 0.002676 || Task Loss: 0.1088 || KD Loss: 0.0239|| 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, 15:25:22 || Estimated Time: 4:43:25
2023-07-13 07:15:34,694 semantic_segmentation INFO: Iters: 44660/50000 || Lr: 0.002672 || Task Loss: 0.1180 || KD Loss: 0.0203|| 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, 15:25:54 || Estimated Time: 4:42:53
2023-07-13 07:16:07,261 semantic_segmentation INFO: Iters: 44670/50000 || Lr: 0.002667 || Task Loss: 0.1160 || KD Loss: 0.0236|| 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, 15:26:27 || Estimated Time: 4:42:21
2023-07-13 07:16:39,879 semantic_segmentation INFO: Iters: 44680/50000 || Lr: 0.002663 || Task Loss: 0.0828 || KD Loss: 0.0221|| 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, 15:27:00 || Estimated Time: 4:41:50
2023-07-13 07:17:12,477 semantic_segmentation INFO: Iters: 44690/50000 || Lr: 0.002658 || Task Loss: 0.1076 || KD Loss: 0.0245|| 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, 15:27:32 || Estimated Time: 4:41:18
2023-07-13 07:17:45,026 semantic_segmentation INFO: Iters: 44700/50000 || Lr: 0.002654 || Task Loss: 0.0986 || KD Loss: 0.0223|| 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, 15:28:05 || Estimated Time: 4:40:46
2023-07-13 07:18:17,609 semantic_segmentation INFO: Iters: 44710/50000 || Lr: 0.002649 || Task Loss: 0.0920 || KD Loss: 0.0320|| 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, 15:28:37 || Estimated Time: 4:40:14
2023-07-13 07:18:50,295 semantic_segmentation INFO: Iters: 44720/50000 || Lr: 0.002645 || Task Loss: 0.0994 || KD Loss: 0.0245|| 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, 15:29:10 || Estimated Time: 4:39:43
2023-07-13 07:19:22,972 semantic_segmentation INFO: Iters: 44730/50000 || Lr: 0.002640 || Task Loss: 0.0978 || KD Loss: 0.0198|| 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, 15:29:43 || Estimated Time: 4:39:11
2023-07-13 07:19:55,660 semantic_segmentation INFO: Iters: 44740/50000 || Lr: 0.002636 || Task Loss: 0.0861 || KD Loss: 0.0232|| 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, 15:30:15 || Estimated Time: 4:38:39
2023-07-13 07:20:28,092 semantic_segmentation INFO: Iters: 44750/50000 || Lr: 0.002631 || Task Loss: 0.0749 || KD Loss: 0.0219|| 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, 15:30:48 || Estimated Time: 4:38:08
2023-07-13 07:21:00,606 semantic_segmentation INFO: Iters: 44760/50000 || Lr: 0.002627 || Task Loss: 0.0892 || KD Loss: 0.0220|| 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, 15:31:20 || Estimated Time: 4:37:36
2023-07-13 07:21:32,961 semantic_segmentation INFO: Iters: 44770/50000 || Lr: 0.002622 || Task Loss: 0.0801 || KD Loss: 0.0231|| 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, 15:31:53 || Estimated Time: 4:37:04
2023-07-13 07:22:05,272 semantic_segmentation INFO: Iters: 44780/50000 || Lr: 0.002618 || Task Loss: 0.0823 || KD Loss: 0.0221|| 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, 15:32:25 || Estimated Time: 4:36:33
2023-07-13 07:22:37,641 semantic_segmentation INFO: Iters: 44790/50000 || Lr: 0.002613 || Task Loss: 0.0732 || KD Loss: 0.0205|| 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, 15:32:57 || Estimated Time: 4:36:01
2023-07-13 07:23:10,264 semantic_segmentation INFO: Iters: 44800/50000 || Lr: 0.002609 || Task Loss: 0.0958 || KD Loss: 0.0223|| 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, 15:33:30 || Estimated Time: 4:35:29
2023-07-13 07:23:10,368 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 07:23:10,555 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-13 07:23:10,587 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.743
2023-07-13 07:23:10,599 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.746
2023-07-13 07:23:10,614 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-13 07:23:10,626 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 07:23:10,638 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 07:23:10,651 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 07:23:10,663 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 07:23:10,676 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 07:23:10,688 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 07:23:10,701 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.738
2023-07-13 07:23:10,713 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-13 07:23:10,726 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-13 07:23:10,739 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 07:23:10,751 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-13 07:23:10,767 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 07:23:10,779 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 07:23:10,798 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-13 07:23:10,815 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 07:23:10,828 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 07:23:10,844 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 07:23:10,857 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 07:23:10,869 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 07:23:10,882 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 07:23:10,895 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 07:23:10,907 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 07:23:10,920 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 07:23:10,933 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 07:23:10,946 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 07:23:10,959 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 07:23:10,972 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 07:23:10,990 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 07:23:11,008 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 07:23:11,024 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 07:23:11,038 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 07:23:11,056 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.742
2023-07-13 07:23:11,072 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 07:23:11,086 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 07:23:11,099 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 07:23:11,114 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 07:23:11,127 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 07:23:11,140 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 07:23:11,154 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 07:23:11,167 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 07:23:11,180 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-13 07:23:11,193 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 07:23:11,212 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 07:23:11,228 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 07:23:11,242 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-13 07:23:11,261 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 07:23:11,278 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-13 07:23:11,291 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 07:23:11,305 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 07:23:11,318 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-13 07:23:11,331 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-13 07:23:11,344 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 07:23:11,357 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 07:23:11,370 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 07:23:11,383 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 07:23:11,396 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-13 07:23:11,408 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 07:23:11,427 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 07:23:11,447 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 07:23:11,463 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 07:23:11,476 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 07:23:11,495 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 07:23:11,508 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-13 07:23:11,521 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-13 07:23:11,533 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-13 07:23:11,546 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 07:23:11,559 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 07:23:11,572 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 07:23:11,585 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 07:23:11,597 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 07:23:11,613 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 07:23:11,627 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 07:23:11,643 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 07:23:11,656 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 07:23:11,675 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 07:23:11,695 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 07:23:11,708 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 07:23:11,722 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 07:23:11,735 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 07:23:11,749 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 07:23:11,762 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 07:23:11,775 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 07:23:11,788 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 07:23:11,802 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 07:23:11,819 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 07:23:11,834 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 07:23:11,853 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 07:23:11,873 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 07:23:11,890 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 07:23:11,903 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 07:23:11,916 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 07:23:11,929 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 07:23:11,941 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 07:23:11,953 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 07:23:11,966 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 07:23:11,978 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-13 07:23:11,990 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.760
2023-07-13 07:23:44,717 semantic_segmentation INFO: Iters: 44810/50000 || Lr: 0.002604 || Task Loss: 0.1017 || KD Loss: 0.0219|| 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, 15:34:04 || Estimated Time: 4:34:58
2023-07-13 07:24:17,267 semantic_segmentation INFO: Iters: 44820/50000 || Lr: 0.002600 || Task Loss: 0.0782 || KD Loss: 0.0196|| 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, 15:34:37 || Estimated Time: 4:34:26
2023-07-13 07:24:49,941 semantic_segmentation INFO: Iters: 44830/50000 || Lr: 0.002595 || Task Loss: 0.0814 || KD Loss: 0.0225|| 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, 15:35:10 || Estimated Time: 4:33:54
2023-07-13 07:25:22,550 semantic_segmentation INFO: Iters: 44840/50000 || Lr: 0.002591 || Task Loss: 0.0998 || KD Loss: 0.0219|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0805|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:35:42 || Estimated Time: 4:33:23
2023-07-13 07:25:55,163 semantic_segmentation INFO: Iters: 44850/50000 || Lr: 0.002586 || Task Loss: 0.1037 || KD Loss: 0.0234|| 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, 15:36:15 || Estimated Time: 4:32:51
2023-07-13 07:26:27,871 semantic_segmentation INFO: Iters: 44860/50000 || Lr: 0.002582 || Task Loss: 0.0735 || KD Loss: 0.0229|| 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, 15:36:48 || Estimated Time: 4:32:19
2023-07-13 07:27:00,461 semantic_segmentation INFO: Iters: 44870/50000 || Lr: 0.002577 || Task Loss: 0.1004 || KD Loss: 0.0249|| 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, 15:37:20 || Estimated Time: 4:31:48
2023-07-13 07:27:33,008 semantic_segmentation INFO: Iters: 44880/50000 || Lr: 0.002573 || Task Loss: 0.0888 || KD Loss: 0.0208|| 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, 15:37:53 || Estimated Time: 4:31:16
2023-07-13 07:28:05,446 semantic_segmentation INFO: Iters: 44890/50000 || Lr: 0.002568 || Task Loss: 0.1088 || KD Loss: 0.0214|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0728|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:38:25 || Estimated Time: 4:30:44
2023-07-13 07:28:37,891 semantic_segmentation INFO: Iters: 44900/50000 || Lr: 0.002564 || Task Loss: 0.1004 || 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, 15:38:58 || Estimated Time: 4:30:12
2023-07-13 07:29:10,338 semantic_segmentation INFO: Iters: 44910/50000 || Lr: 0.002559 || Task Loss: 0.0939 || KD Loss: 0.0217|| 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, 15:39:30 || Estimated Time: 4:29:41
2023-07-13 07:29:42,836 semantic_segmentation INFO: Iters: 44920/50000 || Lr: 0.002555 || Task Loss: 0.0840 || KD Loss: 0.0236|| 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, 15:40:03 || Estimated Time: 4:29:09
2023-07-13 07:30:15,243 semantic_segmentation INFO: Iters: 44930/50000 || Lr: 0.002550 || Task Loss: 0.0837 || KD Loss: 0.0235|| 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, 15:40:35 || Estimated Time: 4:28:37
2023-07-13 07:30:47,805 semantic_segmentation INFO: Iters: 44940/50000 || Lr: 0.002545 || Task Loss: 0.0928 || KD Loss: 0.0230|| 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, 15:41:08 || Estimated Time: 4:28:06
2023-07-13 07:31:20,335 semantic_segmentation INFO: Iters: 44950/50000 || Lr: 0.002541 || Task Loss: 0.0980 || KD Loss: 0.0234|| 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, 15:41:40 || Estimated Time: 4:27:34
2023-07-13 07:31:53,102 semantic_segmentation INFO: Iters: 44960/50000 || Lr: 0.002536 || Task Loss: 0.0826 || KD Loss: 0.0210|| 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, 15:42:13 || Estimated Time: 4:27:02
2023-07-13 07:32:25,687 semantic_segmentation INFO: Iters: 44970/50000 || Lr: 0.002532 || Task Loss: 0.0810 || KD Loss: 0.0228|| 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, 15:42:45 || Estimated Time: 4:26:30
2023-07-13 07:32:58,358 semantic_segmentation INFO: Iters: 44980/50000 || Lr: 0.002527 || Task Loss: 0.1033 || KD Loss: 0.0262|| 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, 15:43:18 || Estimated Time: 4:25:59
2023-07-13 07:33:31,069 semantic_segmentation INFO: Iters: 44990/50000 || Lr: 0.002523 || Task Loss: 0.0803 || KD Loss: 0.0205|| 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, 15:43:51 || Estimated Time: 4:25:27
2023-07-13 07:34:03,818 semantic_segmentation INFO: Iters: 45000/50000 || Lr: 0.002518 || Task Loss: 0.0919 || KD Loss: 0.0210|| 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, 15:44:24 || Estimated Time: 4:24:55
2023-07-13 07:34:36,539 semantic_segmentation INFO: Iters: 45010/50000 || Lr: 0.002514 || Task Loss: 0.0823 || KD Loss: 0.0232|| 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, 15:44:56 || Estimated Time: 4:24:24
2023-07-13 07:35:09,083 semantic_segmentation INFO: Iters: 45020/50000 || Lr: 0.002509 || Task Loss: 0.0885 || KD Loss: 0.0195|| 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: 1 day, 15:45:29 || Estimated Time: 4:23:52
2023-07-13 07:35:41,499 semantic_segmentation INFO: Iters: 45030/50000 || Lr: 0.002505 || Task Loss: 0.0831 || KD Loss: 0.0225|| 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, 15:46:01 || Estimated Time: 4:23:20
2023-07-13 07:36:14,026 semantic_segmentation INFO: Iters: 45040/50000 || Lr: 0.002500 || Task Loss: 0.0889 || KD Loss: 0.0211|| 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, 15:46:34 || Estimated Time: 4:22:49
2023-07-13 07:36:46,439 semantic_segmentation INFO: Iters: 45050/50000 || Lr: 0.002496 || Task Loss: 0.1020 || KD Loss: 0.0222|| 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, 15:47:06 || Estimated Time: 4:22:17
2023-07-13 07:37:18,892 semantic_segmentation INFO: Iters: 45060/50000 || Lr: 0.002491 || Task Loss: 0.0967 || KD Loss: 0.0274|| 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, 15:47:39 || Estimated Time: 4:21:45
2023-07-13 07:37:51,448 semantic_segmentation INFO: Iters: 45070/50000 || Lr: 0.002487 || Task Loss: 0.0959 || KD Loss: 0.0209|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0798|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 15:48:11 || Estimated Time: 4:21:13
2023-07-13 07:38:23,916 semantic_segmentation INFO: Iters: 45080/50000 || Lr: 0.002482 || Task Loss: 0.0777 || KD Loss: 0.0234|| 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, 15:48:44 || Estimated Time: 4:20:42
2023-07-13 07:38:56,618 semantic_segmentation INFO: Iters: 45090/50000 || Lr: 0.002477 || Task Loss: 0.1043 || KD Loss: 0.0232|| 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, 15:49:16 || Estimated Time: 4:20:10
2023-07-13 07:39:29,234 semantic_segmentation INFO: Iters: 45100/50000 || Lr: 0.002473 || Task Loss: 0.0783 || KD Loss: 0.0234|| 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, 15:49:49 || Estimated Time: 4:19:38
2023-07-13 07:40:01,814 semantic_segmentation INFO: Iters: 45110/50000 || Lr: 0.002468 || Task Loss: 0.0982 || 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: 1 day, 15:50:22 || Estimated Time: 4:19:07
2023-07-13 07:40:34,439 semantic_segmentation INFO: Iters: 45120/50000 || Lr: 0.002464 || Task Loss: 0.0874 || KD Loss: 0.0228|| 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, 15:50:54 || Estimated Time: 4:18:35
2023-07-13 07:41:07,114 semantic_segmentation INFO: Iters: 45130/50000 || Lr: 0.002459 || Task Loss: 0.0861 || KD Loss: 0.0208|| 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, 15:51:27 || Estimated Time: 4:18:03
2023-07-13 07:41:39,856 semantic_segmentation INFO: Iters: 45140/50000 || Lr: 0.002455 || Task Loss: 0.1000 || KD Loss: 0.0240|| 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, 15:52:00 || Estimated Time: 4:17:31
2023-07-13 07:42:12,583 semantic_segmentation INFO: Iters: 45150/50000 || Lr: 0.002450 || Task Loss: 0.0786 || KD Loss: 0.0193|| 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, 15:52:32 || Estimated Time: 4:17:00
2023-07-13 07:42:45,212 semantic_segmentation INFO: Iters: 45160/50000 || Lr: 0.002446 || Task Loss: 0.0749 || KD Loss: 0.0227|| 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, 15:53:05 || Estimated Time: 4:16:28
2023-07-13 07:43:17,774 semantic_segmentation INFO: Iters: 45170/50000 || Lr: 0.002441 || Task Loss: 0.0784 || KD Loss: 0.0193|| 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, 15:53:38 || Estimated Time: 4:15:56
2023-07-13 07:43:50,193 semantic_segmentation INFO: Iters: 45180/50000 || Lr: 0.002437 || Task Loss: 0.0804 || KD Loss: 0.0254|| 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, 15:54:10 || Estimated Time: 4:15:25
2023-07-13 07:44:22,674 semantic_segmentation INFO: Iters: 45190/50000 || Lr: 0.002432 || Task Loss: 0.0853 || KD Loss: 0.0238|| 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, 15:54:42 || Estimated Time: 4:14:53
2023-07-13 07:44:55,012 semantic_segmentation INFO: Iters: 45200/50000 || Lr: 0.002427 || Task Loss: 0.0976 || KD Loss: 0.0230|| 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, 15:55:15 || Estimated Time: 4:14:21
2023-07-13 07:45:27,398 semantic_segmentation INFO: Iters: 45210/50000 || Lr: 0.002423 || Task Loss: 0.0877 || KD Loss: 0.0239|| 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, 15:55:47 || Estimated Time: 4:13:49
2023-07-13 07:45:59,806 semantic_segmentation INFO: Iters: 45220/50000 || Lr: 0.002418 || Task Loss: 0.0951 || KD Loss: 0.0225|| 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, 15:56:20 || Estimated Time: 4:13:18
2023-07-13 07:46:32,517 semantic_segmentation INFO: Iters: 45230/50000 || Lr: 0.002414 || Task Loss: 0.0737 || KD Loss: 0.0203|| 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, 15:56:52 || Estimated Time: 4:12:46
2023-07-13 07:47:05,158 semantic_segmentation INFO: Iters: 45240/50000 || Lr: 0.002409 || Task Loss: 0.0839 || KD Loss: 0.0219|| 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, 15:57:25 || Estimated Time: 4:12:14
2023-07-13 07:47:37,870 semantic_segmentation INFO: Iters: 45250/50000 || Lr: 0.002405 || Task Loss: 0.1056 || KD Loss: 0.0284|| 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, 15:57:58 || Estimated Time: 4:11:43
2023-07-13 07:48:10,553 semantic_segmentation INFO: Iters: 45260/50000 || Lr: 0.002400 || Task Loss: 0.0880 || KD Loss: 0.0219|| 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, 15:58:30 || Estimated Time: 4:11:11
2023-07-13 07:48:43,253 semantic_segmentation INFO: Iters: 45270/50000 || Lr: 0.002396 || Task Loss: 0.0868 || KD Loss: 0.0188|| 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, 15:59:03 || Estimated Time: 4:10:39
2023-07-13 07:49:15,915 semantic_segmentation INFO: Iters: 45280/50000 || Lr: 0.002391 || Task Loss: 0.0835 || KD Loss: 0.0207|| 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, 15:59:36 || Estimated Time: 4:10:08
2023-07-13 07:49:48,409 semantic_segmentation INFO: Iters: 45290/50000 || Lr: 0.002386 || Task Loss: 0.0800 || KD Loss: 0.0217|| 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, 16:00:08 || Estimated Time: 4:09:36
2023-07-13 07:50:20,905 semantic_segmentation INFO: Iters: 45300/50000 || Lr: 0.002382 || Task Loss: 0.0926 || KD Loss: 0.0222|| 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, 16:00:41 || Estimated Time: 4:09:04
2023-07-13 07:50:53,674 semantic_segmentation INFO: Iters: 45310/50000 || Lr: 0.002377 || Task Loss: 0.0941 || KD Loss: 0.0226|| 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, 16:01:13 || Estimated Time: 4:08:32
