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esrgan_sourcebook_v2_x2/models/net_d_15000.pth

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esrgan_sourcebook_v2_x2/train_esrgan_sourcebook_v2_2x_20250514_143725.toml

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+# GENERATE TIME: Wed May 14 14:37:25 2025
+# CMD:
+# train.py -opt /workspace/train_esrgan_sourcebook_v2_2x.toml
+
+
+name = "esrgan_sourcebook_v2_x2"
+model_type = "image"
+scale = 2
+use_amp = true
+bfloat16 = true
+fast_matmul = true
+#compile = true
+#manual_seed = 1024
+
+[datasets.train]
+type = "paired"
+dataroot_gt = '/neosr/sourcebook/sourcebook_hr'
+dataroot_lq = '/neosr/sourcebook/sourcebook_lr'
+patch_size = 64
+batch_size = 16
+#accumulate = 1
+augmentation = [ "none", "mixup", "cutmix", "resizemix", "cutblur" ]
+aug_prob = [ 0.5, 0.1, 0.1, 0.1, 0.5 ]
+
+[datasets.val]
+name = "val"
+type = "paired"
+dataroot_gt = '/neosr/sourcebook/var/gt'
+dataroot_lq = '/neosr/sourcebook/var/lr'
+[val]
+val_freq = 1000
+#tile = 200
+#[val.metrics.psnr]
+#type = "calculate_psnr"
+#[val.metrics.ssim]
+#type = "calculate_ssim"
+#[val.metrics.dists]
+#type = "calculate_dists"
+#better = "lower"
+#[val.metrics.topiq]
+#type = "calculate_topiq"
+
+[path]
+pretrain_network_g = '/neosr/RealESRGAN_x2plus.pth'
+# pretrain_network_d = '/neosr/RealESRGAN_x2plus_netD.pth'
+
+[network_g]
+type = "esrgan"
+
+[network_d]
+type = "metagan"
+
+[train]
+ema = 0.999
+clamp = false
+wavelet_guided = true
+wavelet_init = 80000
+#sam = "fsam"
+#sam_init = 1000
+#eco = true
+#eco_init = 15000
+#match_lq_colors = true
+
+[train.optim_g]
+type = "adan_sf"
+lr = 8e-4
+betas = [ 0.98, 0.92, 0.99 ]
+weight_decay = 0.01
+schedule_free = true
+warmup_steps = 1600
+
+[train.optim_d]
+type = "adan_sf"
+lr = 1e-4
+betas = [ 0.98, 0.92, 0.99 ]
+weight_decay = 0.01
+schedule_free = true
+warmup_steps = 600
+
+#  losses
+[train.mssim_opt]
+type = "mssim_loss"
+loss_weight = 1.0
+
+[train.consistency_opt]
+type = "consistency_loss"
+loss_weight = 1.0
+
+[train.ldl_opt]
+type = "ldl_loss"
+loss_weight = 1.0
+
+[train.fdl_opt]
+type = "fdl_loss"
+model = "dinov2" # "vgg", "resnet", "effnet"
+loss_weight = 0.75
+
+[train.gan_opt]
+type = "gan_loss"
+gan_type = "bce"
+loss_weight = 0.3
+
+#[train.msswd_opt]
+#type = "msswd_loss"
+#loss_weight = 1.0
+
+#[train.perceptual_opt]
+#type = "vgg_perceptual_loss"
+#loss_weight = 0.5
+#criterion = "huber"
+##patchloss = true
+##ipk = true
+##patch_weight = 1.0
+
+#[train.dists_opt]
+#type = "dists_loss"
+#loss_weight = 0.5
+
+#[train.ff_opt]
+#type = "ff_loss"
+#loss_weight = 0.35
+
+#[train.ncc_opt]
+#type = "ncc_loss"
+#loss_weight = 1.0
+
+#[train.kl_opt]
+#type = "kl_loss"
+#loss_weight = 1.0
+
+[logger]
+total_iter = 200000
+save_checkpoint_freq = 1000
+use_tb_logger = true
+#save_tb_img = true
+print_freq = 200

esrgan_sourcebook_v2_x2/train_esrgan_sourcebook_v2_x2_20250514_143725.log

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+2025-05-14 14:37:25,241 INFO: 
+------------------------ neosr ------------------------
+Pytorch Version: 2.7.0+cu126. Running on gpu NVIDIA H20, with driver 535.216.01.
