ESRGAN/UniversalUpscaler/UniversalUpscalerV2-Sharper.log

21-03-31 11:46:15.458 - INFO:   name: 4x_UniversalUpscalerV2-Sharper
  use_tb_logger: True
  model: srragan
  scale: 4
  gpu_ids: [0]
  use_amp: True
  use_swa: True
  datasets:[
    train:[
      name: DIV2K
      mode: LRHRC
      dataroot_HR: ['..\\datasets\\train\\hr\\hrRealism\\Original', '..\\datasets\\train\\hr\\hrRealism\\Point']
      dataroot_LR: ['..\\datasets\\train\\lr\\lrUniversal\\lrGaussian', '..\\datasets\\train\\lr\\lrUniversal\\lrPoint']
      subset_file: None
      use_shuffle: True
      znorm: False
      n_workers: 4
      batch_size: 4
      virtual_batch_size: 4
      HR_size: 128
      image_channels: 3
      dataroot_kernels: ../training/kernels/results/
      lr_downscale: True
      lr_downscale_types: [1, 2, 777]
      use_flip: True
      use_rot: True
      hr_rrot: False
      lr_blur: False
      lr_blur_types: ['gaussian', 'clean', 'clean', 'clean']
      noise_data: ../noise_patches/normal/
      lr_noise: False
      lr_noise_types: ['JPEG', 'clean', 'clean', 'clean', 'clean']
      lr_noise2: False
      lr_noise_types2: ['dither', 'dither', 'clean', 'clean']
      hr_noise: False
      hr_noise_types: ['gaussian', 'clean', 'clean', 'clean', 'clean']
      phase: train
      scale: 4
      data_type: img
    ]
    val:[
      name: val_images
      mode: LRHROTF
      dataroot_HR: ..\datasets\val\hr\hrUniversal
      dataroot_LR: ..\datasets\val\lr\lrUniversal\Sharper
      znorm: False
      lr_downscale: False
      lr_downscale_types: [1, 2]
      phase: val
      scale: 4
      data_type: img
    ]
  ]
  path:[
    strict: False
    root: C:\nn\BasicSR
    pretrain_model_G: ..\experiments\pretrained_models\RRDB_ESRGAN_x4.pth
    resume_state: ..\experiments\4x_UniversalUpscalerV2-Sharper\training_state\latest.state
    experiments_root: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper
    models: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models
    training_state: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\training_state
    log: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper
    val_images: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\val_images
  ]
  network_G:[
    strict: False
    which_model_G: RRDB_net
    norm_type: None
    mode: CNA
    nf: 64
    nb: 23
    nr: 3
    in_nc: 3
    out_nc: 3
    gc: 32
    group: 1
    convtype: Conv2D
    net_act: leakyrelu
    gaussian: True
    plus: False
    scale: 4
  ]
  network_D:[
    strict: True
    which_model_D: multiscale
    norm_type: batch
    act_type: leakyrelu
    mode: CNA
    nf: 64
    in_nc: 3
    nlayer: 3
    num_D: 3
  ]
  train:[
    lr_G: 0.0001
    weight_decay_G: 0
    beta1_G: 0.9
    lr_D: 0.0001
    weight_decay_D: 0
    beta1_D: 0.9
    lr_scheme: MultiStepLR
    lr_gamma: 0.5
    swa_start_iter: 100000
    swa_lr: 0.0001
    swa_anneal_epochs: 10
    swa_anneal_strategy: cos
    pixel_criterion: l1
    pixel_weight: 0.1
    cx_weight: 0.5
    cx_type: contextual
    cx_vgg_layers:[
      conv_3_2: 1
      conv_3_1: 1
      conv_4_2: 1
      conv_4_1: 1
      conv_5_2: 1
      conv_5_1: 1
    ]
    ssim_type: ms-ssim
    ssim_weight: 1
    gan_type: vanilla
    gan_weight: 0.009
    manual_seed: 0
    niter: 500000.0
    val_freq: 1000
    metrics: psnr,ssim,lpips
    overwrite_val_imgs: None
    val_comparison: None
    lr_steps: [50000, 100000, 200000, 300000]
  ]
  logger:[
    print_freq: 200
    save_checkpoint_freq: 1000
    overwrite_chkp: False
  ]
  is_train: True

21-03-31 11:46:15.585 - INFO: Random seed: 0
21-03-31 11:46:16.779 - INFO: Set [resume_state] to ..\experiments\4x_UniversalUpscalerV2-Sharper\training_state\latest.state
21-03-31 11:46:16.780 - INFO: Resuming training from epoch: 405, iter: 47409.
21-03-31 11:46:16.780 - WARNING: pretrain_model paths will be ignored when resuming training from a .state file.
21-03-31 11:46:16.780 - INFO: Set [pretrain_model_G] to C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models\latest_G.pth
21-03-31 11:46:16.780 - INFO: Set [pretrain_model_D] to C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models\latest_D.pth
21-03-31 11:46:16.798 - INFO: Dataset [LRHRDataset - DIV2K] is created.
21-03-31 11:46:16.798 - INFO: Number of train images: 470, iters: 118
21-03-31 11:46:16.798 - INFO: Total epochs needed: 4238 for iters 500,000
21-03-31 11:46:16.799 - INFO: Dataset [LRHRDataset - val_images] is created.
21-03-31 11:46:16.799 - INFO: Number of val images in [val_images]: 3
21-03-31 11:46:18.259 - INFO: AMP library available
21-03-31 11:46:18.385 - INFO: Initialization method [kaiming]
21-03-31 11:46:18.595 - INFO: Initialization method [kaiming]
21-03-31 11:46:18.651 - INFO: Loading pretrained model for G [C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models\latest_G.pth] ...
21-03-31 11:46:18.857 - INFO: Loading pretrained model for D [C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models\latest_D.pth] ...
21-03-31 11:46:20.092 - INFO: SWA enabled. Starting on iter: 100000, lr: 0.0001
21-03-31 11:46:20.094 - INFO: AMP enabled
21-03-31 11:46:20.103 - INFO: Network G structure: DataParallel - RRDBNet, with parameters: 16,697,987
21-03-31 11:46:20.103 - INFO: Network D structure: DataParallel - MultiscaleDiscriminator, with parameters: 8,296,899
21-03-31 11:46:20.103 - INFO: Model [SRRaGANModel] is created.
21-03-31 11:46:20.184 - INFO: Start training from epoch: 405, iter: 47409
21-03-31 11:47:13.302 - INFO: End of epoch 405 / 4238 	 Time Taken: 53.1182 sec
21-03-31 11:47:46.948 - INFO: <epoch:406, iter:  47,600, lr:1.000e-04, t:-1.0000s, td:0.0363s, eta:0.0000h> pix-l1: 3.7166e-03 contextual: 3.3082e+00 l_g_gan: 8.4796e-02 ms-ssim: 6.9365e-02 l_d_real: 2.2822e+00 l_d_fake: 2.2749e+00 D_real: 5.3203e+00 D_fake: -2.7695e+00 
21-03-31 11:48:04.642 - INFO: End of epoch 406 / 4238 	 Time Taken: 51.3399 sec
21-03-31 11:48:55.973 - INFO: End of epoch 407 / 4238 	 Time Taken: 51.3314 sec
21-03-31 11:49:15.741 - INFO: <epoch:408, iter:  47,800, lr:1.000e-04, t:-1.0000s, td:0.0345s, eta:0.0000h> pix-l1: 4.3929e-03 contextual: 5.5016e+00 l_g_gan: 1.3587e-01 ms-ssim: 1.0290e-01 l_d_real: 2.7996e-01 l_d_fake: 2.7934e-01 D_real: 1.0500e+01 D_fake: 2.3945e+00 
21-03-31 11:49:47.316 - INFO: End of epoch 408 / 4238 	 Time Taken: 51.3431 sec
21-03-31 11:50:40.618 - INFO: End of epoch 409 / 4238 	 Time Taken: 53.3003 sec
21-03-31 11:50:47.425 - INFO: <epoch:410, iter:  48,000, lr:1.000e-04, t:88.7919s, td:0.0385s, eta:11148.3134h> pix-l1: 6.7629e-03 contextual: 5.3637e+00 l_g_gan: 4.8044e-02 ms-ssim: 1.0157e-01 l_d_real: 1.2150e+00 l_d_fake: 1.2482e+00 D_real: 1.6781e+01 D_fake: 1.3781e+01 
21-03-31 11:50:48.045 - INFO: Models and training states saved.
21-03-31 11:50:56.238 - INFO: # Validation # PSNR: 29.89, SSIM: 0.80248, LPIPS: 0.061825
21-03-31 11:50:56.238 - INFO: <epoch:410, iter:  48,000> PSNR: 29.89, SSIM: 0.80248, LPIPS: 0.061825
21-03-31 11:51:43.840 - INFO: End of epoch 410 / 4238 	 Time Taken: 63.2222 sec
21-03-31 11:52:25.375 - INFO: <epoch:411, iter:  48,200, lr:1.000e-04, t:91.6841s, td:0.0181s, eta:11506.3556h> pix-l1: 2.8974e-03 contextual: 2.7923e+00 l_g_gan: 1.0437e-01 ms-ssim: 3.2632e-02 l_d_real: 4.3403e-01 l_d_fake: 4.3139e-01 D_real: 2.5605e+00 D_fake: -4.7188e+00 
21-03-31 11:52:37.566 - INFO: End of epoch 411 / 4238 	 Time Taken: 53.7260 sec
21-03-31 11:53:31.202 - INFO: End of epoch 412 / 4238 	 Time Taken: 53.6365 sec
21-03-31 11:53:58.252 - INFO: <epoch:413, iter:  48,400, lr:1.000e-04, t:97.9499s, td:0.0360s, eta:12287.2685h> pix-l1: 4.2475e-03 contextual: 4.7521e+00 l_g_gan: 1.0526e-01 ms-ssim: 1.0570e-01 l_d_real: 5.8233e-01 l_d_fake: 5.7337e-01 D_real: 1.0867e+01 D_fake: 2.7910e+00 
21-03-31 11:54:24.862 - INFO: End of epoch 413 / 4238 	 Time Taken: 53.6595 sec
21-03-31 11:55:19.934 - INFO: End of epoch 414 / 4238 	 Time Taken: 55.0721 sec
21-03-31 11:55:32.494 - INFO: <epoch:415, iter:  48,600, lr:1.000e-04, t:92.8770s, td:0.0362s, eta:11645.7399h> pix-l1: 5.6514e-03 contextual: 4.3128e+00 l_g_gan: 6.4912e-02 ms-ssim: 8.7496e-02 l_d_real: 1.9327e+00 l_d_fake: 1.9194e+00 D_real: 9.1328e+00 D_fake: 3.3770e+00 
21-03-31 11:56:13.497 - INFO: End of epoch 415 / 4238 	 Time Taken: 53.5622 sec
21-03-31 11:57:01.257 - INFO: <epoch:416, iter:  48,800, lr:1.000e-04, t:94.2421s, td:0.0182s, eta:11811.6721h> pix-l1: 4.5167e-03 contextual: 3.8049e+00 l_g_gan: 1.1617e-01 ms-ssim: 7.3803e-02 l_d_real: 6.4273e-01 l_d_fake: 6.4634e-01 D_real: -2.0391e+00 D_fake: -9.1484e+00 
21-03-31 11:57:06.971 - INFO: End of epoch 416 / 4238 	 Time Taken: 53.4740 sec
21-03-31 11:58:00.440 - INFO: End of epoch 417 / 4238 	 Time Taken: 53.4688 sec
21-03-31 11:58:33.826 - INFO: <epoch:418, iter:  49,000, lr:1.000e-04, t:88.7627s, td:0.0362s, eta:11119.9969h> pix-l1: 4.0261e-03 contextual: 3.1435e+00 l_g_gan: 1.0925e-01 ms-ssim: 6.1865e-02 l_d_real: 4.8062e-01 l_d_fake: 4.3117e-01 D_real: -7.2031e+00 D_fake: -1.3484e+01 
21-03-31 11:58:34.445 - INFO: Models and training states saved.
21-03-31 11:58:40.236 - INFO: # Validation # PSNR: 29.944, SSIM: 0.8071, LPIPS: 0.057841
21-03-31 11:58:40.236 - INFO: <epoch:418, iter:  49,000> PSNR: 29.944, SSIM: 0.8071, LPIPS: 0.057841
21-03-31 11:59:00.413 - INFO: End of epoch 418 / 4238 	 Time Taken: 59.9726 sec
21-03-31 11:59:53.870 - INFO: End of epoch 419 / 4238 	 Time Taken: 53.4570 sec
21-03-31 12:00:12.787 - INFO: <epoch:420, iter:  49,200, lr:1.000e-04, t:92.5696s, td:0.0362s, eta:11591.7691h> pix-l1: 2.7455e-03 contextual: 4.9563e+00 l_g_gan: 1.2000e-01 ms-ssim: 7.3318e-02 l_d_real: 6.0698e-01 l_d_fake: 6.1054e-01 D_real: 6.5000e+00 D_fake: -3.0293e+00 
21-03-31 12:00:47.406 - INFO: End of epoch 420 / 4238 	 Time Taken: 53.5358 sec
21-03-31 12:01:40.936 - INFO: End of epoch 421 / 4238 	 Time Taken: 53.5301 sec
21-03-31 12:01:45.432 - INFO: <epoch:422, iter:  49,400, lr:1.000e-04, t:98.9609s, td:0.0362s, eta:12386.6080h> pix-l1: 3.4234e-03 contextual: 3.0650e+00 l_g_gan: 6.4141e-02 ms-ssim: 6.4404e-02 l_d_real: 1.2902e+00 l_d_fake: 1.1972e+00 D_real: 3.3145e+00 D_fake: -8.0664e-01 
21-03-31 12:02:34.481 - INFO: End of epoch 422 / 4238 	 Time Taken: 53.5449 sec
21-03-31 12:03:14.218 - INFO: <epoch:423, iter:  49,600, lr:1.000e-04, t:92.6446s, td:0.0183s, eta:11590.8676h> pix-l1: 5.5306e-03 contextual: 4.1525e+00 l_g_gan: 5.4306e-02 ms-ssim: 7.9583e-02 l_d_real: 8.5997e-01 l_d_fake: 8.3885e-01 D_real: 8.1562e+00 D_fake: 4.8867e+00 
21-03-31 12:03:28.064 - INFO: End of epoch 423 / 4238 	 Time Taken: 53.5829 sec
21-03-31 12:04:21.646 - INFO: End of epoch 424 / 4238 	 Time Taken: 53.5818 sec
21-03-31 12:04:46.961 - INFO: <epoch:425, iter:  49,800, lr:1.000e-04, t:88.7864s, td:0.0364s, eta:11103.2364h> pix-l1: 7.5063e-03 contextual: 4.3016e+00 l_g_gan: 1.0665e-01 ms-ssim: 1.0500e-01 l_d_real: 3.9552e-01 l_d_fake: 3.9780e-01 D_real: 1.2453e+01 D_fake: 5.3281e+00 
21-03-31 12:05:15.677 - INFO: End of epoch 425 / 4238 	 Time Taken: 54.0311 sec
21-03-31 12:06:07.451 - INFO: End of epoch 426 / 4238 	 Time Taken: 51.7729 sec
21-03-31 12:06:17.962 - INFO: <epoch:427, iter:  50,000, lr:1.000e-04, t:92.7434s, td:0.0355s, eta:11592.9242h> pix-l1: 5.1951e-03 contextual: 3.5889e+00 l_g_gan: 1.0157e-01 ms-ssim: 6.5447e-02 l_d_real: 1.2408e+00 l_d_fake: 1.1870e+00 D_real: 5.6719e+00 D_fake: -3.0391e+00 
21-03-31 12:06:18.573 - INFO: Models and training states saved.
21-03-31 12:06:24.220 - INFO: # Validation # PSNR: 30.325, SSIM: 0.81798, LPIPS: 0.062532
21-03-31 12:06:24.220 - INFO: <epoch:427, iter:  50,000> PSNR: 30.325, SSIM: 0.81798, LPIPS: 0.062532
21-03-31 12:07:05.406 - INFO: End of epoch 427 / 4238 	 Time Taken: 57.9546 sec
21-03-31 12:07:49.919 - INFO: <epoch:428, iter:  50,200, lr:5.000e-05, t:91.0012s, td:0.0176s, eta:11370.0930h> pix-l1: 5.2677e-03 contextual: 4.0017e+00 l_g_gan: 6.9651e-02 ms-ssim: 7.7070e-02 l_d_real: 8.8963e-01 l_d_fake: 8.7603e-01 D_real: 1.9727e+00 D_fake: -3.4141e+00 
21-03-31 12:07:57.109 - INFO: End of epoch 428 / 4238 	 Time Taken: 51.7030 sec
21-03-31 12:08:48.833 - INFO: End of epoch 429 / 4238 	 Time Taken: 51.7246 sec
21-03-31 12:09:19.422 - INFO: <epoch:430, iter:  50,400, lr:5.000e-05, t:91.9567s, td:0.0352s, eta:11484.3676h> pix-l1: 5.8450e-03 contextual: 3.4060e+00 l_g_gan: 1.5198e-01 ms-ssim: 7.5230e-02 l_d_real: 5.2784e-01 l_d_fake: 5.2953e-01 D_real: 1.6469e+01 D_fake: 4.8125e+00 
21-03-31 12:09:40.518 - INFO: End of epoch 430 / 4238 	 Time Taken: 51.6840 sec
21-03-31 12:10:32.341 - INFO: End of epoch 431 / 4238 	 Time Taken: 51.8235 sec
21-03-31 12:10:49.033 - INFO: <epoch:432, iter:  50,600, lr:5.000e-05, t:89.5022s, td:0.0359s, eta:11172.8627h> pix-l1: 4.3303e-03 contextual: 2.5116e+00 l_g_gan: 8.4789e-02 ms-ssim: 7.2712e-02 l_d_real: 3.2526e-01 l_d_fake: 3.2433e-01 D_real: 1.1250e+01 D_fake: 5.8438e+00 
21-03-31 12:11:24.106 - INFO: End of epoch 432 / 4238 	 Time Taken: 51.7651 sec
21-03-31 12:12:14.769 - INFO: <epoch:433, iter:  50,800, lr:5.000e-05, t:89.6112s, td:0.0176s, eta:11181.4847h> pix-l1: 2.8969e-03 contextual: 3.1546e+00 l_g_gan: 1.0985e-01 ms-ssim: 2.7119e-02 l_d_real: 7.0600e-01 l_d_fake: 7.0486e-01 D_real: -2.9121e+00 D_fake: -1.0102e+01 
21-03-31 12:12:15.788 - INFO: End of epoch 433 / 4238 	 Time Taken: 51.6820 sec
21-03-31 12:13:07.726 - INFO: End of epoch 434 / 4238 	 Time Taken: 51.9379 sec
21-03-31 12:13:44.518 - INFO: <epoch:435, iter:  51,000, lr:5.000e-05, t:85.7366s, td:0.0358s, eta:10693.2637h> pix-l1: 4.1110e-03 contextual: 3.0192e+00 l_g_gan: 1.2992e-01 ms-ssim: 6.7829e-02 l_d_real: 4.3694e-01 l_d_fake: 4.3953e-01 D_real: -4.7617e+00 D_fake: -1.3984e+01 
21-03-31 12:13:45.128 - INFO: Models and training states saved.
21-03-31 12:13:50.800 - INFO: # Validation # PSNR: 30.57, SSIM: 0.81119, LPIPS: 0.055348
21-03-31 12:13:50.800 - INFO: <epoch:435, iter:  51,000> PSNR: 30.57, SSIM: 0.81119, LPIPS: 0.055348
21-03-31 12:14:05.804 - INFO: End of epoch 435 / 4238 	 Time Taken: 58.0776 sec
21-03-31 12:14:57.597 - INFO: End of epoch 436 / 4238 	 Time Taken: 51.7922 sec
21-03-31 12:15:22.904 - INFO: <epoch:437, iter:  51,200, lr:5.000e-05, t:89.7484s, td:0.0356s, eta:11188.6322h> pix-l1: 3.5918e-03 contextual: 3.1835e+00 l_g_gan: 6.9029e-02 ms-ssim: 4.3589e-02 l_d_real: 6.9304e-01 l_d_fake: 6.9647e-01 D_real: -3.1465e+00 D_fake: -7.5977e+00 
21-03-31 12:15:54.497 - INFO: End of epoch 437 / 4238 	 Time Taken: 56.9003 sec
21-03-31 12:16:46.868 - INFO: End of epoch 438 / 4238 	 Time Taken: 52.3708 sec
21-03-31 12:16:55.732 - INFO: <epoch:439, iter:  51,400, lr:5.000e-05, t:98.3859s, td:0.0356s, eta:12259.9710h> pix-l1: 4.5270e-03 contextual: 4.4876e+00 l_g_gan: 1.0468e-01 ms-ssim: 7.4119e-02 l_d_real: 5.5700e-01 l_d_fake: 5.5965e-01 D_real: 7.4062e+00 D_fake: 6.7090e-01 
21-03-31 12:17:38.496 - INFO: End of epoch 439 / 4238 	 Time Taken: 51.6287 sec
21-03-31 12:18:21.334 - INFO: <epoch:440, iter:  51,600, lr:5.000e-05, t:92.8285s, td:0.0176s, eta:11562.3033h> pix-l1: 4.8806e-03 contextual: 6.3426e+00 l_g_gan: 1.3809e-01 ms-ssim: 1.0212e-01 l_d_real: 2.2277e-01 l_d_fake: 2.2304e-01 D_real: 1.5297e+01 D_fake: 6.3828e+00 
21-03-31 12:18:30.124 - INFO: End of epoch 440 / 4238 	 Time Taken: 51.6278 sec
21-03-31 12:19:21.774 - INFO: End of epoch 441 / 4238 	 Time Taken: 51.6502 sec
21-03-31 12:19:50.694 - INFO: <epoch:442, iter:  51,800, lr:5.000e-05, t:85.6023s, td:0.0351s, eta:10657.4868h> pix-l1: 5.8958e-03 contextual: 4.4285e+00 l_g_gan: 7.3130e-02 ms-ssim: 1.1029e-01 l_d_real: 1.5482e+00 l_d_fake: 1.5589e+00 D_real: 2.1125e+01 D_fake: 1.4898e+01 
21-03-31 12:20:13.392 - INFO: End of epoch 442 / 4238 	 Time Taken: 51.6181 sec
21-03-31 12:21:04.988 - INFO: End of epoch 443 / 4238 	 Time Taken: 51.5960 sec
21-03-31 12:21:19.977 - INFO: <epoch:444, iter:  52,000, lr:5.000e-05, t:89.3599s, td:0.0352s, eta:11120.3383h> pix-l1: 6.8977e-03 contextual: 5.6909e+00 l_g_gan: 1.1527e-01 ms-ssim: 1.0968e-01 l_d_real: 5.1929e-01 l_d_fake: 5.2015e-01 D_real: 2.1609e+01 D_fake: 1.3945e+01 
21-03-31 12:21:20.587 - INFO: Models and training states saved.
21-03-31 12:21:26.235 - INFO: # Validation # PSNR: 30.327, SSIM: 0.81617, LPIPS: 0.057677
21-03-31 12:21:26.235 - INFO: <epoch:444, iter:  52,000> PSNR: 30.327, SSIM: 0.81617, LPIPS: 0.057677
21-03-31 12:22:02.874 - INFO: End of epoch 444 / 4238 	 Time Taken: 57.8853 sec
21-03-31 12:22:51.878 - INFO: <epoch:445, iter:  52,200, lr:5.000e-05, t:89.2832s, td:0.0176s, eta:11105.8377h> pix-l1: 5.0618e-03 contextual: 5.4639e+00 l_g_gan: 9.0032e-02 ms-ssim: 1.1706e-01 l_d_real: 4.0471e-01 l_d_fake: 3.9272e-01 D_real: 1.1094e+01 D_fake: 4.8555e+00 
21-03-31 12:22:54.529 - INFO: End of epoch 445 / 4238 	 Time Taken: 51.6557 sec
21-03-31 12:23:46.133 - INFO: End of epoch 446 / 4238 	 Time Taken: 51.6040 sec
21-03-31 12:24:21.201 - INFO: <epoch:447, iter:  52,400, lr:5.000e-05, t:91.9009s, td:0.0351s, eta:11426.3491h> pix-l1: 3.0488e-03 contextual: 3.9280e+00 l_g_gan: 9.9879e-02 ms-ssim: 1.0272e-01 l_d_real: 1.1062e+00 l_d_fake: 1.1130e+00 D_real: 5.1172e+00 D_fake: -4.1914e+00 
21-03-31 12:24:37.751 - INFO: End of epoch 447 / 4238 	 Time Taken: 51.6167 sec
21-03-31 12:25:29.341 - INFO: End of epoch 448 / 4238 	 Time Taken: 51.5906 sec
21-03-31 12:25:50.478 - INFO: <epoch:449, iter:  52,600, lr:5.000e-05, t:89.3227s, td:0.0352s, eta:11100.8270h> pix-l1: 3.3235e-03 contextual: 4.3546e+00 l_g_gan: 1.2694e-01 ms-ssim: 8.7010e-02 l_d_real: 3.1583e-01 l_d_fake: 3.1675e-01 D_real: 8.0781e+00 D_fake: -1.1973e+00 
21-03-31 12:26:20.931 - INFO: End of epoch 449 / 4238 	 Time Taken: 51.5895 sec
21-03-31 12:27:12.499 - INFO: End of epoch 450 / 4238 	 Time Taken: 51.5678 sec
21-03-31 12:27:19.709 - INFO: <epoch:451, iter:  52,800, lr:5.000e-05, t:89.2770s, td:0.0351s, eta:11090.1917h> pix-l1: 5.2794e-03 contextual: 4.1793e+00 l_g_gan: 8.6926e-02 ms-ssim: 8.6085e-02 l_d_real: 5.8987e-01 l_d_fake: 6.0256e-01 D_real: 1.4211e+01 D_fake: 7.4375e+00 
21-03-31 12:28:04.108 - INFO: End of epoch 451 / 4238 	 Time Taken: 51.6091 sec
21-03-31 12:28:45.306 - INFO: <epoch:452, iter:  53,000, lr:5.000e-05, t:89.2317s, td:0.0176s, eta:11079.5980h> pix-l1: 8.1621e-04 contextual: 2.1451e+00 l_g_gan: 5.1272e-02 ms-ssim: 1.3928e-02 l_d_real: 9.3570e-01 l_d_fake: 8.3861e-01 D_real: -9.5781e+00 D_fake: -1.2477e+01 
21-03-31 12:28:45.942 - INFO: Models and training states saved.