2023-07-13 07:51:26,056 semantic_segmentation INFO: Iters: 45320/50000 || Lr: 0.002373 || Task Loss: 0.0910 || KD Loss: 0.0212|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0750|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:01:46 || Estimated Time: 4:08:01
2023-07-13 07:51:58,492 semantic_segmentation INFO: Iters: 45330/50000 || Lr: 0.002368 || Task Loss: 0.0773 || KD Loss: 0.0213|| 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, 16:02:18 || Estimated Time: 4:07:29
2023-07-13 07:52:30,953 semantic_segmentation INFO: Iters: 45340/50000 || Lr: 0.002364 || Task Loss: 0.0784 || KD Loss: 0.0242|| 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, 16:02:51 || Estimated Time: 4:06:57
2023-07-13 07:53:03,554 semantic_segmentation INFO: Iters: 45350/50000 || Lr: 0.002359 || Task Loss: 0.1128 || KD Loss: 0.0246|| 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, 16:03:23 || Estimated Time: 4:06:25
2023-07-13 07:53:36,084 semantic_segmentation INFO: Iters: 45360/50000 || Lr: 0.002355 || Task Loss: 0.0810 || KD Loss: 0.0225|| 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, 16:03:56 || Estimated Time: 4:05:54
2023-07-13 07:54:08,637 semantic_segmentation INFO: Iters: 45370/50000 || Lr: 0.002350 || Task Loss: 0.0767 || KD Loss: 0.0224|| 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, 16:04:28 || Estimated Time: 4:05:22
2023-07-13 07:54:41,380 semantic_segmentation INFO: Iters: 45380/50000 || Lr: 0.002345 || Task Loss: 0.0762 || KD Loss: 0.0237|| 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, 16:05:01 || Estimated Time: 4:04:50
2023-07-13 07:55:13,998 semantic_segmentation INFO: Iters: 45390/50000 || Lr: 0.002341 || Task Loss: 0.0863 || KD Loss: 0.0208|| 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, 16:05:34 || Estimated Time: 4:04:19
2023-07-13 07:55:46,733 semantic_segmentation INFO: Iters: 45400/50000 || Lr: 0.002336 || Task Loss: 0.0825 || KD Loss: 0.0217|| 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, 16:06:06 || Estimated Time: 4:03:47
2023-07-13 07:56:19,343 semantic_segmentation INFO: Iters: 45410/50000 || Lr: 0.002332 || Task Loss: 0.0978 || KD Loss: 0.0238|| 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, 16:06:39 || Estimated Time: 4:03:15
2023-07-13 07:56:52,058 semantic_segmentation INFO: Iters: 45420/50000 || Lr: 0.002327 || Task Loss: 0.0790 || KD Loss: 0.0227|| 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, 16:07:12 || Estimated Time: 4:02:43
2023-07-13 07:57:24,623 semantic_segmentation INFO: Iters: 45430/50000 || Lr: 0.002323 || Task Loss: 0.0991 || KD Loss: 0.0231|| 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, 16:07:44 || Estimated Time: 4:02:12
2023-07-13 07:57:57,230 semantic_segmentation INFO: Iters: 45440/50000 || Lr: 0.002318 || Task Loss: 0.0813 || KD Loss: 0.0243|| 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, 16:08:17 || Estimated Time: 4:01:40
2023-07-13 07:58:29,616 semantic_segmentation INFO: Iters: 45450/50000 || Lr: 0.002313 || Task Loss: 0.0902 || KD Loss: 0.0202|| 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, 16:08:49 || Estimated Time: 4:01:08
2023-07-13 07:59:02,037 semantic_segmentation INFO: Iters: 45460/50000 || Lr: 0.002309 || Task Loss: 0.0925 || KD Loss: 0.0259|| 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, 16:09:22 || Estimated Time: 4:00:37
2023-07-13 07:59:34,290 semantic_segmentation INFO: Iters: 45470/50000 || Lr: 0.002304 || Task Loss: 0.1097 || KD Loss: 0.0243|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0711|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:09:54 || Estimated Time: 4:00:05
2023-07-13 08:00:06,717 semantic_segmentation INFO: Iters: 45480/50000 || Lr: 0.002300 || Task Loss: 0.1166 || KD Loss: 0.0221|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0721|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 16:10:26 || Estimated Time: 3:59:33
2023-07-13 08:00:39,159 semantic_segmentation INFO: Iters: 45490/50000 || Lr: 0.002295 || Task Loss: 0.0999 || KD Loss: 0.0248|| 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, 16:10:59 || Estimated Time: 3:59:01
2023-07-13 08:01:11,638 semantic_segmentation INFO: Iters: 45500/50000 || Lr: 0.002291 || Task Loss: 0.1007 || KD Loss: 0.0209|| 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, 16:11:31 || Estimated Time: 3:58:30
2023-07-13 08:01:44,290 semantic_segmentation INFO: Iters: 45510/50000 || Lr: 0.002286 || Task Loss: 0.0916 || KD Loss: 0.0237|| 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, 16:12:04 || Estimated Time: 3:57:58
2023-07-13 08:02:16,912 semantic_segmentation INFO: Iters: 45520/50000 || Lr: 0.002281 || Task Loss: 0.0941 || KD Loss: 0.0206|| 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, 16:12:37 || Estimated Time: 3:57:26
2023-07-13 08:02:49,434 semantic_segmentation INFO: Iters: 45530/50000 || Lr: 0.002277 || Task Loss: 0.0926 || KD Loss: 0.0222|| 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, 16:13:09 || Estimated Time: 3:56:54
2023-07-13 08:03:22,029 semantic_segmentation INFO: Iters: 45540/50000 || Lr: 0.002272 || Task Loss: 0.0940 || KD Loss: 0.0230|| 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, 16:13:42 || Estimated Time: 3:56:23
2023-07-13 08:03:54,704 semantic_segmentation INFO: Iters: 45550/50000 || Lr: 0.002268 || Task Loss: 0.0942 || KD Loss: 0.0216|| 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, 16:14:14 || Estimated Time: 3:55:51
2023-07-13 08:04:27,386 semantic_segmentation INFO: Iters: 45560/50000 || Lr: 0.002263 || Task Loss: 0.1086 || KD Loss: 0.0332|| 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, 16:14:47 || Estimated Time: 3:55:19
2023-07-13 08:05:00,059 semantic_segmentation INFO: Iters: 45570/50000 || Lr: 0.002258 || Task Loss: 0.0890 || 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, 16:15:20 || Estimated Time: 3:54:48
2023-07-13 08:05:32,592 semantic_segmentation INFO: Iters: 45580/50000 || Lr: 0.002254 || Task Loss: 0.0959 || KD Loss: 0.0239|| 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, 16:15:52 || Estimated Time: 3:54:16
2023-07-13 08:06:05,049 semantic_segmentation INFO: Iters: 45590/50000 || Lr: 0.002249 || Task Loss: 0.0817 || KD Loss: 0.0221|| 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, 16:16:25 || Estimated Time: 3:53:44
2023-07-13 08:06:37,416 semantic_segmentation INFO: Iters: 45600/50000 || Lr: 0.002245 || Task Loss: 0.0987 || KD Loss: 0.0266|| 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, 16:16:57 || Estimated Time: 3:53:12
2023-07-13 08:06:37,503 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 08:06:37,705 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-13 08:06:37,724 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.742
2023-07-13 08:06:37,737 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.963, mIoU: 0.744
2023-07-13 08:06:37,750 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 08:06:37,763 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 08:06:37,776 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 08:06:37,789 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 08:06:37,802 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.962, mIoU: 0.738
2023-07-13 08:06:37,815 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 08:06:37,828 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.735
2023-07-13 08:06:37,842 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-13 08:06:37,855 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.960, mIoU: 0.735
2023-07-13 08:06:37,868 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.960, mIoU: 0.738
2023-07-13 08:06:37,883 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.960, mIoU: 0.739
2023-07-13 08:06:37,897 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-13 08:06:37,910 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 08:06:37,924 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.744
2023-07-13 08:06:37,941 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 08:06:37,961 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 08:06:37,975 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 08:06:37,995 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 08:06:38,009 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 08:06:38,022 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 08:06:38,036 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-13 08:06:38,049 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.958, mIoU: 0.739
2023-07-13 08:06:38,063 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-13 08:06:38,076 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 08:06:38,089 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.958, mIoU: 0.740
2023-07-13 08:06:38,102 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 08:06:38,117 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 08:06:38,130 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 08:06:38,148 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 08:06:38,163 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 08:06:38,177 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 08:06:38,196 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 08:06:38,214 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.742
2023-07-13 08:06:38,228 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 08:06:38,241 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 08:06:38,254 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.956, mIoU: 0.740
2023-07-13 08:06:38,267 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 08:06:38,281 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 08:06:38,294 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 08:06:38,308 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 08:06:38,321 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 08:06:38,334 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.744
2023-07-13 08:06:38,351 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-13 08:06:38,365 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.956, mIoU: 0.747
2023-07-13 08:06:38,385 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.956, mIoU: 0.748
2023-07-13 08:06:38,399 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 08:06:38,418 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.749
2023-07-13 08:06:38,431 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.955, mIoU: 0.749
2023-07-13 08:06:38,444 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.750
2023-07-13 08:06:38,457 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 08:06:38,470 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 08:06:38,483 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 08:06:38,496 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.752
2023-07-13 08:06:38,508 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 08:06:38,521 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 08:06:38,540 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.953, mIoU: 0.755
2023-07-13 08:06:38,553 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 08:06:38,572 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.756
2023-07-13 08:06:38,589 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 08:06:38,602 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.952, mIoU: 0.757
2023-07-13 08:06:38,622 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.758
2023-07-13 08:06:38,636 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 08:06:38,649 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.951, mIoU: 0.759
2023-07-13 08:06:38,662 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.760
2023-07-13 08:06:38,675 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.950, mIoU: 0.761
2023-07-13 08:06:38,688 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.950, mIoU: 0.762
2023-07-13 08:06:38,701 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.763
2023-07-13 08:06:38,714 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 08:06:38,727 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.949, mIoU: 0.764
2023-07-13 08:06:38,746 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 08:06:38,759 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 08:06:38,778 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 08:06:38,798 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 08:06:38,811 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 08:06:38,827 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 08:06:38,840 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 08:06:38,853 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 08:06:38,867 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 08:06:38,882 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 08:06:38,895 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 08:06:38,908 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-13 08:06:38,920 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-13 08:06:38,933 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-13 08:06:38,945 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.946, mIoU: 0.760
2023-07-13 08:06:38,958 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-13 08:06:38,975 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.946, mIoU: 0.761
2023-07-13 08:06:38,991 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-13 08:06:39,006 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-13 08:06:39,026 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.946, mIoU: 0.759
2023-07-13 08:06:39,039 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 08:06:39,053 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 08:06:39,066 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 08:06:39,079 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.947, mIoU: 0.759
2023-07-13 08:06:39,092 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.947, mIoU: 0.760
2023-07-13 08:06:39,105 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 08:06:39,118 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 08:06:39,130 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 08:06:39,148 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.948, mIoU: 0.760
2023-07-13 08:07:11,789 semantic_segmentation INFO: Iters: 45610/50000 || Lr: 0.002240 || Task Loss: 0.0912 || KD Loss: 0.0230|| 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, 16:17:32 || Estimated Time: 3:52:41
2023-07-13 08:07:44,230 semantic_segmentation INFO: Iters: 45620/50000 || Lr: 0.002235 || Task Loss: 0.0973 || KD Loss: 0.0221|| 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, 16:18:04 || Estimated Time: 3:52:09
2023-07-13 08:08:16,751 semantic_segmentation INFO: Iters: 45630/50000 || Lr: 0.002231 || Task Loss: 0.0849 || KD Loss: 0.0215|| 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, 16:18:37 || Estimated Time: 3:51:37
2023-07-13 08:08:49,384 semantic_segmentation INFO: Iters: 45640/50000 || Lr: 0.002226 || Task Loss: 0.0822 || KD Loss: 0.0219|| 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, 16:19:09 || Estimated Time: 3:51:06
2023-07-13 08:09:21,986 semantic_segmentation INFO: Iters: 45650/50000 || Lr: 0.002222 || Task Loss: 0.0955 || KD Loss: 0.0215|| 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, 16:19:42 || Estimated Time: 3:50:34
2023-07-13 08:09:54,614 semantic_segmentation INFO: Iters: 45660/50000 || Lr: 0.002217 || Task Loss: 0.0849 || KD Loss: 0.0215|| 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, 16:20:14 || Estimated Time: 3:50:02
2023-07-13 08:10:27,222 semantic_segmentation INFO: Iters: 45670/50000 || Lr: 0.002213 || Task Loss: 0.0875 || KD Loss: 0.0224|| 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, 16:20:47 || Estimated Time: 3:49:30
2023-07-13 08:10:59,957 semantic_segmentation INFO: Iters: 45680/50000 || Lr: 0.002208 || Task Loss: 0.0863 || KD Loss: 0.0225|| 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, 16:21:20 || Estimated Time: 3:48:59
2023-07-13 08:11:32,714 semantic_segmentation INFO: Iters: 45690/50000 || Lr: 0.002203 || Task Loss: 0.0976 || KD Loss: 0.0232|| 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, 16:21:52 || Estimated Time: 3:48:27
2023-07-13 08:12:05,499 semantic_segmentation INFO: Iters: 45700/50000 || Lr: 0.002199 || Task Loss: 0.0764 || KD Loss: 0.0224|| 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, 16:22:25 || Estimated Time: 3:47:55
2023-07-13 08:12:38,237 semantic_segmentation INFO: Iters: 45710/50000 || Lr: 0.002194 || Task Loss: 0.1023 || KD Loss: 0.0249|| 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, 16:22:58 || Estimated Time: 3:47:24
2023-07-13 08:13:10,941 semantic_segmentation INFO: Iters: 45720/50000 || Lr: 0.002190 || Task Loss: 0.0863 || KD Loss: 0.0243|| 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, 16:23:31 || Estimated Time: 3:46:52
2023-07-13 08:13:43,439 semantic_segmentation INFO: Iters: 45730/50000 || Lr: 0.002185 || Task Loss: 0.1047 || KD Loss: 0.0250|| 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, 16:24:03 || Estimated Time: 3:46:20
2023-07-13 08:14:15,868 semantic_segmentation INFO: Iters: 45740/50000 || Lr: 0.002180 || Task Loss: 0.0976 || KD Loss: 0.0246|| 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, 16:24:36 || Estimated Time: 3:45:48
2023-07-13 08:14:48,310 semantic_segmentation INFO: Iters: 45750/50000 || Lr: 0.002176 || Task Loss: 0.0926 || KD Loss: 0.0227|| 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, 16:25:08 || Estimated Time: 3:45:17
2023-07-13 08:15:20,994 semantic_segmentation INFO: Iters: 45760/50000 || Lr: 0.002171 || Task Loss: 0.1008 || KD Loss: 0.0254|| 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, 16:25:41 || Estimated Time: 3:44:45
2023-07-13 08:15:53,631 semantic_segmentation INFO: Iters: 45770/50000 || Lr: 0.002166 || Task Loss: 0.0839 || KD Loss: 0.0211|| 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, 16:26:13 || Estimated Time: 3:44:13
2023-07-13 08:16:26,331 semantic_segmentation INFO: Iters: 45780/50000 || Lr: 0.002162 || Task Loss: 0.0886 || KD Loss: 0.0200|| 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, 16:26:46 || Estimated Time: 3:43:41
2023-07-13 08:16:58,984 semantic_segmentation INFO: Iters: 45790/50000 || Lr: 0.002157 || Task Loss: 0.0851 || KD Loss: 0.0226|| 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, 16:27:19 || Estimated Time: 3:43:10
2023-07-13 08:17:31,765 semantic_segmentation INFO: Iters: 45800/50000 || Lr: 0.002153 || Task Loss: 0.0651 || KD Loss: 0.0196|| 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, 16:27:52 || Estimated Time: 3:42:38
2023-07-13 08:18:04,456 semantic_segmentation INFO: Iters: 45810/50000 || Lr: 0.002148 || Task Loss: 0.0759 || KD Loss: 0.0203|| 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, 16:28:24 || Estimated Time: 3:42:06
2023-07-13 08:18:37,261 semantic_segmentation INFO: Iters: 45820/50000 || Lr: 0.002143 || Task Loss: 0.0914 || KD Loss: 0.0216|| 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, 16:28:57 || Estimated Time: 3:41:35
2023-07-13 08:19:09,839 semantic_segmentation INFO: Iters: 45830/50000 || Lr: 0.002139 || Task Loss: 0.0897 || KD Loss: 0.0223|| 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, 16:29:30 || Estimated Time: 3:41:03
2023-07-13 08:19:42,540 semantic_segmentation INFO: Iters: 45840/50000 || Lr: 0.002134 || Task Loss: 0.0955 || KD Loss: 0.0253|| 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, 16:30:02 || Estimated Time: 3:40:31
2023-07-13 08:20:15,073 semantic_segmentation INFO: Iters: 45850/50000 || Lr: 0.002130 || Task Loss: 0.0989 || KD Loss: 0.0214|| 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, 16:30:35 || Estimated Time: 3:39:59
2023-07-13 08:20:47,484 semantic_segmentation INFO: Iters: 45860/50000 || Lr: 0.002125 || Task Loss: 0.0943 || KD Loss: 0.0223|| 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, 16:31:07 || Estimated Time: 3:39:28
2023-07-13 08:21:19,882 semantic_segmentation INFO: Iters: 45870/50000 || Lr: 0.002120 || Task Loss: 0.0883 || KD Loss: 0.0209|| 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, 16:31:40 || Estimated Time: 3:38:56
2023-07-13 08:21:52,434 semantic_segmentation INFO: Iters: 45880/50000 || Lr: 0.002116 || Task Loss: 0.0941 || KD Loss: 0.0207|| 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, 16:32:12 || Estimated Time: 3:38:24
2023-07-13 08:22:24,988 semantic_segmentation INFO: Iters: 45890/50000 || Lr: 0.002111 || Task Loss: 0.0754 || KD Loss: 0.0205|| 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, 16:32:45 || Estimated Time: 3:37:52
2023-07-13 08:22:57,581 semantic_segmentation INFO: Iters: 45900/50000 || Lr: 0.002106 || Task Loss: 0.1002 || KD Loss: 0.0212|| 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, 16:33:17 || Estimated Time: 3:37:21
2023-07-13 08:23:30,160 semantic_segmentation INFO: Iters: 45910/50000 || Lr: 0.002102 || Task Loss: 0.0815 || KD Loss: 0.0223|| 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, 16:33:50 || Estimated Time: 3:36:49
2023-07-13 08:24:02,889 semantic_segmentation INFO: Iters: 45920/50000 || Lr: 0.002097 || Task Loss: 0.0887 || KD Loss: 0.0220|| 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, 16:34:23 || Estimated Time: 3:36:17
2023-07-13 08:24:35,701 semantic_segmentation INFO: Iters: 45930/50000 || Lr: 0.002093 || Task Loss: 0.1001 || KD Loss: 0.0234|| 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, 16:34:55 || Estimated Time: 3:35:45