+2025-05-14 14:37:25,745 INFO: Dataset [paired] is built.
+2025-05-14 14:37:25,746 INFO: Training informations:
+-------- Starting model: esrgan_sourcebook_v2_x2
+-------- GPUs detected: 1
+-------- Patch size: 64
+-------- Dataset size: 1246
+-------- Batch size per gpu: 16
+-------- Accumulated batches: 16
+-------- Required iters per epoch: 78
+-------- Total epochs 2565 for total iters 200000.
+2025-05-14 14:37:25,746 INFO: Dataset [paired] is built.
+2025-05-14 14:37:25,746 INFO: Number of val images/folders: 1
+2025-05-14 14:37:26,110 INFO: Using network [esrgan].
+2025-05-14 14:37:26,247 INFO: Using network [metagan].
+2025-05-14 14:37:26,389 INFO: Loading esrgan model from /neosr/RealESRGAN_x2plus.pth, with param key: [params_ema].
+2025-05-14 14:37:26,771 INFO: Using exponential-moving average.
+2025-05-14 14:37:26,964 INFO: Loss [mssim_loss] enabled.
+2025-05-14 14:38:40,228 INFO: Loss [fdl_loss] enabled.
+2025-05-14 14:38:40,232 INFO: Loss [consistency_loss] enabled.
+2025-05-14 14:38:40,232 INFO: Loss [gan_loss] enabled.
+2025-05-14 14:38:40,232 INFO: Loss [ldl_loss] enabled.
+2025-05-14 14:38:40,232 INFO: Loss [wavelet-guided] enabled.
+2025-05-14 14:38:40,232 INFO: Using model [image].
+2025-05-14 14:38:40,459 INFO: AMP enabled with BF16.
+2025-05-14 14:38:40,459 INFO: Start training from epoch: 0, iter: 0
+2025-05-14 14:39:39,914 INFO: [ epoch:   2 ] [ iter:    200 ] [ performance: 3.364 it/s ] [ lr: 8.00e-04 ] [ eta: 14:50:41 ] [ l_g_mssim: 4.4019e-02 ] [ l_g_fdl: 9.6994e+00 ] [ l_g_consistency: 3.3887e-02 ] [ l_g_ldl: 2.1769e-02 ] [ l_g_gan: 2.5044e-01 ] [ l_g_total: 1.0049e+01 ] [ l_d_real: 7.8656e-01 ] [ out_d_real: 7.9297e-01 ] [ l_d_fake: 1.3739e+00 ] [ out_d_fake: 5.3906e-01 ] [ l_d_total: 1.0802e+00 ] 
+2025-05-14 14:40:34,633 INFO: [ epoch:   5 ] [ iter:    400 ] [ performance: 3.655 it/s ] [ lr: 8.00e-04 ] [ eta: 15:00:00 ] [ l_g_mssim: 2.9405e-02 ] [ l_g_fdl: 9.3733e+00 ] [ l_g_consistency: 2.1777e-02 ] [ l_g_ldl: 4.7565e-03 ] [ l_g_gan: 3.7001e-01 ] [ l_g_total: 9.7993e+00 ] [ l_d_real: 9.7508e-01 ] [ out_d_real: -3.5547e-01 ] [ l_d_fake: 4.6876e-01 ] [ out_d_fake: -7.6562e-01 ] [ l_d_total: 7.2192e-01 ] 