21-03-31 12:28:51.619 - INFO: # Validation # PSNR: 30.256, SSIM: 0.81127, LPIPS: 0.05515
21-03-31 12:28:51.619 - INFO: <epoch:452, iter:  53,000> PSNR: 30.256, SSIM: 0.81127, LPIPS: 0.05515
21-03-31 12:29:02.056 - INFO: End of epoch 452 / 4238 	 Time Taken: 57.9474 sec
21-03-31 12:29:53.669 - INFO: End of epoch 453 / 4238 	 Time Taken: 51.6127 sec
21-03-31 12:30:20.945 - INFO: <epoch:454, iter:  53,200, lr:5.000e-05, t:85.5958s, td:0.0351s, eta:10623.3922h> pix-l1: 5.7530e-03 contextual: 4.8315e+00 l_g_gan: 3.4931e-02 ms-ssim: 7.5366e-02 l_d_real: 1.6243e+00 l_d_fake: 1.5897e+00 D_real: 1.2094e+01 D_fake: 1.1930e+01 
21-03-31 12:30:45.301 - INFO: End of epoch 454 / 4238 	 Time Taken: 51.6322 sec
21-03-31 12:31:36.767 - INFO: End of epoch 455 / 4238 	 Time Taken: 51.4664 sec
21-03-31 12:31:50.093 - INFO: <epoch:456, iter:  53,400, lr:5.000e-05, t:95.6395s, td:0.0351s, eta:11864.6132h> pix-l1: 5.9735e-03 contextual: 3.3702e+00 l_g_gan: 8.2226e-02 ms-ssim: 7.4633e-02 l_d_real: 7.6794e-01 l_d_fake: 7.6824e-01 D_real: 1.4211e+01 D_fake: 8.0469e+00 
21-03-31 12:32:28.280 - INFO: End of epoch 456 / 4238 	 Time Taken: 51.5127 sec
21-03-31 12:33:15.604 - INFO: <epoch:457, iter:  53,600, lr:5.000e-05, t:89.1480s, td:0.0176s, eta:11054.3566h> pix-l1: 3.1341e-03 contextual: 3.1428e+00 l_g_gan: 7.6495e-02 ms-ssim: 3.3359e-02 l_d_real: 6.6063e-01 l_d_fake: 6.5629e-01 D_real: -5.4609e+00 D_fake: -1.0461e+01 
21-03-31 12:33:19.888 - INFO: End of epoch 457 / 4238 	 Time Taken: 51.6080 sec
21-03-31 12:34:11.475 - INFO: End of epoch 458 / 4238 	 Time Taken: 51.5861 sec
21-03-31 12:34:44.912 - INFO: <epoch:459, iter:  53,800, lr:5.000e-05, t:85.5113s, td:0.0351s, eta:10598.6501h> pix-l1: 2.7104e-03 contextual: 5.2424e+00 l_g_gan: 1.3458e-01 ms-ssim: 9.3847e-02 l_d_real: 3.6049e-01 l_d_fake: 3.5934e-01 D_real: -4.3140e-01 D_fake: -9.4219e+00 
21-03-31 12:35:03.110 - INFO: End of epoch 459 / 4238 	 Time Taken: 51.6345 sec
21-03-31 12:35:54.688 - INFO: End of epoch 460 / 4238 	 Time Taken: 51.5789 sec
21-03-31 12:36:14.193 - INFO: <epoch:461, iter:  54,000, lr:5.000e-05, t:89.3079s, td:0.0352s, eta:11064.2585h> pix-l1: 4.0816e-03 contextual: 2.9725e+00 l_g_gan: 1.0134e-01 ms-ssim: 5.9975e-02 l_d_real: 7.7091e-01 l_d_fake: 7.7761e-01 D_real: 2.1992e+00 D_fake: -4.3555e+00 
21-03-31 12:36:14.797 - INFO: Models and training states saved.
21-03-31 12:36:20.408 - INFO: # Validation # PSNR: 30.802, SSIM: 0.82043, LPIPS: 0.059125
21-03-31 12:36:20.408 - INFO: <epoch:461, iter:  54,000> PSNR: 30.802, SSIM: 0.82043, LPIPS: 0.059125
21-03-31 12:36:52.551 - INFO: End of epoch 461 / 4238 	 Time Taken: 57.8626 sec
21-03-31 12:37:44.182 - INFO: End of epoch 462 / 4238 	 Time Taken: 51.6309 sec
21-03-31 12:37:49.752 - INFO: <epoch:463, iter:  54,200, lr:5.000e-05, t:89.2812s, td:0.0351s, eta:11055.9917h> pix-l1: 7.6616e-03 contextual: 5.0697e+00 l_g_gan: 3.7800e-02 ms-ssim: 1.6716e-01 l_d_real: 2.9469e+00 l_d_fake: 2.8967e+00 D_real: 2.2219e+01 D_fake: 1.9719e+01 
21-03-31 12:38:35.796 - INFO: End of epoch 463 / 4238 	 Time Taken: 51.6127 sec
21-03-31 12:39:15.342 - INFO: <epoch:464, iter:  54,400, lr:5.000e-05, t:95.5580s, td:0.0175s, eta:11827.9553h> pix-l1: 6.2875e-03 contextual: 5.2113e+00 l_g_gan: 1.2469e-01 ms-ssim: 1.0214e-01 l_d_real: 3.7716e-01 l_d_fake: 3.7919e-01 D_real: 1.7578e+01 D_fake: 8.7734e+00 
21-03-31 12:39:27.446 - INFO: End of epoch 464 / 4238 	 Time Taken: 51.6505 sec
21-03-31 12:40:19.044 - INFO: End of epoch 465 / 4238 	 Time Taken: 51.5982 sec
21-03-31 12:40:44.673 - INFO: <epoch:466, iter:  54,600, lr:5.000e-05, t:85.5908s, td:0.0352s, eta:10589.4863h> pix-l1: 4.8752e-03 contextual: 5.2714e+00 l_g_gan: 5.0649e-02 ms-ssim: 9.9954e-02 l_d_real: 1.2235e+00 l_d_fake: 1.1985e+00 D_real: 1.6172e+01 D_fake: 1.2289e+01 
21-03-31 12:41:10.647 - INFO: End of epoch 466 / 4238 	 Time Taken: 51.6026 sec
21-03-31 12:42:02.250 - INFO: End of epoch 467 / 4238 	 Time Taken: 51.6031 sec
21-03-31 12:42:13.955 - INFO: <epoch:468, iter:  54,800, lr:5.000e-05, t:89.3307s, td:0.0350s, eta:11047.2256h> pix-l1: 2.8566e-03 contextual: 3.3705e+00 l_g_gan: 1.3273e-02 ms-ssim: 4.5396e-02 l_d_real: 4.5957e+00 l_d_fake: 4.6197e+00 D_real: -5.3516e-01 D_fake: 1.2488e-01 
21-03-31 12:42:53.804 - INFO: End of epoch 468 / 4238 	 Time Taken: 51.5539 sec
21-03-31 12:43:39.493 - INFO: <epoch:469, iter:  55,000, lr:5.000e-05, t:89.2818s, td:0.0176s, eta:11036.2263h> pix-l1: 3.3383e-03 contextual: 4.4493e+00 l_g_gan: 1.5807e-01 ms-ssim: 6.5663e-02 l_d_real: 2.8386e-01 l_d_fake: 2.8300e-01 D_real: 1.5820e+00 D_fake: -1.0047e+01 
21-03-31 12:43:40.102 - INFO: Models and training states saved.
21-03-31 12:43:45.751 - INFO: # Validation # PSNR: 30.749, SSIM: 0.81738, LPIPS: 0.056922
21-03-31 12:43:45.751 - INFO: <epoch:469, iter:  55,000> PSNR: 30.749, SSIM: 0.81738, LPIPS: 0.056922
21-03-31 12:43:51.686 - INFO: End of epoch 469 / 4238 	 Time Taken: 57.8815 sec
21-03-31 12:44:43.372 - INFO: End of epoch 470 / 4238 	 Time Taken: 51.6858 sec
21-03-31 12:45:15.160 - INFO: <epoch:471, iter:  55,200, lr:5.000e-05, t:85.5377s, td:0.0353s, eta:10568.6617h> pix-l1: 4.5702e-03 contextual: 2.8251e+00 l_g_gan: 7.4613e-02 ms-ssim: 7.5318e-02 l_d_real: 1.1012e+00 l_d_fake: 1.1014e+00 D_real: -1.8154e+00 D_fake: -8.0391e+00 
21-03-31 12:45:35.008 - INFO: End of epoch 471 / 4238 	 Time Taken: 51.6355 sec
21-03-31 12:46:26.592 - INFO: End of epoch 472 / 4238 	 Time Taken: 51.5841 sec
21-03-31 12:46:44.471 - INFO: <epoch:473, iter:  55,400, lr:5.000e-05, t:95.6674s, td:0.0352s, eta:11814.9218h> pix-l1: 4.4298e-03 contextual: 3.3589e+00 l_g_gan: 6.8356e-02 ms-ssim: 7.0295e-02 l_d_real: 9.2888e-01 l_d_fake: 9.3204e-01 D_real: 4.3555e+00 D_fake: -1.5820e-01 
21-03-31 12:47:18.223 - INFO: End of epoch 473 / 4238 	 Time Taken: 51.6303 sec
21-03-31 12:48:09.832 - INFO: End of epoch 474 / 4238 	 Time Taken: 51.6092 sec
21-03-31 12:48:13.781 - INFO: <epoch:475, iter:  55,600, lr:5.000e-05, t:89.3108s, td:0.0352s, eta:11024.9205h> pix-l1: 2.1078e-03 contextual: 2.5003e+00 l_g_gan: 1.3741e-01 ms-ssim: 3.1535e-02 l_d_real: 4.6428e-01 l_d_fake: 4.6154e-01 D_real: -4.8203e+00 D_fake: -1.4148e+01 
21-03-31 12:49:01.425 - INFO: End of epoch 475 / 4238 	 Time Taken: 51.5932 sec
21-03-31 12:49:39.307 - INFO: <epoch:476, iter:  55,800, lr:5.000e-05, t:89.3097s, td:0.0175s, eta:11019.8282h> pix-l1: 1.7938e-03 contextual: 2.6596e+00 l_g_gan: 4.1738e-02 ms-ssim: 2.5934e-02 l_d_real: 1.5921e+00 l_d_fake: 1.5922e+00 D_real: -1.5297e+01 D_fake: -1.8375e+01 
21-03-31 12:49:53.077 - INFO: End of epoch 476 / 4238 	 Time Taken: 51.6509 sec
21-03-31 12:50:44.672 - INFO: End of epoch 477 / 4238 	 Time Taken: 51.5944 sec
21-03-31 12:51:08.675 - INFO: <epoch:478, iter:  56,000, lr:5.000e-05, t:85.5267s, td:0.0351s, eta:10548.2916h> pix-l1: 5.5845e-03 contextual: 4.3428e+00 l_g_gan: 1.2742e-01 ms-ssim: 7.7387e-02 l_d_real: 4.3563e-01 l_d_fake: 4.3487e-01 D_real: 8.3828e+00 D_fake: 2.0435e-01 
21-03-31 12:51:09.287 - INFO: Models and training states saved.
21-03-31 12:51:14.955 - INFO: # Validation # PSNR: 30.755, SSIM: 0.81536, LPIPS: 0.054339
21-03-31 12:51:14.955 - INFO: <epoch:478, iter:  56,000> PSNR: 30.755, SSIM: 0.81536, LPIPS: 0.054339
21-03-31 12:51:42.522 - INFO: End of epoch 478 / 4238 	 Time Taken: 57.8498 sec
21-03-31 12:52:34.052 - INFO: End of epoch 479 / 4238 	 Time Taken: 51.5297 sec
21-03-31 12:52:44.124 - INFO: <epoch:480, iter:  56,200, lr:5.000e-05, t:89.3674s, td:0.0352s, eta:11017.0153h> pix-l1: 5.0907e-03 contextual: 4.3687e+00 l_g_gan: 1.1522e-01 ms-ssim: 9.0509e-02 l_d_real: 7.6643e-01 l_d_fake: 7.6865e-01 D_real: 1.4070e+01 D_fake: 6.4766e+00 
21-03-31 12:53:25.645 - INFO: End of epoch 480 / 4238 	 Time Taken: 51.5925 sec
21-03-31 12:54:09.683 - INFO: <epoch:481, iter:  56,400, lr:5.000e-05, t:95.4494s, td:0.0176s, eta:11761.4853h> pix-l1: 4.0065e-03 contextual: 3.9865e+00 l_g_gan: 7.7772e-02 ms-ssim: 7.5643e-02 l_d_real: 3.8723e-01 l_d_fake: 3.7138e-01 D_real: -2.1074e+00 D_fake: -6.4023e+00 
21-03-31 12:54:17.244 - INFO: End of epoch 481 / 4238 	 Time Taken: 51.5982 sec
21-03-31 12:55:08.932 - INFO: End of epoch 482 / 4238 	 Time Taken: 51.6875 sec
21-03-31 12:55:39.057 - INFO: <epoch:483, iter:  56,600, lr:5.000e-05, t:85.5592s, td:0.0352s, eta:10538.0448h> pix-l1: 3.3755e-03 contextual: 4.1760e+00 l_g_gan: 1.2506e-01 ms-ssim: 6.6151e-02 l_d_real: 2.6832e-01 l_d_fake: 2.6762e-01 D_real: 9.4531e+00 D_fake: 3.0957e+00 
21-03-31 12:56:00.536 - INFO: End of epoch 483 / 4238 	 Time Taken: 51.6046 sec
21-03-31 12:56:52.170 - INFO: End of epoch 484 / 4238 	 Time Taken: 51.6337 sec
21-03-31 12:57:08.392 - INFO: <epoch:485, iter:  56,800, lr:5.000e-05, t:89.3742s, td:0.0352s, eta:11002.9607h> pix-l1: 3.4075e-03 contextual: 4.3000e+00 l_g_gan: 8.4772e-02 ms-ssim: 6.8293e-02 l_d_real: 4.7639e-01 l_d_fake: 5.0854e-01 D_real: 3.3652e+00 D_fake: -2.7402e+00 
21-03-31 12:57:43.790 - INFO: End of epoch 485 / 4238 	 Time Taken: 51.6197 sec
21-03-31 12:58:33.982 - INFO: <epoch:486, iter:  57,000, lr:5.000e-05, t:89.3349s, td:0.0176s, eta:10993.1569h> pix-l1: 3.7659e-03 contextual: 3.9435e+00 l_g_gan: 8.5314e-02 ms-ssim: 8.2522e-02 l_d_real: 2.0947e+00 l_d_fake: 2.0941e+00 D_real: 5.7734e+00 D_fake: -2.3945e+00 
21-03-31 12:58:34.590 - INFO: Models and training states saved.
21-03-31 12:58:40.225 - INFO: # Validation # PSNR: 30.152, SSIM: 0.80499, LPIPS: 0.056815
21-03-31 12:58:40.225 - INFO: <epoch:486, iter:  57,000> PSNR: 30.152, SSIM: 0.80499, LPIPS: 0.056815
21-03-31 12:58:41.657 - INFO: End of epoch 486 / 4238 	 Time Taken: 57.8666 sec
21-03-31 12:59:33.302 - INFO: End of epoch 487 / 4238 	 Time Taken: 51.6450 sec
21-03-31 13:00:09.675 - INFO: <epoch:488, iter:  57,200, lr:5.000e-05, t:85.5892s, td:0.0353s, eta:10527.4752h> pix-l1: 4.2167e-03 contextual: 3.8696e+00 l_g_gan: 1.2262e-01 ms-ssim: 8.6254e-02 l_d_real: 8.1971e-01 l_d_fake: 8.2066e-01 D_real: 1.6328e+00 D_fake: -6.4609e+00 
21-03-31 13:00:25.013 - INFO: End of epoch 488 / 4238 	 Time Taken: 51.7114 sec
21-03-31 13:01:16.630 - INFO: End of epoch 489 / 4238 	 Time Taken: 51.6164 sec
21-03-31 13:01:38.994 - INFO: <epoch:490, iter:  57,400, lr:5.000e-05, t:95.6938s, td:0.0352s, eta:11765.0172h> pix-l1: 2.1375e-03 contextual: 2.4849e+00 l_g_gan: 6.0807e-02 ms-ssim: 3.5120e-02 l_d_real: 8.1296e-01 l_d_fake: 8.0618e-01 D_real: -6.9727e+00 D_fake: -1.0977e+01 
21-03-31 13:02:08.252 - INFO: End of epoch 490 / 4238 	 Time Taken: 51.6220 sec
21-03-31 13:02:59.845 - INFO: End of epoch 491 / 4238 	 Time Taken: 51.5927 sec
21-03-31 13:03:08.285 - INFO: <epoch:492, iter:  57,600, lr:5.000e-05, t:89.3186s, td:0.0352s, eta:10976.2656h> pix-l1: 2.6826e-03 contextual: 3.0449e+00 l_g_gan: 2.7078e-02 ms-ssim: 5.6033e-02 l_d_real: 3.9571e+00 l_d_fake: 3.9307e+00 D_real: -5.3320e+00 D_fake: -7.8125e+00 
21-03-31 13:03:51.455 - INFO: End of epoch 492 / 4238 	 Time Taken: 51.6092 sec
21-03-31 13:04:33.858 - INFO: <epoch:493, iter:  57,800, lr:5.000e-05, t:89.2905s, td:0.0176s, eta:10967.8490h> pix-l1: 3.5598e-03 contextual: 4.8300e+00 l_g_gan: 8.5606e-02 ms-ssim: 7.4798e-02 l_d_real: 3.3748e+00 l_d_fake: 3.3549e+00 D_real: 7.6367e+00 D_fake: -9.6924e-01 
21-03-31 13:04:43.053 - INFO: End of epoch 493 / 4238 	 Time Taken: 51.5975 sec
21-03-31 13:05:34.722 - INFO: End of epoch 494 / 4238 	 Time Taken: 51.6696 sec
21-03-31 13:06:03.269 - INFO: <epoch:495, iter:  58,000, lr:5.000e-05, t:85.5734s, td:0.0352s, eta:10506.5102h> pix-l1: 3.9845e-03 contextual: 4.9135e+00 l_g_gan: 1.1031e-01 ms-ssim: 6.6031e-02 l_d_real: 7.2036e-01 l_d_fake: 7.1998e-01 D_real: 1.8859e+01 D_fake: 1.1594e+01 
21-03-31 13:06:03.854 - INFO: Models and training states saved.
21-03-31 13:06:09.511 - INFO: # Validation # PSNR: 30.251, SSIM: 0.81179, LPIPS: 0.055869
21-03-31 13:06:09.511 - INFO: <epoch:495, iter:  58,000> PSNR: 30.251, SSIM: 0.81179, LPIPS: 0.055869
21-03-31 13:06:32.590 - INFO: End of epoch 495 / 4238 	 Time Taken: 57.8674 sec
21-03-31 13:07:24.212 - INFO: End of epoch 496 / 4238 	 Time Taken: 51.6223 sec
21-03-31 13:07:38.801 - INFO: <epoch:497, iter:  58,200, lr:5.000e-05, t:89.4109s, td:0.0351s, eta:10972.7061h> pix-l1: 4.0296e-03 contextual: 4.0739e+00 l_g_gan: 6.0173e-02 ms-ssim: 8.5440e-02 l_d_real: 1.8283e+00 l_d_fake: 1.8460e+00 D_real: 8.7734e+00 D_fake: 3.4141e+00 
21-03-31 13:08:15.887 - INFO: End of epoch 497 / 4238 	 Time Taken: 51.6745 sec
21-03-31 13:09:04.457 - INFO: <epoch:498, iter:  58,400, lr:5.000e-05, t:95.5330s, td:0.0175s, eta:11718.7117h> pix-l1: 5.8188e-03 contextual: 4.6725e+00 l_g_gan: 1.2120e-01 ms-ssim: 1.0180e-01 l_d_real: 6.8668e-01 l_d_fake: 6.8643e-01 D_real: 2.8297e+01 D_fake: 2.0297e+01 
21-03-31 13:09:07.518 - INFO: End of epoch 498 / 4238 	 Time Taken: 51.6311 sec
21-03-31 13:09:59.156 - INFO: End of epoch 499 / 4238 	 Time Taken: 51.6378 sec
21-03-31 13:10:33.809 - INFO: <epoch:500, iter:  58,600, lr:5.000e-05, t:85.6550s, td:0.0351s, eta:10502.2489h> pix-l1: 2.0336e-03 contextual: 1.5522e+00 l_g_gan: 2.0839e-02 ms-ssim: 2.1749e-02 l_d_real: 3.0937e+00 l_d_fake: 3.0763e+00 D_real: -3.6656e+01 D_fake: -3.6562e+01 
21-03-31 13:10:50.813 - INFO: End of epoch 500 / 4238 	 Time Taken: 51.6569 sec
21-03-31 13:11:42.363 - INFO: End of epoch 501 / 4238 	 Time Taken: 51.5500 sec
21-03-31 13:12:03.081 - INFO: <epoch:502, iter:  58,800, lr:5.000e-05, t:89.3526s, td:0.0351s, eta:10950.6591h> pix-l1: 3.8958e-03 contextual: 3.3076e+00 l_g_gan: 6.8073e-02 ms-ssim: 8.2760e-02 l_d_real: 1.4457e+00 l_d_fake: 1.4480e+00 D_real: 8.1250e+00 D_fake: 2.9570e+00 
21-03-31 13:12:33.974 - INFO: End of epoch 502 / 4238 	 Time Taken: 51.6106 sec
21-03-31 13:13:25.589 - INFO: End of epoch 503 / 4238 	 Time Taken: 51.6149 sec
21-03-31 13:13:32.394 - INFO: <epoch:504, iter:  59,000, lr:5.000e-05, t:89.2712s, td:0.0352s, eta:10935.7275h> pix-l1: 3.9442e-03 contextual: 4.4990e+00 l_g_gan: 4.7889e-02 ms-ssim: 9.8915e-02 l_d_real: 8.5225e-01 l_d_fake: 8.6549e-01 D_real: 9.6562e+00 D_fake: 6.8945e+00 
21-03-31 13:13:33.007 - INFO: Models and training states saved.
21-03-31 13:13:38.661 - INFO: # Validation # PSNR: 30.355, SSIM: 0.80812, LPIPS: 0.054103
21-03-31 13:13:38.661 - INFO: <epoch:504, iter:  59,000> PSNR: 30.355, SSIM: 0.80812, LPIPS: 0.054103
21-03-31 13:14:23.382 - INFO: End of epoch 504 / 4238 	 Time Taken: 57.7932 sec
21-03-31 13:15:04.061 - INFO: <epoch:505, iter:  59,200, lr:5.000e-05, t:89.3138s, td:0.0177s, eta:10935.9733h> pix-l1: 3.6759e-03 contextual: 2.1527e+00 l_g_gan: 7.9390e-02 ms-ssim: 5.0181e-02 l_d_real: 3.8493e-01 l_d_fake: 3.8296e-01 D_real: 4.0430e+00 D_fake: -5.7471e-01 
21-03-31 13:15:14.917 - INFO: End of epoch 505 / 4238 	 Time Taken: 51.5347 sec
21-03-31 13:16:06.503 - INFO: End of epoch 506 / 4238 	 Time Taken: 51.5853 sec
21-03-31 13:16:33.400 - INFO: <epoch:507, iter:  59,400, lr:5.000e-05, t:91.6662s, td:0.0353s, eta:11218.9247h> pix-l1: 5.0284e-03 contextual: 3.2053e+00 l_g_gan: 1.0792e-01 ms-ssim: 6.8494e-02 l_d_real: 8.0441e-01 l_d_fake: 8.0479e-01 D_real: -1.2773e+00 D_fake: -7.7617e+00 
21-03-31 13:16:58.144 - INFO: End of epoch 507 / 4238 	 Time Taken: 51.6409 sec
21-03-31 13:17:49.760 - INFO: End of epoch 508 / 4238 	 Time Taken: 51.6167 sec
21-03-31 13:18:02.737 - INFO: <epoch:509, iter:  59,600, lr:5.000e-05, t:89.3394s, td:0.0352s, eta:10929.1869h> pix-l1: 2.5693e-03 contextual: 5.1929e+00 l_g_gan: 7.8787e-02 ms-ssim: 7.2352e-02 l_d_real: 6.1932e-01 l_d_fake: 6.1422e-01 D_real: 3.8633e+00 D_fake: -1.8682e+00 
21-03-31 13:18:41.519 - INFO: End of epoch 509 / 4238 	 Time Taken: 51.7590 sec
21-03-31 13:19:28.465 - INFO: <epoch:510, iter:  59,800, lr:5.000e-05, t:89.3377s, td:0.0176s, eta:10924.0131h> pix-l1: 4.4164e-03 contextual: 4.4983e+00 l_g_gan: 1.5405e-01 ms-ssim: 6.4793e-02 l_d_real: 7.7385e-01 l_d_fake: 7.8201e-01 D_real: 3.4512e+00 D_fake: -1.0148e+01 
21-03-31 13:19:33.163 - INFO: End of epoch 510 / 4238 	 Time Taken: 51.6430 sec
21-03-31 13:20:24.740 - INFO: End of epoch 511 / 4238 	 Time Taken: 51.5774 sec
21-03-31 13:20:57.795 - INFO: <epoch:512, iter:  60,000, lr:5.000e-05, t:85.7270s, td:0.0351s, eta:10477.7492h> pix-l1: 4.7805e-03 contextual: 3.9885e+00 l_g_gan: 1.2391e-01 ms-ssim: 8.3014e-02 l_d_real: 1.1435e+00 l_d_fake: 1.1401e+00 D_real: 4.0781e+00 D_fake: -2.8516e+00 
21-03-31 13:20:58.406 - INFO: Models and training states saved.
21-03-31 13:21:04.067 - INFO: # Validation # PSNR: 30.33, SSIM: 0.80474, LPIPS: 0.052861
21-03-31 13:21:04.067 - INFO: <epoch:512, iter:  60,000> PSNR: 30.33, SSIM: 0.80474, LPIPS: 0.052861
21-03-31 13:21:22.645 - INFO: End of epoch 512 / 4238 	 Time Taken: 57.9044 sec
21-03-31 13:22:14.130 - INFO: End of epoch 513 / 4238 	 Time Taken: 51.4852 sec
21-03-31 13:22:33.188 - INFO: <epoch:514, iter:  60,200, lr:5.000e-05, t:89.3310s, td:0.0352s, eta:10913.2687h> pix-l1: 3.4094e-03 contextual: 4.6006e+00 l_g_gan: 9.7855e-02 ms-ssim: 8.0724e-02 l_d_real: 6.9001e-01 l_d_fake: 6.8036e-01 D_real: 1.1133e+01 D_fake: 5.4141e+00 
21-03-31 13:23:05.658 - INFO: End of epoch 514 / 4238 	 Time Taken: 51.5273 sec
21-03-31 13:23:57.111 - INFO: End of epoch 515 / 4238 	 Time Taken: 51.4527 sec
21-03-31 13:24:02.276 - INFO: <epoch:516, iter:  60,400, lr:5.000e-05, t:95.3925s, td:0.0351s, eta:11648.4835h> pix-l1: 5.7628e-03 contextual: 4.1937e+00 l_g_gan: 8.4215e-02 ms-ssim: 9.7609e-02 l_d_real: 7.2739e-01 l_d_fake: 7.2957e-01 D_real: 1.3078e+01 D_fake: 6.3008e+00 
21-03-31 13:24:48.615 - INFO: End of epoch 516 / 4238 	 Time Taken: 51.5041 sec
21-03-31 13:25:27.806 - INFO: <epoch:517, iter:  60,600, lr:5.000e-05, t:89.0874s, td:0.0176s, eta:10873.6179h> pix-l1: 3.0718e-03 contextual: 3.0997e+00 l_g_gan: 4.8687e-02 ms-ssim: 5.7192e-02 l_d_real: 2.2658e+00 l_d_fake: 2.2613e+00 D_real: -5.9727e+00 D_fake: -1.0398e+01 
21-03-31 13:25:40.254 - INFO: End of epoch 517 / 4238 	 Time Taken: 51.6382 sec
21-03-31 13:26:31.802 - INFO: End of epoch 518 / 4238 	 Time Taken: 51.5485 sec
21-03-31 13:26:57.022 - INFO: <epoch:519, iter:  60,800, lr:5.000e-05, t:85.5304s, td:0.0351s, eta:10434.7132h> pix-l1: 1.8218e-03 contextual: 2.3790e+00 l_g_gan: 8.4374e-02 ms-ssim: 2.3233e-02 l_d_real: 1.8355e+00 l_d_fake: 1.9203e+00 D_real: -1.0875e+01 D_fake: -1.8938e+01 
21-03-31 13:27:23.397 - INFO: End of epoch 519 / 4238 	 Time Taken: 51.5951 sec
21-03-31 13:28:15.010 - INFO: End of epoch 520 / 4238 	 Time Taken: 51.6127 sec
21-03-31 13:28:26.331 - INFO: <epoch:521, iter:  61,000, lr:5.000e-05, t:89.2161s, td:0.0351s, eta:10879.4063h> pix-l1: 9.2231e-03 contextual: 5.2500e+00 l_g_gan: 1.0096e-01 ms-ssim: 1.4271e-01 l_d_real: 1.0785e+00 l_d_fake: 1.0785e+00 D_real: 2.1062e+01 D_fake: 1.5281e+01 
21-03-31 13:28:26.925 - INFO: Models and training states saved.