2023-07-13 08:25:08,445 semantic_segmentation INFO: Iters: 45940/50000 || Lr: 0.002088 || Task Loss: 0.0901 || KD Loss: 0.0242|| 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, 16:35:28 || Estimated Time: 3:35:14
2023-07-13 08:25:41,194 semantic_segmentation INFO: Iters: 45950/50000 || Lr: 0.002083 || Task Loss: 0.0803 || KD Loss: 0.0219|| 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, 16:36:01 || Estimated Time: 3:34:42
2023-07-13 08:26:13,965 semantic_segmentation INFO: Iters: 45960/50000 || Lr: 0.002079 || Task Loss: 0.0750 || KD Loss: 0.0197|| 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, 16:36:34 || Estimated Time: 3:34:10
2023-07-13 08:26:46,755 semantic_segmentation INFO: Iters: 45970/50000 || Lr: 0.002074 || Task Loss: 0.0897 || KD Loss: 0.0200|| 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, 16:37:07 || Estimated Time: 3:33:39
2023-07-13 08:27:19,474 semantic_segmentation INFO: Iters: 45980/50000 || Lr: 0.002069 || Task Loss: 0.0764 || KD Loss: 0.0229|| 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, 16:37:39 || Estimated Time: 3:33:07
2023-07-13 08:27:52,358 semantic_segmentation INFO: Iters: 45990/50000 || Lr: 0.002065 || Task Loss: 0.0937 || KD Loss: 0.0216|| 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, 16:38:12 || Estimated Time: 3:32:35
2023-07-13 08:28:24,849 semantic_segmentation INFO: Iters: 46000/50000 || Lr: 0.002060 || Task Loss: 0.0839 || KD Loss: 0.0243|| 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, 16:38:45 || Estimated Time: 3:32:03
2023-07-13 08:28:57,362 semantic_segmentation INFO: Iters: 46010/50000 || Lr: 0.002056 || Task Loss: 0.0843 || KD Loss: 0.0193|| 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, 16:39:17 || Estimated Time: 3:31:32
2023-07-13 08:29:29,753 semantic_segmentation INFO: Iters: 46020/50000 || Lr: 0.002051 || Task Loss: 0.0781 || KD Loss: 0.0234|| 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, 16:39:50 || Estimated Time: 3:31:00
2023-07-13 08:30:02,186 semantic_segmentation INFO: Iters: 46030/50000 || Lr: 0.002046 || Task Loss: 0.1017 || KD Loss: 0.0242|| 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, 16:40:22 || Estimated Time: 3:30:28
2023-07-13 08:30:34,700 semantic_segmentation INFO: Iters: 46040/50000 || Lr: 0.002042 || Task Loss: 0.0953 || KD Loss: 0.0245|| 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, 16:40:54 || Estimated Time: 3:29:56
2023-07-13 08:31:07,312 semantic_segmentation INFO: Iters: 46050/50000 || Lr: 0.002037 || Task Loss: 0.0863 || KD Loss: 0.0217|| 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, 16:41:27 || Estimated Time: 3:29:25
2023-07-13 08:31:39,929 semantic_segmentation INFO: Iters: 46060/50000 || Lr: 0.002032 || Task Loss: 0.0931 || KD Loss: 0.0213|| 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, 16:42:00 || Estimated Time: 3:28:53
2023-07-13 08:32:12,552 semantic_segmentation INFO: Iters: 46070/50000 || Lr: 0.002028 || Task Loss: 0.1014 || KD Loss: 0.0310|| 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, 16:42:32 || Estimated Time: 3:28:21
2023-07-13 08:32:45,139 semantic_segmentation INFO: Iters: 46080/50000 || Lr: 0.002023 || Task Loss: 0.1054 || KD Loss: 0.0245|| 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, 16:43:05 || Estimated Time: 3:27:49
2023-07-13 08:33:17,899 semantic_segmentation INFO: Iters: 46090/50000 || Lr: 0.002018 || Task Loss: 0.0960 || KD Loss: 0.0228|| 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, 16:43:38 || Estimated Time: 3:27:18
2023-07-13 08:33:50,701 semantic_segmentation INFO: Iters: 46100/50000 || Lr: 0.002014 || Task Loss: 0.1060 || KD Loss: 0.0244|| 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, 16:44:10 || Estimated Time: 3:26:46
2023-07-13 08:34:23,413 semantic_segmentation INFO: Iters: 46110/50000 || Lr: 0.002009 || Task Loss: 0.0888 || KD Loss: 0.0209|| 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, 16:44:43 || Estimated Time: 3:26:14
2023-07-13 08:34:56,025 semantic_segmentation INFO: Iters: 46120/50000 || Lr: 0.002005 || Task Loss: 0.0994 || KD Loss: 0.0218|| 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, 16:45:16 || Estimated Time: 3:25:42
2023-07-13 08:35:28,584 semantic_segmentation INFO: Iters: 46130/50000 || Lr: 0.002000 || Task Loss: 0.0795 || KD Loss: 0.0250|| 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, 16:45:48 || Estimated Time: 3:25:11
2023-07-13 08:36:01,054 semantic_segmentation INFO: Iters: 46140/50000 || Lr: 0.001995 || Task Loss: 0.0876 || KD Loss: 0.0259|| 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, 16:46:21 || Estimated Time: 3:24:39
2023-07-13 08:36:33,533 semantic_segmentation INFO: Iters: 46150/50000 || Lr: 0.001991 || Task Loss: 0.0920 || KD Loss: 0.0252|| 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, 16:46:53 || Estimated Time: 3:24:07
2023-07-13 08:37:05,917 semantic_segmentation INFO: Iters: 46160/50000 || Lr: 0.001986 || Task Loss: 0.0860 || KD Loss: 0.0228|| 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, 16:47:26 || Estimated Time: 3:23:35
2023-07-13 08:37:38,365 semantic_segmentation INFO: Iters: 46170/50000 || Lr: 0.001981 || Task Loss: 0.0940 || KD Loss: 0.0243|| 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, 16:47:58 || Estimated Time: 3:23:04
2023-07-13 08:38:10,774 semantic_segmentation INFO: Iters: 46180/50000 || Lr: 0.001977 || Task Loss: 0.0870 || KD Loss: 0.0250|| 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, 16:48:31 || Estimated Time: 3:22:32
2023-07-13 08:38:43,385 semantic_segmentation INFO: Iters: 46190/50000 || Lr: 0.001972 || Task Loss: 0.0856 || KD Loss: 0.0252|| 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, 16:49:03 || Estimated Time: 3:22:00
2023-07-13 08:39:15,889 semantic_segmentation INFO: Iters: 46200/50000 || Lr: 0.001967 || Task Loss: 0.0961 || KD Loss: 0.0218|| 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, 16:49:36 || Estimated Time: 3:21:28
2023-07-13 08:39:48,614 semantic_segmentation INFO: Iters: 46210/50000 || Lr: 0.001963 || Task Loss: 0.0933 || KD Loss: 0.0224|| 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, 16:50:08 || Estimated Time: 3:20:57
2023-07-13 08:40:21,237 semantic_segmentation INFO: Iters: 46220/50000 || Lr: 0.001958 || Task Loss: 0.0838 || KD Loss: 0.0228|| 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, 16:50:41 || Estimated Time: 3:20:25
2023-07-13 08:40:53,784 semantic_segmentation INFO: Iters: 46230/50000 || Lr: 0.001953 || Task Loss: 0.0763 || KD Loss: 0.0210|| 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, 16:51:14 || Estimated Time: 3:19:53
2023-07-13 08:41:26,531 semantic_segmentation INFO: Iters: 46240/50000 || Lr: 0.001949 || Task Loss: 0.0870 || KD Loss: 0.0190|| 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, 16:51:46 || Estimated Time: 3:19:21
2023-07-13 08:41:59,327 semantic_segmentation INFO: Iters: 46250/50000 || Lr: 0.001944 || Task Loss: 0.0828 || KD Loss: 0.0201|| 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, 16:52:19 || Estimated Time: 3:18:50
2023-07-13 08:42:31,894 semantic_segmentation INFO: Iters: 46260/50000 || Lr: 0.001939 || Task Loss: 0.1055 || KD Loss: 0.0210|| 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: 1 day, 16:52:52 || Estimated Time: 3:18:18
2023-07-13 08:43:04,406 semantic_segmentation INFO: Iters: 46270/50000 || Lr: 0.001935 || Task Loss: 0.0828 || KD Loss: 0.0217|| 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, 16:53:24 || Estimated Time: 3:17:46
2023-07-13 08:43:36,891 semantic_segmentation INFO: Iters: 46280/50000 || Lr: 0.001930 || Task Loss: 0.0951 || KD Loss: 0.0216|| 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, 16:53:57 || Estimated Time: 3:17:14
2023-07-13 08:44:09,336 semantic_segmentation INFO: Iters: 46290/50000 || Lr: 0.001925 || Task Loss: 0.0918 || KD Loss: 0.0255|| 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, 16:54:29 || Estimated Time: 3:16:43
2023-07-13 08:44:41,794 semantic_segmentation INFO: Iters: 46300/50000 || Lr: 0.001921 || Task Loss: 0.0890 || KD Loss: 0.0211|| 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, 16:55:02 || Estimated Time: 3:16:11
2023-07-13 08:45:14,273 semantic_segmentation INFO: Iters: 46310/50000 || Lr: 0.001916 || Task Loss: 0.0814 || KD Loss: 0.0214|| 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, 16:55:34 || Estimated Time: 3:15:39
2023-07-13 08:45:46,870 semantic_segmentation INFO: Iters: 46320/50000 || Lr: 0.001911 || Task Loss: 0.0841 || KD Loss: 0.0214|| 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, 16:56:07 || Estimated Time: 3:15:07
2023-07-13 08:46:19,428 semantic_segmentation INFO: Iters: 46330/50000 || Lr: 0.001907 || Task Loss: 0.0934 || KD Loss: 0.0275|| 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, 16:56:39 || Estimated Time: 3:14:36
2023-07-13 08:46:51,989 semantic_segmentation INFO: Iters: 46340/50000 || Lr: 0.001902 || Task Loss: 0.0899 || 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, 16:57:12 || Estimated Time: 3:14:04
2023-07-13 08:47:24,680 semantic_segmentation INFO: Iters: 46350/50000 || Lr: 0.001897 || Task Loss: 0.0970 || KD Loss: 0.0216|| 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, 16:57:44 || Estimated Time: 3:13:32
2023-07-13 08:47:57,298 semantic_segmentation INFO: Iters: 46360/50000 || Lr: 0.001893 || Task Loss: 0.0869 || KD Loss: 0.0215|| 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, 16:58:17 || Estimated Time: 3:13:00
2023-07-13 08:48:30,052 semantic_segmentation INFO: Iters: 46370/50000 || Lr: 0.001888 || Task Loss: 0.0895 || KD Loss: 0.0212|| 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, 16:58:50 || Estimated Time: 3:12:29
2023-07-13 08:49:02,632 semantic_segmentation INFO: Iters: 46380/50000 || Lr: 0.001883 || Task Loss: 0.0720 || KD Loss: 0.0217|| 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, 16:59:22 || Estimated Time: 3:11:57
2023-07-13 08:49:35,189 semantic_segmentation INFO: Iters: 46390/50000 || Lr: 0.001879 || Task Loss: 0.0896 || KD Loss: 0.0209|| 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, 16:59:55 || Estimated Time: 3:11:25
2023-07-13 08:50:07,765 semantic_segmentation INFO: Iters: 46400/50000 || Lr: 0.001874 || Task Loss: 0.0862 || KD Loss: 0.0202|| 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, 17:00:28 || Estimated Time: 3:10:53
2023-07-13 08:50:07,848 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 08:50:08,053 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.742
2023-07-13 08:50:08,067 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.745
2023-07-13 08:50:08,080 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.746
2023-07-13 08:50:08,093 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.743
2023-07-13 08:50:08,105 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 08:50:08,117 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-13 08:50:08,130 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.964, mIoU: 0.740
2023-07-13 08:50:08,143 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-13 08:50:08,157 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 08:50:08,169 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 08:50:08,181 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 08:50:08,194 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-13 08:50:08,206 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.962, mIoU: 0.740
2023-07-13 08:50:08,219 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.962, mIoU: 0.741
2023-07-13 08:50:08,232 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.962, mIoU: 0.743
2023-07-13 08:50:08,244 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.962, mIoU: 0.745
2023-07-13 08:50:08,258 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.746
2023-07-13 08:50:08,273 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.748
2023-07-13 08:50:08,288 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 08:50:08,305 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 08:50:08,320 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 08:50:08,333 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 08:50:08,352 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 08:50:08,366 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 08:50:08,380 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 08:50:08,393 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 08:50:08,406 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 08:50:08,420 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 08:50:08,434 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 08:50:08,447 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 08:50:08,461 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 08:50:08,481 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 08:50:08,501 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 08:50:08,519 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 08:50:08,533 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 08:50:08,549 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 08:50:08,567 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 08:50:08,580 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 08:50:08,593 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.958, mIoU: 0.742
2023-07-13 08:50:08,607 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 08:50:08,620 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 08:50:08,633 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-13 08:50:08,646 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.958, mIoU: 0.745
2023-07-13 08:50:08,659 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.958, mIoU: 0.746
2023-07-13 08:50:08,672 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 08:50:08,685 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 08:50:08,697 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 08:50:08,716 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-13 08:50:08,734 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 08:50:08,752 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 08:50:08,765 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-13 08:50:08,779 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-13 08:50:08,792 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.956, mIoU: 0.753
2023-07-13 08:50:08,805 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.956, mIoU: 0.753
2023-07-13 08:50:08,819 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 08:50:08,832 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 08:50:08,846 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-13 08:50:08,860 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-13 08:50:08,873 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.955, mIoU: 0.757
2023-07-13 08:50:08,893 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 08:50:08,908 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 08:50:08,927 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.954, mIoU: 0.759
2023-07-13 08:50:08,946 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 08:50:08,963 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 08:50:08,977 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.953, mIoU: 0.761
2023-07-13 08:50:08,990 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 08:50:09,003 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.762
2023-07-13 08:50:09,016 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.952, mIoU: 0.763
2023-07-13 08:50:09,029 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-13 08:50:09,041 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.951, mIoU: 0.765
2023-07-13 08:50:09,054 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.951, mIoU: 0.766
2023-07-13 08:50:09,066 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 08:50:09,079 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 08:50:09,095 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 08:50:09,108 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 08:50:09,127 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 08:50:09,143 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 08:50:09,156 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 08:50:09,176 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 08:50:09,189 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 08:50:09,203 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 08:50:09,216 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 08:50:09,229 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 08:50:09,242 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 08:50:09,255 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 08:50:09,269 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 08:50:09,282 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 08:50:09,302 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 08:50:09,315 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 08:50:09,337 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 08:50:09,356 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 08:50:09,372 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 08:50:09,387 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 08:50:09,400 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 08:50:09,412 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 08:50:09,425 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 08:50:09,438 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 08:50:09,450 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 08:50:09,463 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 08:50:09,475 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 08:50:09,488 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 08:50:42,154 semantic_segmentation INFO: Iters: 46410/50000 || Lr: 0.001869 || Task Loss: 0.0874 || KD Loss: 0.0199|| 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, 17:01:02 || Estimated Time: 3:10:22
2023-07-13 08:51:14,623 semantic_segmentation INFO: Iters: 46420/50000 || Lr: 0.001864 || Task Loss: 0.0950 || KD Loss: 0.0214|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0743|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:01:34 || Estimated Time: 3:09:50
2023-07-13 08:51:47,050 semantic_segmentation INFO: Iters: 46430/50000 || Lr: 0.001860 || Task Loss: 0.0805 || KD Loss: 0.0216|| 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, 17:02:07 || Estimated Time: 3:09:18
2023-07-13 08:52:19,588 semantic_segmentation INFO: Iters: 46440/50000 || Lr: 0.001855 || Task Loss: 0.0774 || KD Loss: 0.0212|| 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, 17:02:39 || Estimated Time: 3:08:46
2023-07-13 08:52:52,153 semantic_segmentation INFO: Iters: 46450/50000 || Lr: 0.001850 || Task Loss: 0.0922 || KD Loss: 0.0224|| 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, 17:03:12 || Estimated Time: 3:08:15
2023-07-13 08:53:24,743 semantic_segmentation INFO: Iters: 46460/50000 || Lr: 0.001846 || Task Loss: 0.0884 || KD Loss: 0.0214|| 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, 17:03:45 || Estimated Time: 3:07:43
2023-07-13 08:53:57,526 semantic_segmentation INFO: Iters: 46470/50000 || Lr: 0.001841 || Task Loss: 0.0907 || KD Loss: 0.0257|| 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, 17:04:17 || Estimated Time: 3:07:11
2023-07-13 08:54:30,249 semantic_segmentation INFO: Iters: 46480/50000 || Lr: 0.001836 || Task Loss: 0.0926 || KD Loss: 0.0207|| 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, 17:04:50 || Estimated Time: 3:06:39
2023-07-13 08:55:02,951 semantic_segmentation INFO: Iters: 46490/50000 || Lr: 0.001832 || Task Loss: 0.0802 || KD Loss: 0.0204|| 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, 17:05:23 || Estimated Time: 3:06:08
2023-07-13 08:55:35,714 semantic_segmentation INFO: Iters: 46500/50000 || Lr: 0.001827 || Task Loss: 0.0891 || KD Loss: 0.0241|| 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, 17:05:55 || Estimated Time: 3:05:36
2023-07-13 08:56:08,389 semantic_segmentation INFO: Iters: 46510/50000 || Lr: 0.001822 || Task Loss: 0.0809 || KD Loss: 0.0214|| 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, 17:06:28 || Estimated Time: 3:05:04
2023-07-13 08:56:41,157 semantic_segmentation INFO: Iters: 46520/50000 || Lr: 0.001818 || Task Loss: 0.0851 || KD Loss: 0.0238|| 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, 17:07:01 || Estimated Time: 3:04:32
2023-07-13 08:57:13,927 semantic_segmentation INFO: Iters: 46530/50000 || Lr: 0.001813 || Task Loss: 0.0838 || KD Loss: 0.0202|| 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, 17:07:34 || Estimated Time: 3:04:01
2023-07-13 08:57:46,715 semantic_segmentation INFO: Iters: 46540/50000 || Lr: 0.001808 || Task Loss: 0.0760 || KD Loss: 0.0213|| 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, 17:08:06 || Estimated Time: 3:03:29
2023-07-13 08:58:19,447 semantic_segmentation INFO: Iters: 46550/50000 || Lr: 0.001803 || Task Loss: 0.0843 || KD Loss: 0.0253|| 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, 17:08:39 || Estimated Time: 3:02:57
2023-07-13 08:58:51,954 semantic_segmentation INFO: Iters: 46560/50000 || Lr: 0.001799 || Task Loss: 0.0830 || KD Loss: 0.0208|| 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, 17:09:12 || Estimated Time: 3:02:25
2023-07-13 08:59:24,479 semantic_segmentation INFO: Iters: 46570/50000 || Lr: 0.001794 || Task Loss: 0.0876 || KD Loss: 0.0225|| 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, 17:09:44 || Estimated Time: 3:01:54
2023-07-13 08:59:56,936 semantic_segmentation INFO: Iters: 46580/50000 || Lr: 0.001789 || Task Loss: 0.0872 || KD Loss: 0.0213|| 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, 17:10:17 || Estimated Time: 3:01:22