+2025-05-14 14:41:32,903 INFO: [ epoch:   7 ] [ iter:    600 ] [ performance: 3.432 it/s ] [ lr: 8.00e-04 ] [ eta: 15:22:11 ] [ l_g_mssim: 2.9280e-02 ] [ l_g_fdl: 9.1557e+00 ] [ l_g_consistency: 1.9686e-02 ] [ l_g_ldl: 2.7789e-03 ] [ l_g_gan: 6.4092e-01 ] [ l_g_total: 9.8484e+00 ] [ l_d_real: 8.8880e-01 ] [ out_d_real: -1.5137e-01 ] [ l_d_fake: 2.0926e-01 ] [ out_d_fake: -1.9297e+00 ] [ l_d_total: 5.4903e-01 ] 
+2025-05-14 14:42:29,940 INFO: [ epoch:  10 ] [ iter:    800 ] [ performance: 3.507 it/s ] [ lr: 8.00e-04 ] [ eta: 15:27:39 ] [ l_g_mssim: 2.6856e-02 ] [ l_g_fdl: 8.3652e+00 ] [ l_g_consistency: 2.6228e-02 ] [ l_g_ldl: 1.0811e-02 ] [ l_g_gan: 6.4228e-01 ] [ l_g_total: 9.0714e+00 ] [ l_d_real: 5.8828e-01 ] [ out_d_real: 6.5625e-01 ] [ l_d_fake: 2.2107e-01 ] [ out_d_fake: -1.9219e+00 ] [ l_d_total: 4.0468e-01 ] 
+2025-05-14 14:43:28,751 INFO: [ epoch:  12 ] [ iter:  1,000 ] [ performance: 3.401 it/s ] [ lr: 8.00e-04 ] [ eta: 15:36:26 ] [ l_g_mssim: 3.0797e-02 ] [ l_g_fdl: 8.6391e+00 ] [ l_g_consistency: 2.6492e-02 ] [ l_g_ldl: 1.4680e-02 ] [ l_g_gan: 7.6840e-01 ] [ l_g_total: 9.4794e+00 ] [ l_d_real: 1.0569e+00 ] [ out_d_real: 2.5391e-01 ] [ l_d_fake: 1.8153e-01 ] [ out_d_fake: -2.3750e+00 ] [ l_d_total: 6.1924e-01 ] 
+2025-05-14 14:43:28,752 INFO: Saving models and training states.
+2025-05-14 14:45:08,629 INFO: [ epoch:  15 ] [ iter:  1,200 ] [ performance: 3.611 it/s ] [ lr: 8.00e-04 ] [ eta: 17:35:27 ] [ l_g_mssim: 3.0482e-02 ] [ l_g_fdl: 8.6157e+00 ] [ l_g_consistency: 2.2973e-02 ] [ l_g_ldl: 1.0720e-02 ] [ l_g_gan: 5.6949e-01 ] [ l_g_total: 9.2494e+00 ] [ l_d_real: 4.2586e-01 ] [ out_d_real: 3.3125e+00 ] [ l_d_fake: 4.2297e-01 ] [ out_d_fake: -1.4766e+00 ] [ l_d_total: 4.2441e-01 ] 
+2025-05-14 14:46:06,324 INFO: [ epoch:  18 ] [ iter:  1,400 ] [ performance: 3.460 it/s ] [ lr: 8.00e-04 ] [ eta: 17:20:10 ] [ l_g_mssim: 2.6776e-02 ] [ l_g_fdl: 8.2707e+00 ] [ l_g_consistency: 2.4779e-02 ] [ l_g_ldl: 1.3801e-02 ] [ l_g_gan: 1.1137e+00 ] [ l_g_total: 9.4498e+00 ] [ l_d_real: 9.0350e-02 ] [ out_d_real: 4.5625e+00 ] [ l_d_fake: 1.2143e-01 ] [ out_d_fake: -3.5938e+00 ] [ l_d_total: 1.0589e-01 ] 