21-03-31 13:28:32.607 - INFO: # Validation # PSNR: 30.378, SSIM: 0.81258, LPIPS: 0.054307
21-03-31 13:28:32.607 - INFO: <epoch:521, iter:  61,000> PSNR: 30.378, SSIM: 0.81258, LPIPS: 0.054307
21-03-31 13:29:12.842 - INFO: End of epoch 521 / 4238 	 Time Taken: 57.8318 sec
21-03-31 13:29:58.036 - INFO: <epoch:522, iter:  61,200, lr:5.000e-05, t:89.3090s, td:0.0177s, eta:10885.7718h> pix-l1: 4.7534e-03 contextual: 4.9334e+00 l_g_gan: 1.6764e-01 ms-ssim: 8.0982e-02 l_d_real: 3.9276e-01 l_d_fake: 3.9593e-01 D_real: 2.9258e+00 D_fake: -6.5234e+00 
21-03-31 13:30:04.390 - INFO: End of epoch 522 / 4238 	 Time Taken: 51.5484 sec
21-03-31 13:30:55.896 - INFO: End of epoch 523 / 4238 	 Time Taken: 51.5044 sec
21-03-31 13:31:27.189 - INFO: <epoch:524, iter:  61,400, lr:5.000e-05, t:91.7055s, td:0.0351s, eta:11172.7895h> pix-l1: 4.4554e-03 contextual: 3.6737e+00 l_g_gan: 4.6603e-02 ms-ssim: 6.9694e-02 l_d_real: 4.0621e+00 l_d_fake: 4.0579e+00 D_real: 7.3320e+00 D_fake: 2.5176e+00 
21-03-31 13:31:47.390 - INFO: End of epoch 524 / 4238 	 Time Taken: 51.4948 sec
21-03-31 13:32:38.882 - INFO: End of epoch 525 / 4238 	 Time Taken: 51.4915 sec
21-03-31 13:32:56.302 - INFO: <epoch:526, iter:  61,600, lr:5.000e-05, t:89.1525s, td:0.0351s, eta:10856.7890h> pix-l1: 3.5255e-03 contextual: 4.2990e+00 l_g_gan: 1.6938e-01 ms-ssim: 5.9726e-02 l_d_real: 4.9515e-01 l_d_fake: 4.9638e-01 D_real: 9.2344e+00 D_fake: -4.8828e+00 
21-03-31 13:33:30.411 - INFO: End of epoch 526 / 4238 	 Time Taken: 51.5292 sec
21-03-31 13:34:21.721 - INFO: <epoch:527, iter:  61,800, lr:5.000e-05, t:89.1129s, td:0.0176s, eta:10847.0173h> pix-l1: 4.9696e-03 contextual: 5.0546e+00 l_g_gan: 9.8581e-02 ms-ssim: 8.8969e-02 l_d_real: 4.8670e-01 l_d_fake: 4.8823e-01 D_real: 1.3977e+01 D_fake: 7.4258e+00 
21-03-31 13:34:21.909 - INFO: End of epoch 527 / 4238 	 Time Taken: 51.4977 sec
21-03-31 13:35:13.466 - INFO: End of epoch 528 / 4238 	 Time Taken: 51.5565 sec
21-03-31 13:35:50.948 - INFO: <epoch:529, iter:  62,000, lr:5.000e-05, t:85.4190s, td:0.0352s, eta:10392.6417h> pix-l1: 3.1106e-03 contextual: 3.8300e+00 l_g_gan: 1.7580e-01 ms-ssim: 3.7682e-02 l_d_real: 5.9361e-01 l_d_fake: 5.9504e-01 D_real: -4.7314e-01 D_fake: -1.0562e+01 
21-03-31 13:35:51.597 - INFO: Models and training states saved.
21-03-31 13:35:57.244 - INFO: # Validation # PSNR: 30.465, SSIM: 0.80721, LPIPS: 0.051947
21-03-31 13:35:57.244 - INFO: <epoch:529, iter:  62,000> PSNR: 30.465, SSIM: 0.80721, LPIPS: 0.051947
21-03-31 13:36:11.368 - INFO: End of epoch 529 / 4238 	 Time Taken: 57.9024 sec
21-03-31 13:37:03.003 - INFO: End of epoch 530 / 4238 	 Time Taken: 51.6350 sec
21-03-31 13:37:26.581 - INFO: <epoch:531, iter:  62,200, lr:5.000e-05, t:89.2277s, td:0.0351s, eta:10851.0761h> pix-l1: 3.0342e-03 contextual: 2.9613e+00 l_g_gan: 9.7352e-02 ms-ssim: 5.4796e-02 l_d_real: 3.0289e-01 l_d_fake: 3.0460e-01 D_real: 6.8281e+00 D_fake: 7.7832e-01 
21-03-31 13:37:54.615 - INFO: End of epoch 531 / 4238 	 Time Taken: 51.6114 sec
21-03-31 13:38:46.273 - INFO: End of epoch 532 / 4238 	 Time Taken: 51.6573 sec
21-03-31 13:38:55.957 - INFO: <epoch:533, iter:  62,400, lr:5.000e-05, t:95.6332s, td:0.0352s, eta:11624.7472h> pix-l1: 2.7076e-03 contextual: 2.4389e+00 l_g_gan: 9.2383e-02 ms-ssim: 2.9898e-02 l_d_real: 6.0105e-01 l_d_fake: 6.0262e-01 D_real: -9.7031e+00 D_fake: -1.7016e+01 
21-03-31 13:39:37.917 - INFO: End of epoch 533 / 4238 	 Time Taken: 51.6445 sec
21-03-31 13:40:21.632 - INFO: <epoch:534, iter:  62,600, lr:5.000e-05, t:89.3755s, td:0.0176s, eta:10859.1186h> pix-l1: 4.4692e-03 contextual: 3.5810e+00 l_g_gan: 9.9793e-02 ms-ssim: 8.6001e-02 l_d_real: 9.4184e-01 l_d_fake: 9.5872e-01 D_real: 1.3766e+01 D_fake: 7.4023e+00 
21-03-31 13:40:29.605 - INFO: End of epoch 534 / 4238 	 Time Taken: 51.6872 sec
21-03-31 13:41:21.185 - INFO: End of epoch 535 / 4238 	 Time Taken: 51.5801 sec
21-03-31 13:41:50.929 - INFO: <epoch:536, iter:  62,800, lr:5.000e-05, t:85.6751s, td:0.0351s, eta:10404.7660h> pix-l1: 6.2494e-03 contextual: 4.0645e+00 l_g_gan: 7.9306e-02 ms-ssim: 7.5983e-02 l_d_real: 8.9919e-01 l_d_fake: 9.0370e-01 D_real: 8.3203e+00 D_fake: 2.8574e+00 
21-03-31 13:42:12.837 - INFO: End of epoch 536 / 4238 	 Time Taken: 51.6518 sec
21-03-31 13:43:04.455 - INFO: End of epoch 537 / 4238 	 Time Taken: 51.6181 sec
21-03-31 13:43:20.277 - INFO: <epoch:538, iter:  63,000, lr:5.000e-05, t:89.2964s, td:0.0352s, eta:10839.5864h> pix-l1: 2.7381e-03 contextual: 1.9402e+00 l_g_gan: 3.1488e-02 ms-ssim: 3.1029e-02 l_d_real: 1.9415e+00 l_d_fake: 1.9187e+00 D_real: -1.5375e+01 D_fake: -1.7484e+01 
21-03-31 13:43:20.874 - INFO: Models and training states saved.
21-03-31 13:43:26.563 - INFO: # Validation # PSNR: 29.513, SSIM: 0.80541, LPIPS: 0.054965
21-03-31 13:43:26.564 - INFO: <epoch:538, iter:  63,000> PSNR: 29.513, SSIM: 0.80541, LPIPS: 0.054965
21-03-31 13:44:02.405 - INFO: End of epoch 538 / 4238 	 Time Taken: 57.9492 sec
21-03-31 13:44:52.185 - INFO: <epoch:539, iter:  63,200, lr:5.000e-05, t:89.3479s, td:0.0176s, eta:10840.8834h> pix-l1: 2.6005e-03 contextual: 3.5406e+00 l_g_gan: 1.3207e-01 ms-ssim: 3.1348e-02 l_d_real: 5.5372e-01 l_d_fake: 5.4959e-01 D_real: 6.7480e-01 D_fake: -9.2422e+00 
21-03-31 13:44:54.033 - INFO: End of epoch 539 / 4238 	 Time Taken: 51.6279 sec
21-03-31 13:45:45.706 - INFO: End of epoch 540 / 4238 	 Time Taken: 51.6734 sec
21-03-31 13:46:21.597 - INFO: <epoch:541, iter:  63,400, lr:5.000e-05, t:91.9079s, td:0.0352s, eta:11146.3903h> pix-l1: 3.6974e-03 contextual: 2.9873e+00 l_g_gan: 1.2561e-01 ms-ssim: 7.4937e-02 l_d_real: 4.5948e-01 l_d_fake: 4.5977e-01 D_real: 4.8906e+00 D_fake: -3.8965e+00 
21-03-31 13:46:37.352 - INFO: End of epoch 541 / 4238 	 Time Taken: 51.6450 sec
21-03-31 13:47:28.984 - INFO: End of epoch 542 / 4238 	 Time Taken: 51.6327 sec
21-03-31 13:47:50.922 - INFO: <epoch:543, iter:  63,600, lr:5.000e-05, t:89.4126s, td:0.0354s, eta:10838.7999h> pix-l1: 3.6914e-03 contextual: 2.2522e+00 l_g_gan: 3.6092e-02 ms-ssim: 3.6909e-02 l_d_real: 2.3142e+00 l_d_fake: 2.3571e+00 D_real: -7.3438e+00 D_fake: -1.0203e+01 
21-03-31 13:48:20.582 - INFO: End of epoch 543 / 4238 	 Time Taken: 51.5982 sec
21-03-31 13:49:12.193 - INFO: End of epoch 544 / 4238 	 Time Taken: 51.6108 sec
21-03-31 13:49:20.217 - INFO: <epoch:545, iter:  63,800, lr:5.000e-05, t:89.3245s, td:0.0351s, eta:10823.1546h> pix-l1: 5.9479e-03 contextual: 3.0955e+00 l_g_gan: 2.2089e-01 ms-ssim: 1.5527e-01 l_d_real: 4.5065e-01 l_d_fake: 4.5215e-01 D_real: 2.3469e+01 D_fake: 4.4844e+00 
21-03-31 13:50:03.776 - INFO: End of epoch 545 / 4238 	 Time Taken: 51.5824 sec
21-03-31 13:50:45.823 - INFO: <epoch:546, iter:  64,000, lr:5.000e-05, t:89.2952s, td:0.0175s, eta:10814.6455h> pix-l1: 2.8606e-03 contextual: 2.8142e+00 l_g_gan: 1.4579e-02 ms-ssim: 5.1845e-02 l_d_real: 4.4044e+00 l_d_fake: 4.4305e+00 D_real: -1.1562e+01 D_fake: -1.1508e+01 
21-03-31 13:50:46.423 - INFO: Models and training states saved.
21-03-31 13:50:52.067 - INFO: # Validation # PSNR: 30.439, SSIM: 0.8101, LPIPS: 0.053447
21-03-31 13:50:52.067 - INFO: <epoch:546, iter:  64,000> PSNR: 30.439, SSIM: 0.8101, LPIPS: 0.053447
21-03-31 13:51:01.693 - INFO: End of epoch 546 / 4238 	 Time Taken: 57.9174 sec
21-03-31 13:51:53.293 - INFO: End of epoch 547 / 4238 	 Time Taken: 51.5999 sec
21-03-31 13:52:21.372 - INFO: <epoch:548, iter:  64,200, lr:5.000e-05, t:85.6057s, td:0.0351s, eta:10363.0483h> pix-l1: 5.2954e-03 contextual: 4.0255e+00 l_g_gan: 7.7391e-02 ms-ssim: 1.0885e-01 l_d_real: 9.8492e-01 l_d_fake: 9.8914e-01 D_real: 1.3500e+01 D_fake: 9.0156e+00 
21-03-31 13:52:44.887 - INFO: End of epoch 548 / 4238 	 Time Taken: 51.5928 sec
21-03-31 13:53:36.497 - INFO: End of epoch 549 / 4238 	 Time Taken: 51.6100 sec
21-03-31 13:53:50.683 - INFO: <epoch:550, iter:  64,400, lr:5.000e-05, t:95.5493s, td:0.0351s, eta:11561.4632h> pix-l1: 3.3687e-03 contextual: 3.3126e+00 l_g_gan: 1.0707e-01 ms-ssim: 4.4182e-02 l_d_real: 6.1628e-01 l_d_fake: 6.1303e-01 D_real: -5.2891e+00 D_fake: -1.3008e+01 
21-03-31 13:54:28.162 - INFO: End of epoch 550 / 4238 	 Time Taken: 51.6649 sec
21-03-31 13:55:16.172 - INFO: <epoch:551, iter:  64,600, lr:5.000e-05, t:89.3108s, td:0.0176s, eta:10801.6461h> pix-l1: 5.0355e-03 contextual: 4.9822e+00 l_g_gan: 1.2632e-01 ms-ssim: 1.0377e-01 l_d_real: 4.4971e-01 l_d_fake: 4.4954e-01 D_real: 1.9781e+01 D_fake: 1.2258e+01 
21-03-31 13:55:19.629 - INFO: End of epoch 551 / 4238 	 Time Taken: 51.4676 sec
21-03-31 13:56:11.182 - INFO: End of epoch 552 / 4238 	 Time Taken: 51.5519 sec
21-03-31 13:56:45.391 - INFO: <epoch:553, iter:  64,800, lr:5.000e-05, t:85.4895s, td:0.0351s, eta:10334.7262h> pix-l1: 2.7021e-03 contextual: 3.4347e+00 l_g_gan: 1.1835e-01 ms-ssim: 6.2723e-02 l_d_real: 8.4385e-01 l_d_fake: 8.3433e-01 D_real: -6.3242e+00 D_fake: -1.7203e+01 
21-03-31 13:57:02.778 - INFO: End of epoch 553 / 4238 	 Time Taken: 51.5961 sec
21-03-31 13:57:54.371 - INFO: End of epoch 554 / 4238 	 Time Taken: 51.5926 sec
21-03-31 13:58:14.662 - INFO: <epoch:555, iter:  65,000, lr:5.000e-05, t:89.2193s, td:0.0350s, eta:10780.6650h> pix-l1: 3.6656e-03 contextual: 5.2249e+00 l_g_gan: 1.7456e-01 ms-ssim: 7.9515e-02 l_d_real: 9.4350e-01 l_d_fake: 9.4225e-01 D_real: 6.6748e-01 D_fake: -8.7734e+00 
21-03-31 13:58:15.265 - INFO: Models and training states saved.
21-03-31 13:58:20.887 - INFO: # Validation # PSNR: 30.464, SSIM: 0.80741, LPIPS: 0.052841
21-03-31 13:58:20.888 - INFO: <epoch:555, iter:  65,000> PSNR: 30.464, SSIM: 0.80741, LPIPS: 0.052841
21-03-31 13:58:52.191 - INFO: End of epoch 555 / 4238 	 Time Taken: 57.8202 sec
21-03-31 13:59:43.717 - INFO: End of epoch 556 / 4238 	 Time Taken: 51.5259 sec
21-03-31 13:59:50.112 - INFO: <epoch:557, iter:  65,200, lr:5.000e-05, t:89.2706s, td:0.0352s, eta:10781.9044h> pix-l1: 7.0470e-04 contextual: 2.7396e+00 l_g_gan: 7.2036e-02 ms-ssim: 8.4589e-03 l_d_real: 7.0580e-01 l_d_fake: 7.0598e-01 D_real: -2.5891e+01 D_fake: -2.9109e+01 
21-03-31 14:00:35.378 - INFO: End of epoch 557 / 4238 	 Time Taken: 51.6613 sec
21-03-31 14:01:15.714 - INFO: <epoch:558, iter:  65,400, lr:5.000e-05, t:95.4500s, td:0.0176s, eta:11522.9378h> pix-l1: 3.9760e-03 contextual: 2.7054e+00 l_g_gan: 1.2653e-01 ms-ssim: 5.6867e-02 l_d_real: 7.8060e-01 l_d_fake: 7.7254e-01 D_real: -9.9922e+00 D_fake: -2.0969e+01 
21-03-31 14:01:26.969 - INFO: End of epoch 558 / 4238 	 Time Taken: 51.5904 sec
21-03-31 14:02:18.499 - INFO: End of epoch 559 / 4238 	 Time Taken: 51.5296 sec
21-03-31 14:02:44.931 - INFO: <epoch:560, iter:  65,600, lr:5.000e-05, t:85.6027s, td:0.0351s, eta:10329.3938h> pix-l1: 2.8335e-03 contextual: 2.7485e+00 l_g_gan: 9.6761e-02 ms-ssim: 5.6300e-02 l_d_real: 2.9164e+00 l_d_fake: 2.9135e+00 D_real: -2.1078e+01 D_fake: -3.0766e+01 
21-03-31 14:03:10.075 - INFO: End of epoch 560 / 4238 	 Time Taken: 51.5762 sec
21-03-31 14:04:01.668 - INFO: End of epoch 561 / 4238 	 Time Taken: 51.5927 sec
21-03-31 14:04:14.196 - INFO: <epoch:562, iter:  65,800, lr:5.000e-05, t:89.2158s, td:0.0351s, eta:10760.4117h> pix-l1: 6.0181e-03 contextual: 4.9269e+00 l_g_gan: 1.2074e-01 ms-ssim: 1.0865e-01 l_d_real: 1.0027e+00 l_d_fake: 1.0024e+00 D_real: 1.6406e+01 D_fake: 6.8164e+00 
21-03-31 14:04:53.265 - INFO: End of epoch 562 / 4238 	 Time Taken: 51.5962 sec
21-03-31 14:05:39.753 - INFO: <epoch:563, iter:  66,000, lr:5.000e-05, t:89.2649s, td:0.0176s, eta:10761.3841h> pix-l1: 2.5579e-03 contextual: 2.0455e+00 l_g_gan: 6.4169e-02 ms-ssim: 3.2213e-02 l_d_real: 2.8940e+00 l_d_fake: 2.8913e+00 D_real: -2.2125e+01 D_fake: -2.8312e+01 
21-03-31 14:05:40.386 - INFO: Models and training states saved.
21-03-31 14:05:46.037 - INFO: # Validation # PSNR: 30.117, SSIM: 0.80115, LPIPS: 0.052863
21-03-31 14:05:46.037 - INFO: <epoch:563, iter:  66,000> PSNR: 30.117, SSIM: 0.80115, LPIPS: 0.052863
21-03-31 14:05:51.135 - INFO: End of epoch 563 / 4238 	 Time Taken: 57.8700 sec
21-03-31 14:06:42.671 - INFO: End of epoch 564 / 4238 	 Time Taken: 51.5365 sec
21-03-31 14:07:15.287 - INFO: <epoch:565, iter:  66,200, lr:5.000e-05, t:85.5576s, td:0.0352s, eta:10309.6881h> pix-l1: 3.9741e-03 contextual: 4.7253e+00 l_g_gan: 1.7223e-01 ms-ssim: 8.1835e-02 l_d_real: 1.2176e+00 l_d_fake: 1.2187e+00 D_real: 1.2258e+01 D_fake: -1.1660e+00 
21-03-31 14:07:34.308 - INFO: End of epoch 565 / 4238 	 Time Taken: 51.6357 sec
21-03-31 14:08:25.895 - INFO: End of epoch 566 / 4238 	 Time Taken: 51.5871 sec
21-03-31 14:08:44.511 - INFO: <epoch:567, iter:  66,400, lr:5.000e-05, t:95.5344s, td:0.0351s, eta:11506.5839h> pix-l1: 6.9365e-03 contextual: 4.1863e+00 l_g_gan: 1.4026e-01 ms-ssim: 9.9513e-02 l_d_real: 4.4198e-01 l_d_fake: 4.3786e-01 D_real: 1.8516e+01 D_fake: 7.0625e+00 
21-03-31 14:09:17.448 - INFO: End of epoch 567 / 4238 	 Time Taken: 51.5521 sec
21-03-31 14:10:08.990 - INFO: End of epoch 568 / 4238 	 Time Taken: 51.5414 sec
21-03-31 14:10:13.746 - INFO: <epoch:569, iter:  66,600, lr:5.000e-05, t:89.2237s, td:0.0350s, eta:10741.5438h> pix-l1: 4.1324e-03 contextual: 3.1588e+00 l_g_gan: 5.4123e-02 ms-ssim: 6.9538e-02 l_d_real: 1.6702e+00 l_d_fake: 1.6804e+00 D_real: 1.9092e+00 D_fake: -2.7910e+00 
21-03-31 14:11:00.600 - INFO: End of epoch 569 / 4238 	 Time Taken: 51.6107 sec
21-03-31 14:11:39.370 - INFO: <epoch:570, iter:  66,800, lr:5.000e-05, t:89.2346s, td:0.0176s, eta:10737.8932h> pix-l1: 6.1922e-03 contextual: 3.8673e+00 l_g_gan: 1.1082e-01 ms-ssim: 1.0607e-01 l_d_real: 9.4481e-01 l_d_fake: 9.4605e-01 D_real: 1.4258e+01 D_fake: 8.7344e+00 
21-03-31 14:11:52.264 - INFO: End of epoch 570 / 4238 	 Time Taken: 51.6633 sec
21-03-31 14:12:43.835 - INFO: End of epoch 571 / 4238 	 Time Taken: 51.5719 sec
21-03-31 14:13:08.621 - INFO: <epoch:572, iter:  67,000, lr:5.000e-05, t:85.6240s, td:0.0351s, eta:10298.6647h> pix-l1: 3.2829e-03 contextual: 2.7828e+00 l_g_gan: 1.0878e-01 ms-ssim: 4.0846e-02 l_d_real: 4.7819e-01 l_d_fake: 4.7865e-01 D_real: -5.9727e+00 D_fake: -1.3273e+01 
21-03-31 14:13:09.216 - INFO: Models and training states saved.
21-03-31 14:13:14.850 - INFO: # Validation # PSNR: 30.332, SSIM: 0.80651, LPIPS: 0.05408
21-03-31 14:13:14.850 - INFO: <epoch:572, iter:  67,000> PSNR: 30.332, SSIM: 0.80651, LPIPS: 0.05408
21-03-31 14:13:41.685 - INFO: End of epoch 572 / 4238 	 Time Taken: 57.8492 sec
21-03-31 14:14:33.268 - INFO: End of epoch 573 / 4238 	 Time Taken: 51.5831 sec
21-03-31 14:14:44.161 - INFO: <epoch:574, iter:  67,200, lr:5.000e-05, t:89.2511s, td:0.0351s, eta:10729.9660h> pix-l1: 3.5311e-03 contextual: 2.9868e+00 l_g_gan: 1.4592e-01 ms-ssim: 6.5634e-02 l_d_real: 2.3945e-01 l_d_fake: 2.3752e-01 D_real: -5.4639e-01 D_fake: -1.0836e+01 
21-03-31 14:15:24.885 - INFO: End of epoch 574 / 4238 	 Time Taken: 51.6172 sec
21-03-31 14:16:09.778 - INFO: <epoch:575, iter:  67,400, lr:5.000e-05, t:95.5397s, td:0.0176s, eta:11480.6927h> pix-l1: 3.1659e-03 contextual: 3.8948e+00 l_g_gan: 6.6095e-02 ms-ssim: 7.3930e-02 l_d_real: 7.6180e-01 l_d_fake: 7.5812e-01 D_real: -4.8555e+00 D_fake: -9.2344e+00 
21-03-31 14:16:16.516 - INFO: End of epoch 575 / 4238 	 Time Taken: 51.6297 sec
21-03-31 14:17:08.116 - INFO: End of epoch 576 / 4238 	 Time Taken: 51.6007 sec
21-03-31 14:17:39.074 - INFO: <epoch:577, iter:  67,600, lr:5.000e-05, t:85.6174s, td:0.0351s, eta:10283.5999h> pix-l1: 4.0207e-03 contextual: 4.0538e+00 l_g_gan: 1.2491e-01 ms-ssim: 5.6361e-02 l_d_real: 4.5660e-01 l_d_fake: 4.5829e-01 D_real: -4.3750e+00 D_fake: -1.0258e+01 
21-03-31 14:17:59.755 - INFO: End of epoch 577 / 4238 	 Time Taken: 51.6383 sec
21-03-31 14:18:51.296 - INFO: End of epoch 578 / 4238 	 Time Taken: 51.5407 sec
21-03-31 14:19:08.319 - INFO: <epoch:579, iter:  67,800, lr:5.000e-05, t:89.2968s, td:0.0350s, eta:10720.5825h> pix-l1: 4.9264e-03 contextual: 4.4551e+00 l_g_gan: 8.6136e-02 ms-ssim: 6.8827e-02 l_d_real: 6.1549e-01 l_d_fake: 5.9000e-01 D_real: 2.4422e+01 D_fake: 1.8766e+01 
21-03-31 14:19:42.901 - INFO: End of epoch 579 / 4238 	 Time Taken: 51.6051 sec
21-03-31 14:20:33.874 - INFO: <epoch:580, iter:  68,000, lr:5.000e-05, t:89.2443s, td:0.0176s, eta:10709.3151h> pix-l1: 3.0158e-03 contextual: 2.8936e+00 l_g_gan: 8.2519e-02 ms-ssim: 4.8034e-02 l_d_real: 9.3052e-01 l_d_fake: 9.2859e-01 D_real: -8.8516e+00 D_fake: -1.5492e+01 
21-03-31 14:20:34.476 - INFO: Models and training states saved.
