> Training Environment: | > Current device: 0 | > Num. of GPUs: 1 | > Num. of CPUs: 2 | > Num. of Torch Threads: 1 | > Torch seed: 54321 | > Torch CUDNN: True | > Torch CUDNN deterministic: False | > Torch CUDNN benchmark: False > Start Tensorboard: tensorboard --logdir=/content/train_output/kaggRun > Restoring from checkpoint_34000.pth ... > Restoring Model... > Restoring Optimizer... > Model restored from step 34000 > Model has 84660721 parameters > Restoring best loss from best_model_21302.pth ... > Starting with loaded last best loss 0.322498  > EPOCH: 0/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 04:27:45)   --> STEP: 24/1391 -- GLOBAL_STEP: 34025 | > D_mse_gan_loss: 0.28604 (0.34073) | > D_mse_gan_real_loss: 0.00153 (0.01789) | > D_mse_gan_fake_loss: 0.00068 (0.01903) | > loss_0: 0.28604 (0.34073) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.32204 (0.28889) | > G_mse_fake_loss: 0.55712 (0.51146) | > G_feat_match_loss: 0.07570 (0.06610) | > G_gen_loss: 14.49195 (13.00008) | > G_adv_loss: 8.73273 (7.65010) | > loss_1: 23.22469 (20.65017) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.06950 (1.04991) | > loader_time: 0.00180 (0.00224)  --> STEP: 49/1391 -- GLOBAL_STEP: 34050 | > D_mse_gan_loss: 0.38728 (0.32238) | > D_mse_gan_real_loss: 0.07681 (0.01081) | > D_mse_gan_fake_loss: 0.05982 (0.01391) | > loss_0: 0.38728 (0.32238) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27539 (0.28893) | > G_mse_fake_loss: 0.48702 (0.52882) | > G_feat_match_loss: 0.06225 (0.07033) | > G_gen_loss: 12.39254 (13.00181) | > G_adv_loss: 7.21022 (8.12421) | > loss_1: 19.60276 (21.12601) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05570 (1.05911) | > loader_time: 0.00190 (0.00233)  --> STEP: 74/1391 -- GLOBAL_STEP: 34075 | > D_mse_gan_loss: 0.40281 (0.32733) | > D_mse_gan_real_loss: 0.02686 (0.01204) | > D_mse_gan_fake_loss: 0.08804 (0.01785) | > loss_0: 0.40281 (0.32733) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28007 (0.28944) | > G_mse_fake_loss: 0.42282 (0.52155) | > G_feat_match_loss: 0.05363 (0.06937) | > G_gen_loss: 12.60305 (13.02467) | > G_adv_loss: 6.21452 (8.01321) | > loss_1: 18.81757 (21.03789) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04100 (1.05307) | > loader_time: 0.00190 (0.00223)  --> STEP: 99/1391 -- GLOBAL_STEP: 34100 | > D_mse_gan_loss: 0.34084 (0.32587) | > D_mse_gan_real_loss: 0.00245 (0.01180) | > D_mse_gan_fake_loss: 0.03975 (0.01632) | > loss_0: 0.34084 (0.32587) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30023 (0.29208) | > G_mse_fake_loss: 0.49832 (0.52246) | > G_feat_match_loss: 0.05801 (0.06947) | > G_gen_loss: 13.51052 (13.14362) | > G_adv_loss: 6.76356 (8.02551) | > loss_1: 20.27408 (21.16913) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04910 (1.05102) | > loader_time: 0.00230 (0.00227)  --> STEP: 124/1391 -- GLOBAL_STEP: 34125 | > D_mse_gan_loss: 0.30086 (0.33132) | > D_mse_gan_real_loss: 0.00179 (0.01266) | > D_mse_gan_fake_loss: 0.00007 (0.01731) | > loss_0: 0.30086 (0.33132) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29708 (0.29267) | > G_mse_fake_loss: 0.51366 (0.51571) | > G_feat_match_loss: 0.07118 (0.06787) | > G_gen_loss: 13.36875 (13.17004) | > G_adv_loss: 8.20092 (7.84566) | > loss_1: 21.56967 (21.01571) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05260 (1.05477) | > loader_time: 0.00210 (0.00227) ! Run is kept in /content/train_output/kaggRun > Training Environment: | > Current device: 0 | > Num. of GPUs: 1 | > Num. of CPUs: 2 | > Num. of Torch Threads: 1 | > Torch seed: 54321 | > Torch CUDNN: True | > Torch CUDNN deterministic: False | > Torch CUDNN benchmark: False > Start Tensorboard: tensorboard --logdir=/content/train_output/kaggRun > Restoring from checkpoint_34000.pth ... > Restoring Model... > Restoring Optimizer... > Model restored from step 34000 > Model has 84660721 parameters > Restoring best loss from checkpoint_34000.pth ... > Starting with loaded last best loss 0.322498  > EPOCH: 0/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 04:32:18)   --> STEP: 24/1391 -- GLOBAL_STEP: 34025 | > D_mse_gan_loss: 0.45696 (0.35527) | > D_mse_gan_real_loss: 0.02247 (0.02193) | > D_mse_gan_fake_loss: 0.17460 (0.02834) | > loss_0: 0.45696 (0.35527) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30989 (0.28787) | > G_mse_fake_loss: 0.39721 (0.49181) | > G_feat_match_loss: 0.04157 (0.06261) | > G_gen_loss: 13.94508 (12.95412) | > G_adv_loss: 4.88685 (7.25372) | > loss_1: 18.83193 (20.20784) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.08110 (1.05270) | > loader_time: 0.00190 (0.00278)  --> STEP: 49/1391 -- GLOBAL_STEP: 34050 | > D_mse_gan_loss: 0.33621 (0.35446) | > D_mse_gan_real_loss: 0.00102 (0.02845) | > D_mse_gan_fake_loss: 0.03620 (0.03199) | > loss_0: 0.33621 (0.35446) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28951 (0.28989) | > G_mse_fake_loss: 0.47514 (0.49219) | > G_feat_match_loss: 0.06844 (0.06164) | > G_gen_loss: 13.02777 (13.04516) | > G_adv_loss: 7.86627 (7.14926) | > loss_1: 20.89404 (20.19441) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.06116) | > loader_time: 0.00200 (0.00263)  --> STEP: 74/1391 -- GLOBAL_STEP: 34075 | > D_mse_gan_loss: 0.31882 (0.34329) | > D_mse_gan_real_loss: 0.01230 (0.02215) | > D_mse_gan_fake_loss: 0.02762 (0.02710) | > loss_0: 0.31882 (0.34329) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28795 (0.28918) | > G_mse_fake_loss: 0.51380 (0.49800) | > G_feat_match_loss: 0.07202 (0.06360) | > G_gen_loss: 12.95759 (13.01301) | > G_adv_loss: 8.29191 (7.36646) | > loss_1: 21.24950 (20.37947) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.11320 (1.05948) | > loader_time: 0.00920 (0.00300)  --> STEP: 99/1391 -- GLOBAL_STEP: 34100 | > D_mse_gan_loss: 0.40168 (0.34104) | > D_mse_gan_real_loss: 0.01061 (0.01937) | > D_mse_gan_fake_loss: 0.06459 (0.02453) | > loss_0: 0.40168 (0.34104) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29937 (0.29046) | > G_mse_fake_loss: 0.40566 (0.50024) | > G_feat_match_loss: 0.04665 (0.06438) | > G_gen_loss: 13.47155 (13.07060) | > G_adv_loss: 5.44379 (7.45276) | > loss_1: 18.91534 (20.52336) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05200 (1.05642) | > loader_time: 0.00290 (0.00298)  --> STEP: 124/1391 -- GLOBAL_STEP: 34125 | > D_mse_gan_loss: 0.32394 (0.34598) | > D_mse_gan_real_loss: 0.00446 (0.02089) | > D_mse_gan_fake_loss: 0.00713 (0.02692) | > loss_0: 0.32394 (0.34598) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30015 (0.29171) | > G_mse_fake_loss: 0.53218 (0.49543) | > G_feat_match_loss: 0.06726 (0.06334) | > G_gen_loss: 13.50668 (13.12713) | > G_adv_loss: 7.79635 (7.33626) | > loss_1: 21.30303 (20.46338) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04680 (1.05544) | > loader_time: 0.00220 (0.00297)  --> STEP: 149/1391 -- GLOBAL_STEP: 34150 | > D_mse_gan_loss: 0.31287 (0.34532) | > D_mse_gan_real_loss: 0.00183 (0.02058) | > D_mse_gan_fake_loss: 0.00007 (0.02636) | > loss_0: 0.31287 (0.34532) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31578 (0.29244) | > G_mse_fake_loss: 0.53211 (0.49602) | > G_feat_match_loss: 0.07290 (0.06317) | > G_gen_loss: 14.21020 (13.15978) | > G_adv_loss: 8.40539 (7.31829) | > loss_1: 22.61559 (20.47807) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04730 (1.05412) | > loader_time: 0.00200 (0.00295)  --> STEP: 174/1391 -- GLOBAL_STEP: 34175 | > D_mse_gan_loss: 0.29416 (0.34043) | > D_mse_gan_real_loss: 0.00053 (0.01783) | > D_mse_gan_fake_loss: 0.00205 (0.02293) | > loss_0: 0.29416 (0.34043) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29847 (0.29399) | > G_mse_fake_loss: 0.52643 (0.50278) | > G_feat_match_loss: 0.07211 (0.06479) | > G_gen_loss: 13.43112 (13.22959) | > G_adv_loss: 8.31485 (7.49990) | > loss_1: 21.74597 (20.72949) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04810 (1.05296) | > loader_time: 0.00300 (0.00284)  --> STEP: 199/1391 -- GLOBAL_STEP: 34200 | > D_mse_gan_loss: 0.30939 (0.33903) | > D_mse_gan_real_loss: 0.00729 (0.01632) | > D_mse_gan_fake_loss: 0.00106 (0.02199) | > loss_0: 0.30939 (0.33903) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28310 (0.29367) | > G_mse_fake_loss: 0.52098 (0.50522) | > G_feat_match_loss: 0.06929 (0.06524) | > G_gen_loss: 12.73951 (13.21502) | > G_adv_loss: 8.00386 (7.55137) | > loss_1: 20.74337 (20.76640) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04290 (1.05211) | > loader_time: 0.00190 (0.00279)  --> STEP: 224/1391 -- GLOBAL_STEP: 34225 | > D_mse_gan_loss: 0.31341 (0.33812) | > D_mse_gan_real_loss: 0.01150 (0.01594) | > D_mse_gan_fake_loss: 0.00008 (0.02182) | > loss_0: 0.31341 (0.33812) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30145 (0.29345) | > G_mse_fake_loss: 0.53269 (0.50551) | > G_feat_match_loss: 0.07249 (0.06532) | > G_gen_loss: 13.56539 (13.20535) | > G_adv_loss: 8.36155 (7.55962) | > loss_1: 21.92693 (20.76497) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05560 (1.05182) | > loader_time: 0.00210 (0.00273)  --> STEP: 249/1391 -- GLOBAL_STEP: 34250 | > D_mse_gan_loss: 0.28812 (0.33475) | > D_mse_gan_real_loss: 0.00023 (0.01473) | > D_mse_gan_fake_loss: 0.00006 (0.01994) | > loss_0: 0.28812 (0.33475) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27615 (0.29363) | > G_mse_fake_loss: 0.56614 (0.50962) | > G_feat_match_loss: 0.07924 (0.06628) | > G_gen_loss: 12.42689 (13.21335) | > G_adv_loss: 9.12402 (7.66802) | > loss_1: 21.55091 (20.88138) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04980 (1.05172) | > loader_time: 0.00220 (0.00267)  --> STEP: 274/1391 -- GLOBAL_STEP: 34275 | > D_mse_gan_loss: 0.32810 (0.33412) | > D_mse_gan_real_loss: 0.02298 (0.01428) | > D_mse_gan_fake_loss: 0.00618 (0.02001) | > loss_0: 0.32810 (0.33412) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29348 (0.29309) | > G_mse_fake_loss: 0.51431 (0.51036) | > G_feat_match_loss: 0.06407 (0.06652) | > G_gen_loss: 13.20644 (13.18924) | > G_adv_loss: 7.43337 (7.69485) | > loss_1: 20.63980 (20.88409) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.14540 (1.05288) | > loader_time: 0.00310 (0.00265)  --> STEP: 299/1391 -- GLOBAL_STEP: 34300 | > D_mse_gan_loss: 0.31643 (0.33292) | > D_mse_gan_real_loss: 0.00197 (0.01391) | > D_mse_gan_fake_loss: 0.00162 (0.01944) | > loss_0: 0.31643 (0.33292) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29020 (0.29264) | > G_mse_fake_loss: 0.51429 (0.51233) | > G_feat_match_loss: 0.07592 (0.06686) | > G_gen_loss: 13.05884 (13.16861) | > G_adv_loss: 8.71353 (7.73299) | > loss_1: 21.77238 (20.90159) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.05294) | > loader_time: 0.00220 (0.00261)  --> STEP: 324/1391 -- GLOBAL_STEP: 34325 | > D_mse_gan_loss: 0.32106 (0.33280) | > D_mse_gan_real_loss: 0.00321 (0.01342) | > D_mse_gan_fake_loss: 0.01922 (0.01889) | > loss_0: 0.32106 (0.33280) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29535 (0.29237) | > G_mse_fake_loss: 0.49545 (0.51254) | > G_feat_match_loss: 0.06807 (0.06704) | > G_gen_loss: 13.29056 (13.15683) | > G_adv_loss: 7.84745 (7.75330) | > loss_1: 21.13801 (20.91013) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04640 (1.05263) | > loader_time: 0.00190 (0.00258)  --> STEP: 349/1391 -- GLOBAL_STEP: 34350 | > D_mse_gan_loss: 0.28192 (0.33110) | > D_mse_gan_real_loss: 0.00042 (0.01270) | > D_mse_gan_fake_loss: 0.00017 (0.01798) | > loss_0: 0.28192 (0.33110) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28603 (0.29233) | > G_mse_fake_loss: 0.57893 (0.51417) | > G_feat_match_loss: 0.07892 (0.06751) | > G_gen_loss: 12.87129 (13.15468) | > G_adv_loss: 9.10273 (7.80548) | > loss_1: 21.97401 (20.96017) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05230) | > loader_time: 0.00250 (0.00254)  --> STEP: 374/1391 -- GLOBAL_STEP: 34375 | > D_mse_gan_loss: 0.39882 (0.32985) | > D_mse_gan_real_loss: 0.09961 (0.01233) | > D_mse_gan_fake_loss: 0.01262 (0.01751) | > loss_0: 0.39882 (0.32985) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28862 (0.29197) | > G_mse_fake_loss: 0.47042 (0.51565) | > G_feat_match_loss: 0.04719 (0.06787) | > G_gen_loss: 12.98789 (13.13873) | > G_adv_loss: 5.56677 (7.84595) | > loss_1: 18.55466 (20.98468) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04680 (1.05209) | > loader_time: 0.00200 (0.00252)  --> STEP: 399/1391 -- GLOBAL_STEP: 34400 | > D_mse_gan_loss: 0.35556 (0.32720) | > D_mse_gan_real_loss: 0.00064 (0.01205) | > D_mse_gan_fake_loss: 0.00033 (0.01690) | > loss_0: 0.35556 (0.32720) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28366 (0.29287) | > G_mse_fake_loss: 0.58147 (0.52163) | > G_feat_match_loss: 0.08099 (0.06905) | > G_gen_loss: 12.76481 (13.17909) | > G_adv_loss: 9.32877 (7.97915) | > loss_1: 22.09357 (21.15824) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04900 (1.05179) | > loader_time: 0.00210 (0.00249)  --> STEP: 424/1391 -- GLOBAL_STEP: 34425 | > D_mse_gan_loss: 0.28432 (0.32829) | > D_mse_gan_real_loss: 0.00285 (0.01181) | > D_mse_gan_fake_loss: 0.00010 (0.01675) | > loss_0: 0.28432 (0.32829) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29062 (0.29239) | > G_mse_fake_loss: 0.55430 (0.52126) | > G_feat_match_loss: 0.07420 (0.06905) | > G_gen_loss: 13.07810 (13.15749) | > G_adv_loss: 8.56825 (7.97827) | > loss_1: 21.64635 (21.13576) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05156) | > loader_time: 0.00210 (0.00247)  --> STEP: 449/1391 -- GLOBAL_STEP: 34450 | > D_mse_gan_loss: 0.40376 (0.32831) | > D_mse_gan_real_loss: 0.05252 (0.01213) | > D_mse_gan_fake_loss: 0.14331 (0.01670) | > loss_0: 0.40376 (0.32831) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27400 (0.29226) | > G_mse_fake_loss: 0.45780 (0.52130) | > G_feat_match_loss: 0.06568 (0.06908) | > G_gen_loss: 12.32991 (13.15188) | > G_adv_loss: 7.55172 (7.98202) | > loss_1: 19.88163 (21.13390) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04860 (1.05130) | > loader_time: 0.00220 (0.00245)  --> STEP: 474/1391 -- GLOBAL_STEP: 34475 | > D_mse_gan_loss: 0.29697 (0.32817) | > D_mse_gan_real_loss: 0.00553 (0.01211) | > D_mse_gan_fake_loss: 0.00070 (0.01670) | > loss_0: 0.29697 (0.32817) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.32496 (0.29244) | > G_mse_fake_loss: 0.53777 (0.52104) | > G_feat_match_loss: 0.07507 (0.06902) | > G_gen_loss: 14.62328 (13.15983) | > G_adv_loss: 8.64522 (7.97505) | > loss_1: 23.26849 (21.13489) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.06580 (1.05131) | > loader_time: 0.00220 (0.00243)  --> STEP: 499/1391 -- GLOBAL_STEP: 34500 | > D_mse_gan_loss: 0.42435 (0.32973) | > D_mse_gan_real_loss: 0.04337 (0.01212) | > D_mse_gan_fake_loss: 0.00191 (0.01698) | > loss_0: 0.42435 (0.32973) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27336 (0.29251) | > G_mse_fake_loss: 0.47928 (0.52114) | > G_feat_match_loss: 0.05484 (0.06886) | > G_gen_loss: 12.30105 (13.16310) | > G_adv_loss: 6.40223 (7.95808) | > loss_1: 18.70329 (21.12118) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05320 (1.05152) | > loader_time: 0.00180 (0.00242)  --> STEP: 524/1391 -- GLOBAL_STEP: 34525 | > D_mse_gan_loss: 0.37599 (0.33298) | > D_mse_gan_real_loss: 0.04430 (0.01299) | > D_mse_gan_fake_loss: 0.00588 (0.01805) | > loss_0: 0.37599 (0.33298) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29753 (0.29247) | > G_mse_fake_loss: 0.45404 (0.51596) | > G_feat_match_loss: 0.05142 (0.06786) | > G_gen_loss: 13.38906 (13.16135) | > G_adv_loss: 6.00703 (7.84462) | > loss_1: 19.39609 (21.00597) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04790 (1.05141) | > loader_time: 0.00200 (0.00241)  --> STEP: 549/1391 -- GLOBAL_STEP: 34550 | > D_mse_gan_loss: 0.37361 (0.33452) | > D_mse_gan_real_loss: 0.01232 (0.01345) | > D_mse_gan_fake_loss: 0.03965 (0.01806) | > loss_0: 0.37361 (0.33452) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29216 (0.29266) | > G_mse_fake_loss: 0.45678 (0.51319) | > G_feat_match_loss: 0.05190 (0.06734) | > G_gen_loss: 13.14739 (13.16950) | > G_adv_loss: 6.06241 (7.78553) | > loss_1: 19.20979 (20.95503) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04920 (1.05133) | > loader_time: 0.00200 (0.00240)  --> STEP: 574/1391 -- GLOBAL_STEP: 34575 | > D_mse_gan_loss: 0.36276 (0.33548) | > D_mse_gan_real_loss: 0.02081 (0.01335) | > D_mse_gan_fake_loss: 0.04276 (0.01813) | > loss_0: 0.36276 (0.33548) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28217 (0.29270) | > G_mse_fake_loss: 0.44900 (0.51120) | > G_feat_match_loss: 0.05537 (0.06699) | > G_gen_loss: 12.69762 (13.17160) | > G_adv_loss: 6.42940 (7.74612) | > loss_1: 19.12703 (20.91772) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04940 (1.05128) | > loader_time: 0.00210 (0.00239)  --> STEP: 599/1391 -- GLOBAL_STEP: 34600 | > D_mse_gan_loss: 0.34871 (0.33659) | > D_mse_gan_real_loss: 0.00155 (0.01340) | > D_mse_gan_fake_loss: 0.00645 (0.01816) | > loss_0: 0.34871 (0.33659) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29756 (0.29270) | > G_mse_fake_loss: 0.47104 (0.50933) | > G_feat_match_loss: 0.06337 (0.06664) | > G_gen_loss: 13.38998 (13.17159) | > G_adv_loss: 7.31494 (7.70655) | > loss_1: 20.70492 (20.87814) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04710 (1.05114) | > loader_time: 0.00200 (0.00238)  --> STEP: 624/1391 -- GLOBAL_STEP: 34625 | > D_mse_gan_loss: 0.36556 (0.33754) | > D_mse_gan_real_loss: 0.02203 (0.01327) | > D_mse_gan_fake_loss: 0.00357 (0.01838) | > loss_0: 0.36556 (0.33754) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29520 (0.29258) | > G_mse_fake_loss: 0.47891 (0.50715) | > G_feat_match_loss: 0.05645 (0.06625) | > G_gen_loss: 13.28406 (13.16595) | > G_adv_loss: 6.57559 (7.66244) | > loss_1: 19.85965 (20.82840) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04740 (1.05099) | > loader_time: 0.00190 (0.00238)  --> STEP: 649/1391 -- GLOBAL_STEP: 34650 | > D_mse_gan_loss: 0.37854 (0.33801) | > D_mse_gan_real_loss: 0.01141 (0.01327) | > D_mse_gan_fake_loss: 0.08010 (0.01826) | > loss_0: 0.37854 (0.33801) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29275 (0.29248) | > G_mse_fake_loss: 0.40146 (0.50584) | > G_feat_match_loss: 0.05682 (0.06606) | > G_gen_loss: 13.17388 (13.16155) | > G_adv_loss: 6.53793 (7.64015) | > loss_1: 19.71181 (20.80171) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05030 (1.05087) | > loader_time: 0.00220 (0.00237)  --> STEP: 674/1391 -- GLOBAL_STEP: 34675 | > D_mse_gan_loss: 0.32963 (0.33891) | > D_mse_gan_real_loss: 0.00622 (0.01350) | > D_mse_gan_fake_loss: 0.00143 (0.01855) | > loss_0: 0.32963 (0.33891) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29147 (0.29258) | > G_mse_fake_loss: 0.49848 (0.50423) | > G_feat_match_loss: 0.06343 (0.06576) | > G_gen_loss: 13.11601 (13.16618) | > G_adv_loss: 7.34871 (7.60675) | > loss_1: 20.46472 (20.77293) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.06190 (1.05101) | > loader_time: 0.00240 (0.00236)  --> STEP: 699/1391 -- GLOBAL_STEP: 34700 | > D_mse_gan_loss: 0.41802 (0.34009) | > D_mse_gan_real_loss: 0.01645 (0.01399) | > D_mse_gan_fake_loss: 0.11179 (0.01864) | > loss_0: 0.41802 (0.34009) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29220 (0.29269) | > G_mse_fake_loss: 0.41630 (0.50260) | > G_feat_match_loss: 0.05251 (0.06542) | > G_gen_loss: 13.14913 (13.17113) | > G_adv_loss: 6.08697 (7.56767) | > loss_1: 19.23610 (20.73880) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04970 (1.05120) | > loader_time: 0.00210 (0.00237)  --> STEP: 724/1391 -- GLOBAL_STEP: 34725 | > D_mse_gan_loss: 0.40259 (0.34164) | > D_mse_gan_real_loss: 0.01165 (0.01464) | > D_mse_gan_fake_loss: 0.05241 (0.01967) | > loss_0: 0.40259 (0.34164) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28672 (0.29266) | > G_mse_fake_loss: 0.40694 (0.50009) | > G_feat_match_loss: 0.04990 (0.06495) | > G_gen_loss: 12.90261 (13.16983) | > G_adv_loss: 5.79570 (7.51454) | > loss_1: 18.69831 (20.68436) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05240 (1.05115) | > loader_time: 0.00190 (0.00236)  --> STEP: 749/1391 -- GLOBAL_STEP: 34750 | > D_mse_gan_loss: 0.36668 (0.34245) | > D_mse_gan_real_loss: 0.02519 (0.01478) | > D_mse_gan_fake_loss: 0.07725 (0.01977) | > loss_0: 0.36668 (0.34245) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30494 (0.29281) | > G_mse_fake_loss: 0.45558 (0.49878) | > G_feat_match_loss: 0.05029 (0.06468) | > G_gen_loss: 13.72240 (13.17656) | > G_adv_loss: 5.88652 (7.48409) | > loss_1: 19.60892 (20.66065) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.05114) | > loader_time: 0.00210 (0.00235)  --> STEP: 774/1391 -- GLOBAL_STEP: 34775 | > D_mse_gan_loss: 0.38722 (0.34358) | > D_mse_gan_real_loss: 0.00835 (0.01525) | > D_mse_gan_fake_loss: 0.08372 (0.02023) | > loss_0: 0.38722 (0.34358) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29379 (0.29286) | > G_mse_fake_loss: 0.39053 (0.49693) | > G_feat_match_loss: 0.04990 (0.06431) | > G_gen_loss: 13.22033 (13.17859) | > G_adv_loss: 5.78006 (7.44192) | > loss_1: 19.00038 (20.62051) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05115) | > loader_time: 0.00250 (0.00235)  --> STEP: 799/1391 -- GLOBAL_STEP: 34800 | > D_mse_gan_loss: 0.36084 (0.34416) | > D_mse_gan_real_loss: 0.00232 (0.01528) | > D_mse_gan_fake_loss: 0.00082 (0.02032) | > loss_0: 0.36084 (0.34416) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28839 (0.29284) | > G_mse_fake_loss: 0.46609 (0.49587) | > G_feat_match_loss: 0.06588 (0.06413) | > G_gen_loss: 12.97746 (13.17758) | > G_adv_loss: 7.58099 (7.42173) | > loss_1: 20.55844 (20.59931) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05270 (1.05110) | > loader_time: 0.00190 (0.00234)  --> STEP: 824/1391 -- GLOBAL_STEP: 34825 | > D_mse_gan_loss: 0.30520 (0.34281) | > D_mse_gan_real_loss: 0.00214 (0.01502) | > D_mse_gan_fake_loss: 0.00026 (0.01988) | > loss_0: 0.30520 (0.34281) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.32851 (0.29330) | > G_mse_fake_loss: 0.78506 (0.49856) | > G_feat_match_loss: 0.09452 (0.06461) | > G_gen_loss: 14.78309 (13.19843) | > G_adv_loss: 10.99317 (7.47611) | > loss_1: 25.77626 (20.67454) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04600 (1.05104) | > loader_time: 0.00220 (0.00234)  --> STEP: 849/1391 -- GLOBAL_STEP: 34850 | > D_mse_gan_loss: 0.41021 (0.34339) | > D_mse_gan_real_loss: 0.00617 (0.01464) | > D_mse_gan_fake_loss: 0.00026 (0.01944) | > loss_0: 0.41021 (0.34339) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.32929 (0.29357) | > G_mse_fake_loss: 0.42047 (0.49874) | > G_feat_match_loss: 0.04246 (0.06460) | > G_gen_loss: 14.81795 (13.21086) | > G_adv_loss: 5.00578 (7.47561) | > loss_1: 19.82373 (20.68646) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04940 (1.05094) | > loader_time: 0.00210 (0.00234)  --> STEP: 874/1391 -- GLOBAL_STEP: 34875 | > D_mse_gan_loss: 0.40326 (0.34420) | > D_mse_gan_real_loss: 0.01739 (0.01475) | > D_mse_gan_fake_loss: 0.07180 (0.01974) | > loss_0: 0.40326 (0.34420) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29316 (0.29350) | > G_mse_fake_loss: 0.37257 (0.49720) | > G_feat_match_loss: 0.04058 (0.06432) | > G_gen_loss: 13.19214 (13.20743) | > G_adv_loss: 4.75526 (7.44333) | > loss_1: 17.94740 (20.65076) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04890 (1.05091) | > loader_time: 0.00210 (0.00234)  --> STEP: 899/1391 -- GLOBAL_STEP: 34900 | > D_mse_gan_loss: 0.32430 (0.34486) | > D_mse_gan_real_loss: 0.00250 (0.01508) | > D_mse_gan_fake_loss: 0.00033 (0.01994) | > loss_0: 0.32430 (0.34486) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28597 (0.29362) | > G_mse_fake_loss: 0.49135 (0.49615) | > G_feat_match_loss: 0.06705 (0.06410) | > G_gen_loss: 12.86872 (13.21285) | > G_adv_loss: 7.73264 (7.41886) | > loss_1: 20.60137 (20.63171) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04960 (1.05126) | > loader_time: 0.00190 (0.00234)  --> STEP: 924/1391 -- GLOBAL_STEP: 34925 | > D_mse_gan_loss: 0.35992 (0.34576) | > D_mse_gan_real_loss: 0.00794 (0.01548) | > D_mse_gan_fake_loss: 0.02037 (0.02062) | > loss_0: 0.35992 (0.34576) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29831 (0.29375) | > G_mse_fake_loss: 0.45955 (0.49477) | > G_feat_match_loss: 0.05759 (0.06386) | > G_gen_loss: 13.42392 (13.21878) | > G_adv_loss: 6.67895 (7.39159) | > loss_1: 20.10287 (20.61037) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04300 (1.05116) | > loader_time: 0.00190 (0.00234)  --> STEP: 949/1391 -- GLOBAL_STEP: 34950 | > D_mse_gan_loss: 0.30926 (0.34601) | > D_mse_gan_real_loss: 0.00097 (0.01549) | > D_mse_gan_fake_loss: 0.00004 (0.02053) | > loss_0: 0.30926 (0.34601) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28331 (0.29386) | > G_mse_fake_loss: 0.56614 (0.49450) | > G_feat_match_loss: 0.07552 (0.06378) | > G_gen_loss: 12.74892 (13.22383) | > G_adv_loss: 8.72179 (7.38294) | > loss_1: 21.47071 (20.60678) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05330 (1.05109) | > loader_time: 0.00200 (0.00233)  --> STEP: 974/1391 -- GLOBAL_STEP: 34975 | > D_mse_gan_loss: 0.33454 (0.34576) | > D_mse_gan_real_loss: 0.00149 (0.01525) | > D_mse_gan_fake_loss: 0.00015 (0.02025) | > loss_0: 0.33454 (0.34576) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28923 (0.29396) | > G_mse_fake_loss: 0.51088 (0.49515) | > G_feat_match_loss: 0.07791 (0.06392) | > G_gen_loss: 13.01516 (13.22810) | > G_adv_loss: 8.92558 (7.39848) | > loss_1: 21.94074 (20.62658) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05220 (1.05105) | > loader_time: 0.00230 (0.00233)  --> STEP: 999/1391 -- GLOBAL_STEP: 35000 | > D_mse_gan_loss: 0.33513 (0.34553) | > D_mse_gan_real_loss: 0.00175 (0.01492) | > D_mse_gan_fake_loss: 0.00008 (0.01996) | > loss_0: 0.33513 (0.34553) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28751 (0.29414) | > G_mse_fake_loss: 0.57241 (0.49575) | > G_feat_match_loss: 0.07765 (0.06407) | > G_gen_loss: 12.93808 (13.23626) | > G_adv_loss: 8.95876 (7.41565) | > loss_1: 21.89685 (20.65191) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05170 (1.05103) | > loader_time: 0.00220 (0.00233) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_35000.pth  --> STEP: 1024/1391 -- GLOBAL_STEP: 35025 | > D_mse_gan_loss: 0.25141 (0.34460) | > D_mse_gan_real_loss: 0.00726 (0.01463) | > D_mse_gan_fake_loss: 0.00012 (0.01971) | > loss_0: 0.25141 (0.34460) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29245 (0.29419) | > G_mse_fake_loss: 0.59034 (0.49692) | > G_feat_match_loss: 0.08228 (0.06433) | > G_gen_loss: 13.16020 (13.23842) | > G_adv_loss: 9.47626 (7.44489) | > loss_1: 22.63646 (20.68331) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05080 (1.05104) | > loader_time: 0.00280 (0.00232)  --> STEP: 1049/1391 -- GLOBAL_STEP: 35050 | > D_mse_gan_loss: 0.36571 (0.34463) | > D_mse_gan_real_loss: 0.05394 (0.01454) | > D_mse_gan_fake_loss: 0.01919 (0.01964) | > loss_0: 0.36571 (0.34463) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30217 (0.29408) | > G_mse_fake_loss: 0.48483 (0.49730) | > G_feat_match_loss: 0.05818 (0.06440) | > G_gen_loss: 13.59758 (13.23364) | > G_adv_loss: 6.76837 (7.45297) | > loss_1: 20.36595 (20.68661) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05060 (1.05108) | > loader_time: 0.00230 (0.00232)  --> STEP: 1074/1391 -- GLOBAL_STEP: 35075 | > D_mse_gan_loss: 0.38382 (0.34440) | > D_mse_gan_real_loss: 0.00895 (0.01438) | > D_mse_gan_fake_loss: 0.02517 (0.01953) | > loss_0: 0.38382 (0.34440) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28921 (0.29408) | > G_mse_fake_loss: 0.44365 (0.49756) | > G_feat_match_loss: 0.05361 (0.06447) | > G_gen_loss: 13.01429 (13.23368) | > G_adv_loss: 6.23361 (7.46077) | > loss_1: 19.24790 (20.69444) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.08280 (1.05107) | > loader_time: 0.00220 (0.00232)  --> STEP: 1099/1391 -- GLOBAL_STEP: 35100 | > D_mse_gan_loss: 0.34473 (0.34433) | > D_mse_gan_real_loss: 0.00049 (0.01454) | > D_mse_gan_fake_loss: 0.00535 (0.01949) | > loss_0: 0.34473 (0.34433) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27709 (0.29410) | > G_mse_fake_loss: 0.47218 (0.49760) | > G_feat_match_loss: 0.06881 (0.06449) | > G_gen_loss: 12.46904 (13.23468) | > G_adv_loss: 7.90359 (7.46283) | > loss_1: 20.37263 (20.69751) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05360 (1.05129) | > loader_time: 0.00220 (0.00233)  --> STEP: 1124/1391 -- GLOBAL_STEP: 35125 | > D_mse_gan_loss: 0.34901 (0.34396) | > D_mse_gan_real_loss: 0.00541 (0.01446) | > D_mse_gan_fake_loss: 0.04268 (0.01942) | > loss_0: 0.34901 (0.34396) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28595 (0.29399) | > G_mse_fake_loss: 0.47494 (0.49812) | > G_feat_match_loss: 0.05970 (0.06457) | > G_gen_loss: 12.86760 (13.22973) | > G_adv_loss: 6.92231 (7.47144) | > loss_1: 19.78990 (20.70117) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04990 (1.05122) | > loader_time: 0.00270 (0.00233)  --> STEP: 1149/1391 -- GLOBAL_STEP: 35150 | > D_mse_gan_loss: 0.38424 (0.34403) | > D_mse_gan_real_loss: 0.01486 (0.01446) | > D_mse_gan_fake_loss: 0.09054 (0.01943) | > loss_0: 0.38424 (0.34403) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28494 (0.29385) | > G_mse_fake_loss: 0.41569 (0.49833) | > G_feat_match_loss: 0.05651 (0.06460) | > G_gen_loss: 12.82237 (13.22347) | > G_adv_loss: 6.51890 (7.47543) | > loss_1: 19.34128 (20.69890) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04560 (1.05116) | > loader_time: 0.00210 (0.00233)  --> STEP: 1174/1391 -- GLOBAL_STEP: 35175 | > D_mse_gan_loss: 0.28830 (0.34388) | > D_mse_gan_real_loss: 0.00286 (0.01450) | > D_mse_gan_fake_loss: 0.00062 (0.01938) | > loss_0: 0.28830 (0.34388) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29681 (0.29380) | > G_mse_fake_loss: 0.53063 (0.49855) | > G_feat_match_loss: 0.07501 (0.06463) | > G_gen_loss: 13.35634 (13.22110) | > G_adv_loss: 8.63148 (7.47859) | > loss_1: 21.98782 (20.69969) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04920 (1.05114) | > loader_time: 0.00210 (0.00233)  --> STEP: 1199/1391 -- GLOBAL_STEP: 35200 | > D_mse_gan_loss: 0.45340 (0.34378) | > D_mse_gan_real_loss: 0.00259 (0.01440) | > D_mse_gan_fake_loss: 0.15544 (0.01964) | > loss_0: 0.45340 (0.34378) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30712 (0.29383) | > G_mse_fake_loss: 0.36610 (0.49882) | > G_feat_match_loss: 0.04727 (0.06470) | > G_gen_loss: 13.82045 (13.22213) | > G_adv_loss: 5.47130 (7.48610) | > loss_1: 19.29175 (20.70823) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04980 (1.05112) | > loader_time: 0.00190 (0.00233)  --> STEP: 1224/1391 -- GLOBAL_STEP: 35225 | > D_mse_gan_loss: 0.32028 (0.34387) | > D_mse_gan_real_loss: 0.01675 (0.01442) | > D_mse_gan_fake_loss: 0.00557 (0.01954) | > loss_0: 0.32028 (0.34387) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28963 (0.29380) | > G_mse_fake_loss: 0.55008 (0.49890) | > G_feat_match_loss: 0.07394 (0.06468) | > G_gen_loss: 13.03320 (13.22105) | > G_adv_loss: 8.53529 (7.48411) | > loss_1: 21.56849 (20.70515) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04870 (1.05108) | > loader_time: 0.00250 (0.00233)  --> STEP: 1249/1391 -- GLOBAL_STEP: 35250 | > D_mse_gan_loss: 0.36655 (0.34446) | > D_mse_gan_real_loss: 0.04255 (0.01496) | > D_mse_gan_fake_loss: 0.06948 (0.02026) | > loss_0: 0.36655 (0.34446) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30010 (0.29377) | > G_mse_fake_loss: 0.46641 (0.49805) | > G_feat_match_loss: 0.06191 (0.06449) | > G_gen_loss: 13.50453 (13.21980) | > G_adv_loss: 7.15266 (7.46350) | > loss_1: 20.65719 (20.68330) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04940 (1.05108) | > loader_time: 0.00260 (0.00233)  --> STEP: 1274/1391 -- GLOBAL_STEP: 35275 | > D_mse_gan_loss: 0.36334 (0.34420) | > D_mse_gan_real_loss: 0.06506 (0.01510) | > D_mse_gan_fake_loss: 0.00025 (0.02027) | > loss_0: 0.36334 (0.34420) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30120 (0.29374) | > G_mse_fake_loss: 0.52332 (0.49845) | > G_feat_match_loss: 0.06625 (0.06457) | > G_gen_loss: 13.55390 (13.21852) | > G_adv_loss: 7.67805 (7.47164) | > loss_1: 21.23195 (20.69016) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04660 (1.05105) | > loader_time: 0.00220 (0.00232)  --> STEP: 1299/1391 -- GLOBAL_STEP: 35300 | > D_mse_gan_loss: 0.29941 (0.34369) | > D_mse_gan_real_loss: 0.00122 (0.01499) | > D_mse_gan_fake_loss: 0.00004 (0.02017) | > loss_0: 0.29941 (0.34369) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27965 (0.29365) | > G_mse_fake_loss: 0.53117 (0.49910) | > G_feat_match_loss: 0.07510 (0.06472) | > G_gen_loss: 12.58408 (13.21418) | > G_adv_loss: 8.64188 (7.48874) | > loss_1: 21.22596 (20.70292) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05040 (1.05127) | > loader_time: 0.00220 (0.00234)  --> STEP: 1324/1391 -- GLOBAL_STEP: 35325 | > D_mse_gan_loss: 0.30035 (0.34350) | > D_mse_gan_real_loss: 0.00562 (0.01495) | > D_mse_gan_fake_loss: 0.00006 (0.02019) | > loss_0: 0.30035 (0.34350) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29340 (0.29353) | > G_mse_fake_loss: 0.54020 (0.49931) | > G_feat_match_loss: 0.07882 (0.06476) | > G_gen_loss: 13.20282 (13.20869) | > G_adv_loss: 9.05287 (7.49362) | > loss_1: 22.25569 (20.70231) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04830 (1.05125) | > loader_time: 0.00250 (0.00233)  --> STEP: 1349/1391 -- GLOBAL_STEP: 35350 | > D_mse_gan_loss: 0.41925 (0.34353) | > D_mse_gan_real_loss: 0.01590 (0.01506) | > D_mse_gan_fake_loss: 0.06829 (0.02054) | > loss_0: 0.41925 (0.34353) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30095 (0.29339) | > G_mse_fake_loss: 0.43476 (0.49941) | > G_feat_match_loss: 0.05730 (0.06480) | > G_gen_loss: 13.54266 (13.20266) | > G_adv_loss: 6.62267 (7.49773) | > loss_1: 20.16533 (20.70039) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04830 (1.05124) | > loader_time: 0.00230 (0.00233)  --> STEP: 1374/1391 -- GLOBAL_STEP: 35375 | > D_mse_gan_loss: 0.33579 (0.34389) | > D_mse_gan_real_loss: 0.02199 (0.01531) | > D_mse_gan_fake_loss: 0.00003 (0.02084) | > loss_0: 0.33579 (0.34389) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31504 (0.29335) | > G_mse_fake_loss: 0.53332 (0.49893) | > G_feat_match_loss: 0.06459 (0.06466) | > G_gen_loss: 14.17695 (13.20072) | > G_adv_loss: 7.50864 (7.48274) | > loss_1: 21.68559 (20.68346) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05080 (1.05122) | > loader_time: 0.00210 (0.00233)  > EVALUATION  --> EVAL PERFORMANCE | > avg_loader_time: 0.00234 (+0.00000) | > avg_D_mse_gan_loss: 0.31448 (+0.00000) | > avg_D_mse_gan_real_loss: 0.00501 (+0.00000) | > avg_D_mse_gan_fake_loss: 0.00021 (+0.00000) | > avg_loss_0: 0.31448 (+0.00000) | > avg_G_l1_spec_loss: 0.33486 (+0.00000) | > avg_G_mse_fake_loss: 0.57056 (+0.00000) | > avg_G_feat_match_loss: 0.07795 (+0.00000) | > avg_G_gen_loss: 15.06848 (+0.00000) | > avg_G_adv_loss: 8.98894 (+0.00000) | > avg_loss_1: 24.05742 (+0.00000)  > EPOCH: 1/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 04:57:36)   --> STEP: 8/1391 -- GLOBAL_STEP: 35400 | > D_mse_gan_loss: 0.26718 (0.28436) | > D_mse_gan_real_loss: 0.00062 (0.00316) | > D_mse_gan_fake_loss: 0.00006 (0.00008) | > loss_0: 0.26718 (0.28436) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28700 (0.29762) | > G_mse_fake_loss: 0.58165 (0.57920) | > G_feat_match_loss: 0.08586 (0.08460) | > G_gen_loss: 12.91517 (13.39295) | > G_adv_loss: 9.85450 (9.71642) | > loss_1: 22.76968 (23.10936) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04990 (1.04758) | > loader_time: 0.00200 (0.00213)  --> STEP: 33/1391 -- GLOBAL_STEP: 35425 | > D_mse_gan_loss: 0.29054 (0.30959) | > D_mse_gan_real_loss: 0.00497 (0.00277) | > D_mse_gan_fake_loss: 0.00010 (0.00603) | > loss_0: 0.29054 (0.30959) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28852 (0.29303) | > G_mse_fake_loss: 0.59122 (0.54324) | > G_feat_match_loss: 0.07523 (0.07551) | > G_gen_loss: 12.98350 (13.18657) | > G_adv_loss: 8.71651 (8.69784) | > loss_1: 21.70000 (21.88441) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05170 (1.05187) | > loader_time: 0.00210 (0.00242)  --> STEP: 58/1391 -- GLOBAL_STEP: 35450 | > D_mse_gan_loss: 0.31703 (0.31480) | > D_mse_gan_real_loss: 0.00061 (0.00471) | > D_mse_gan_fake_loss: 0.01338 (0.00652) | > loss_0: 0.31703 (0.31480) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27917 (0.28870) | > G_mse_fake_loss: 0.50758 (0.53728) | > G_feat_match_loss: 0.07034 (0.07416) | > G_gen_loss: 12.56268 (12.99166) | > G_adv_loss: 8.10452 (8.54624) | > loss_1: 20.66720 (21.53790) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04630 (1.05082) | > loader_time: 0.00250 (0.00228)  --> STEP: 83/1391 -- GLOBAL_STEP: 35475 | > D_mse_gan_loss: 0.41913 (0.32295) | > D_mse_gan_real_loss: 0.05996 (0.00608) | > D_mse_gan_fake_loss: 0.01898 (0.01364) | > loss_0: 0.41913 (0.32295) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28142 (0.28620) | > G_mse_fake_loss: 0.56757 (0.52721) | > G_feat_match_loss: 0.05910 (0.07144) | > G_gen_loss: 12.66409 (12.87880) | > G_adv_loss: 6.95003 (8.24292) | > loss_1: 19.61412 (21.12172) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.07110 (1.05018) | > loader_time: 0.00280 (0.00229)  --> STEP: 108/1391 -- GLOBAL_STEP: 35500 | > D_mse_gan_loss: 0.33641 (0.32578) | > D_mse_gan_real_loss: 0.00207 (0.00688) | > D_mse_gan_fake_loss: 0.00004 (0.01220) | > loss_0: 0.33641 (0.32578) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30044 (0.28700) | > G_mse_fake_loss: 0.48906 (0.52517) | > G_feat_match_loss: 0.06970 (0.07093) | > G_gen_loss: 13.51997 (12.91504) | > G_adv_loss: 8.01714 (8.18530) | > loss_1: 21.53711 (21.10034) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04690 (1.05242) | > loader_time: 0.00240 (0.00245)  --> STEP: 133/1391 -- GLOBAL_STEP: 35525 | > D_mse_gan_loss: 0.35014 (0.32507) | > D_mse_gan_real_loss: 0.00072 (0.00726) | > D_mse_gan_fake_loss: 0.07291 (0.01289) | > loss_0: 0.35014 (0.32507) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26877 (0.28750) | > G_mse_fake_loss: 0.46378 (0.52651) | > G_feat_match_loss: 0.06963 (0.07139) | > G_gen_loss: 12.09476 (12.93738) | > G_adv_loss: 7.98403 (8.23632) | > loss_1: 20.07879 (21.17370) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04790 (1.05149) | > loader_time: 0.00200 (0.00251)  --> STEP: 158/1391 -- GLOBAL_STEP: 35550 | > D_mse_gan_loss: 0.27537 (0.32318) | > D_mse_gan_real_loss: 0.00051 (0.00749) | > D_mse_gan_fake_loss: 0.00002 (0.01224) | > loss_0: 0.27537 (0.32318) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29286 (0.28742) | > G_mse_fake_loss: 0.54808 (0.52702) | > G_feat_match_loss: 0.08195 (0.07160) | > G_gen_loss: 13.17873 (12.93374) | > G_adv_loss: 9.39817 (8.25994) | > loss_1: 22.57690 (21.19368) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04860 (1.05123) | > loader_time: 0.00240 (0.00246)  --> STEP: 183/1391 -- GLOBAL_STEP: 35575 | > D_mse_gan_loss: 0.32933 (0.32316) | > D_mse_gan_real_loss: 0.01734 (0.00715) | > D_mse_gan_fake_loss: 0.01301 (0.01221) | > loss_0: 0.32933 (0.32316) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30168 (0.28671) | > G_mse_fake_loss: 0.49895 (0.52775) | > G_feat_match_loss: 0.06704 (0.07191) | > G_gen_loss: 13.57559 (12.90188) | > G_adv_loss: 7.73967 (8.29378) | > loss_1: 21.31525 (21.19566) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05050 (1.05089) | > loader_time: 0.00190 (0.00243)  --> STEP: 208/1391 -- GLOBAL_STEP: 35600 | > D_mse_gan_loss: 0.28239 (0.32523) | > D_mse_gan_real_loss: 0.00548 (0.00989) | > D_mse_gan_fake_loss: 0.00011 (0.01411) | > loss_0: 0.28239 (0.32523) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27310 (0.28675) | > G_mse_fake_loss: 0.55543 (0.52699) | > G_feat_match_loss: 0.08041 (0.07149) | > G_gen_loss: 12.28957 (12.90382) | > G_adv_loss: 9.23963 (8.24771) | > loss_1: 21.52920 (21.15153) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04970 (1.05071) | > loader_time: 0.00230 (0.00240)  --> STEP: 233/1391 -- GLOBAL_STEP: 35625 | > D_mse_gan_loss: 0.30156 (0.32433) | > D_mse_gan_real_loss: 0.00531 (0.00908) | > D_mse_gan_fake_loss: 0.00003 (0.01398) | > loss_0: 0.30156 (0.32433) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27763 (0.28622) | > G_mse_fake_loss: 0.55351 (0.52727) | > G_feat_match_loss: 0.07972 (0.07164) | > G_gen_loss: 12.49354 (12.87997) | > G_adv_loss: 9.16335 (8.26472) | > loss_1: 21.65689 (21.14469) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04890 (1.05056) | > loader_time: 0.00220 (0.00238)  --> STEP: 258/1391 -- GLOBAL_STEP: 35650 | > D_mse_gan_loss: 0.26672 (0.32527) | > D_mse_gan_real_loss: 0.00243 (0.01008) | > D_mse_gan_fake_loss: 0.00005 (0.01387) | > loss_0: 0.26672 (0.32527) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30965 (0.28628) | > G_mse_fake_loss: 0.64379 (0.52732) | > G_feat_match_loss: 0.08363 (0.07149) | > G_gen_loss: 13.93407 (12.88275) | > G_adv_loss: 9.67536 (8.24848) | > loss_1: 23.60943 (21.13123) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04730 (1.05052) | > loader_time: 0.00200 (0.00236)  --> STEP: 283/1391 -- GLOBAL_STEP: 35675 | > D_mse_gan_loss: 0.32354 (0.32556) | > D_mse_gan_real_loss: 0.00394 (0.01053) | > D_mse_gan_fake_loss: 0.05164 (0.01510) | > loss_0: 0.32354 (0.32556) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28499 (0.28635) | > G_mse_fake_loss: 0.49655 (0.52674) | > G_feat_match_loss: 0.06826 (0.07138) | > G_gen_loss: 12.82435 (12.88575) | > G_adv_loss: 7.86893 (8.23544) | > loss_1: 20.69327 (21.12118) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.13390 (1.05077) | > loader_time: 0.00450 (0.00236)  --> STEP: 308/1391 -- GLOBAL_STEP: 35700 | > D_mse_gan_loss: 0.33892 (0.32546) | > D_mse_gan_real_loss: 0.00264 (0.01067) | > D_mse_gan_fake_loss: 0.00910 (0.01512) | > loss_0: 0.33892 (0.32546) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31235 (0.28674) | > G_mse_fake_loss: 0.48149 (0.52624) | > G_feat_match_loss: 0.06397 (0.07120) | > G_gen_loss: 14.05557 (12.90343) | > G_adv_loss: 7.38991 (8.21624) | > loss_1: 21.44548 (21.11967) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04340 (1.05204) | > loader_time: 0.00200 (0.00239)  --> STEP: 333/1391 -- GLOBAL_STEP: 35725 | > D_mse_gan_loss: 0.33665 (0.32653) | > D_mse_gan_real_loss: 0.04183 (0.01192) | > D_mse_gan_fake_loss: 0.01751 (0.01625) | > loss_0: 0.33665 (0.32653) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29045 (0.28679) | > G_mse_fake_loss: 0.54678 (0.52502) | > G_feat_match_loss: 0.07078 (0.07081) | > G_gen_loss: 13.07040 (12.90554) | > G_adv_loss: 8.19110 (8.17296) | > loss_1: 21.26151 (21.07850) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05080 (1.05192) | > loader_time: 0.00190 (0.00239)  --> STEP: 358/1391 -- GLOBAL_STEP: 35750 | > D_mse_gan_loss: 0.30747 (0.32678) | > D_mse_gan_real_loss: 0.01048 (0.01226) | > D_mse_gan_fake_loss: 0.00762 (0.01671) | > loss_0: 0.30747 (0.32678) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27982 (0.28672) | > G_mse_fake_loss: 0.53957 (0.52438) | > G_feat_match_loss: 0.07427 (0.07071) | > G_gen_loss: 12.59191 (12.90240) | > G_adv_loss: 8.56050 (8.16055) | > loss_1: 21.15242 (21.06295) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.05189) | > loader_time: 0.00220 (0.00238)  --> STEP: 383/1391 -- GLOBAL_STEP: 35775 | > D_mse_gan_loss: 0.31738 (0.32672) | > D_mse_gan_real_loss: 0.01824 (0.01217) | > D_mse_gan_fake_loss: 0.00212 (0.01717) | > loss_0: 0.31738 (0.32672) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28855 (0.28652) | > G_mse_fake_loss: 0.53869 (0.52448) | > G_feat_match_loss: 0.06724 (0.07076) | > G_gen_loss: 12.98497 (12.89361) | > G_adv_loss: 7.80079 (8.16660) | > loss_1: 20.78576 (21.06021) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04790 (1.05179) | > loader_time: 0.00250 (0.00239)  --> STEP: 408/1391 -- GLOBAL_STEP: 35800 | > D_mse_gan_loss: 0.34630 (0.32829) | > D_mse_gan_real_loss: 0.00045 (0.01268) | > D_mse_gan_fake_loss: 0.00015 (0.01694) | > loss_0: 0.34630 (0.32829) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27386 (0.28661) | > G_mse_fake_loss: 0.54766 (0.52300) | > G_feat_match_loss: 0.07460 (0.07041) | > G_gen_loss: 12.32353 (12.89761) | > G_adv_loss: 8.60400 (8.12682) | > loss_1: 20.92754 (21.02443) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05880 (1.05173) | > loader_time: 0.00230 (0.00239)  --> STEP: 433/1391 -- GLOBAL_STEP: 35825 | > D_mse_gan_loss: 0.34191 (0.32894) | > D_mse_gan_real_loss: 0.01941 (0.01261) | > D_mse_gan_fake_loss: 0.00009 (0.01718) | > loss_0: 0.34191 (0.32894) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27747 (0.28651) | > G_mse_fake_loss: 0.59489 (0.52314) | > G_feat_match_loss: 0.06634 (0.07037) | > G_gen_loss: 12.48636 (12.89303) | > G_adv_loss: 7.75937 (8.12327) | > loss_1: 20.24573 (21.01630) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04800 (1.05170) | > loader_time: 0.00230 (0.00240)  --> STEP: 458/1391 -- GLOBAL_STEP: 35850 | > D_mse_gan_loss: 0.30031 (0.32827) | > D_mse_gan_real_loss: 0.00138 (0.01260) | > D_mse_gan_fake_loss: 0.00361 (0.01715) | > loss_0: 0.30031 (0.32827) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28020 (0.28652) | > G_mse_fake_loss: 0.52921 (0.52352) | > G_feat_match_loss: 0.07171 (0.07045) | > G_gen_loss: 12.60887 (12.89335) | > G_adv_loss: 8.27381 (8.13241) | > loss_1: 20.88268 (21.02577) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05230 (1.05165) | > loader_time: 0.00210 (0.00239)  --> STEP: 483/1391 -- GLOBAL_STEP: 35875 | > D_mse_gan_loss: 0.33037 (0.32745) | > D_mse_gan_real_loss: 0.01063 (0.01217) | > D_mse_gan_fake_loss: 0.00757 (0.01673) | > loss_0: 0.33037 (0.32745) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29899 (0.28641) | > G_mse_fake_loss: 0.50063 (0.52387) | > G_feat_match_loss: 0.06386 (0.07057) | > G_gen_loss: 13.45462 (12.88853) | > G_adv_loss: 7.39711 (8.14550) | > loss_1: 20.85173 (21.03402) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05030 (1.05167) | > loader_time: 0.00270 (0.00239)  --> STEP: 508/1391 -- GLOBAL_STEP: 35900 | > D_mse_gan_loss: 0.32004 (0.32681) | > D_mse_gan_real_loss: 0.02167 (0.01193) | > D_mse_gan_fake_loss: 0.01111 (0.01624) | > loss_0: 0.32004 (0.32681) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28260 (0.28657) | > G_mse_fake_loss: 0.51620 (0.52433) | > G_feat_match_loss: 0.06527 (0.07062) | > G_gen_loss: 12.71708 (12.89564) | > G_adv_loss: 7.56559 (8.15128) | > loss_1: 20.28267 (21.04691) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05750 (1.05265) | > loader_time: 0.00260 (0.00244)  --> STEP: 533/1391 -- GLOBAL_STEP: 35925 | > D_mse_gan_loss: 0.29566 (0.32638) | > D_mse_gan_real_loss: 0.00165 (0.01195) | > D_mse_gan_fake_loss: 0.00014 (0.01623) | > loss_0: 0.29566 (0.32638) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27439 (0.28665) | > G_mse_fake_loss: 0.57685 (0.52530) | > G_feat_match_loss: 0.08023 (0.07076) | > G_gen_loss: 12.34753 (12.89905) | > G_adv_loss: 9.24127 (8.16754) | > loss_1: 21.58880 (21.06658) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04650 (1.05257) | > loader_time: 0.00210 (0.00243)  --> STEP: 558/1391 -- GLOBAL_STEP: 35950 | > D_mse_gan_loss: 0.33790 (0.32634) | > D_mse_gan_real_loss: 0.00188 (0.01155) | > D_mse_gan_fake_loss: 0.00395 (0.01593) | > loss_0: 0.33790 (0.32634) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30605 (0.28657) | > G_mse_fake_loss: 0.51221 (0.52506) | > G_feat_match_loss: 0.06682 (0.07079) | > G_gen_loss: 13.77244 (12.89556) | > G_adv_loss: 7.72925 (8.17083) | > loss_1: 21.50169 (21.06638) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05230 (1.05240) | > loader_time: 0.00270 (0.00243)  --> STEP: 583/1391 -- GLOBAL_STEP: 35975 | > D_mse_gan_loss: 0.31688 (0.32665) | > D_mse_gan_real_loss: 0.01026 (0.01175) | > D_mse_gan_fake_loss: 0.02304 (0.01635) | > loss_0: 0.31688 (0.32665) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29375 (0.28654) | > G_mse_fake_loss: 0.50060 (0.52467) | > G_feat_match_loss: 0.06581 (0.07068) | > G_gen_loss: 13.21891 (12.89439) | > G_adv_loss: 7.60818 (8.15839) | > loss_1: 20.82709 (21.05278) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05210 (1.05228) | > loader_time: 0.00190 (0.00242)  --> STEP: 608/1391 -- GLOBAL_STEP: 36000 | > D_mse_gan_loss: 0.38132 (0.32685) | > D_mse_gan_real_loss: 0.01950 (0.01228) | > D_mse_gan_fake_loss: 0.09517 (0.01687) | > loss_0: 0.38132 (0.32685) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27708 (0.28625) | > G_mse_fake_loss: 0.45980 (0.52444) | > G_feat_match_loss: 0.05228 (0.07062) | > G_gen_loss: 12.46843 (12.88138) | > G_adv_loss: 6.10598 (8.15167) | > loss_1: 18.57441 (21.03305) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04570 (1.05212) | > loader_time: 0.00250 (0.00241) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_36000.pth  --> STEP: 633/1391 -- GLOBAL_STEP: 36025 | > D_mse_gan_loss: 0.34722 (0.32679) | > D_mse_gan_real_loss: 0.01086 (0.01215) | > D_mse_gan_fake_loss: 0.07025 (0.01690) | > loss_0: 0.34722 (0.32679) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29525 (0.28613) | > G_mse_fake_loss: 0.49746 (0.52407) | > G_feat_match_loss: 0.06031 (0.07054) | > G_gen_loss: 13.28631 (12.87591) | > G_adv_loss: 7.01118 (8.14271) | > loss_1: 20.29749 (21.01862) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05470 (1.05210) | > loader_time: 0.00190 (0.00241)  --> STEP: 658/1391 -- GLOBAL_STEP: 36050 | > D_mse_gan_loss: 0.29434 (0.32654) | > D_mse_gan_real_loss: 0.00337 (0.01225) | > D_mse_gan_fake_loss: 0.00004 (0.01676) | > loss_0: 0.29434 (0.32654) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28661 (0.28602) | > G_mse_fake_loss: 0.57192 (0.52472) | > G_feat_match_loss: 0.08265 (0.07068) | > G_gen_loss: 12.89728 (12.87075) | > G_adv_loss: 9.49863 (8.15770) | > loss_1: 22.39591 (21.02845) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04680 (1.05213) | > loader_time: 0.00190 (0.00240)  --> STEP: 683/1391 -- GLOBAL_STEP: 36075 | > D_mse_gan_loss: 0.30157 (0.32643) | > D_mse_gan_real_loss: 0.00091 (0.01230) | > D_mse_gan_fake_loss: 0.00003 (0.01647) | > loss_0: 0.30157 (0.32643) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28027 (0.28599) | > G_mse_fake_loss: 0.55940 (0.52502) | > G_feat_match_loss: 0.08120 (0.07077) | > G_gen_loss: 12.61233 (12.86962) | > G_adv_loss: 9.32935 (8.16855) | > loss_1: 21.94168 (21.03818) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04870 (1.05197) | > loader_time: 0.00180 (0.00240)  --> STEP: 708/1391 -- GLOBAL_STEP: 36100 | > D_mse_gan_loss: 0.24941 (0.32672) | > D_mse_gan_real_loss: 0.00035 (0.01254) | > D_mse_gan_fake_loss: 0.00029 (0.01693) | > loss_0: 0.24941 (0.32672) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29601 (0.28604) | > G_mse_fake_loss: 0.61712 (0.52517) | > G_feat_match_loss: 0.09664 (0.07072) | > G_gen_loss: 13.32057 (12.87175) | > G_adv_loss: 11.05427 (8.16274) | > loss_1: 24.37484 (21.03449) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05110 (1.05243) | > loader_time: 0.00210 (0.00241)  --> STEP: 733/1391 -- GLOBAL_STEP: 36125 | > D_mse_gan_loss: 0.30458 (0.32554) | > D_mse_gan_real_loss: 0.00037 (0.01214) | > D_mse_gan_fake_loss: 0.00013 (0.01641) | > loss_0: 0.30458 (0.32554) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26055 (0.28613) | > G_mse_fake_loss: 0.53758 (0.52711) | > G_feat_match_loss: 0.07309 (0.07121) | > G_gen_loss: 11.72492 (12.87584) | > G_adv_loss: 8.43170 (8.21790) | > loss_1: 20.15662 (21.09373) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05170 (1.05239) | > loader_time: 0.00230 (0.00240)  --> STEP: 758/1391 -- GLOBAL_STEP: 36150 | > D_mse_gan_loss: 0.28859 (0.32515) | > D_mse_gan_real_loss: 0.00078 (0.01185) | > D_mse_gan_fake_loss: 0.00008 (0.01621) | > loss_0: 0.28859 (0.32515) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29076 (0.28602) | > G_mse_fake_loss: 0.57269 (0.52716) | > G_feat_match_loss: 0.07597 (0.07122) | > G_gen_loss: 13.08420 (12.87076) | > G_adv_loss: 8.77737 (8.21846) | > loss_1: 21.86157 (21.08922) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04750 (1.05232) | > loader_time: 0.00250 (0.00240)  --> STEP: 783/1391 -- GLOBAL_STEP: 36175 | > D_mse_gan_loss: 0.34838 (0.32486) | > D_mse_gan_real_loss: 0.04681 (0.01180) | > D_mse_gan_fake_loss: 0.05470 (0.01610) | > loss_0: 0.34838 (0.32486) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28725 (0.28605) | > G_mse_fake_loss: 0.48283 (0.52743) | > G_feat_match_loss: 0.05632 (0.07131) | > G_gen_loss: 12.92608 (12.87236) | > G_adv_loss: 6.56528 (8.22882) | > loss_1: 19.49136 (21.10118) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04990 (1.05224) | > loader_time: 0.00200 (0.00240)  --> STEP: 808/1391 -- GLOBAL_STEP: 36200 | > D_mse_gan_loss: 0.30193 (0.32496) | > D_mse_gan_real_loss: 0.00042 (0.01173) | > D_mse_gan_fake_loss: 0.00010 (0.01598) | > loss_0: 0.30193 (0.32496) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27756 (0.28611) | > G_mse_fake_loss: 0.49656 (0.52735) | > G_feat_match_loss: 0.07841 (0.07130) | > G_gen_loss: 12.49033 (12.87494) | > G_adv_loss: 8.96488 (8.22829) | > loss_1: 21.45521 (21.10323) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04860 (1.05219) | > loader_time: 0.00250 (0.00240)  --> STEP: 833/1391 -- GLOBAL_STEP: 36225 | > D_mse_gan_loss: 0.34039 (0.32541) | > D_mse_gan_real_loss: 0.06549 (0.01195) | > D_mse_gan_fake_loss: 0.01917 (0.01628) | > loss_0: 0.34039 (0.32541) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27187 (0.28601) | > G_mse_fake_loss: 0.47954 (0.52672) | > G_feat_match_loss: 0.06548 (0.07114) | > G_gen_loss: 12.23401 (12.87038) | > G_adv_loss: 7.55172 (8.21003) | > loss_1: 19.78573 (21.08041) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04920 (1.05213) | > loader_time: 0.00230 (0.00239)  --> STEP: 858/1391 -- GLOBAL_STEP: 36250 | > D_mse_gan_loss: 0.28170 (0.32447) | > D_mse_gan_real_loss: 0.00039 (0.01176) | > D_mse_gan_fake_loss: 0.00006 (0.01602) | > loss_0: 0.28170 (0.32447) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28154 (0.28625) | > G_mse_fake_loss: 0.61986 (0.52785) | > G_feat_match_loss: 0.08343 (0.07137) | > G_gen_loss: 12.66934 (12.88109) | > G_adv_loss: 9.63005 (8.23585) | > loss_1: 22.29939 (21.11694) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04750 (1.05203) | > loader_time: 0.00240 (0.00239)  --> STEP: 883/1391 -- GLOBAL_STEP: 36275 | > D_mse_gan_loss: 0.32274 (0.32495) | > D_mse_gan_real_loss: 0.00084 (0.01164) | > D_mse_gan_fake_loss: 0.00004 (0.01587) | > loss_0: 0.32274 (0.32495) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27223 (0.28635) | > G_mse_fake_loss: 0.50240 (0.52769) | > G_feat_match_loss: 0.07326 (0.07136) | > G_gen_loss: 12.25032 (12.88594) | > G_adv_loss: 8.41430 (8.23504) | > loss_1: 20.66462 (21.12098) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04860 (1.05192) | > loader_time: 0.00220 (0.00239)  --> STEP: 908/1391 -- GLOBAL_STEP: 36300 | > D_mse_gan_loss: 0.28326 (0.32495) | > D_mse_gan_real_loss: 0.00651 (0.01165) | > D_mse_gan_fake_loss: 0.00010 (0.01601) | > loss_0: 0.28326 (0.32495) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28667 (0.28626) | > G_mse_fake_loss: 0.57629 (0.52730) | > G_feat_match_loss: 0.07855 (0.07127) | > G_gen_loss: 12.90022 (12.88170) | > G_adv_loss: 9.05995 (8.22499) | > loss_1: 21.96017 (21.10669) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05010 (1.05226) | > loader_time: 0.00240 (0.00240)  --> STEP: 933/1391 -- GLOBAL_STEP: 36325 | > D_mse_gan_loss: 0.38013 (0.32520) | > D_mse_gan_real_loss: 0.00750 (0.01170) | > D_mse_gan_fake_loss: 0.07182 (0.01616) | > loss_0: 0.38013 (0.32520) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28181 (0.28606) | > G_mse_fake_loss: 0.43199 (0.52682) | > G_feat_match_loss: 0.06179 (0.07121) | > G_gen_loss: 12.68131 (12.87287) | > G_adv_loss: 7.10568 (8.21777) | > loss_1: 19.78699 (21.09065) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04630 (1.05219) | > loader_time: 0.00240 (0.00240)  --> STEP: 958/1391 -- GLOBAL_STEP: 36350 | > D_mse_gan_loss: 0.34199 (0.32580) | > D_mse_gan_real_loss: 0.01208 (0.01188) | > D_mse_gan_fake_loss: 0.03050 (0.01636) | > loss_0: 0.34199 (0.32580) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27702 (0.28597) | > G_mse_fake_loss: 0.48463 (0.52615) | > G_feat_match_loss: 0.06834 (0.07103) | > G_gen_loss: 12.46605 (12.86882) | > G_adv_loss: 7.86503 (8.19749) | > loss_1: 20.33108 (21.06631) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05100 (1.05211) | > loader_time: 0.00300 (0.00239)  --> STEP: 983/1391 -- GLOBAL_STEP: 36375 | > D_mse_gan_loss: 0.38746 (0.32586) | > D_mse_gan_real_loss: 0.02582 (0.01177) | > D_mse_gan_fake_loss: 0.07723 (0.01669) | > loss_0: 0.38746 (0.32586) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27868 (0.28597) | > G_mse_fake_loss: 0.48140 (0.52638) | > G_feat_match_loss: 0.05491 (0.07108) | > G_gen_loss: 12.54070 (12.86858) | > G_adv_loss: 6.41115 (8.20272) | > loss_1: 18.95184 (21.07130) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.05202) | > loader_time: 0.00250 (0.00240)  --> STEP: 1008/1391 -- GLOBAL_STEP: 36400 | > D_mse_gan_loss: 0.34650 (0.32586) | > D_mse_gan_real_loss: 0.00415 (0.01177) | > D_mse_gan_fake_loss: 0.00292 (0.01647) | > loss_0: 0.34650 (0.32586) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27751 (0.28608) | > G_mse_fake_loss: 0.53996 (0.52613) | > G_feat_match_loss: 0.06819 (0.07102) | > G_gen_loss: 12.48796 (12.87341) | > G_adv_loss: 7.90492 (8.19637) | > loss_1: 20.39289 (21.06979) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04660 (1.05194) | > loader_time: 0.00210 (0.00239)  --> STEP: 1033/1391 -- GLOBAL_STEP: 36425 | > D_mse_gan_loss: 