+2025-05-14 14:47:03,358 INFO: [ epoch:  20 ] [ iter:  1,600 ] [ performance: 3.502 it/s ] [ lr: 8.00e-04 ] [ eta: 17:07:05 ] [ l_g_mssim: 2.1253e-02 ] [ l_g_fdl: 8.8880e+00 ] [ l_g_consistency: 1.4684e-02 ] [ l_g_ldl: 2.6433e-03 ] [ l_g_gan: 2.6042e+00 ] [ l_g_total: 1.1531e+01 ] [ l_d_real: 2.9770e+00 ] [ out_d_real: -6.8750e-01 ] [ l_d_fake: 4.5510e-04 ] [ out_d_fake: -8.6875e+00 ] [ l_d_total: 1.4887e+00 ] 
+2025-05-14 14:48:01,570 INFO: [ epoch:  23 ] [ iter:  1,800 ] [ performance: 3.442 it/s ] [ lr: 8.00e-04 ] [ eta: 16:58:52 ] [ l_g_mssim: 1.8366e-02 ] [ l_g_fdl: 8.0745e+00 ] [ l_g_consistency: 2.4392e-02 ] [ l_g_ldl: 5.0500e-03 ] [ l_g_gan: 1.2101e+00 ] [ l_g_total: 9.3324e+00 ] [ l_d_real: 1.7900e-01 ] [ out_d_real: 7.4375e+00 ] [ l_d_fake: 2.6747e-02 ] [ out_d_fake: -4.0000e+00 ] [ l_d_total: 1.0288e-01 ] 
+2025-05-14 14:48:58,570 INFO: [ epoch:  25 ] [ iter:  2,000 ] [ performance: 3.508 it/s ] [ lr: 8.00e-04 ] [ eta: 16:50:06 ] [ l_g_mssim: 2.1152e-02 ] [ l_g_fdl: 8.3359e+00 ] [ l_g_consistency: 2.3439e-02 ] [ l_g_ldl: 6.8515e-03 ] [ l_g_gan: 1.1989e+00 ] [ l_g_total: 9.5862e+00 ] [ l_d_real: 1.8166e-01 ] [ out_d_real: 4.7188e+00 ] [ l_d_fake: 3.4087e-01 ] [ out_d_fake: -3.6562e+00 ] [ l_d_total: 2.6126e-01 ] 
+2025-05-14 14:48:58,570 INFO: Saving models and training states.
+2025-05-14 14:49:59,354 INFO: [ epoch:  28 ] [ iter:  2,200 ] [ performance: 3.490 it/s ] [ lr: 8.00e-04 ] [ eta: 16:48:26 ] [ l_g_mssim: 1.4187e-02 ] [ l_g_fdl: 7.6897e+00 ] [ l_g_consistency: 1.8318e-02 ] [ l_g_ldl: 3.7111e-03 ] [ l_g_gan: 1.8238e-01 ] [ l_g_total: 7.9083e+00 ] [ l_d_real: 4.5353e-01 ] [ out_d_real: 8.3203e-01 ] [ l_d_fake: 9.8922e-01 ] [ out_d_fake: 3.8086e-01 ] [ l_d_total: 7.2137e-01 ] 
+2025-05-14 14:50:57,768 INFO: [ epoch:  31 ] [ iter:  2,400 ] [ performance: 3.416 it/s ] [ lr: 8.00e-04 ] [ eta: 16:43:37 ] [ l_g_mssim: 3.2466e-02 ] [ l_g_fdl: 8.6163e+00 ] [ l_g_consistency: 2.5390e-02 ] [ l_g_ldl: 1.4809e-02 ] [ l_g_gan: 5.1720e-01 ] [ l_g_total: 9.2062e+00 ] [ l_d_real: 2.6226e-01 ] [ out_d_real: 2.3125e+00 ] [ l_d_fake: 4.0595e-01 ] [ out_d_fake: -1.3203e+00 ] [ l_d_total: 3.3410e-01 ] 