21-03-31 14:20:40.110 - INFO: # Validation # PSNR: 30.493, SSIM: 0.80794, LPIPS: 0.053755
21-03-31 14:20:40.110 - INFO: <epoch:580, iter:  68,000> PSNR: 30.493, SSIM: 0.80794, LPIPS: 0.053755
21-03-31 14:20:40.720 - INFO: End of epoch 580 / 4238 	 Time Taken: 57.8190 sec
21-03-31 14:21:32.362 - INFO: End of epoch 581 / 4238 	 Time Taken: 51.6418 sec
21-03-31 14:22:09.433 - INFO: <epoch:582, iter:  68,200, lr:5.000e-05, t:85.5548s, td:0.0352s, eta:10261.8212h> pix-l1: 4.4739e-03 contextual: 4.7191e+00 l_g_gan: 1.3768e-01 ms-ssim: 1.0241e-01 l_d_real: 7.3575e-01 l_d_fake: 7.3595e-01 D_real: 1.0961e+01 D_fake: 2.1055e+00 
21-03-31 14:22:23.949 - INFO: End of epoch 582 / 4238 	 Time Taken: 51.5865 sec
21-03-31 14:23:15.542 - INFO: End of epoch 583 / 4238 	 Time Taken: 51.5924 sec
21-03-31 14:23:38.714 - INFO: <epoch:584, iter:  68,400, lr:5.000e-05, t:95.5588s, td:0.0351s, eta:11456.4378h> pix-l1: 5.6661e-03 contextual: 3.9345e+00 l_g_gan: 1.1817e-01 ms-ssim: 8.2679e-02 l_d_real: 7.9690e-01 l_d_fake: 8.0168e-01 D_real: 1.3742e+01 D_fake: 3.9082e+00 
21-03-31 14:24:07.137 - INFO: End of epoch 584 / 4238 	 Time Taken: 51.5949 sec
21-03-31 14:24:58.720 - INFO: End of epoch 585 / 4238 	 Time Taken: 51.5832 sec
21-03-31 14:25:07.966 - INFO: <epoch:586, iter:  68,600, lr:5.000e-05, t:89.2814s, td:0.0351s, eta:10698.8937h> pix-l1: 2.1946e-03 contextual: 2.3756e+00 l_g_gan: 6.6038e-02 ms-ssim: 3.7125e-02 l_d_real: 7.4824e-01 l_d_fake: 7.5129e-01 D_real: 2.5049e-01 D_fake: -4.5430e+00 
21-03-31 14:25:50.193 - INFO: End of epoch 586 / 4238 	 Time Taken: 51.4726 sec
21-03-31 14:26:33.363 - INFO: <epoch:587, iter:  68,800, lr:5.000e-05, t:89.2516s, td:0.0176s, eta:10690.3553h> pix-l1: 5.2121e-03 contextual: 4.3158e+00 l_g_gan: 1.9584e-01 ms-ssim: 9.4820e-02 l_d_real: 5.0026e-01 l_d_fake: 5.0263e-01 D_real: 1.2094e+01 D_fake: -1.1406e+00 
21-03-31 14:26:41.727 - INFO: End of epoch 587 / 4238 	 Time Taken: 51.5342 sec
21-03-31 14:27:33.219 - INFO: End of epoch 588 / 4238 	 Time Taken: 51.4912 sec
21-03-31 14:28:02.459 - INFO: <epoch:589, iter:  69,000, lr:5.000e-05, t:85.3974s, td:0.0350s, eta:10223.9671h> pix-l1: 2.0228e-03 contextual: 2.5596e+00 l_g_gan: 5.9659e-02 ms-ssim: 3.3199e-02 l_d_real: 9.9302e-01 l_d_fake: 9.9413e-01 D_real: -9.8203e+00 D_fake: -1.4422e+01 
21-03-31 14:28:03.065 - INFO: Models and training states saved.
21-03-31 14:28:08.731 - INFO: # Validation # PSNR: 30.544, SSIM: 0.81189, LPIPS: 0.054231
21-03-31 14:28:08.731 - INFO: <epoch:589, iter:  69,000> PSNR: 30.544, SSIM: 0.81189, LPIPS: 0.054231
21-03-31 14:28:31.008 - INFO: End of epoch 589 / 4238 	 Time Taken: 57.7894 sec
21-03-31 14:29:22.543 - INFO: End of epoch 590 / 4238 	 Time Taken: 51.5343 sec
21-03-31 14:29:37.931 - INFO: <epoch:591, iter:  69,200, lr:5.000e-05, t:89.0959s, td:0.0352s, eta:10661.8036h> pix-l1: 3.6307e-03 contextual: 3.4955e+00 l_g_gan: 1.3546e-01 ms-ssim: 6.9457e-02 l_d_real: 6.7520e-01 l_d_fake: 6.7733e-01 D_real: 1.1414e+01 D_fake: 1.3369e+00 
21-03-31 14:30:14.077 - INFO: End of epoch 591 / 4238 	 Time Taken: 51.5339 sec
21-03-31 14:31:03.338 - INFO: <epoch:592, iter:  69,400, lr:5.000e-05, t:95.4716s, td:0.0176s, eta:11419.4624h> pix-l1: 6.0874e-03 contextual: 4.4725e+00 l_g_gan: 7.0940e-02 ms-ssim: 9.9052e-02 l_d_real: 8.6441e-01 l_d_fake: 8.4655e-01 D_real: 1.5914e+01 D_fake: 1.0711e+01 
21-03-31 14:31:05.613 - INFO: End of epoch 592 / 4238 	 Time Taken: 51.5366 sec
21-03-31 14:31:57.075 - INFO: End of epoch 593 / 4238 	 Time Taken: 51.4619 sec
21-03-31 14:32:32.426 - INFO: <epoch:594, iter:  69,600, lr:5.000e-05, t:85.4073s, td:0.0351s, eta:10210.9128h> pix-l1: 3.5951e-03 contextual: 4.9457e+00 l_g_gan: 1.1419e-01 ms-ssim: 8.8311e-02 l_d_real: 6.6361e-01 l_d_fake: 6.5903e-01 D_real: 1.5711e+01 D_fake: 6.5312e+00 
21-03-31 14:32:48.537 - INFO: End of epoch 594 / 4238 	 Time Taken: 51.4615 sec
21-03-31 14:33:40.036 - INFO: End of epoch 595 / 4238 	 Time Taken: 51.4991 sec
21-03-31 14:34:01.538 - INFO: <epoch:596, iter:  69,800, lr:5.000e-05, t:89.0883s, td:0.0352s, eta:10646.0494h> pix-l1: 1.6603e-03 contextual: 3.2580e+00 l_g_gan: 4.3837e-02 ms-ssim: 3.7001e-02 l_d_real: 1.3394e+00 l_d_fake: 1.3554e+00 D_real: -6.7695e+00 D_fake: -9.7109e+00 
21-03-31 14:34:31.553 - INFO: End of epoch 596 / 4238 	 Time Taken: 51.5163 sec
21-03-31 14:35:23.050 - INFO: End of epoch 597 / 4238 	 Time Taken: 51.4967 sec
21-03-31 14:35:30.653 - INFO: <epoch:598, iter:  70,000, lr:5.000e-05, t:89.1120s, td:0.0350s, eta:10643.9343h> pix-l1: 3.8429e-03 contextual: 4.5854e+00 l_g_gan: 8.2953e-02 ms-ssim: 7.8769e-02 l_d_real: 7.5246e-01 l_d_fake: 7.4938e-01 D_real: 4.0312e+00 D_fake: -2.7480e+00 
21-03-31 14:35:31.239 - INFO: Models and training states saved.
21-03-31 14:35:36.891 - INFO: # Validation # PSNR: 30.556, SSIM: 0.80949, LPIPS: 0.054761
21-03-31 14:35:36.891 - INFO: <epoch:598, iter:  70,000> PSNR: 30.556, SSIM: 0.80949, LPIPS: 0.054761
21-03-31 14:36:20.906 - INFO: End of epoch 598 / 4238 	 Time Taken: 57.8563 sec
21-03-31 14:37:02.532 - INFO: <epoch:599, iter:  70,200, lr:5.000e-05, t:89.1150s, td:0.0175s, eta:10639.3397h> pix-l1: 5.1874e-03 contextual: 5.2013e+00 l_g_gan: 1.5398e-01 ms-ssim: 1.2268e-01 l_d_real: 1.0086e+00 l_d_fake: 1.0042e+00 D_real: 2.6562e+01 D_fake: 1.4602e+01 
21-03-31 14:37:12.541 - INFO: End of epoch 599 / 4238 	 Time Taken: 51.6349 sec
21-03-31 14:38:04.156 - INFO: End of epoch 600 / 4238 	 Time Taken: 51.6149 sec
21-03-31 14:38:31.841 - INFO: <epoch:601, iter:  70,400, lr:5.000e-05, t:91.8789s, td:0.0351s, eta:10964.2159h> pix-l1: 3.4355e-03 contextual: 2.9487e+00 l_g_gan: 1.1085e-01 ms-ssim: 4.2904e-02 l_d_real: 3.0348e-01 l_d_fake: 2.8879e-01 D_real: 4.4023e+00 D_fake: -2.7207e+00 
21-03-31 14:38:55.765 - INFO: End of epoch 601 / 4238 	 Time Taken: 51.6091 sec
21-03-31 14:39:47.353 - INFO: End of epoch 602 / 4238 	 Time Taken: 51.5875 sec
21-03-31 14:40:01.117 - INFO: <epoch:603, iter:  70,600, lr:5.000e-05, t:89.3096s, td:0.0352s, eta:10652.6458h> pix-l1: 5.1494e-03 contextual: 3.2873e+00 l_g_gan: 1.3544e-01 ms-ssim: 6.6867e-02 l_d_real: 3.0041e-01 l_d_fake: 3.0468e-01 D_real: 1.1898e+01 D_fake: 1.3252e+00 
21-03-31 14:40:38.931 - INFO: End of epoch 603 / 4238 	 Time Taken: 51.5781 sec
21-03-31 14:41:26.648 - INFO: <epoch:604, iter:  70,800, lr:5.000e-05, t:89.2751s, td:0.0176s, eta:10643.5754h> pix-l1: 4.3289e-03 contextual: 4.5851e+00 l_g_gan: 5.5562e-02 ms-ssim: 9.6592e-02 l_d_real: 1.9572e+00 l_d_fake: 1.9480e+00 D_real: 1.5049e+00 D_fake: -3.3418e+00 
21-03-31 14:41:30.521 - INFO: End of epoch 604 / 4238 	 Time Taken: 51.5904 sec
21-03-31 14:42:22.167 - INFO: End of epoch 605 / 4238 	 Time Taken: 51.6452 sec
21-03-31 14:42:55.949 - INFO: <epoch:606, iter:  71,000, lr:5.000e-05, t:85.5309s, td:0.0352s, eta:10192.4362h> pix-l1: 3.9618e-03 contextual: 3.8639e+00 l_g_gan: 9.1760e-02 ms-ssim: 7.4048e-02 l_d_real: 7.5484e-01 l_d_fake: 7.6877e-01 D_real: 1.7500e+01 D_fake: 1.1242e+01 
21-03-31 14:42:56.526 - INFO: Models and training states saved.
21-03-31 14:43:02.184 - INFO: # Validation # PSNR: 30.558, SSIM: 0.81417, LPIPS: 0.054147
21-03-31 14:43:02.184 - INFO: <epoch:606, iter:  71,000> PSNR: 30.558, SSIM: 0.81417, LPIPS: 0.054147
21-03-31 14:43:20.004 - INFO: End of epoch 606 / 4238 	 Time Taken: 57.8369 sec
21-03-31 14:44:11.597 - INFO: End of epoch 607 / 4238 	 Time Taken: 51.5931 sec
21-03-31 14:44:31.504 - INFO: <epoch:608, iter:  71,200, lr:5.000e-05, t:89.3011s, td:0.0352s, eta:10636.7492h> pix-l1: 4.5143e-03 contextual: 3.6688e+00 l_g_gan: 8.0502e-02 ms-ssim: 7.7753e-02 l_d_real: 4.3688e-01 l_d_fake: 4.3575e-01 D_real: 1.8344e+01 D_fake: 1.2844e+01 
21-03-31 14:45:03.189 - INFO: End of epoch 608 / 4238 	 Time Taken: 51.5925 sec
21-03-31 14:45:54.795 - INFO: End of epoch 609 / 4238 	 Time Taken: 51.6046 sec
21-03-31 14:46:00.786 - INFO: <epoch:610, iter:  71,400, lr:5.000e-05, t:95.5549s, td:0.0352s, eta:11376.3379h> pix-l1: 2.5649e-03 contextual: 1.6550e+00 l_g_gan: 6.3240e-02 ms-ssim: 2.9882e-02 l_d_real: 9.8896e-01 l_d_fake: 9.8060e-01 D_real: -1.5137e+00 D_fake: -6.2773e+00 
21-03-31 14:46:46.434 - INFO: End of epoch 610 / 4238 	 Time Taken: 51.6397 sec
21-03-31 14:47:26.482 - INFO: <epoch:611, iter:  71,600, lr:5.000e-05, t:89.2832s, td:0.0177s, eta:10624.7022h> pix-l1: 2.6091e-03 contextual: 2.5784e+00 l_g_gan: 9.8223e-02 ms-ssim: 3.5302e-02 l_d_real: 3.4339e-01 l_d_fake: 3.4614e-01 D_real: -7.8945e+00 D_fake: -1.4188e+01 
21-03-31 14:47:38.152 - INFO: End of epoch 611 / 4238 	 Time Taken: 51.7182 sec
21-03-31 14:48:29.733 - INFO: End of epoch 612 / 4238 	 Time Taken: 51.5799 sec
21-03-31 14:48:55.781 - INFO: <epoch:613, iter:  71,800, lr:5.000e-05, t:85.6951s, td:0.0351s, eta:10192.9607h> pix-l1: 5.9968e-03 contextual: 4.4857e+00 l_g_gan: 1.4037e-01 ms-ssim: 9.9357e-02 l_d_real: 6.7384e-01 l_d_fake: 6.7348e-01 D_real: 2.1094e+01 D_fake: 1.2438e+01 
21-03-31 14:49:21.318 - INFO: End of epoch 613 / 4238 	 Time Taken: 51.5847 sec
21-03-31 14:50:12.923 - INFO: End of epoch 614 / 4238 	 Time Taken: 51.6050 sec
21-03-31 14:50:25.054 - INFO: <epoch:615, iter:  72,000, lr:5.000e-05, t:89.2990s, td:0.0351s, eta:10616.6586h> pix-l1: 1.3775e-03 contextual: 2.4663e+00 l_g_gan: 8.0288e-02 ms-ssim: 1.7953e-02 l_d_real: 6.9008e-01 l_d_fake: 6.9086e-01 D_real: -8.7578e+00 D_fake: -1.4898e+01 
21-03-31 14:50:25.675 - INFO: Models and training states saved.
21-03-31 14:50:31.330 - INFO: # Validation # PSNR: 29.929, SSIM: 0.80623, LPIPS: 0.052649
21-03-31 14:50:31.330 - INFO: <epoch:615, iter:  72,000> PSNR: 29.929, SSIM: 0.80623, LPIPS: 0.052649
21-03-31 14:51:10.834 - INFO: End of epoch 615 / 4238 	 Time Taken: 57.9117 sec
21-03-31 14:51:56.966 - INFO: <epoch:616, iter:  72,200, lr:5.000e-05, t:89.2728s, td:0.0177s, eta:10608.5903h> pix-l1: 4.0638e-03 contextual: 3.8779e+00 l_g_gan: 6.8798e-02 ms-ssim: 9.3321e-02 l_d_real: 7.3124e-01 l_d_fake: 6.4680e-01 D_real: 1.1906e+01 D_fake: 7.9805e+00 
21-03-31 14:52:02.481 - INFO: End of epoch 616 / 4238 	 Time Taken: 51.6468 sec
21-03-31 14:52:54.042 - INFO: End of epoch 617 / 4238 	 Time Taken: 51.5607 sec
21-03-31 14:53:26.211 - INFO: <epoch:618, iter:  72,400, lr:5.000e-05, t:91.9122s, td:0.0351s, eta:10917.1253h> pix-l1: 4.8743e-03 contextual: 4.1115e+00 l_g_gan: 1.1748e-01 ms-ssim: 8.5307e-02 l_d_real: 3.2112e-01 l_d_fake: 3.1393e-01 D_real: 1.1531e+01 D_fake: 2.9141e+00 
21-03-31 14:53:45.653 - INFO: End of epoch 618 / 4238 	 Time Taken: 51.6113 sec
21-03-31 14:54:37.265 - INFO: End of epoch 619 / 4238 	 Time Taken: 51.6117 sec
21-03-31 14:54:55.544 - INFO: <epoch:620, iter:  72,600, lr:5.000e-05, t:89.2450s, td:0.0351s, eta:10595.3646h> pix-l1: 4.2377e-03 contextual: 3.8774e+00 l_g_gan: 1.3593e-01 ms-ssim: 6.3555e-02 l_d_real: 1.7956e+00 l_d_fake: 1.8033e+00 D_real: 5.2109e+00 D_fake: -8.7500e+00 
21-03-31 14:55:28.895 - INFO: End of epoch 620 / 4238 	 Time Taken: 51.6287 sec
21-03-31 14:56:20.486 - INFO: End of epoch 621 / 4238 	 Time Taken: 51.5909 sec
21-03-31 14:56:24.854 - INFO: <epoch:622, iter:  72,800, lr:5.000e-05, t:89.3332s, td:0.0352s, eta:10600.8681h> pix-l1: 4.0803e-03 contextual: 2.9503e+00 l_g_gan: 9.4850e-02 ms-ssim: 4.2876e-02 l_d_real: 6.3078e-01 l_d_fake: 6.2985e-01 D_real: -1.5166e+00 D_fake: -8.3984e+00 
21-03-31 14:57:12.153 - INFO: End of epoch 622 / 4238 	 Time Taken: 51.6675 sec
21-03-31 14:57:50.459 - INFO: <epoch:623, iter:  73,000, lr:5.000e-05, t:89.3102s, td:0.0176s, eta:10593.1773h> pix-l1: 5.7202e-03 contextual: 4.6603e+00 l_g_gan: 7.6869e-02 ms-ssim: 1.1492e-01 l_d_real: 5.7720e-01 l_d_fake: 5.7587e-01 D_real: 1.5523e+01 D_fake: 1.1273e+01 
21-03-31 14:57:51.055 - INFO: Models and training states saved.
21-03-31 14:57:56.705 - INFO: # Validation # PSNR: 30.096, SSIM: 0.80708, LPIPS: 0.055214
21-03-31 14:57:56.705 - INFO: <epoch:623, iter:  73,000> PSNR: 30.096, SSIM: 0.80708, LPIPS: 0.055214
21-03-31 14:58:10.019 - INFO: End of epoch 623 / 4238 	 Time Taken: 57.8657 sec
21-03-31 14:59:01.615 - INFO: End of epoch 624 / 4238 	 Time Taken: 51.5962 sec
21-03-31 14:59:26.041 - INFO: <epoch:625, iter:  73,200, lr:5.000e-05, t:85.6048s, td:0.0352s, eta:10148.9237h> pix-l1: 3.8781e-03 contextual: 3.3547e+00 l_g_gan: 7.7726e-02 ms-ssim: 6.0076e-02 l_d_real: 5.6165e-01 l_d_fake: 5.6326e-01 D_real: -1.8633e+00 D_fake: -6.9766e+00 
21-03-31 14:59:53.224 - INFO: End of epoch 625 / 4238 	 Time Taken: 51.6082 sec
21-03-31 15:00:44.793 - INFO: End of epoch 626 / 4238 	 Time Taken: 51.5697 sec
21-03-31 15:00:55.270 - INFO: <epoch:627, iter:  73,400, lr:5.000e-05, t:95.5818s, td:0.0350s, eta:11326.4465h> pix-l1: 2.6874e-03 contextual: 4.1000e+00 l_g_gan: 1.0123e-01 ms-ssim: 6.0942e-02 l_d_real: 2.1977e-01 l_d_fake: 2.1812e-01 D_real: -4.8320e+00 D_fake: -1.1367e+01 
21-03-31 15:01:36.379 - INFO: End of epoch 627 / 4238 	 Time Taken: 51.5855 sec
21-03-31 15:02:20.850 - INFO: <epoch:628, iter:  73,600, lr:5.000e-05, t:89.2291s, td:0.0176s, eta:10568.6874h> pix-l1: 4.4708e-03 contextual: 4.3458e+00 l_g_gan: 1.5353e-01 ms-ssim: 9.5561e-02 l_d_real: 5.2740e-01 l_d_fake: 5.2835e-01 D_real: 2.2109e+01 D_fake: 1.2445e+01 
21-03-31 15:02:28.015 - INFO: End of epoch 628 / 4238 	 Time Taken: 51.6358 sec
21-03-31 15:03:19.509 - INFO: End of epoch 629 / 4238 	 Time Taken: 51.4940 sec
21-03-31 15:03:49.990 - INFO: <epoch:630, iter:  73,800, lr:5.000e-05, t:85.5799s, td:0.0351s, eta:10131.7085h> pix-l1: 4.8327e-03 contextual: 3.2982e+00 l_g_gan: 5.8459e-02 ms-ssim: 6.5166e-02 l_d_real: 5.9893e-01 l_d_fake: 6.0600e-01 D_real: 4.4023e+00 D_fake: 1.3486e+00 
21-03-31 15:04:11.012 - INFO: End of epoch 630 / 4238 	 Time Taken: 51.5025 sec
21-03-31 15:05:02.508 - INFO: End of epoch 631 / 4238 	 Time Taken: 51.4962 sec
21-03-31 15:05:19.118 - INFO: <epoch:632, iter:  74,000, lr:5.000e-05, t:89.1403s, td:0.0351s, eta:10548.2645h> pix-l1: 4.1269e-03 contextual: 4.1367e+00 l_g_gan: 8.3723e-02 ms-ssim: 6.0533e-02 l_d_real: 5.3930e-01 l_d_fake: 5.4169e-01 D_real: -5.0273e+00 D_fake: -1.0344e+01 
21-03-31 15:05:19.725 - INFO: Models and training states saved.
21-03-31 15:05:25.376 - INFO: # Validation # PSNR: 30.327, SSIM: 0.80689, LPIPS: 0.050405
21-03-31 15:05:25.376 - INFO: <epoch:632, iter:  74,000> PSNR: 30.327, SSIM: 0.80689, LPIPS: 0.050405
21-03-31 15:06:00.297 - INFO: End of epoch 632 / 4238 	 Time Taken: 57.7887 sec
21-03-31 15:06:50.848 - INFO: <epoch:633, iter:  74,200, lr:5.000e-05, t:89.1276s, td:0.0176s, eta:10541.8089h> pix-l1: 2.8405e-03 contextual: 3.9611e+00 l_g_gan: 1.8664e-01 ms-ssim: 6.4007e-02 l_d_real: 7.0996e-01 l_d_fake: 7.1024e-01 D_real: -1.8691e+00 D_fake: -1.4539e+01 
21-03-31 15:06:51.861 - INFO: End of epoch 633 / 4238 	 Time Taken: 51.5635 sec
21-03-31 15:07:43.388 - INFO: End of epoch 634 / 4238 	 Time Taken: 51.5268 sec
21-03-31 15:08:20.015 - INFO: <epoch:635, iter:  74,400, lr:5.000e-05, t:91.7303s, td:0.0351s, eta:10844.5577h> pix-l1: 4.8250e-03 contextual: 3.9117e+00 l_g_gan: 5.0919e-02 ms-ssim: 7.8458e-02 l_d_real: 9.8714e-01 l_d_fake: 9.9086e-01 D_real: 7.7852e+00 D_fake: 5.3516e+00 
21-03-31 15:08:34.928 - INFO: End of epoch 635 / 4238 	 Time Taken: 51.5400 sec
21-03-31 15:09:26.430 - INFO: End of epoch 636 / 4238 	 Time Taken: 51.5022 sec
21-03-31 15:09:49.176 - INFO: <epoch:637, iter:  74,600, lr:5.000e-05, t:89.1674s, td:0.0352s, eta:10536.6174h> pix-l1: 3.9983e-03 contextual: 4.3560e+00 l_g_gan: 1.1956e-01 ms-ssim: 5.7157e-02 l_d_real: 3.7646e-01 l_d_fake: 3.7984e-01 D_real: 4.7031e+00 D_fake: -3.5898e+00 
21-03-31 15:10:17.930 - INFO: End of epoch 637 / 4238 	 Time Taken: 51.4990 sec
21-03-31 15:11:09.465 - INFO: End of epoch 638 / 4238 	 Time Taken: 51.5351 sec
21-03-31 15:11:18.305 - INFO: <epoch:639, iter:  74,800, lr:5.000e-05, t:89.1604s, td:0.0351s, eta:10530.8327h> pix-l1: 4.5193e-03 contextual: 4.9850e+00 l_g_gan: 8.7048e-02 ms-ssim: 1.1529e-01 l_d_real: 5.1596e-01 l_d_fake: 5.1782e-01 D_real: 1.9031e+01 D_fake: 1.3773e+01 
21-03-31 15:12:00.956 - INFO: End of epoch 639 / 4238 	 Time Taken: 51.4908 sec
21-03-31 15:12:43.735 - INFO: <epoch:640, iter:  75,000, lr:5.000e-05, t:89.1297s, td:0.0176s, eta:10522.2556h> pix-l1: 3.8930e-03 contextual: 4.4184e+00 l_g_gan: 1.1879e-02 ms-ssim: 1.0128e-01 l_d_real: 3.8614e+00 l_d_fake: 3.8719e+00 D_real: 9.3516e+00 D_fake: 1.0859e+01 
21-03-31 15:12:44.338 - INFO: Models and training states saved.
21-03-31 15:12:50.010 - INFO: # Validation # PSNR: 29.642, SSIM: 0.79988, LPIPS: 0.051744
21-03-31 15:12:50.010 - INFO: <epoch:640, iter:  75,000> PSNR: 29.642, SSIM: 0.79988, LPIPS: 0.051744
21-03-31 15:12:58.790 - INFO: End of epoch 640 / 4238 	 Time Taken: 57.8332 sec
21-03-31 15:13:50.354 - INFO: End of epoch 641 / 4238 	 Time Taken: 51.5638 sec
21-03-31 15:14:19.221 - INFO: <epoch:642, iter:  75,200, lr:5.000e-05, t:85.4304s, td:0.0352s, eta:10080.7912h> pix-l1: 2.6842e-03 contextual: 4.5877e+00 l_g_gan: 1.3905e-01 ms-ssim: 4.8710e-02 l_d_real: 4.7898e-01 l_d_fake: 4.7859e-01 D_real: 1.0938e+00 D_fake: -8.5781e+00 
21-03-31 15:14:41.877 - INFO: End of epoch 642 / 4238 	 Time Taken: 51.5230 sec
21-03-31 15:15:33.375 - INFO: End of epoch 643 / 4238 	 Time Taken: 51.4982 sec
21-03-31 15:15:48.362 - INFO: <epoch:644, iter:  75,400, lr:5.000e-05, t:95.4855s, td:0.0352s, eta:11261.9854h> pix-l1: 6.3049e-03 contextual: 4.4087e+00 l_g_gan: 6.3828e-02 ms-ssim: 1.3260e-01 l_d_real: 1.8947e+00 l_d_fake: 1.9151e+00 D_real: 3.1391e+01 D_fake: 2.5578e+01 
21-03-31 15:16:24.920 - INFO: End of epoch 644 / 4238 	 Time Taken: 51.5449 sec
21-03-31 15:17:13.870 - INFO: <epoch:645, iter:  75,600, lr:5.000e-05, t:89.1406s, td:0.0176s, eta:10508.6909h> pix-l1: 2.3506e-03 contextual: 3.1847e+00 l_g_gan: 6.1864e-02 ms-ssim: 2.7000e-02 l_d_real: 8.3696e-01 l_d_fake: 8.5023e-01 D_real: -7.1250e+00 D_fake: -1.1531e+01 
21-03-31 15:17:16.522 - INFO: End of epoch 645 / 4238 	 Time Taken: 51.6017 sec
21-03-31 15:18:08.051 - INFO: End of epoch 646 / 4238 	 Time Taken: 51.5283 sec
21-03-31 15:18:43.067 - INFO: <epoch:647, iter:  75,800, lr:5.000e-05, t:85.5083s, td:0.0351s, eta:10075.7300h> pix-l1: 5.1819e-03 contextual: 3.8214e+00 l_g_gan: 1.2923e-01 ms-ssim: 9.2597e-02 l_d_real: 9.8758e-01 l_d_fake: 9.8973e-01 D_real: 1.6375e+01 D_fake: 4.4570e+00 
21-03-31 15:18:59.605 - INFO: End of epoch 647 / 4238 	 Time Taken: 51.5546 sec
21-03-31 15:19:51.094 - INFO: End of epoch 648 / 4238 	 Time Taken: 51.4888 sec
21-03-31 15:20:12.162 - INFO: <epoch:649, iter:  76,000, lr:5.000e-05, t:89.1970s, td:0.0351s, eta:10505.4226h> pix-l1: 3.7476e-03 contextual: 3.5337e+00 l_g_gan: 1.3159e-01 ms-ssim: 7.1953e-02 l_d_real: 6.2180e-01 l_d_fake: 6.2414e-01 D_real: 1.1891e+01 D_fake: 4.7148e+00 
21-03-31 15:20:12.757 - INFO: Models and training states saved.