2023-07-13 09:00:29,465 semantic_segmentation INFO: Iters: 46590/50000 || Lr: 0.001785 || Task Loss: 0.0952 || KD Loss: 0.0247|| 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, 17:10:49 || Estimated Time: 3:00:50
2023-07-13 09:01:01,994 semantic_segmentation INFO: Iters: 46600/50000 || Lr: 0.001780 || Task Loss: 0.0886 || KD Loss: 0.0244|| 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, 17:11:22 || Estimated Time: 3:00:18
2023-07-13 09:01:34,317 semantic_segmentation INFO: Iters: 46610/50000 || Lr: 0.001775 || Task Loss: 0.0885 || KD Loss: 0.0230|| 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, 17:11:54 || Estimated Time: 2:59:47
2023-07-13 09:02:06,832 semantic_segmentation INFO: Iters: 46620/50000 || Lr: 0.001771 || Task Loss: 0.0811 || KD Loss: 0.0224|| 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, 17:12:27 || Estimated Time: 2:59:15
2023-07-13 09:02:39,357 semantic_segmentation INFO: Iters: 46630/50000 || Lr: 0.001766 || Task Loss: 0.1024 || KD Loss: 0.0242|| 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, 17:12:59 || Estimated Time: 2:58:43
2023-07-13 09:03:11,886 semantic_segmentation INFO: Iters: 46640/50000 || Lr: 0.001761 || Task Loss: 0.1003 || KD Loss: 0.0227|| 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, 17:13:32 || Estimated Time: 2:58:11
2023-07-13 09:03:44,467 semantic_segmentation INFO: Iters: 46650/50000 || Lr: 0.001756 || Task Loss: 0.0841 || KD Loss: 0.0223|| 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, 17:14:04 || Estimated Time: 2:57:39
2023-07-13 09:04:17,042 semantic_segmentation INFO: Iters: 46660/50000 || Lr: 0.001752 || Task Loss: 0.0871 || 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, 17:14:37 || Estimated Time: 2:57:08
2023-07-13 09:04:49,582 semantic_segmentation INFO: Iters: 46670/50000 || Lr: 0.001747 || Task Loss: 0.1021 || KD Loss: 0.0236|| 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, 17:15:09 || Estimated Time: 2:56:36
2023-07-13 09:05:22,147 semantic_segmentation INFO: Iters: 46680/50000 || Lr: 0.001742 || Task Loss: 0.0789 || KD Loss: 0.0193|| 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, 17:15:42 || Estimated Time: 2:56:04
2023-07-13 09:05:54,712 semantic_segmentation INFO: Iters: 46690/50000 || Lr: 0.001737 || Task Loss: 0.0977 || KD Loss: 0.0232|| 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, 17:16:14 || Estimated Time: 2:55:32
2023-07-13 09:06:27,277 semantic_segmentation INFO: Iters: 46700/50000 || Lr: 0.001733 || Task Loss: 0.1078 || KD Loss: 0.0278|| 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, 17:16:47 || Estimated Time: 2:55:01
2023-07-13 09:06:59,854 semantic_segmentation INFO: Iters: 46710/50000 || Lr: 0.001728 || Task Loss: 0.0896 || KD Loss: 0.0218|| 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, 17:17:20 || Estimated Time: 2:54:29
2023-07-13 09:07:32,415 semantic_segmentation INFO: Iters: 46720/50000 || Lr: 0.001723 || Task Loss: 0.0765 || KD Loss: 0.0224|| 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, 17:17:52 || Estimated Time: 2:53:57
2023-07-13 09:08:05,021 semantic_segmentation INFO: Iters: 46730/50000 || Lr: 0.001719 || Task Loss: 0.0787 || KD Loss: 0.0227|| 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, 17:18:25 || Estimated Time: 2:53:25
2023-07-13 09:08:37,614 semantic_segmentation INFO: Iters: 46740/50000 || Lr: 0.001714 || Task Loss: 0.0965 || KD Loss: 0.0230|| 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, 17:18:57 || Estimated Time: 2:52:54
2023-07-13 09:09:10,281 semantic_segmentation INFO: Iters: 46750/50000 || Lr: 0.001709 || Task Loss: 0.1045 || 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: 1 day, 17:19:30 || Estimated Time: 2:52:22
2023-07-13 09:09:42,825 semantic_segmentation INFO: Iters: 46760/50000 || Lr: 0.001704 || Task Loss: 0.0939 || KD Loss: 0.0211|| 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, 17:20:03 || Estimated Time: 2:51:50
2023-07-13 09:10:15,412 semantic_segmentation INFO: Iters: 46770/50000 || Lr: 0.001700 || Task Loss: 0.1044 || KD Loss: 0.0234|| 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, 17:20:35 || Estimated Time: 2:51:18
2023-07-13 09:10:48,133 semantic_segmentation INFO: Iters: 46780/50000 || Lr: 0.001695 || Task Loss: 0.0981 || KD Loss: 0.0230|| 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, 17:21:08 || Estimated Time: 2:50:46
2023-07-13 09:11:20,707 semantic_segmentation INFO: Iters: 46790/50000 || Lr: 0.001690 || Task Loss: 0.0953 || KD Loss: 0.0199|| 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, 17:21:40 || Estimated Time: 2:50:15
2023-07-13 09:11:53,292 semantic_segmentation INFO: Iters: 46800/50000 || Lr: 0.001685 || Task Loss: 0.0938 || KD Loss: 0.0208|| 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, 17:22:13 || Estimated Time: 2:49:43
2023-07-13 09:12:25,884 semantic_segmentation INFO: Iters: 46810/50000 || Lr: 0.001681 || Task Loss: 0.0914 || KD Loss: 0.0269|| 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, 17:22:46 || Estimated Time: 2:49:11
2023-07-13 09:12:58,576 semantic_segmentation INFO: Iters: 46820/50000 || Lr: 0.001676 || Task Loss: 0.0770 || KD Loss: 0.0197|| 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, 17:23:18 || Estimated Time: 2:48:39
2023-07-13 09:13:31,163 semantic_segmentation INFO: Iters: 46830/50000 || Lr: 0.001671 || Task Loss: 0.0917 || KD Loss: 0.0201|| 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, 17:23:51 || Estimated Time: 2:48:08
2023-07-13 09:14:03,772 semantic_segmentation INFO: Iters: 46840/50000 || Lr: 0.001666 || Task Loss: 0.0895 || KD Loss: 0.0221|| 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, 17:24:24 || Estimated Time: 2:47:36
2023-07-13 09:14:36,472 semantic_segmentation INFO: Iters: 46850/50000 || Lr: 0.001662 || Task Loss: 0.0922 || KD Loss: 0.0267|| 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, 17:24:56 || Estimated Time: 2:47:04
2023-07-13 09:15:09,065 semantic_segmentation INFO: Iters: 46860/50000 || Lr: 0.001657 || Task Loss: 0.0865 || KD Loss: 0.0214|| 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, 17:25:29 || Estimated Time: 2:46:32
2023-07-13 09:15:41,643 semantic_segmentation INFO: Iters: 46870/50000 || Lr: 0.001652 || Task Loss: 0.0919 || KD Loss: 0.0198|| 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, 17:26:01 || Estimated Time: 2:46:01
2023-07-13 09:16:14,291 semantic_segmentation INFO: Iters: 46880/50000 || Lr: 0.001647 || Task Loss: 0.0911 || KD Loss: 0.0233|| 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, 17:26:34 || Estimated Time: 2:45:29
2023-07-13 09:16:47,016 semantic_segmentation INFO: Iters: 46890/50000 || Lr: 0.001643 || Task Loss: 0.1044 || KD Loss: 0.0240|| 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, 17:27:07 || Estimated Time: 2:44:57
2023-07-13 09:17:19,610 semantic_segmentation INFO: Iters: 46900/50000 || Lr: 0.001638 || Task Loss: 0.0857 || KD Loss: 0.0222|| 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, 17:27:39 || Estimated Time: 2:44:25
2023-07-13 09:17:52,270 semantic_segmentation INFO: Iters: 46910/50000 || Lr: 0.001633 || Task Loss: 0.0724 || KD Loss: 0.0206|| 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, 17:28:12 || Estimated Time: 2:43:53
2023-07-13 09:18:24,885 semantic_segmentation INFO: Iters: 46920/50000 || Lr: 0.001628 || Task Loss: 0.0835 || KD Loss: 0.0216|| 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, 17:28:45 || Estimated Time: 2:43:22
2023-07-13 09:18:57,594 semantic_segmentation INFO: Iters: 46930/50000 || Lr: 0.001624 || Task Loss: 0.0888 || KD Loss: 0.0218|| 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: 1 day, 17:29:17 || Estimated Time: 2:42:50
2023-07-13 09:19:30,182 semantic_segmentation INFO: Iters: 46940/50000 || Lr: 0.001619 || Task Loss: 0.0959 || KD Loss: 0.0249|| 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, 17:29:50 || Estimated Time: 2:42:18
2023-07-13 09:20:02,796 semantic_segmentation INFO: Iters: 46950/50000 || Lr: 0.001614 || Task Loss: 0.1092 || KD Loss: 0.0242|| 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, 17:30:23 || Estimated Time: 2:41:46
2023-07-13 09:20:35,484 semantic_segmentation INFO: Iters: 46960/50000 || Lr: 0.001609 || Task Loss: 0.0861 || KD Loss: 0.0233|| 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, 17:30:55 || Estimated Time: 2:41:15
2023-07-13 09:21:08,071 semantic_segmentation INFO: Iters: 46970/50000 || Lr: 0.001605 || Task Loss: 0.0776 || KD Loss: 0.0199|| 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, 17:31:28 || Estimated Time: 2:40:43
2023-07-13 09:21:40,686 semantic_segmentation INFO: Iters: 46980/50000 || Lr: 0.001600 || Task Loss: 0.0879 || 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, 17:32:00 || Estimated Time: 2:40:11
2023-07-13 09:22:13,350 semantic_segmentation INFO: Iters: 46990/50000 || Lr: 0.001595 || Task Loss: 0.0804 || KD Loss: 0.0223|| 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, 17:32:33 || Estimated Time: 2:39:39
2023-07-13 09:22:46,024 semantic_segmentation INFO: Iters: 47000/50000 || Lr: 0.001590 || Task Loss: 0.0822 || KD Loss: 0.0215|| 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, 17:33:06 || Estimated Time: 2:39:07
2023-07-13 09:23:18,681 semantic_segmentation INFO: Iters: 47010/50000 || Lr: 0.001586 || Task Loss: 0.1018 || KD Loss: 0.0239|| 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, 17:33:38 || Estimated Time: 2:38:36
2023-07-13 09:23:51,282 semantic_segmentation INFO: Iters: 47020/50000 || Lr: 0.001581 || Task Loss: 0.0868 || KD Loss: 0.0256|| 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, 17:34:11 || Estimated Time: 2:38:04
2023-07-13 09:24:23,911 semantic_segmentation INFO: Iters: 47030/50000 || Lr: 0.001576 || Task Loss: 0.0854 || KD Loss: 0.0227|| 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, 17:34:44 || Estimated Time: 2:37:32
2023-07-13 09:24:56,502 semantic_segmentation INFO: Iters: 47040/50000 || Lr: 0.001571 || Task Loss: 0.0988 || KD Loss: 0.0224|| 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, 17:35:16 || Estimated Time: 2:37:00
2023-07-13 09:25:29,176 semantic_segmentation INFO: Iters: 47050/50000 || Lr: 0.001566 || Task Loss: 0.0808 || KD Loss: 0.0210|| 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, 17:35:49 || Estimated Time: 2:36:29
2023-07-13 09:26:01,754 semantic_segmentation INFO: Iters: 47060/50000 || Lr: 0.001562 || Task Loss: 0.0905 || KD Loss: 0.0225|| 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, 17:36:22 || Estimated Time: 2:35:57
2023-07-13 09:26:34,301 semantic_segmentation INFO: Iters: 47070/50000 || Lr: 0.001557 || Task Loss: 0.0918 || KD Loss: 0.0265|| 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, 17:36:54 || Estimated Time: 2:35:25
2023-07-13 09:27:06,787 semantic_segmentation INFO: Iters: 47080/50000 || Lr: 0.001552 || Task Loss: 0.0759 || KD Loss: 0.0183|| 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, 17:37:27 || Estimated Time: 2:34:53
2023-07-13 09:27:39,319 semantic_segmentation INFO: Iters: 47090/50000 || Lr: 0.001547 || Task Loss: 0.0927 || KD Loss: 0.0206|| 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, 17:37:59 || Estimated Time: 2:34:21
2023-07-13 09:28:11,862 semantic_segmentation INFO: Iters: 47100/50000 || Lr: 0.001543 || Task Loss: 0.0904 || KD Loss: 0.0242|| 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, 17:38:32 || Estimated Time: 2:33:50
2023-07-13 09:28:44,400 semantic_segmentation INFO: Iters: 47110/50000 || Lr: 0.001538 || Task Loss: 0.0911 || KD Loss: 0.0246|| 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, 17:39:04 || Estimated Time: 2:33:18
2023-07-13 09:29:16,924 semantic_segmentation INFO: Iters: 47120/50000 || Lr: 0.001533 || Task Loss: 0.0925 || KD Loss: 0.0235|| 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, 17:39:37 || Estimated Time: 2:32:46
2023-07-13 09:29:49,349 semantic_segmentation INFO: Iters: 47130/50000 || Lr: 0.001528 || Task Loss: 0.0863 || KD Loss: 0.0238|| 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, 17:40:09 || Estimated Time: 2:32:14
2023-07-13 09:30:21,916 semantic_segmentation INFO: Iters: 47140/50000 || Lr: 0.001523 || Task Loss: 0.0804 || KD Loss: 0.0208|| 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, 17:40:42 || Estimated Time: 2:31:43
2023-07-13 09:30:54,422 semantic_segmentation INFO: Iters: 47150/50000 || Lr: 0.001519 || Task Loss: 0.1010 || KD Loss: 0.0208|| 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: 1 day, 17:41:14 || Estimated Time: 2:31:11
2023-07-13 09:31:26,941 semantic_segmentation INFO: Iters: 47160/50000 || Lr: 0.001514 || Task Loss: 0.0931 || KD Loss: 0.0237|| 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, 17:41:47 || Estimated Time: 2:30:39
2023-07-13 09:31:59,397 semantic_segmentation INFO: Iters: 47170/50000 || Lr: 0.001509 || Task Loss: 0.0932 || KD Loss: 0.0208|| 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, 17:42:19 || Estimated Time: 2:30:07
2023-07-13 09:32:31,904 semantic_segmentation INFO: Iters: 47180/50000 || Lr: 0.001504 || Task Loss: 0.0959 || KD Loss: 0.0221|| 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, 17:42:52 || Estimated Time: 2:29:35
2023-07-13 09:33:04,321 semantic_segmentation INFO: Iters: 47190/50000 || Lr: 0.001499 || Task Loss: 0.1031 || KD Loss: 0.0226|| 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, 17:43:24 || Estimated Time: 2:29:04
2023-07-13 09:33:36,797 semantic_segmentation INFO: Iters: 47200/50000 || Lr: 0.001495 || Task Loss: 0.0833 || KD Loss: 0.0203|| 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, 17:43:57 || Estimated Time: 2:28:32
2023-07-13 09:33:36,958 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 09:33:37,156 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.743
2023-07-13 09:33:37,179 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.744
2023-07-13 09:33:37,191 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.745
2023-07-13 09:33:37,203 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.963, mIoU: 0.741
2023-07-13 09:33:37,215 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 09:33:37,228 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 09:33:37,241 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 09:33:37,253 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 09:33:37,265 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-13 09:33:37,278 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.736
2023-07-13 09:33:37,290 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.738
2023-07-13 09:33:37,302 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.736
2023-07-13 09:33:37,315 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.739
2023-07-13 09:33:37,327 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-13 09:33:37,339 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 09:33:37,352 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.745
2023-07-13 09:33:37,367 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 09:33:37,380 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-13 09:33:37,395 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 09:33:37,414 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 09:33:37,432 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 09:33:37,446 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 09:33:37,458 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 09:33:37,471 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 09:33:37,484 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.740
2023-07-13 09:33:37,498 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 09:33:37,511 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 09:33:37,524 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 09:33:37,538 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 09:33:37,552 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 09:33:37,565 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 09:33:37,578 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 09:33:37,596 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 09:33:37,614 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 09:33:37,627 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 09:33:37,646 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.742
2023-07-13 09:33:37,665 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 09:33:37,679 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 09:33:37,693 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.741
2023-07-13 09:33:37,706 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 09:33:37,719 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 09:33:37,733 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 09:33:37,746 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 09:33:37,760 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 09:33:37,773 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.745
2023-07-13 09:33:37,791 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 09:33:37,806 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 09:33:37,825 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-13 09:33:37,839 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 09:33:37,856 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-13 09:33:37,875 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-13 09:33:37,887 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.955, mIoU: 0.751
2023-07-13 09:33:37,901 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-13 09:33:37,916 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.752
2023-07-13 09:33:37,929 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 09:33:37,942 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.753
2023-07-13 09:33:37,955 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 09:33:37,968 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.754
2023-07-13 09:33:37,980 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-13 09:33:37,993 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 09:33:38,006 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.757
2023-07-13 09:33:38,019 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 09:33:38,034 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.758
2023-07-13 09:33:38,051 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.759
2023-07-13 09:33:38,067 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-13 09:33:38,081 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-13 09:33:38,101 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.761
2023-07-13 09:33:38,115 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-13 09:33:38,129 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-13 09:33:38,142 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.764
2023-07-13 09:33:38,156 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 09:33:38,169 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 09:33:38,183 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 09:33:38,196 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 09:33:38,210 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 09:33:38,227 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 09:33:38,241 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 09:33:38,261 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 09:33:38,280 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 09:33:38,296 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 09:33:38,309 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 09:33:38,322 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 09:33:38,335 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 09:33:38,347 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 09:33:38,359 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 09:33:38,372 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 09:33:38,384 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 09:33:38,396 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 09:33:38,411 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 09:33:38,423 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 09:33:38,435 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 09:33:38,450 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 09:33:38,463 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 09:33:38,482 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 09:33:38,498 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 09:33:38,512 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 09:33:38,524 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 09:33:38,537 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 09:33:38,550 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 09:33:38,562 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 09:33:38,575 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 09:34:11,210 semantic_segmentation INFO: Iters: 47210/50000 || Lr: 0.001490 || Task Loss: 0.1001 || KD Loss: 0.0218|| 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, 17:44:31 || Estimated Time: 2:28:00
2023-07-13 09:34:43,632 semantic_segmentation INFO: Iters: 47220/50000 || Lr: 0.001485 || Task Loss: 0.1026 || KD Loss: 0.0231|| 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, 17:45:03 || Estimated Time: 2:27:28
2023-07-13 09:35:16,197 semantic_segmentation INFO: Iters: 47230/50000 || Lr: 0.001480 || Task Loss: 0.0880 || KD Loss: 0.0209|| 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, 17:45:36 || Estimated Time: 2:26:57
2023-07-13 09:35:48,567 semantic_segmentation INFO: Iters: 47240/50000 || Lr: 0.001475 || Task Loss: 0.0833 || KD Loss: 0.0205|| 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, 17:46:08 || Estimated Time: 2:26:25