+2025-05-14 14:51:55,832 INFO: [ epoch:  33 ] [ iter:  2,600 ] [ performance: 3.441 it/s ] [ lr: 8.00e-04 ] [ eta: 16:38:57 ] [ l_g_mssim: 2.8616e-02 ] [ l_g_fdl: 9.2630e+00 ] [ l_g_consistency: 1.9047e-02 ] [ l_g_ldl: 3.7322e-03 ] [ l_g_gan: 1.0088e+00 ] [ l_g_total: 1.0323e+01 ] [ l_d_real: 5.6066e-02 ] [ out_d_real: 7.0938e+00 ] [ l_d_fake: 5.7635e-02 ] [ out_d_fake: -3.3125e+00 ] [ l_d_total: 5.6851e-02 ] 
+2025-05-14 14:52:52,125 INFO: [ epoch:  36 ] [ iter:  2,800 ] [ performance: 3.555 it/s ] [ lr: 8.00e-04 ] [ eta: 16:32:44 ] [ l_g_mssim: 4.0764e-02 ] [ l_g_fdl: 8.6287e+00 ] [ l_g_consistency: 2.6253e-02 ] [ l_g_ldl: 2.1154e-02 ] [ l_g_gan: 1.3096e+00 ] [ l_g_total: 1.0026e+01 ] [ l_d_real: 6.4609e-01 ] [ out_d_real: 1.9922e+00 ] [ l_d_fake: 1.0134e-01 ] [ out_d_fake: -4.2500e+00 ] [ l_d_total: 3.7371e-01 ] 
+2025-05-14 14:53:48,974 INFO: [ epoch:  38 ] [ iter:  3,000 ] [ performance: 3.507 it/s ] [ lr: 8.00e-04 ] [ eta: 16:27:49 ] [ l_g_mssim: 2.8448e-02 ] [ l_g_fdl: 8.1798e+00 ] [ l_g_consistency: 2.4985e-02 ] [ l_g_ldl: 1.3625e-02 ] [ l_g_gan: 1.2671e+00 ] [ l_g_total: 9.5139e+00 ] [ l_d_real: 2.6245e-01 ] [ out_d_real: 4.6250e+00 ] [ l_d_fake: 2.6184e-02 ] [ out_d_fake: -4.1875e+00 ] [ l_d_total: 1.4432e-01 ] 
+2025-05-14 14:53:48,974 INFO: Saving models and training states.
+2025-05-14 14:54:54,790 INFO: [ epoch:  41 ] [ iter:  3,200 ] [ performance: 3.402 it/s ] [ lr: 8.00e-04 ] [ eta: 16:32:36 ] [ l_g_mssim: 2.7990e-02 ] [ l_g_fdl: 8.3896e+00 ] [ l_g_consistency: 2.0667e-02 ] [ l_g_ldl: 1.4416e-02 ] [ l_g_gan: 1.1596e+00 ] [ l_g_total: 9.6123e+00 ] [ l_d_real: 2.3894e-02 ] [ out_d_real: 6.0000e+00 ] [ l_d_fake: 1.3983e-01 ] [ out_d_fake: -3.7188e+00 ] [ l_d_total: 8.1863e-02 ] 
+2025-05-14 14:55:52,455 INFO: [ epoch:  44 ] [ iter:  3,400 ] [ performance: 3.459 it/s ] [ lr: 8.00e-04 ] [ eta: 16:28:50 ] [ l_g_mssim: 2.3692e-02 ] [ l_g_fdl: 9.1781e+00 ] [ l_g_consistency: 2.0360e-02 ] [ l_g_ldl: 3.5725e-03 ] [ l_g_gan: 1.0570e+00 ] [ l_g_total: 1.0283e+01 ] [ l_d_real: 8.0513e-04 ] [ out_d_real: 9.1250e+00 ] [ l_d_fake: 3.2880e-02 ] [ out_d_fake: -3.4844e+00 ] [ l_d_total: 1.6842e-02 ] 
+2025-05-14 14:56:49,106 INFO: [ epoch:  46 ] [ iter:  3,600 ] [ performance: 3.528 it/s ] [ lr: 8.00e-04 ] [ eta: 16:24:28 ] [ l_g_mssim: 2.5156e-02 ] [ l_g_fdl: 9.0367e+00 ] [ l_g_consistency: 1.8671e-02 ] [ l_g_ldl: 3.3646e-03 ] [ l_g_gan: 2.1694e+00 ] [ l_g_total: 1.1253e+01 ] [ l_d_real: 1.1861e+00 ] [ out_d_real: 2.4688e+00 ] [ l_d_fake: 5.0470e-02 ] [ out_d_fake: -7.1875e+00 ] [ l_d_total: 6.1830e-01 ] 