0.31766 (0.32659) | > D_mse_gan_real_loss: 0.00843 (0.01261) | > D_mse_gan_fake_loss: 0.00320 (0.01678) | > loss_0: 0.31766 (0.32659) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28081 (0.28603) | > G_mse_fake_loss: 0.53553 (0.52567) | > G_feat_match_loss: 0.07122 (0.07088) | > G_gen_loss: 12.63630 (12.87129) | > G_adv_loss: 8.22726 (8.18030) | > loss_1: 20.86356 (21.05159) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04640 (1.05188) | > loader_time: 0.00280 (0.00239)  --> STEP: 1058/1391 -- GLOBAL_STEP: 36450 | > D_mse_gan_loss: 0.30105 (0.32604) | > D_mse_gan_real_loss: 0.00096 (0.01244) | > D_mse_gan_fake_loss: 0.02505 (0.01669) | > loss_0: 0.30105 (0.32604) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27539 (0.28599) | > G_mse_fake_loss: 0.54252 (0.52618) | > G_feat_match_loss: 0.08005 (0.07103) | > G_gen_loss: 12.39254 (12.86959) | > G_adv_loss: 9.18788 (8.19781) | > loss_1: 21.58042 (21.06740) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.05179) | > loader_time: 0.00210 (0.00239)  --> STEP: 1083/1391 -- GLOBAL_STEP: 36475 | > D_mse_gan_loss: 0.30581 (0.32605) | > D_mse_gan_real_loss: 0.01075 (0.01239) | > D_mse_gan_fake_loss: 0.00196 (0.01663) | > loss_0: 0.30581 (0.32605) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27749 (0.28598) | > G_mse_fake_loss: 0.54111 (0.52628) | > G_feat_match_loss: 0.06088 (0.07101) | > G_gen_loss: 12.48711 (12.86916) | > G_adv_loss: 7.11652 (8.19552) | > loss_1: 19.60362 (21.06468) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05050 (1.05174) | > loader_time: 0.00240 (0.00239)  --> STEP: 1108/1391 -- GLOBAL_STEP: 36500 | > D_mse_gan_loss: 0.46338 (0.32612) | > D_mse_gan_real_loss: 0.00381 (0.01279) | > D_mse_gan_fake_loss: 0.18494 (0.01681) | > loss_0: 0.46338 (0.32612) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28756 (0.28592) | > G_mse_fake_loss: 0.33552 (0.52639) | > G_feat_match_loss: 0.04746 (0.07102) | > G_gen_loss: 12.93999 (12.86638) | > G_adv_loss: 5.46112 (8.19699) | > loss_1: 18.40111 (21.06336) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04200 (1.05195) | > loader_time: 0.00200 (0.00239)  --> STEP: 1133/1391 -- GLOBAL_STEP: 36525 | > D_mse_gan_loss: 0.30214 (0.32564) | > D_mse_gan_real_loss: 0.00050 (0.01268) | > D_mse_gan_fake_loss: 0.00033 (0.01670) | > loss_0: 0.30214 (0.32564) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28256 (0.28603) | > G_mse_fake_loss: 0.57542 (0.52711) | > G_feat_match_loss: 0.08174 (0.07114) | > G_gen_loss: 12.71517 (12.87141) | > G_adv_loss: 9.40375 (8.21069) | > loss_1: 22.11892 (21.08210) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04980 (1.05190) | > loader_time: 0.00240 (0.00239)  --> STEP: 1158/1391 -- GLOBAL_STEP: 36550 | > D_mse_gan_loss: 0.33071 (0.32531) | > D_mse_gan_real_loss: 0.00312 (0.01246) | > D_mse_gan_fake_loss: 0.00049 (0.01645) | > loss_0: 0.33071 (0.32531) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27836 (0.28609) | > G_mse_fake_loss: 0.54997 (0.52753) | > G_feat_match_loss: 0.07956 (0.07125) | > G_gen_loss: 12.52635 (12.87404) | > G_adv_loss: 9.14193 (8.22285) | > loss_1: 21.66828 (21.09689) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05030 (1.05184) | > loader_time: 0.00240 (0.00239)  --> STEP: 1183/1391 -- GLOBAL_STEP: 36575 | > D_mse_gan_loss: 0.32226 (0.32572) | > D_mse_gan_real_loss: 0.00332 (0.01275) | > D_mse_gan_fake_loss: 0.00779 (0.01672) | > loss_0: 0.32226 (0.32572) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28257 (0.28597) | > G_mse_fake_loss: 0.50212 (0.52694) | > G_feat_match_loss: 0.06812 (0.07113) | > G_gen_loss: 12.71555 (12.86853) | > G_adv_loss: 7.85917 (8.20937) | > loss_1: 20.57472 (21.07790) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.05175) | > loader_time: 0.00270 (0.00239)  --> STEP: 1208/1391 -- GLOBAL_STEP: 36600 | > D_mse_gan_loss: 0.29386 (0.32600) | > D_mse_gan_real_loss: 0.01096 (0.01296) | > D_mse_gan_fake_loss: 0.00194 (0.01689) | > loss_0: 0.29386 (0.32600) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27290 (0.28605) | > G_mse_fake_loss: 0.54742 (0.52662) | > G_feat_match_loss: 0.07510 (0.07105) | > G_gen_loss: 12.28031 (12.87227) | > G_adv_loss: 8.65847 (8.19965) | > loss_1: 20.93879 (21.07192) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05040 (1.05169) | > loader_time: 0.00240 (0.00238)  --> STEP: 1233/1391 -- GLOBAL_STEP: 36625 | > D_mse_gan_loss: 0.31948 (0.32607) | > D_mse_gan_real_loss: 0.00488 (0.01283) | > D_mse_gan_fake_loss: 0.00007 (0.01685) | > loss_0: 0.31948 (0.32607) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27899 (0.28606) | > G_mse_fake_loss: 0.49847 (0.52647) | > G_feat_match_loss: 0.06838 (0.07103) | > G_gen_loss: 12.55458 (12.87287) | > G_adv_loss: 7.88302 (8.19733) | > loss_1: 20.43760 (21.07019) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04560 (1.05161) | > loader_time: 0.00190 (0.00238)  --> STEP: 1258/1391 -- GLOBAL_STEP: 36650 | > D_mse_gan_loss: 0.27333 (0.32625) | > D_mse_gan_real_loss: 0.00691 (0.01297) | > D_mse_gan_fake_loss: 0.00009 (0.01704) | > loss_0: 0.27333 (0.32625) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29626 (0.28611) | > G_mse_fake_loss: 0.62912 (0.52624) | > G_feat_match_loss: 0.08355 (0.07096) | > G_gen_loss: 13.33183 (12.87506) | > G_adv_loss: 9.65301 (8.18987) | > loss_1: 22.98484 (21.06493) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04670 (1.05153) | > loader_time: 0.00200 (0.00238)  --> STEP: 1283/1391 -- GLOBAL_STEP: 36675 | > D_mse_gan_loss: 0.30779 (0.32579) | > D_mse_gan_real_loss: 0.00540 (0.01274) | > D_mse_gan_fake_loss: 0.00371 (0.01680) | > loss_0: 0.30779 (0.32579) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26349 (0.28598) | > G_mse_fake_loss: 0.53591 (0.52683) | > G_feat_match_loss: 0.06770 (0.07110) | > G_gen_loss: 11.85720 (12.86897) | > G_adv_loss: 7.84790 (8.20554) | > loss_1: 19.70510 (21.07451) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04560 (1.05150) | > loader_time: 0.00200 (0.00237)  --> STEP: 1308/1391 -- GLOBAL_STEP: 36700 | > D_mse_gan_loss: 0.34267 (0.32605) | > D_mse_gan_real_loss: 0.03226 (0.01293) | > D_mse_gan_fake_loss: 0.00019 (0.01707) | > loss_0: 0.34267 (0.32605) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28761 (0.28588) | > G_mse_fake_loss: 0.52054 (0.52641) | > G_feat_match_loss: 0.06270 (0.07100) | > G_gen_loss: 12.94228 (12.86440) | > G_adv_loss: 7.29204 (8.19431) | > loss_1: 20.23433 (21.05871) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.06180 (1.05145) | > loader_time: 0.00220 (0.00237)  --> STEP: 1333/1391 -- GLOBAL_STEP: 36725 | > D_mse_gan_loss: 0.30824 (0.32616) | > D_mse_gan_real_loss: 0.02124 (0.01304) | > D_mse_gan_fake_loss: 0.00002 (0.01715) | > loss_0: 0.30824 (0.32616) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27723 (0.28582) | > G_mse_fake_loss: 0.55808 (0.52653) | > G_feat_match_loss: 0.07944 (0.07098) | > G_gen_loss: 12.47523 (12.86205) | > G_adv_loss: 9.13774 (8.19289) | > loss_1: 21.61297 (21.05493) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04780 (1.05168) | > loader_time: 0.00260 (0.00238)  --> STEP: 1358/1391 -- GLOBAL_STEP: 36750 | > D_mse_gan_loss: 0.35620 (0.32604) | > D_mse_gan_real_loss: 0.01513 (0.01285) | > D_mse_gan_fake_loss: 0.00018 (0.01709) | > loss_0: 0.35620 (0.32604) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27726 (0.28586) | > G_mse_fake_loss: 0.54589 (0.52660) | > G_feat_match_loss: 0.06995 (0.07102) | > G_gen_loss: 12.47691 (12.86383) | > G_adv_loss: 8.10071 (8.19697) | > loss_1: 20.57762 (21.06080) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04960 (1.05161) | > loader_time: 0.00270 (0.00238)  --> STEP: 1383/1391 -- GLOBAL_STEP: 36775 | > D_mse_gan_loss: 0.34067 (0.32620) | > D_mse_gan_real_loss: 0.00416 (0.01290) | > D_mse_gan_fake_loss: 0.05223 (0.01725) | > loss_0: 0.34067 (0.32620) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28545 (0.28584) | > G_mse_fake_loss: 0.50035 (0.52621) | > G_feat_match_loss: 0.06881 (0.07095) | > G_gen_loss: 12.84527 (12.86286) | > G_adv_loss: 7.93218 (8.18846) | > loss_1: 20.77745 (21.05132) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04680 (1.05154) | > loader_time: 0.00200 (0.00238)  > EVALUATION  --> EVAL PERFORMANCE | > avg_loader_time: 0.00245 (+0.00011) | > avg_D_mse_gan_loss: 0.34506 (+0.03058) | > avg_D_mse_gan_real_loss: 0.01795 (+0.01294) | > avg_D_mse_gan_fake_loss: 0.02938 (+0.02917) | > avg_loss_0: 0.34506 (+0.03058) | > avg_G_l1_spec_loss: 0.31684 (-0.01802) | > avg_G_mse_fake_loss: 0.46576 (-0.10479) | > avg_G_feat_match_loss: 0.06356 (-0.01439) | > avg_G_gen_loss: 14.25760 (-0.81088) | > avg_G_adv_loss: 7.33048 (-1.65845) | > avg_loss_1: 21.58808 (-2.46934)  > EPOCH: 2/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 05:22:52)   --> STEP: 17/1391 -- GLOBAL_STEP: 36800 | > D_mse_gan_loss: 0.31551 (0.34510) | > D_mse_gan_real_loss: 0.01409 (0.02268) | > D_mse_gan_fake_loss: 0.00038 (0.02547) | > loss_0: 0.31551 (0.34510) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28534 (0.29098) | > G_mse_fake_loss: 0.50921 (0.49187) | > G_feat_match_loss: 0.06488 (0.06302) | > G_gen_loss: 12.84052 (13.09392) | > G_adv_loss: 7.51657 (7.29806) | > loss_1: 20.35708 (20.39198) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05300 (1.04825) | > loader_time: 0.00220 (0.00226)  --> STEP: 42/1391 -- GLOBAL_STEP: 36825 | > D_mse_gan_loss: 0.47679 (0.35694) | > D_mse_gan_real_loss: 0.06526 (0.02541) | > D_mse_gan_fake_loss: 0.06390 (0.03160) | > loss_0: 0.47679 (0.35694) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27733 (0.29075) | > G_mse_fake_loss: 0.36435 (0.49700) | > G_feat_match_loss: 0.04411 (0.06225) | > G_gen_loss: 12.47975 (13.08377) | > G_adv_loss: 5.12770 (7.22054) | > loss_1: 17.60745 (20.30431) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05120 (1.05105) | > loader_time: 0.00190 (0.00228)  --> STEP: 67/1391 -- GLOBAL_STEP: 36850 | > D_mse_gan_loss: 0.29893 (0.35060) | > D_mse_gan_real_loss: 0.00238 (0.02234) | > D_mse_gan_fake_loss: 0.00014 (0.02865) | > loss_0: 0.29893 (0.35060) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30369 (0.29102) | > G_mse_fake_loss: 0.64367 (0.49974) | > G_feat_match_loss: 0.07568 (0.06324) | > G_gen_loss: 13.66602 (13.09606) | > G_adv_loss: 8.81737 (7.32939) | > loss_1: 22.48339 (20.42545) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04760 (1.05001) | > loader_time: 0.00240 (0.00226)  --> STEP: 92/1391 -- GLOBAL_STEP: 36875 | > D_mse_gan_loss: 0.30824 (0.34756) | > D_mse_gan_real_loss: 0.00467 (0.02027) | > D_mse_gan_fake_loss: 0.00013 (0.02726) | > loss_0: 0.30824 (0.34756) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30660 (0.29098) | > G_mse_fake_loss: 0.54920 (0.49884) | > G_feat_match_loss: 0.07315 (0.06338) | > G_gen_loss: 13.79684 (13.09400) | > G_adv_loss: 8.44922 (7.34378) | > loss_1: 22.24606 (20.43778) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04320 (1.04878) | > loader_time: 0.00280 (0.00228)  --> STEP: 117/1391 -- GLOBAL_STEP: 36900 | > D_mse_gan_loss: 0.31925 (0.34068) | > D_mse_gan_real_loss: 0.00442 (0.01701) | > D_mse_gan_fake_loss: 0.00004 (0.02339) | > loss_0: 0.31925 (0.34068) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31571 (0.29075) | > G_mse_fake_loss: 0.57262 (0.50501) | > G_feat_match_loss: 0.06974 (0.06485) | > G_gen_loss: 14.20674 (13.08358) | > G_adv_loss: 8.10432 (7.50884) | > loss_1: 22.31106 (20.59241) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.04865) | > loader_time: 0.00220 (0.00238)  --> STEP: 142/1391 -- GLOBAL_STEP: 36925 | > D_mse_gan_loss: 0.30663 (0.33855) | > D_mse_gan_real_loss: 0.00287 (0.01668) | > D_mse_gan_fake_loss: 0.00004 (0.02204) | > loss_0: 0.30663 (0.33855) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28580 (0.29011) | > G_mse_fake_loss: 0.55106 (0.50859) | > G_feat_match_loss: 0.07667 (0.06567) | > G_gen_loss: 12.86118 (13.05514) | > G_adv_loss: 8.83158 (7.60082) | > loss_1: 21.69276 (20.65596) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05450 (1.05160) | > loader_time: 0.00240 (0.00271)  --> STEP: 167/1391 -- GLOBAL_STEP: 36950 | > D_mse_gan_loss: 0.36588 (0.33691) | > D_mse_gan_real_loss: 0.00615 (0.01602) | > D_mse_gan_fake_loss: 0.11856 (0.02194) | > loss_0: 0.36588 (0.33691) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26771 (0.29012) | > G_mse_fake_loss: 0.45211 (0.51089) | > G_feat_match_loss: 0.06143 (0.06636) | > G_gen_loss: 12.04705 (13.05548) | > G_adv_loss: 7.08707 (7.67807) | > loss_1: 19.13412 (20.73355) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04920 (1.05148) | > loader_time: 0.00190 (0.00265)  --> STEP: 192/1391 -- GLOBAL_STEP: 36975 | > D_mse_gan_loss: 0.42539 (0.33592) | > D_mse_gan_real_loss: 0.01034 (0.01496) | > D_mse_gan_fake_loss: 0.14370 (0.02189) | > loss_0: 0.42539 (0.33592) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30801 (0.28962) | > G_mse_fake_loss: 0.47811 (0.51120) | > G_feat_match_loss: 0.04538 (0.06643) | > G_gen_loss: 13.86032 (13.03269) | > G_adv_loss: 5.37912 (7.68580) | > loss_1: 19.23944 (20.71850) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04560 (1.05135) | > loader_time: 0.00220 (0.00258)  --> STEP: 217/1391 -- GLOBAL_STEP: 37000 | > D_mse_gan_loss: 0.36753 (0.33767) | > D_mse_gan_real_loss: 0.00434 (0.01590) | > D_mse_gan_fake_loss: 0.04574 (0.02274) | > loss_0: 0.36753 (0.33767) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28642 (0.29012) | > G_mse_fake_loss: 0.46106 (0.50967) | > G_feat_match_loss: 0.05619 (0.06611) | > G_gen_loss: 12.88878 (13.05554) | > G_adv_loss: 6.53008 (7.64930) | > loss_1: 19.41886 (20.70484) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05590 (1.05107) | > loader_time: 0.00330 (0.00257) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_37000.pth  --> STEP: 242/1391 -- GLOBAL_STEP: 37025 | > D_mse_gan_loss: 0.46790 (0.33599) | > D_mse_gan_real_loss: 0.00941 (0.01585) | > D_mse_gan_fake_loss: 0.19664 (0.02245) | > loss_0: 0.46790 (0.33599) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27690 (0.29012) | > G_mse_fake_loss: 0.40711 (0.51144) | > G_feat_match_loss: 0.05835 (0.06671) | > G_gen_loss: 12.46031 (13.05538) | > G_adv_loss: 6.70916 (7.71663) | > loss_1: 19.16947 (20.77201) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05650 (1.05131) | > loader_time: 0.00210 (0.00255)  --> STEP: 267/1391 -- GLOBAL_STEP: 37050 | > D_mse_gan_loss: 0.34215 (0.33704) | > D_mse_gan_real_loss: 0.00421 (0.01607) | > D_mse_gan_fake_loss: 0.04784 (0.02239) | > loss_0: 0.34215 (0.33704) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28320 (0.28961) | > G_mse_fake_loss: 0.48461 (0.50996) | > G_feat_match_loss: 0.06380 (0.06636) | > G_gen_loss: 12.74413 (13.03229) | > G_adv_loss: 7.37555 (7.67709) | > loss_1: 20.11968 (20.70937) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04920 (1.05134) | > loader_time: 0.00230 (0.00253)  --> STEP: 292/1391 -- GLOBAL_STEP: 37075 | > D_mse_gan_loss: 0.36774 (0.33577) | > D_mse_gan_real_loss: 0.00312 (0.01574) | > D_mse_gan_fake_loss: 0.04809 (0.02158) | > loss_0: 0.36774 (0.33577) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27842 (0.28976) | > G_mse_fake_loss: 0.45507 (0.51245) | > G_feat_match_loss: 0.06642 (0.06678) | > G_gen_loss: 12.52901 (13.03911) | > G_adv_loss: 7.62813 (7.72443) | > loss_1: 20.15714 (20.76354) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04320 (1.05088) | > loader_time: 0.00210 (0.00250)  --> STEP: 317/1391 -- GLOBAL_STEP: 37100 | > D_mse_gan_loss: 0.37712 (0.33474) | > D_mse_gan_real_loss: 0.00391 (0.01471) | > D_mse_gan_fake_loss: 0.05701 (0.02076) | > loss_0: 0.37712 (0.33474) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26577 (0.28973) | > G_mse_fake_loss: 0.44191 (0.51422) | > G_feat_match_loss: 0.06427 (0.06711) | > G_gen_loss: 11.95953 (13.03784) | > G_adv_loss: 7.38308 (7.76216) | > loss_1: 19.34261 (20.80001) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04300 (1.05064) | > loader_time: 0.00220 (0.00248)  --> STEP: 342/1391 -- GLOBAL_STEP: 37125 | > D_mse_gan_loss: 0.32319 (0.33431) | > D_mse_gan_real_loss: 0.00038 (0.01424) | > D_mse_gan_fake_loss: 0.03627 (0.02032) | > loss_0: 0.32319 (0.33431) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28008 (0.28968) | > G_mse_fake_loss: 0.51334 (0.51430) | > G_feat_match_loss: 0.07216 (0.06720) | > G_gen_loss: 12.60346 (13.03538) | > G_adv_loss: 8.30644 (7.77162) | > loss_1: 20.90990 (20.80700) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04700 (1.05147) | > loader_time: 0.00200 (0.00255)  --> STEP: 367/1391 -- GLOBAL_STEP: 37150 | > D_mse_gan_loss: 0.34506 (0.33473) | > D_mse_gan_real_loss: 0.00386 (0.01509) | > D_mse_gan_fake_loss: 0.06902 (0.02070) | > loss_0: 0.34506 (0.33473) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27581 (0.28937) | > G_mse_fake_loss: 0.44126 (0.51416) | > G_feat_match_loss: 0.06031 (0.06713) | > G_gen_loss: 12.41164 (13.02176) | > G_adv_loss: 6.95443 (7.76397) | > loss_1: 19.36607 (20.78573) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04790 (1.05131) | > loader_time: 0.00230 (0.00252)  --> STEP: 392/1391 -- GLOBAL_STEP: 37175 | > D_mse_gan_loss: 0.31468 (0.33515) | > D_mse_gan_real_loss: 0.00872 (0.01534) | > D_mse_gan_fake_loss: 0.02396 (0.02136) | > loss_0: 0.31468 (0.33515) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27407 (0.28925) | > G_mse_fake_loss: 0.54491 (0.51367) | > G_feat_match_loss: 0.06990 (0.06708) | > G_gen_loss: 12.33294 (13.01633) | > G_adv_loss: 8.09430 (7.75789) | > loss_1: 20.42723 (20.77422) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04950 (1.05113) | > loader_time: 0.00230 (0.00249)  --> STEP: 417/1391 -- GLOBAL_STEP: 37200 | > D_mse_gan_loss: 0.31834 (0.33564) | > D_mse_gan_real_loss: 0.00458 (0.01577) | > D_mse_gan_fake_loss: 0.02083 (0.02169) | > loss_0: 0.31834 (0.33564) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27366 (0.28909) | > G_mse_fake_loss: 0.50186 (0.51275) | > G_feat_match_loss: 0.07052 (0.06691) | > G_gen_loss: 12.31491 (13.00911) | > G_adv_loss: 8.11838 (7.73872) | > loss_1: 20.43329 (20.74783) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04820 (1.05093) | > loader_time: 0.00240 (0.00249)  --> STEP: 442/1391 -- GLOBAL_STEP: 37225 | > D_mse_gan_loss: 0.30921 (0.33539) | > D_mse_gan_real_loss: 0.00287 (0.01568) | > D_mse_gan_fake_loss: 0.00005 (0.02160) | > loss_0: 0.30921 (0.33539) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29282 (0.28943) | > G_mse_fake_loss: 0.54187 (0.51301) | > G_feat_match_loss: 0.07106 (0.06694) | > G_gen_loss: 13.17671 (13.02447) | > G_adv_loss: 8.21583 (7.74232) | > loss_1: 21.39254 (20.76679) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04670 (1.05075) | > loader_time: 0.00260 (0.00247)  --> STEP: 467/1391 -- GLOBAL_STEP: 37250 | > D_mse_gan_loss: 0.31324 (0.33650) | > D_mse_gan_real_loss: 0.01367 (0.01621) | > D_mse_gan_fake_loss: 0.00049 (0.02209) | > loss_0: 0.31324 (0.33650) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28997 (0.28953) | > G_mse_fake_loss: 0.52829 (0.51146) | > G_feat_match_loss: 0.06606 (0.06660) | > G_gen_loss: 13.04854 (13.02879) | > G_adv_loss: 7.66268 (7.70397) | > loss_1: 20.71122 (20.73276) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04590 (1.05060) | > loader_time: 0.00190 (0.00245)  --> STEP: 492/1391 -- GLOBAL_STEP: 37275 | > D_mse_gan_loss: 0.37107 (0.33629) | > D_mse_gan_real_loss: 0.02997 (0.01613) | > D_mse_gan_fake_loss: 0.07075 (0.02211) | > loss_0: 0.37107 (0.33629) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28124 (0.28979) | > G_mse_fake_loss: 0.47174 (0.51179) | > G_feat_match_loss: 0.05579 (0.06664) | > G_gen_loss: 12.65563 (13.04060) | > G_adv_loss: 6.49735 (7.70864) | > loss_1: 19.15298 (20.74924) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04380 (1.05042) | > loader_time: 0.00250 (0.00244)  --> STEP: 517/1391 -- GLOBAL_STEP: 37300 | > D_mse_gan_loss: 0.41572 (0.33634) | > D_mse_gan_real_loss: 0.00274 (0.01614) | > D_mse_gan_fake_loss: 0.05352 (0.02219) | > loss_0: 0.41572 (0.33634) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28355 (0.28982) | > G_mse_fake_loss: 0.50167 (0.51219) | > G_feat_match_loss: 0.05889 (0.06674) | > G_gen_loss: 12.75954 (13.04199) | > G_adv_loss: 6.86151 (7.71995) | > loss_1: 19.62105 (20.76194) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04780 (1.05022) | > loader_time: 0.00200 (0.00245)  --> STEP: 542/1391 -- GLOBAL_STEP: 37325 | > D_mse_gan_loss: 0.32531 (0.33793) | > D_mse_gan_real_loss: 0.01824 (0.01733) | > D_mse_gan_fake_loss: 0.00674 (0.02307) | > loss_0: 0.32531 (0.33793) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27906 (0.28977) | > G_mse_fake_loss: 0.52521 (0.51003) | > G_feat_match_loss: 0.06794 (0.06634) | > G_gen_loss: 12.55769 (13.03959) | > G_adv_loss: 7.86269 (7.67431) | > loss_1: 20.42038 (20.71390) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05250 (1.05014) | > loader_time: 0.00190 (0.00243)  --> STEP: 567/1391 -- GLOBAL_STEP: 37350 | > D_mse_gan_loss: 0.25296 (0.33796) | > D_mse_gan_real_loss: 0.00434 (0.01784) | > D_mse_gan_fake_loss: 0.00005 (0.02307) | > loss_0: 0.25296 (0.33796) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30625 (0.29009) | > G_mse_fake_loss: 0.59532 (0.50970) | > G_feat_match_loss: 0.08719 (0.06629) | > G_gen_loss: 13.78111 (13.05395) | > G_adv_loss: 10.01220 (7.66876) | > loss_1: 23.79331 (20.72271) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05090 (1.05079) | > loader_time: 0.00250 (0.00244)  --> STEP: 592/1391 -- GLOBAL_STEP: 37375 | > D_mse_gan_loss: 0.33305 (0.33729) | > D_mse_gan_real_loss: 0.02314 (0.01751) | > D_mse_gan_fake_loss: 0.00572 (0.02288) | > loss_0: 0.33305 (0.33729) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28917 (0.28994) | > G_mse_fake_loss: 0.51471 (0.51059) | > G_feat_match_loss: 0.06438 (0.06650) | > G_gen_loss: 13.01280 (13.04735) | > G_adv_loss: 7.46774 (7.69273) | > loss_1: 20.48054 (20.74008) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05040 (1.05077) | > loader_time: 0.00200 (0.00244)  --> STEP: 617/1391 -- GLOBAL_STEP: 37400 | > D_mse_gan_loss: 0.34267 (0.33695) | > D_mse_gan_real_loss: 0.01035 (0.01731) | > D_mse_gan_fake_loss: 0.03438 (0.02272) | > loss_0: 0.34267 (0.33695) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27754 (0.28980) | > G_mse_fake_loss: 0.52656 (0.51067) | > G_feat_match_loss: 0.06731 (0.06653) | > G_gen_loss: 12.48911 (13.04102) | > G_adv_loss: 7.79609 (7.69592) | > loss_1: 20.28520 (20.73694) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04940 (1.05071) | > loader_time: 0.00190 (0.00243)  --> STEP: 642/1391 -- GLOBAL_STEP: 37425 | > D_mse_gan_loss: 0.28050 (0.33708) | > D_mse_gan_real_loss: 0.00291 (0.01773) | > D_mse_gan_fake_loss: 0.00093 (0.02257) | > loss_0: 0.28050 (0.33708) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29550 (0.28983) | > G_mse_fake_loss: 0.54517 (0.51077) | > G_feat_match_loss: 0.08692 (0.06652) | > G_gen_loss: 13.29757 (13.04242) | > G_adv_loss: 9.93260 (7.69527) | > loss_1: 23.23018 (20.73769) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04610 (1.05064) | > loader_time: 0.00210 (0.00243)  --> STEP: 667/1391 -- GLOBAL_STEP: 37450 | > D_mse_gan_loss: 0.35433 (0.33714) | > D_mse_gan_real_loss: 0.01761 (0.01743) | > D_mse_gan_fake_loss: 0.04114 (0.02276) | > loss_0: 0.35433 (0.33714) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28053 (0.28971) | > G_mse_fake_loss: 0.44625 (0.51025) | > G_feat_match_loss: 0.05800 (0.06645) | > G_gen_loss: 12.62363 (13.03686) | > G_adv_loss: 6.71000 (7.68633) | > loss_1: 19.33364 (20.72318) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04800 (1.05060) | > loader_time: 0.00200 (0.00242)  --> STEP: 692/1391 -- GLOBAL_STEP: 37475 | > D_mse_gan_loss: 0.29021 (0.33709) | > D_mse_gan_real_loss: 0.00039 (0.01742) | > D_mse_gan_fake_loss: 0.00011 (0.02236) | > loss_0: 0.29021 (0.33709) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28909 (0.28991) | > G_mse_fake_loss: 0.60380 (0.51074) | > G_feat_match_loss: 0.07648 (0.06653) | > G_gen_loss: 13.00892 (13.04594) | > G_adv_loss: 8.86391 (7.69572) | > loss_1: 21.87283 (20.74166) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04700 (1.05057) | > loader_time: 0.00240 (0.00242)  --> STEP: 717/1391 -- GLOBAL_STEP: 37500 | > D_mse_gan_loss: 0.30468 (0.33642) | > D_mse_gan_real_loss: 0.00303 (0.01718) | > D_mse_gan_fake_loss: 0.01446 (0.02218) | > loss_0: 0.30468 (0.33642) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29116 (0.28959) | > G_mse_fake_loss: 0.49549 (0.51120) | > G_feat_match_loss: 0.07398 (0.06673) | > G_gen_loss: 13.10203 (13.03165) | > G_adv_loss: 8.48531 (7.71780) | > loss_1: 21.58734 (20.74945) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.05047) | > loader_time: 0.00200 (0.00241)  --> STEP: 742/1391 -- GLOBAL_STEP: 37525 | > D_mse_gan_loss: 0.31723 (0.33554) | > D_mse_gan_real_loss: 0.00238 (0.01679) | > D_mse_gan_fake_loss: 0.00892 (0.02160) | > loss_0: 0.31723 (0.33554) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29817 (0.28919) | > G_mse_fake_loss: 0.48298 (0.51213) | > G_feat_match_loss: 0.07144 (0.06693) | > G_gen_loss: 13.41755 (13.01369) | > G_adv_loss: 8.19827 (7.74096) | > loss_1: 21.61582 (20.75465) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04450 (1.05040) | > loader_time: 0.00280 (0.00241)  --> STEP: 767/1391 -- GLOBAL_STEP: 37550 | > D_mse_gan_loss: 0.31145 (0.33445) | > D_mse_gan_real_loss: 0.00370 (0.01635) | > D_mse_gan_fake_loss: 0.00088 (0.02112) | > loss_0: 0.31145 (0.33445) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27938 (0.28885) | > G_mse_fake_loss: 0.53622 (0.51321) | > G_feat_match_loss: 0.06877 (0.06724) | > G_gen_loss: 12.57229 (12.99842) | > G_adv_loss: 7.96361 (7.77511) | > loss_1: 20.53590 (20.77353) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04530 (1.05082) | > loader_time: 0.00200 (0.00242)  --> STEP: 792/1391 -- GLOBAL_STEP: 37575 | > D_mse_gan_loss: 0.49752 (0.33426) | > D_mse_gan_real_loss: 0.00066 (0.01623) | > D_mse_gan_fake_loss: 0.24948 (0.02117) | > loss_0: 0.49752 (0.33426) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27415 (0.28864) | > G_mse_fake_loss: 0.38349 (0.51354) | > G_feat_match_loss: 0.05535 (0.06735) | > G_gen_loss: 12.33655 (12.98860) | > G_adv_loss: 6.36122 (7.78704) | > loss_1: 18.69778 (20.77565) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05280 (1.05073) | > loader_time: 0.00240 (0.00241)  --> STEP: 817/1391 -- GLOBAL_STEP: 37600 | > D_mse_gan_loss: 0.34536 (0.33386) | > D_mse_gan_real_loss: 0.00917 (0.01610) | > D_mse_gan_fake_loss: 0.02697 (0.02092) | > loss_0: 0.34536 (0.33386) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29225 (0.28852) | > G_mse_fake_loss: 0.52258 (0.51399) | > G_feat_match_loss: 0.05074 (0.06741) | > G_gen_loss: 13.15120 (12.98354) | > G_adv_loss: 6.00301 (7.79423) | > loss_1: 19.15421 (20.77777) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.05068) | > loader_time: 0.00200 (0.00241)  --> STEP: 842/1391 -- GLOBAL_STEP: 37625 | > D_mse_gan_loss: 0.35771 (0.33578) | > D_mse_gan_real_loss: 0.04789 (0.01761) | > D_mse_gan_fake_loss: 0.00918 (0.02214) | > loss_0: 0.35771 (0.33578) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28791 (0.28860) | > G_mse_fake_loss: 0.49239 (0.51254) | > G_feat_match_loss: 0.06278 (0.06705) | > G_gen_loss: 12.95600 (12.98700) | > G_adv_loss: 7.27297 (7.75448) | > loss_1: 20.22897 (20.74148) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04940 (1.05063) | > loader_time: 0.00200 (0.00241)  --> STEP: 867/1391 -- GLOBAL_STEP: 37650 | > D_mse_gan_loss: 0.31074 (0.33631) | > D_mse_gan_real_loss: 0.01925 (0.01786) | > D_mse_gan_fake_loss: 0.00098 (0.02236) | > loss_0: 0.31074 (0.33631) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28063 (0.28866) | > G_mse_fake_loss: 0.53371 (0.51140) | > G_feat_match_loss: 0.06768 (0.06684) | > G_gen_loss: 12.62830 (12.98951) | > G_adv_loss: 7.84287 (7.72989) | > loss_1: 20.47117 (20.71941) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04850 (1.05058) | > loader_time: 0.00290 (0.00240)  --> STEP: 892/1391 -- GLOBAL_STEP: 37675 | > D_mse_gan_loss: 0.41480 (0.33678) | > D_mse_gan_real_loss: 0.20249 (0.01882) | > D_mse_gan_fake_loss: 0.00367 (0.02221) | > loss_0: 0.41480 (0.33678) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29042 (0.28863) | > G_mse_fake_loss: 0.49431 (0.51138) | > G_feat_match_loss: 0.04863 (0.06676) | > G_gen_loss: 13.06909 (12.98843) | > G_adv_loss: 5.74587 (7.72121) | > loss_1: 18.81496 (20.70964) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04910 (1.05054) | > loader_time: 0.00230 (0.00240)  --> STEP: 917/1391 -- GLOBAL_STEP: 37700 | > D_mse_gan_loss: 0.36896 (0.33862) | > D_mse_gan_real_loss: 0.06021 (0.02066) | > D_mse_gan_fake_loss: 0.06712 (0.02306) | > loss_0: 0.36896 (0.33862) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27527 (0.28852) | > G_mse_fake_loss: 0.38839 (0.50926) | > G_feat_match_loss: 0.04753 (0.06627) | > G_gen_loss: 12.38726 (12.98351) | > G_adv_loss: 5.52191 (7.66693) | > loss_1: 17.90917 (20.65045) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04890 (1.05050) | > loader_time: 0.00200 (0.00239)  --> STEP: 942/1391 -- GLOBAL_STEP: 37725 | > D_mse_gan_loss: 0.30673 (0.33964) | > D_mse_gan_real_loss: 0.11195 (0.02235) | > D_mse_gan_fake_loss: 0.01353 (0.02402) | > loss_0: 0.30673 (0.33964) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.32247 (0.28868) | > G_mse_fake_loss: 0.58910 (0.50790) | > G_feat_match_loss: 0.07052 (0.06602) | > G_gen_loss: 14.51103 (12.99048) | > G_adv_loss: 8.20567 (7.63856) | > loss_1: 22.71669 (20.62904) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05230 (1.05050) | > loader_time: 0.00250 (0.00239)  --> STEP: 967/1391 -- GLOBAL_STEP: 37750 | > D_mse_gan_loss: 0.40284 (0.34044) | > D_mse_gan_real_loss: 0.02596 (0.02297) | > D_mse_gan_fake_loss: 0.08733 (0.02466) | > loss_0: 0.40284 (0.34044) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27941 (0.28873) | > G_mse_fake_loss: 0.42512 (0.50646) | > G_feat_match_loss: 0.05534 (0.06579) | > G_gen_loss: 12.57361 (12.99304) | > G_adv_loss: 6.40147 (7.61137) | > loss_1: 18.97507 (20.60441) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05060 (1.05049) | > loader_time: 0.00260 (0.00239)  --> STEP: 992/1391 -- GLOBAL_STEP: 37775 | > D_mse_gan_loss: 0.38713 (0.34115) | > D_mse_gan_real_loss: 0.05893 (0.02354) | > D_mse_gan_fake_loss: 0.06374 (0.02513) | > loss_0: 0.38713 (0.34115) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27498 (0.28875) | > G_mse_fake_loss: 0.42635 (0.50497) | > G_feat_match_loss: 0.04712 (0.06552) | > G_gen_loss: 12.37388 (12.99353) | > G_adv_loss: 5.51560 (7.58140) | > loss_1: 17.88948 (20.57493) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05460 (1.05091) | > loader_time: 0.00190 (0.00239)  --> STEP: 1017/1391 -- GLOBAL_STEP: 37800 | > D_mse_gan_loss: 0.39820 (0.34190) | > D_mse_gan_real_loss: 0.01876 (0.02398) | > D_mse_gan_fake_loss: 0.03490 (0.02572) | > loss_0: 0.39820 (0.34190) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29225 (0.28877) | > G_mse_fake_loss: 0.49118 (0.50400) | > G_feat_match_loss: 0.04842 (0.06533) | > G_gen_loss: 13.15113 (12.99471) | > G_adv_loss: 5.72068 (7.55999) | > loss_1: 18.87181 (20.55470) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05087) | > loader_time: 0.00250 (0.00239)  --> STEP: 1042/1391 -- GLOBAL_STEP: 37825 | > D_mse_gan_loss: 0.38565 (0.34327) | > D_mse_gan_real_loss: 0.05639 (0.02450) | > D_mse_gan_fake_loss: 0.04940 (0.02617) | > loss_0: 0.38565 (0.34327) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30449 (0.28883) | > G_mse_fake_loss: 0.41928 (0.50203) | > G_feat_match_loss: 0.05166 (0.06497) | > G_gen_loss: 13.70206 (12.99714) | > G_adv_loss: 5.99886 (7.51840) | > loss_1: 19.70092 (20.51554) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04750 (1.05087) | > loader_time: 0.00280 (0.00239)  --> STEP: 1067/1391 -- GLOBAL_STEP: 37850 | > D_mse_gan_loss: 0.33946 (0.34393) | > D_mse_gan_real_loss: 0.02712 (0.02495) | > D_mse_gan_fake_loss: 0.03234 (0.02669) | > loss_0: 0.33946 (0.34393) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28685 (0.28893) | > G_mse_fake_loss: 0.48461 (0.50079) | > G_feat_match_loss: 0.06709 (0.06475) | > G_gen_loss: 12.90804 (13.00184) | > G_adv_loss: 7.73069 (7.49358) | > loss_1: 20.63873 (20.49542) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05340 (1.05084) | > loader_time: 0.00240 (0.00238)  --> STEP: 1092/1391 -- GLOBAL_STEP: 37875 | > D_mse_gan_loss: 0.29776 (0.34417) | > D_mse_gan_real_loss: 0.03008 (0.02520) | > D_mse_gan_fake_loss: 0.00894 (0.02694) | > loss_0: 0.29776 (0.34417) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29767 (0.28909) | > G_mse_fake_loss: 0.59700 (0.50042) | > G_feat_match_loss: 0.07971 (0.06467) | > G_gen_loss: 13.39530 (13.00901) | > G_adv_loss: 9.20541 (7.48520) | > loss_1: 22.60072 (20.49421) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04800 (1.05081) | > loader_time: 0.00230 (0.00238)  --> STEP: 1117/1391 -- GLOBAL_STEP: 37900 | > D_mse_gan_loss: 0.35327 (0.34475) | > D_mse_gan_real_loss: 0.03446 (0.02559) | > D_mse_gan_fake_loss: 0.05425 (0.02747) | > loss_0: 0.35327 (0.34475) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27022 (0.28904) | > G_mse_fake_loss: 0.45816 (0.49948) | > G_feat_match_loss: 0.06095 (0.06453) | > G_gen_loss: 12.16003 (13.00696) | > G_adv_loss: 7.04113 (7.46858) | > loss_1: 19.20115 (20.47555) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.05077) | > loader_time: 0.00260 (0.00238)  --> STEP: 1142/1391 -- GLOBAL_STEP: 37925 | > D_mse_gan_loss: 0.30798 (0.34491) | > D_mse_gan_real_loss: 0.01205 (0.02574) | > D_mse_gan_fake_loss: 0.04258 (0.02782) | > loss_0: 0.30798 (0.34491) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28033 (0.28915) | > G_mse_fake_loss: 0.55197 (0.49922) | > G_feat_match_loss: 0.06515 (0.06446) | > G_gen_loss: 12.61483 (13.01189) | > G_adv_loss: 7.58850 (7.46089) | > loss_1: 20.20333 (20.47278) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04850 (1.05077) | > loader_time: 0.00200 (0.00238)  --> STEP: 1167/1391 -- GLOBAL_STEP: 37950 | > D_mse_gan_loss: 0.35863 (0.34521) | > D_mse_gan_real_loss: 0.03215 (0.02630) | > D_mse_gan_fake_loss: 0.04636 (0.02820) | > loss_0: 0.35863 (0.34521) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26863 (0.28917) | > G_mse_fake_loss: 0.46656 (0.49874) | > G_feat_match_loss: 0.05679 (0.06439) | > G_gen_loss: 12.08816 (13.01256) | > G_adv_loss: 6.59936 (7.45249) | > loss_1: 18.68751 (20.46505) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05110 (1.05072) | > loader_time: 0.00260 (0.00237)  --> STEP: 1192/1391 -- GLOBAL_STEP: 37975 | > D_mse_gan_loss: 0.38344 (0.34566) | > D_mse_gan_real_loss: 0.05914 (0.02649) | > D_mse_gan_fake_loss: 0.03007 (0.02848) | > loss_0: 0.38344 (0.34566) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27950 (0.28914) | > G_mse_fake_loss: 0.48269 (0.49810) | > G_feat_match_loss: 0.04810 (0.06422) | > G_gen_loss: 12.57731 (13.01146) | > G_adv_loss: 5.67799 (7.43412) | > loss_1: 18.25531 (20.44557) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04660 (1.05071) | > loader_time: 0.00190 (0.00237)  --> STEP: 1217/1391 -- GLOBAL_STEP: 38000 | > D_mse_gan_loss: 0.38616 (0.34681) | > D_mse_gan_real_loss: 0.04054 (0.02698) | > D_mse_gan_fake_loss: 0.04928 (0.02897) | > loss_0: 0.38616 (0.34681) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30354 (0.28932) | > G_mse_fake_loss: 0.41976 (0.49652) | > G_feat_match_loss: 0.04703 (0.06392) | > G_gen_loss: 13.65922 (13.01948) | > G_adv_loss: 5.49860 (7.39944) | > loss_1: 19.15782 (20.41892) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04950 (1.05098) | > loader_time: 0.00190 (0.00237) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_38000.pth  --> STEP: 1242/1391 -- GLOBAL_STEP: 38025 | > D_mse_gan_loss: 0.38967 (0.34742) | > D_mse_gan_real_loss: 0.03140 (0.02714) | > D_mse_gan_fake_loss: 0.06228 (0.02916) | > loss_0: 0.38967 (0.34742) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30738 (0.28951) | > G_mse_fake_loss: 0.40079 (0.49528) | > G_feat_match_loss: 0.04700 (0.06369) | > G_gen_loss: 13.83203 (13.02792) | > G_adv_loss: 5.47647 (7.37423) | > loss_1: 19.30850 (20.40215) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05640 (1.05103) | > loader_time: 0.00220 (0.00237)  --> STEP: 1267/1391 -- GLOBAL_STEP: 38050 | > D_mse_gan_loss: 0.41673 (0.34811) | > D_mse_gan_real_loss: 0.00633 (0.02730) | > D_mse_gan_fake_loss: 0.12362 (0.02943) | > loss_0: 0.41673 (0.34811) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28330 (0.28970) | > G_mse_fake_loss: 0.36209 (0.49428) | > G_feat_match_loss: 0.04428 (0.06350) | > G_gen_loss: 12.74862 (13.03652) | > G_adv_loss: 5.14425 (7.35180) | > loss_1: 17.89287 (20.38832) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04870 (1.05107) | > loader_time: 0.00220 (0.00237)  --> STEP: 1292/1391 -- GLOBAL_STEP: 38075 | > D_mse_gan_loss: 0.40473 (0.34862) | > D_mse_gan_real_loss: 0.08179 (0.02752) | > D_mse_gan_fake_loss: 0.01787 (0.02965) | > loss_0: 0.40473 (0.34862) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28841 (0.28967) | > G_mse_fake_loss: 0.46093 (0.49334) | > G_feat_match_loss: 0.04414 (0.06333) | > G_gen_loss: 12.97839 (13.03528) | > G_adv_loss: 5.22760 (7.33295) | > loss_1: 18.20599 (20.36824) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04770 (1.05097) | > loader_time: 0.00240 (0.00236)  --> STEP: 1317/1391 -- GLOBAL_STEP: 38100 | > D_mse_gan_loss: 0.36973 (0.34882) | > D_mse_gan_real_loss: 0.01012 (0.02736) | > D_mse_gan_fake_loss: 0.01671 (0.02967) | > loss_0: 0.36973 (0.34882) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31116 (0.28976) | > G_mse_fake_loss: 0.46006 (0.49283) | > G_feat_match_loss: 0.05251 (0.06326) | > G_gen_loss: 14.00226 (13.03921) | > G_adv_loss: 6.13160 (7.32485) | > loss_1: 20.13385 (20.36405) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04540 (1.05093) | > loader_time: 0.00230 (0.00236)  --> STEP: 1342/1391 -- GLOBAL_STEP: 38125 | > D_mse_gan_loss: 0.28534 (0.34910) | > D_mse_gan_real_loss: 0.00712 (0.02747) | > D_mse_gan_fake_loss: 0.00662 (0.02992) | > loss_0: 0.28534 (0.34910) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.33408 (0.28996) | > G_mse_fake_loss: 0.64649 (0.49289) | > G_feat_match_loss: 0.09770 (0.06322) | > G_gen_loss: 15.03338 (13.04817) | > G_adv_loss: 11.19792 (7.32116) | > loss_1: 26.23130 (20.36933) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05091) | > loader_time: 0.00230 (0.00236)  --> STEP: 1367/1391 -- GLOBAL_STEP: 38150 | > D_mse_gan_loss: 0.36227 (0.34805) | > D_mse_gan_real_loss: 0.00107 (0.02701) | > D_mse_gan_fake_loss: 0.03711 (0.02961) | > loss_0: 0.36227 (0.34805) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30093 (0.29031) | > G_mse_fake_loss: 0.39409 (0.49455) | > G_feat_match_loss: 0.06254 (0.06365) | > G_gen_loss: 13.54194 (13.06396) | > G_adv_loss: 7.14806 (7.36898) | > loss_1: 20.68999 (20.43294) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04940 (1.05090) | > loader_time: 0.00230 (0.00236)  > EVALUATION  --> EVAL PERFORMANCE | > avg_loader_time: 0.00258 (+0.00013) | > avg_D_mse_gan_loss: 0.36152 (+0.01647) | > avg_D_mse_gan_real_loss: 0.00523 (-0.01272) | > avg_D_mse_gan_fake_loss: 0.07950 (+0.05012) | > avg_loss_0: 0.36152 (+0.01647) | > avg_G_l1_spec_loss: 0.31951 (+0.00268) | > avg_G_mse_fake_loss: 0.43185 (-0.03391) | > avg_G_feat_match_loss: 0.06209 (-0.00147) | > avg_G_gen_loss: 14.37811 (+0.12051) | > avg_G_adv_loss: 7.13794 (-0.19254) | > avg_loss_1: 21.51606 (-0.07203)  > EPOCH: 3/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 05:48:11)   --> STEP: 1/1391 -- GLOBAL_STEP: 38175 | > D_mse_gan_loss: 0.36079 (0.36079) | > D_mse_gan_real_loss: 0.03242 (0.03242) | > D_mse_gan_fake_loss: 0.04309 (0.04309) | > loss_0: 0.36079 (0.36079) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29242 (0.29242) | > G_mse_fake_loss: 0.45362 (0.45362) | > G_feat_match_loss: 0.06123 (0.06123) | > G_gen_loss: 13.15905 (13.15905) | > G_adv_loss: 7.06685 (7.06685) | > loss_1: 20.22590 (20.22590) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04490 (1.04487) | > loader_time: 0.00200 (0.00196)  --> STEP: 26/1391 -- GLOBAL_STEP: 38200 | > D_mse_gan_loss: 0.34630 (0.38239) | > D_mse_gan_real_loss: 0.00859 (0.09005) | > D_mse_gan_fake_loss: 0.03785 (0.04648) | > loss_0: 0.34630 (0.38239) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27778 (0.28805) | > G_mse_fake_loss: 0.43417 (0.47112) | > G_feat_match_loss: 0.06398 (0.05953) | > G_gen_loss: 12.50000 (12.96240) | > G_adv_loss: 7.34393 (6.90054) | > loss_1: 19.84393 (19.86294) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05340 (1.06096) | > loader_time: 0.00190 (0.00237)  --> STEP: 51/1391 -- GLOBAL_STEP: 38225 | > D_mse_gan_loss: 0.33877 (0.38109) | > D_mse_gan_real_loss: 0.02046 (0.06332) | > D_mse_gan_fake_loss: 0.00514 (0.04590) | > loss_0: 0.33877 (0.38109) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29012 (0.29058) | > G_mse_fake_loss: 0.49022 (0.46071) | > G_feat_match_loss: 0.06398 (0.05836) | > G_gen_loss: 13.05558 (13.07603) | > G_adv_loss: 7.40011 (6.76330) | > loss_1: 20.45569 (19.83933) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04630 (1.05601) | > loader_time: 0.00230 (0.00234)  --> STEP: 76/1391 -- GLOBAL_STEP: 38250 | > D_mse_gan_loss: 0.39292 (0.37030) | > D_mse_gan_real_loss: 0.07212 (0.05046) | > D_mse_gan_fake_loss: 0.00815 (0.04072) | > loss_0: 0.39292 (0.37030) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27748 (0.29068) | > G_mse_fake_loss: 0.46330 (0.47239) | > G_feat_match_loss: 0.06248 (0.06098) | > G_gen_loss: 12.48658 (13.08042) | > G_adv_loss: 7.21135 (7.05827) | > loss_1: 19.69793 (20.13869) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04770 (1.05314) | > loader_time: 0.00200 (0.00231)  --> STEP: 101/1391 -- GLOBAL_STEP: 38275 | > D_mse_gan_loss: 0.41042 (0.36879) | > D_mse_gan_real_loss: 0.04216 (0.04814) | > D_mse_gan_fake_loss: 0.08088 (0.04072) | > loss_0: 0.41042 (0.36879) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28435 (0.28989) | > G_mse_fake_loss: 0.39155 (0.47412) | > G_feat_match_loss: 0.05497 (0.06149) | > G_gen_loss: 12.79570 (13.04522) | > G_adv_loss: 6.32782 (7.11471) | > loss_1: 19.12352 (20.15993) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04760 (1.05153) | > loader_time: 0.00190 (0.00233)  --> STEP: 126/1391 -- GLOBAL_STEP: 38300 | > D_mse_gan_loss: 0.39050 (0.36834) | > D_mse_gan_real_loss: 0.02273 (0.04684) | > D_mse_gan_fake_loss: 0.11292 (0.03999) | > loss_0: 0.39050 (0.36834) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29139 (0.29079) | > G_mse_fake_loss: 0.46842 (0.47271) | > G_feat_match_loss: 0.05636 (0.06114) | > G_gen_loss: 13.11261 (13.08550) | > G_adv_loss: 6.55485 (7.07583) | > loss_1: 19.66747 (20.16132) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04680 (1.05084) | > loader_time: 0.00200 (0.00233)  --> STEP: 151/1391 -- GLOBAL_STEP: 38325 | > D_mse_gan_loss: 0.32170 (0.36563) | > D_mse_gan_real_loss: 0.00893 (0.04439) | > D_mse_gan_fake_loss: 0.02467 (0.03870) | > loss_0: 0.32170 (0.36563) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28787 (0.29161) | > G_mse_fake_loss: 0.49042 (0.47429) | > G_feat_match_loss: 0.06737 (0.06175) | > G_gen_loss: 12.95430 (13.12233) | > G_adv_loss: 7.76690 (7.14289) | > loss_1: 20.72120 (20.26523) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04900 (1.05063) | > loader_time: 0.00260 (0.00231)  --> STEP: 176/1391 -- GLOBAL_STEP: 38350 | > D_mse_gan_loss: 0.32297 (0.36295) | > D_mse_gan_real_loss: 0.00350 (0.04220) | > D_mse_gan_fake_loss: 0.01635 (0.03789) | > loss_0: 0.32297 (0.36295) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28432 (0.29165) | > G_mse_fake_loss: 0.51529 (0.47658) | > G_feat_match_loss: 0.07066 (0.06224) | > G_gen_loss: 12.79446 (13.12417) | > G_adv_loss: 8.14647 (7.19890) | > loss_1: 20.94093 (20.32307) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04590 (1.05032) | > loader_time: 0.00230 (0.00230)  --> STEP: 201/1391 -- GLOBAL_STEP: 38375 | > D_mse_gan_loss: 0.34829 (0.36130) | > D_mse_gan_real_loss: 0.04028 (0.03990) | > D_mse_gan_fake_loss: 0.02447 (0.03736) | > loss_0: 0.34829 (0.36130) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28745 (0.29140) | > G_mse_fake_loss: 0.49334 (0.47862) | > G_feat_match_loss: 0.06346 (0.06266) | > G_gen_loss: 12.93534 (13.11320) | > G_adv_loss: 7.34735 (7.24596) | > loss_1: 20.28269 (20.35916) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04800 (1.04994) | > loader_time: 0.00200 (0.00231)  --> STEP: 226/1391 -- GLOBAL_STEP: 38400 | > D_mse_gan_loss: 0.34079 (0.35831) | > D_mse_gan_real_loss: 0.01819 (0.03703) | > D_mse_gan_fake_loss: 0.07651 (0.03555) | > loss_0: 0.34079 (0.35831) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27952 (0.29151) | > G_mse_fake_loss: 0.45959 (0.48267) | > G_feat_match_loss: 0.06304 (0.06357) | > G_gen_loss: 12.57831 (13.11812) | > G_adv_loss: 7.26759 (7.34827) | > loss_1: 19.84590 (20.46639) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04730 (1.04965) | > loader_time: 0.00240 (0.00233)  --> STEP: 251/1391 -- GLOBAL_STEP: 38425 | > D_mse_gan_loss: 0.34634 (0.35689) | > D_mse_gan_real_loss: 0.05921 (0.03514) | > D_mse_gan_fake_loss: 0.01037 (0.03420) | > loss_0: 0.34634 (0.35689) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28334 (0.29115) | > G_mse_fake_loss: 0.50231 (0.48456) | > G_feat_match_loss: 0.06901 (0.06385) | > G_gen_loss: 12.75026 (13.10181) | > G_adv_loss: 7.95501 (7.38027) | > loss_1: 20.70526 (20.48208) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04810 (1.05060) | > loader_time: 0.00190 (0.00237)  --> STEP: 276/1391 -- GLOBAL_STEP: 38450 | > D_mse_gan_loss: 0.32560 (0.35659) | > D_mse_gan_real_loss: 0.02676 (0.03491) | > D_mse_gan_fake_loss: 0.00156 (0.03432) | > loss_0: 0.32560 (0.35659) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28851 (0.29092) | > G_mse_fake_loss: 0.52036 (0.48443) | > G_feat_match_loss: 0.06620 (0.06387) | > G_gen_loss: 12.98316 (13.09143) | > G_adv_loss: 7.66952 (7.38200) | > loss_1: 20.65268 (20.47343) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04540 (1.05030) | > loader_time: 0.00270 (0.00237)  --> STEP: 301/1391 -- GLOBAL_STEP: 38475 | > D_mse_gan_loss: 0.35284 (0.35536) | > D_mse_gan_real_loss: 0.02510 (0.03394) | > D_mse_gan_fake_loss: 0.00799 (0.03373) | > loss_0: 0.35284 (0.35536) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28296 (0.29062) | > G_mse_fake_loss: 0.44161 (0.48646) | > G_feat_match_loss: 0.06290 (0.06420) | > G_gen_loss: 12.73329 (13.07811) | > G_adv_loss: 7.23509 (7.41981) | > loss_1: 19.96838 (20.49792) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04790 (1.05008) | > loader_time: 0.00250 (0.00236)  --> STEP: 326/1391 -- GLOBAL_STEP: 38500 | > D_mse_gan_loss: 0.32128 (0.35368) | > D_mse_gan_real_loss: 0.02329 (0.03236) | > D_mse_gan_fake_loss: 0.00075 (0.03223) | > loss_0: 0.32128 (0.35368) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27899 (0.29058) | > G_mse_fake_loss: 0.53269 (0.48926) | > G_feat_match_loss: 0.07101 (0.06471) | > G_gen_loss: 12.55438 (13.07630) | > G_adv_loss: 8.20153 (7.47837) | > loss_1: 20.75591 (20.55468) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04830 (1.04994) | > loader_time: 0.00190 (0.00234)  --> STEP: 351/1391 -- GLOBAL_STEP: 38525 | > D_mse_gan_loss: 0.38138 (0.35532) | > D_mse_gan_real_loss: 0.04668 (0.03346) | > D_mse_gan_fake_loss: 0.07317 (0.03376) | > loss_0: 0.38138 (0.35532) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28608 (0.29001) | > G_mse_fake_loss: 0.43777 (0.48783) | > G_feat_match_loss: 0.05668 (0.06441) | > G_gen_loss: 12.87375 (13.05060) | > G_adv_loss: 6.55929 (7.44400) | > loss_1: 19.43304 (20.49460) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.04988) | > loader_time: 0.00210 (0.00234)  --> STEP: 376/1391 -- GLOBAL_STEP: 38550 | > D_mse_gan_loss: 0.36250 (0.35436) | > D_mse_gan_real_loss: 0.00359 (0.03274) | > D_mse_gan_fake_loss: 0.06143 (0.03308) | > loss_0: 0.36250 (0.35436) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28659 (0.28993) | > G_mse_fake_loss: 0.47132 (0.48779) | > G_feat_match_loss: 0.06801 (0.06452) | > G_gen_loss: 12.89647 (13.04667) | > G_adv_loss: 7.81666 (7.45572) | > loss_1: 20.71313 (20.50239) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04810 (1.04978) | > loader_time: 0.00240 (0.00233)  --> STEP: 401/1391 -- GLOBAL_STEP: 38575 | > D_mse_gan_loss: 0.31622 (0.35387) | > D_mse_gan_real_loss: 0.01950 (0.03233) | > D_mse_gan_fake_loss: 0.00066 (0.03294) | > loss_0: 0.31622 (0.35387) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31043 (0.28992) | > G_mse_fake_loss: 0.54465 (0.48855) | > G_feat_match_loss: 0.07815 (0.06461) | > G_gen_loss: 13.96943 (13.04623) | > G_adv_loss: 8.98480 (7.46602) | > loss_1: 22.95423 (20.51225) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04320 (1.04967) | > loader_time: 0.00280 (0.00233)  --> STEP: 426/1391 -- GLOBAL_STEP: 38600 | > D_mse_gan_loss: 0.31766 (0.35235) | > D_mse_gan_real_loss: 0.01841 (0.03106) | > D_mse_gan_fake_loss: 0.01389 (0.03257) | > loss_0: 0.31766 (0.35235) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28201 (0.28956) | > G_mse_fake_loss: 0.53658 (0.49002) | > G_feat_match_loss: 0.06993 (0.06499) | > G_gen_loss: 12.69050 (13.03004) | > G_adv_loss: 8.08860 (7.50893) | > loss_1: 20.77911 (20.53897) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04690 (1.04960) | > loader_time: 0.00280 (0.00233)  --> STEP: 451/1391 -- GLOBAL_STEP: 38625 | > D_mse_gan_loss: 0.35118 (0.35227) | > D_mse_gan_real_loss: 0.00559 (0.03086) | > D_mse_gan_fake_loss: 0.04152 (0.03218) | > loss_0: 0.35118 (0.35227) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28313 (0.28939) | > G_mse_fake_loss: 0.49142 (0.49123) | > G_feat_match_loss: 0.06558 (0.06511) | > G_gen_loss: 12.74085 (13.02253) | > G_adv_loss: 7.57423 (7.52281) | > loss_1: 20.31507 (20.54533) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04910 (1.04951) | > loader_time: 0.00190 (0.00233)  --> STEP: 476/1391 -- GLOBAL_STEP: 38650 | > D_mse_gan_loss: 0.30040 (0.35277) | > D_mse_gan_real_loss: 0.01005 (0.03098) | > D_mse_gan_fake_loss: 0.01044 (0.03303) | > loss_0: 0.30040 (0.35277) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28808 (0.28932) | > G_mse_fake_loss: 0.54828 (0.49002) | > G_feat_match_loss: 0.07382 (0.06489) | > G_gen_loss: 12.96343 (13.01943) | > G_adv_loss: 8.52044 (7.49785) | > loss_1: 21.48387 (20.51728) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04780 (1.04985) | > loader_time: 0.00190 (0.00235)  --> STEP: 501/1391 -- GLOBAL_STEP: 38675 | > D_mse_gan_loss: 0.37104 (0.35216) | > D_mse_gan_real_loss: 0.04955 (0.03034) | > D_mse_gan_fake_loss: 0.03030 (0.03282) | > loss_0: 0.37104 (0.35216) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29002 (0.28915) | > G_mse_fake_loss: 0.44157 (0.49081) | > G_feat_match_loss: 0.05464 (0.06504) | > G_gen_loss: 13.05077 (13.01175) | > G_adv_loss: 6.34235 (7.51467) | > loss_1: 19.39312 (20.52642) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.04976) | > loader_time: 0.00240 (0.00235)  --> STEP: 526/1391 -- GLOBAL_STEP: 38700 | > D_mse_gan_loss: 0.29472 (0.35203) | > D_mse_gan_real_loss: 0.00119 (0.03018) | > D_mse_gan_fake_loss: 0.00045 (0.03254) | > loss_0: 0.29472 (0.35203) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29334 (0.28915) | > G_mse_fake_loss: 0.56893 (0.49067) | > G_feat_match_loss: 0.08047 (0.06502) | > G_gen_loss: 13.20038 (13.01163) | > G_adv_loss: 9.26015 (7.51266) | > loss_1: 22.46053 (20.52429) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04830 (1.04969) | > loader_time: 0.00200 (0.00234)  --> STEP: 551/1391 -- GLOBAL_STEP: 38725 | > D_mse_gan_loss: 0.35064 (0.35109) | > D_mse_gan_real_loss: 0.00472 (0.02935) | > D_mse_gan_fake_loss: 0.00036 (0.03226) | > loss_0: 0.35064 (0.35109) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30684 (0.28912) | > G_mse_fake_loss: 0.48881 (0.49191) | > G_feat_match_loss: 0.06126 (0.06529) | > G_gen_loss: 13.80774 (13.01056) | > G_adv_loss: 7.10477 (7.54300) | > loss_1: 20.91250 (20.55357) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05100 (1.04961) | > loader_time: 0.00220 (0.00234)  --> STEP: 576/1391 -- GLOBAL_STEP: 38750 | > D_mse_gan_loss: 0.35631 (0.35021) | > D_mse_gan_real_loss: 0.03374 (0.02850) | > D_mse_gan_fake_loss: 0.01145 (0.03152) | > loss_0: 0.35631 (0.35021) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29635 (0.28900) | > G_mse_fake_loss: 0.54401 (0.49301) | > G_feat_match_loss: 0.06531 (0.06544) | > G_gen_loss: 13.33595 (13.00521) | > G_adv_loss: 7.59707 (7.56032) | > loss_1: 20.93301 (20.56553) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04770 (1.04955) | > loader_time: 0.00200 (0.00233)  --> STEP: 601/1391 -- GLOBAL_STEP: 38775 | > D_mse_gan_loss: 0.38235 (0.34883) | > D_mse_gan_real_loss: 0.00363 (0.02751) | > D_mse_gan_fake_loss: 0.13573 (0.03091) | > loss_0: 0.38235 (0.34883) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27499 (0.28892) | > G_mse_fake_loss: 0.48236 (0.49433) | > G_feat_match_loss: 0.05896 (0.06578) | > G_gen_loss: 12.37465 (13.00133) | > G_adv_loss: 6.85050 (7.59840) | > loss_1: 19.22515 (20.59973) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04680 (1.04953) | > loader_time: 0.00200 (0.00233)  --> STEP: 626/1391 -- GLOBAL_STEP: 38800 | > D_mse_gan_loss: 0.30258 (0.34849) | > D_mse_gan_real_loss: 0.01726 (0.02732) | > D_mse_gan_fake_loss: 0.00046 (0.03057) | > loss_0: 0.30258 (0.34849) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28638 (0.28912) | > G_mse_fake_loss: 0.56489 (0.49486) | > G_feat_match_loss: 0.07252 (0.06588) | > G_gen_loss: 12.88712 (13.01061) | > G_adv_loss: 8.39727 (7.61014) | > loss_1: 21.28438 (20.62075) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05270 (1.04946) | > loader_time: 0.00190 (0.00235)  --> STEP: 651/1391 -- GLOBAL_STEP: 38825 | > D_mse_gan_loss: 0.30437 (0.34858) | > D_mse_gan_real_loss: 0.00567 (0.02702) | > D_mse_gan_fake_loss: 0.00090 (0.03083) | > loss_0: 0.30437 (0.34858) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28833 (0.28895) | > G_mse_fake_loss: 0.52608 (0.49515) | > G_feat_match_loss: 0.08007 (0.06596) | > G_gen_loss: 12.97507 (13.00297) | > G_adv_loss: 9.17333 (7.61878) | > loss_1: 22.14840 (20.62176) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05080 (1.04941) | > loader_time: 0.00200 (0.00234)  --> STEP: 676/1391 -- GLOBAL_STEP: 38850 | > D_mse_gan_loss: 0.32630 (0.34759) | > D_mse_gan_real_loss: 0.01046 (0.02627) | > D_mse_gan_fake_loss: 0.01943 (0.03036) | > loss_0: 0.32630 (0.34759) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27463 (0.28899) | > G_mse_fake_loss: 0.51015 (0.49591) | > G_feat_match_loss: 0.07116 (0.06619) | > G_gen_loss: 12.35855 (13.00436) | > G_adv_loss: 8.19547 (7.64389) | > loss_1: 20.55401 (20.64824) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05160 (1.04938) | > loader_time: 0.00260 (0.00234)  --> STEP: 701/1391 -- GLOBAL_STEP: 38875 | > D_mse_gan_loss: 0.35586 (0.34715) | > D_mse_gan_real_loss: 0.03083 (0.02587) | > D_mse_gan_fake_loss: 0.02443 (0.02997) | > loss_0: 0.35586 (0.34715) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29242 (0.28896) | > G_mse_fake_loss: 0.50177 (0.49628) | > G_feat_match_loss: 0.06223 (0.06624) | > G_gen_loss: 13.15907 (13.00327) | > G_adv_loss: 7.22270 (7.65015) | > loss_1: 20.38177 (20.65342) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04740 (1.04969) | > loader_time: 0.00190 (0.00234)  --> STEP: 726/1391 -- GLOBAL_STEP: 38900 | > D_mse_gan_loss: 0.36617 (0.34632) | > D_mse_gan_real_loss: 0.00147 (0.02574) | > D_mse_gan_fake_loss: 0.05858 (0.02971) | > loss_0: 0.36617 (0.34632) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28716 (0.28893) | > G_mse_fake_loss: 0.49937 (0.49733) | > G_feat_match_loss: 0.07152 (0.06651) | > G_gen_loss: 12.92232 (13.00191) | > G_adv_loss: 8.22373 (7.68042) | > loss_1: 21.14605 (20.68233) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04580 (1.04964) | > loader_time: 0.00230 (0.00234)  --> STEP: 751/1391 -- GLOBAL_STEP: 38925 | > D_mse_gan_loss: 0.29902 (0.34554) | > D_mse_gan_real_loss: 0.00053 (0.02540) | > D_mse_gan_fake_loss: 0.00135 (0.02920) | > loss_0: 0.29902 (0.34554) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27230 (0.28869) | > G_mse_fake_loss: 0.54161 (0.49866) | > G_feat_match_loss: 0.07964 (0.06680) | > G_gen_loss: 12.25367 (12.99091) | > G_adv_loss: 9.14309 (7.71264) | > loss_1: 21.39676 (20.70356) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05310 (1.04962) | > loader_time: 0.00270 (0.00234)  --> STEP: 776/1391 -- GLOBAL_STEP: 38950 | > D_mse_gan_loss: 0.32055 (0.34482) | > D_mse_gan_real_loss: 0.00636 (0.02477) | > D_mse_gan_fake_loss: 0.00810 (0.02869) | > loss_0: 0.32055 (0.34482) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26738 (0.28850) | > G_mse_fake_loss: 0.51842 (0.49961) | > G_feat_match_loss: 0.07536 (0.06698) | > G_gen_loss: 12.03198 (12.98238) | > G_adv_loss: 8.65695 (7.73349) | > loss_1: 20.68893 (20.71586) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04800 (1.04956) | > loader_time: 0.00190 (0.00233)  --> STEP: 801/1391 -- GLOBAL_STEP: 38975 | > D_mse_gan_loss: 0.34636 (0.34504) | > D_mse_gan_real_loss: 0.07027 (0.02500) | > D_mse_gan_fake_loss: 0.00303 (0.02883) | > loss_0: 0.34636 (0.34504) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28048 (0.28830) | > G_mse_fake_loss: 0.57361 (0.49975) | > G_feat_match_loss: 