21-03-31 15:20:18.373 - INFO: # Validation # PSNR: 30.625, SSIM: 0.81223, LPIPS: 0.054603
21-03-31 15:20:18.373 - INFO: <epoch:649, iter:  76,000> PSNR: 30.625, SSIM: 0.81223, LPIPS: 0.054603
21-03-31 15:20:48.784 - INFO: End of epoch 649 / 4238 	 Time Taken: 57.6902 sec
21-03-31 15:21:40.297 - INFO: End of epoch 650 / 4238 	 Time Taken: 51.5131 sec
21-03-31 15:21:47.505 - INFO: <epoch:651, iter:  76,200, lr:5.000e-05, t:89.0942s, td:0.0352s, eta:10488.3639h> pix-l1: 2.3029e-03 contextual: 3.6259e+00 l_g_gan: 6.7422e-02 ms-ssim: 5.2007e-02 l_d_real: 1.2766e+00 l_d_fake: 1.2668e+00 D_real: -1.3887e+00 D_fake: -7.1562e+00 
21-03-31 15:22:31.862 - INFO: End of epoch 651 / 4238 	 Time Taken: 51.5646 sec
21-03-31 15:23:12.975 - INFO: <epoch:652, iter:  76,400, lr:5.000e-05, t:95.3432s, td:0.0176s, eta:11218.7121h> pix-l1: 4.7493e-03 contextual: 3.0690e+00 l_g_gan: 7.7254e-02 ms-ssim: 6.0331e-02 l_d_real: 7.5058e-01 l_d_fake: 7.5790e-01 D_real: 7.2900e-01 D_fake: -2.8164e+00 
21-03-31 15:23:23.389 - INFO: End of epoch 652 / 4238 	 Time Taken: 51.5265 sec
21-03-31 15:24:14.890 - INFO: End of epoch 653 / 4238 	 Time Taken: 51.5012 sec
21-03-31 15:24:42.126 - INFO: <epoch:654, iter:  76,600, lr:5.000e-05, t:85.4710s, td:0.0351s, eta:10052.3433h> pix-l1: 5.6707e-03 contextual: 4.8833e+00 l_g_gan: 8.2259e-02 ms-ssim: 1.0364e-01 l_d_real: 9.6520e-01 l_d_fake: 9.6130e-01 D_real: 1.3336e+01 D_fake: 7.5703e+00 
21-03-31 15:25:06.432 - INFO: End of epoch 654 / 4238 	 Time Taken: 51.5410 sec
21-03-31 15:25:57.944 - INFO: End of epoch 655 / 4238 	 Time Taken: 51.5120 sec
21-03-31 15:26:11.288 - INFO: <epoch:656, iter:  76,800, lr:5.000e-05, t:89.1503s, td:0.0352s, eta:10480.1151h> pix-l1: 3.6069e-03 contextual: 3.3569e+00 l_g_gan: 6.6688e-02 ms-ssim: 1.1323e-01 l_d_real: 7.8561e-01 l_d_fake: 8.6630e-01 D_real: -2.3301e+00 D_fake: -3.7578e+00 
21-03-31 15:26:49.438 - INFO: End of epoch 656 / 4238 	 Time Taken: 51.4944 sec
21-03-31 15:27:36.691 - INFO: <epoch:657, iter:  77,000, lr:5.000e-05, t:89.1616s, td:0.0176s, eta:10476.4853h> pix-l1: 2.6328e-03 contextual: 2.3647e+00 l_g_gan: 5.2355e-02 ms-ssim: 4.7735e-02 l_d_real: 1.0358e+00 l_d_fake: 1.0301e+00 D_real: 3.5273e+00 D_fake: -1.5259e-01 
21-03-31 15:27:37.291 - INFO: Models and training states saved.
21-03-31 15:27:42.986 - INFO: # Validation # PSNR: 30.405, SSIM: 0.80892, LPIPS: 0.052749
21-03-31 15:27:42.986 - INFO: <epoch:657, iter:  77,000> PSNR: 30.405, SSIM: 0.80892, LPIPS: 0.052749
21-03-31 15:27:47.272 - INFO: End of epoch 657 / 4238 	 Time Taken: 57.8342 sec
21-03-31 15:28:38.758 - INFO: End of epoch 658 / 4238 	 Time Taken: 51.4858 sec
21-03-31 15:29:12.108 - INFO: <epoch:659, iter:  77,200, lr:5.000e-05, t:85.4034s, td:0.0352s, eta:10030.1584h> pix-l1: 3.3993e-03 contextual: 2.5235e+00 l_g_gan: 1.0333e-01 ms-ssim: 4.1770e-02 l_d_real: 7.1952e-01 l_d_fake: 7.1457e-01 D_real: -1.1273e+01 D_fake: -1.8688e+01 
21-03-31 15:29:30.256 - INFO: End of epoch 659 / 4238 	 Time Taken: 51.4973 sec
21-03-31 15:30:21.766 - INFO: End of epoch 660 / 4238 	 Time Taken: 51.5097 sec
21-03-31 15:30:41.232 - INFO: <epoch:661, iter:  77,400, lr:5.000e-05, t:95.4169s, td:0.0351s, eta:11200.8847h> pix-l1: 4.6696e-03 contextual: 4.4052e+00 l_g_gan: 5.0645e-02 ms-ssim: 9.0743e-02 l_d_real: 1.6652e+00 l_d_fake: 1.6733e+00 D_real: 1.2234e+01 D_fake: 8.9297e+00 
21-03-31 15:31:13.285 - INFO: End of epoch 661 / 4238 	 Time Taken: 51.5186 sec
21-03-31 15:32:04.845 - INFO: End of epoch 662 / 4238 	 Time Taken: 51.5599 sec
21-03-31 15:32:10.436 - INFO: <epoch:663, iter:  77,600, lr:5.000e-05, t:89.1245s, td:0.0352s, eta:10457.2716h> pix-l1: 4.6551e-03 contextual: 3.4803e+00 l_g_gan: 8.2333e-02 ms-ssim: 9.2660e-02 l_d_real: 8.7985e-01 l_d_fake: 8.8396e-01 D_real: 3.2930e+00 D_fake: -3.5742e+00 
21-03-31 15:32:56.405 - INFO: End of epoch 663 / 4238 	 Time Taken: 51.5596 sec
21-03-31 15:33:35.920 - INFO: <epoch:664, iter:  77,800, lr:5.000e-05, t:89.2040s, td:0.0176s, eta:10461.6427h> pix-l1: 4.9911e-03 contextual: 4.4328e+00 l_g_gan: 1.3524e-01 ms-ssim: 9.5521e-02 l_d_real: 7.4525e-01 l_d_fake: 7.4614e-01 D_real: 2.4094e+01 D_fake: 1.3016e+01 
21-03-31 15:33:47.968 - INFO: End of epoch 664 / 4238 	 Time Taken: 51.5626 sec
21-03-31 15:34:39.490 - INFO: End of epoch 665 / 4238 	 Time Taken: 51.5218 sec
21-03-31 15:35:05.089 - INFO: <epoch:666, iter:  78,000, lr:5.000e-05, t:85.4831s, td:0.0352s, eta:10020.5178h> pix-l1: 2.1619e-03 contextual: 1.5081e+00 l_g_gan: 1.9432e-02 ms-ssim: 3.2157e-02 l_d_real: 3.5436e+00 l_d_fake: 3.5969e+00 D_real: -2.9062e+01 D_fake: -2.9031e+01 
21-03-31 15:35:05.682 - INFO: Models and training states saved.
21-03-31 15:35:11.343 - INFO: # Validation # PSNR: 30.639, SSIM: 0.8152, LPIPS: 0.057939
21-03-31 15:35:11.343 - INFO: <epoch:666, iter:  78,000> PSNR: 30.639, SSIM: 0.8152, LPIPS: 0.057939
21-03-31 15:35:37.306 - INFO: End of epoch 666 / 4238 	 Time Taken: 57.8160 sec
21-03-31 15:36:28.827 - INFO: End of epoch 667 / 4238 	 Time Taken: 51.5213 sec
21-03-31 15:36:40.528 - INFO: <epoch:668, iter:  78,200, lr:5.000e-05, t:89.1693s, td:0.0351s, eta:10447.6658h> pix-l1: 1.3480e-03 contextual: 2.2975e+00 l_g_gan: 6.9408e-02 ms-ssim: 3.1831e-02 l_d_real: 6.8048e-01 l_d_fake: 6.8305e-01 D_real: 1.1156e+01 D_fake: 6.5781e+00 
21-03-31 15:37:20.412 - INFO: End of epoch 668 / 4238 	 Time Taken: 51.5842 sec
21-03-31 15:38:05.967 - INFO: <epoch:669, iter:  78,400, lr:5.000e-05, t:95.4390s, td:0.0175s, eta:11176.9651h> pix-l1: 5.8657e-03 contextual: 4.7669e+00 l_g_gan: 1.1720e-01 ms-ssim: 1.0815e-01 l_d_real: 6.2309e-01 l_d_fake: 6.2410e-01 D_real: 2.0594e+01 D_fake: 1.2531e+01 
21-03-31 15:38:11.877 - INFO: End of epoch 669 / 4238 	 Time Taken: 51.4659 sec
21-03-31 15:39:03.399 - INFO: End of epoch 670 / 4238 	 Time Taken: 51.5218 sec
21-03-31 15:39:35.131 - INFO: <epoch:671, iter:  78,600, lr:5.000e-05, t:85.4400s, td:0.0352s, eta:10001.2231h> pix-l1: 5.8060e-03 contextual: 4.0523e+00 l_g_gan: 8.3621e-02 ms-ssim: 9.5276e-02 l_d_real: 1.0285e+00 l_d_fake: 1.0099e+00 D_real: -1.9316e+00 D_fake: -6.8672e+00 
21-03-31 15:39:54.931 - INFO: End of epoch 671 / 4238 	 Time Taken: 51.5318 sec
21-03-31 15:40:46.434 - INFO: End of epoch 672 / 4238 	 Time Taken: 51.5034 sec
21-03-31 15:41:04.257 - INFO: <epoch:673, iter:  78,800, lr:5.000e-05, t:89.1636s, td:0.0351s, eta:10432.1392h> pix-l1: 2.5818e-03 contextual: 2.8653e+00 l_g_gan: 7.0494e-02 ms-ssim: 4.6657e-02 l_d_real: 8.5518e-01 l_d_fake: 8.5124e-01 D_real: -9.6875e+00 D_fake: -1.3320e+01 
21-03-31 15:41:37.932 - INFO: End of epoch 673 / 4238 	 Time Taken: 51.4971 sec
21-03-31 15:42:29.430 - INFO: End of epoch 674 / 4238 	 Time Taken: 51.4976 sec
21-03-31 15:42:33.375 - INFO: <epoch:675, iter:  79,000, lr:5.000e-05, t:89.1259s, td:0.0351s, eta:10422.7835h> pix-l1: 7.0466e-03 contextual: 2.9406e+00 l_g_gan: 3.0697e-02 ms-ssim: 7.1815e-02 l_d_real: 4.2907e+00 l_d_fake: 4.2873e+00 D_real: 2.7988e+00 D_fake: 2.5244e-01 
21-03-31 15:42:34.011 - INFO: Models and training states saved.
21-03-31 15:42:39.715 - INFO: # Validation # PSNR: 30.206, SSIM: 0.79995, LPIPS: 0.05335
21-03-31 15:42:39.715 - INFO: <epoch:675, iter:  79,000> PSNR: 30.206, SSIM: 0.79995, LPIPS: 0.05335
21-03-31 15:43:27.320 - INFO: End of epoch 675 / 4238 	 Time Taken: 57.8905 sec
21-03-31 15:44:05.186 - INFO: <epoch:676, iter:  79,200, lr:5.000e-05, t:89.1176s, td:0.0177s, eta:10416.8583h> pix-l1: 6.1600e-03 contextual: 4.5353e+00 l_g_gan: 1.1624e-01 ms-ssim: 9.2307e-02 l_d_real: 8.2342e-01 l_d_fake: 8.2280e-01 D_real: 5.1328e+00 D_fake: -1.8730e+00 
21-03-31 15:44:18.857 - INFO: End of epoch 676 / 4238 	 Time Taken: 51.5361 sec
21-03-31 15:45:10.364 - INFO: End of epoch 677 / 4238 	 Time Taken: 51.5067 sec
21-03-31 15:45:34.332 - INFO: <epoch:678, iter:  79,400, lr:5.000e-05, t:91.8113s, td:0.0351s, eta:10726.6249h> pix-l1: 2.1728e-03 contextual: 1.7965e+00 l_g_gan: 5.6900e-02 ms-ssim: 4.3465e-02 l_d_real: 1.7801e+00 l_d_fake: 1.7753e+00 D_real: -8.9141e+00 D_fake: -1.4008e+01 
21-03-31 15:46:01.900 - INFO: End of epoch 678 / 4238 	 Time Taken: 51.5354 sec
21-03-31 15:46:53.420 - INFO: End of epoch 679 / 4238 	 Time Taken: 51.5199 sec
21-03-31 15:47:03.535 - INFO: <epoch:680, iter:  79,600, lr:5.000e-05, t:89.1460s, td:0.0353s, eta:10410.2695h> pix-l1: 3.5575e-03 contextual: 3.2919e+00 l_g_gan: 1.2255e-01 ms-ssim: 5.9125e-02 l_d_real: 3.8403e-01 l_d_fake: 3.8034e-01 D_real: 1.0367e+01 D_fake: 1.1602e+00 
21-03-31 15:47:45.040 - INFO: End of epoch 680 / 4238 	 Time Taken: 51.6199 sec
21-03-31 15:48:29.002 - INFO: <epoch:681, iter:  79,800, lr:5.000e-05, t:89.2032s, td:0.0176s, eta:10411.9930h> pix-l1: 4.5883e-03 contextual: 3.1646e+00 l_g_gan: 7.7783e-02 ms-ssim: 6.8116e-02 l_d_real: 9.1626e-01 l_d_fake: 9.2569e-01 D_real: 1.0375e+01 D_fake: 3.9277e+00 
21-03-31 15:48:36.554 - INFO: End of epoch 681 / 4238 	 Time Taken: 51.5147 sec
21-03-31 15:49:28.079 - INFO: End of epoch 682 / 4238 	 Time Taken: 51.5244 sec
21-03-31 15:49:58.176 - INFO: <epoch:683, iter:  80,000, lr:5.000e-05, t:85.4668s, td:0.0352s, eta:9971.1264h> pix-l1: 4.0903e-03 contextual: 3.0517e+00 l_g_gan: 1.0584e-01 ms-ssim: 8.3594e-02 l_d_real: 2.9498e-01 l_d_fake: 2.8978e-01 D_real: 2.0703e+00 D_fake: -4.4492e+00 
21-03-31 15:49:58.771 - INFO: Models and training states saved.
21-03-31 15:50:04.433 - INFO: # Validation # PSNR: 30.491, SSIM: 0.81591, LPIPS: 0.057293
21-03-31 15:50:04.434 - INFO: <epoch:683, iter:  80,000> PSNR: 30.491, SSIM: 0.81591, LPIPS: 0.057293
21-03-31 15:50:25.870 - INFO: End of epoch 683 / 4238 	 Time Taken: 57.7908 sec
21-03-31 15:51:17.390 - INFO: End of epoch 684 / 4238 	 Time Taken: 51.5204 sec
21-03-31 15:51:33.591 - INFO: <epoch:685, iter:  80,200, lr:5.000e-05, t:89.1742s, td:0.0351s, eta:10398.7076h> pix-l1: 5.3387e-03 contextual: 5.6158e+00 l_g_gan: 3.7650e-02 ms-ssim: 1.4370e-01 l_d_real: 1.8401e+00 l_d_fake: 1.8059e+00 D_real: 2.9531e+01 D_fake: 2.7188e+01 
21-03-31 15:52:08.930 - INFO: End of epoch 685 / 4238 	 Time Taken: 51.5394 sec
21-03-31 15:52:59.072 - INFO: <epoch:686, iter:  80,400, lr:5.000e-05, t:95.4150s, td:0.0176s, eta:11121.1425h> pix-l1: 3.2206e-03 contextual: 3.7587e+00 l_g_gan: 9.3078e-02 ms-ssim: 4.9317e-02 l_d_real: 1.0235e+00 l_d_fake: 1.0166e+00 D_real: 8.0156e+00 D_fake: 1.2524e-01 
21-03-31 15:53:00.491 - INFO: End of epoch 686 / 4238 	 Time Taken: 51.5604 sec
21-03-31 15:53:52.063 - INFO: End of epoch 687 / 4238 	 Time Taken: 51.5721 sec
21-03-31 15:54:28.348 - INFO: <epoch:688, iter:  80,600, lr:5.000e-05, t:85.4804s, td:0.0354s, eta:9958.4663h> pix-l1: 3.5555e-03 contextual: 3.1847e+00 l_g_gan: 1.1892e-01 ms-ssim: 7.2192e-02 l_d_real: 6.2042e-01 l_d_fake: 6.3500e-01 D_real: 6.3789e+00 D_fake: -2.5449e+00 
21-03-31 15:54:43.676 - INFO: End of epoch 688 / 4238 	 Time Taken: 51.6133 sec
21-03-31 15:55:35.187 - INFO: End of epoch 689 / 4238 	 Time Taken: 51.5108 sec
21-03-31 15:55:57.504 - INFO: <epoch:690, iter:  80,800, lr:5.000e-05, t:89.2770s, td:0.0352s, eta:10395.8075h> pix-l1: 2.8398e-03 contextual: 2.3421e+00 l_g_gan: 8.1009e-02 ms-ssim: 4.6613e-02 l_d_real: 8.3230e-01 l_d_fake: 8.2855e-01 D_real: -1.1742e+01 D_fake: -1.8422e+01 
21-03-31 15:56:26.679 - INFO: End of epoch 690 / 4238 	 Time Taken: 51.4917 sec
21-03-31 15:57:18.199 - INFO: End of epoch 691 / 4238 	 Time Taken: 51.5198 sec
21-03-31 15:57:26.647 - INFO: <epoch:692, iter:  81,000, lr:5.000e-05, t:89.1549s, td:0.0351s, eta:10376.6409h> pix-l1: 8.7466e-03 contextual: 4.5470e+00 l_g_gan: 1.9483e-01 ms-ssim: 1.1960e-01 l_d_real: 4.3313e-01 l_d_fake: 4.3696e-01 D_real: 2.2391e+01 D_fake: 9.5547e+00 
21-03-31 15:57:27.249 - INFO: Models and training states saved.
21-03-31 15:57:32.935 - INFO: # Validation # PSNR: 30.289, SSIM: 0.80397, LPIPS: 0.056085
21-03-31 15:57:32.935 - INFO: <epoch:692, iter:  81,000> PSNR: 30.289, SSIM: 0.80397, LPIPS: 0.056085
21-03-31 15:58:16.063 - INFO: End of epoch 692 / 4238 	 Time Taken: 57.8632 sec
21-03-31 15:58:58.421 - INFO: <epoch:693, iter:  81,200, lr:5.000e-05, t:89.1432s, td:0.0177s, eta:10370.3275h> pix-l1: 2.3407e-03 contextual: 3.6275e+00 l_g_gan: 1.5979e-02 ms-ssim: 4.2814e-02 l_d_real: 3.0964e+00 l_d_fake: 3.0587e+00 D_real: -1.1648e+01 D_fake: -1.1242e+01 
21-03-31 15:59:07.604 - INFO: End of epoch 693 / 4238 	 Time Taken: 51.5409 sec
21-03-31 15:59:59.151 - INFO: End of epoch 694 / 4238 	 Time Taken: 51.5466 sec
21-03-31 16:00:27.604 - INFO: <epoch:695, iter:  81,400, lr:5.000e-05, t:91.7745s, td:0.0351s, eta:10671.3341h> pix-l1: 2.8644e-03 contextual: 2.4321e+00 l_g_gan: 7.2682e-02 ms-ssim: 5.6239e-02 l_d_real: 8.6707e-01 l_d_fake: 8.5933e-01 D_real: 4.9688e+00 D_fake: 6.5820e-01 
21-03-31 16:00:50.694 - INFO: End of epoch 695 / 4238 	 Time Taken: 51.5436 sec
21-03-31 16:01:42.232 - INFO: End of epoch 696 / 4238 	 Time Taken: 51.5370 sec
21-03-31 16:01:56.802 - INFO: <epoch:697, iter:  81,600, lr:5.000e-05, t:89.1822s, td:0.0352s, eta:10364.9571h> pix-l1: 3.7549e-03 contextual: 3.3958e+00 l_g_gan: 9.0959e-02 ms-ssim: 7.3403e-02 l_d_real: 1.0868e+00 l_d_fake: 1.0838e+00 D_real: 1.9092e-01 D_fake: -6.2227e+00 
21-03-31 16:02:33.779 - INFO: End of epoch 697 / 4238 	 Time Taken: 51.5471 sec
21-03-31 16:03:22.277 - INFO: <epoch:698, iter:  81,800, lr:5.000e-05, t:89.1982s, td:0.0177s, eta:10361.8626h> pix-l1: 2.7916e-03 contextual: 2.7722e+00 l_g_gan: 4.0474e-02 ms-ssim: 6.4913e-02 l_d_real: 1.1361e+00 l_d_fake: 1.1588e+00 D_real: -5.6953e+00 D_fake: -7.7227e+00 
21-03-31 16:03:25.330 - INFO: End of epoch 698 / 4238 	 Time Taken: 51.5503 sec
21-03-31 16:04:16.796 - INFO: End of epoch 699 / 4238 	 Time Taken: 51.4668 sec
21-03-31 16:04:51.372 - INFO: <epoch:700, iter:  82,000, lr:5.000e-05, t:85.4752s, td:0.0351s, eta:9924.6218h> pix-l1: 5.1799e-03 contextual: 3.2553e+00 l_g_gan: 5.4406e-02 ms-ssim: 6.5224e-02 l_d_real: 1.3215e+00 l_d_fake: 1.2907e+00 D_real: 2.7871e+00 D_fake: -3.8550e-01 
21-03-31 16:04:51.958 - INFO: Models and training states saved.
21-03-31 16:04:57.642 - INFO: # Validation # PSNR: 30.295, SSIM: 0.80534, LPIPS: 0.052417
21-03-31 16:04:57.642 - INFO: <epoch:700, iter:  82,000> PSNR: 30.295, SSIM: 0.80534, LPIPS: 0.052417
21-03-31 16:05:14.592 - INFO: End of epoch 700 / 4238 	 Time Taken: 57.7945 sec
21-03-31 16:06:06.160 - INFO: End of epoch 701 / 4238 	 Time Taken: 51.5677 sec
21-03-31 16:06:26.854 - INFO: <epoch:702, iter:  82,200, lr:5.000e-05, t:89.0947s, td:0.0352s, eta:10339.9330h> pix-l1: 3.5463e-03 contextual: 2.8514e+00 l_g_gan: 1.0494e-01 ms-ssim: 7.2673e-02 l_d_real: 8.6777e-01 l_d_fake: 8.5555e-01 D_real: -3.9043e+00 D_fake: -1.1828e+01 
21-03-31 16:06:57.740 - INFO: End of epoch 702 / 4238 	 Time Taken: 51.5808 sec
21-03-31 16:07:49.287 - INFO: End of epoch 703 / 4238 	 Time Taken: 51.5463 sec
21-03-31 16:07:56.098 - INFO: <epoch:704, iter:  82,400, lr:5.000e-05, t:95.4823s, td:0.0352s, eta:11075.9419h> pix-l1: 3.1005e-03 contextual: 2.5233e+00 l_g_gan: 1.4653e-01 ms-ssim: 5.0672e-02 l_d_real: 3.6808e-01 l_d_fake: 3.6820e-01 D_real: 3.8599e-01 D_fake: -1.1164e+01 
21-03-31 16:08:40.866 - INFO: End of epoch 704 / 4238 	 Time Taken: 51.5791 sec
21-03-31 16:09:21.554 - INFO: <epoch:705, iter:  82,600, lr:5.000e-05, t:89.2440s, td:0.0176s, eta:10347.3438h> pix-l1: 3.8073e-03 contextual: 2.9572e+00 l_g_gan: 3.4750e-02 ms-ssim: 6.2504e-02 l_d_real: 1.9191e+00 l_d_fake: 1.9107e+00 D_real: -9.3799e-01 D_fake: -3.3457e+00 
21-03-31 16:09:32.352 - INFO: End of epoch 705 / 4238 	 Time Taken: 51.4857 sec
21-03-31 16:10:23.842 - INFO: End of epoch 706 / 4238 	 Time Taken: 51.4888 sec
21-03-31 16:10:50.639 - INFO: <epoch:707, iter:  82,800, lr:5.000e-05, t:85.4555s, td:0.0351s, eta:9903.3461h> pix-l1: 4.7082e-03 contextual: 5.3097e+00 l_g_gan: 1.7599e-01 ms-ssim: 1.0293e-01 l_d_real: 1.1447e+00 l_d_fake: 1.1462e+00 D_real: 1.3594e+01 D_fake: 2.0273e+00 
21-03-31 16:11:15.328 - INFO: End of epoch 707 / 4238 	 Time Taken: 51.4859 sec
21-03-31 16:12:06.797 - INFO: End of epoch 708 / 4238 	 Time Taken: 51.4693 sec
21-03-31 16:12:19.725 - INFO: <epoch:709, iter:  83,000, lr:5.000e-05, t:89.0858s, td:0.0351s, eta:10319.1074h> pix-l1: 3.9454e-03 contextual: 3.9781e+00 l_g_gan: 1.5897e-01 ms-ssim: 9.1499e-02 l_d_real: 2.4000e-01 l_d_fake: 2.4094e-01 D_real: 1.5008e+01 D_fake: 2.9414e+00 
21-03-31 16:12:20.315 - INFO: Models and training states saved.