+2025-05-14 14:57:46,347 INFO: [ epoch:  49 ] [ iter:  3,800 ] [ performance: 3.475 it/s ] [ lr: 8.00e-04 ] [ eta: 16:20:57 ] [ l_g_mssim: 2.5790e-02 ] [ l_g_fdl: 8.5449e+00 ] [ l_g_consistency: 2.4785e-02 ] [ l_g_ldl: 9.6760e-03 ] [ l_g_gan: 1.0600e+00 ] [ l_g_total: 9.6652e+00 ] [ l_d_real: 1.7029e-02 ] [ out_d_real: 6.6250e+00 ] [ l_d_fake: 5.0086e-02 ] [ out_d_fake: -3.4844e+00 ] [ l_d_total: 3.3557e-02 ] 
+2025-05-14 14:58:42,353 INFO: [ epoch:  51 ] [ iter:  4,000 ] [ performance: 3.540 it/s ] [ lr: 8.00e-04 ] [ eta: 16:16:42 ] [ l_g_mssim: 2.0194e-02 ] [ l_g_fdl: 7.6189e+00 ] [ l_g_consistency: 2.3643e-02 ] [ l_g_ldl: 7.9525e-03 ] [ l_g_gan: 1.5531e+00 ] [ l_g_total: 9.2238e+00 ] [ l_d_real: 7.2596e-02 ] [ out_d_real: 4.5625e+00 ] [ l_d_fake: 3.5123e-02 ] [ out_d_fake: -5.1562e+00 ] [ l_d_total: 5.3860e-02 ] 
+2025-05-14 14:58:42,353 INFO: Saving models and training states.
+2025-05-14 14:59:45,319 INFO: [ epoch:  54 ] [ iter:  4,200 ] [ performance: 3.488 it/s ] [ lr: 8.00e-04 ] [ eta: 16:18:09 ] [ l_g_mssim: 2.6611e-02 ] [ l_g_fdl: 8.3445e+00 ] [ l_g_consistency: 2.0258e-02 ] [ l_g_ldl: 8.6048e-03 ] [ l_g_gan: 1.7910e+00 ] [ l_g_total: 1.0191e+01 ] [ l_d_real: 7.8507e-04 ] [ out_d_real: 7.8438e+00 ] [ l_d_fake: 9.6300e-02 ] [ out_d_fake: -5.8750e+00 ] [ l_d_total: 4.8543e-02 ] 
+2025-05-14 15:00:43,804 INFO: [ epoch:  57 ] [ iter:  4,400 ] [ performance: 3.399 it/s ] [ lr: 8.00e-04 ] [ eta: 16:16:04 ] [ l_g_mssim: 3.1633e-02 ] [ l_g_fdl: 8.4035e+00 ] [ l_g_consistency: 2.9442e-02 ] [ l_g_ldl: 1.4026e-02 ] [ l_g_gan: 2.7258e+00 ] [ l_g_total: 1.1204e+01 ] [ l_d_real: 5.2920e-01 ] [ out_d_real: 7.6875e+00 ] [ l_d_fake: 4.2950e-04 ] [ out_d_fake: -9.0625e+00 ] [ l_d_total: 2.6482e-01 ] 
+2025-05-14 15:01:43,140 INFO: [ epoch:  59 ] [ iter:  4,600 ] [ performance: 3.492 it/s ] [ lr: 8.00e-04 ] [ eta: 16:14:41 ] [ l_g_mssim: 2.9099e-02 ] [ l_g_fdl: 8.4231e+00 ] [ l_g_consistency: 2.2040e-02 ] [ l_g_ldl: 1.0664e-02 ] [ l_g_gan: 1.2207e+00 ] [ l_g_total: 9.7056e+00 ] [ l_d_real: 4.8256e-01 ] [ out_d_real: 4.7500e+00 ] [ l_d_fake: 2.4116e-01 ] [ out_d_fake: -3.8281e+00 ] [ l_d_total: 3.6186e-01 ] 