2023-07-13 09:36:21,084 semantic_segmentation INFO: Iters: 47250/50000 || Lr: 0.001471 || Task Loss: 0.0750 || KD Loss: 0.0197|| 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, 17:46:41 || Estimated Time: 2:25:53
2023-07-13 09:36:53,480 semantic_segmentation INFO: Iters: 47260/50000 || Lr: 0.001466 || Task Loss: 0.0911 || KD Loss: 0.0239|| 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, 17:47:13 || Estimated Time: 2:25:21
2023-07-13 09:37:25,914 semantic_segmentation INFO: Iters: 47270/50000 || Lr: 0.001461 || Task Loss: 0.0890 || KD Loss: 0.0272|| 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, 17:47:46 || Estimated Time: 2:24:49
2023-07-13 09:37:58,336 semantic_segmentation INFO: Iters: 47280/50000 || Lr: 0.001456 || Task Loss: 0.0889 || KD Loss: 0.0208|| 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, 17:48:18 || Estimated Time: 2:24:18
2023-07-13 09:38:30,772 semantic_segmentation INFO: Iters: 47290/50000 || Lr: 0.001451 || Task Loss: 0.0905 || KD Loss: 0.0227|| 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, 17:48:51 || Estimated Time: 2:23:46
2023-07-13 09:39:03,268 semantic_segmentation INFO: Iters: 47300/50000 || Lr: 0.001447 || Task Loss: 0.0884 || KD Loss: 0.0206|| 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, 17:49:23 || Estimated Time: 2:23:14
2023-07-13 09:39:35,631 semantic_segmentation INFO: Iters: 47310/50000 || Lr: 0.001442 || Task Loss: 0.1055 || KD Loss: 0.0250|| 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, 17:49:55 || Estimated Time: 2:22:42
2023-07-13 09:40:07,989 semantic_segmentation INFO: Iters: 47320/50000 || Lr: 0.001437 || Task Loss: 0.0913 || KD Loss: 0.0231|| 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, 17:50:28 || Estimated Time: 2:22:10
2023-07-13 09:40:40,387 semantic_segmentation INFO: Iters: 47330/50000 || Lr: 0.001432 || Task Loss: 0.1014 || KD Loss: 0.0228|| 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, 17:51:00 || Estimated Time: 2:21:39
2023-07-13 09:41:12,861 semantic_segmentation INFO: Iters: 47340/50000 || Lr: 0.001427 || Task Loss: 0.0926 || KD Loss: 0.0208|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0759|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:51:33 || Estimated Time: 2:21:07
2023-07-13 09:41:45,257 semantic_segmentation INFO: Iters: 47350/50000 || Lr: 0.001422 || Task Loss: 0.0895 || KD Loss: 0.0196|| 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, 17:52:05 || Estimated Time: 2:20:35
2023-07-13 09:42:17,653 semantic_segmentation INFO: Iters: 47360/50000 || Lr: 0.001418 || Task Loss: 0.1018 || KD Loss: 0.0210|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0732|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 17:52:37 || Estimated Time: 2:20:03
2023-07-13 09:42:50,039 semantic_segmentation INFO: Iters: 47370/50000 || Lr: 0.001413 || Task Loss: 0.0863 || KD Loss: 0.0241|| 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, 17:53:10 || Estimated Time: 2:19:31
2023-07-13 09:43:22,489 semantic_segmentation INFO: Iters: 47380/50000 || Lr: 0.001408 || Task Loss: 0.0984 || KD Loss: 0.0228|| 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, 17:53:42 || Estimated Time: 2:19:00
2023-07-13 09:43:54,912 semantic_segmentation INFO: Iters: 47390/50000 || Lr: 0.001403 || Task Loss: 0.0755 || KD Loss: 0.0215|| 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, 17:54:15 || Estimated Time: 2:18:28
2023-07-13 09:44:27,322 semantic_segmentation INFO: Iters: 47400/50000 || Lr: 0.001398 || Task Loss: 0.0986 || KD Loss: 0.0242|| 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, 17:54:47 || Estimated Time: 2:17:56
2023-07-13 09:44:59,750 semantic_segmentation INFO: Iters: 47410/50000 || Lr: 0.001393 || Task Loss: 0.0745 || KD Loss: 0.0219|| 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, 17:55:20 || Estimated Time: 2:17:24
2023-07-13 09:45:32,193 semantic_segmentation INFO: Iters: 47420/50000 || Lr: 0.001389 || Task Loss: 0.0761 || KD Loss: 0.0231|| 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, 17:55:52 || Estimated Time: 2:16:52
2023-07-13 09:46:04,599 semantic_segmentation INFO: Iters: 47430/50000 || Lr: 0.001384 || Task Loss: 0.1044 || KD Loss: 0.0250|| 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, 17:56:24 || Estimated Time: 2:16:21
2023-07-13 09:46:37,056 semantic_segmentation INFO: Iters: 47440/50000 || Lr: 0.001379 || Task Loss: 0.0896 || KD Loss: 0.0229|| 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, 17:56:57 || Estimated Time: 2:15:49
2023-07-13 09:47:09,491 semantic_segmentation INFO: Iters: 47450/50000 || Lr: 0.001374 || Task Loss: 0.1015 || KD Loss: 0.0223|| 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, 17:57:29 || Estimated Time: 2:15:17
2023-07-13 09:47:41,891 semantic_segmentation INFO: Iters: 47460/50000 || Lr: 0.001369 || Task Loss: 0.0805 || KD Loss: 0.0241|| 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, 17:58:02 || Estimated Time: 2:14:45
2023-07-13 09:48:14,314 semantic_segmentation INFO: Iters: 47470/50000 || Lr: 0.001364 || Task Loss: 0.0887 || KD Loss: 0.0235|| 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, 17:58:34 || Estimated Time: 2:14:13
2023-07-13 09:48:46,769 semantic_segmentation INFO: Iters: 47480/50000 || Lr: 0.001359 || Task Loss: 0.0868 || KD Loss: 0.0225|| 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, 17:59:07 || Estimated Time: 2:13:42
2023-07-13 09:49:19,161 semantic_segmentation INFO: Iters: 47490/50000 || Lr: 0.001355 || Task Loss: 0.0876 || KD Loss: 0.0240|| 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, 17:59:39 || Estimated Time: 2:13:10
2023-07-13 09:49:51,695 semantic_segmentation INFO: Iters: 47500/50000 || Lr: 0.001350 || Task Loss: 0.0795 || KD Loss: 0.0211|| 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, 18:00:11 || Estimated Time: 2:12:38
2023-07-13 09:50:24,091 semantic_segmentation INFO: Iters: 47510/50000 || Lr: 0.001345 || Task Loss: 0.0930 || KD Loss: 0.0243|| 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, 18:00:44 || Estimated Time: 2:12:06
2023-07-13 09:50:56,612 semantic_segmentation INFO: Iters: 47520/50000 || Lr: 0.001340 || Task Loss: 0.0875 || KD Loss: 0.0219|| 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, 18:01:16 || Estimated Time: 2:11:34
2023-07-13 09:51:29,113 semantic_segmentation INFO: Iters: 47530/50000 || Lr: 0.001335 || Task Loss: 0.0724 || KD Loss: 0.0266|| 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, 18:01:49 || Estimated Time: 2:11:03
2023-07-13 09:52:01,519 semantic_segmentation INFO: Iters: 47540/50000 || Lr: 0.001330 || Task Loss: 0.0858 || KD Loss: 0.0189|| 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, 18:02:21 || Estimated Time: 2:10:31
2023-07-13 09:52:33,913 semantic_segmentation INFO: Iters: 47550/50000 || Lr: 0.001325 || Task Loss: 0.0961 || KD Loss: 0.0249|| 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, 18:02:54 || Estimated Time: 2:09:59
2023-07-13 09:53:06,447 semantic_segmentation INFO: Iters: 47560/50000 || Lr: 0.001321 || Task Loss: 0.0928 || KD Loss: 0.0233|| 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, 18:03:26 || Estimated Time: 2:09:27
2023-07-13 09:53:38,846 semantic_segmentation INFO: Iters: 47570/50000 || Lr: 0.001316 || Task Loss: 0.0959 || KD Loss: 0.0241|| 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, 18:03:59 || Estimated Time: 2:08:55
2023-07-13 09:54:11,365 semantic_segmentation INFO: Iters: 47580/50000 || Lr: 0.001311 || Task Loss: 0.0722 || KD Loss: 0.0175|| 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, 18:04:31 || Estimated Time: 2:08:24
2023-07-13 09:54:43,801 semantic_segmentation INFO: Iters: 47590/50000 || Lr: 0.001306 || Task Loss: 0.0867 || KD Loss: 0.0200|| 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, 18:05:04 || Estimated Time: 2:07:52
2023-07-13 09:55:16,274 semantic_segmentation INFO: Iters: 47600/50000 || Lr: 0.001301 || Task Loss: 0.0812 || KD Loss: 0.0207|| 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, 18:05:36 || Estimated Time: 2:07:20
2023-07-13 09:55:48,697 semantic_segmentation INFO: Iters: 47610/50000 || Lr: 0.001296 || Task Loss: 0.0796 || KD Loss: 0.0218|| 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, 18:06:08 || Estimated Time: 2:06:48
2023-07-13 09:56:21,223 semantic_segmentation INFO: Iters: 47620/50000 || Lr: 0.001291 || Task Loss: 0.0810 || KD Loss: 0.0191|| 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, 18:06:41 || Estimated Time: 2:06:16
2023-07-13 09:56:53,739 semantic_segmentation INFO: Iters: 47630/50000 || Lr: 0.001286 || Task Loss: 0.1015 || KD Loss: 0.0214|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0712|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:07:13 || Estimated Time: 2:05:45
2023-07-13 09:57:26,153 semantic_segmentation INFO: Iters: 47640/50000 || Lr: 0.001282 || Task Loss: 0.0938 || KD Loss: 0.0233|| 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, 18:07:46 || Estimated Time: 2:05:13
2023-07-13 09:57:58,548 semantic_segmentation INFO: Iters: 47650/50000 || Lr: 0.001277 || Task Loss: 0.0932 || KD Loss: 0.0234|| 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, 18:08:18 || Estimated Time: 2:04:41
2023-07-13 09:58:31,060 semantic_segmentation INFO: Iters: 47660/50000 || Lr: 0.001272 || Task Loss: 0.0909 || KD Loss: 0.0273|| 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, 18:08:51 || Estimated Time: 2:04:09
2023-07-13 09:59:03,435 semantic_segmentation INFO: Iters: 47670/50000 || Lr: 0.001267 || Task Loss: 0.0848 || KD Loss: 0.0239|| 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, 18:09:23 || Estimated Time: 2:03:37
2023-07-13 09:59:35,834 semantic_segmentation INFO: Iters: 47680/50000 || Lr: 0.001262 || Task Loss: 0.1078 || KD Loss: 0.0246|| 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, 18:09:56 || Estimated Time: 2:03:05
2023-07-13 10:00:08,321 semantic_segmentation INFO: Iters: 47690/50000 || Lr: 0.001257 || Task Loss: 0.0883 || KD Loss: 0.0239|| 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, 18:10:28 || Estimated Time: 2:02:34
2023-07-13 10:00:40,683 semantic_segmentation INFO: Iters: 47700/50000 || Lr: 0.001252 || Task Loss: 0.0866 || KD Loss: 0.0215|| 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, 18:11:00 || Estimated Time: 2:02:02
2023-07-13 10:01:13,074 semantic_segmentation INFO: Iters: 47710/50000 || Lr: 0.001247 || Task Loss: 0.0917 || KD Loss: 0.0242|| 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, 18:11:33 || Estimated Time: 2:01:30
2023-07-13 10:01:45,449 semantic_segmentation INFO: Iters: 47720/50000 || Lr: 0.001242 || Task Loss: 0.0868 || KD Loss: 0.0229|| 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, 18:12:05 || Estimated Time: 2:00:58
2023-07-13 10:02:17,818 semantic_segmentation INFO: Iters: 47730/50000 || Lr: 0.001238 || Task Loss: 0.0929 || KD Loss: 0.0252|| 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, 18:12:38 || Estimated Time: 2:00:26
2023-07-13 10:02:50,199 semantic_segmentation INFO: Iters: 47740/50000 || Lr: 0.001233 || Task Loss: 0.0944 || KD Loss: 0.0218|| 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, 18:13:10 || Estimated Time: 1:59:55
2023-07-13 10:03:22,605 semantic_segmentation INFO: Iters: 47750/50000 || Lr: 0.001228 || Task Loss: 0.1014 || KD Loss: 0.0216|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0739|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:13:42 || Estimated Time: 1:59:23
2023-07-13 10:03:55,034 semantic_segmentation INFO: Iters: 47760/50000 || Lr: 0.001223 || Task Loss: 0.1044 || KD Loss: 0.0219|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0768|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:14:15 || Estimated Time: 1:58:51
2023-07-13 10:04:27,434 semantic_segmentation INFO: Iters: 47770/50000 || Lr: 0.001218 || Task Loss: 0.0916 || KD Loss: 0.0209|| 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, 18:14:47 || Estimated Time: 1:58:19
2023-07-13 10:04:59,979 semantic_segmentation INFO: Iters: 47780/50000 || Lr: 0.001213 || Task Loss: 0.0837 || KD Loss: 0.0202|| 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, 18:15:20 || Estimated Time: 1:57:47
2023-07-13 10:05:32,358 semantic_segmentation INFO: Iters: 47790/50000 || Lr: 0.001208 || Task Loss: 0.0967 || KD Loss: 0.0228|| 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, 18:15:52 || Estimated Time: 1:57:16
2023-07-13 10:06:04,833 semantic_segmentation INFO: Iters: 47800/50000 || Lr: 0.001203 || Task Loss: 0.0855 || KD Loss: 0.0201|| 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, 18:16:25 || Estimated Time: 1:56:44
2023-07-13 10:06:37,211 semantic_segmentation INFO: Iters: 47810/50000 || Lr: 0.001198 || Task Loss: 0.0931 || KD Loss: 0.0252|| 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, 18:16:57 || Estimated Time: 1:56:12
2023-07-13 10:07:09,608 semantic_segmentation INFO: Iters: 47820/50000 || Lr: 0.001193 || Task Loss: 0.0993 || KD Loss: 0.0223|| 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, 18:17:29 || Estimated Time: 1:55:40
2023-07-13 10:07:41,992 semantic_segmentation INFO: Iters: 47830/50000 || Lr: 0.001188 || Task Loss: 0.0856 || KD Loss: 0.0254|| 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, 18:18:02 || Estimated Time: 1:55:08
2023-07-13 10:08:14,471 semantic_segmentation INFO: Iters: 47840/50000 || Lr: 0.001183 || Task Loss: 0.0921 || KD Loss: 0.0234|| 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, 18:18:34 || Estimated Time: 1:54:37
2023-07-13 10:08:46,825 semantic_segmentation INFO: Iters: 47850/50000 || Lr: 0.001179 || Task Loss: 0.0841 || KD Loss: 0.0204|| 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, 18:19:07 || Estimated Time: 1:54:05
2023-07-13 10:09:19,218 semantic_segmentation INFO: Iters: 47860/50000 || Lr: 0.001174 || Task Loss: 0.0782 || KD Loss: 0.0214|| 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, 18:19:39 || Estimated Time: 1:53:33
2023-07-13 10:09:51,672 semantic_segmentation INFO: Iters: 47870/50000 || Lr: 0.001169 || Task Loss: 0.0926 || KD Loss: 0.0209|| 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, 18:20:11 || Estimated Time: 1:53:01
2023-07-13 10:10:24,058 semantic_segmentation INFO: Iters: 47880/50000 || Lr: 0.001164 || Task Loss: 0.0969 || KD Loss: 0.0258|| 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, 18:20:44 || Estimated Time: 1:52:29
2023-07-13 10:10:56,503 semantic_segmentation INFO: Iters: 47890/50000 || Lr: 0.001159 || Task Loss: 0.0631 || KD Loss: 0.0223|| 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, 18:21:16 || Estimated Time: 1:51:57
2023-07-13 10:11:28,917 semantic_segmentation INFO: Iters: 47900/50000 || Lr: 0.001154 || Task Loss: 0.0704 || KD Loss: 0.0224|| 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, 18:21:49 || Estimated Time: 1:51:26
2023-07-13 10:12:01,317 semantic_segmentation INFO: Iters: 47910/50000 || Lr: 0.001149 || Task Loss: 0.0946 || KD Loss: 0.0236|| 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, 18:22:21 || Estimated Time: 1:50:54
2023-07-13 10:12:33,698 semantic_segmentation INFO: Iters: 47920/50000 || Lr: 0.001144 || Task Loss: 0.0913 || KD Loss: 0.0247|| 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, 18:22:53 || Estimated Time: 1:50:22
2023-07-13 10:13:06,130 semantic_segmentation INFO: Iters: 47930/50000 || Lr: 0.001139 || Task Loss: 0.1019 || KD Loss: 0.0236|| 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, 18:23:26 || Estimated Time: 1:49:50
2023-07-13 10:13:38,486 semantic_segmentation INFO: Iters: 47940/50000 || Lr: 0.001134 || Task Loss: 0.0774 || KD Loss: 0.0215|| 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, 18:23:58 || Estimated Time: 1:49:18
2023-07-13 10:14:10,882 semantic_segmentation INFO: Iters: 47950/50000 || Lr: 0.001129 || Task Loss: 0.0791 || KD Loss: 0.0213|| 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, 18:24:31 || Estimated Time: 1:48:47
2023-07-13 10:14:43,246 semantic_segmentation INFO: Iters: 47960/50000 || Lr: 0.001124 || Task Loss: 0.0839 || KD Loss: 0.0206|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0792|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:25:03 || Estimated Time: 1:48:15
2023-07-13 10:15:15,637 semantic_segmentation INFO: Iters: 47970/50000 || Lr: 0.001119 || Task Loss: 0.1007 || KD Loss: 0.0218|| 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, 18:25:35 || Estimated Time: 1:47:43
2023-07-13 10:15:48,061 semantic_segmentation INFO: Iters: 47980/50000 || Lr: 0.001114 || Task Loss: 0.0968 || KD Loss: 0.0216|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0790|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:26:08 || Estimated Time: 1:47:11
2023-07-13 10:16:20,477 semantic_segmentation INFO: Iters: 47990/50000 || Lr: 0.001109 || Task Loss: 0.1008 || KD Loss: 0.0218|| 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, 18:26:40 || Estimated Time: 1:46:39
2023-07-13 10:16:52,881 semantic_segmentation INFO: Iters: 48000/50000 || Lr: 0.001104 || Task Loss: 0.1031 || KD Loss: 0.0206|| 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, 18:27:13 || Estimated Time: 1:46:08
2023-07-13 10:16:52,974 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 10:16:53,170 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.744
2023-07-13 10:16:53,196 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.744
2023-07-13 10:16:53,209 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.746
2023-07-13 10:16:53,221 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-13 10:16:53,233 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.737
2023-07-13 10:16:53,246 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 10:16:53,258 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 10:16:53,270 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 10:16:53,283 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 10:16:53,295 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-13 10:16:53,307 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.739
2023-07-13 10:16:53,320 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.737
2023-07-13 10:16:53,332 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 10:16:53,344 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-13 10:16:53,356 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 10:16:53,369 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 10:16:53,384 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.747
2023-07-13 10:16:53,400 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.748
2023-07-13 10:16:53,417 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 10:16:53,434 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 10:16:53,448 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 10:16:53,461 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 10:16:53,478 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 10:16:53,491 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 10:16:53,503 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 10:16:53,515 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 10:16:53,528 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 10:16:53,540 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 10:16:53,553 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 10:16:53,566 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 10:16:53,579 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 10:16:53,592 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 10:16:53,607 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 10:16:53,621 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 10:16:53,634 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 10:16:53,652 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-13 10:16:53,670 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 10:16:53,683 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 10:16:53,695 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 10:16:53,708 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 10:16:53,726 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 10:16:53,740 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 10:16:53,753 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 10:16:53,766 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 10:16:53,779 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 10:16:53,792 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 10:16:53,811 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-13 10:16:53,825 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.751
2023-07-13 10:16:53,844 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.751
2023-07-13 10:16:53,861 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-13 10:16:53,875 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-13 10:16:53,892 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-13 10:16:53,906 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 10:16:53,918 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 10:16:53,931 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 10:16:53,944 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-13 10:16:53,957 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 10:16:53,971 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-13 10:16:53,984 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 10:16:53,997 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 10:16:54,016 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.759