21-03-31 16:12:26.035 - INFO: # Validation # PSNR: 30.316, SSIM: 0.8041, LPIPS: 0.052835
21-03-31 16:12:26.035 - INFO: <epoch:709, iter:  83,000> PSNR: 30.316, SSIM: 0.8041, LPIPS: 0.052835
21-03-31 16:13:04.678 - INFO: End of epoch 709 / 4238 	 Time Taken: 57.8807 sec
21-03-31 16:13:51.561 - INFO: <epoch:710, iter:  83,200, lr:5.000e-05, t:89.0860s, td:0.0176s, eta:10314.1754h> pix-l1: 4.5319e-03 contextual: 3.0768e+00 l_g_gan: 6.0616e-02 ms-ssim: 6.2651e-02 l_d_real: 7.5902e-01 l_d_fake: 7.2951e-01 D_real: 6.0078e+00 D_fake: 2.8223e+00 
21-03-31 16:13:56.248 - INFO: End of epoch 710 / 4238 	 Time Taken: 51.5701 sec
21-03-31 16:14:47.739 - INFO: End of epoch 711 / 4238 	 Time Taken: 51.4902 sec
21-03-31 16:15:20.686 - INFO: <epoch:712, iter:  83,400, lr:5.000e-05, t:91.8358s, td:0.0352s, eta:10627.4426h> pix-l1: 3.9632e-03 contextual: 3.4682e+00 l_g_gan: 8.7143e-02 ms-ssim: 7.4401e-02 l_d_real: 1.3487e+00 l_d_fake: 1.3545e+00 D_real: 1.7256e+00 D_fake: -4.5508e+00 
21-03-31 16:15:39.263 - INFO: End of epoch 712 / 4238 	 Time Taken: 51.5238 sec
21-03-31 16:16:30.798 - INFO: End of epoch 713 / 4238 	 Time Taken: 51.5357 sec
21-03-31 16:16:49.867 - INFO: <epoch:714, iter:  83,600, lr:5.000e-05, t:89.1250s, td:0.0352s, eta:10308.7973h> pix-l1: 4.7019e-03 contextual: 3.6804e+00 l_g_gan: 3.2802e-02 ms-ssim: 1.5955e-01 l_d_real: 2.1019e+00 l_d_fake: 2.1281e+00 D_real: 7.5625e+00 D_fake: 8.5156e+00 
21-03-31 16:17:22.321 - INFO: End of epoch 714 / 4238 	 Time Taken: 51.5225 sec
21-03-31 16:18:13.877 - INFO: End of epoch 715 / 4238 	 Time Taken: 51.5551 sec
21-03-31 16:18:19.056 - INFO: <epoch:716, iter:  83,800, lr:5.000e-05, t:89.1812s, td:0.0352s, eta:10310.3382h> pix-l1: 3.7007e-03 contextual: 3.4400e+00 l_g_gan: 1.3478e-01 ms-ssim: 9.5116e-02 l_d_real: 7.3850e-01 l_d_fake: 7.3891e-01 D_real: 1.1438e+01 D_fake: 3.8945e+00 
21-03-31 16:19:05.407 - INFO: End of epoch 716 / 4238 	 Time Taken: 51.5302 sec
21-03-31 16:19:44.521 - INFO: <epoch:717, iter:  84,000, lr:5.000e-05, t:89.1889s, td:0.0176s, eta:10306.2769h> pix-l1: 3.1232e-03 contextual: 3.0343e+00 l_g_gan: 9.6870e-02 ms-ssim: 6.6190e-02 l_d_real: 5.1053e-01 l_d_fake: 5.0865e-01 D_real: 5.7148e+00 D_fake: -1.7803e+00 
21-03-31 16:19:45.107 - INFO: Models and training states saved.
21-03-31 16:19:50.846 - INFO: # Validation # PSNR: 30.384, SSIM: 0.81269, LPIPS: 0.05488
21-03-31 16:19:50.846 - INFO: <epoch:717, iter:  84,000> PSNR: 30.384, SSIM: 0.81269, LPIPS: 0.05488
21-03-31 16:20:03.306 - INFO: End of epoch 717 / 4238 	 Time Taken: 57.8984 sec
21-03-31 16:20:54.830 - INFO: End of epoch 718 / 4238 	 Time Taken: 51.5234 sec
21-03-31 16:21:20.029 - INFO: <epoch:719, iter:  84,200, lr:5.000e-05, t:85.4649s, td:0.0352s, eta:9871.1992h> pix-l1: 3.1843e-03 contextual: 4.0560e+00 l_g_gan: 1.1157e-01 ms-ssim: 5.0593e-02 l_d_real: 6.0486e-01 l_d_fake: 6.0774e-01 D_real: 8.0234e+00 D_fake: -2.1667e-01 
21-03-31 16:21:46.390 - INFO: End of epoch 719 / 4238 	 Time Taken: 51.5596 sec
21-03-31 16:22:37.933 - INFO: End of epoch 720 / 4238 	 Time Taken: 51.5429 sec
21-03-31 16:22:49.254 - INFO: <epoch:721, iter:  84,400, lr:5.000e-05, t:95.5083s, td:0.0353s, eta:11025.8983h> pix-l1: 5.0014e-03 contextual: 3.6809e+00 l_g_gan: 1.2509e-01 ms-ssim: 7.1728e-02 l_d_real: 5.4294e-01 l_d_fake: 5.4193e-01 D_real: 1.7172e+01 D_fake: 8.5078e+00 
21-03-31 16:23:29.535 - INFO: End of epoch 721 / 4238 	 Time Taken: 51.6022 sec
21-03-31 16:24:14.715 - INFO: <epoch:722, iter:  84,600, lr:5.000e-05, t:89.2242s, td:0.0177s, eta:10295.4839h> pix-l1: 4.8389e-03 contextual: 4.2073e+00 l_g_gan: 1.0951e-01 ms-ssim: 8.3778e-02 l_d_real: 3.7038e-01 l_d_fake: 3.5434e-01 D_real: 1.0516e+01 D_fake: 2.5645e+00 
21-03-31 16:24:21.036 - INFO: End of epoch 722 / 4238 	 Time Taken: 51.5002 sec
21-03-31 16:25:12.507 - INFO: End of epoch 723 / 4238 	 Time Taken: 51.4714 sec
21-03-31 16:25:43.858 - INFO: <epoch:724, iter:  84,800, lr:5.000e-05, t:85.4614s, td:0.0352s, eta:9856.5500h> pix-l1: 3.2989e-03 contextual: 2.9429e+00 l_g_gan: 3.8373e-02 ms-ssim: 4.7416e-02 l_d_real: 2.3569e+00 l_d_fake: 2.3766e+00 D_real: -9.9844e+00 D_fake: -1.3281e+01 
21-03-31 16:26:04.070 - INFO: End of epoch 724 / 4238 	 Time Taken: 51.5634 sec
21-03-31 16:26:55.579 - INFO: End of epoch 725 / 4238 	 Time Taken: 51.5083 sec
21-03-31 16:27:13.007 - INFO: <epoch:726, iter:  85,000, lr:5.000e-05, t:89.1434s, td:0.0353s, eta:10276.2476h> pix-l1: 4.4220e-03 contextual: 5.0836e+00 l_g_gan: 1.1374e-01 ms-ssim: 9.4223e-02 l_d_real: 5.5076e-01 l_d_fake: 5.5022e-01 D_real: 1.8047e+01 D_fake: 9.8594e+00 
21-03-31 16:27:13.592 - INFO: Models and training states saved.
21-03-31 16:27:19.337 - INFO: # Validation # PSNR: 30.257, SSIM: 0.81071, LPIPS: 0.054713
21-03-31 16:27:19.337 - INFO: <epoch:726, iter:  85,000> PSNR: 30.257, SSIM: 0.81071, LPIPS: 0.054713
21-03-31 16:27:53.425 - INFO: End of epoch 726 / 4238 	 Time Taken: 57.8459 sec
21-03-31 16:28:44.821 - INFO: <epoch:727, iter:  85,200, lr:5.000e-05, t:89.1493s, td:0.0177s, eta:10271.9834h> pix-l1: 5.1676e-03 contextual: 2.8163e+00 l_g_gan: 1.1595e-01 ms-ssim: 5.6417e-02 l_d_real: 8.8782e-01 l_d_fake: 8.8239e-01 D_real: 4.0234e+00 D_fake: -6.5469e+00 
21-03-31 16:28:45.018 - INFO: End of epoch 727 / 4238 	 Time Taken: 51.5932 sec
21-03-31 16:29:36.520 - INFO: End of epoch 728 / 4238 	 Time Taken: 51.5017 sec
21-03-31 16:30:13.946 - INFO: <epoch:729, iter:  85,400, lr:5.000e-05, t:91.8135s, td:0.0352s, eta:10573.8567h> pix-l1: 3.2919e-03 contextual: 4.6236e+00 l_g_gan: 1.9235e-01 ms-ssim: 7.8376e-02 l_d_real: 8.1394e-01 l_d_fake: 8.1649e-01 D_real: 2.2203e+01 D_fake: 7.6914e+00 
21-03-31 16:30:28.024 - INFO: End of epoch 729 / 4238 	 Time Taken: 51.5038 sec
21-03-31 16:31:19.532 - INFO: End of epoch 730 / 4238 	 Time Taken: 51.5082 sec
21-03-31 16:31:43.062 - INFO: <epoch:731, iter:  85,600, lr:5.000e-05, t:89.1245s, td:0.0351s, eta:10259.2198h> pix-l1: 3.4216e-03 contextual: 2.8161e+00 l_g_gan: 1.1375e-01 ms-ssim: 7.3211e-02 l_d_real: 6.1200e-01 l_d_fake: 6.0897e-01 D_real: 1.9033e+00 D_fake: -7.1523e+00 
21-03-31 16:32:11.039 - INFO: End of epoch 731 / 4238 	 Time Taken: 51.5067 sec
21-03-31 16:33:02.575 - INFO: End of epoch 732 / 4238 	 Time Taken: 51.5360 sec
21-03-31 16:33:12.233 - INFO: <epoch:733, iter:  85,800, lr:5.000e-05, t:89.1161s, td:0.0351s, eta:10253.3063h> pix-l1: 4.2000e-03 contextual: 3.5862e+00 l_g_gan: 1.1388e-01 ms-ssim: 6.9232e-02 l_d_real: 4.9039e-01 l_d_fake: 4.8787e-01 D_real: 1.3203e+01 D_fake: 5.8789e+00 
21-03-31 16:33:54.093 - INFO: End of epoch 733 / 4238 	 Time Taken: 51.5178 sec
21-03-31 16:34:37.665 - INFO: <epoch:734, iter:  86,000, lr:5.000e-05, t:89.1716s, td:0.0175s, eta:10254.7295h> pix-l1: 5.0197e-03 contextual: 2.9630e+00 l_g_gan: 7.6128e-02 ms-ssim: 5.0719e-02 l_d_real: 2.1359e+00 l_d_fake: 2.1443e+00 D_real: -6.9180e+00 D_fake: -1.4227e+01 
21-03-31 16:34:38.249 - INFO: Models and training states saved.
21-03-31 16:34:43.980 - INFO: # Validation # PSNR: 30.308, SSIM: 0.81091, LPIPS: 0.053639
21-03-31 16:34:43.980 - INFO: <epoch:734, iter:  86,000> PSNR: 30.308, SSIM: 0.81091, LPIPS: 0.053639
21-03-31 16:34:51.960 - INFO: End of epoch 734 / 4238 	 Time Taken: 57.8664 sec
21-03-31 16:35:43.493 - INFO: End of epoch 735 / 4238 	 Time Taken: 51.5330 sec
21-03-31 16:36:13.157 - INFO: <epoch:736, iter:  86,200, lr:5.000e-05, t:85.4311s, td:0.0351s, eta:9819.8358h> pix-l1: 1.7130e-03 contextual: 3.4570e+00 l_g_gan: 8.1314e-02 ms-ssim: 3.3605e-02 l_d_real: 7.5189e-01 l_d_fake: 7.8845e-01 D_real: -1.8281e+01 D_fake: -2.4422e+01 
21-03-31 16:36:35.007 - INFO: End of epoch 736 / 4238 	 Time Taken: 51.5133 sec
21-03-31 16:37:26.530 - INFO: End of epoch 737 / 4238 	 Time Taken: 51.5230 sec
21-03-31 16:37:42.302 - INFO: <epoch:738, iter:  86,400, lr:5.000e-05, t:95.4926s, td:0.0351s, eta:10971.0374h> pix-l1: 6.4099e-03 contextual: 5.2684e+00 l_g_gan: 6.1594e-02 ms-ssim: 1.2322e-01 l_d_real: 6.7985e-01 l_d_fake: 7.0965e-01 D_real: 1.4930e+01 D_fake: 1.1086e+01 
21-03-31 16:38:18.044 - INFO: End of epoch 738 / 4238 	 Time Taken: 51.5148 sec
21-03-31 16:39:07.781 - INFO: <epoch:739, iter:  86,600, lr:5.000e-05, t:89.1452s, td:0.0176s, eta:10236.8447h> pix-l1: 5.9082e-03 contextual: 4.4034e+00 l_g_gan: 1.3547e-01 ms-ssim: 1.1507e-01 l_d_real: 2.4041e-01 l_d_fake: 2.4419e-01 D_real: 1.1859e+01 D_fake: 2.8438e+00 
21-03-31 16:39:09.614 - INFO: End of epoch 739 / 4238 	 Time Taken: 51.5691 sec
21-03-31 16:40:01.152 - INFO: End of epoch 740 / 4238 	 Time Taken: 51.5375 sec
21-03-31 16:40:36.983 - INFO: <epoch:741, iter:  86,800, lr:5.000e-05, t:85.4785s, td:0.0352s, eta:9811.0372h> pix-l1: 2.4751e-03 contextual: 3.8037e+00 l_g_gan: 7.6300e-02 ms-ssim: 6.8266e-02 l_d_real: 1.0845e+00 l_d_fake: 1.0837e+00 D_real: 1.7041e+00 D_fake: -3.4570e+00 
21-03-31 16:40:52.740 - INFO: End of epoch 741 / 4238 	 Time Taken: 51.5877 sec
21-03-31 16:41:44.281 - INFO: End of epoch 742 / 4238 	 Time Taken: 51.5416 sec
21-03-31 16:42:06.203 - INFO: <epoch:743, iter:  87,000, lr:5.000e-05, t:89.2017s, td:0.0352s, eta:10233.4140h> pix-l1: 4.2580e-03 contextual: 5.0728e+00 l_g_gan: 1.9778e-01 ms-ssim: 8.6227e-02 l_d_real: 8.1711e-01 l_d_fake: 8.1759e-01 D_real: 1.3570e+01 D_fake: -3.2891e+00 
21-03-31 16:42:06.784 - INFO: Models and training states saved.
21-03-31 16:42:12.630 - INFO: # Validation # PSNR: 30.1, SSIM: 0.80502, LPIPS: 0.05342
21-03-31 16:42:12.630 - INFO: <epoch:743, iter:  87,000> PSNR: 30.1, SSIM: 0.80502, LPIPS: 0.05342
21-03-31 16:42:42.264 - INFO: End of epoch 743 / 4238 	 Time Taken: 57.9830 sec
21-03-31 16:43:33.822 - INFO: End of epoch 744 / 4238 	 Time Taken: 51.5580 sec
21-03-31 16:43:41.862 - INFO: <epoch:745, iter:  87,200, lr:5.000e-05, t:89.2204s, td:0.0352s, eta:10230.6029h> pix-l1: 2.8614e-03 contextual: 3.3826e+00 l_g_gan: 2.4054e-02 ms-ssim: 5.2933e-02 l_d_real: 2.2954e+00 l_d_fake: 2.3650e+00 D_real: -3.4883e+00 D_fake: -3.8828e+00 
21-03-31 16:44:25.327 - INFO: End of epoch 745 / 4238 	 Time Taken: 51.5051 sec
21-03-31 16:45:07.260 - INFO: <epoch:746, iter:  87,400, lr:5.000e-05, t:95.6591s, td:0.0176s, eta:10963.5979h> pix-l1: 2.1626e-03 contextual: 2.0990e+00 l_g_gan: 7.7610e-02 ms-ssim: 1.9390e-02 l_d_real: 6.8405e-01 l_d_fake: 6.8801e-01 D_real: -2.0906e+01 D_fake: -2.6328e+01 
21-03-31 16:45:16.847 - INFO: End of epoch 746 / 4238 	 Time Taken: 51.5188 sec
21-03-31 16:46:08.400 - INFO: End of epoch 747 / 4238 	 Time Taken: 51.5525 sec
21-03-31 16:46:36.449 - INFO: <epoch:748, iter:  87,600, lr:5.000e-05, t:85.3983s, td:0.0353s, eta:9782.8500h> pix-l1: 4.7611e-03 contextual: 4.6746e+00 l_g_gan: 9.0278e-02 ms-ssim: 1.0231e-01 l_d_real: 7.2286e-01 l_d_fake: 5.7155e-01 D_real: 9.3203e+00 D_fake: 5.7266e+00 
21-03-31 16:46:59.923 - INFO: End of epoch 748 / 4238 	 Time Taken: 51.5233 sec
21-03-31 16:47:51.465 - INFO: End of epoch 749 / 4238 	 Time Taken: 51.5414 sec
21-03-31 16:48:05.638 - INFO: <epoch:750, iter:  87,800, lr:5.000e-05, t:89.1890s, td:0.0353s, eta:10212.1383h> pix-l1: 2.4327e-03 contextual: 4.3998e+00 l_g_gan: 1.2867e-01 ms-ssim: 5.0277e-02 l_d_real: 7.8826e-01 l_d_fake: 7.8792e-01 D_real: 7.2188e+00 D_fake: -3.1484e+00 
21-03-31 16:48:43.007 - INFO: End of epoch 750 / 4238 	 Time Taken: 51.5414 sec
21-03-31 16:49:31.115 - INFO: <epoch:751, iter:  88,000, lr:5.000e-05, t:89.1889s, td:0.0176s, eta:10207.1685h> pix-l1: 5.8226e-03 contextual: 3.5294e+00 l_g_gan: 2.6512e-02 ms-ssim: 7.4789e-02 l_d_real: 3.6508e+00 l_d_fake: 3.6009e+00 D_real: 2.4707e+00 D_fake: 9.8193e-01 
21-03-31 16:49:31.691 - INFO: Models and training states saved.
21-03-31 16:49:37.566 - INFO: # Validation # PSNR: 30.489, SSIM: 0.81397, LPIPS: 0.054782
21-03-31 16:49:37.566 - INFO: <epoch:751, iter:  88,000> PSNR: 30.489, SSIM: 0.81397, LPIPS: 0.054782
21-03-31 16:49:41.028 - INFO: End of epoch 751 / 4238 	 Time Taken: 58.0214 sec
21-03-31 16:50:32.520 - INFO: End of epoch 752 / 4238 	 Time Taken: 51.4923 sec
21-03-31 16:51:06.679 - INFO: <epoch:753, iter:  88,200, lr:5.000e-05, t:85.4762s, td:0.0351s, eta:9777.5255h> pix-l1: 4.6888e-03 contextual: 3.8677e+00 l_g_gan: 9.6162e-02 ms-ssim: 6.7839e-02 l_d_real: 1.2223e+00 l_d_fake: 1.2202e+00 D_real: 1.1523e+01 D_fake: 3.0781e+00 
21-03-31 16:51:24.035 - INFO: End of epoch 753 / 4238 	 Time Taken: 51.5144 sec
21-03-31 16:52:15.563 - INFO: End of epoch 754 / 4238 	 Time Taken: 51.5278 sec
21-03-31 16:52:35.862 - INFO: <epoch:755, iter:  88,400, lr:5.000e-05, t:95.5646s, td:0.0351s, eta:10926.2199h> pix-l1: 4.7740e-03 contextual: 4.2383e+00 l_g_gan: 1.1511e-01 ms-ssim: 1.0038e-01 l_d_real: 1.2572e+00 l_d_fake: 1.2558e+00 D_real: 1.8172e+01 D_fake: 8.6953e+00 
21-03-31 16:53:07.110 - INFO: End of epoch 755 / 4238 	 Time Taken: 51.5479 sec
21-03-31 16:53:58.660 - INFO: End of epoch 756 / 4238 	 Time Taken: 51.5497 sec
21-03-31 16:54:05.079 - INFO: <epoch:757, iter:  88,600, lr:5.000e-05, t:89.1831s, td:0.0353s, eta:10191.6453h> pix-l1: 4.2458e-03 contextual: 4.0762e+00 l_g_gan: 8.7961e-02 ms-ssim: 8.3926e-02 l_d_real: 6.5977e-01 l_d_fake: 6.6181e-01 D_real: 6.0039e+00 D_fake: -9.9365e-01 
21-03-31 16:54:50.209 - INFO: End of epoch 757 / 4238 	 Time Taken: 51.5484 sec
21-03-31 16:55:30.508 - INFO: <epoch:758, iter:  88,800, lr:5.000e-05, t:89.2174s, td:0.0176s, eta:10190.6113h> pix-l1: 4.6459e-03 contextual: 3.5261e+00 l_g_gan: 9.4553e-02 ms-ssim: 7.0589e-02 l_d_real: 7.7274e-01 l_d_fake: 7.8375e-01 D_real: 9.0547e+00 D_fake: 2.3750e+00 
21-03-31 16:55:41.725 - INFO: End of epoch 758 / 4238 	 Time Taken: 51.5158 sec
21-03-31 16:56:33.293 - INFO: End of epoch 759 / 4238 	 Time Taken: 51.5686 sec
21-03-31 16:56:59.704 - INFO: <epoch:760, iter:  89,000, lr:5.000e-05, t:85.4288s, td:0.0352s, eta:9753.1178h> pix-l1: 2.9057e-03 contextual: 2.5937e+00 l_g_gan: 8.7515e-02 ms-ssim: 4.5473e-02 l_d_real: 7.1872e-01 l_d_fake: 7.1004e-01 D_real: -2.9531e+00 D_fake: -9.1797e+00 
21-03-31 16:57:00.279 - INFO: Models and training states saved.
21-03-31 16:57:06.170 - INFO: # Validation # PSNR: 30.181, SSIM: 0.80387, LPIPS: 0.055173
21-03-31 16:57:06.170 - INFO: <epoch:760, iter:  89,000> PSNR: 30.181, SSIM: 0.80387, LPIPS: 0.055173
21-03-31 16:57:31.312 - INFO: End of epoch 760 / 4238 	 Time Taken: 58.0186 sec
21-03-31 16:58:22.835 - INFO: End of epoch 761 / 4238 	 Time Taken: 51.5228 sec
21-03-31 16:58:35.386 - INFO: <epoch:762, iter:  89,200, lr:5.000e-05, t:89.1959s, td:0.0353s, eta:10178.2412h> pix-l1: 3.2409e-03 contextual: 2.6537e+00 l_g_gan: 8.9161e-02 ms-ssim: 6.1928e-02 l_d_real: 5.5506e-01 l_d_fake: 5.3403e-01 D_real: -4.4785e-03 D_fake: -5.1992e+00 
21-03-31 16:59:14.444 - INFO: End of epoch 762 / 4238 	 Time Taken: 51.6080 sec
21-03-31 17:00:00.900 - INFO: <epoch:763, iter:  89,400, lr:5.000e-05, t:95.6818s, td:0.0176s, eta:10913.0373h> pix-l1: 3.8838e-03 contextual: 3.3524e+00 l_g_gan: 9.8251e-02 ms-ssim: 9.1316e-02 l_d_real: 6.5265e-01 l_d_fake: 6.5243e-01 D_real: 1.0945e+01 D_fake: 4.7266e+00 
21-03-31 17:00:06.000 - INFO: End of epoch 763 / 4238 	 Time Taken: 51.5556 sec
21-03-31 17:00:57.503 - INFO: End of epoch 764 / 4238 	 Time Taken: 51.5034 sec
21-03-31 17:01:30.022 - INFO: <epoch:765, iter:  89,600, lr:5.000e-05, t:85.5144s, td:0.0352s, eta:9748.6417h> pix-l1: 1.5157e-03 contextual: 2.7538e+00 l_g_gan: 5.4052e-02 ms-ssim: 2.4785e-02 l_d_real: 1.1706e+00 l_d_fake: 1.1635e+00 D_real: -1.8375e+01 D_fake: -2.2219e+01 
21-03-31 17:01:48.987 - INFO: End of epoch 765 / 4238 	 Time Taken: 51.4828 sec
21-03-31 17:02:40.540 - INFO: End of epoch 766 / 4238 	 Time Taken: 51.5529 sec
21-03-31 17:02:59.227 - INFO: <epoch:767, iter:  89,800, lr:5.000e-05, t:89.1218s, td:0.0353s, eta:10154.9361h> pix-l1: 3.9186e-03 contextual: 3.4948e+00 l_g_gan: 5.4508e-02 ms-ssim: 7.5714e-02 l_d_real: 1.4508e+00 l_d_fake: 1.4325e+00 D_real: 3.7070e+00 D_fake: -8.3252e-01 
21-03-31 17:03:32.131 - INFO: End of epoch 767 / 4238 	 Time Taken: 51.5912 sec
21-03-31 17:04:23.667 - INFO: End of epoch 768 / 4238 	 Time Taken: 51.5359 sec
21-03-31 17:04:28.429 - INFO: <epoch:769, iter:  90,000, lr:5.000e-05, t:89.2046s, td:0.0351s, eta:10159.4110h> pix-l1: 4.2850e-03 contextual: 3.6830e+00 l_g_gan: 1.0720e-01 ms-ssim: 7.6808e-02 l_d_real: 1.3129e+00 l_d_fake: 1.3123e+00 D_real: 1.2359e+01 D_fake: 4.5469e+00 
21-03-31 17:04:29.005 - INFO: Models and training states saved.
21-03-31 17:04:34.810 - INFO: # Validation # PSNR: 29.861, SSIM: 0.80638, LPIPS: 0.053274
21-03-31 17:04:34.810 - INFO: <epoch:769, iter:  90,000> PSNR: 29.861, SSIM: 0.80638, LPIPS: 0.053274
21-03-31 17:05:21.584 - INFO: End of epoch 769 / 4238 	 Time Taken: 57.9167 sec
21-03-31 17:06:00.283 - INFO: <epoch:770, iter:  90,200, lr:5.000e-05, t:89.2022s, td:0.0176s, eta:10154.1800h> pix-l1: 4.1676e-03 contextual: 3.1688e+00 l_g_gan: 6.0697e-02 ms-ssim: 7.3977e-02 l_d_real: 1.0985e+00 l_d_fake: 1.1129e+00 D_real: 5.0938e+00 D_fake: 2.9434e+00 
21-03-31 17:06:13.133 - INFO: End of epoch 770 / 4238 	 Time Taken: 51.5490 sec
21-03-31 17:07:04.680 - INFO: End of epoch 771 / 4238 	 Time Taken: 51.5470 sec
21-03-31 17:07:29.462 - INFO: <epoch:772, iter:  90,400, lr:5.000e-05, t:91.8537s, td:0.0352s, eta:10450.9065h> pix-l1: 4.5996e-03 contextual: 4.6782e+00 l_g_gan: 8.5771e-02 ms-ssim: 6.6715e-02 l_d_real: 8.7891e-01 l_d_fake: 8.7890e-01 D_real: 4.7188e+00 D_fake: -2.5605e+00 
21-03-31 17:07:56.195 - INFO: End of epoch 772 / 4238 	 Time Taken: 51.5148 sec
21-03-31 17:08:47.711 - INFO: End of epoch 773 / 4238 	 Time Taken: 51.5156 sec
21-03-31 17:08:58.610 - INFO: <epoch:774, iter:  90,600, lr:5.000e-05, t:89.1794s, td:0.0353s, eta:10141.6850h> pix-l1: 4.8368e-03 contextual: 5.4393e+00 l_g_gan: 1.0700e-01 ms-ssim: 1.1861e-01 l_d_real: 5.7004e-01 l_d_fake: 5.1069e-01 D_real: 2.2375e+01 D_fake: 1.7953e+01 
21-03-31 17:09:39.315 - INFO: End of epoch 774 / 4238 	 Time Taken: 51.6042 sec
21-03-31 17:10:24.145 - INFO: <epoch:775, iter:  90,800, lr:5.000e-05, t:89.1480s, td:0.0176s, eta:10133.1556h> pix-l1: 5.2956e-03 contextual: 4.3200e+00 l_g_gan: 1.6282e-01 ms-ssim: 8.5892e-02 l_d_real: 3.5020e-01 l_d_fake: 3.4855e-01 D_real: 1.4352e+01 D_fake: 2.9062e+00 
21-03-31 17:10:30.872 - INFO: End of epoch 775 / 4238 	 Time Taken: 51.5565 sec
21-03-31 17:11:22.391 - INFO: End of epoch 776 / 4238 	 Time Taken: 51.5189 sec
21-03-31 17:11:53.298 - INFO: <epoch:777, iter:  91,000, lr:5.000e-05, t:85.5351s, td:0.0352s, eta:9717.7414h> pix-l1: 4.2122e-03 contextual: 4.0520e+00 l_g_gan: 1.3401e-01 ms-ssim: 6.4807e-02 l_d_real: 4.8698e-01 l_d_fake: 4.8833e-01 D_real: 7.7578e+00 D_fake: -1.6709e+00 
21-03-31 17:11:53.884 - INFO: Models and training states saved.