0.07316 (0.06698) | > G_gen_loss: 12.62161 (12.97358) | > G_adv_loss: 8.47533 (7.73329) | > loss_1: 21.09695 (20.70687) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04870 (1.04956) | > loader_time: 0.00200 (0.00233)  --> STEP: 826/1391 -- GLOBAL_STEP: 39000 | > D_mse_gan_loss: 0.40092 (0.34530) | > D_mse_gan_real_loss: 0.01548 (0.02507) | > D_mse_gan_fake_loss: 0.09923 (0.02918) | > loss_0: 0.40092 (0.34530) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29253 (0.28830) | > G_mse_fake_loss: 0.40226 (0.49930) | > G_feat_match_loss: 0.05393 (0.06690) | > G_gen_loss: 13.16401 (12.97364) | > G_adv_loss: 6.22643 (7.72479) | > loss_1: 19.39044 (20.69843) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05620 (1.04952) | > loader_time: 0.00260 (0.00233) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_39000.pth  --> STEP: 851/1391 -- GLOBAL_STEP: 39025 | > D_mse_gan_loss: 0.27593 (0.34503) | > D_mse_gan_real_loss: 0.00063 (0.02502) | > D_mse_gan_fake_loss: 0.00012 (0.02911) | > loss_0: 0.27593 (0.34503) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29331 (0.28848) | > G_mse_fake_loss: 0.61769 (0.49953) | > G_feat_match_loss: 0.08894 (0.06692) | > G_gen_loss: 13.19884 (12.98156) | > G_adv_loss: 10.22344 (7.72647) | > loss_1: 23.42228 (20.70803) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.06570 (1.04965) | > loader_time: 0.00210 (0.00234)  --> STEP: 876/1391 -- GLOBAL_STEP: 39050 | > D_mse_gan_loss: 0.30834 (0.34437) | > D_mse_gan_real_loss: 0.00704 (0.02459) | > D_mse_gan_fake_loss: 0.00099 (0.02879) | > loss_0: 0.30834 (0.34437) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29292 (0.28829) | > G_mse_fake_loss: 0.56219 (0.50049) | > G_feat_match_loss: 0.07479 (0.06712) | > G_gen_loss: 13.18137 (12.97308) | > G_adv_loss: 8.63954 (7.74934) | > loss_1: 21.82091 (20.72243) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.04974) | > loader_time: 0.00220 (0.00234)  --> STEP: 901/1391 -- GLOBAL_STEP: 39075 | > D_mse_gan_loss: 0.32211 (0.34447) | > D_mse_gan_real_loss: 0.00782 (0.02454) | > D_mse_gan_fake_loss: 0.02122 (0.02882) | > loss_0: 0.32211 (0.34447) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27238 (0.28819) | > G_mse_fake_loss: 0.52670 (0.50054) | > G_feat_match_loss: 0.06885 (0.06711) | > G_gen_loss: 12.25707 (12.96844) | > G_adv_loss: 7.96252 (7.74817) | > loss_1: 20.21959 (20.71661) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.07950 (1.04979) | > loader_time: 0.00270 (0.00234)  --> STEP: 926/1391 -- GLOBAL_STEP: 39100 | > D_mse_gan_loss: 0.35401 (0.34454) | > D_mse_gan_real_loss: 0.00914 (0.02439) | > D_mse_gan_fake_loss: 0.02407 (0.02881) | > loss_0: 0.35401 (0.34454) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28770 (0.28819) | > G_mse_fake_loss: 0.47402 (0.50030) | > G_feat_match_loss: 0.06222 (0.06708) | > G_gen_loss: 12.94628 (12.96852) | > G_adv_loss: 7.19326 (7.74541) | > loss_1: 20.13953 (20.71392) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04600 (1.04976) | > loader_time: 0.00200 (0.00233)  --> STEP: 951/1391 -- GLOBAL_STEP: 39125 | > D_mse_gan_loss: 0.29493 (0.34439) | > D_mse_gan_real_loss: 0.01219 (0.02437) | > D_mse_gan_fake_loss: 0.00056 (0.02870) | > loss_0: 0.29493 (0.34439) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28274 (0.28819) | > G_mse_fake_loss: 0.54286 (0.50036) | > G_feat_match_loss: 0.07648 (0.06710) | > G_gen_loss: 12.72346 (12.96861) | > G_adv_loss: 8.80293 (7.74721) | > loss_1: 21.52639 (20.71582) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05100 (1.04974) | > loader_time: 0.00220 (0.00233)  --> STEP: 976/1391 -- GLOBAL_STEP: 39150 | > D_mse_gan_loss: 0.29979 (0.34403) | > D_mse_gan_real_loss: 0.02093 (0.02422) | > D_mse_gan_fake_loss: 0.00022 (0.02862) | > loss_0: 0.29979 (0.34403) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31668 (0.28810) | > G_mse_fake_loss: 0.54550 (0.50077) | > G_feat_match_loss: 0.07299 (0.06718) | > G_gen_loss: 14.25055 (12.96447) | > G_adv_loss: 8.42871 (7.75604) | > loss_1: 22.67925 (20.72050) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04850 (1.04972) | > loader_time: 0.00220 (0.00233)  --> STEP: 1001/1391 -- GLOBAL_STEP: 39175 | > D_mse_gan_loss: 0.29630 (0.34304) | > D_mse_gan_real_loss: 0.00221 (0.02367) | > D_mse_gan_fake_loss: 0.00007 (0.02806) | > loss_0: 0.29630 (0.34304) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28219 (0.28825) | > G_mse_fake_loss: 0.54842 (0.50212) | > G_feat_match_loss: 0.07884 (0.06750) | > G_gen_loss: 12.69865 (12.97111) | > G_adv_loss: 9.06282 (7.79247) | > loss_1: 21.76147 (20.76358) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04670 (1.04970) | > loader_time: 0.00250 (0.00233)  --> STEP: 1026/1391 -- GLOBAL_STEP: 39200 | > D_mse_gan_loss: 0.29653 (0.34257) | > D_mse_gan_real_loss: 0.00077 (0.02343) | > D_mse_gan_fake_loss: 0.00073 (0.02788) | > loss_0: 0.29653 (0.34257) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28598 (0.28817) | > G_mse_fake_loss: 0.56172 (0.50281) | > G_feat_match_loss: 0.07827 (0.06762) | > G_gen_loss: 12.86896 (12.96750) | > G_adv_loss: 9.01485 (7.80555) | > loss_1: 21.88380 (20.77305) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04570 (1.04965) | > loader_time: 0.00200 (0.00232)  --> STEP: 1051/1391 -- GLOBAL_STEP: 39225 | > D_mse_gan_loss: 0.28278 (0.34238) | > D_mse_gan_real_loss: 0.00105 (0.02337) | > D_mse_gan_fake_loss: 0.00005 (0.02788) | > loss_0: 0.28278 (0.34238) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28550 (0.28812) | > G_mse_fake_loss: 0.59073 (0.50331) | > G_feat_match_loss: 0.08978 (0.06770) | > G_gen_loss: 12.84747 (12.96543) | > G_adv_loss: 10.28704 (7.81446) | > loss_1: 23.13451 (20.77989) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04900 (1.04961) | > loader_time: 0.00230 (0.00232)  --> STEP: 1076/1391 -- GLOBAL_STEP: 39250 | > D_mse_gan_loss: 0.33418 (0.34161) | > D_mse_gan_real_loss: 0.00551 (0.02295) | > D_mse_gan_fake_loss: 0.00013 (0.02739) | > loss_0: 0.33418 (0.34161) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29312 (0.28810) | > G_mse_fake_loss: 0.51711 (0.50451) | > G_feat_match_loss: 0.07691 (0.06797) | > G_gen_loss: 13.19058 (12.96469) | > G_adv_loss: 8.82348 (7.84556) | > loss_1: 22.01406 (20.81026) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04870 (1.04958) | > loader_time: 0.00200 (0.00232)  --> STEP: 1101/1391 -- GLOBAL_STEP: 39275 | > D_mse_gan_loss: 0.31283 (0.34117) | > D_mse_gan_real_loss: 0.00692 (0.02273) | > D_mse_gan_fake_loss: 0.00011 (0.02719) | > loss_0: 0.31283 (0.34117) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30153 (0.28792) | > G_mse_fake_loss: 0.56459 (0.50512) | > G_feat_match_loss: 0.08111 (0.06810) | > G_gen_loss: 13.56907 (12.95657) | > G_adv_loss: 9.32411 (7.85978) | > loss_1: 22.89319 (20.81635) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04960 (1.04954) | > loader_time: 0.00260 (0.00232)  --> STEP: 1126/1391 -- GLOBAL_STEP: 39300 | > D_mse_gan_loss: 0.40529 (0.34205) | > D_mse_gan_real_loss: 0.04845 (0.02391) | > D_mse_gan_fake_loss: 0.08683 (0.02742) | > loss_0: 0.40529 (0.34205) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27268 (0.28780) | > G_mse_fake_loss: 0.41538 (0.50471) | > G_feat_match_loss: 0.05486 (0.06795) | > G_gen_loss: 12.27071 (12.95078) | > G_adv_loss: 6.34009 (7.84324) | > loss_1: 18.61081 (20.79402) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.07680 (1.04976) | > loader_time: 0.00250 (0.00232)  --> STEP: 1151/1391 -- GLOBAL_STEP: 39325 | > D_mse_gan_loss: 0.39510 (0.34289) | > D_mse_gan_real_loss: 0.05494 (0.02467) | > D_mse_gan_fake_loss: 0.06417 (0.02791) | > loss_0: 0.39510 (0.34289) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29084 (0.28783) | > G_mse_fake_loss: 0.41101 (0.50325) | > G_feat_match_loss: 0.05224 (0.06767) | > G_gen_loss: 13.08767 (12.95246) | > G_adv_loss: 6.05341 (7.81112) | > loss_1: 19.14108 (20.76358) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04710 (1.04974) | > loader_time: 0.00250 (0.00232)  --> STEP: 1176/1391 -- GLOBAL_STEP: 39350 | > D_mse_gan_loss: 0.30132 (0.34137) | > D_mse_gan_real_loss: 0.02248 (0.02473) | > D_mse_gan_fake_loss: 0.09359 (0.02801) | > loss_0: 0.30132 (0.34137) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30742 (0.28822) | > G_mse_fake_loss: 0.59752 (0.50598) | > G_feat_match_loss: 0.08951 (0.06817) | > G_gen_loss: 13.83371 (12.97010) | > G_adv_loss: 10.26437 (7.86866) | > loss_1: 24.09808 (20.83876) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04580 (1.04969) | > loader_time: 0.00260 (0.00232)  --> STEP: 1201/1391 -- GLOBAL_STEP: 39375 | > D_mse_gan_loss: 0.35323 (0.34172) | > D_mse_gan_real_loss: 0.04475 (0.02533) | > D_mse_gan_fake_loss: 0.07198 (0.02820) | > loss_0: 0.35323 (0.34172) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27681 (0.28827) | > G_mse_fake_loss: 0.44544 (0.50582) | > G_feat_match_loss: 0.06346 (0.06818) | > G_gen_loss: 12.45650 (12.97205) | > G_adv_loss: 7.29935 (7.86895) | > loss_1: 19.75585 (20.84101) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04980 (1.04966) | > loader_time: 0.00240 (0.00232)  --> STEP: 1226/1391 -- GLOBAL_STEP: 39400 | > D_mse_gan_loss: 0.35155 (0.34212) | > D_mse_gan_real_loss: 0.03421 (0.02577) | > D_mse_gan_fake_loss: 0.06504 (0.02863) | > loss_0: 0.35155 (0.34212) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29403 (0.28825) | > G_mse_fake_loss: 0.47956 (0.50486) | > G_feat_match_loss: 0.05937 (0.06800) | > G_gen_loss: 13.23152 (12.97123) | > G_adv_loss: 6.89131 (7.84890) | > loss_1: 20.12283 (20.82013) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04890 (1.04964) | > loader_time: 0.00200 (0.00231)  --> STEP: 1251/1391 -- GLOBAL_STEP: 39425 | > D_mse_gan_loss: 0.35330 (0.34253) | > D_mse_gan_real_loss: 0.03465 (0.02622) | > D_mse_gan_fake_loss: 0.07135 (0.02900) | > loss_0: 0.35330 (0.34253) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29415 (0.28830) | > G_mse_fake_loss: 0.46781 (0.50405) | > G_feat_match_loss: 0.06205 (0.06784) | > G_gen_loss: 13.23653 (12.97336) | > G_adv_loss: 7.16923 (7.83081) | > loss_1: 20.40576 (20.80416) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04920 (1.04962) | > loader_time: 0.00260 (0.00231)  --> STEP: 1276/1391 -- GLOBAL_STEP: 39450 | > D_mse_gan_loss: 0.36074 (0.34276) | > D_mse_gan_real_loss: 0.01961 (0.02636) | > D_mse_gan_fake_loss: 0.08707 (0.02931) | > loss_0: 0.36074 (0.34276) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30208 (0.28847) | > G_mse_fake_loss: 0.44557 (0.50353) | > G_feat_match_loss: 0.06544 (0.06773) | > G_gen_loss: 13.59356 (12.98113) | > G_adv_loss: 7.51339 (7.81861) | > loss_1: 21.10695 (20.79973) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.04960) | > loader_time: 0.00260 (0.00231)  --> STEP: 1301/1391 -- GLOBAL_STEP: 39475 | > D_mse_gan_loss: 0.31996 (0.34271) | > D_mse_gan_real_loss: 0.01646 (0.02639) | > D_mse_gan_fake_loss: 0.04290 (0.02947) | > loss_0: 0.31996 (0.34271) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28460 (0.28853) | > G_mse_fake_loss: 0.49917 (0.50371) | > G_feat_match_loss: 0.07568 (0.06778) | > G_gen_loss: 12.80714 (12.98365) | > G_adv_loss: 8.67256 (7.82358) | > loss_1: 21.47971 (20.80723) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04950 (1.04959) | > loader_time: 0.00220 (0.00231)  --> STEP: 1326/1391 -- GLOBAL_STEP: 39500 | > D_mse_gan_loss: 0.34754 (0.34295) | > D_mse_gan_real_loss: 0.04488 (0.02657) | > D_mse_gan_fake_loss: 0.00943 (0.02978) | > loss_0: 0.34754 (0.34295) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28907 (0.28848) | > G_mse_fake_loss: 0.55290 (0.50339) | > G_feat_match_loss: 0.06732 (0.06770) | > G_gen_loss: 13.00810 (12.98159) | > G_adv_loss: 7.82303 (7.81546) | > loss_1: 20.83112 (20.79705) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04560 (1.04956) | > loader_time: 0.00260 (0.00231)  --> STEP: 1351/1391 -- GLOBAL_STEP: 39525 | > D_mse_gan_loss: 0.35217 (0.34308) | > D_mse_gan_real_loss: 0.02499 (0.02667) | > D_mse_gan_fake_loss: 0.02522 (0.02993) | > loss_0: 0.35217 (0.34308) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28378 (0.28850) | > G_mse_fake_loss: 0.46566 (0.50307) | > G_feat_match_loss: 0.05977 (0.06765) | > G_gen_loss: 12.76996 (12.98252) | > G_adv_loss: 6.92103 (7.80884) | > loss_1: 19.69098 (20.79136) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04580 (1.04974) | > loader_time: 0.00200 (0.00231)  --> STEP: 1376/1391 -- GLOBAL_STEP: 39550 | > D_mse_gan_loss: 0.37701 (0.34378) | > D_mse_gan_real_loss: 0.03744 (0.02731) | > D_mse_gan_fake_loss: 0.06690 (0.03041) | > loss_0: 0.37701 (0.34378) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30002 (0.28846) | > G_mse_fake_loss: 0.45153 (0.50242) | > G_feat_match_loss: 0.05846 (0.06749) | > G_gen_loss: 13.50093 (12.98078) | > G_adv_loss: 6.76563 (7.79115) | > loss_1: 20.26656 (20.77193) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04560 (1.04973) | > loader_time: 0.00200 (0.00231)  > EVALUATION  --> EVAL PERFORMANCE | > avg_loader_time: 0.00239 (-0.00020) | > avg_D_mse_gan_loss: 0.39271 (+0.03119) | > avg_D_mse_gan_real_loss: 0.01044 (+0.00520) | > avg_D_mse_gan_fake_loss: 0.11980 (+0.04030) | > avg_loss_0: 0.39271 (+0.03119) | > avg_G_l1_spec_loss: 0.31369 (-0.00582) | > avg_G_mse_fake_loss: 0.37794 (-0.05391) | > avg_G_feat_match_loss: 0.05269 (-0.00941) | > avg_G_gen_loss: 14.11618 (-0.26193) | > avg_G_adv_loss: 6.06796 (-1.06999) | > avg_loss_1: 20.18413 (-1.33192)  > EPOCH: 4/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 06:13:25)   --> STEP: 10/1391 -- GLOBAL_STEP: 39575 | > D_mse_gan_loss: 0.33511 (0.37548) | > D_mse_gan_real_loss: 0.02537 (0.04760) | > D_mse_gan_fake_loss: 0.04932 (0.04686) | > loss_0: 0.33511 (0.37548) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31623 (0.29519) | > G_mse_fake_loss: 0.44234 (0.44266) | > G_feat_match_loss: 0.06642 (0.06000) | > G_gen_loss: 14.23015 (13.28375) | > G_adv_loss: 7.61603 (6.92281) | > loss_1: 21.84618 (20.20657) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.04567) | > loader_time: 0.00240 (0.00244)  --> STEP: 35/1391 -- GLOBAL_STEP: 39600 | > D_mse_gan_loss: 0.41085 (0.36998) | > D_mse_gan_real_loss: 0.06752 (0.04507) | > D_mse_gan_fake_loss: 0.05119 (0.04640) | > loss_0: 0.41085 (0.36998) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30598 (0.29545) | > G_mse_fake_loss: 0.43107 (0.44717) | > G_feat_match_loss: 0.04760 (0.06003) | > G_gen_loss: 13.76904 (13.29543) | > G_adv_loss: 5.57155 (6.93093) | > loss_1: 19.34058 (20.22635) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05110 (1.05004) | > loader_time: 0.00230 (0.00237)  --> STEP: 60/1391 -- GLOBAL_STEP: 39625 | > D_mse_gan_loss: 0.37456 (0.36396) | > D_mse_gan_real_loss: 0.09475 (0.04573) | > D_mse_gan_fake_loss: 0.01924 (0.04642) | > loss_0: 0.37456 (0.36396) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28873 (0.29529) | > G_mse_fake_loss: 0.51593 (0.45838) | > G_feat_match_loss: 0.06661 (0.06200) | > G_gen_loss: 12.99307 (13.28800) | > G_adv_loss: 7.70986 (7.15474) | > loss_1: 20.70292 (20.44274) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04740 (1.04936) | > loader_time: 0.00230 (0.00231)  --> STEP: 85/1391 -- GLOBAL_STEP: 39650 | > D_mse_gan_loss: 0.35051 (0.36304) | > D_mse_gan_real_loss: 0.03676 (0.04599) | > D_mse_gan_fake_loss: 0.03897 (0.04634) | > loss_0: 0.35051 (0.36304) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28427 (0.29435) | > G_mse_fake_loss: 0.47111 (0.46314) | > G_feat_match_loss: 0.06051 (0.06285) | > G_gen_loss: 12.79198 (13.24576) | > G_adv_loss: 7.00664 (7.25144) | > loss_1: 19.79862 (20.49721) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04970 (1.04851) | > loader_time: 0.00230 (0.00229)  --> STEP: 110/1391 -- GLOBAL_STEP: 39675 | > D_mse_gan_loss: 0.36689 (0.36447) | > D_mse_gan_real_loss: 0.03559 (0.04524) | > D_mse_gan_fake_loss: 0.06474 (0.04568) | > loss_0: 0.36689 (0.36447) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30121 (0.29417) | > G_mse_fake_loss: 0.41863 (0.46222) | > G_feat_match_loss: 0.05540 (0.06250) | > G_gen_loss: 13.55431 (13.23775) | > G_adv_loss: 6.40172 (7.21180) | > loss_1: 19.95603 (20.44956) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04760 (1.04835) | > loader_time: 0.00240 (0.00230)  --> STEP: 135/1391 -- GLOBAL_STEP: 39700 | > D_mse_gan_loss: 0.32990 (0.36350) | > D_mse_gan_real_loss: 0.04462 (0.04419) | > D_mse_gan_fake_loss: 0.01181 (0.04535) | > loss_0: 0.32990 (0.36350) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28934 (0.29379) | > G_mse_fake_loss: 0.51912 (0.46375) | > G_feat_match_loss: 0.06878 (0.06291) | > G_gen_loss: 13.02052 (13.22077) | > G_adv_loss: 7.94687 (7.25836) | > loss_1: 20.96739 (20.47913) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04800 (1.04833) | > loader_time: 0.00200 (0.00232)  --> STEP: 160/1391 -- GLOBAL_STEP: 39725 | > D_mse_gan_loss: 0.32529 (0.36302) | > D_mse_gan_real_loss: 0.00866 (0.04278) | > D_mse_gan_fake_loss: 0.03990 (0.04439) | > loss_0: 0.32529 (0.36302) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30993 (0.29620) | > G_mse_fake_loss: 0.48785 (0.46587) | > G_feat_match_loss: 0.07098 (0.06314) | > G_gen_loss: 13.94703 (13.32897) | > G_adv_loss: 8.15421 (7.28466) | > loss_1: 22.10124 (20.61363) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05080 (1.04831) | > loader_time: 0.00200 (0.00231)  --> STEP: 185/1391 -- GLOBAL_STEP: 39750 | > D_mse_gan_loss: 0.39123 (0.36109) | > D_mse_gan_real_loss: 0.02589 (0.04298) | > D_mse_gan_fake_loss: 0.09540 (0.04560) | > loss_0: 0.39123 (0.36109) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27468 (0.29559) | > G_mse_fake_loss: 0.41303 (0.46957) | > G_feat_match_loss: 0.06388 (0.06391) | > G_gen_loss: 12.36059 (13.30139) | > G_adv_loss: 7.31253 (7.37209) | > loss_1: 19.67312 (20.67348) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04870 (1.05026) | > loader_time: 0.00200 (0.00232)  --> STEP: 210/1391 -- GLOBAL_STEP: 39775 | > D_mse_gan_loss: 0.31723 (0.36098) | > D_mse_gan_real_loss: 0.03451 (0.04305) | > D_mse_gan_fake_loss: 0.02168 (0.04567) | > loss_0: 0.31723 (0.36098) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30072 (0.29546) | > G_mse_fake_loss: 0.50840 (0.47026) | > G_feat_match_loss: 0.07471 (0.06408) | > G_gen_loss: 13.53234 (13.29555) | > G_adv_loss: 8.57727 (7.39142) | > loss_1: 22.10962 (20.68698) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04700 (1.05021) | > loader_time: 0.00210 (0.00233)  --> STEP: 235/1391 -- GLOBAL_STEP: 39800 | > D_mse_gan_loss: 0.34868 (0.35934) | > D_mse_gan_real_loss: 0.03228 (0.04174) | > D_mse_gan_fake_loss: 0.06191 (0.04528) | > loss_0: 0.34868 (0.35934) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29907 (0.29602) | > G_mse_fake_loss: 0.46262 (0.47309) | > G_feat_match_loss: 0.06723 (0.06470) | > G_gen_loss: 13.45824 (13.32068) | > G_adv_loss: 7.72317 (7.46062) | > loss_1: 21.18141 (20.78130) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04700 (1.05001) | > loader_time: 0.00210 (0.00231)  --> STEP: 260/1391 -- GLOBAL_STEP: 39825 | > D_mse_gan_loss: 0.33330 (0.35904) | > D_mse_gan_real_loss: 0.06951 (0.04126) | > D_mse_gan_fake_loss: 0.01280 (0.04446) | > loss_0: 0.33330 (0.35904) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30640 (0.29616) | > G_mse_fake_loss: 0.47938 (0.47571) | > G_feat_match_loss: 0.06900 (0.06516) | > G_gen_loss: 13.78792 (13.32730) | > G_adv_loss: 7.93137 (7.51270) | > loss_1: 21.71929 (20.84000) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04670 (1.04999) | > loader_time: 0.00270 (0.00232)  --> STEP: 285/1391 -- GLOBAL_STEP: 39850 | > D_mse_gan_loss: 0.36517 (0.35826) | > D_mse_gan_real_loss: 0.04667 (0.03993) | > D_mse_gan_fake_loss: 0.01211 (0.04394) | > loss_0: 0.36517 (0.35826) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29184 (0.29586) | > G_mse_fake_loss: 0.60651 (0.47712) | > G_feat_match_loss: 0.07599 (0.06530) | > G_gen_loss: 13.13262 (13.31391) | > G_adv_loss: 8.81310 (7.52934) | > loss_1: 21.94571 (20.84324) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04980 (1.04994) | > loader_time: 0.00190 (0.00230)  --> STEP: 310/1391 -- GLOBAL_STEP: 39875 | > D_mse_gan_loss: 0.31322 (0.35722) | > D_mse_gan_real_loss: 0.00409 (0.03861) | > D_mse_gan_fake_loss: 0.01217 (0.04367) | > loss_0: 0.31322 (0.35722) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29223 (0.29555) | > G_mse_fake_loss: 0.57283 (0.47908) | > G_feat_match_loss: 0.08112 (0.06566) | > G_gen_loss: 13.15057 (13.29958) | > G_adv_loss: 9.33328 (7.56988) | > loss_1: 22.48385 (20.86947) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05150 (1.04989) | > loader_time: 0.00200 (0.00229)  --> STEP: 335/1391 -- GLOBAL_STEP: 39900 | > D_mse_gan_loss: 0.32460 (0.35669) | > D_mse_gan_real_loss: 0.02020 (0.03738) | > D_mse_gan_fake_loss: 0.00118 (0.04338) | > loss_0: 0.32460 (0.35669) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27600 (0.29558) | > G_mse_fake_loss: 0.54953 (0.48046) | > G_feat_match_loss: 0.07573 (0.06584) | > G_gen_loss: 12.41997 (13.30122) | > G_adv_loss: 8.72801 (7.59098) | > loss_1: 21.14798 (20.89220) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05240 (1.04982) | > loader_time: 0.00230 (0.00229)  --> STEP: 360/1391 -- GLOBAL_STEP: 39925 | > D_mse_gan_loss: 0.33099 (0.35547) | > D_mse_gan_real_loss: 0.01629 (0.03623) | > D_mse_gan_fake_loss: 0.03358 (0.04255) | > loss_0: 0.33099 (0.35547) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27645 (0.29501) | > G_mse_fake_loss: 0.48600 (0.48233) | > G_feat_match_loss: 0.06737 (0.06622) | > G_gen_loss: 12.44006 (13.27556) | > G_adv_loss: 7.76208 (7.63403) | > loss_1: 20.20214 (20.90960) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05330 (1.04979) | > loader_time: 0.00250 (0.00228)  --> STEP: 385/1391 -- GLOBAL_STEP: 39950 | > D_mse_gan_loss: 0.29228 (0.35349) | > D_mse_gan_real_loss: 0.00373 (0.03477) | > D_mse_gan_fake_loss: 0.00476 (0.04125) | > loss_0: 0.29228 (0.35349) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29211 (0.29493) | > G_mse_fake_loss: 0.57610 (0.48535) | > G_feat_match_loss: 0.08369 (0.06678) | > G_gen_loss: 13.14516 (13.27166) | > G_adv_loss: 9.61440 (7.69750) | > loss_1: 22.75956 (20.96916) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04750 (1.04982) | > loader_time: 0.00260 (0.00228)  --> STEP: 410/1391 -- GLOBAL_STEP: 39975 | > D_mse_gan_loss: 0.32417 (0.35259) | > D_mse_gan_real_loss: 0.05606 (0.03471) | > D_mse_gan_fake_loss: 0.00442 (0.04114) | > loss_0: 0.32417 (0.35259) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29525 (0.29503) | > G_mse_fake_loss: 0.52688 (0.48719) | > G_feat_match_loss: 0.08468 (0.06708) | > G_gen_loss: 13.28611 (13.27627) | > G_adv_loss: 9.67191 (7.73146) | > loss_1: 22.95802 (21.00774) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04320 (1.05056) | > loader_time: 0.00280 (0.00232)  --> STEP: 435/1391 -- GLOBAL_STEP: 40000 | > D_mse_gan_loss: 0.45226 (0.35190) | > D_mse_gan_real_loss: 0.00810 (0.03429) | > D_mse_gan_fake_loss: 0.15175 (0.04126) | > loss_0: 0.45226 (0.35190) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29557 (0.29490) | > G_mse_fake_loss: 0.36458 (0.48828) | > G_feat_match_loss: 0.05051 (0.06734) | > G_gen_loss: 13.30053 (13.27061) | > G_adv_loss: 5.82006 (7.76110) | > loss_1: 19.12059 (21.03172) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.05047) | > loader_time: 0.00250 (0.00232) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_40000.pth  --> STEP: 460/1391 -- GLOBAL_STEP: 40025 | > D_mse_gan_loss: 0.35116 (0.35144) | > D_mse_gan_real_loss: 0.01366 (0.03550) | > D_mse_gan_fake_loss: 0.02739 (0.04029) | > loss_0: 0.35116 (0.35144) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28886 (0.29455) | > G_mse_fake_loss: 0.47597 (0.49049) | > G_feat_match_loss: 0.06346 (0.06765) | > G_gen_loss: 12.99856 (13.25490) | > G_adv_loss: 7.32918 (7.79663) | > loss_1: 20.32774 (21.05153) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05390 (1.05052) | > loader_time: 0.00210 (0.00232)  --> STEP: 485/1391 -- GLOBAL_STEP: 40050 | > D_mse_gan_loss: 0.31530 (0.35153) | > D_mse_gan_real_loss: 0.01631 (0.03478) | > D_mse_gan_fake_loss: 0.00807 (0.04069) | > loss_0: 0.31530 (0.35153) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28499 (0.29413) | > G_mse_fake_loss: 0.51995 (0.48958) | > G_feat_match_loss: 0.07188 (0.06757) | > G_gen_loss: 12.82467 (13.23590) | > G_adv_loss: 8.28307 (7.78711) | > loss_1: 21.10774 (21.02301) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04860 (1.05061) | > loader_time: 0.00240 (0.00232)  --> STEP: 510/1391 -- GLOBAL_STEP: 40075 | > D_mse_gan_loss: 0.32858 (0.35020) | > D_mse_gan_real_loss: 0.01127 (0.03410) | > D_mse_gan_fake_loss: 0.01775 (0.03992) | > loss_0: 0.32858 (0.35020) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29140 (0.29381) | > G_mse_fake_loss: 0.50490 (0.49088) | > G_feat_match_loss: 0.06898 (0.06781) | > G_gen_loss: 13.11319 (13.22149) | > G_adv_loss: 7.95509 (7.81457) | > loss_1: 21.06828 (21.03606) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04680 (1.05050) | > loader_time: 0.00220 (0.00231)  --> STEP: 535/1391 -- GLOBAL_STEP: 40100 | > D_mse_gan_loss: 0.30343 (0.34888) | > D_mse_gan_real_loss: 0.00344 (0.03310) | > D_mse_gan_fake_loss: 0.00542 (0.03903) | > loss_0: 0.30343 (0.34888) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30332 (0.29380) | > G_mse_fake_loss: 0.52233 (0.49250) | > G_feat_match_loss: 0.07619 (0.06814) | > G_gen_loss: 13.64929 (13.22111) | > G_adv_loss: 8.75135 (7.85198) | > loss_1: 22.40064 (21.07309) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05010 (1.05035) | > loader_time: 0.00240 (0.00231)  --> STEP: 560/1391 -- GLOBAL_STEP: 40125 | > D_mse_gan_loss: 0.36434 (0.34797) | > D_mse_gan_real_loss: 0.00435 (0.03217) | > D_mse_gan_fake_loss: 0.11221 (0.03849) | > loss_0: 0.36434 (0.34797) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29622 (0.29372) | > G_mse_fake_loss: 0.48126 (0.49341) | > G_feat_match_loss: 0.07079 (0.06837) | > G_gen_loss: 13.32993 (13.21734) | > G_adv_loss: 8.12682 (7.87740) | > loss_1: 21.45675 (21.09474) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05280 (1.05023) | > loader_time: 0.00250 (0.00232)  --> STEP: 585/1391 -- GLOBAL_STEP: 40150 | > D_mse_gan_loss: 0.31910 (0.34715) | > D_mse_gan_real_loss: 0.02264 (0.03154) | > D_mse_gan_fake_loss: 0.00090 (0.03788) | > loss_0: 0.31910 (0.34715) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28263 (0.29348) | > G_mse_fake_loss: 0.53393 (0.49521) | > G_feat_match_loss: 0.07131 (0.06868) | > G_gen_loss: 12.71843 (13.20646) | > G_adv_loss: 8.23562 (7.91243) | > loss_1: 20.95405 (21.11888) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.05016) | > loader_time: 0.00280 (0.00232)  --> STEP: 610/1391 -- GLOBAL_STEP: 40175 | > D_mse_gan_loss: 0.30145 (0.34606) | > D_mse_gan_real_loss: 0.01140 (0.03081) | > D_mse_gan_fake_loss: 0.00085 (0.03688) | > loss_0: 0.30145 (0.34606) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29360 (0.29333) | > G_mse_fake_loss: 0.54396 (0.49685) | > G_feat_match_loss: 0.08349 (0.06894) | > G_gen_loss: 13.21216 (13.20005) | > G_adv_loss: 9.56054 (7.94290) | > loss_1: 22.77270 (21.14295) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04700 (1.05007) | > loader_time: 0.00270 (0.00232)  --> STEP: 635/1391 -- GLOBAL_STEP: 40200 | > D_mse_gan_loss: 0.28738 (0.34504) | > D_mse_gan_real_loss: 0.01021 (0.03003) | > D_mse_gan_fake_loss: 0.00043 (0.03643) | > loss_0: 0.28738 (0.34504) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28422 (0.29311) | > G_mse_fake_loss: 0.57771 (0.49820) | > G_feat_match_loss: 0.08409 (0.06925) | > G_gen_loss: 12.78975 (13.18974) | > G_adv_loss: 9.65974 (7.97684) | > loss_1: 22.44948 (21.16658) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05270 (1.05054) | > loader_time: 0.00230 (0.00233)  --> STEP: 660/1391 -- GLOBAL_STEP: 40225 | > D_mse_gan_loss: 0.36834 (0.34350) | > D_mse_gan_real_loss: 0.00055 (0.02923) | > D_mse_gan_fake_loss: 0.13435 (0.03561) | > loss_0: 0.36834 (0.34350) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27896 (0.29282) | > G_mse_fake_loss: 0.46952 (0.50040) | > G_feat_match_loss: 0.07608 (0.06974) | > G_gen_loss: 12.55309 (13.17691) | > G_adv_loss: 8.68668 (8.03270) | > loss_1: 21.23977 (21.20961) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04980 (1.05047) | > loader_time: 0.00200 (0.00233)  --> STEP: 685/1391 -- GLOBAL_STEP: 40250 | > D_mse_gan_loss: 0.34673 (0.34241) | > D_mse_gan_real_loss: 0.00139 (0.02853) | > D_mse_gan_fake_loss: 0.09193 (0.03485) | > loss_0: 0.34673 (0.34241) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27545 (0.29260) | > G_mse_fake_loss: 0.51862 (0.50161) | > G_feat_match_loss: 0.07648 (0.07003) | > G_gen_loss: 12.39520 (13.16696) | > G_adv_loss: 8.77899 (8.06471) | > loss_1: 21.17419 (21.23168) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04770 (1.05043) | > loader_time: 0.00200 (0.00232)  --> STEP: 710/1391 -- GLOBAL_STEP: 40275 | > D_mse_gan_loss: 0.34270 (0.34164) | > D_mse_gan_real_loss: 0.11270 (0.02826) | > D_mse_gan_fake_loss: 0.00449 (0.03439) | > loss_0: 0.34270 (0.34164) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28563 (0.29243) | > G_mse_fake_loss: 0.53391 (0.50268) | > G_feat_match_loss: 0.07877 (0.07026) | > G_gen_loss: 12.85352 (13.15931) | > G_adv_loss: 9.04087 (8.09078) | > loss_1: 21.89439 (21.25008) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05180 (1.05039) | > loader_time: 0.00210 (0.00232)  --> STEP: 735/1391 -- GLOBAL_STEP: 40300 | > D_mse_gan_loss: 0.30971 (0.34174) | > D_mse_gan_real_loss: 0.01419 (0.02815) | > D_mse_gan_fake_loss: 0.03126 (0.03433) | > loss_0: 0.30971 (0.34174) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27665 (0.29218) | > G_mse_fake_loss: 0.51383 (0.50273) | > G_feat_match_loss: 0.07478 (0.07026) | > G_gen_loss: 12.44906 (13.14797) | > G_adv_loss: 8.59012 (8.09106) | > loss_1: 21.03919 (21.23903) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05010 (1.05036) | > loader_time: 0.00190 (0.00232)  --> STEP: 760/1391 -- GLOBAL_STEP: 40325 | > D_mse_gan_loss: 0.31458 (0.34155) | > D_mse_gan_real_loss: 0.02142 (0.02790) | > D_mse_gan_fake_loss: 0.02710 (0.03401) | > loss_0: 0.31458 (0.34155) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28686 (0.29204) | > G_mse_fake_loss: 0.50603 (0.50272) | > G_feat_match_loss: 0.07549 (0.07026) | > G_gen_loss: 12.90879 (13.14196) | > G_adv_loss: 8.65867 (8.09060) | > loss_1: 21.56746 (21.23256) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04570 (1.05035) | > loader_time: 0.00260 (0.00232)  --> STEP: 785/1391 -- GLOBAL_STEP: 40350 | > D_mse_gan_loss: 0.25662 (0.34100) | > D_mse_gan_real_loss: 0.00153 (0.02759) | > D_mse_gan_fake_loss: 0.00089 (0.03374) | > loss_0: 0.25662 (0.34100) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.32405 (0.29210) | > G_mse_fake_loss: 0.67368 (0.50363) | > G_feat_match_loss: 0.10021 (0.07044) | > G_gen_loss: 14.58224 (13.14433) | > G_adv_loss: 11.49627 (8.11150) | > loss_1: 26.07851 (21.25583) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04820 (1.05032) | > loader_time: 0.00240 (0.00232)  --> STEP: 810/1391 -- GLOBAL_STEP: 40375 | > D_mse_gan_loss: 0.35100 (0.33923) | > D_mse_gan_real_loss: 0.00630 (0.02681) | > D_mse_gan_fake_loss: 0.02184 (0.03293) | > loss_0: 0.35100 (0.33923) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29280 (0.29207) | > G_mse_fake_loss: 0.46393 (0.50633) | > G_feat_match_loss: 0.07520 (0.07105) | > G_gen_loss: 13.17615 (13.14313) | > G_adv_loss: 8.58582 (8.17984) | > loss_1: 21.76198 (21.32298) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.05030) | > loader_time: 0.00230 (0.00232)  --> STEP: 835/1391 -- GLOBAL_STEP: 40400 | > D_mse_gan_loss: 0.33729 (0.33883) | > D_mse_gan_real_loss: 0.03030 (0.02644) | > D_mse_gan_fake_loss: 0.00036 (0.03264) | > loss_0: 0.33729 (0.33883) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31195 (0.29192) | > G_mse_fake_loss: 0.52020 (0.50697) | > G_feat_match_loss: 0.07085 (0.07121) | > G_gen_loss: 14.03777 (13.13627) | > G_adv_loss: 8.17175 (8.19747) | > loss_1: 22.20953 (21.33374) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04820 (1.05028) | > loader_time: 0.00240 (0.00232)  --> STEP: 860/1391 -- GLOBAL_STEP: 40425 | > D_mse_gan_loss: 0.30431 (0.33855) | > D_mse_gan_real_loss: 0.01333 (0.02609) | > D_mse_gan_fake_loss: 0.00034 (0.03241) | > loss_0: 0.30431 (0.33855) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29407 (0.29176) | > G_mse_fake_loss: 0.52802 (0.50758) | > G_feat_match_loss: 0.07533 (0.07130) | > G_gen_loss: 13.23331 (13.12912) | > G_adv_loss: 8.66366 (8.20757) | > loss_1: 21.89697 (21.33669) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.07970 (1.05032) | > loader_time: 0.00680 (0.00232)  --> STEP: 885/1391 -- GLOBAL_STEP: 40450 | > D_mse_gan_loss: 0.31396 (0.33824) | > D_mse_gan_real_loss: 0.00117 (0.02597) | > D_mse_gan_fake_loss: 0.00387 (0.03214) | > loss_0: 0.31396 (0.33824) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28915 (0.29171) | > G_mse_fake_loss: 0.50856 (0.50807) | > G_feat_match_loss: 0.07561 (0.07138) | > G_gen_loss: 13.01165 (13.12697) | > G_adv_loss: 8.67467 (8.21746) | > loss_1: 21.68631 (21.34443) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05130 (1.05054) | > loader_time: 0.00220 (0.00232)  --> STEP: 910/1391 -- GLOBAL_STEP: 40475 | > D_mse_gan_loss: 0.34263 (0.33803) | > D_mse_gan_real_loss: 0.00413 (0.02571) | > D_mse_gan_fake_loss: 0.05408 (0.03196) | > loss_0: 0.34263 (0.33803) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27176 (0.29157) | > G_mse_fake_loss: 0.48274 (0.50820) | > G_feat_match_loss: 0.06807 (0.07140) | > G_gen_loss: 12.22911 (13.12044) | > G_adv_loss: 7.83428 (8.21892) | > loss_1: 20.06339 (21.33936) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.05046) | > loader_time: 0.00240 (0.00232)  --> STEP: 935/1391 -- GLOBAL_STEP: 40500 | > D_mse_gan_loss: 0.32847 (0.33776) | > D_mse_gan_real_loss: 0.04173 (0.02539) | > D_mse_gan_fake_loss: 0.02141 (0.03157) | > loss_0: 0.32847 (0.33776) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28241 (0.29143) | > G_mse_fake_loss: 0.54473 (0.50855) | > G_feat_match_loss: 0.07835 (0.07148) | > G_gen_loss: 12.70851 (13.11451) | > G_adv_loss: 9.00674 (8.22863) | > loss_1: 21.71525 (21.34314) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04890 (1.05042) | > loader_time: 0.00200 (0.00232)  --> STEP: 960/1391 -- GLOBAL_STEP: 40525 | > D_mse_gan_loss: 0.32287 (0.33693) | > D_mse_gan_real_loss: 0.00073 (0.02488) | > D_mse_gan_fake_loss: 0.07079 (0.03105) | > loss_0: 0.32287 (0.33693) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27046 (0.29136) | > G_mse_fake_loss: 0.55235 (0.50948) | > G_feat_match_loss: 0.08026 (0.07169) | > G_gen_loss: 12.17082 (13.11099) | > G_adv_loss: 9.22051 (8.25192) | > loss_1: 21.39132 (21.36292) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05070 (1.05038) | > loader_time: 0.00290 (0.00232)  --> STEP: 985/1391 -- GLOBAL_STEP: 40550 | > D_mse_gan_loss: 0.29753 (0.33593) | > D_mse_gan_real_loss: 0.00358 (0.02437) | > D_mse_gan_fake_loss: 0.00407 (0.03038) | > loss_0: 0.29753 (0.33593) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27253 (0.29122) | > G_mse_fake_loss: 0.55767 (0.51078) | > G_feat_match_loss: 0.08305 (0.07199) | > G_gen_loss: 12.26395 (13.10468) | > G_adv_loss: 9.52658 (8.28572) | > loss_1: 21.79053 (21.39040) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04440 (1.05032) | > loader_time: 0.00230 (0.00232)  --> STEP: 1010/1391 -- GLOBAL_STEP: 40575 | > D_mse_gan_loss: 0.29759 (0.33547) | > D_mse_gan_real_loss: 0.00223 (0.02403) | > D_mse_gan_fake_loss: 0.00017 (0.03017) | > loss_0: 0.29759 (0.33547) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28956 (0.29112) | > G_mse_fake_loss: 0.54746 (0.51135) | > G_feat_match_loss: 0.08321 (0.07210) | > G_gen_loss: 13.03022 (13.10036) | > G_adv_loss: 9.53421 (8.29854) | > loss_1: 22.56443 (21.39890) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05060 (1.05029) | > loader_time: 0.00260 (0.00232)  --> STEP: 1035/1391 -- GLOBAL_STEP: 40600 | > D_mse_gan_loss: 0.32639 (0.33474) | > D_mse_gan_real_loss: 0.00113 (0.02364) | > D_mse_gan_fake_loss: 0.02625 (0.02967) | > loss_0: 0.32639 (0.33474) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28587 (0.29095) | > G_mse_fake_loss: 0.54735 (0.51219) | > G_feat_match_loss: 0.08183 (0.07231) | > G_gen_loss: 12.86398 (13.09296) | > G_adv_loss: 9.38490 (8.32161) | > loss_1: 22.24888 (21.41457) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04880 (1.05022) | > loader_time: 0.00190 (0.00232)  --> STEP: 1060/1391 -- GLOBAL_STEP: 40625 | > D_mse_gan_loss: 0.35546 (0.33486) | > D_mse_gan_real_loss: 0.01504 (0.02417) | > D_mse_gan_fake_loss: 0.06135 (0.02964) | > loss_0: 0.35546 (0.33486) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29371 (0.29075) | > G_mse_fake_loss: 0.47725 (0.51227) | > G_feat_match_loss: 0.06400 (0.07229) | > G_gen_loss: 13.21712 (13.08370) | > G_adv_loss: 7.38901 (8.31991) | > loss_1: 20.60614 (21.40361) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05018) | > loader_time: 0.00240 (0.00232)  --> STEP: 1085/1391 -- GLOBAL_STEP: 40650 | > D_mse_gan_loss: 0.37863 (0.33561) | > D_mse_gan_real_loss: 0.01495 (0.02440) | > D_mse_gan_fake_loss: 0.07565 (0.03007) | > loss_0: 0.37863 (0.33561) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28474 (0.29077) | > G_mse_fake_loss: 0.47297 (0.51149) | > G_feat_match_loss: 0.06098 (0.07213) | > G_gen_loss: 12.81324 (13.08486) | > G_adv_loss: 7.05928 (8.30102) | > loss_1: 19.87252 (21.38589) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.06310 (1.05015) | > loader_time: 0.00270 (0.00232)  --> STEP: 1110/1391 -- GLOBAL_STEP: 40675 | > D_mse_gan_loss: 0.34579 (0.33600) | > D_mse_gan_real_loss: 0.06340 (0.02461) | > D_mse_gan_fake_loss: 0.02823 (0.03027) | > loss_0: 0.34579 (0.33600) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29142 (0.29076) | > G_mse_fake_loss: 0.48840 (0.51087) | > G_feat_match_loss: 0.06759 (0.07200) | > G_gen_loss: 13.11388 (13.08422) | > G_adv_loss: 7.78831 (8.28669) | > loss_1: 20.90219 (21.37091) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04820 (1.05035) | > loader_time: 0.00210 (0.00232)  --> STEP: 1135/1391 -- GLOBAL_STEP: 40700 | > D_mse_gan_loss: 0.29304 (0.33592) | > D_mse_gan_real_loss: 0.00879 (0.02458) | > D_mse_gan_fake_loss: 0.00060 (0.03003) | > loss_0: 0.29304 (0.33592) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29256 (0.29075) | > G_mse_fake_loss: 0.55818 (0.51122) | > G_feat_match_loss: 0.07450 (0.07206) | > G_gen_loss: 13.16528 (13.08373) | > G_adv_loss: 8.60433 (8.29368) | > loss_1: 21.76960 (21.37741) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04550 (1.05033) | > loader_time: 0.00290 (0.00232)  --> STEP: 1160/1391 -- GLOBAL_STEP: 40725 | > D_mse_gan_loss: 0.29129 (0.33554) | > D_mse_gan_real_loss: 0.00168 (0.02426) | > D_mse_gan_fake_loss: 0.00071 (0.02983) | > loss_0: 0.29129 (0.33554) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30354 (0.29076) | > G_mse_fake_loss: 0.59695 (0.51172) | > G_feat_match_loss: 0.08415 (0.07215) | > G_gen_loss: 13.65911 (13.08438) | > G_adv_loss: 9.68558 (8.30421) | > loss_1: 23.34469 (21.38859) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04910 (1.05028) | > loader_time: 0.00220 (0.00232)  --> STEP: 1185/1391 -- GLOBAL_STEP: 40750 | > D_mse_gan_loss: 0.29710 (0.33498) | > D_mse_gan_real_loss: 0.00118 (0.02385) | > D_mse_gan_fake_loss: 0.00035 (0.02934) | > loss_0: 0.29710 (0.33498) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28950 (0.29078) | > G_mse_fake_loss: 0.52767 (0.51264) | > G_feat_match_loss: 0.08501 (0.07234) | > G_gen_loss: 13.02745 (13.08488) | > G_adv_loss: 9.70845 (8.32580) | > loss_1: 22.73589 (21.41069) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05160 (1.05025) | > loader_time: 0.00260 (0.00232)  --> STEP: 1210/1391 -- GLOBAL_STEP: 40775 | > D_mse_gan_loss: 0.35890 (0.33481) | > D_mse_gan_real_loss: 0.00592 (0.02366) | > D_mse_gan_fake_loss: 0.02544 (0.02917) | > loss_0: 0.35890 (0.33481) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28537 (0.29063) | > G_mse_fake_loss: 0.46088 (0.51271) | > G_feat_match_loss: 0.06351 (0.07237) | > G_gen_loss: 12.84186 (13.07830) | > G_adv_loss: 7.31977 (8.32854) | > loss_1: 20.16163 (21.40684) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05022) | > loader_time: 0.00230 (0.00232)  --> STEP: 1235/1391 -- GLOBAL_STEP: 40800 | > D_mse_gan_loss: 0.35338 (0.33445) | > D_mse_gan_real_loss: 0.01308 (0.02332) | > D_mse_gan_fake_loss: 0.08917 (0.02892) | > loss_0: 0.35338 (0.33445) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30088 (0.29060) | > G_mse_fake_loss: 0.47048 (0.51317) | > G_feat_match_loss: 0.07088 (0.07245) | > G_gen_loss: 13.53978 (13.07712) | > G_adv_loss: 8.12579 (8.33789) | > loss_1: 21.66557 (21.41501) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04650 (1.05016) | > loader_time: 0.00260 (0.00231)  --> STEP: 1260/1391 -- GLOBAL_STEP: 40825 | > D_mse_gan_loss: 0.28173 (0.33392) | > D_mse_gan_real_loss: 0.00629 (0.02314) | > D_mse_gan_fake_loss: 0.00026 (0.02857) | > loss_0: 0.28173 (0.33392) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30355 (0.29050) | > G_mse_fake_loss: 0.56618 (0.51382) | > G_feat_match_loss: 0.08957 (0.07258) | > G_gen_loss: 13.65955 (13.07258) | > G_adv_loss: 10.23933 (8.35234) | > loss_1: 23.89888 (21.42492) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04650 (1.05014) | > loader_time: 0.00240 (0.00231)  --> STEP: 1285/1391 -- GLOBAL_STEP: 40850 | > D_mse_gan_loss: 0.29949 (0.33312) | > D_mse_gan_real_loss: 0.00080 (0.02275) | > D_mse_gan_fake_loss: 0.00027 (0.02817) | > loss_0: 0.29949 (0.33312) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28583 (0.29042) | > G_mse_fake_loss: 0.53316 (0.51492) | > G_feat_match_loss: 0.08785 (0.07285) | > G_gen_loss: 12.86256 (13.06899) | > G_adv_loss: 10.02064 (8.38251) | > loss_1: 22.88319 (21.45150) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04810 (1.05009) | > loader_time: 0.00230 (0.00231)  --> STEP: 1310/1391 -- GLOBAL_STEP: 40875 | > D_mse_gan_loss: 0.30974 (0.33304) | > D_mse_gan_real_loss: 0.00140 (0.02249) | > D_mse_gan_fake_loss: 0.00043 (0.02796) | > loss_0: 0.30974 (0.33304) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28267 (0.29039) | > G_mse_fake_loss: 0.56997 (0.51511) | > G_feat_match_loss: 0.08158 (0.07289) | > G_gen_loss: 12.72003 (13.06737) | > G_adv_loss: 9.38012 (8.38674) | > loss_1: 22.10015 (21.45412) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05260 (1.05006) | > loader_time: 0.00260 (0.00231)  --> STEP: 1335/1391 -- GLOBAL_STEP: 40900 | > D_mse_gan_loss: 0.32571 (0.33273) | > D_mse_gan_real_loss: 0.01122 (0.02222) | > D_mse_gan_fake_loss: 0.00975 (0.02774) | > loss_0: 0.32571 (0.33273) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29008 (0.29032) | > G_mse_fake_loss: 0.52857 (0.51547) | > G_feat_match_loss: 0.07634 (0.07297) | > G_gen_loss: 13.05350 (13.06455) | > G_adv_loss: 8.77305 (8.39649) | > loss_1: 21.82656 (21.46104) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.07490 (1.05007) | > loader_time: 0.00240 (0.00231)  --> STEP: 1360/1391 -- GLOBAL_STEP: 40925 | > D_mse_gan_loss: 0.39056 (0.33298) | > D_mse_gan_real_loss: 0.01118 (0.02250) | > D_mse_gan_fake_loss: 0.13711 (0.02788) | > loss_0: 0.39056 (0.33298) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28230 (0.29023) | > G_mse_fake_loss: 0.42303 (0.51548) | > G_feat_match_loss: 0.06771 (0.07296) | > G_gen_loss: 12.70363 (13.06015) | > G_adv_loss: 7.73545 (8.39520) | > loss_1: 20.43908 (21.45534) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.05029) | > loader_time: 0.00240 (0.00231)  --> STEP: 1385/1391 -- GLOBAL_STEP: 40950 | > D_mse_gan_loss: 0.33987 (0.33354) | > D_mse_gan_real_loss: 0.05056 (0.02281) | > D_mse_gan_fake_loss: 0.01114 (0.02836) | > loss_0: 0.33987 (0.33354) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29544 (0.29024) | > G_mse_fake_loss: 0.51568 (0.51477) | > G_feat_match_loss: 0.06731 (0.07281) | > G_gen_loss: 13.29476 (13.06071) | > G_adv_loss: 7.78464 (8.37823) | > loss_1: 21.07941 (21.43894) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04740 (1.05028) | > loader_time: 0.00270 (0.00231)  > EVALUATION  --> EVAL PERFORMANCE | > avg_loader_time: 0.00247 (+0.00009) | > avg_D_mse_gan_loss: 0.37349 (-0.01922) | > avg_D_mse_gan_real_loss: 0.02996 (+0.01953) | > avg_D_mse_gan_fake_loss: 0.05424 (-0.06556) | > avg_loss_0: 0.37349 (-0.01922) | > avg_G_l1_spec_loss: 0.31977 (+0.00608) | > avg_G_mse_fake_loss: 0.42951 (+0.05157) | > avg_G_feat_match_loss: 0.05281 (+0.00012) | > avg_G_gen_loss: 14.38985 (+0.27367) | > avg_G_adv_loss: 6.13252 (+0.06456) | > avg_loss_1: 20.52236 (+0.33823)  > EPOCH: 5/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 06:38:38)   --> STEP: 19/1391 -- GLOBAL_STEP: 40975 | > D_mse_gan_loss: 0.33663 (0.35970) | > D_mse_gan_real_loss: 0.01500 (0.03382) | > D_mse_gan_fake_loss: 0.04281 (0.03520) | > loss_0: 0.33663 (0.35970) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29236 (0.29859) | > G_mse_fake_loss: 0.46948 (0.47359) | > G_feat_match_loss: 0.06576 (0.05912) | > G_gen_loss: 13.15637 (13.43651) | > G_adv_loss: 7.57173 (6.85808) | > loss_1: 20.72810 (20.29459) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05630 (1.04868) | > loader_time: 0.00210 (0.00230)  --> STEP: 44/1391 -- GLOBAL_STEP: 41000 | > D_mse_gan_loss: 0.33562 (0.34222) | > D_mse_gan_real_loss: 0.00417 (0.02530) | > D_mse_gan_fake_loss: 0.00368 (0.02713) | > loss_0: 0.33562 (0.34222) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30828 (0.29753) | > G_mse_fake_loss: 0.49928 (0.50087) | > G_feat_match_loss: 0.06845 (0.06448) | > G_gen_loss: 13.87280 (13.38890) | > G_adv_loss: 7.89134 (7.46497) | > loss_1: 21.76414 (20.85386) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04990 (1.05041) | > loader_time: 0.00200 (0.00233) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_41000.pth  --> STEP: 69/1391 -- GLOBAL_STEP: 41025 | > D_mse_gan_loss: 0.32560 (0.33945) | > D_mse_gan_real_loss: 0.05277 (0.02187) | > D_mse_gan_fake_loss: 0.00530 (0.02841) | > loss_0: 0.32560 (0.33945) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27779 (0.29325) | > G_mse_fake_loss: 0.55017 (0.50247) | > G_feat_match_loss: 0.06860 (0.06568) | > G_gen_loss: 12.50037 (13.19629) | > G_adv_loss: 7.95859 (7.59626) | > loss_1: 20.45897 (20.79255) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05460 (1.05073) | > loader_time: 0.00200 (0.00228)  --> STEP: 94/1391 -- GLOBAL_STEP: 41050 | > D_mse_gan_loss: 0.32373 (0.33284) | > D_mse_gan_real_loss: 0.01462 (0.01841) | > D_mse_gan_fake_loss: 0.00019 (0.02368) | > loss_0: 0.32373 (0.33284) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27552 (0.29135) | > G_mse_fake_loss: 0.54952 (0.51226) | > G_feat_match_loss: 0.07070 (0.06769) | > G_gen_loss: 12.39842 (13.11069) | > G_adv_loss: 8.18541 (7.82312) | > loss_1: 20.58383 (20.93381) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05150 (1.05123) | > loader_time: 0.00240 (0.00228)  --> STEP: 119/1391 -- GLOBAL_STEP: 41075 | > D_mse_gan_loss: 0.36709 (0.33322) | > D_mse_gan_real_loss: 0.03485 (0.01785) | > D_mse_gan_fake_loss: 0.00640 (0.02257) | > loss_0: 0.36709 (0.33322) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28559 (0.28951) | > G_mse_fake_loss: 0.50491 (0.51192) | > G_feat_match_loss: 0.06251 (0.06777) | > G_gen_loss: 12.85167 (13.02807) | > G_adv_loss: 7.25556 (7.83092) | > loss_1: 20.10723 (20.85899) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04420 (1.05025) | > loader_time: 0.00200 (0.00233)  --> STEP: 144/1391 -- GLOBAL_STEP: 41100 | > D_mse_gan_loss: 0.30626 (0.33475) | > D_mse_gan_real_loss: 0.00986 (0.01834) | > D_mse_gan_fake_loss: 0.00164 (0.02499) | > loss_0: 0.30626 (0.33475) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28747 (0.28895) | > G_mse_fake_loss: 0.53879 (0.50972) | > G_feat_match_loss: 0.07132 (0.06744) | > G_gen_loss: 12.93612 (13.00279) | > G_adv_loss: 8.24115 (7.79344) | > loss_1: 21.17728 (20.79624) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04780 (1.04974) | > loader_time: 0.00190 (0.00241)  --> STEP: 169/1391 -- GLOBAL_STEP: 41125 | > D_mse_gan_loss: 0.35496 (0.33577) | > D_mse_gan_real_loss: 0.01187 (0.01786) | > D_mse_gan_fake_loss: 0.02385 (0.02475) | > loss_0: 0.35496 (0.33577) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27822 (0.28824) | > G_mse_fake_loss: 0.49423 (0.50824) | > G_feat_match_loss: 0.06227 (0.06703) | > G_gen_loss: 12.51993 (12.97093) | > G_adv_loss: 7.21954 (7.74726) | > loss_1: 19.73946 (20.71819) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.08580 (1.04986) | > loader_time: 0.00300 (0.00238)  --> STEP: 194/1391 -- GLOBAL_STEP: 41150 | > D_mse_gan_loss: 0.29143 (0.33524) | > D_mse_gan_real_loss: 0.00027 (0.01698) | > D_mse_gan_fake_loss: 0.00681 (0.02347) | > loss_0: 0.29143 (0.33524) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27424 (0.28771) | > G_mse_fake_loss: 0.49683 (0.51068) | > G_feat_match_loss: 0.07077 (0.06725) | > G_gen_loss: 12.34092 (12.94701) | > G_adv_loss: 8.14036 (7.77368) | > loss_1: 20.48128 (20.72069) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05080 (1.05131) | > loader_time: 0.00240 (0.00240)  --> STEP: 219/1391 -- GLOBAL_STEP: 41175 | > D_mse_gan_loss: 0.37472 (0.33594) | > D_mse_gan_real_loss: 0.00334 (0.01749) | > D_mse_gan_fake_loss: 0.12056 (0.02368) | > loss_0: 0.37472 (0.33594) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27155 (0.28691) | > G_mse_fake_loss: 0.46059 (0.51059) | > G_feat_match_loss: 0.06082 (0.06748) | > G_gen_loss: 12.21991 (12.91106) | > G_adv_loss: 7.02967 (7.79818) | > loss_1: 19.24958 (20.70924) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05060 (1.05116) | > loader_time: 0.00190 (0.00242)  --> STEP: 244/1391 -- GLOBAL_STEP: 41200 | > D_mse_gan_loss: 0.28483 (0.33302) | > D_mse_gan_real_loss: 0.00111 (0.01641) | > D_mse_gan_fake_loss: 0.00022 (0.02191) | > loss_0: 0.28483 (0.33302) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29566 (0.28727) | > G_mse_fake_loss: 0.58169 (0.51425) | > G_feat_match_loss: 0.08143 (0.06817) | > G_gen_loss: 13.30481 (12.92736) | > G_adv_loss: 9.37588 (7.87688) | > loss_1: 22.68068 (20.80424) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.05099) | > loader_time: 0.00200 (0.00241)  --> STEP: 269/1391 -- GLOBAL_STEP: 41225 | > D_mse_gan_loss: 0.28301 (0.33093) | > D_mse_gan_real_loss: 0.00148 (0.01548) | > D_mse_gan_fake_loss: 0.00099 (0.02130) | > loss_0: 0.28301 (0.33093) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29032 (0.28699) | > G_mse_fake_loss: 0.56581 (0.51618) | > G_feat_match_loss: 0.08303 (0.06883) | > G_gen_loss: 13.06437 (12.91452) | > G_adv_loss: 9.53350 (7.94992) | > loss_1: 22.59787 (20.86445) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05560 (1.05090) | > loader_time: 0.00200 (0.00244)  --> STEP: 294/1391 -- GLOBAL_STEP: 41250 | > D_mse_gan_loss: 0.30110 (0.32952) | > D_mse_gan_real_loss: 0.00233 (0.01477) | > D_mse_gan_fake_loss: 0.00012 (0.02124) | > loss_0: 0.30110 (0.32952) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26319 (0.28623) | > G_mse_fake_loss: 0.53957 (0.51742) | > G_feat_match_loss: 0.07247 (0.06924) | > G_gen_loss: 11.84337 (12.88043) | > G_adv_loss: 8.36589 (7.99579) | > loss_1: 20.20926 (20.87622) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04920 (1.05077) | > loader_time: 0.00210 (0.00242)  --> STEP: 319/1391 -- GLOBAL_STEP: 41275 | > D_mse_gan_loss: 0.31757 (0.32842) | > D_mse_gan_real_loss: 0.07939 (0.01462) | > D_mse_gan_fake_loss: 0.00012 (0.02024) | > loss_0: 0.31757 (0.32842) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27866 (0.28613) | > G_mse_fake_loss: 0.57393 (0.51893) | > G_feat_match_loss: 0.08046 (0.06958) | > G_gen_loss: 12.53978 (12.87576) | > G_adv_loss: 9.26399 (8.03405) | > loss_1: 21.80377 (20.90981) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04880 (1.05057) | > loader_time: 0.00200 (0.00240)  --> STEP: 344/1391 -- GLOBAL_STEP: 41300 | > D_mse_gan_loss: 0.29068 (0.32688) | > D_mse_gan_real_loss: 0.00033 (0.01384) | > D_mse_gan_fake_loss: 0.00159 (0.01904) | > loss_0: 0.29068 (0.32688) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26392 (0.28607) | > G_mse_fake_loss: 0.54291 (0.52219) | > G_feat_match_loss: 0.07680 (0.07039) | > G_gen_loss: 11.87662 (12.87318) | > G_adv_loss: 8.83737 (8.12440) | > loss_1: 20.71399 (20.99758) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05040 (1.05049) | > loader_time: 0.00250 (0.00242)  --> STEP: 369/1391 -- GLOBAL_STEP: 41325 | > D_mse_gan_loss: 0.32630 (0.32794) | > D_mse_gan_real_loss: 0.00548 (0.01456) | > D_mse_gan_fake_loss: 0.02551 (0.01981) | > loss_0: 0.32630 (0.32794) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29861 (0.28558) | > G_mse_fake_loss: 0.45063 (0.52040) | > G_feat_match_loss: 0.06140 (0.07002) | > G_gen_loss: 13.43734 (12.85125) | > G_adv_loss: 7.08204 (8.08303) | > loss_1: 20.51937 (20.93429) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04400 (1.05039) | > loader_time: 0.00270 (0.00242)  --> STEP: 394/1391 -- GLOBAL_STEP: 41350 | > D_mse_gan_loss: 0.37655 (0.32853) | > D_mse_gan_real_loss: 0.13032 (0.01492) | > D_mse_gan_fake_loss: 0.00407 (0.02032) | > loss_0: 0.37655 (0.32853) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29034 (0.28575) | > G_mse_fake_loss: 0.53648 (0.51940) | > G_feat_match_loss: 0.07275 (0.06988) | > G_gen_loss: 13.06511 (12.85887) | > G_adv_loss: 8.39333 (8.06597) | > loss_1: 21.45844 (20.92483) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05010 (1.05025) | > loader_time: 0.00280 (0.00242)  --> STEP: 419/1391 -- GLOBAL_STEP: 41375 | > D_mse_gan_loss: 0.34972 (0.32968) | > D_mse_gan_real_loss: 0.03004 (0.01605) | > D_mse_gan_fake_loss: 0.04650 (0.02136) | > loss_0: 0.34972 (0.32968) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28076 (0.28599) | > G_mse_fake_loss: 0.48533 (0.51815) | > G_feat_match_loss: 0.06643 (0.06961) | > G_gen_loss: 12.63403 (12.86970) | > G_adv_loss: 7.66025 (8.03599) | > loss_1: 20.29428 (20.90569) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04910 (1.05084) | > loader_time: 0.00260 (0.00245)  --> STEP: 444/1391 -- GLOBAL_STEP: 41400 | > D_mse_gan_loss: 0.31923 (0.33006) | > D_mse_gan_real_loss: 0.00923 (0.01583) | > D_mse_gan_fake_loss: 0.00201 (0.02151) | > loss_0: 0.31923 (0.33006) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27846 (0.28588) | > G_mse_fake_loss: 0.52919 (0.51752) | > G_feat_match_loss: 0.06674 (0.06946) | > G_gen_loss: 12.53065 (12.86446) | > G_adv_loss: 7.73726 (8.01876) | > loss_1: 20.26791 (20.88321) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.05067) | > loader_time: 0.00210 (0.00244)  --> STEP: 469/1391 -- GLOBAL_STEP: 41425 | > D_mse_gan_loss: 0.30108 (0.32998) | > D_mse_gan_real_loss: 0.00139 (0.01595) | > D_mse_gan_fake_loss: 0.00009 (0.02149) | > loss_0: 0.30108 (0.32998) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28741 (0.28590) | > G_mse_fake_loss: 0.53361 (0.51756) | > G_feat_match_loss: 0.07289 (0.06944) | > G_gen_loss: 12.93332 (12.86557) | > G_adv_loss: 8.40569 (8.01666) | > loss_1: 21.33902 (20.88222) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05210 (1.05060) | > loader_time: 0.00270 (0.00243)  --> STEP: 494/1391 -- GLOBAL_STEP: 41450 | > D_mse_gan_loss: 0.31938 (0.32933) | > D_mse_gan_real_loss: 0.03171 (0.01562) | > D_mse_gan_fake_loss: 0.00708 (0.02150) | > loss_0: 0.31938 (0.32933) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27281 (0.28544) | > G_mse_fake_loss: 0.52066 (0.51800) | > G_feat_match_loss: 0.07273 (0.06956) | > G_gen_loss: 12.27634 (12.84483) | > G_adv_loss: 8.37525 (8.03033) | > loss_1: 20.65158 (20.87516) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05060 (1.05055) | > loader_time: 0.00200 (0.00241)  --> STEP: 519/1391 -- GLOBAL_STEP: 41475 | > D_mse_gan_loss: 0.36071 (0.33047) | > D_mse_gan_real_loss: 0.00271 (0.01559) | > D_mse_gan_fake_loss: 0.00039 (0.02141) | > loss_0: 0.36071 (0.33047) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29624 (0.28547) | > G_mse_fake_loss: 0.48604 (0.51727) | > G_feat_match_loss: 0.05876 (0.06932) | > G_gen_loss: 13.33080 (12.84633) | > G_adv_loss: 6.83194 (8.00358) | > loss_1: 20.16274 (20.84991) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05045) | > loader_time: 0.00200 (0.00240)  --> STEP: 544/1391 -- GLOBAL_STEP: 41500 | > D_mse_gan_loss: 0.31648 (0.33033) | > D_mse_gan_real_loss: 0.00111 (0.01499) | > D_mse_gan_fake_loss: 0.00036 (0.02095) | > loss_0: 0.31648 (0.33033) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30569 (0.28609) | > G_mse_fake_loss: 0.53580 (0.51689) | > G_feat_match_loss: 0.07815 (0.06930) | > G_gen_loss: 13.75608 (12.87406) | > G_adv_loss: 8.97605 (8.00076) | > loss_1: 22.73213 (20.87483) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05080 (1.05039) | > loader_time: 0.00210 (0.00239)  --> STEP: 569/1391 -- GLOBAL_STEP: 41525 | > D_mse_gan_loss: 0.34050 (0.33072) | > D_mse_gan_real_loss: 0.00057 (0.01488) | > D_mse_gan_fake_loss: 0.00013 (0.02051) | > loss_0: 0.34050 (0.33072) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30807 (0.28624) | > G_mse_fake_loss: 0.50270 (0.51658) | > G_feat_match_loss: 0.06813 (0.06926) | > G_gen_loss: 13.86320 (12.88082) | > G_adv_loss: 7.86079 (7.99614) | > loss_1: 21.72400 (20.87697) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04800 (1.05035) | > loader_time: 0.00210 (0.00239)  --> STEP: 594/1391 -- GLOBAL_STEP: 41550 | > D_mse_gan_loss: 0.25261 (0.33017) | > D_mse_gan_real_loss: 0.00291 (0.01438) | > D_mse_gan_fake_loss: 0.00011 (0.02001) | > loss_0: 0.25261 (0.33017) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.32841 (0.28671) | > G_mse_fake_loss: 0.61638 (0.51696) | > G_feat_match_loss: 0.08845 (0.06938) | > G_gen_loss: 14.77839 (12.90208) | > G_adv_loss: 10.16946 (8.01046) | > loss_1: 24.94785 (20.91253) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05320 (1.05033) | > loader_time: 0.00200 (0.00238)  --> STEP: 619/1391 -- GLOBAL_STEP: 41575 | > D_mse_gan_loss: 0.32243 (0.33035) | > D_mse_gan_real_loss: 0.00242 (0.01385) | > D_mse_gan_fake_loss: 0.00047 (0.01940) | > loss_0: 0.32243 (0.33035) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29939 (0.28705) | > G_mse_fake_loss: 0.52207 (0.51731) | > G_feat_match_loss: 0.06704 (0.06949) | > G_gen_loss: 13.47247 (12.91734) | > G_adv_loss: 7.76246 (8.02267) | > loss_1: 21.23494 (20.94001) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.05029) | > loader_time: 0.00260 (0.00238)  --> STEP: 644/1391 -- GLOBAL_STEP: 41600 | > D_mse_gan_loss: 0.35318 (0.33021) | > D_mse_gan_real_loss: 0.00336 (0.01348) | > D_mse_gan_fake_loss: 0.00052 (0.01882) | > loss_0: 0.35318 (0.33021) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28893 (0.28693) | > G_mse_fake_loss: 0.44640 (0.51656) | > G_feat_match_loss: 0.06225 (0.06937) | > G_gen_loss: 13.00168 (12.91167) | > G_adv_loss: 7.16926 (8.00878) | > loss_1: 20.17094 (20.92044) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04760 (1.05018) | > loader_time: 0.00230 (0.00237)  --> STEP: 669/1391 -- GLOBAL_STEP: 41625 | > D_mse_gan_loss: 0.38935 (0.33152) | > D_mse_gan_real_loss: 0.02356 (0.01354) | > D_mse_gan_fake_loss: 0.08083 (0.01913) | > loss_0: 0.38935 (0.33152) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28058 (0.28699) | > G_mse_fake_loss: 0.44830 (0.51482) | > G_feat_match_loss: 0.05284 (0.06902) | > G_gen_loss: 12.62618 (12.91463) | > G_adv_loss: 6.15512 (7.96934) | > loss_1: 18.78131 (20.88397) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04450 (1.05056) | > loader_time: 0.00200 (0.00237)  --> STEP: 694/1391 -- GLOBAL_STEP: 41650 | > D_mse_gan_loss: 0.35584 (0.33310) | > D_mse_gan_real_loss: 0.02511 (0.01427) | > D_mse_gan_fake_loss: 0.01153 (0.01957) | > loss_0: 0.35584 (0.33310) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28638 (0.28722) | > G_mse_fake_loss: 0.47448 (0.51231) | > G_feat_match_loss: 0.05853 (0.06849) | > G_gen_loss: 12.88704 (12.92489) | > G_adv_loss: 6.79592 (7.90902) | > loss_1: 19.68296 (20.83392) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04700 (1.05048) | > loader_time: 0.00220 (0.00237)  --> STEP: 719/1391 -- GLOBAL_STEP: 41675 | > D_mse_gan_loss: 0.35710 (0.33325) | > D_mse_gan_real_loss: 0.02513 (0.01429) | > D_mse_gan_fake_loss: 0.02399 (0.01959) | > loss_0: 0.35710 (0.33325) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28376 (0.28733) | > G_mse_fake_loss: 0.47984 (0.51196) | > G_feat_match_loss: 0.05997 (0.06842) | > G_gen_loss: 12.76913 (12.92992) | > G_adv_loss: 6.95655 (7.90093) | > loss_1: 19.72568 (20.83085) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05020 (1.05043) | > loader_time: 0.00260 (0.00236)  --> STEP: 744/1391 -- GLOBAL_STEP: 41700 | > D_mse_gan_loss: 0.35890 (0.33308) | > D_mse_gan_real_loss: 0.00489 (0.01409) | > D_mse_gan_fake_loss: 0.07463 (0.01948) | > loss_0: 0.35890 (0.33308) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27482 (0.28733) | > G_mse_fake_loss: 0.48665 (0.51218) | > G_feat_match_loss: 0.06959 (0.06842) | > G_gen_loss: 12.36671 (12.92974) | > G_adv_loss: 8.00215 (7.90188) | > loss_1: 20.36885 (20.83161) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04960 (1.05040) | > loader_time: 0.00260 (0.00236)  --> STEP: 769/1391 -- GLOBAL_STEP: 41725 | > D_mse_gan_loss: 0.33083 (0.33368) | > D_mse_gan_real_loss: 0.01552 (0.01431) | > D_mse_gan_fake_loss: 0.00012 (0.01976) | > loss_0: 0.33083 (0.33368) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.31211 (0.28740) | > G_mse_fake_loss: 0.51043 (0.51105) | > G_feat_match_loss: 0.07157 (0.06819) | > G_gen_loss: 14.04481 (12.93289) | > G_adv_loss: 8.24050 (7.87512) | > loss_1: 22.28531 (20.80801) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04610 (1.05032) | > loader_time: 0.00220 (0.00236)  --> STEP: 794/1391 -- GLOBAL_STEP: 41750 | > D_mse_gan_loss: 0.31882 (0.33357) | > D_mse_gan_real_loss: 0.00310 (0.01432) | > D_mse_gan_fake_loss: 0.00203 (0.01962) | > loss_0: 0.31882 (0.33357) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27974 (0.28752) | > G_mse_fake_loss: 0.50766 (0.51100) | > G_feat_match_loss: 0.06802 (0.06820) | > G_gen_loss: 12.58833 (12.93834) | > G_adv_loss: 7.85345 (7.87676) | > loss_1: 20.44178 (20.81509) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04650 (1.05028) | > loader_time: 0.00230 (0.00235)  --> STEP: 819/1391 -- GLOBAL_STEP: 41775 | > D_mse_gan_loss: 0.32100 (0.33420) | > D_mse_gan_real_loss: 0.01040 (0.01429) | > D_mse_gan_fake_loss: 0.00093 (0.01976) | > loss_0: 0.32100 (0.33420) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29643 (0.28750) | > G_mse_fake_loss: 0.52162 (0.51015) | > G_feat_match_loss: 0.06603 (0.06803) | > G_gen_loss: 13.33938 (12.93740) | > G_adv_loss: 7.65253 (7.85687) | > loss_1: 20.99191 (20.79427) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04960 (1.05021) | > loader_time: 0.00190 (0.00235)  --> STEP: 844/1391 -- GLOBAL_STEP: 41800 | > D_mse_gan_loss: 0.32901 (0.33358) | > D_mse_gan_real_loss: 0.01168 (0.01404) | > D_mse_gan_fake_loss: 0.00010 (0.01947) | > loss_0: 0.32901 (0.33358) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29637 (0.28761) | > G_mse_fake_loss: 0.52717 (0.51096) | > G_feat_match_loss: 0.06855 (0.06821) | > G_gen_loss: 13.33681 (12.94223) | > G_adv_loss: 7.93061 (7.87785) | > loss_1: 21.26742 (20.82008) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05070 (1.05016) | > loader_time: 0.00200 (0.00235)  --> STEP: 869/1391 -- GLOBAL_STEP: 41825 | > D_mse_gan_loss: 0.28976 (0.33320) | > D_mse_gan_real_loss: 0.00324 (0.01387) | > D_mse_gan_fake_loss: 0.00022 (0.01913) | > loss_0: 0.28976 (0.33320) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27879 (0.28764) | > G_mse_fake_loss: 0.54458 (0.51142) | > G_feat_match_loss: 0.07671 (0.06831) | > G_gen_loss: 12.54539 (12.94373) | > G_adv_loss: 8.82952 (7.88877) | > loss_1: 21.37491 (20.83250) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.05012) | > loader_time: 0.00270 (0.00234)  --> STEP: 894/1391 -- GLOBAL_STEP: 41850 | > D_mse_gan_loss: 0.27653 (0.33251) | > D_mse_gan_real_loss: 0.00248 (0.01367) | > D_mse_gan_fake_loss: 0.00003 (0.01893) | > loss_0: 0.27653 (0.33251) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29055 (0.28755) | > G_mse_fake_loss: 0.55276 (0.51207) | > G_feat_match_loss: 0.08533 (0.06845) | > G_gen_loss: 13.07471 (12.93973) | > G_adv_loss: 9.76802 (7.90439) | > loss_1: 22.84273 (20.84412) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04970 (1.05008) | > loader_time: 0.00200 (0.00235)  --> STEP: 919/1391 -- GLOBAL_STEP: 41875 | > D_mse_gan_loss: 0.32981 (0.33276) | > D_mse_gan_real_loss: 0.00729 (0.01368) | > D_mse_gan_fake_loss: 0.00011 (0.01898) | > loss_0: 0.32981 (0.33276) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28228 (0.28741) | > G_mse_fake_loss: 0.50291 (0.51161) | > G_feat_match_loss: 0.06623 (0.06836) | > G_gen_loss: 12.70247 (12.93338) | > G_adv_loss: 7.65586 (7.89498) | > loss_1: 20.35833 (20.82837) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04960 (1.05044) | > loader_time: 0.00200 (0.00235)  --> STEP: 944/1391 -- GLOBAL_STEP: 41900 | > D_mse_gan_loss: 0.35828 (0.33265) | > D_mse_gan_real_loss: 0.01662 (0.01342) | > D_mse_gan_fake_loss: 0.04741 (0.01871) | > loss_0: 0.35828 (0.33265) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29394 (0.28730) | > G_mse_fake_loss: 0.49614 (0.51199) | > G_feat_match_loss: 0.05910 (0.06846) | > G_gen_loss: 13.22748 (12.92844) | > G_adv_loss: 6.87878 (7.90581) | > loss_1: 20.10626 (20.83425) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04860 (1.05040) | > loader_time: 0.00260 (0.00235)  --> STEP: 969/1391 -- GLOBAL_STEP: 41925 | > D_mse_gan_loss: 0.34479 (0.33295) | > D_mse_gan_real_loss: 0.02898 (0.01392) | > D_mse_gan_fake_loss: 0.02636 (0.01894) | > loss_0: 0.34479 (0.33295) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28371 (0.28710) | > G_mse_fake_loss: 0.51610 (0.51212) | > G_feat_match_loss: 0.05926 (0.06845) | > G_gen_loss: 12.76713 (12.91934) | > G_adv_loss: 6.91601 (7.90440) | > loss_1: 19.68314 (20.82374) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04860 (1.05036) | > loader_time: 0.00250 (0.00234)  --> STEP: 994/1391 -- GLOBAL_STEP: 41950 | > D_mse_gan_loss: 0.34463 (0.33373) | > D_mse_gan_real_loss: 0.00597 (0.01422) | > D_mse_gan_fake_loss: 0.04445 (0.01949) | > loss_0: 0.34463 (0.33373) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28759 (0.28707) | > G_mse_fake_loss: 0.48422 (0.51124) | > G_feat_match_loss: 0.06253 (0.06825) | > G_gen_loss: 12.94176 (12.91812) | > G_adv_loss: 7.23779 (7.88183) | > loss_1: 20.17954 (20.79995) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04920 (1.05036) | > loader_time: 0.00280 (0.00234)  --> STEP: 1019/1391 -- GLOBAL_STEP: 41975 | > D_mse_gan_loss: 0.29519 (0.33327) | > D_mse_gan_real_loss: 0.00029 (0.01413) | > D_mse_gan_fake_loss: 0.00014 (0.01928) | > loss_0: 0.29519 (0.33327) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29800 (0.28732) | > G_mse_fake_loss: 0.57826 (0.51209) | > G_feat_match_loss: 0.08215 (0.06840) | > G_gen_loss: 13.41019 (12.92932) | > G_adv_loss: 9.45029 (7.89909) | > loss_1: 22.86047 (20.82841) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05080 (1.05033) | > loader_time: 0.00260 (0.00234)  --> STEP: 1044/1391 -- GLOBAL_STEP: 42000 | > D_mse_gan_loss: 0.30647 (0.33306) | > D_mse_gan_real_loss: 0.00065 (0.01389) | > D_mse_gan_fake_loss: 0.00911 (0.01908) | > loss_0: 0.30647 (0.33306) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27949 (0.28721) | > G_mse_fake_loss: 0.53903 (0.51226) | > G_feat_match_loss: 0.07957 (0.06847) | > G_gen_loss: 12.57692 (12.92456) | > G_adv_loss: 9.13225 (7.90747) | > loss_1: 21.70917 (20.83203) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04880 (1.05032) | > loader_time: 0.00260 (0.00234) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_42000.pth  --> STEP: 1069/1391 -- GLOBAL_STEP: 42025 | > D_mse_gan_loss: 0.40511 (0.33321) | > D_mse_gan_real_loss: 0.04078 (0.01408) | > D_mse_gan_fake_loss: 0.03842 (0.01940) | > loss_0: 0.40511 (0.33321) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30120 (0.28710) | > G_mse_fake_loss: 0.40180 (0.51196) | > G_feat_match_loss: 0.04070 (0.06841) | > G_gen_loss: 13.55404 (12.91947) | > G_adv_loss: 4.79717 (7.90004) | > loss_1: 18.35122 (20.81951) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05840 (1.05038) | > loader_time: 0.00230 (0.00234)  --> STEP: 1094/1391 -- GLOBAL_STEP: 42050 | > D_mse_gan_loss: 0.33320 (0.33296) | > D_mse_gan_real_loss: 0.02068 (0.01412) | > D_mse_gan_fake_loss: 0.00115 (0.01934) | > loss_0: 0.33320 (0.33296) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27620 (0.28702) | > G_mse_fake_loss: 0.53938 (0.51230) | > G_feat_match_loss: 0.06756 (0.06846) | > G_gen_loss: 12.42917 (12.91606) | > G_adv_loss: 7.83621 (7.90645) | > loss_1: 20.26538 (20.82251) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04870 (1.05045) | > loader_time: 0.00260 (0.00234)  --> STEP: 1119/1391 -- GLOBAL_STEP: 42075 | > D_mse_gan_loss: 0.31795 (0.33307) | > D_mse_gan_real_loss: 0.00580 (0.01396) | > D_mse_gan_fake_loss: 0.00715 (0.01922) | > loss_0: 0.31795 (0.33307) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27528 (0.28691) | > G_mse_fake_loss: 0.55841 (0.51224) | > G_feat_match_loss: 0.06862 (0.06845) | > G_gen_loss: 12.38779 (12.91090) | > G_adv_loss: 7.96910 (7.90453) | > loss_1: 20.35689 (20.81543) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04900 (1.05036) | > loader_time: 0.00190 (0.00234)  --> STEP: 1144/1391 -- GLOBAL_STEP: 42100 | > D_mse_gan_loss: 0.33181 (0.33278) | > D_mse_gan_real_loss: 0.00699 (0.01393) | > D_mse_gan_fake_loss: 0.03815 (0.01900) | > loss_0: 0.33181 (0.33278) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28020 (0.28681) | > G_mse_fake_loss: 0.51439 (0.51256) | > G_feat_match_loss: 0.06727 (0.06851) | > G_gen_loss: 12.60917 (12.90658) | > G_adv_loss: 7.77916 (7.91193) | > loss_1: 20.38834 (20.81851) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04980 (1.05031) | > loader_time: 0.00270 (0.00234)  --> STEP: 1169/1391 -- GLOBAL_STEP: 42125 | > D_mse_gan_loss: 0.28406 (0.33233) | > D_mse_gan_real_loss: 0.00087 (0.01373) | > D_mse_gan_fake_loss: 0.00008 (0.01877) | > loss_0: 0.28406 (0.33233) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28260 (0.28673) | > G_mse_fake_loss: 0.59300 (0.51294) | > G_feat_match_loss: 0.08712 (0.06861) | > G_gen_loss: 12.71713 (12.90284) | > G_adv_loss: 10.00231 (7.92230) | > loss_1: 22.71944 (20.82514) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04880 (1.05048) | > loader_time: 0.00200 (0.00234)  --> STEP: 1194/1391 -- GLOBAL_STEP: 42150 | > D_mse_gan_loss: 0.28801 (0.33181) | > D_mse_gan_real_loss: 0.00408 (0.01365) | > D_mse_gan_fake_loss: 0.00007 (0.01854) | > loss_0: 0.28801 (0.33181) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29318 (0.28662) | > G_mse_fake_loss: 0.56819 (0.51365) | > G_feat_match_loss: 0.08016 (0.06875) | > G_gen_loss: 13.19309 (12.89768) | > G_adv_loss: 9.22554 (7.93902) | > loss_1: 22.41863 (20.83670) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05170 (1.05047) | > loader_time: 0.00260 (0.00233)  --> STEP: 1219/1391 -- GLOBAL_STEP: 42175 | > D_mse_gan_loss: 0.31639 (0.33149) | > D_mse_gan_real_loss: 0.00527 (0.01354) | > D_mse_gan_fake_loss: 0.03480 (0.01849) | > loss_0: 0.31639 (0.33149) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27917 (0.28663) | > G_mse_fake_loss: 0.56352 (0.51410) | > G_feat_match_loss: 0.07861 (0.06890) | > G_gen_loss: 12.56285 (12.89814) | > G_adv_loss: 9.05323 (7.95521) | > loss_1: 21.61608 (20.85335) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05320 (1.05045) | > loader_time: 0.00190 (0.00233)  --> STEP: 1244/1391 -- GLOBAL_STEP: 42200 | > D_mse_gan_loss: 0.33645 (0.33087) | > D_mse_gan_real_loss: 0.00198 (0.01340) | > D_mse_gan_fake_loss: 0.02401 (0.01829) | > loss_0: 0.33645 (0.33087) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26243 (0.28646) | > G_mse_fake_loss: 0.50683 (0.51483) | > G_feat_match_loss: 0.06910 (0.06908) | > G_gen_loss: 11.80934 (12.89074) | > G_adv_loss: 7.96960 (7.97497) | > loss_1: 19.77893 (20.86571) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05310 (1.05046) | > loader_time: 0.00900 (0.00233)  --> STEP: 1269/1391 -- GLOBAL_STEP: 42225 | > D_mse_gan_loss: 0.30340 (0.33049) | > D_mse_gan_real_loss: 0.00552 (0.01330) | > D_mse_gan_fake_loss: 0.01011 (0.01823) | > loss_0: 0.30340 (0.33049) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27048 (0.28623) | > G_mse_fake_loss: 0.55703 (0.51525) | > G_feat_match_loss: 0.06854 (0.06916) | > G_gen_loss: 12.17158 (12.88046) | > G_adv_loss: 7.95989 (7.98491) | > loss_1: 20.13147 (20.86537) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04630 (1.05042) | > loader_time: 0.00200 (0.00233)  --> STEP: 1294/1391 -- GLOBAL_STEP: 42250 | > D_mse_gan_loss: 0.33626 (0.33031) | > D_mse_gan_real_loss: 0.00712 (0.01322) | > D_mse_gan_fake_loss: 0.02076 (0.01819) | > loss_0: 0.33626 (0.33031) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29552 (0.28610) | > G_mse_fake_loss: 0.46999 (0.51550) | > G_feat_match_loss: 0.06031 (0.06922) | > G_gen_loss: 13.29833 (12.87464) | > G_adv_loss: 6.98394 (7.99144) | > loss_1: 20.28227 (20.86608) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04570 (1.05040) | > loader_time: 0.00250 (0.00233)  --> STEP: 1319/1391 -- GLOBAL_STEP: 42275 | > D_mse_gan_loss: 0.37328 (0.33007) | > D_mse_gan_real_loss: 0.01864 (0.01324) | > D_mse_gan_fake_loss: 0.02493 (0.01819) | > loss_0: 0.37328 (0.33007) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28304 (0.28600) | > G_mse_fake_loss: 0.47676 (0.51594) | > G_feat_match_loss: 0.05001 (0.06930) | > G_gen_loss: 12.73685 (12.86999) | > G_adv_loss: 5.87759 (8.00084) | > loss_1: 18.61444 (20.87083) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04780 (1.05036) | > loader_time: 0.00190 (0.00233)  --> STEP: 1344/1391 -- GLOBAL_STEP: 42300 | > D_mse_gan_loss: 0.29511 (0.33042) | > D_mse_gan_real_loss: 0.00515 (0.01354) | > D_mse_gan_fake_loss: 0.00706 (0.01855) | > loss_0: 0.29511 (0.33042) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27493 (0.28604) | > G_mse_fake_loss: 0.56103 (0.51557) | > G_feat_match_loss: 0.07678 (0.06924) | > G_gen_loss: 12.37185 (12.87181) | > G_adv_loss: 8.85369 (7.99295) | > loss_1: 21.22554 (20.86477) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04590 (1.05031) | > loader_time: 0.00240 (0.00233)  --> STEP: 1369/1391 -- GLOBAL_STEP: 42325 | > D_mse_gan_loss: 0.29395 (0.33004) | > D_mse_gan_real_loss: 0.00065 (0.01348) | > D_mse_gan_fake_loss: 0.00018 (0.01843) | > loss_0: 0.29395 (0.33004) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27751 (0.28591) | > G_mse_fake_loss: 0.57194 (0.51604) | > G_feat_match_loss: 0.08122 (0.06934) | > G_gen_loss: 12.48780 (12.86587) | > G_adv_loss: 9.34325 (8.00504) | > loss_1: 21.83105 (20.87092) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04570 (1.05027) | > loader_time: 0.00200 (0.00233)  > EVALUATION  --> EVAL PERFORMANCE | > avg_loader_time: 0.00245 (-0.00003) | > avg_D_mse_gan_loss: 0.34067 (-0.03282) | > avg_D_mse_gan_real_loss: 0.00388 (-0.02609) | > avg_D_mse_gan_fake_loss: 0.00288 (-0.05136) | > avg_loss_0: 0.34067 (-0.03282) | > avg_G_l1_spec_loss: 0.30781 (-0.01196) | > avg_G_mse_fake_loss: 0.46770 (+0.03819) | > avg_G_feat_match_loss: 0.07659 (+0.02378) | > avg_G_gen_loss: 13.85147 (-0.53838) | > avg_G_adv_loss: 8.73928 (+2.60676) | > avg_loss_1: 22.59075 (+2.06838)  > EPOCH: 6/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 07:03:57)   --> STEP: 3/1391 -- GLOBAL_STEP: 42350 | > D_mse_gan_loss: 0.29147 (0.29819) | > D_mse_gan_real_loss: 0.00018 (0.00066) | > D_mse_gan_fake_loss: 0.00010 (0.00461) | > loss_0: 0.29147 (0.29819) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27075 (0.27443) | > G_mse_fake_loss: 0.54258 (0.56363) | > G_feat_match_loss: 0.08236 (0.08084) | > G_gen_loss: 12.18393 (12.34913) | > G_adv_loss: 9.43756 (9.29464) | > loss_1: 21.62148 (21.64377) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.03910 (1.04184) | > loader_time: 0.00200 (0.00199)  --> STEP: 28/1391 -- GLOBAL_STEP: 42375 | > D_mse_gan_loss: 0.41005 (0.33073) | > D_mse_gan_real_loss: 0.00113 (0.01152) | > D_mse_gan_fake_loss: 0.05346 (0.01855) | > loss_0: 0.41005 (0.33073) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28967 (0.27816) | > G_mse_fake_loss: 0.44491 (0.52367) | > G_feat_match_loss: 0.05817 (0.07171) | > G_gen_loss: 13.03513 (12.51718) | > G_adv_loss: 6.72680 (8.26814) | > loss_1: 19.76193 (20.78532) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05260 (1.05999) | > loader_time: 0.00190 (0.00238)  --> STEP: 53/1391 -- GLOBAL_STEP: 42400 | > D_mse_gan_loss: 0.38314 (0.34219) | > D_mse_gan_real_loss: 0.04424 (0.01895) | > D_mse_gan_fake_loss: 0.03475 (0.02389) | > loss_0: 0.38314 (0.34219) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29404 (0.27996) | > G_mse_fake_loss: 0.43813 (0.50619) | > G_feat_match_loss: 0.05929 (0.06744) | > G_gen_loss: 13.23202 (12.59823) | > G_adv_loss: 6.84177 (7.79015) | > loss_1: 20.07378 (20.38838) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04590 (1.05521) | > loader_time: 0.00200 (0.00230)  --> STEP: 78/1391 -- GLOBAL_STEP: 42425 | > D_mse_gan_loss: 0.28812 (0.33957) | > D_mse_gan_real_loss: 0.00038 (0.01875) | > D_mse_gan_fake_loss: 0.00042 (0.02406) | > loss_0: 0.28812 (0.33957) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27373 (0.28218) | > G_mse_fake_loss: 0.52350 (0.50609) | > G_feat_match_loss: 0.07306 (0.06737) | > G_gen_loss: 12.31806 (12.69822) | > G_adv_loss: 8.41407 (7.78242) | > loss_1: 20.73212 (20.48063) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04700 (1.05252) | > loader_time: 0.00210 (0.00230)  --> STEP: 103/1391 -- GLOBAL_STEP: 42450 | > D_mse_gan_loss: 0.34169 (0.33387) | > D_mse_gan_real_loss: 0.02351 (0.01493) | > D_mse_gan_fake_loss: 0.04431 (0.02269) | > loss_0: 0.34169 (0.33387) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.25976 (0.28222) | > G_mse_fake_loss: 0.54588 (0.51455) | > G_feat_match_loss: 0.07070 (0.06957) | > G_gen_loss: 11.68934 (12.69991) | > G_adv_loss: 8.18138 (8.02863) | > loss_1: 19.87072 (20.72853) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05170 (1.05116) | > loader_time: 0.00190 (0.00231)  --> STEP: 128/1391 -- GLOBAL_STEP: 42475 | > D_mse_gan_loss: 0.34805 (0.33429) | > D_mse_gan_real_loss: 0.01486 (0.01699) | > D_mse_gan_fake_loss: 0.03461 (0.02387) | > loss_0: 0.34805 (0.33429) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28358 (0.28167) | > G_mse_fake_loss: 0.51497 (0.51495) | > G_feat_match_loss: 0.06652 (0.06968) | > G_gen_loss: 12.76118 (12.67503) | > G_adv_loss: 7.69864 (8.04068) | > loss_1: 20.45983 (20.71572) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05080) | > loader_time: 0.00210 (0.00238)  --> STEP: 153/1391 -- GLOBAL_STEP: 42500 | > D_mse_gan_loss: 0.39718 (0.33891) | > D_mse_gan_real_loss: 0.03506 (0.01769) | > D_mse_gan_fake_loss: 0.04981 (0.02455) | > loss_0: 0.39718 (0.33891) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27530 (0.28120) | > G_mse_fake_loss: 0.44250 (0.51022) | > G_feat_match_loss: 0.05182 (0.06884) | > G_gen_loss: 12.38836 (12.65422) | > G_adv_loss: 6.03895 (7.94475) | > loss_1: 18.42730 (20.59897) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04690 (1.05066) | > loader_time: 0.00190 (0.00234)  --> STEP: 178/1391 -- GLOBAL_STEP: 42525 | > D_mse_gan_loss: 0.36702 (0.34076) | > D_mse_gan_real_loss: 0.00592 (0.01898) | > D_mse_gan_fake_loss: 0.11432 (0.02611) | > loss_0: 0.36702 (0.34076) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27868 (0.28234) | > G_mse_fake_loss: 0.52009 (0.50676) | > G_feat_match_loss: 0.06199 (0.06804) | > G_gen_loss: 12.54050 (12.70552) | > G_adv_loss: 7.21448 (7.85515) | > loss_1: 19.75498 (20.56067) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04780 (1.05066) | > loader_time: 0.00200 (0.00234)  --> STEP: 203/1391 -- GLOBAL_STEP: 42550 | > D_mse_gan_loss: 0.41487 (0.34233) | > D_mse_gan_real_loss: 0.08365 (0.02121) | > D_mse_gan_fake_loss: 0.05305 (0.02841) | > loss_0: 0.41487 (0.34233) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30881 (0.28319) | > G_mse_fake_loss: 0.42994 (0.50393) | > G_feat_match_loss: 0.05323 (0.06746) | > G_gen_loss: 13.89656 (12.74371) | > G_adv_loss: 6.17914 (7.79002) | > loss_1: 20.07570 (20.53373) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05660 (1.05050) | > loader_time: 0.00190 (0.00235)  --> STEP: 228/1391 -- GLOBAL_STEP: 42575 | > D_mse_gan_loss: 0.34545 (0.34223) | > D_mse_gan_real_loss: 0.07324 (0.02137) | > D_mse_gan_fake_loss: 0.00874 (0.02855) | > loss_0: 0.34545 (0.34223) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26856 (0.28362) | > G_mse_fake_loss: 0.50157 (0.50362) | > G_feat_match_loss: 0.06018 (0.06734) | > G_gen_loss: 12.08523 (12.76287) | > G_adv_loss: 7.00152 (7.77651) | > loss_1: 19.08675 (20.53937) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04950 (1.05021) | > loader_time: 0.00240 (0.00235)  --> STEP: 253/1391 -- GLOBAL_STEP: 42600 | > D_mse_gan_loss: 0.28493 (0.34187) | > D_mse_gan_real_loss: 0.00774 (0.02156) | > D_mse_gan_fake_loss: 0.00019 (0.02862) | > loss_0: 0.28493 (0.34187) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27745 (0.28374) | > G_mse_fake_loss: 0.56424 (0.50459) | > G_feat_match_loss: 0.07738 (0.06740) | > G_gen_loss: 12.48532 (12.76845) | > G_adv_loss: 8.92172 (7.78327) | > loss_1: 21.40705 (20.55171) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05210 (1.05007) | > loader_time: 0.00200 (0.00234)  --> STEP: 278/1391 -- GLOBAL_STEP: 42625 | > D_mse_gan_loss: 0.33752 (0.34224) | > D_mse_gan_real_loss: 0.00514 (0.02190) | > D_mse_gan_fake_loss: 0.01101 (0.02894) | > loss_0: 0.33752 (0.34224) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28427 (0.28325) | > G_mse_fake_loss: 0.48320 (0.50394) | > G_feat_match_loss: 0.06112 (0.06717) | > G_gen_loss: 12.79211 (12.74642) | > G_adv_loss: 7.08422 (7.75858) | > loss_1: 19.87633 (20.50499) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04980 (1.05108) | > loader_time: 0.00230 (0.00236)  --> STEP: 303/1391 -- GLOBAL_STEP: 42650 | > D_mse_gan_loss: 0.37644 (0.34036) | > D_mse_gan_real_loss: 0.00539 (0.02061) | > D_mse_gan_fake_loss: 0.12102 (0.02754) | > loss_0: 0.37644 (0.34036) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27069 (0.28331) | > G_mse_fake_loss: 0.48145 (0.50570) | > G_feat_match_loss: 0.06484 (0.06750) | > G_gen_loss: 12.18117 (12.74912) | > G_adv_loss: 7.48375 (7.79522) | > loss_1: 19.66492 (20.54434) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05060 (1.05091) | > loader_time: 0.00270 (0.00236)  --> STEP: 328/1391 -- GLOBAL_STEP: 42675 | > D_mse_gan_loss: 0.33432 (0.33896) | > D_mse_gan_real_loss: 0.02221 (0.02028) | > D_mse_gan_fake_loss: 0.05292 (0.02681) | > loss_0: 0.33432 (0.33896) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28276 (0.28328) | > G_mse_fake_loss: 0.51403 (0.50814) | > G_feat_match_loss: 0.07096 (0.06793) | > G_gen_loss: 12.72408 (12.74749) | > G_adv_loss: 8.17786 (7.84449) | > loss_1: 20.90195 (20.59198) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04890 (1.05080) | > loader_time: 0.00210 (0.00235)  --> STEP: 353/1391 -- GLOBAL_STEP: 42700 | > D_mse_gan_loss: 0.26231 (0.33681) | > D_mse_gan_real_loss: 0.00083 (0.01960) | > D_mse_gan_fake_loss: 0.00005 (0.02567) | > loss_0: 0.26231 (0.33681) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27399 (0.28332) | > G_mse_fake_loss: 0.58978 (0.51213) | > G_feat_match_loss: 0.09055 (0.06868) | > G_gen_loss: 12.32958 (12.74927) | > G_adv_loss: 10.36874 (7.92955) | > loss_1: 22.69832 (20.67881) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04970 (1.05065) | > loader_time: 0.00470 (0.00237)  --> STEP: 378/1391 -- GLOBAL_STEP: 42725 | > D_mse_gan_loss: 0.29938 (0.33591) | > D_mse_gan_real_loss: 0.01041 (0.01873) | > D_mse_gan_fake_loss: 0.00005 (0.02453) | > loss_0: 0.29938 (0.33591) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26409 (0.28317) | > G_mse_fake_loss: 0.55428 (0.51402) | > G_feat_match_loss: 0.07726 (0.06911) | > G_gen_loss: 11.88426 (12.74247) | > G_adv_loss: 8.89857 (7.97745) | > loss_1: 20.78283 (20.71992) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05060 (1.05054) | > loader_time: 0.00190 (0.00236)  --> STEP: 403/1391 -- GLOBAL_STEP: 42750 | > D_mse_gan_loss: 0.35730 (0.33592) | > D_mse_gan_real_loss: 0.01761 (0.01928) | > D_mse_gan_fake_loss: 0.03490 (0.02510) | > loss_0: 0.35730 (0.33592) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27664 (0.28262) | > G_mse_fake_loss: 0.44770 (0.51399) | > G_feat_match_loss: 0.05890 (0.06909) | > G_gen_loss: 12.44869 (12.71779) | > G_adv_loss: 6.80877 (7.97585) | > loss_1: 19.25746 (20.69365) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04780 (1.05045) | > loader_time: 0.00210 (0.00236)  --> STEP: 428/1391 -- GLOBAL_STEP: 42775 | > D_mse_gan_loss: 0.39220 (0.33763) | > D_mse_gan_real_loss: 0.08930 (0.02066) | > D_mse_gan_fake_loss: 0.03771 (0.02665) | > loss_0: 0.39220 (0.33763) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27767 (0.28268) | > G_mse_fake_loss: 0.45798 (0.51138) | > G_feat_match_loss: 0.05836 (0.06858) | > G_gen_loss: 12.49505 (12.72054) | > G_adv_loss: 6.76123 (7.91786) | > loss_1: 19.25628 (20.63840) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04900 (1.05032) | > loader_time: 0.00240 (0.00236)  --> STEP: 453/1391 -- GLOBAL_STEP: 42800 | > D_mse_gan_loss: 0.31537 (0.33786) | > D_mse_gan_real_loss: 0.00556 (0.02081) | > D_mse_gan_fake_loss: 0.00008 (0.02660) | > loss_0: 0.31537 (0.33786) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28087 (0.28256) | > G_mse_fake_loss: 0.51827 (0.51062) | > G_feat_match_loss: 0.06634 (0.06836) | > G_gen_loss: 12.63910 (12.71529) | > G_adv_loss: 7.68320 (7.89331) | > loss_1: 20.32230 (20.60859) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04960 (1.05022) | > loader_time: 0.00230 (0.00235)  --> STEP: 478/1391 -- GLOBAL_STEP: 42825 | > D_mse_gan_loss: 0.32410 (0.33662) | > D_mse_gan_real_loss: 0.00046 (0.02002) | > D_mse_gan_fake_loss: 0.00004 (0.02565) | > loss_0: 0.32410 (0.33662) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28172 (0.28268) | > G_mse_fake_loss: 0.54313 (0.51203) | > G_feat_match_loss: 0.07858 (0.06865) | > G_gen_loss: 12.67762 (12.72050) | > G_adv_loss: 9.03006 (7.92584) | > loss_1: 21.70768 (20.64634) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04480 (1.05009) | > loader_time: 0.00300 (0.00235)  --> STEP: 503/1391 -- GLOBAL_STEP: 42850 | > D_mse_gan_loss: 0.33042 (0.33584) | > D_mse_gan_real_loss: 0.03601 (0.01954) | > D_mse_gan_fake_loss: 0.00010 (0.02508) | > loss_0: 0.33042 (0.33584) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27792 (0.28234) | > G_mse_fake_loss: 0.54779 (0.51318) | > G_feat_match_loss: 0.07743 (0.06887) | > G_gen_loss: 12.50620 (12.70542) | > G_adv_loss: 8.91019 (7.95153) | > loss_1: 21.41639 (20.65695) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05010 (1.05000) | > loader_time: 0.00210 (0.00234)  --> STEP: 528/1391 -- GLOBAL_STEP: 42875 | > D_mse_gan_loss: 0.30440 (0.33467) | > D_mse_gan_real_loss: 0.00223 (0.01882) | > D_mse_gan_fake_loss: 0.01723 (0.02434) | > loss_0: 0.30440 (0.33467) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26485 (0.28249) | > G_mse_fake_loss: 0.51868 (0.51399) | > G_feat_match_loss: 0.07576 (0.06910) | > G_gen_loss: 11.91837 (12.71213) | > G_adv_loss: 8.70054 (7.97719) | > loss_1: 20.61891 (20.68932) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04790 (1.05043) | > loader_time: 0.00200 (0.00234)  --> STEP: 553/1391 -- GLOBAL_STEP: 42900 | > D_mse_gan_loss: 0.31929 (0.33458) | > D_mse_gan_real_loss: 0.00369 (0.01924) | > D_mse_gan_fake_loss: 0.00150 (0.02466) | > loss_0: 0.31929 (0.33458) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27425 (0.28218) | > G_mse_fake_loss: 0.51925 (0.51420) | > G_feat_match_loss: 0.06758 (0.06913) | > G_gen_loss: 12.34124 (12.69824) | > G_adv_loss: 7.81791 (7.97992) | > loss_1: 20.15914 (20.67816) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04650 (1.05033) | > loader_time: 0.00200 (0.00234)  --> STEP: 578/1391 -- GLOBAL_STEP: 42925 | > D_mse_gan_loss: 0.29073 (0.33393) | > D_mse_gan_real_loss: 0.00053 (0.01912) | > D_mse_gan_fake_loss: 0.00014 (0.02433) | > loss_0: 0.29073 (0.33393) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27270 (0.28207) | > G_mse_fake_loss: 0.58749 (0.51491) | > G_feat_match_loss: 0.08222 (0.06935) | > G_gen_loss: 12.27160 (12.69314) | > G_adv_loss: 9.46685 (8.00493) | > loss_1: 21.73845 (20.69807) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05220 (1.05024) | > loader_time: 0.00270 (0.00234)  --> STEP: 603/1391 -- GLOBAL_STEP: 42950 | > D_mse_gan_loss: 0.31463 (0.33276) | > D_mse_gan_real_loss: 0.00188 (0.01850) | > D_mse_gan_fake_loss: 0.00020 (0.02365) | > loss_0: 0.31463 (0.33276) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29758 (0.28201) | > G_mse_fake_loss: 0.52482 (0.51632) | > G_feat_match_loss: 0.07525 (0.06967) | > G_gen_loss: 13.39116 (12.69047) | > G_adv_loss: 8.65144 (8.04119) | > loss_1: 22.04260 (20.73166) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04870 (1.05014) | > loader_time: 0.00200 (0.00234)  --> STEP: 628/1391 -- GLOBAL_STEP: 42975 | > D_mse_gan_loss: 0.29681 (0.33193) | > D_mse_gan_real_loss: 0.00294 (0.01802) | > D_mse_gan_fake_loss: 0.01287 (0.02327) | > loss_0: 0.29681 (0.33193) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.26957 (0.28170) | > G_mse_fake_loss: 0.55617 (0.51677) | > G_feat_match_loss: 0.07448 (0.06981) | > G_gen_loss: 12.13078 (12.67641) | > G_adv_loss: 8.60055 (8.05616) | > loss_1: 20.73133 (20.73257) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04800 (1.05006) | > loader_time: 0.00200 (0.00235)  --> STEP: 653/1391 -- GLOBAL_STEP: 43000 | > D_mse_gan_loss: 0.31714 (0.33182) | > D_mse_gan_real_loss: 0.01569 (0.01819) | > D_mse_gan_fake_loss: 0.00187 (0.02344) | > loss_0: 0.31714 (0.33182) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27728 (0.28150) | > G_mse_fake_loss: 0.51411 (0.51718) | > G_feat_match_loss: 0.06942 (0.06986) | > G_gen_loss: 12.47764 (12.66767) | > G_adv_loss: 8.01184 (8.06164) | > loss_1: 20.48948 (20.72931) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05003) | > loader_time: 0.00190 (0.00234) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_43000.pth  --> STEP: 678/1391 -- GLOBAL_STEP: 43025 | > D_mse_gan_loss: 0.34938 (0.33177) | > D_mse_gan_real_loss: 0.01890 (0.01832) | > D_mse_gan_fake_loss: 0.05090 (0.02395) | > loss_0: 0.34938 (0.33177) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27429 (0.28141) | > G_mse_fake_loss: 0.47834 (0.51705) | > G_feat_match_loss: 0.06516 (0.06985) | > G_gen_loss: 12.34301 (12.66339) | > G_adv_loss: 7.51566 (8.06127) | > loss_1: 19.85867 (20.72467) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.06000 (1.05009) | > loader_time: 0.00190 (0.00235)  --> STEP: 703/1391 -- GLOBAL_STEP: 43050 | > D_mse_gan_loss: 0.38191 (0.33123) | > D_mse_gan_real_loss: 0.01304 (0.01814) | > D_mse_gan_fake_loss: 0.09251 (0.02364) | > loss_0: 0.38191 (0.33123) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28032 (0.28140) | > G_mse_fake_loss: 0.44841 (0.51765) | > G_feat_match_loss: 0.06329 (0.07000) | > G_gen_loss: 12.61435 (12.66292) | > G_adv_loss: 7.28350 (8.07768) | > loss_1: 19.89786 (20.74060) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04660 (1.05021) | > loader_time: 0.00280 (0.00234)  --> STEP: 728/1391 -- GLOBAL_STEP: 43075 | > D_mse_gan_loss: 0.31978 (0.33069) | > D_mse_gan_real_loss: 0.00817 (0.01798) | > D_mse_gan_fake_loss: 0.00003 (0.02341) | > loss_0: 0.31978 (0.33069) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29506 (0.28134) | > G_mse_fake_loss: 0.51692 (0.51823) | > G_feat_match_loss: 0.07387 (0.07010) | > G_gen_loss: 13.27771 (12.66011) | > G_adv_loss: 8.49537 (8.08917) | > loss_1: 21.77308 (20.74928) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05240 (1.05008) | > loader_time: 0.00220 (0.00234)  --> STEP: 753/1391 -- GLOBAL_STEP: 43100 | > D_mse_gan_loss: 0.31605 (0.33105) | > D_mse_gan_real_loss: 0.02268 (0.01815) | > D_mse_gan_fake_loss: 0.00988 (0.02383) | > loss_0: 0.31605 (0.33105) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28519 (0.28130) | > G_mse_fake_loss: 0.55622 (0.51785) | > G_feat_match_loss: 0.07925 (0.07004) | > G_gen_loss: 12.83358 (12.65861) | > G_adv_loss: 9.11486 (8.08256) | > loss_1: 21.94844 (20.74117) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05510 (1.05000) | > loader_time: 0.00260 (0.00234)  --> STEP: 778/1391 -- GLOBAL_STEP: 43125 | > D_mse_gan_loss: 0.37282 (0.33166) | > D_mse_gan_real_loss: 0.09164 (0.01850) | > D_mse_gan_fake_loss: 0.05905 (0.02416) | > loss_0: 0.37282 (0.33166) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28249 (0.28139) | > G_mse_fake_loss: 0.47346 (0.51717) | > G_feat_match_loss: 0.06365 (0.06986) | > G_gen_loss: 12.71184 (12.66272) | > G_adv_loss: 7.34728 (8.06190) | > loss_1: 20.05912 (20.72462) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04650 (1.05024) | > loader_time: 0.00190 (0.00235)  --> STEP: 803/1391 -- GLOBAL_STEP: 43150 | > D_mse_gan_loss: 0.37962 (0.33186) | > D_mse_gan_real_loss: 0.02230 (0.01870) | > D_mse_gan_fake_loss: 0.03193 (0.02444) | > loss_0: 0.37962 (0.33186) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30048 (0.28152) | > G_mse_fake_loss: 0.44626 (0.51716) | > G_feat_match_loss: 0.05271 (0.06984) | > G_gen_loss: 13.52151 (12.66826) | > G_adv_loss: 6.13908 (8.05997) | > loss_1: 19.66059 (20.72823) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04630 (1.05023) | > loader_time: 0.00200 (0.00235)  --> STEP: 828/1391 -- GLOBAL_STEP: 43175 | > D_mse_gan_loss: 0.35388 (0.33210) | > D_mse_gan_real_loss: 0.04486 (0.01873) | > D_mse_gan_fake_loss: 0.02872 (0.02444) | > loss_0: 0.35388 (0.33210) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28223 (0.28149) | > G_mse_fake_loss: 0.51370 (0.51634) | > G_feat_match_loss: 0.06538 (0.06966) | > G_gen_loss: 12.70029 (12.66720) | > G_adv_loss: 7.57430 (8.03944) | > loss_1: 20.27459 (20.70664) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.05021) | > loader_time: 0.00200 (0.00234)  --> STEP: 853/1391 -- GLOBAL_STEP: 43200 | > D_mse_gan_loss: 0.31782 (0.33256) | > D_mse_gan_real_loss: 0.00907 (0.01904) | > D_mse_gan_fake_loss: 0.01540 (0.02446) | > loss_0: 0.31782 (0.33256) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28663 (0.28160) | > G_mse_fake_loss: 0.49222 (0.51598) | > G_feat_match_loss: 0.07058 (0.06954) | > G_gen_loss: 12.89841 (12.67202) | > G_adv_loss: 8.11534 (8.02682) | > loss_1: 21.01374 (20.69885) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04590 (1.05014) | > loader_time: 0.00240 (0.00234)  --> STEP: 878/1391 -- GLOBAL_STEP: 43225 | > D_mse_gan_loss: 0.28919 (0.33316) | > D_mse_gan_real_loss: 0.00425 (0.01931) | > D_mse_gan_fake_loss: 0.00170 (0.02486) | > loss_0: 0.28919 (0.33316) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29296 (0.28170) | > G_mse_fake_loss: 0.55707 (0.51500) | > G_feat_match_loss: 0.07965 (0.06935) | > G_gen_loss: 13.18304 (12.67632) | > G_adv_loss: 9.15940 (8.00489) | > loss_1: 22.34244 (20.68121) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04560 (1.05004) | > loader_time: 0.00200 (0.00234)  --> STEP: 903/1391 -- GLOBAL_STEP: 43250 | > D_mse_gan_loss: 0.40432 (0.33346) | > D_mse_gan_real_loss: 0.05082 (0.01928) | > D_mse_gan_fake_loss: 0.07921 (0.02519) | > loss_0: 0.40432 (0.33346) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29543 (0.28189) | > G_mse_fake_loss: 0.40227 (0.51436) | > G_feat_match_loss: 0.04699 (0.06924) | > G_gen_loss: 13.29452 (12.68485) | > G_adv_loss: 5.47720 (7.99244) | > loss_1: 18.77172 (20.67729) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04450 (1.04994) | > loader_time: 0.00210 (0.00234)  --> STEP: 928/1391 -- GLOBAL_STEP: 43275 | > D_mse_gan_loss: 0.38106 (0.33381) | > D_mse_gan_real_loss: 0.04939 (0.01935) | > D_mse_gan_fake_loss: 0.04460 (0.02531) | > loss_0: 0.38106 (0.33381) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27435 (0.28199) | > G_mse_fake_loss: 0.46270 (0.51369) | > G_feat_match_loss: 0.05625 (0.06910) | > G_gen_loss: 12.34573 (12.68976) | > G_adv_loss: 6.53733 (7.97643) | > loss_1: 18.88306 (20.66619) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04780 (1.04989) | > loader_time: 0.00250 (0.00233)  --> STEP: 953/1391 -- GLOBAL_STEP: 43300 | > D_mse_gan_loss: 0.32512 (0.33387) | > D_mse_gan_real_loss: 0.00871 (0.01932) | > D_mse_gan_fake_loss: 0.02563 (0.02514) | > loss_0: 0.32512 (0.33387) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27291 (0.28204) | > G_mse_fake_loss: 0.49907 (0.51367) | > G_feat_match_loss: 0.06271 (0.06904) | > G_gen_loss: 12.28087 (12.69195) | > G_adv_loss: 7.27127 (7.96958) | > loss_1: 19.55214 (20.66153) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04850 (1.04987) | > loader_time: 0.00240 (0.00233)  --> STEP: 978/1391 -- GLOBAL_STEP: 43325 | > D_mse_gan_loss: 0.33221 (0.33405) | > D_mse_gan_real_loss: 0.02373 (0.01942) | > D_mse_gan_fake_loss: 0.01857 (0.02534) | > loss_0: 0.33221 (0.33405) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27724 (0.28207) | > G_mse_fake_loss: 0.50998 (0.51306) | > G_feat_match_loss: 0.06469 (0.06891) | > G_gen_loss: 12.47584 (12.69319) | > G_adv_loss: 7.49703 (7.95495) | > loss_1: 19.97287 (20.64814) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05300 (1.04982) | > loader_time: 0.00230 (0.00233)  --> STEP: 1003/1391 -- GLOBAL_STEP: 43350 | > D_mse_gan_loss: 0.33139 (0.33358) | > D_mse_gan_real_loss: 0.00208 (0.01934) | > D_mse_gan_fake_loss: 0.01931 (0.02501) | > loss_0: 0.33139 (0.33358) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28727 (0.28223) | > G_mse_fake_loss: 0.51198 (0.51378) | > G_feat_match_loss: 0.07083 (0.06904) | > G_gen_loss: 12.92694 (12.70017) | > G_adv_loss: 8.16146 (7.97041) | > loss_1: 21.08840 (20.67058) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05050 (1.04979) | > loader_time: 0.00240 (0.00232)  --> STEP: 1028/1391 -- GLOBAL_STEP: 43375 | > D_mse_gan_loss: 0.39409 (0.33330) | > D_mse_gan_real_loss: 0.08361 (0.01906) | > D_mse_gan_fake_loss: 0.07632 (0.02484) | > loss_0: 0.39409 (0.33330) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27565 (0.28225) | > G_mse_fake_loss: 0.52508 (0.51417) | > G_feat_match_loss: 0.06477 (0.06916) | > G_gen_loss: 12.40435 (12.70125) | > G_adv_loss: 7.51978 (7.98383) | > loss_1: 19.92413 (20.68508) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04710 (1.04977) | > loader_time: 0.00200 (0.00232)  --> STEP: 1053/1391 -- GLOBAL_STEP: 43400 | > D_mse_gan_loss: 0.31257 (0.33292) | > D_mse_gan_real_loss: 0.00027 (0.01897) | > D_mse_gan_fake_loss: 0.00041 (0.02452) | > loss_0: 0.31257 (0.33292) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27160 (0.28228) | > G_mse_fake_loss: 0.54578 (0.51455) | > G_feat_match_loss: 0.07538 (0.06923) | > G_gen_loss: 12.22217 (12.70277) | > G_adv_loss: 8.68643 (7.99097) | > loss_1: 20.90860 (20.69374) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04830 (1.05005) | > loader_time: 0.00250 (0.00233)  --> STEP: 1078/1391 -- GLOBAL_STEP: 43425 | > D_mse_gan_loss: 0.30966 (0.33276) | > D_mse_gan_real_loss: 0.00060 (0.01866) | > D_mse_gan_fake_loss: 0.00006 (0.02421) | > loss_0: 0.30966 (0.33276) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28147 (0.28237) | > G_mse_fake_loss: 0.53815 (0.51457) | > G_feat_match_loss: 0.07280 (0.06924) | > G_gen_loss: 12.66602 (12.70678) | > G_adv_loss: 8.40108 (7.99292) | > loss_1: 21.06710 (20.69970) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04850 (1.05004) | > loader_time: 0.00250 (0.00232)  --> STEP: 1103/1391 -- GLOBAL_STEP: 43450 | > D_mse_gan_loss: 0.32649 (0.33226) | > D_mse_gan_real_loss: 0.00066 (0.01835) | > D_mse_gan_fake_loss: 0.00007 (0.02381) | > loss_0: 0.32649 (0.33226) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28525 (0.28246) | > G_mse_fake_loss: 0.50142 (0.51524) | > G_feat_match_loss: 0.07313 (0.06942) | > G_gen_loss: 12.83607 (12.71082) | > G_adv_loss: 8.39974 (8.01259) | > loss_1: 21.23581 (20.72342) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04820 (1.05001) | > loader_time: 0.00250 (0.00233)  --> STEP: 1128/1391 -- GLOBAL_STEP: 43475 | > D_mse_gan_loss: 0.37651 (0.33294) | > D_mse_gan_real_loss: 0.04699 (0.01861) | > D_mse_gan_fake_loss: 0.00907 (0.02420) | > loss_0: 0.37651 (0.33294) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29233 (0.28239) | > G_mse_fake_loss: 0.46370 (0.51425) | > G_feat_match_loss: 0.05671 (0.06922) | > G_gen_loss: 13.15484 (12.70770) | > G_adv_loss: 6.58786 (7.98973) | > loss_1: 19.74270 (20.69743) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05060 (1.05001) | > loader_time: 0.00250 (0.00232)  --> STEP: 1153/1391 -- GLOBAL_STEP: 43500 | > D_mse_gan_loss: 0.37128 (0.33324) | > D_mse_gan_real_loss: 0.00399 (0.01849) | > D_mse_gan_fake_loss: 0.07184 (0.02419) | > loss_0: 0.37128 (0.33324) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28190 (0.28249) | > G_mse_fake_loss: 0.41400 (0.51363) | > G_feat_match_loss: 0.05680 (0.06911) | > G_gen_loss: 12.68559 (12.71224) | > G_adv_loss: 6.54863 (7.97782) | > loss_1: 19.23422 (20.69005) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04620 (1.04999) | > loader_time: 0.00270 (0.00232)  --> STEP: 1178/1391 -- GLOBAL_STEP: 43525 | > D_mse_gan_loss: 0.36547 (0.33378) | > D_mse_gan_real_loss: 0.02290 (0.01870) | > D_mse_gan_fake_loss: 0.00206 (0.02438) | > loss_0: 0.36547 (0.33378) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28348 (0.28261) | > G_mse_fake_loss: 0.50167 (0.51281) | > G_feat_match_loss: 0.06429 (0.06893) | > G_gen_loss: 12.75668 (12.71727) | > G_adv_loss: 7.44485 (7.95694) | > loss_1: 20.20153 (20.67420) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05110 (1.04994) | > loader_time: 0.00230 (0.00232)  --> STEP: 1203/1391 -- GLOBAL_STEP: 43550 | > D_mse_gan_loss: 0.32809 (0.33404) | > D_mse_gan_real_loss: 0.00420 (0.01871) | > D_mse_gan_fake_loss: 0.00507 (0.02443) | > loss_0: 0.32809 (0.33404) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28527 (0.28265) | > G_mse_fake_loss: 0.50227 (0.51247) | > G_feat_match_loss: 0.06992 (0.06882) | > G_gen_loss: 12.83705 (12.71932) | > G_adv_loss: 8.05409 (7.94523) | > loss_1: 20.89114 (20.66455) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.04994) | > loader_time: 0.00230 (0.00232)  --> STEP: 1228/1391 -- GLOBAL_STEP: 43575 | > D_mse_gan_loss: 0.31608 (0.33434) | > D_mse_gan_real_loss: 0.00343 (0.01881) | > D_mse_gan_fake_loss: 0.00006 (0.02442) | > loss_0: 0.31608 (0.33434) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.30413 (0.28272) | > G_mse_fake_loss: 0.53640 (0.51204) | > G_feat_match_loss: 0.07248 (0.06871) | > G_gen_loss: 13.68574 (12.72223) | > G_adv_loss: 8.36416 (7.93225) | > loss_1: 22.04990 (20.65449) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04840 (1.04992) | > loader_time: 0.00230 (0.00232)  --> STEP: 1253/1391 -- GLOBAL_STEP: 43600 | > D_mse_gan_loss: 0.34068 (0.33413) | > D_mse_gan_real_loss: 0.00318 (0.01846) | > D_mse_gan_fake_loss: 0.03363 (0.02419) | > loss_0: 0.34068 (0.33413) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28865 (0.28282) | > G_mse_fake_loss: 0.49101 (0.51259) | > G_feat_match_loss: 0.06492 (0.06883) | > G_gen_loss: 12.98932 (12.72711) | > G_adv_loss: 7.50184 (7.94632) | > loss_1: 20.49117 (20.67343) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04640 (1.04988) | > loader_time: 0.00200 (0.00232)  --> STEP: 1278/1391 -- GLOBAL_STEP: 43625 | > D_mse_gan_loss: 0.34555 (0.33449) | > D_mse_gan_real_loss: 0.00539 (0.01861) | > D_mse_gan_fake_loss: 0.03279 (0.02432) | > loss_0: 0.34555 (0.33449) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28876 (0.28284) | > G_mse_fake_loss: 0.43185 (0.51191) | > G_feat_match_loss: 0.05589 (0.06867) | > G_gen_loss: 12.99398 (12.72784) | > G_adv_loss: 6.46787 (7.92788) | > loss_1: 19.46185 (20.65572) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05050 (1.04987) | > loader_time: 0.00230 (0.00232)  --> STEP: 1303/1391 -- GLOBAL_STEP: 43650 | > D_mse_gan_loss: 0.28602 (0.33409) | > D_mse_gan_real_loss: 0.00197 (0.01835) | > D_mse_gan_fake_loss: 0.00009 (0.02396) | > loss_0: 0.28602 (0.33409) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28569 (0.28307) | > G_mse_fake_loss: 0.54704 (0.51226) | > G_feat_match_loss: 0.08045 (0.06876) | > G_gen_loss: 12.85607 (12.73818) | > G_adv_loss: 9.23539 (7.93786) | > loss_1: 22.09145 (20.67604) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04670 (1.04998) | > loader_time: 0.00280 (0.00232)  --> STEP: 1328/1391 -- GLOBAL_STEP: 43675 | > D_mse_gan_loss: 0.35150 (0.33432) | > D_mse_gan_real_loss: 0.00361 (0.01849) | > D_mse_gan_fake_loss: 0.06877 (0.02423) | > loss_0: 0.35150 (0.33432) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27284 (0.28306) | > G_mse_fake_loss: 0.48809 (0.51194) | > G_feat_match_loss: 0.06899 (0.06869) | > G_gen_loss: 12.27800 (12.73775) | > G_adv_loss: 7.93865 (7.93099) | > loss_1: 20.21665 (20.66874) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05100 (1.04995) | > loader_time: 0.00220 (0.00232)  --> STEP: 1353/1391 -- GLOBAL_STEP: 43700 | > D_mse_gan_loss: 0.39181 (0.33475) | > D_mse_gan_real_loss: 0.05164 (0.01872) | > D_mse_gan_fake_loss: 0.01102 (0.02434) | > loss_0: 0.39181 (0.33475) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29439 (0.28311) | > G_mse_fake_loss: 0.52277 (0.51125) | > G_feat_match_loss: 0.06604 (0.06854) | > G_gen_loss: 13.24755 (12.74005) | > G_adv_loss: 7.65527 (7.91308) | > loss_1: 20.90282 (20.65313) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04750 (1.04991) | > loader_time: 0.00190 (0.00232)  --> STEP: 1378/1391 -- GLOBAL_STEP: 43725 | > D_mse_gan_loss: 0.41106 (0.33608) | > D_mse_gan_real_loss: 0.11120 (0.01921) | > D_mse_gan_fake_loss: 0.01945 (0.02469) | > loss_0: 0.41106 (0.33608) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27843 (0.28313) | > G_mse_fake_loss: 0.43405 (0.50994) | > G_feat_match_loss: 0.04739 (0.06821) | > G_gen_loss: 12.52956 (12.74077) | > G_adv_loss: 5.55263 (7.87610) | > loss_1: 18.08219 (20.61687) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04830 (1.04989) | > loader_time: 0.00200 (0.00231)  > EVALUATION  --> EVAL PERFORMANCE | > avg_loader_time: 0.00239 (-0.00006) | > avg_D_mse_gan_loss: 0.40120 (+0.06053) | > avg_D_mse_gan_real_loss: 0.02408 (+0.02020) | > avg_D_mse_gan_fake_loss: 0.06058 (+0.05769) | > avg_loss_0: 0.40120 (+0.06053) | > avg_G_l1_spec_loss: 0.31517 (+0.00736) | > avg_G_mse_fake_loss: 0.39687 (-0.07083) | > avg_G_feat_match_loss: 0.04808 (-0.02851) | > avg_G_gen_loss: 14.18286 (+0.33140) | > avg_G_adv_loss: 5.58921 (-3.15007) | > avg_loss_1: 19.77208 (-2.81867)  > EPOCH: 7/1000 --> /content/train_output/kaggRun  > TRAINING (2022-12-28 07:29:10)   --> STEP: 12/1391 -- GLOBAL_STEP: 43750 | > D_mse_gan_loss: 0.40558 (0.40763) | > D_mse_gan_real_loss: 0.05261 (0.04426) | > D_mse_gan_fake_loss: 0.06405 (0.04945) | > loss_0: 0.40558 (0.40763) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29871 (0.28798) | > G_mse_fake_loss: 0.40093 (0.38305) | > G_feat_match_loss: 0.04897 (0.04469) | > G_gen_loss: 13.44198 (12.95918) | > G_adv_loss: 5.68963 (5.20990) | > loss_1: 19.13160 (18.16908) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04900 (1.04569) | > loader_time: 0.00240 (0.00215)  --> STEP: 37/1391 -- GLOBAL_STEP: 43775 | > D_mse_gan_loss: 0.41214 (0.40057) | > D_mse_gan_real_loss: 0.01562 (0.04232) | > D_mse_gan_fake_loss: 0.07333 (0.04699) | > loss_0: 0.41214 (0.40057) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29071 (0.28885) | > G_mse_fake_loss: 0.40575 (0.40152) | > G_feat_match_loss: 0.04090 (0.04713) | > G_gen_loss: 13.08195 (12.99836) | > G_adv_loss: 4.82285 (5.49125) | > loss_1: 17.90479 (18.48962) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04890 (1.04893) | > loader_time: 0.00220 (0.00220)  --> STEP: 62/1391 -- GLOBAL_STEP: 43800 | > D_mse_gan_loss: 0.19104 (0.36905) | > D_mse_gan_real_loss: 0.00052 (0.03643) | > D_mse_gan_fake_loss: 0.00070 (0.03852) | > loss_0: 0.19104 (0.36905) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29864 (0.29467) | > G_mse_fake_loss: 0.80970 (0.45158) | > G_feat_match_loss: 0.11985 (0.05621) | > G_gen_loss: 13.43900 (13.26035) | > G_adv_loss: 13.75382 (6.52208) | > loss_1: 27.19282 (19.78242) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04790 (1.04906) | > loader_time: 0.00200 (0.00221)  --> STEP: 87/1391 -- GLOBAL_STEP: 43825 | > D_mse_gan_loss: 0.36950 (0.35973) | > D_mse_gan_real_loss: 0.00089 (0.02657) | > D_mse_gan_fake_loss: 0.01251 (0.02879) | > loss_0: 0.36950 (0.35973) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29111 (0.29417) | > G_mse_fake_loss: 0.43732 (0.48245) | > G_feat_match_loss: 0.05829 (0.06284) | > G_gen_loss: 13.10003 (13.23785) | > G_adv_loss: 6.73280 (7.26946) | > loss_1: 19.83283 (20.50731) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04060 (1.04843) | > loader_time: 0.00230 (0.00220)  --> STEP: 112/1391 -- GLOBAL_STEP: 43850 | > D_mse_gan_loss: 0.33595 (0.35952) | > D_mse_gan_real_loss: 0.03128 (0.02470) | > D_mse_gan_fake_loss: 0.01988 (0.02850) | > loss_0: 0.33595 (0.35952) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29307 (0.29198) | > G_mse_fake_loss: 0.52084 (0.47949) | > G_feat_match_loss: 0.06621 (0.06169) | > G_gen_loss: 13.18813 (13.13921) | > G_adv_loss: 7.67144 (7.14150) | > loss_1: 20.85957 (20.28071) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05670 (1.04827) | > loader_time: 0.00240 (0.00222)  --> STEP: 137/1391 -- GLOBAL_STEP: 43875 | > D_mse_gan_loss: 0.31417 (0.36125) | > D_mse_gan_real_loss: 0.02777 (0.02658) | > D_mse_gan_fake_loss: 0.00005 (0.03111) | > loss_0: 0.31417 (0.36125) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29660 (0.29140) | > G_mse_fake_loss: 0.51672 (0.47638) | > G_feat_match_loss: 0.06740 (0.06063) | > G_gen_loss: 13.34698 (13.11307) | > G_adv_loss: 7.79608 (7.02403) | > loss_1: 21.14307 (20.13711) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04930 (1.04841) | > loader_time: 0.00260 (0.00224)  --> STEP: 162/1391 -- GLOBAL_STEP: 43900 | > D_mse_gan_loss: 0.36353 (0.36386) | > D_mse_gan_real_loss: 0.02501 (0.02610) | > D_mse_gan_fake_loss: 0.03892 (0.03124) | > loss_0: 0.36353 (0.36386) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29369 (0.29142) | > G_mse_fake_loss: 0.42961 (0.47128) | > G_feat_match_loss: 0.04969 (0.05936) | > G_gen_loss: 13.21595 (13.11406) | > G_adv_loss: 5.79635 (6.88200) | > loss_1: 19.01231 (19.99606) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04720 (1.05072) | > loader_time: 0.00190 (0.00228)  --> STEP: 187/1391 -- GLOBAL_STEP: 43925 | > D_mse_gan_loss: 0.32236 (0.36320) | > D_mse_gan_real_loss: 0.00145 (0.02575) | > D_mse_gan_fake_loss: 0.01055 (0.03036) | > loss_0: 0.32236 (0.36320) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28820 (0.29087) | > G_mse_fake_loss: 0.50998 (0.47058) | > G_feat_match_loss: 0.06525 (0.05912) | > G_gen_loss: 12.96916 (13.08907) | > G_adv_loss: 7.55700 (6.85510) | > loss_1: 20.52616 (19.94416) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04630 (1.05050) | > loader_time: 0.00250 (0.00228)  --> STEP: 212/1391 -- GLOBAL_STEP: 43950 | > D_mse_gan_loss: 0.38306 (0.36560) | > D_mse_gan_real_loss: 0.05935 (0.02516) | > D_mse_gan_fake_loss: 0.09504 (0.03076) | > loss_0: 0.38306 (0.36560) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28542 (0.29038) | > G_mse_fake_loss: 0.43717 (0.46932) | > G_feat_match_loss: 0.06298 (0.05878) | > G_gen_loss: 12.84373 (13.06688) | > G_adv_loss: 7.23887 (6.81799) | > loss_1: 20.08261 (19.88486) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04850 (1.05025) | > loader_time: 0.00190 (0.00228)  --> STEP: 237/1391 -- GLOBAL_STEP: 43975 | > D_mse_gan_loss: 0.38264 (0.36998) | > D_mse_gan_real_loss: 0.04039 (0.02733) | > D_mse_gan_fake_loss: 0.02686 (0.03346) | > loss_0: 0.38264 (0.36998) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28553 (0.28991) | > G_mse_fake_loss: 0.40725 (0.46204) | > G_feat_match_loss: 0.04586 (0.05747) | > G_gen_loss: 12.84887 (13.04573) | > G_adv_loss: 5.35993 (6.66864) | > loss_1: 18.20880 (19.71438) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05170 (1.05013) | > loader_time: 0.00220 (0.00228)  --> STEP: 262/1391 -- GLOBAL_STEP: 44000 | > D_mse_gan_loss: 0.30600 (0.35993) | > D_mse_gan_real_loss: 0.00037 (0.02577) | > D_mse_gan_fake_loss: 0.00023 (0.03060) | > loss_0: 0.30600 (0.35993) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.28666 (0.29120) | > G_mse_fake_loss: 0.53810 (0.47696) | > G_feat_match_loss: 0.08776 (0.06055) | > G_gen_loss: 12.89968 (13.10417) | > G_adv_loss: 10.01657 (7.01658) | > loss_1: 22.91625 (20.12075) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05030 (1.05001) | > loader_time: 0.00240 (0.00229) > CHECKPOINT : /content/train_output/kaggRun/checkpoint_44000.pth  --> STEP: 287/1391 -- GLOBAL_STEP: 44025 | > D_mse_gan_loss: 0.33328 (0.35719) | > D_mse_gan_real_loss: 0.00960 (0.02365) | > D_mse_gan_fake_loss: 0.00259 (0.02851) | > loss_0: 0.33328 (0.35719) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27819 (0.29048) | > G_mse_fake_loss: 0.53182 (0.48028) | > G_feat_match_loss: 0.05978 (0.06149) | > G_gen_loss: 12.51847 (13.07146) | > G_adv_loss: 6.98802 (7.12078) | > loss_1: 19.50649 (20.19224) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.05050 (1.05022) | > loader_time: 0.00250 (0.00229)  --> STEP: 312/1391 -- GLOBAL_STEP: 44050 | > D_mse_gan_loss: 0.33328 (0.35628) | > D_mse_gan_real_loss: 0.01488 (0.02358) | > D_mse_gan_fake_loss: 0.00029 (0.02857) | > loss_0: 0.33328 (0.35628) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.27833 (0.29013) | > G_mse_fake_loss: 0.50922 (0.48110) | > G_feat_match_loss: 0.06427 (0.06160) | > G_gen_loss: 12.52469 (13.05572) | > G_adv_loss: 7.45091 (7.13442) | > loss_1: 19.97560 (20.19014) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04610 (1.05035) | > loader_time: 0.00210 (0.00231)  --> STEP: 337/1391 -- GLOBAL_STEP: 44075 | > D_mse_gan_loss: 0.42137 (0.35968) | > D_mse_gan_real_loss: 0.01159 (0.02423) | > D_mse_gan_fake_loss: 0.12462 (0.02918) | > loss_0: 0.42137 (0.35968) | > grad_norm_0: 0.00000 (0.00000) | > G_l1_spec_loss: 0.29241 (0.28963) | > G_mse_fake_loss: 0.36266 (0.47769) | > G_feat_match_loss: 0.04847 (0.06074) | > G_gen_loss: 13.15850 (13.03357) | > G_adv_loss: 5.59762 (7.03770) | > loss_1: 18.75612 (20.07127) | > grad_norm_1: 0.00000 (0.00000) | > current_lr_0: 0.00010 | > current_lr_1: 0.00010 | > step_time: 1.04340 (1.05003) | > loader_time: 0.00220 (0.00233) ! Run is kept in /content/train_output/kaggRun