2023-07-13 10:16:54,030 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 10:16:54,049 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 10:16:54,067 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 10:16:54,080 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 10:16:54,097 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 10:16:54,110 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-13 10:16:54,123 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-13 10:16:54,137 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-13 10:16:54,149 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 10:16:54,162 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 10:16:54,178 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-13 10:16:54,191 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-13 10:16:54,204 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 10:16:54,217 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 10:16:54,233 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 10:16:54,246 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 10:16:54,265 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 10:16:54,284 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 10:16:54,301 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 10:16:54,314 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 10:16:54,327 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 10:16:54,340 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 10:16:54,353 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 10:16:54,366 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 10:16:54,379 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 10:16:54,391 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 10:16:54,404 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 10:16:54,417 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 10:16:54,430 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 10:16:54,449 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 10:16:54,467 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 10:16:54,482 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 10:16:54,496 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 10:16:54,515 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 10:16:54,528 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 10:16:54,542 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 10:16:54,554 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.763
2023-07-13 10:16:54,567 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 10:16:54,579 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 10:16:54,592 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.763
2023-07-13 10:17:27,133 semantic_segmentation INFO: Iters: 48010/50000 || Lr: 0.001099 || Task Loss: 0.0946 || KD Loss: 0.0213|| 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, 18:27:47 || Estimated Time: 1:45:36
2023-07-13 10:17:59,555 semantic_segmentation INFO: Iters: 48020/50000 || Lr: 0.001094 || Task Loss: 0.1057 || KD Loss: 0.0213|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0744|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:28:19 || Estimated Time: 1:45:04
2023-07-13 10:18:32,033 semantic_segmentation INFO: Iters: 48030/50000 || Lr: 0.001089 || Task Loss: 0.0779 || KD Loss: 0.0222|| 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, 18:28:52 || Estimated Time: 1:44:32
2023-07-13 10:19:04,546 semantic_segmentation INFO: Iters: 48040/50000 || Lr: 0.001084 || Task Loss: 0.0834 || KD Loss: 0.0235|| 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, 18:29:24 || Estimated Time: 1:44:00
2023-07-13 10:19:36,936 semantic_segmentation INFO: Iters: 48050/50000 || Lr: 0.001079 || Task Loss: 0.0934 || KD Loss: 0.0283|| 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, 18:29:57 || Estimated Time: 1:43:28
2023-07-13 10:20:09,344 semantic_segmentation INFO: Iters: 48060/50000 || Lr: 0.001074 || Task Loss: 0.0988 || KD Loss: 0.0235|| 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, 18:30:29 || Estimated Time: 1:42:57
2023-07-13 10:20:41,757 semantic_segmentation INFO: Iters: 48070/50000 || Lr: 0.001069 || Task Loss: 0.0876 || KD Loss: 0.0225|| 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, 18:31:02 || Estimated Time: 1:42:25
2023-07-13 10:21:14,219 semantic_segmentation INFO: Iters: 48080/50000 || Lr: 0.001064 || Task Loss: 0.0948 || KD Loss: 0.0199|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0776|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:31:34 || Estimated Time: 1:41:53
2023-07-13 10:21:46,559 semantic_segmentation INFO: Iters: 48090/50000 || Lr: 0.001059 || Task Loss: 0.0805 || KD Loss: 0.0213|| 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, 18:32:06 || Estimated Time: 1:41:21
2023-07-13 10:22:18,997 semantic_segmentation INFO: Iters: 48100/50000 || Lr: 0.001054 || Task Loss: 0.0885 || KD Loss: 0.0201|| 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, 18:32:39 || Estimated Time: 1:40:49
2023-07-13 10:22:51,331 semantic_segmentation INFO: Iters: 48110/50000 || Lr: 0.001049 || Task Loss: 0.0926 || KD Loss: 0.0231|| 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, 18:33:11 || Estimated Time: 1:40:18
2023-07-13 10:23:23,678 semantic_segmentation INFO: Iters: 48120/50000 || Lr: 0.001044 || Task Loss: 0.0876 || KD Loss: 0.0215|| 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, 18:33:43 || Estimated Time: 1:39:46
2023-07-13 10:23:56,066 semantic_segmentation INFO: Iters: 48130/50000 || Lr: 0.001039 || Task Loss: 0.0858 || KD Loss: 0.0222|| 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, 18:34:16 || Estimated Time: 1:39:14
2023-07-13 10:24:28,534 semantic_segmentation INFO: Iters: 48140/50000 || Lr: 0.001034 || Task Loss: 0.1035 || KD Loss: 0.0250|| 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, 18:34:48 || Estimated Time: 1:38:42
2023-07-13 10:25:00,943 semantic_segmentation INFO: Iters: 48150/50000 || Lr: 0.001029 || Task Loss: 0.0876 || KD Loss: 0.0223|| 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, 18:35:21 || Estimated Time: 1:38:10
2023-07-13 10:25:33,282 semantic_segmentation INFO: Iters: 48160/50000 || Lr: 0.001024 || Task Loss: 0.0780 || KD Loss: 0.0187|| 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, 18:35:53 || Estimated Time: 1:37:38
2023-07-13 10:26:05,658 semantic_segmentation INFO: Iters: 48170/50000 || Lr: 0.001019 || Task Loss: 0.0865 || 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: 1 day, 18:36:25 || Estimated Time: 1:37:07
2023-07-13 10:26:38,022 semantic_segmentation INFO: Iters: 48180/50000 || Lr: 0.001014 || Task Loss: 0.0879 || KD Loss: 0.0186|| 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, 18:36:58 || Estimated Time: 1:36:35
2023-07-13 10:27:10,364 semantic_segmentation INFO: Iters: 48190/50000 || Lr: 0.001009 || Task Loss: 0.0831 || KD Loss: 0.0203|| 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, 18:37:30 || Estimated Time: 1:36:03
2023-07-13 10:27:42,712 semantic_segmentation INFO: Iters: 48200/50000 || Lr: 0.001004 || Task Loss: 0.0909 || KD Loss: 0.0258|| 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, 18:38:02 || Estimated Time: 1:35:31
2023-07-13 10:28:15,000 semantic_segmentation INFO: Iters: 48210/50000 || Lr: 0.000999 || Task Loss: 0.1045 || KD Loss: 0.0248|| 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, 18:38:35 || Estimated Time: 1:34:59
2023-07-13 10:28:47,251 semantic_segmentation INFO: Iters: 48220/50000 || Lr: 0.000994 || Task Loss: 0.0879 || KD Loss: 0.0230|| 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, 18:39:07 || Estimated Time: 1:34:28
2023-07-13 10:29:19,637 semantic_segmentation INFO: Iters: 48230/50000 || Lr: 0.000989 || Task Loss: 0.0997 || KD Loss: 0.0227|| 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, 18:39:39 || Estimated Time: 1:33:56
2023-07-13 10:29:52,001 semantic_segmentation INFO: Iters: 48240/50000 || Lr: 0.000984 || Task Loss: 0.1034 || KD Loss: 0.0224|| 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, 18:40:12 || Estimated Time: 1:33:24
2023-07-13 10:30:24,414 semantic_segmentation INFO: Iters: 48250/50000 || Lr: 0.000979 || Task Loss: 0.0923 || KD Loss: 0.0232|| 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, 18:40:44 || Estimated Time: 1:32:52
2023-07-13 10:30:56,777 semantic_segmentation INFO: Iters: 48260/50000 || Lr: 0.000974 || Task Loss: 0.0920 || KD Loss: 0.0243|| 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, 18:41:17 || Estimated Time: 1:32:20
2023-07-13 10:31:29,220 semantic_segmentation INFO: Iters: 48270/50000 || Lr: 0.000969 || Task Loss: 0.0817 || KD Loss: 0.0195|| 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, 18:41:49 || Estimated Time: 1:31:48
2023-07-13 10:32:01,425 semantic_segmentation INFO: Iters: 48280/50000 || Lr: 0.000964 || Task Loss: 0.0851 || KD Loss: 0.0211|| 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, 18:42:21 || Estimated Time: 1:31:17
2023-07-13 10:32:33,846 semantic_segmentation INFO: Iters: 48290/50000 || Lr: 0.000959 || Task Loss: 0.1001 || KD Loss: 0.0228|| 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, 18:42:54 || Estimated Time: 1:30:45
2023-07-13 10:33:06,199 semantic_segmentation INFO: Iters: 48300/50000 || Lr: 0.000954 || Task Loss: 0.0934 || KD Loss: 0.0232|| 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, 18:43:26 || Estimated Time: 1:30:13
2023-07-13 10:33:38,521 semantic_segmentation INFO: Iters: 48310/50000 || Lr: 0.000949 || Task Loss: 0.0906 || KD Loss: 0.0212|| 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, 18:43:58 || Estimated Time: 1:29:41
2023-07-13 10:34:10,864 semantic_segmentation INFO: Iters: 48320/50000 || Lr: 0.000944 || Task Loss: 0.0909 || KD Loss: 0.0200|| 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, 18:44:31 || Estimated Time: 1:29:09
2023-07-13 10:34:43,320 semantic_segmentation INFO: Iters: 48330/50000 || Lr: 0.000939 || Task Loss: 0.0976 || KD Loss: 0.0225|| 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, 18:45:03 || Estimated Time: 1:28:37
2023-07-13 10:35:15,712 semantic_segmentation INFO: Iters: 48340/50000 || Lr: 0.000934 || Task Loss: 0.0989 || KD Loss: 0.0216|| 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, 18:45:35 || Estimated Time: 1:28:06
2023-07-13 10:35:47,935 semantic_segmentation INFO: Iters: 48350/50000 || Lr: 0.000929 || Task Loss: 0.0931 || KD Loss: 0.0229|| 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, 18:46:08 || Estimated Time: 1:27:34
2023-07-13 10:36:20,316 semantic_segmentation INFO: Iters: 48360/50000 || Lr: 0.000924 || Task Loss: 0.0786 || KD Loss: 0.0216|| 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, 18:46:40 || Estimated Time: 1:27:02
2023-07-13 10:36:52,667 semantic_segmentation INFO: Iters: 48370/50000 || Lr: 0.000919 || Task Loss: 0.0990 || 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, 18:47:12 || Estimated Time: 1:26:30
2023-07-13 10:37:25,129 semantic_segmentation INFO: Iters: 48380/50000 || Lr: 0.000914 || Task Loss: 0.1023 || KD Loss: 0.0265|| 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, 18:47:45 || Estimated Time: 1:25:58
2023-07-13 10:37:57,375 semantic_segmentation INFO: Iters: 48390/50000 || Lr: 0.000909 || Task Loss: 0.0995 || KD Loss: 0.0196|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0763|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:48:17 || Estimated Time: 1:25:26
2023-07-13 10:38:29,741 semantic_segmentation INFO: Iters: 48400/50000 || Lr: 0.000903 || Task Loss: 0.0881 || KD Loss: 0.0204|| 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, 18:48:50 || Estimated Time: 1:24:55
2023-07-13 10:39:02,083 semantic_segmentation INFO: Iters: 48410/50000 || Lr: 0.000898 || Task Loss: 0.0830 || KD Loss: 0.0215|| 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, 18:49:22 || Estimated Time: 1:24:23
2023-07-13 10:39:34,800 semantic_segmentation INFO: Iters: 48420/50000 || Lr: 0.000893 || Task Loss: 0.1008 || KD Loss: 0.0221|| 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, 18:49:55 || Estimated Time: 1:23:51
2023-07-13 10:40:07,163 semantic_segmentation INFO: Iters: 48430/50000 || Lr: 0.000888 || Task Loss: 0.0862 || KD Loss: 0.0226|| 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, 18:50:27 || Estimated Time: 1:23:19
2023-07-13 10:40:39,564 semantic_segmentation INFO: Iters: 48440/50000 || Lr: 0.000883 || Task Loss: 0.0847 || KD Loss: 0.0217|| 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, 18:50:59 || Estimated Time: 1:22:47
2023-07-13 10:41:11,890 semantic_segmentation INFO: Iters: 48450/50000 || Lr: 0.000878 || Task Loss: 0.0865 || KD Loss: 0.0220|| 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, 18:51:32 || Estimated Time: 1:22:16
2023-07-13 10:41:44,230 semantic_segmentation INFO: Iters: 48460/50000 || Lr: 0.000873 || Task Loss: 0.0977 || KD Loss: 0.0238|| 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, 18:52:04 || Estimated Time: 1:21:44
2023-07-13 10:42:16,636 semantic_segmentation INFO: Iters: 48470/50000 || Lr: 0.000868 || Task Loss: 0.0880 || KD Loss: 0.0222|| 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, 18:52:36 || Estimated Time: 1:21:12
2023-07-13 10:42:48,952 semantic_segmentation INFO: Iters: 48480/50000 || Lr: 0.000863 || Task Loss: 0.0980 || KD Loss: 0.0213|| 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, 18:53:09 || Estimated Time: 1:20:40
2023-07-13 10:43:21,271 semantic_segmentation INFO: Iters: 48490/50000 || Lr: 0.000858 || Task Loss: 0.0938 || KD Loss: 0.0216|| 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, 18:53:41 || Estimated Time: 1:20:08
2023-07-13 10:43:53,623 semantic_segmentation INFO: Iters: 48500/50000 || Lr: 0.000853 || Task Loss: 0.0867 || KD Loss: 0.0230|| 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, 18:54:13 || Estimated Time: 1:19:36
2023-07-13 10:44:25,978 semantic_segmentation INFO: Iters: 48510/50000 || Lr: 0.000847 || Task Loss: 0.0856 || KD Loss: 0.0212|| 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, 18:54:46 || Estimated Time: 1:19:05
2023-07-13 10:44:58,330 semantic_segmentation INFO: Iters: 48520/50000 || Lr: 0.000842 || Task Loss: 0.0904 || KD Loss: 0.0218|| 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, 18:55:18 || Estimated Time: 1:18:33
2023-07-13 10:45:30,699 semantic_segmentation INFO: Iters: 48530/50000 || Lr: 0.000837 || Task Loss: 0.1050 || KD Loss: 0.0216|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0757|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 18:55:50 || Estimated Time: 1:18:01
2023-07-13 10:46:03,109 semantic_segmentation INFO: Iters: 48540/50000 || Lr: 0.000832 || Task Loss: 0.0787 || 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, 18:56:23 || Estimated Time: 1:17:29
2023-07-13 10:46:35,438 semantic_segmentation INFO: Iters: 48550/50000 || Lr: 0.000827 || Task Loss: 0.0754 || KD Loss: 0.0186|| 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, 18:56:55 || Estimated Time: 1:16:57
2023-07-13 10:47:07,816 semantic_segmentation INFO: Iters: 48560/50000 || Lr: 0.000822 || Task Loss: 0.0871 || KD Loss: 0.0247|| 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, 18:57:28 || Estimated Time: 1:16:25
2023-07-13 10:47:40,216 semantic_segmentation INFO: Iters: 48570/50000 || Lr: 0.000817 || Task Loss: 0.0864 || KD Loss: 0.0208|| 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, 18:58:00 || Estimated Time: 1:15:54
2023-07-13 10:48:12,589 semantic_segmentation INFO: Iters: 48580/50000 || Lr: 0.000812 || Task Loss: 0.0807 || KD Loss: 0.0211|| 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, 18:58:32 || Estimated Time: 1:15:22
2023-07-13 10:48:44,920 semantic_segmentation INFO: Iters: 48590/50000 || Lr: 0.000806 || Task Loss: 0.0914 || KD Loss: 0.0216|| 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, 18:59:05 || Estimated Time: 1:14:50
2023-07-13 10:49:17,365 semantic_segmentation INFO: Iters: 48600/50000 || Lr: 0.000801 || Task Loss: 0.0861 || KD Loss: 0.0243|| 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, 18:59:37 || Estimated Time: 1:14:18
2023-07-13 10:49:49,740 semantic_segmentation INFO: Iters: 48610/50000 || Lr: 0.000796 || Task Loss: 0.0949 || KD Loss: 0.0215|| 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, 19:00:10 || Estimated Time: 1:13:46
2023-07-13 10:50:22,030 semantic_segmentation INFO: Iters: 48620/50000 || Lr: 0.000791 || Task Loss: 0.0830 || KD Loss: 0.0228|| 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, 19:00:42 || Estimated Time: 1:13:14
2023-07-13 10:50:54,503 semantic_segmentation INFO: Iters: 48630/50000 || Lr: 0.000786 || Task Loss: 0.0740 || KD Loss: 0.0202|| 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, 19:01:14 || Estimated Time: 1:12:43
2023-07-13 10:51:26,870 semantic_segmentation INFO: Iters: 48640/50000 || Lr: 0.000781 || Task Loss: 0.0890 || KD Loss: 0.0211|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0772|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:01:47 || Estimated Time: 1:12:11
2023-07-13 10:51:59,241 semantic_segmentation INFO: Iters: 48650/50000 || Lr: 0.000775 || Task Loss: 0.0922 || KD Loss: 0.0250|| 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, 19:02:19 || Estimated Time: 1:11:39
2023-07-13 10:52:31,649 semantic_segmentation INFO: Iters: 48660/50000 || Lr: 0.000770 || Task Loss: 0.0919 || KD Loss: 0.0227|| 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, 19:02:51 || Estimated Time: 1:11:07
2023-07-13 10:53:04,056 semantic_segmentation INFO: Iters: 48670/50000 || Lr: 0.000765 || Task Loss: 0.0758 || KD Loss: 0.0209|| 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, 19:03:24 || Estimated Time: 1:10:35
2023-07-13 10:53:36,385 semantic_segmentation INFO: Iters: 48680/50000 || Lr: 0.000760 || Task Loss: 0.0920 || KD Loss: 0.0224|| 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, 19:03:56 || Estimated Time: 1:10:03
2023-07-13 10:54:08,844 semantic_segmentation INFO: Iters: 48690/50000 || Lr: 0.000755 || Task Loss: 0.1033 || KD Loss: 0.0234|| 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, 19:04:29 || Estimated Time: 1:09:32
2023-07-13 10:54:41,258 semantic_segmentation INFO: Iters: 48700/50000 || Lr: 0.000750 || Task Loss: 0.0858 || KD Loss: 0.0204|| 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, 19:05:01 || Estimated Time: 1:09:00
2023-07-13 10:55:13,647 semantic_segmentation INFO: Iters: 48710/50000 || Lr: 0.000744 || Task Loss: 0.0949 || KD Loss: 0.0246|| 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, 19:05:33 || Estimated Time: 1:08:28
2023-07-13 10:55:45,997 semantic_segmentation INFO: Iters: 48720/50000 || Lr: 0.000739 || Task Loss: 0.0852 || KD Loss: 0.0244|| 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, 19:06:06 || Estimated Time: 1:07:56
2023-07-13 10:56:18,347 semantic_segmentation INFO: Iters: 48730/50000 || Lr: 0.000734 || Task Loss: 0.0909 || KD Loss: 0.0233|| 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, 19:06:38 || Estimated Time: 1:07:24
2023-07-13 10:56:50,796 semantic_segmentation INFO: Iters: 48740/50000 || Lr: 0.000729 || Task Loss: 0.0808 || 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, 19:07:11 || Estimated Time: 1:06:52
2023-07-13 10:57:23,662 semantic_segmentation INFO: Iters: 48750/50000 || Lr: 0.000724 || Task Loss: 0.0883 || KD Loss: 0.0243|| 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, 19:07:43 || Estimated Time: 1:06:21
2023-07-13 10:57:56,053 semantic_segmentation INFO: Iters: 48760/50000 || Lr: 0.000718 || Task Loss: 0.0922 || KD Loss: 0.0223|| 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, 19:08:16 || Estimated Time: 1:05:49
2023-07-13 10:58:28,471 semantic_segmentation INFO: Iters: 48770/50000 || Lr: 0.000713 || Task Loss: 0.0943 || KD Loss: 0.0193|| 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, 19:08:48 || Estimated Time: 1:05:17
2023-07-13 10:59:00,929 semantic_segmentation INFO: Iters: 48780/50000 || Lr: 0.000708 || Task Loss: 0.0997 || KD Loss: 0.0205|| 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, 19:09:21 || Estimated Time: 1:04:45
2023-07-13 10:59:33,327 semantic_segmentation INFO: Iters: 48790/50000 || Lr: 0.000703 || Task Loss: 0.0828 || KD Loss: 0.0227|| 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, 19:09:53 || Estimated Time: 1:04:13
2023-07-13 11:00:05,693 semantic_segmentation INFO: Iters: 48800/50000 || Lr: 0.000698 || Task Loss: 0.0847 || KD Loss: 0.0203|| 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, 19:10:25 || Estimated Time: 1:03:41
2023-07-13 11:00:05,888 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 11:00:06,087 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.965, mIoU: 0.744
2023-07-13 11:00:06,123 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.964, mIoU: 0.746
2023-07-13 11:00:06,135 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.748
2023-07-13 11:00:06,147 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.745
2023-07-13 11:00:06,159 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 11:00:06,171 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-13 11:00:06,183 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.964, mIoU: 0.742
2023-07-13 11:00:06,196 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.964, mIoU: 0.741
2023-07-13 11:00:06,208 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 11:00:06,220 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 11:00:06,232 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 11:00:06,244 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.738
2023-07-13 11:00:06,256 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 11:00:06,268 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.742
2023-07-13 11:00:06,280 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 11:00:06,292 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.962, mIoU: 0.746