21-03-31 17:11:59.693 - INFO: # Validation # PSNR: 30, SSIM: 0.8042, LPIPS: 0.053719
21-03-31 17:11:59.693 - INFO: <epoch:777, iter:  91,000> PSNR: 30, SSIM: 0.8042, LPIPS: 0.053719
21-03-31 17:12:20.325 - INFO: End of epoch 777 / 4238 	 Time Taken: 57.9335 sec
21-03-31 17:13:12.837 - INFO: End of epoch 778 / 4238 	 Time Taken: 52.5119 sec
21-03-31 17:13:30.757 - INFO: <epoch:779, iter:  91,200, lr:5.000e-05, t:89.1529s, td:0.0378s, eta:10123.8085h> pix-l1: 6.3528e-03 contextual: 4.1128e+00 l_g_gan: 1.1762e-01 ms-ssim: 1.0026e-01 l_d_real: 4.3602e-01 l_d_fake: 4.3978e-01 D_real: 1.1539e+01 D_fake: 2.8125e+00 
21-03-31 17:14:05.993 - INFO: End of epoch 779 / 4238 	 Time Taken: 53.1564 sec
21-03-31 17:14:57.537 - INFO: <epoch:780, iter:  91,400, lr:5.000e-05, t:97.4584s, td:0.0191s, eta:11061.5303h> pix-l1: 4.8987e-03 contextual: 3.6738e+00 l_g_gan: 1.0520e-01 ms-ssim: 9.7534e-02 l_d_real: 8.0200e-01 l_d_fake: 7.9611e-01 D_real: 1.1461e+01 D_fake: 2.8477e+00 
21-03-31 17:14:58.150 - INFO: End of epoch 780 / 4238 	 Time Taken: 52.1570 sec
21-03-31 17:15:49.751 - INFO: End of epoch 781 / 4238 	 Time Taken: 51.6007 sec
21-03-31 17:16:26.796 - INFO: <epoch:782, iter:  91,600, lr:5.000e-05, t:86.7808s, td:0.0355s, eta:9844.8027h> pix-l1: 2.4027e-03 contextual: 1.6768e+00 l_g_gan: 6.7836e-02 ms-ssim: 3.5597e-02 l_d_real: 9.9800e-01 l_d_fake: 1.0123e+00 D_real: -6.8633e+00 D_fake: -1.1938e+01 
21-03-31 17:16:41.312 - INFO: End of epoch 782 / 4238 	 Time Taken: 51.5610 sec
21-03-31 17:17:32.920 - INFO: End of epoch 783 / 4238 	 Time Taken: 51.6077 sec
21-03-31 17:17:56.068 - INFO: <epoch:784, iter:  91,800, lr:5.000e-05, t:89.2593s, td:0.0352s, eta:10121.0161h> pix-l1: 4.3139e-03 contextual: 3.7584e+00 l_g_gan: 8.6295e-02 ms-ssim: 9.1798e-02 l_d_real: 5.8777e-01 l_d_fake: 5.7727e-01 D_real: 1.5219e+01 D_fake: 8.6328e+00 
21-03-31 17:18:24.440 - INFO: End of epoch 784 / 4238 	 Time Taken: 51.5201 sec
21-03-31 17:19:16.017 - INFO: End of epoch 785 / 4238 	 Time Taken: 51.5768 sec
21-03-31 17:19:25.278 - INFO: <epoch:786, iter:  92,000, lr:5.000e-05, t:89.2718s, td:0.0353s, eta:10117.4673h> pix-l1: 7.0758e-03 contextual: 4.8886e+00 l_g_gan: 1.1638e-01 ms-ssim: 1.0619e-01 l_d_real: 5.2619e-01 l_d_fake: 5.1125e-01 D_real: 1.8688e+01 D_fake: 8.9375e+00 
21-03-31 17:19:25.879 - INFO: Models and training states saved.
21-03-31 17:19:31.819 - INFO: # Validation # PSNR: 29.912, SSIM: 0.80285, LPIPS: 0.053157
21-03-31 17:19:31.819 - INFO: <epoch:786, iter:  92,000> PSNR: 29.912, SSIM: 0.80285, LPIPS: 0.053157
21-03-31 17:20:14.084 - INFO: End of epoch 786 / 4238 	 Time Taken: 58.0668 sec
21-03-31 17:20:57.223 - INFO: <epoch:787, iter:  92,200, lr:5.000e-05, t:89.2102s, td:0.0177s, eta:10105.5280h> pix-l1: 5.7475e-03 contextual: 4.4462e+00 l_g_gan: 6.3019e-02 ms-ssim: 1.0524e-01 l_d_real: 7.7752e-01 l_d_fake: 7.8070e-01 D_real: 2.7953e+01 D_fake: 2.4516e+01 
21-03-31 17:21:05.581 - INFO: End of epoch 787 / 4238 	 Time Taken: 51.4972 sec
21-03-31 17:21:57.024 - INFO: End of epoch 788 / 4238 	 Time Taken: 51.4419 sec
21-03-31 17:22:26.284 - INFO: <epoch:789, iter:  92,400, lr:5.000e-05, t:91.9447s, td:0.0352s, eta:10410.1844h> pix-l1: 5.7270e-03 contextual: 3.9910e+00 l_g_gan: 1.2622e-01 ms-ssim: 7.8153e-02 l_d_real: 6.9261e-01 l_d_fake: 6.9002e-01 D_real: 8.5234e+00 D_fake: -9.3213e-01 
21-03-31 17:22:48.518 - INFO: End of epoch 789 / 4238 	 Time Taken: 51.4941 sec
21-03-31 17:23:40.023 - INFO: End of epoch 790 / 4238 	 Time Taken: 51.5043 sec
21-03-31 17:23:55.418 - INFO: <epoch:791, iter:  92,600, lr:5.000e-05, t:89.0611s, td:0.0353s, eta:10078.7503h> pix-l1: 3.8821e-03 contextual: 3.5444e+00 l_g_gan: 1.7035e-01 ms-ssim: 4.9700e-02 l_d_real: 2.9854e-01 l_d_fake: 2.9815e-01 D_real: 1.7761e-01 D_fake: -1.0594e+01 
21-03-31 17:24:31.585 - INFO: End of epoch 791 / 4238 	 Time Taken: 51.5621 sec
21-03-31 17:25:20.909 - INFO: <epoch:792, iter:  92,800, lr:5.000e-05, t:89.1331s, td:0.0177s, eta:10081.9475h> pix-l1: 3.2650e-03 contextual: 3.2158e+00 l_g_gan: 1.0086e-01 ms-ssim: 5.8065e-02 l_d_real: 7.6240e-01 l_d_fake: 7.6084e-01 D_real: -1.9814e+00 D_fake: -9.6797e+00 
21-03-31 17:25:23.157 - INFO: End of epoch 792 / 4238 	 Time Taken: 51.5715 sec
21-03-31 17:26:14.702 - INFO: End of epoch 793 / 4238 	 Time Taken: 51.5455 sec
21-03-31 17:26:50.119 - INFO: <epoch:794, iter:  93,000, lr:5.000e-05, t:85.4921s, td:0.0352s, eta:9665.3560h> pix-l1: 4.2826e-03 contextual: 4.8768e+00 l_g_gan: 1.1773e-01 ms-ssim: 7.9361e-02 l_d_real: 5.7793e-01 l_d_fake: 5.7768e-01 D_real: 1.1039e+01 D_fake: 1.5869e+00 
21-03-31 17:26:50.711 - INFO: Models and training states saved.
21-03-31 17:26:56.585 - INFO: # Validation # PSNR: 30.206, SSIM: 0.80865, LPIPS: 0.054096
21-03-31 17:26:56.585 - INFO: <epoch:794, iter:  93,000> PSNR: 30.206, SSIM: 0.80865, LPIPS: 0.054096
21-03-31 17:27:12.723 - INFO: End of epoch 794 / 4238 	 Time Taken: 58.0198 sec
21-03-31 17:28:04.236 - INFO: End of epoch 795 / 4238 	 Time Taken: 51.5134 sec
21-03-31 17:28:25.787 - INFO: <epoch:796, iter:  93,200, lr:5.000e-05, t:89.2093s, td:0.0353s, eta:10080.6550h> pix-l1: 3.3372e-03 contextual: 2.8709e+00 l_g_gan: 1.0457e-01 ms-ssim: 5.6996e-02 l_d_real: 4.9387e-01 l_d_fake: 4.9174e-01 D_real: 4.6602e+00 D_fake: -2.4082e+00 
21-03-31 17:28:55.826 - INFO: End of epoch 796 / 4238 	 Time Taken: 51.5896 sec
21-03-31 17:29:47.344 - INFO: End of epoch 797 / 4238 	 Time Taken: 51.5188 sec
21-03-31 17:29:54.968 - INFO: <epoch:798, iter:  93,400, lr:5.000e-05, t:95.6683s, td:0.0352s, eta:10805.2025h> pix-l1: 4.5980e-03 contextual: 4.5667e+00 l_g_gan: 1.4079e-01 ms-ssim: 9.5771e-02 l_d_real: 4.2336e-01 l_d_fake: 4.2335e-01 D_real: 1.9109e+01 D_fake: 1.0789e+01 
21-03-31 17:30:38.881 - INFO: End of epoch 798 / 4238 	 Time Taken: 51.5363 sec
21-03-31 17:31:20.416 - INFO: <epoch:799, iter:  93,600, lr:5.000e-05, t:89.1809s, td:0.0176s, eta:10067.5290h> pix-l1: 5.3568e-03 contextual: 3.8533e+00 l_g_gan: 1.3229e-01 ms-ssim: 8.7534e-02 l_d_real: 7.8443e-01 l_d_fake: 7.8390e-01 D_real: 5.3438e+00 D_fake: -4.3086e+00 
21-03-31 17:31:30.408 - INFO: End of epoch 799 / 4238 	 Time Taken: 51.5274 sec
21-03-31 17:32:21.950 - INFO: End of epoch 800 / 4238 	 Time Taken: 51.5408 sec
21-03-31 17:32:49.628 - INFO: <epoch:801, iter:  93,800, lr:5.000e-05, t:85.4482s, td:0.0353s, eta:9641.4085h> pix-l1: 3.5054e-03 contextual: 3.8699e+00 l_g_gan: 1.0277e-01 ms-ssim: 7.8424e-02 l_d_real: 6.3845e-01 l_d_fake: 6.2915e-01 D_real: 4.9492e+00 D_fake: -2.7324e+00 
21-03-31 17:33:13.522 - INFO: End of epoch 801 / 4238 	 Time Taken: 51.5727 sec
21-03-31 17:34:05.055 - INFO: End of epoch 802 / 4238 	 Time Taken: 51.5329 sec
21-03-31 17:34:18.815 - INFO: <epoch:803, iter:  94,000, lr:5.000e-05, t:89.2114s, td:0.0352s, eta:10061.0617h> pix-l1: 1.9878e-03 contextual: 2.8802e+00 l_g_gan: 1.3556e-01 ms-ssim: 3.0262e-02 l_d_real: 8.6231e-01 l_d_fake: 8.6179e-01 D_real: -1.4109e+01 D_fake: -2.4500e+01 
21-03-31 17:34:19.472 - INFO: Models and training states saved.
21-03-31 17:34:25.352 - INFO: # Validation # PSNR: 30.18, SSIM: 0.80352, LPIPS: 0.052085
21-03-31 17:34:25.352 - INFO: <epoch:803, iter:  94,000> PSNR: 30.18, SSIM: 0.80352, LPIPS: 0.052085
21-03-31 17:35:03.150 - INFO: End of epoch 803 / 4238 	 Time Taken: 58.0943 sec
21-03-31 17:35:50.832 - INFO: <epoch:804, iter:  94,200, lr:5.000e-05, t:89.1880s, td:0.0176s, eta:10053.4689h> pix-l1: 4.9025e-03 contextual: 2.5978e+00 l_g_gan: 7.0191e-02 ms-ssim: 4.5445e-02 l_d_real: 4.9768e-01 l_d_fake: 5.0287e-01 D_real: -3.6016e+00 D_fake: -7.5000e+00 
21-03-31 17:35:54.698 - INFO: End of epoch 804 / 4238 	 Time Taken: 51.5480 sec
21-03-31 17:36:46.210 - INFO: End of epoch 805 / 4238 	 Time Taken: 51.5121 sec
21-03-31 17:37:19.978 - INFO: <epoch:806, iter:  94,400, lr:5.000e-05, t:92.0158s, td:0.0351s, eta:10367.1110h> pix-l1: 5.3053e-03 contextual: 4.1136e+00 l_g_gan: 7.1067e-02 ms-ssim: 1.1190e-01 l_d_real: 7.8098e-01 l_d_fake: 7.8150e-01 D_real: 5.6133e+00 D_fake: 1.4673e-01 
21-03-31 17:37:37.745 - INFO: End of epoch 806 / 4238 	 Time Taken: 51.5338 sec
21-03-31 17:38:29.264 - INFO: End of epoch 807 / 4238 	 Time Taken: 51.5199 sec
21-03-31 17:38:49.132 - INFO: <epoch:808, iter:  94,600, lr:5.000e-05, t:89.1466s, td:0.0352s, eta:10038.9003h> pix-l1: 4.6992e-03 contextual: 4.6342e+00 l_g_gan: 1.2828e-01 ms-ssim: 1.0539e-01 l_d_real: 8.2815e-01 l_d_fake: 8.2798e-01 D_real: 5.0312e+00 D_fake: -4.1367e+00 
21-03-31 17:39:20.757 - INFO: End of epoch 808 / 4238 	 Time Taken: 51.4921 sec
21-03-31 17:40:12.295 - INFO: End of epoch 809 / 4238 	 Time Taken: 51.5378 sec
21-03-31 17:40:18.290 - INFO: <epoch:810, iter:  94,800, lr:5.000e-05, t:89.1540s, td:0.0352s, eta:10034.7737h> pix-l1: 2.9054e-03 contextual: 4.2798e+00 l_g_gan: 8.5243e-02 ms-ssim: 6.7473e-02 l_d_real: 4.6511e-01 l_d_fake: 4.6299e-01 D_real: 3.5547e+00 D_fake: -4.6680e-01 
21-03-31 17:41:03.865 - INFO: End of epoch 810 / 4238 	 Time Taken: 51.5705 sec
21-03-31 17:41:43.765 - INFO: <epoch:811, iter:  95,000, lr:5.000e-05, t:89.1575s, td:0.0176s, eta:10030.2188h> pix-l1: 3.4384e-03 contextual: 2.9900e+00 l_g_gan: 1.0344e-01 ms-ssim: 4.3809e-02 l_d_real: 9.4028e-01 l_d_fake: 9.2652e-01 D_real: 8.2188e+00 D_fake: -1.0088e+00 
21-03-31 17:41:44.341 - INFO: Models and training states saved.
21-03-31 17:41:50.198 - INFO: # Validation # PSNR: 30.07, SSIM: 0.79963, LPIPS: 0.052643
21-03-31 17:41:50.198 - INFO: <epoch:811, iter:  95,000> PSNR: 30.07, SSIM: 0.79963, LPIPS: 0.052643
21-03-31 17:42:01.841 - INFO: End of epoch 811 / 4238 	 Time Taken: 57.9752 sec
21-03-31 17:42:53.352 - INFO: End of epoch 812 / 4238 	 Time Taken: 51.5109 sec
21-03-31 17:43:19.358 - INFO: <epoch:813, iter:  95,200, lr:5.000e-05, t:85.4749s, td:0.0351s, eta:9611.1818h> pix-l1: 4.5031e-03 contextual: 4.8776e+00 l_g_gan: 1.3261e-01 ms-ssim: 8.7441e-02 l_d_real: 6.7708e-01 l_d_fake: 6.8251e-01 D_real: 1.4734e+01 D_fake: 3.6777e+00 
21-03-31 17:43:44.873 - INFO: End of epoch 813 / 4238 	 Time Taken: 51.5206 sec
21-03-31 17:44:36.393 - INFO: End of epoch 814 / 4238 	 Time Taken: 51.5197 sec
21-03-31 17:44:48.568 - INFO: <epoch:815, iter:  95,400, lr:5.000e-05, t:95.5940s, td:0.0353s, eta:10743.7001h> pix-l1: 2.8650e-03 contextual: 2.9653e+00 l_g_gan: 4.2664e-02 ms-ssim: 6.4014e-02 l_d_real: 3.7202e+00 l_d_fake: 3.7117e+00 D_real: -1.9297e+00 D_fake: -5.9102e+00 
21-03-31 17:45:27.933 - INFO: End of epoch 815 / 4238 	 Time Taken: 51.5398 sec
21-03-31 17:46:13.960 - INFO: <epoch:816, iter:  95,600, lr:5.000e-05, t:89.2092s, td:0.0176s, eta:10021.1701h> pix-l1: 3.1042e-03 contextual: 3.2462e+00 l_g_gan: 8.5883e-02 ms-ssim: 5.7028e-02 l_d_real: 1.0098e+00 l_d_fake: 9.9170e-01 D_real: 5.7305e+00 D_fake: -7.2852e-01 
21-03-31 17:46:19.466 - INFO: End of epoch 816 / 4238 	 Time Taken: 51.5325 sec
21-03-31 17:47:10.964 - INFO: End of epoch 817 / 4238 	 Time Taken: 51.4977 sec
21-03-31 17:47:43.090 - INFO: <epoch:818, iter:  95,800, lr:5.000e-05, t:85.3927s, td:0.0351s, eta:9587.6989h> pix-l1: 7.6261e-03 contextual: 5.8121e+00 l_g_gan: 1.5258e-01 ms-ssim: 1.2889e-01 l_d_real: 5.4604e-01 l_d_fake: 5.4696e-01 D_real: 2.1406e+01 D_fake: 1.1523e+01 
21-03-31 17:48:02.475 - INFO: End of epoch 818 / 4238 	 Time Taken: 51.5108 sec
21-03-31 17:48:53.974 - INFO: End of epoch 819 / 4238 	 Time Taken: 51.4982 sec
21-03-31 17:49:12.223 - INFO: <epoch:820, iter:  96,000, lr:5.000e-05, t:89.1296s, td:0.0352s, eta:10002.3245h> pix-l1: 6.6485e-03 contextual: 4.8353e+00 l_g_gan: 1.1332e-01 ms-ssim: 1.1562e-01 l_d_real: 6.1947e-01 l_d_fake: 6.2511e-01 D_real: 1.8188e+01 D_fake: 9.0312e+00 
21-03-31 17:49:12.800 - INFO: Models and training states saved.
21-03-31 17:49:18.678 - INFO: # Validation # PSNR: 30.487, SSIM: 0.80907, LPIPS: 0.052251
21-03-31 17:49:18.678 - INFO: <epoch:820, iter:  96,000> PSNR: 30.487, SSIM: 0.80907, LPIPS: 0.052251
21-03-31 17:49:52.013 - INFO: End of epoch 820 / 4238 	 Time Taken: 58.0395 sec
21-03-31 17:50:43.650 - INFO: End of epoch 821 / 4238 	 Time Taken: 51.6364 sec
21-03-31 17:50:48.003 - INFO: <epoch:822, iter:  96,200, lr:5.000e-05, t:89.1329s, td:0.0353s, eta:9997.7379h> pix-l1: 2.5759e-03 contextual: 3.2784e+00 l_g_gan: 6.9898e-02 ms-ssim: 5.2315e-02 l_d_real: 1.7827e+00 l_d_fake: 1.7742e+00 D_real: 2.3184e+00 D_fake: -4.2500e+00 
21-03-31 17:51:35.270 - INFO: End of epoch 822 / 4238 	 Time Taken: 51.6192 sec
21-03-31 17:52:13.600 - INFO: <epoch:823, iter:  96,400, lr:5.000e-05, t:95.7800s, td:0.0176s, eta:10737.9990h> pix-l1: 5.0653e-03 contextual: 3.1990e+00 l_g_gan: 5.6507e-02 ms-ssim: 6.6256e-02 l_d_real: 8.2492e-01 l_d_fake: 8.1675e-01 D_real: 6.4766e+00 D_fake: 2.6348e+00 
21-03-31 17:52:26.890 - INFO: End of epoch 823 / 4238 	 Time Taken: 51.6192 sec
21-03-31 17:53:18.525 - INFO: End of epoch 824 / 4238 	 Time Taken: 51.6356 sec
21-03-31 17:53:42.948 - INFO: <epoch:825, iter:  96,600, lr:5.000e-05, t:85.5980s, td:0.0351s, eta:9591.7271h> pix-l1: 5.6577e-03 contextual: 3.8478e+00 l_g_gan: 1.2052e-01 ms-ssim: 7.6334e-02 l_d_real: 6.2126e-01 l_d_fake: 6.1791e-01 D_real: 1.4703e+01 D_fake: 4.4219e+00 
21-03-31 17:54:10.171 - INFO: End of epoch 825 / 4238 	 Time Taken: 51.6463 sec
21-03-31 17:55:01.765 - INFO: End of epoch 826 / 4238 	 Time Taken: 51.5932 sec
21-03-31 17:55:12.301 - INFO: <epoch:827, iter:  96,800, lr:5.000e-05, t:89.3476s, td:0.0352s, eta:10006.9334h> pix-l1: 5.2361e-03 contextual: 4.0150e+00 l_g_gan: 7.7666e-02 ms-ssim: 9.2088e-02 l_d_real: 7.3473e-01 l_d_fake: 7.3695e-01 D_real: 7.7393e-01 D_fake: -4.9570e+00 
21-03-31 17:55:53.405 - INFO: End of epoch 827 / 4238 	 Time Taken: 51.6396 sec
21-03-31 17:56:37.876 - INFO: <epoch:828, iter:  97,000, lr:5.000e-05, t:89.3529s, td:0.0177s, eta:10002.5614h> pix-l1: 4.9710e-03 contextual: 5.2329e+00 l_g_gan: 1.0513e-01 ms-ssim: 1.1278e-01 l_d_real: 6.4978e-01 l_d_fake: 6.4300e-01 D_real: 2.4203e+01 D_fake: 1.5992e+01 
21-03-31 17:56:38.451 - INFO: Models and training states saved.
21-03-31 17:56:44.287 - INFO: # Validation # PSNR: 30.592, SSIM: 0.81407, LPIPS: 0.054625
21-03-31 17:56:44.287 - INFO: <epoch:828, iter:  97,000> PSNR: 30.592, SSIM: 0.81407, LPIPS: 0.054625
21-03-31 17:56:51.448 - INFO: End of epoch 828 / 4238 	 Time Taken: 58.0426 sec
21-03-31 17:57:43.024 - INFO: End of epoch 829 / 4238 	 Time Taken: 51.5766 sec
21-03-31 17:58:13.600 - INFO: <epoch:830, iter:  97,200, lr:5.000e-05, t:85.5745s, td:0.0352s, eta:9574.8367h> pix-l1: 3.2246e-03 contextual: 3.2386e+00 l_g_gan: 1.3347e-01 ms-ssim: 4.4671e-02 l_d_real: 3.4353e-01 l_d_fake: 3.4593e-01 D_real: 1.1516e+01 D_fake: 2.1504e+00 
21-03-31 17:58:34.695 - INFO: End of epoch 830 / 4238 	 Time Taken: 51.6702 sec
21-03-31 17:59:26.340 - INFO: End of epoch 831 / 4238 	 Time Taken: 51.6456 sec
21-03-31 17:59:42.970 - INFO: <epoch:832, iter:  97,400, lr:5.000e-05, t:95.7239s, td:0.0351s, eta:10705.1177h> pix-l1: 4.6772e-03 contextual: 5.0546e+00 l_g_gan: 6.3237e-02 ms-ssim: 1.0414e-01 l_d_real: 8.0032e-01 l_d_fake: 8.0466e-01 D_real: 1.9859e+01 D_fake: 1.5336e+01 
21-03-31 18:00:17.971 - INFO: End of epoch 832 / 4238 	 Time Taken: 51.6309 sec
21-03-31 18:01:08.632 - INFO: <epoch:833, iter:  97,600, lr:5.000e-05, t:89.3702s, td:0.0176s, eta:9989.6019h> pix-l1: 3.8446e-03 contextual: 1.9837e+00 l_g_gan: 7.4514e-02 ms-ssim: 5.4887e-02 l_d_real: 1.0771e+00 l_d_fake: 1.0969e+00 D_real: -8.5312e+00 D_fake: -1.4602e+01 
21-03-31 18:01:09.646 - INFO: End of epoch 833 / 4238 	 Time Taken: 51.6747 sec
21-03-31 18:02:01.281 - INFO: End of epoch 834 / 4238 	 Time Taken: 51.6354 sec
21-03-31 18:02:37.921 - INFO: <epoch:835, iter:  97,800, lr:5.000e-05, t:85.6623s, td:0.0352s, eta:9570.3864h> pix-l1: 6.3655e-03 contextual: 5.0717e+00 l_g_gan: 4.3343e-02 ms-ssim: 1.1676e-01 l_d_real: 2.0838e+00 l_d_fake: 2.0894e+00 D_real: 5.4102e+00 D_fake: 1.7832e+00 
21-03-31 18:02:52.857 - INFO: End of epoch 835 / 4238 	 Time Taken: 51.5753 sec
21-03-31 18:03:44.482 - INFO: End of epoch 836 / 4238 	 Time Taken: 51.6244 sec
21-03-31 18:04:07.254 - INFO: <epoch:837, iter:  98,000, lr:5.000e-05, t:89.2882s, td:0.0352s, eta:9970.5127h> pix-l1: 3.6292e-03 contextual: 3.4141e+00 l_g_gan: 1.8085e-01 ms-ssim: 7.3053e-02 l_d_real: 4.2257e-01 l_d_fake: 4.2343e-01 D_real: 8.5547e+00 D_fake: -1.8281e+00 
21-03-31 18:04:07.855 - INFO: Models and training states saved.