2023-07-13 11:00:06,309 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.962, mIoU: 0.747
2023-07-13 11:00:06,326 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.962, mIoU: 0.748
2023-07-13 11:00:06,346 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-13 11:00:06,361 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 11:00:06,379 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 11:00:06,394 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 11:00:06,406 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.960, mIoU: 0.742
2023-07-13 11:00:06,418 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 11:00:06,430 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 11:00:06,442 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 11:00:06,454 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 11:00:06,466 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 11:00:06,479 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 11:00:06,491 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.960, mIoU: 0.743
2023-07-13 11:00:06,507 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.960, mIoU: 0.744
2023-07-13 11:00:06,520 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 11:00:06,539 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.960, mIoU: 0.745
2023-07-13 11:00:06,556 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 11:00:06,573 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 11:00:06,589 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.743
2023-07-13 11:00:06,603 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 11:00:06,616 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 11:00:06,628 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.742
2023-07-13 11:00:06,640 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 11:00:06,652 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 11:00:06,665 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 11:00:06,678 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 11:00:06,690 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 11:00:06,702 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 11:00:06,718 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 11:00:06,735 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 11:00:06,753 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 11:00:06,770 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 11:00:06,787 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.750
2023-07-13 11:00:06,803 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-13 11:00:06,817 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-13 11:00:06,830 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 11:00:06,842 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 11:00:06,854 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 11:00:06,866 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 11:00:06,879 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.955, mIoU: 0.755
2023-07-13 11:00:06,892 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 11:00:06,904 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 11:00:06,916 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 11:00:06,933 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 11:00:06,945 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 11:00:06,962 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 11:00:06,978 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 11:00:06,996 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 11:00:07,012 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 11:00:07,026 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.952, mIoU: 0.762
2023-07-13 11:00:07,039 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-13 11:00:07,051 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-13 11:00:07,064 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 11:00:07,076 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 11:00:07,089 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 11:00:07,101 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-13 11:00:07,114 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.950, mIoU: 0.767
2023-07-13 11:00:07,127 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 11:00:07,143 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 11:00:07,156 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 11:00:07,175 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 11:00:07,192 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 11:00:07,212 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.949, mIoU: 0.765
2023-07-13 11:00:07,229 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 11:00:07,241 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 11:00:07,254 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.948, mIoU: 0.764
2023-07-13 11:00:07,267 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:00:07,280 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 11:00:07,292 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:00:07,305 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:00:07,318 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:00:07,331 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:00:07,344 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 11:00:07,361 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 11:00:07,382 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 11:00:07,402 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.948, mIoU: 0.761
2023-07-13 11:00:07,420 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:00:07,437 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:00:07,453 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:00:07,466 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:00:07,478 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 11:00:07,491 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 11:00:07,504 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 11:00:07,517 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 11:00:40,276 semantic_segmentation INFO: Iters: 48810/50000 || Lr: 0.000692 || Task Loss: 0.0765 || KD Loss: 0.0211|| 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, 19:11:00 || Estimated Time: 1:03:10
2023-07-13 11:01:12,669 semantic_segmentation INFO: Iters: 48820/50000 || Lr: 0.000687 || Task Loss: 0.0979 || KD Loss: 0.0244|| 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, 19:11:32 || Estimated Time: 1:02:38
2023-07-13 11:01:45,021 semantic_segmentation INFO: Iters: 48830/50000 || Lr: 0.000682 || Task Loss: 0.0995 || 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, 19:12:05 || Estimated Time: 1:02:06
2023-07-13 11:02:17,376 semantic_segmentation INFO: Iters: 48840/50000 || Lr: 0.000677 || Task Loss: 0.0902 || KD Loss: 0.0217|| 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, 19:12:37 || Estimated Time: 1:01:34
2023-07-13 11:02:49,690 semantic_segmentation INFO: Iters: 48850/50000 || Lr: 0.000671 || Task Loss: 0.0923 || KD Loss: 0.0273|| 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, 19:13:09 || Estimated Time: 1:01:02
2023-07-13 11:03:22,062 semantic_segmentation INFO: Iters: 48860/50000 || Lr: 0.000666 || Task Loss: 0.0807 || KD Loss: 0.0241|| 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, 19:13:42 || Estimated Time: 1:00:30
2023-07-13 11:03:54,404 semantic_segmentation INFO: Iters: 48870/50000 || Lr: 0.000661 || Task Loss: 0.0851 || KD Loss: 0.0218|| 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, 19:14:14 || Estimated Time: 0:59:59
2023-07-13 11:04:26,764 semantic_segmentation INFO: Iters: 48880/50000 || Lr: 0.000656 || Task Loss: 0.0817 || KD Loss: 0.0246|| 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, 19:14:47 || Estimated Time: 0:59:27
2023-07-13 11:04:59,179 semantic_segmentation INFO: Iters: 48890/50000 || Lr: 0.000650 || Task Loss: 0.1000 || KD Loss: 0.0241|| 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, 19:15:19 || Estimated Time: 0:58:55
2023-07-13 11:05:31,610 semantic_segmentation INFO: Iters: 48900/50000 || Lr: 0.000645 || Task Loss: 0.0898 || KD Loss: 0.0214|| 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, 19:15:51 || Estimated Time: 0:58:23
2023-07-13 11:06:04,072 semantic_segmentation INFO: Iters: 48910/50000 || Lr: 0.000640 || Task Loss: 0.0804 || KD Loss: 0.0261|| 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, 19:16:24 || Estimated Time: 0:57:51
2023-07-13 11:06:36,497 semantic_segmentation INFO: Iters: 48920/50000 || Lr: 0.000634 || Task Loss: 0.0995 || KD Loss: 0.0228|| 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, 19:16:56 || Estimated Time: 0:57:19
2023-07-13 11:07:08,958 semantic_segmentation INFO: Iters: 48930/50000 || Lr: 0.000629 || Task Loss: 0.0884 || KD Loss: 0.0229|| 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, 19:17:29 || Estimated Time: 0:56:48
2023-07-13 11:07:41,338 semantic_segmentation INFO: Iters: 48940/50000 || Lr: 0.000624 || Task Loss: 0.0938 || KD Loss: 0.0217|| 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, 19:18:01 || Estimated Time: 0:56:16
2023-07-13 11:08:13,729 semantic_segmentation INFO: Iters: 48950/50000 || Lr: 0.000619 || Task Loss: 0.0831 || KD Loss: 0.0228|| 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, 19:18:33 || Estimated Time: 0:55:44
2023-07-13 11:08:46,077 semantic_segmentation INFO: Iters: 48960/50000 || Lr: 0.000613 || Task Loss: 0.0801 || KD Loss: 0.0231|| 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, 19:19:06 || Estimated Time: 0:55:12
2023-07-13 11:09:18,604 semantic_segmentation INFO: Iters: 48970/50000 || Lr: 0.000608 || Task Loss: 0.0979 || KD Loss: 0.0242|| 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, 19:19:38 || Estimated Time: 0:54:40
2023-07-13 11:09:50,985 semantic_segmentation INFO: Iters: 48980/50000 || Lr: 0.000603 || Task Loss: 0.0876 || KD Loss: 0.0211|| 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, 19:20:11 || Estimated Time: 0:54:08
2023-07-13 11:10:23,357 semantic_segmentation INFO: Iters: 48990/50000 || Lr: 0.000597 || Task Loss: 0.0925 || KD Loss: 0.0233|| 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, 19:20:43 || Estimated Time: 0:53:37
2023-07-13 11:10:55,732 semantic_segmentation INFO: Iters: 49000/50000 || Lr: 0.000592 || Task Loss: 0.0815 || KD Loss: 0.0194|| 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, 19:21:15 || Estimated Time: 0:53:05
2023-07-13 11:11:28,178 semantic_segmentation INFO: Iters: 49010/50000 || Lr: 0.000587 || Task Loss: 0.0943 || KD Loss: 0.0205|| 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, 19:21:48 || Estimated Time: 0:52:33
2023-07-13 11:12:00,454 semantic_segmentation INFO: Iters: 49020/50000 || Lr: 0.000581 || Task Loss: 0.0770 || KD Loss: 0.0201|| 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, 19:22:20 || Estimated Time: 0:52:01
2023-07-13 11:12:32,755 semantic_segmentation INFO: Iters: 49030/50000 || Lr: 0.000576 || Task Loss: 0.1032 || KD Loss: 0.0270|| 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, 19:22:53 || Estimated Time: 0:51:29
2023-07-13 11:13:04,883 semantic_segmentation INFO: Iters: 49040/50000 || Lr: 0.000571 || Task Loss: 0.0929 || KD Loss: 0.0214|| 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, 19:23:25 || Estimated Time: 0:50:57
2023-07-13 11:13:37,110 semantic_segmentation INFO: Iters: 49050/50000 || Lr: 0.000565 || Task Loss: 0.1002 || KD Loss: 0.0272|| 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, 19:23:57 || Estimated Time: 0:50:25
2023-07-13 11:14:09,339 semantic_segmentation INFO: Iters: 49060/50000 || Lr: 0.000560 || Task Loss: 0.0855 || KD Loss: 0.0210|| 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, 19:24:29 || Estimated Time: 0:49:54
2023-07-13 11:14:41,569 semantic_segmentation INFO: Iters: 49070/50000 || Lr: 0.000555 || Task Loss: 0.0790 || KD Loss: 0.0206|| 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, 19:25:01 || Estimated Time: 0:49:22
2023-07-13 11:15:13,718 semantic_segmentation INFO: Iters: 49080/50000 || Lr: 0.000549 || Task Loss: 0.0929 || KD Loss: 0.0235|| 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, 19:25:33 || Estimated Time: 0:48:50
2023-07-13 11:15:45,489 semantic_segmentation INFO: Iters: 49090/50000 || Lr: 0.000544 || Task Loss: 0.0864 || KD Loss: 0.0249|| 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, 19:26:05 || Estimated Time: 0:48:18
2023-07-13 11:16:16,907 semantic_segmentation INFO: Iters: 49100/50000 || Lr: 0.000539 || Task Loss: 0.0830 || KD Loss: 0.0229|| 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, 19:26:37 || Estimated Time: 0:47:46
2023-07-13 11:16:48,036 semantic_segmentation INFO: Iters: 49110/50000 || Lr: 0.000533 || Task Loss: 0.0778 || KD Loss: 0.0199|| 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, 19:27:08 || Estimated Time: 0:47:14
2023-07-13 11:17:18,959 semantic_segmentation INFO: Iters: 49120/50000 || Lr: 0.000528 || Task Loss: 0.0843 || KD Loss: 0.0243|| 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, 19:27:39 || Estimated Time: 0:46:42
2023-07-13 11:17:49,687 semantic_segmentation INFO: Iters: 49130/50000 || Lr: 0.000522 || Task Loss: 0.0933 || KD Loss: 0.0234|| 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, 19:28:09 || Estimated Time: 0:46:11
2023-07-13 11:18:20,330 semantic_segmentation INFO: Iters: 49140/50000 || Lr: 0.000517 || Task Loss: 0.0773 || KD Loss: 0.0207|| 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, 19:28:40 || Estimated Time: 0:45:39
2023-07-13 11:18:50,912 semantic_segmentation INFO: Iters: 49150/50000 || Lr: 0.000512 || Task Loss: 0.0962 || KD Loss: 0.0242|| 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, 19:29:11 || Estimated Time: 0:45:07
2023-07-13 11:19:21,417 semantic_segmentation INFO: Iters: 49160/50000 || Lr: 0.000506 || Task Loss: 0.1038 || KD Loss: 0.0260|| 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, 19:29:41 || Estimated Time: 0:44:35
2023-07-13 11:19:51,900 semantic_segmentation INFO: Iters: 49170/50000 || Lr: 0.000501 || Task Loss: 0.0822 || KD Loss: 0.0220|| 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, 19:30:12 || Estimated Time: 0:44:03
2023-07-13 11:20:22,408 semantic_segmentation INFO: Iters: 49180/50000 || Lr: 0.000495 || Task Loss: 0.0878 || KD Loss: 0.0196|| 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, 19:30:42 || Estimated Time: 0:43:31
2023-07-13 11:20:52,867 semantic_segmentation INFO: Iters: 49190/50000 || Lr: 0.000490 || Task Loss: 0.0824 || KD Loss: 0.0223|| 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, 19:31:13 || Estimated Time: 0:42:59
2023-07-13 11:21:23,356 semantic_segmentation INFO: Iters: 49200/50000 || Lr: 0.000484 || Task Loss: 0.0865 || KD Loss: 0.0216|| 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, 19:31:43 || Estimated Time: 0:42:28
2023-07-13 11:21:53,825 semantic_segmentation INFO: Iters: 49210/50000 || Lr: 0.000479 || Task Loss: 0.1051 || KD Loss: 0.0234|| 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, 19:32:14 || Estimated Time: 0:41:56
2023-07-13 11:22:24,310 semantic_segmentation INFO: Iters: 49220/50000 || Lr: 0.000474 || Task Loss: 0.0989 || KD Loss: 0.0234|| 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, 19:32:44 || Estimated Time: 0:41:24
2023-07-13 11:22:54,788 semantic_segmentation INFO: Iters: 49230/50000 || Lr: 0.000468 || Task Loss: 0.0970 || KD Loss: 0.0211|| 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, 19:33:15 || Estimated Time: 0:40:52
2023-07-13 11:23:25,234 semantic_segmentation INFO: Iters: 49240/50000 || Lr: 0.000463 || Task Loss: 0.1003 || KD Loss: 0.0235|| 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, 19:33:45 || Estimated Time: 0:40:20
2023-07-13 11:23:55,688 semantic_segmentation INFO: Iters: 49250/50000 || Lr: 0.000457 || Task Loss: 0.0878 || KD Loss: 0.0242|| 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, 19:34:15 || Estimated Time: 0:39:48
2023-07-13 11:24:26,143 semantic_segmentation INFO: Iters: 49260/50000 || Lr: 0.000452 || Task Loss: 0.0898 || KD Loss: 0.0220|| 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, 19:34:46 || Estimated Time: 0:39:16
2023-07-13 11:24:56,607 semantic_segmentation INFO: Iters: 49270/50000 || Lr: 0.000446 || Task Loss: 0.0792 || KD Loss: 0.0206|| 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, 19:35:16 || Estimated Time: 0:38:44
2023-07-13 11:25:27,034 semantic_segmentation INFO: Iters: 49280/50000 || Lr: 0.000441 || Task Loss: 0.0868 || KD Loss: 0.0212|| 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, 19:35:47 || Estimated Time: 0:38:13
2023-07-13 11:25:57,461 semantic_segmentation INFO: Iters: 49290/50000 || Lr: 0.000435 || Task Loss: 0.1081 || KD Loss: 0.0225|| 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, 19:36:17 || Estimated Time: 0:37:41
2023-07-13 11:26:27,873 semantic_segmentation INFO: Iters: 49300/50000 || Lr: 0.000430 || Task Loss: 0.0965 || KD Loss: 0.0222|| 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, 19:36:48 || Estimated Time: 0:37:09
2023-07-13 11:26:58,270 semantic_segmentation INFO: Iters: 49310/50000 || Lr: 0.000424 || Task Loss: 0.0865 || KD Loss: 0.0203|| 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, 19:37:18 || Estimated Time: 0:36:37
2023-07-13 11:27:28,655 semantic_segmentation INFO: Iters: 49320/50000 || Lr: 0.000419 || Task Loss: 0.0927 || KD Loss: 0.0255|| 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, 19:37:48 || Estimated Time: 0:36:05
2023-07-13 11:27:59,048 semantic_segmentation INFO: Iters: 49330/50000 || Lr: 0.000413 || Task Loss: 0.0870 || KD Loss: 0.0257|| 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, 19:38:19 || Estimated Time: 0:35:33
2023-07-13 11:28:29,434 semantic_segmentation INFO: Iters: 49340/50000 || Lr: 0.000408 || Task Loss: 0.0945 || KD Loss: 0.0217|| 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, 19:38:49 || Estimated Time: 0:35:01
2023-07-13 11:28:59,831 semantic_segmentation INFO: Iters: 49350/50000 || Lr: 0.000402 || Task Loss: 0.0921 || KD Loss: 0.0254|| 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, 19:39:20 || Estimated Time: 0:34:29
2023-07-13 11:29:30,228 semantic_segmentation INFO: Iters: 49360/50000 || Lr: 0.000396 || Task Loss: 0.1037 || KD Loss: 0.0207|| 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, 19:39:50 || Estimated Time: 0:33:58
2023-07-13 11:30:00,619 semantic_segmentation INFO: Iters: 49370/50000 || Lr: 0.000391 || Task Loss: 0.0888 || KD Loss: 0.0195|| 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, 19:40:20 || Estimated Time: 0:33:26
2023-07-13 11:30:30,993 semantic_segmentation INFO: Iters: 49380/50000 || Lr: 0.000385 || Task Loss: 0.1031 || KD Loss: 0.0215|| 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, 19:40:51 || Estimated Time: 0:32:54
2023-07-13 11:31:01,358 semantic_segmentation INFO: Iters: 49390/50000 || Lr: 0.000380 || Task Loss: 0.0825 || KD Loss: 0.0199|| 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, 19:41:21 || Estimated Time: 0:32:22
2023-07-13 11:31:31,767 semantic_segmentation INFO: Iters: 49400/50000 || Lr: 0.000374 || Task Loss: 0.0840 || KD Loss: 0.0240|| 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, 19:41:52 || Estimated Time: 0:31:50
2023-07-13 11:32:02,200 semantic_segmentation INFO: Iters: 49410/50000 || Lr: 0.000368 || Task Loss: 0.0674 || KD Loss: 0.0210|| 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, 19:42:22 || Estimated Time: 0:31:18
2023-07-13 11:32:32,600 semantic_segmentation INFO: Iters: 49420/50000 || Lr: 0.000363 || Task Loss: 0.0917 || KD Loss: 0.0228|| 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, 19:42:52 || Estimated Time: 0:30:46
2023-07-13 11:33:02,996 semantic_segmentation INFO: Iters: 49430/50000 || Lr: 0.000357 || Task Loss: 0.0818 || KD Loss: 0.0229|| 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, 19:43:23 || Estimated Time: 0:30:15
2023-07-13 11:33:33,380 semantic_segmentation INFO: Iters: 49440/50000 || Lr: 0.000352 || Task Loss: 0.0870 || KD Loss: 0.0216|| 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, 19:43:53 || Estimated Time: 0:29:43
2023-07-13 11:34:03,730 semantic_segmentation INFO: Iters: 49450/50000 || Lr: 0.000346 || Task Loss: 0.0993 || KD Loss: 0.0199|| 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, 19:44:23 || Estimated Time: 0:29:11
2023-07-13 11:34:34,082 semantic_segmentation INFO: Iters: 49460/50000 || Lr: 0.000340 || Task Loss: 0.0939 || KD Loss: 0.0211|| 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, 19:44:54 || Estimated Time: 0:28:39
2023-07-13 11:35:04,443 semantic_segmentation INFO: Iters: 49470/50000 || Lr: 0.000335 || Task Loss: 0.0856 || KD Loss: 0.0188|| 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, 19:45:24 || Estimated Time: 0:28:07
2023-07-13 11:35:34,804 semantic_segmentation INFO: Iters: 49480/50000 || Lr: 0.000329 || Task Loss: 0.0987 || KD Loss: 0.0232|| 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, 19:45:55 || Estimated Time: 0:27:35
2023-07-13 11:36:05,174 semantic_segmentation INFO: Iters: 49490/50000 || Lr: 0.000323 || Task Loss: 0.0727 || KD Loss: 0.0192|| 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, 19:46:25 || Estimated Time: 0:27:03
2023-07-13 11:36:35,563 semantic_segmentation INFO: Iters: 49500/50000 || Lr: 0.000318 || Task Loss: 0.0814 || KD Loss: 0.0217|| 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, 19:46:55 || Estimated Time: 0:26:32
2023-07-13 11:37:05,931 semantic_segmentation INFO: Iters: 49510/50000 || Lr: 0.000312 || Task Loss: 0.0848 || KD Loss: 0.0206|| 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, 19:47:26 || Estimated Time: 0:26:00
2023-07-13 11:37:36,280 semantic_segmentation INFO: Iters: 49520/50000 || Lr: 0.000306 || Task Loss: 0.0776 || KD Loss: 0.0189|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0778|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:47:56 || Estimated Time: 0:25:28
2023-07-13 11:38:06,641 semantic_segmentation INFO: Iters: 49530/50000 || Lr: 0.000300 || Task Loss: 0.0965 || KD Loss: 0.0264|| 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, 19:48:26 || Estimated Time: 0:24:56
2023-07-13 11:38:37,006 semantic_segmentation INFO: Iters: 49540/50000 || Lr: 0.000295 || Task Loss: 0.0927 || KD Loss: 0.0260|| 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, 19:48:57 || Estimated Time: 0:24:24
2023-07-13 11:39:07,377 semantic_segmentation INFO: Iters: 49550/50000 || Lr: 0.000289 || Task Loss: 0.0939 || KD Loss: 0.0217|| 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, 19:49:27 || Estimated Time: 0:23:52
2023-07-13 11:39:37,711 semantic_segmentation INFO: Iters: 49560/50000 || Lr: 0.000283 || Task Loss: 0.1013 || KD Loss: 0.0209|| 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: 1 day, 19:49:57 || Estimated Time: 0:23:20
2023-07-13 11:40:08,054 semantic_segmentation INFO: Iters: 49570/50000 || Lr: 0.000277 || Task Loss: 0.0870 || KD Loss: 0.0230|| 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, 19:50:28 || Estimated Time: 0:22:49
2023-07-13 11:40:38,361 semantic_segmentation INFO: Iters: 49580/50000 || Lr: 0.000272 || Task Loss: 0.0894 || KD Loss: 0.0238|| 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, 19:50:58 || Estimated Time: 0:22:17
2023-07-13 11:41:08,673 semantic_segmentation INFO: Iters: 49590/50000 || Lr: 0.000266 || Task Loss: 0.0931 || KD Loss: 0.0238|| 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, 19:51:28 || Estimated Time: 0:21:45
2023-07-13 11:41:38,999 semantic_segmentation INFO: Iters: 49600/50000 || Lr: 0.000260 || Task Loss: 0.1019 || KD Loss: 0.0240|| 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, 19:51:59 || Estimated Time: 0:21:13
2023-07-13 11:41:39,082 semantic_segmentation INFO: Start validation, Total sample: 101
2023-07-13 11:41:39,269 semantic_segmentation INFO: Sample: 1, Validation pixAcc: 0.964, mIoU: 0.744
2023-07-13 11:41:39,296 semantic_segmentation INFO: Sample: 2, Validation pixAcc: 0.963, mIoU: 0.745
2023-07-13 11:41:39,309 semantic_segmentation INFO: Sample: 3, Validation pixAcc: 0.964, mIoU: 0.746
2023-07-13 11:41:39,321 semantic_segmentation INFO: Sample: 4, Validation pixAcc: 0.964, mIoU: 0.743
2023-07-13 11:41:39,333 semantic_segmentation INFO: Sample: 5, Validation pixAcc: 0.963, mIoU: 0.738
2023-07-13 11:41:39,345 semantic_segmentation INFO: Sample: 6, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 11:41:39,357 semantic_segmentation INFO: Sample: 7, Validation pixAcc: 0.963, mIoU: 0.739
2023-07-13 11:41:39,369 semantic_segmentation INFO: Sample: 8, Validation pixAcc: 0.963, mIoU: 0.740
2023-07-13 11:41:39,381 semantic_segmentation INFO: Sample: 9, Validation pixAcc: 0.962, mIoU: 0.738
2023-07-13 11:41:39,393 semantic_segmentation INFO: Sample: 10, Validation pixAcc: 0.962, mIoU: 0.737
2023-07-13 11:41:39,405 semantic_segmentation INFO: Sample: 11, Validation pixAcc: 0.962, mIoU: 0.739
2023-07-13 11:41:39,417 semantic_segmentation INFO: Sample: 12, Validation pixAcc: 0.961, mIoU: 0.737
2023-07-13 11:41:39,429 semantic_segmentation INFO: Sample: 13, Validation pixAcc: 0.961, mIoU: 0.740
2023-07-13 11:41:39,441 semantic_segmentation INFO: Sample: 14, Validation pixAcc: 0.961, mIoU: 0.741
2023-07-13 11:41:39,454 semantic_segmentation INFO: Sample: 15, Validation pixAcc: 0.961, mIoU: 0.743
2023-07-13 11:41:39,466 semantic_segmentation INFO: Sample: 16, Validation pixAcc: 0.961, mIoU: 0.746
2023-07-13 11:41:39,482 semantic_segmentation INFO: Sample: 17, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-13 11:41:39,494 semantic_segmentation INFO: Sample: 18, Validation pixAcc: 0.961, mIoU: 0.748
2023-07-13 11:41:39,515 semantic_segmentation INFO: Sample: 19, Validation pixAcc: 0.961, mIoU: 0.747
2023-07-13 11:41:39,533 semantic_segmentation INFO: Sample: 20, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 11:41:39,547 semantic_segmentation INFO: Sample: 21, Validation pixAcc: 0.960, mIoU: 0.746
2023-07-13 11:41:39,563 semantic_segmentation INFO: Sample: 22, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 11:41:39,578 semantic_segmentation INFO: Sample: 23, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 11:41:39,590 semantic_segmentation INFO: Sample: 24, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 11:41:39,602 semantic_segmentation INFO: Sample: 25, Validation pixAcc: 0.959, mIoU: 0.741
2023-07-13 11:41:39,614 semantic_segmentation INFO: Sample: 26, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 11:41:39,626 semantic_segmentation INFO: Sample: 27, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 11:41:39,638 semantic_segmentation INFO: Sample: 28, Validation pixAcc: 0.959, mIoU: 0.742
2023-07-13 11:41:39,650 semantic_segmentation INFO: Sample: 29, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 11:41:39,662 semantic_segmentation INFO: Sample: 30, Validation pixAcc: 0.959, mIoU: 0.743
2023-07-13 11:41:39,674 semantic_segmentation INFO: Sample: 31, Validation pixAcc: 0.959, mIoU: 0.744
2023-07-13 11:41:39,686 semantic_segmentation INFO: Sample: 32, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 11:41:39,705 semantic_segmentation INFO: Sample: 33, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 11:41:39,722 semantic_segmentation INFO: Sample: 34, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 11:41:39,741 semantic_segmentation INFO: Sample: 35, Validation pixAcc: 0.959, mIoU: 0.745
2023-07-13 11:41:39,757 semantic_segmentation INFO: Sample: 36, Validation pixAcc: 0.958, mIoU: 0.744
2023-07-13 11:41:39,774 semantic_segmentation INFO: Sample: 37, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 11:41:39,790 semantic_segmentation INFO: Sample: 38, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 11:41:39,802 semantic_segmentation INFO: Sample: 39, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 11:41:39,815 semantic_segmentation INFO: Sample: 40, Validation pixAcc: 0.957, mIoU: 0.743
2023-07-13 11:41:39,827 semantic_segmentation INFO: Sample: 41, Validation pixAcc: 0.957, mIoU: 0.744
2023-07-13 11:41:39,839 semantic_segmentation INFO: Sample: 42, Validation pixAcc: 0.957, mIoU: 0.745
2023-07-13 11:41:39,852 semantic_segmentation INFO: Sample: 43, Validation pixAcc: 0.957, mIoU: 0.746
2023-07-13 11:41:39,864 semantic_segmentation INFO: Sample: 44, Validation pixAcc: 0.957, mIoU: 0.747
2023-07-13 11:41:39,876 semantic_segmentation INFO: Sample: 45, Validation pixAcc: 0.956, mIoU: 0.746
2023-07-13 11:41:39,888 semantic_segmentation INFO: Sample: 46, Validation pixAcc: 0.957, mIoU: 0.748
2023-07-13 11:41:39,904 semantic_segmentation INFO: Sample: 47, Validation pixAcc: 0.957, mIoU: 0.749
2023-07-13 11:41:39,916 semantic_segmentation INFO: Sample: 48, Validation pixAcc: 0.957, mIoU: 0.750
2023-07-13 11:41:39,934 semantic_segmentation INFO: Sample: 49, Validation pixAcc: 0.957, mIoU: 0.751
2023-07-13 11:41:39,950 semantic_segmentation INFO: Sample: 50, Validation pixAcc: 0.956, mIoU: 0.751
2023-07-13 11:41:39,967 semantic_segmentation INFO: Sample: 51, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-13 11:41:39,983 semantic_segmentation INFO: Sample: 52, Validation pixAcc: 0.956, mIoU: 0.752
2023-07-13 11:41:39,998 semantic_segmentation INFO: Sample: 53, Validation pixAcc: 0.955, mIoU: 0.753
2023-07-13 11:41:40,010 semantic_segmentation INFO: Sample: 54, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 11:41:40,022 semantic_segmentation INFO: Sample: 55, Validation pixAcc: 0.955, mIoU: 0.754
2023-07-13 11:41:40,034 semantic_segmentation INFO: Sample: 56, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 11:41:40,046 semantic_segmentation INFO: Sample: 57, Validation pixAcc: 0.954, mIoU: 0.755
2023-07-13 11:41:40,058 semantic_segmentation INFO: Sample: 58, Validation pixAcc: 0.954, mIoU: 0.756
2023-07-13 11:41:40,070 semantic_segmentation INFO: Sample: 59, Validation pixAcc: 0.954, mIoU: 0.757
2023-07-13 11:41:40,082 semantic_segmentation INFO: Sample: 60, Validation pixAcc: 0.954, mIoU: 0.758
2023-07-13 11:41:40,094 semantic_segmentation INFO: Sample: 61, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 11:41:40,111 semantic_segmentation INFO: Sample: 62, Validation pixAcc: 0.953, mIoU: 0.759
2023-07-13 11:41:40,127 semantic_segmentation INFO: Sample: 63, Validation pixAcc: 0.953, mIoU: 0.760
2023-07-13 11:41:40,145 semantic_segmentation INFO: Sample: 64, Validation pixAcc: 0.952, mIoU: 0.760
2023-07-13 11:41:40,161 semantic_segmentation INFO: Sample: 65, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 11:41:40,180 semantic_segmentation INFO: Sample: 66, Validation pixAcc: 0.952, mIoU: 0.761
2023-07-13 11:41:40,196 semantic_segmentation INFO: Sample: 67, Validation pixAcc: 0.951, mIoU: 0.762
2023-07-13 11:41:40,208 semantic_segmentation INFO: Sample: 68, Validation pixAcc: 0.951, mIoU: 0.763
2023-07-13 11:41:40,221 semantic_segmentation INFO: Sample: 69, Validation pixAcc: 0.951, mIoU: 0.764
2023-07-13 11:41:40,234 semantic_segmentation INFO: Sample: 70, Validation pixAcc: 0.950, mIoU: 0.765
2023-07-13 11:41:40,246 semantic_segmentation INFO: Sample: 71, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 11:41:40,258 semantic_segmentation INFO: Sample: 72, Validation pixAcc: 0.950, mIoU: 0.766
2023-07-13 11:41:40,270 semantic_segmentation INFO: Sample: 73, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 11:41:40,282 semantic_segmentation INFO: Sample: 74, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 11:41:40,294 semantic_segmentation INFO: Sample: 75, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 11:41:40,310 semantic_segmentation INFO: Sample: 76, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 11:41:40,322 semantic_segmentation INFO: Sample: 77, Validation pixAcc: 0.949, mIoU: 0.767
2023-07-13 11:41:40,341 semantic_segmentation INFO: Sample: 78, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 11:41:40,357 semantic_segmentation INFO: Sample: 79, Validation pixAcc: 0.949, mIoU: 0.766
2023-07-13 11:41:40,374 semantic_segmentation INFO: Sample: 80, Validation pixAcc: 0.948, mIoU: 0.766
2023-07-13 11:41:40,390 semantic_segmentation INFO: Sample: 81, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 11:41:40,405 semantic_segmentation INFO: Sample: 82, Validation pixAcc: 0.948, mIoU: 0.765
2023-07-13 11:41:40,417 semantic_segmentation INFO: Sample: 83, Validation pixAcc: 0.947, mIoU: 0.764
2023-07-13 11:41:40,429 semantic_segmentation INFO: Sample: 84, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:41:40,442 semantic_segmentation INFO: Sample: 85, Validation pixAcc: 0.947, mIoU: 0.762
2023-07-13 11:41:40,454 semantic_segmentation INFO: Sample: 86, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:41:40,467 semantic_segmentation INFO: Sample: 87, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:41:40,479 semantic_segmentation INFO: Sample: 88, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:41:40,491 semantic_segmentation INFO: Sample: 89, Validation pixAcc: 0.947, mIoU: 0.763
2023-07-13 11:41:40,502 semantic_segmentation INFO: Sample: 90, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 11:41:40,514 semantic_segmentation INFO: Sample: 91, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 11:41:40,532 semantic_segmentation INFO: Sample: 92, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 11:41:40,548 semantic_segmentation INFO: Sample: 93, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 11:41:40,565 semantic_segmentation INFO: Sample: 94, Validation pixAcc: 0.947, mIoU: 0.761
2023-07-13 11:41:40,581 semantic_segmentation INFO: Sample: 95, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:41:40,599 semantic_segmentation INFO: Sample: 96, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:41:40,614 semantic_segmentation INFO: Sample: 97, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:41:40,626 semantic_segmentation INFO: Sample: 98, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:41:40,638 semantic_segmentation INFO: Sample: 99, Validation pixAcc: 0.948, mIoU: 0.762
2023-07-13 11:41:40,649 semantic_segmentation INFO: Sample: 100, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 11:41:40,661 semantic_segmentation INFO: Sample: 101, Validation pixAcc: 0.949, mIoU: 0.762
2023-07-13 11:42:11,048 semantic_segmentation INFO: Iters: 49610/50000 || Lr: 0.000254 || Task Loss: 0.0943 || KD Loss: 0.0248|| 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, 19:52:31 || Estimated Time: 0:20:41
2023-07-13 11:42:41,387 semantic_segmentation INFO: Iters: 49620/50000 || Lr: 0.000248 || Task Loss: 0.0863 || KD Loss: 0.0194|| 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, 19:53:01 || Estimated Time: 0:20:09
2023-07-13 11:43:11,745 semantic_segmentation INFO: Iters: 49630/50000 || Lr: 0.000242 || Task Loss: 0.0857 || KD Loss: 0.0205|| 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, 19:53:32 || Estimated Time: 0:19:37
2023-07-13 11:43:42,099 semantic_segmentation INFO: Iters: 49640/50000 || Lr: 0.000236 || Task Loss: 0.0949 || KD Loss: 0.0206|| 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, 19:54:02 || Estimated Time: 0:19:06
2023-07-13 11:44:12,465 semantic_segmentation INFO: Iters: 49650/50000 || Lr: 0.000231 || Task Loss: 0.0799 || KD Loss: 0.0252|| 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, 19:54:32 || Estimated Time: 0:18:34
2023-07-13 11:44:42,802 semantic_segmentation INFO: Iters: 49660/50000 || Lr: 0.000225 || Task Loss: 0.0973 || KD Loss: 0.0205|| 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, 19:55:03 || Estimated Time: 0:18:02
2023-07-13 11:45:13,169 semantic_segmentation INFO: Iters: 49670/50000 || Lr: 0.000219 || Task Loss: 0.1166 || KD Loss: 0.0282|| 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, 19:55:33 || Estimated Time: 0:17:30
2023-07-13 11:45:43,552 semantic_segmentation INFO: Iters: 49680/50000 || Lr: 0.000213 || Task Loss: 0.1017 || KD Loss: 0.0228|| 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, 19:56:03 || Estimated Time: 0:16:58
2023-07-13 11:46:13,875 semantic_segmentation INFO: Iters: 49690/50000 || Lr: 0.000207 || Task Loss: 0.0991 || KD Loss: 0.0224|| Adv_G Loss: 0.0000 || Adv_D Loss: 0.0000 ||  ifkd_loss: 0.0740|| skd_loss: 0.0000 || cwd_fea_loss: 0.0000 || cwd_logit_loss: 0.0000 || ifv_loss: 0.0000 || at_loss: 0.0000 || fitnet_loss: 0.0000 || psd_loss: 0.0000 || csd_loss: 0.0000 |||| Cost Time: 1 day, 19:56:34 || Estimated Time: 0:16:26
2023-07-13 11:46:44,223 semantic_segmentation INFO: Iters: 49700/50000 || Lr: 0.000201 || Task Loss: 0.0917 || KD Loss: 0.0231|| 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, 19:57:04 || Estimated Time: 0:15:55
2023-07-13 11:47:14,571 semantic_segmentation INFO: Iters: 49710/50000 || Lr: 0.000195 || Task Loss: 0.0840 || KD Loss: 0.0226|| 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, 19:57:34 || Estimated Time: 0:15:23
2023-07-13 11:47:44,908 semantic_segmentation INFO: Iters: 49720/50000 || Lr: 0.000189 || Task Loss: 0.0983 || KD Loss: 0.0213|| 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, 19:58:05 || Estimated Time: 0:14:51
2023-07-13 11:48:15,261 semantic_segmentation INFO: Iters: 49730/50000 || Lr: 0.000183 || Task Loss: 0.0819 || KD Loss: 0.0222|| 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, 19:58:35 || Estimated Time: 0:14:19
2023-07-13 11:48:45,616 semantic_segmentation INFO: Iters: 49740/50000 || Lr: 0.000177 || Task Loss: 0.0939 || KD Loss: 0.0210|| 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, 19:59:05 || Estimated Time: 0:13:47
2023-07-13 11:49:15,942 semantic_segmentation INFO: Iters: 49750/50000 || Lr: 0.000170 || Task Loss: 0.0789 || KD Loss: 0.0238|| 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, 19:59:36 || Estimated Time: 0:13:15
2023-07-13 11:49:46,305 semantic_segmentation INFO: Iters: 49760/50000 || Lr: 0.000164 || Task Loss: 0.0901 || KD Loss: 0.0252|| 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, 20:00:06 || Estimated Time: 0:12:44
2023-07-13 11:50:16,639 semantic_segmentation INFO: Iters: 49770/50000 || Lr: 0.000158 || Task Loss: 0.0824 || KD Loss: 0.0239|| 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, 20:00:36 || Estimated Time: 0:12:12
2023-07-13 11:50:46,984 semantic_segmentation INFO: Iters: 49780/50000 || Lr: 0.000152 || Task Loss: 0.1009 || KD Loss: 0.0266|| 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, 20:01:07 || Estimated Time: 0:11:40
2023-07-13 11:51:17,302 semantic_segmentation INFO: Iters: 49790/50000 || Lr: 0.000146 || Task Loss: 0.0781 || KD Loss: 0.0213|| 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, 20:01:37 || Estimated Time: 0:11:08
2023-07-13 11:51:47,684 semantic_segmentation INFO: Iters: 49800/50000 || Lr: 0.000140 || Task Loss: 0.0890 || KD Loss: 0.0224|| 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, 20:02:07 || Estimated Time: 0:10:36
2023-07-13 11:52:18,056 semantic_segmentation INFO: Iters: 49810/50000 || Lr: 0.000133 || Task Loss: 0.0966 || KD Loss: 0.0271|| 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, 20:02:38 || Estimated Time: 0:10:04
2023-07-13 11:52:48,400 semantic_segmentation INFO: Iters: 49820/50000 || Lr: 0.000127 || Task Loss: 0.0947 || KD Loss: 0.0195|| 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, 20:03:08 || Estimated Time: 0:09:32
2023-07-13 11:53:18,762 semantic_segmentation INFO: Iters: 49830/50000 || Lr: 0.000121 || Task Loss: 0.1027 || KD Loss: 0.0218|| 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, 20:03:39 || Estimated Time: 0:09:01
2023-07-13 11:53:49,099 semantic_segmentation INFO: Iters: 49840/50000 || Lr: 0.000114 || Task Loss: 0.0962 || KD Loss: 0.0227|| 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, 20:04:09 || Estimated Time: 0:08:29
2023-07-13 11:54:19,442 semantic_segmentation INFO: Iters: 49850/50000 || Lr: 0.000108 || Task Loss: 0.0965 || KD Loss: 0.0226|| 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, 20:04:39 || Estimated Time: 0:07:57
2023-07-13 11:54:49,760 semantic_segmentation INFO: Iters: 49860/50000 || Lr: 0.000101 || Task Loss: 0.0887 || KD Loss: 0.0251|| 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, 20:05:10 || Estimated Time: 0:07:25
2023-07-13 11:55:20,097 semantic_segmentation INFO: Iters: 49870/50000 || Lr: 0.000095 || Task Loss: 0.0856 || KD Loss: 0.0225|| 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, 20:05:40 || Estimated Time: 0:06:53
2023-07-13 11:55:50,434 semantic_segmentation INFO: Iters: 49880/50000 || Lr: 0.000088 || Task Loss: 0.0972 || KD Loss: 0.0280|| 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, 20:06:10 || Estimated Time: 0:06:21
2023-07-13 11:56:20,786 semantic_segmentation INFO: Iters: 49890/50000 || Lr: 0.000082 || Task Loss: 0.0917 || KD Loss: 0.0256|| 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, 20:06:41 || Estimated Time: 0:05:50
2023-07-13 11:56:51,125 semantic_segmentation INFO: Iters: 49900/50000 || Lr: 0.000075 || Task Loss: 0.0741 || KD Loss: 0.0230|| 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, 20:07:11 || Estimated Time: 0:05:18
2023-07-13 11:57:21,471 semantic_segmentation INFO: Iters: 49910/50000 || Lr: 0.000068 || Task Loss: 0.0952 || KD Loss: 0.0199|| 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, 20:07:41 || Estimated Time: 0:04:46
2023-07-13 11:57:51,823 semantic_segmentation INFO: Iters: 49920/50000 || Lr: 0.000062 || Task Loss: 0.0822 || KD Loss: 0.0198|| 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, 20:08:12 || Estimated Time: 0:04:14
2023-07-13 11:58:22,116 semantic_segmentation INFO: Iters: 49930/50000 || Lr: 0.000055 || Task Loss: 0.1064 || KD Loss: 0.0281|| 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, 20:08:42 || Estimated Time: 0:03:42
2023-07-13 11:58:52,426 semantic_segmentation INFO: Iters: 49940/50000 || Lr: 0.000048 || Task Loss: 0.0871 || KD Loss: 0.0201|| 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, 20:09:12 || Estimated Time: 0:03:10
2023-07-13 11:59:22,733 semantic_segmentation INFO: Iters: 49950/50000 || Lr: 0.000041 || Task Loss: 0.0919 || KD Loss: 0.0224|| 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, 20:09:42 || Estimated Time: 0:02:39
2023-07-13 11:59:53,037 semantic_segmentation INFO: Iters: 49960/50000 || Lr: 0.000033 || Task Loss: 0.0949 || KD Loss: 0.0232|| 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, 20:10:13 || Estimated Time: 0:02:07
2023-07-13 12:00:23,321 semantic_segmentation INFO: Iters: 49970/50000 || Lr: 0.000026 || Task Loss: 0.0868 || KD Loss: 0.0225|| 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, 20:10:43 || Estimated Time: 0:01:35
2023-07-13 12:00:53,637 semantic_segmentation INFO: Iters: 49980/50000 || Lr: 0.000018 || Task Loss: 0.0834 || KD Loss: 0.0203|| 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, 20:11:13 || Estimated Time: 0:01:03
2023-07-13 12:01:24,018 semantic_segmentation INFO: Iters: 49990/50000 || Lr: 0.000010 || Task Loss: 0.0848 || KD Loss: 0.0208|| 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, 20:11:44 || Estimated Time: 0:00:31
2023-07-13 12:01:54,345 semantic_segmentation INFO: Iters: 50000/50000 || Lr: 0.000001 || Task Loss: 0.0948 || KD Loss: 0.0225|| 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, 20:12:14 || Estimated Time: 0:00:00
2023-07-13 12:01:54,462 semantic_segmentation INFO: Total training time: 1 day, 20:12:14.723317 (3.1827s / it)