21-03-31 18:04:13.719 - INFO: # Validation # PSNR: 30.503, SSIM: 0.80992, LPIPS: 0.05497
21-03-31 18:04:13.719 - INFO: <epoch:837, iter:  98,000> PSNR: 30.503, SSIM: 0.80992, LPIPS: 0.05497
21-03-31 18:04:42.483 - INFO: End of epoch 837 / 4238 	 Time Taken: 58.0001 sec
21-03-31 18:05:34.024 - INFO: End of epoch 838 / 4238 	 Time Taken: 51.5413 sec
21-03-31 18:05:42.929 - INFO: <epoch:839, iter:  98,200, lr:5.000e-05, t:89.3338s, td:0.0352s, eta:9970.6393h> pix-l1: 7.5631e-03 contextual: 3.7590e+00 l_g_gan: 1.2909e-01 ms-ssim: 9.9753e-02 l_d_real: 6.1584e-01 l_d_fake: 6.1708e-01 D_real: 2.3578e+01 D_fake: 1.5664e+01 
21-03-31 18:06:25.659 - INFO: End of epoch 839 / 4238 	 Time Taken: 51.6337 sec
21-03-31 18:07:08.502 - INFO: <epoch:840, iter:  98,400, lr:5.000e-05, t:95.6747s, td:0.0177s, eta:10673.0440h> pix-l1: 4.3588e-03 contextual: 2.8360e+00 l_g_gan: 6.3594e-02 ms-ssim: 5.4553e-02 l_d_real: 6.1867e-01 l_d_fake: 6.2508e-01 D_real: -1.5752e+00 D_fake: -5.2500e+00 
21-03-31 18:07:17.278 - INFO: End of epoch 840 / 4238 	 Time Taken: 51.6192 sec
21-03-31 18:08:08.864 - INFO: End of epoch 841 / 4238 	 Time Taken: 51.5855 sec
21-03-31 18:08:37.757 - INFO: <epoch:842, iter:  98,600, lr:5.000e-05, t:85.5729s, td:0.0351s, eta:9541.3736h> pix-l1: 6.9300e-03 contextual: 5.8709e+00 l_g_gan: 1.7522e-01 ms-ssim: 1.0171e-01 l_d_real: 1.7198e-01 l_d_fake: 1.7151e-01 D_real: 2.0422e+01 D_fake: 9.2500e+00 
21-03-31 18:09:00.446 - INFO: End of epoch 842 / 4238 	 Time Taken: 51.5825 sec
21-03-31 18:09:52.077 - INFO: End of epoch 843 / 4238 	 Time Taken: 51.6309 sec
21-03-31 18:10:07.078 - INFO: <epoch:844, iter:  98,800, lr:5.000e-05, t:89.2552s, td:0.0351s, eta:9946.9995h> pix-l1: 3.2265e-03 contextual: 3.4472e+00 l_g_gan: 8.3639e-02 ms-ssim: 5.9001e-02 l_d_real: 6.4117e-01 l_d_fake: 6.5469e-01 D_real: -5.3906e+00 D_fake: -1.1328e+01 
21-03-31 18:10:43.699 - INFO: End of epoch 844 / 4238 	 Time Taken: 51.6209 sec
21-03-31 18:11:32.672 - INFO: <epoch:845, iter:  99,000, lr:5.000e-05, t:89.3213s, td:0.0176s, eta:9949.4049h> pix-l1: 4.2233e-03 contextual: 3.5455e+00 l_g_gan: 1.6116e-01 ms-ssim: 4.6898e-02 l_d_real: 2.5118e-01 l_d_fake: 2.5051e-01 D_real: 3.9629e+00 D_fake: -6.1328e+00 
21-03-31 18:11:33.249 - INFO: Models and training states saved.
21-03-31 18:11:39.081 - INFO: # Validation # PSNR: 30.1, SSIM: 0.81445, LPIPS: 0.05623
21-03-31 18:11:39.082 - INFO: <epoch:845, iter:  99,000> PSNR: 30.1, SSIM: 0.81445, LPIPS: 0.05623
21-03-31 18:11:41.741 - INFO: End of epoch 845 / 4238 	 Time Taken: 58.0420 sec
21-03-31 18:12:33.349 - INFO: End of epoch 846 / 4238 	 Time Taken: 51.6077 sec
21-03-31 18:13:08.409 - INFO: <epoch:847, iter:  99,200, lr:5.000e-05, t:85.5939s, td:0.0353s, eta:9529.4573h> pix-l1: 4.3769e-03 contextual: 4.4225e+00 l_g_gan: 6.9783e-02 ms-ssim: 7.0548e-02 l_d_real: 1.6830e+00 l_d_fake: 1.6841e+00 D_real: 1.0062e+01 D_fake: 3.5820e+00 
21-03-31 18:13:24.975 - INFO: End of epoch 847 / 4238 	 Time Taken: 51.6262 sec
21-03-31 18:14:16.568 - INFO: End of epoch 848 / 4238 	 Time Taken: 51.5927 sec
21-03-31 18:14:37.698 - INFO: <epoch:849, iter:  99,400, lr:5.000e-05, t:95.7363s, td:0.0352s, eta:10653.3224h> pix-l1: 4.9092e-03 contextual: 3.7453e+00 l_g_gan: 1.5869e-01 ms-ssim: 1.3430e-01 l_d_real: 1.8651e-01 l_d_fake: 1.8769e-01 D_real: 6.1406e+00 D_fake: -4.5195e+00 
21-03-31 18:15:08.153 - INFO: End of epoch 849 / 4238 	 Time Taken: 51.5842 sec
21-03-31 18:15:59.795 - INFO: End of epoch 850 / 4238 	 Time Taken: 51.6413 sec
21-03-31 18:16:07.012 - INFO: <epoch:851, iter:  99,600, lr:5.000e-05, t:89.2892s, td:0.0351s, eta:9930.9428h> pix-l1: 2.8018e-03 contextual: 5.7725e+00 l_g_gan: 1.2602e-01 ms-ssim: 1.0086e-01 l_d_real: 6.7299e-01 l_d_fake: 6.7381e-01 D_real: 1.3414e+01 D_fake: 3.7656e+00 
21-03-31 18:16:51.405 - INFO: End of epoch 851 / 4238 	 Time Taken: 51.6107 sec
21-03-31 18:17:32.610 - INFO: <epoch:852, iter:  99,800, lr:5.000e-05, t:89.3142s, td:0.0176s, eta:9928.7658h> pix-l1: 3.3529e-03 contextual: 3.9861e+00 l_g_gan: 7.2012e-02 ms-ssim: 6.3418e-02 l_d_real: 5.3106e-01 l_d_fake: 5.4549e-01 D_real: 1.8330e+00 D_fake: -2.9766e+00 
21-03-31 18:17:43.026 - INFO: End of epoch 852 / 4238 	 Time Taken: 51.6200 sec
21-03-31 18:18:34.593 - INFO: End of epoch 853 / 4238 	 Time Taken: 51.5669 sec
21-03-31 18:19:01.861 - INFO: <epoch:854, iter: 100,000, lr:5.000e-05, t:85.5983s, td:0.0351s, eta:9510.9218h> pix-l1: 4.9799e-03 contextual: 4.6696e+00 l_g_gan: 1.4356e-01 ms-ssim: 7.5021e-02 l_d_real: 2.4015e-01 l_d_fake: 2.3455e-01 D_real: 1.3641e+01 D_fake: 4.3594e+00 
21-03-31 18:19:02.443 - INFO: Models and training states saved.
21-03-31 18:19:08.258 - INFO: # Validation # PSNR: 30.348, SSIM: 0.81353, LPIPS: 0.056261
21-03-31 18:19:08.258 - INFO: <epoch:854, iter: 100,000> PSNR: 30.348, SSIM: 0.81353, LPIPS: 0.056261
21-03-31 18:19:38.432 - INFO: End of epoch 854 / 4238 	 Time Taken: 63.8379 sec
21-03-31 18:20:41.659 - INFO: End of epoch 855 / 4238 	 Time Taken: 63.2271 sec
21-03-31 18:20:57.292 - INFO: <epoch:856, iter: 100,200, lr:1.000e-04, t:89.2507s, td:0.0352s, eta:9911.7847h> pix-l1: 2.2458e-03 contextual: 4.0803e+00 l_g_gan: 6.3252e-02 ms-ssim: 2.9351e-02 l_d_real: 1.0946e+00 l_d_fake: 1.0958e+00 D_real: -1.1695e+01 D_fake: -1.6844e+01 
21-03-31 18:21:44.893 - INFO: End of epoch 856 / 4238 	 Time Taken: 63.2340 sec
21-03-31 18:22:42.796 - INFO: <epoch:857, iter: 100,400, lr:1.000e-04, t:115.4309s, td:0.0175s, eta:12812.8267h> pix-l1: 3.3902e-03 contextual: 3.5998e+00 l_g_gan: 6.6777e-02 ms-ssim: 7.6121e-02 l_d_real: 1.1116e+00 l_d_fake: 1.1152e+00 D_real: -1.0068e+00 D_fake: -6.5469e+00 
21-03-31 18:22:48.231 - INFO: End of epoch 857 / 4238 	 Time Taken: 63.3380 sec
21-03-31 18:23:51.992 - INFO: End of epoch 858 / 4238 	 Time Taken: 63.7613 sec
21-03-31 18:24:34.723 - INFO: <epoch:859, iter: 100,600, lr:1.000e-04, t:105.5040s, td:0.0356s, eta:11705.0836h> pix-l1: 4.5757e-03 contextual: 4.5903e+00 l_g_gan: 4.7069e-02 ms-ssim: 6.3593e-02 l_d_real: 1.7422e+00 l_d_fake: 1.7597e+00 D_real: 1.2039e+01 D_fake: 8.0156e+00 
21-03-31 18:24:57.557 - INFO: End of epoch 859 / 4238 	 Time Taken: 65.5640 sec
21-03-31 18:26:02.206 - INFO: End of epoch 860 / 4238 	 Time Taken: 64.6495 sec
21-03-31 18:26:25.501 - INFO: <epoch:861, iter: 100,800, lr:1.000e-04, t:111.9273s, td:0.0362s, eta:12411.4971h> pix-l1: 5.6461e-03 contextual: 3.3046e+00 l_g_gan: 1.4852e-01 ms-ssim: 8.5174e-02 l_d_real: 5.7007e-01 l_d_fake: 5.6686e-01 D_real: 6.7539e+00 D_fake: -3.6797e+00 
21-03-31 18:27:06.177 - INFO: End of epoch 861 / 4238 	 Time Taken: 63.9708 sec
21-03-31 18:28:11.822 - INFO: End of epoch 862 / 4238 	 Time Taken: 65.6448 sec
21-03-31 18:28:17.829 - INFO: <epoch:863, iter: 101,000, lr:1.000e-04, t:110.7787s, td:0.0353s, eta:12277.9671h> pix-l1: 3.4720e-03 contextual: 3.6500e+00 l_g_gan: 7.2162e-02 ms-ssim: 6.0016e-02 l_d_real: 8.3279e-01 l_d_fake: 8.3113e-01 D_real: -8.2969e+00 D_fake: -1.3469e+01 
21-03-31 18:28:18.534 - INFO: Models and training states saved.
21-03-31 18:28:24.581 - INFO: # Validation # PSNR: 29.808, SSIM: 0.80878, LPIPS: 0.059834
21-03-31 18:28:24.581 - INFO: <epoch:863, iter: 101,000> PSNR: 29.808, SSIM: 0.80878, LPIPS: 0.059834
21-03-31 18:29:23.937 - INFO: End of epoch 863 / 4238 	 Time Taken: 72.1137 sec
21-03-31 18:30:16.864 - INFO: <epoch:864, iter: 101,200, lr:1.000e-04, t:112.3276s, td:0.0177s, eta:12443.3991h> pix-l1: 5.1527e-03 contextual: 5.7166e+00 l_g_gan: 1.0930e-01 ms-ssim: 9.6188e-02 l_d_real: 1.3284e+00 l_d_fake: 1.3270e+00 D_real: 6.8867e+00 D_fake: -2.9736e-01 
21-03-31 18:30:32.763 - INFO: End of epoch 864 / 4238 	 Time Taken: 68.8260 sec
21-03-31 18:31:37.622 - INFO: End of epoch 865 / 4238 	 Time Taken: 64.8584 sec
21-03-31 18:32:09.388 - INFO: <epoch:866, iter: 101,400, lr:1.000e-04, t:119.0341s, td:0.0358s, eta:13179.7223h> pix-l1: 5.3478e-03 contextual: 4.1952e+00 l_g_gan: 1.6850e-01 ms-ssim: 7.9153e-02 l_d_real: 7.6581e-01 l_d_fake: 7.6745e-01 D_real: 7.7617e+00 D_fake: -4.8281e+00 
21-03-31 18:32:43.215 - INFO: End of epoch 866 / 4238 	 Time Taken: 65.5931 sec
21-03-31 18:33:49.133 - INFO: End of epoch 867 / 4238 	 Time Taken: 65.9177 sec
21-03-31 18:34:03.536 - INFO: <epoch:868, iter: 101,600, lr:1.000e-04, t:112.5247s, td:0.0367s, eta:12452.7362h> pix-l1: 6.3537e-03 contextual: 3.9912e+00 l_g_gan: 1.7973e-01 ms-ssim: 1.1206e-01 l_d_real: 6.2161e-01 l_d_fake: 6.2055e-01 D_real: 2.2000e+01 D_fake: 6.4648e+00 
21-03-31 18:34:57.235 - INFO: End of epoch 868 / 4238 	 Time Taken: 68.1017 sec
21-03-31 18:35:57.049 - INFO: <epoch:869, iter: 101,800, lr:1.000e-04, t:114.1478s, td:0.0179s, eta:12626.0140h> pix-l1: 4.8221e-03 contextual: 5.4991e+00 l_g_gan: 1.0554e-01 ms-ssim: 6.0497e-02 l_d_real: 1.0234e+00 l_d_fake: 1.0207e+00 D_real: 3.3066e+00 D_fake: -6.2070e+00 
21-03-31 18:36:04.781 - INFO: End of epoch 869 / 4238 	 Time Taken: 67.5462 sec
21-03-31 18:37:11.903 - INFO: End of epoch 870 / 4238 	 Time Taken: 67.1219 sec
21-03-31 18:37:51.602 - INFO: <epoch:871, iter: 102,000, lr:1.000e-04, t:113.5124s, td:0.0363s, eta:12549.4315h> pix-l1: 3.8713e-03 contextual: 3.3618e+00 l_g_gan: 1.1417e-01 ms-ssim: 5.9312e-02 l_d_real: 8.0765e-01 l_d_fake: 8.0435e-01 D_real: -9.7891e+00 D_fake: -1.7219e+01 
21-03-31 18:37:52.312 - INFO: Models and training states saved.
21-03-31 18:37:58.510 - INFO: # Validation # PSNR: 29.985, SSIM: 0.80539, LPIPS: 0.055163
21-03-31 18:37:58.510 - INFO: <epoch:871, iter: 102,000> PSNR: 29.985, SSIM: 0.80539, LPIPS: 0.055163
21-03-31 18:38:23.857 - INFO: End of epoch 871 / 4238 	 Time Taken: 71.9538 sec
21-03-31 18:39:29.323 - INFO: End of epoch 872 / 4238 	 Time Taken: 65.4654 sec
21-03-31 18:39:51.287 - INFO: <epoch:873, iter: 102,200, lr:1.000e-04, t:114.5530s, td:0.0357s, eta:12658.1118h> pix-l1: 1.8628e-03 contextual: 2.6316e+00 l_g_gan: 5.9499e-02 ms-ssim: 3.5034e-02 l_d_real: 1.0998e+00 l_d_fake: 1.1049e+00 D_real: -1.5484e+01 D_fake: -1.8875e+01 
21-03-31 18:40:34.548 - INFO: End of epoch 873 / 4238 	 Time Taken: 65.2253 sec
21-03-31 18:41:40.277 - INFO: End of epoch 874 / 4238 	 Time Taken: 65.7287 sec
21-03-31 18:41:44.484 - INFO: <epoch:875, iter: 102,400, lr:1.000e-04, t:119.6852s, td:0.0370s, eta:13218.5673h> pix-l1: 6.6449e-03 contextual: 3.5893e+00 l_g_gan: 8.5536e-02 ms-ssim: 7.0826e-02 l_d_real: 1.2672e+00 l_d_fake: 1.2642e+00 D_real: 1.5977e+01 D_fake: 8.0469e+00 
21-03-31 18:42:46.965 - INFO: End of epoch 875 / 4238 	 Time Taken: 66.6880 sec
21-03-31 18:43:34.765 - INFO: <epoch:876, iter: 102,600, lr:1.000e-04, t:113.1976s, td:0.0185s, eta:12495.7610h> pix-l1: 4.7268e-03 contextual: 5.1506e+00 l_g_gan: 1.2483e-01 ms-ssim: 1.0970e-01 l_d_real: 7.8307e-01 l_d_fake: 7.8538e-01 D_real: 2.1484e+01 D_fake: 9.9219e+00 
21-03-31 18:43:53.524 - INFO: End of epoch 876 / 4238 	 Time Taken: 66.5584 sec
21-03-31 18:45:01.282 - INFO: End of epoch 877 / 4238 	 Time Taken: 67.7584 sec
21-03-31 18:45:31.800 - INFO: <epoch:878, iter: 102,800, lr:1.000e-04, t:110.2800s, td:0.0370s, eta:12167.5653h> pix-l1: 4.8628e-03 contextual: 4.8441e+00 l_g_gan: 1.9732e-01 ms-ssim: 8.3547e-02 l_d_real: 1.3726e-01 l_d_fake: 1.3678e-01 D_real: 8.9141e+00 D_fake: -4.3750e+00 
21-03-31 18:46:06.969 - INFO: End of epoch 878 / 4238 	 Time Taken: 65.6869 sec
21-03-31 18:47:12.590 - INFO: End of epoch 879 / 4238 	 Time Taken: 65.6202 sec
21-03-31 18:47:25.215 - INFO: <epoch:880, iter: 103,000, lr:1.000e-04, t:117.0359s, td:0.0369s, eta:12906.4605h> pix-l1: 3.5132e-03 contextual: 4.3548e+00 l_g_gan: 3.3377e-02 ms-ssim: 6.7655e-02 l_d_real: 1.5678e+00 l_d_fake: 1.5501e+00 D_real: 1.8721e+00 D_fake: 1.9568e-01 
21-03-31 18:47:25.998 - INFO: Models and training states saved.
21-03-31 18:47:32.808 - INFO: # Validation # PSNR: 30.233, SSIM: 0.80412, LPIPS: 0.054815
21-03-31 18:47:32.808 - INFO: <epoch:880, iter: 103,000> PSNR: 30.233, SSIM: 0.80412, LPIPS: 0.054815
21-03-31 18:48:28.718 - INFO: End of epoch 880 / 4238 	 Time Taken: 76.1276 sec
21-03-31 18:49:27.001 - INFO: <epoch:881, iter: 103,200, lr:1.000e-04, t:113.4156s, td:0.0181s, eta:12500.9156h> pix-l1: 2.9438e-03 contextual: 4.4788e+00 l_g_gan: 3.5649e-02 ms-ssim: 5.2729e-02 l_d_real: 1.6108e+00 l_d_fake: 1.6128e+00 D_real: 2.1328e+00 D_fake: -2.8534e-02 
21-03-31 18:49:36.838 - INFO: End of epoch 881 / 4238 	 Time Taken: 68.1199 sec
21-03-31 18:50:43.051 - INFO: End of epoch 882 / 4238 	 Time Taken: 66.2131 sec
21-03-31 18:51:22.103 - INFO: <epoch:883, iter: 103,400, lr:1.000e-04, t:121.7845s, td:0.0369s, eta:13416.5956h> pix-l1: 4.4072e-03 contextual: 4.7425e+00 l_g_gan: 4.6617e-02 ms-ssim: 1.1377e-01 l_d_real: 2.4436e+00 l_d_fake: 2.4343e+00 D_real: 3.8418e+00 D_fake: -1.9250e-01 
21-03-31 18:51:49.506 - INFO: End of epoch 883 / 4238 	 Time Taken: 66.4557 sec
21-03-31 18:52:55.680 - INFO: End of epoch 884 / 4238 	 Time Taken: 66.1729 sec
21-03-31 18:53:15.783 - INFO: <epoch:885, iter: 103,600, lr:1.000e-04, t:115.1029s, td:0.0361s, eta:12674.1050h> pix-l1: 7.5749e-03 contextual: 5.3466e+00 l_g_gan: 1.4262e-01 ms-ssim: 1.9151e-01 l_d_real: 7.0845e-01 l_d_fake: 7.0694e-01 D_real: 1.1562e+00 D_fake: -5.3984e+00 
21-03-31 18:54:01.778 - INFO: End of epoch 885 / 4238 	 Time Taken: 66.0981 sec
21-03-31 18:55:06.609 - INFO: <epoch:886, iter: 103,800, lr:1.000e-04, t:113.6792s, td:0.0183s, eta:12511.0236h> pix-l1: 3.6834e-03 contextual: 3.7691e+00 l_g_gan: 7.5736e-02 ms-ssim: 7.3419e-02 l_d_real: 6.0195e-01 l_d_fake: 6.6042e-01 D_real: 4.5391e+00 D_fake: -8.9990e-01 
21-03-31 18:55:08.566 - INFO: End of epoch 886 / 4238 	 Time Taken: 66.7884 sec
21-03-31 18:56:14.757 - INFO: End of epoch 887 / 4238 	 Time Taken: 66.1904 sec
21-03-31 18:57:01.361 - INFO: <epoch:888, iter: 104,000, lr:1.000e-04, t:110.8260s, td:0.0370s, eta:12190.8613h> pix-l1: 4.6803e-03 contextual: 4.6768e+00 l_g_gan: 1.0509e-01 ms-ssim: 7.9126e-02 l_d_real: 9.0510e-01 l_d_fake: 9.0360e-01 D_real: 1.5833e-01 D_fake: -6.5156e+00 
21-03-31 18:57:02.070 - INFO: Models and training states saved.
21-03-31 18:57:08.283 - INFO: # Validation # PSNR: 29.913, SSIM: 0.80633, LPIPS: 0.057023
21-03-31 18:57:08.283 - INFO: <epoch:888, iter: 104,000> PSNR: 29.913, SSIM: 0.80633, LPIPS: 0.057023
21-03-31 18:57:28.727 - INFO: End of epoch 888 / 4238 	 Time Taken: 73.9698 sec
21-03-31 18:58:34.139 - INFO: End of epoch 889 / 4238 	 Time Taken: 65.4113 sec
21-03-31 18:59:03.002 - INFO: <epoch:890, iter: 104,200, lr:1.000e-04, t:114.7521s, td:0.0366s, eta:12616.3538h> pix-l1: 4.6109e-03 contextual: 4.6029e+00 l_g_gan: 1.7129e-01 ms-ssim: 1.0702e-01 l_d_real: 1.2994e+00 l_d_fake: 1.3032e+00 D_real: 1.2188e+01 D_fake: -2.1133e+00 
21-03-31 18:59:40.524 - INFO: End of epoch 890 / 4238 	 Time Taken: 66.3847 sec
21-03-31 19:00:46.027 - INFO: End of epoch 891 / 4238 	 Time Taken: 65.5032 sec
21-03-31 19:00:55.986 - INFO: <epoch:892, iter: 104,400, lr:1.000e-04, t:121.6417s, td:0.0357s, eta:13367.0719h> pix-l1: 2.2691e-03 contextual: 3.4258e+00 l_g_gan: 4.8026e-02 ms-ssim: 5.7224e-02 l_d_real: 8.3777e-01 l_d_fake: 8.4529e-01 D_real: -7.0195e+00 D_fake: -7.5312e+00 
21-03-31 19:01:49.896 - INFO: End of epoch 892 / 4238 	 Time Taken: 63.8686 sec
21-03-31 19:02:41.631 - INFO: <epoch:893, iter: 104,600, lr:1.000e-04, t:112.9834s, td:0.0176s, eta:12409.3485h> pix-l1: 5.6891e-03 contextual: 3.9651e+00 l_g_gan: 6.0483e-02 ms-ssim: 1.2686e-01 l_d_real: 8.5527e-01 l_d_fake: 8.5379e-01 D_real: 9.8750e+00 D_fake: 5.5273e+00 
21-03-31 19:02:53.112 - INFO: End of epoch 893 / 4238 	 Time Taken: 63.2157 sec
21-03-31 19:03:56.512 - INFO: End of epoch 894 / 4238 	 Time Taken: 63.3993 sec
21-03-31 19:04:31.575 - INFO: <epoch:895, iter: 104,800, lr:1.000e-04, t:105.6456s, td:0.0353s, eta:11597.5369h> pix-l1: 4.4845e-03 contextual: 4.9951e+00 l_g_gan: 1.5962e-01 ms-ssim: 8.2247e-02 l_d_real: 6.5214e-01 l_d_fake: 6.5251e-01 D_real: 1.2578e+00 D_fake: -9.0625e+00 
21-03-31 19:05:01.910 - INFO: End of epoch 895 / 4238 	 Time Taken: 65.3981 sec
21-03-31 19:06:08.877 - INFO: End of epoch 896 / 4238 	 Time Taken: 66.9664 sec
21-03-31 19:06:27.000 - INFO: <epoch:897, iter: 105,000, lr:1.000e-04, t:109.9439s, td:0.0363s, eta:12063.2903h> pix-l1: 3.9370e-03 contextual: 3.0591e+00 l_g_gan: 1.3501e-01 ms-ssim: 5.1460e-02 l_d_real: 8.4928e-01 l_d_fake: 8.4987e-01 D_real: -1.8213e+00 D_fake: -1.1086e+01 
21-03-31 19:06:27.785 - INFO: Models and training states saved.
21-03-31 19:06:34.180 - INFO: # Validation # PSNR: 30.277, SSIM: 0.80716, LPIPS: 0.05699
21-03-31 19:06:34.180 - INFO: <epoch:897, iter: 105,000> PSNR: 30.277, SSIM: 0.80716, LPIPS: 0.05699
21-03-31 19:07:21.478 - INFO: End of epoch 897 / 4238 	 Time Taken: 72.6018 sec
21-03-31 19:08:21.477 - INFO: <epoch:898, iter: 105,200, lr:1.000e-04, t:115.4243s, td:0.0178s, eta:12658.1969h> pix-l1: 2.8279e-03 contextual: 3.1293e+00 l_g_gan: 7.1512e-02 ms-ssim: 7.2096e-02 l_d_real: 2.0613e+00 l_d_fake: 2.0621e+00 D_real: -6.2227e+00 D_fake: -1.3203e+01 
21-03-31 19:08:25.348 - INFO: End of epoch 898 / 4238 	 Time Taken: 63.8692 sec
21-03-31 19:09:29.074 - INFO: End of epoch 899 / 4238 	 Time Taken: 63.7261 sec
21-03-31 19:10:11.331 - INFO: <epoch:900, iter: 105,400, lr:1.000e-04, t:114.4784s, td:0.0355s, eta:12548.0996h> pix-l1: 6.8942e-03 contextual: 5.4532e+00 l_g_gan: 9.0650e-02 ms-ssim: 1.2217e-01 l_d_real: 7.1821e-01 l_d_fake: 7.1563e-01 D_real: 1.6469e+01 D_fake: 9.1641e+00 
21-03-31 19:10:17.049 - INFO: Training interrupted. Latest models and training states saved.