+2025-05-14 15:02:39,941 INFO: [ epoch:  62 ] [ iter:  4,800 ] [ performance: 3.559 it/s ] [ lr: 8.00e-04 ] [ eta: 16:11:37 ] [ l_g_mssim: 2.1620e-02 ] [ l_g_fdl: 7.9938e+00 ] [ l_g_consistency: 1.9903e-02 ] [ l_g_ldl: 8.3292e-03 ] [ l_g_gan: 1.0823e+00 ] [ l_g_total: 9.1260e+00 ] [ l_d_real: 5.8773e-02 ] [ out_d_real: 5.9375e+00 ] [ l_d_fake: 2.8960e-01 ] [ out_d_fake: -3.3125e+00 ] [ l_d_total: 1.7419e-01 ] 
+2025-05-14 15:03:36,708 INFO: [ epoch:  64 ] [ iter:  5,000 ] [ performance: 3.491 it/s ] [ lr: 8.00e-04 ] [ eta: 16:08:42 ] [ l_g_mssim: 3.7242e-02 ] [ l_g_fdl: 8.4320e+00 ] [ l_g_consistency: 2.3060e-02 ] [ l_g_ldl: 2.0360e-02 ] [ l_g_gan: 1.3447e+00 ] [ l_g_total: 9.8573e+00 ] [ l_d_real: 3.0377e-01 ] [ out_d_real: 5.2188e+00 ] [ l_d_fake: 1.2864e-01 ] [ out_d_fake: -4.3438e+00 ] [ l_d_total: 2.1621e-01 ] 
+2025-05-14 15:03:36,708 INFO: Saving models and training states.
+2025-05-14 15:04:43,994 INFO: [ epoch:  67 ] [ iter:  5,200 ] [ performance: 3.598 it/s ] [ lr: 8.00e-04 ] [ eta: 16:12:30 ] [ l_g_mssim: 1.6210e-02 ] [ l_g_fdl: 7.7136e+00 ] [ l_g_consistency: 2.0153e-02 ] [ l_g_ldl: 5.4045e-03 ] [ l_g_gan: 2.3245e+00 ] [ l_g_total: 1.0080e+01 ] [ l_d_real: 2.6099e-01 ] [ out_d_real: 5.5000e+00 ] [ l_d_fake: 2.9580e-01 ] [ out_d_fake: -7.4375e+00 ] [ l_d_total: 2.7840e-01 ] 
+2025-05-14 15:05:41,303 INFO: [ epoch:  70 ] [ iter:  5,400 ] [ performance: 3.509 it/s ] [ lr: 8.00e-04 ] [ eta: 16:09:56 ] [ l_g_mssim: 3.3468e-02 ] [ l_g_fdl: 8.3243e+00 ] [ l_g_consistency: 2.6461e-02 ] [ l_g_ldl: 1.6379e-02 ] [ l_g_gan: 7.8291e-01 ] [ l_g_total: 9.1836e+00 ] [ l_d_real: 7.4472e-02 ] [ out_d_real: 5.7812e+00 ] [ l_d_fake: 3.1111e-01 ] [ out_d_fake: -2.2969e+00 ] [ l_d_total: 1.9279e-01 ] 
+2025-05-14 15:06:37,832 INFO: [ epoch:  72 ] [ iter:  5,600 ] [ performance: 3.517 it/s ] [ lr: 8.00e-04 ] [ eta: 16:07:02 ] [ l_g_mssim: 2.3443e-02 ] [ l_g_fdl: 9.0451e+00 ] [ l_g_consistency: 1.6481e-02 ] [ l_g_ldl: 2.5151e-03 ] [ l_g_gan: 2.0786e+00 ] [ l_g_total: 1.1166e+01 ] [ l_d_real: 6.6522e-01 ] [ out_d_real: 4.3750e+00 ] [ l_d_fake: 1.4643e-02 ] [ out_d_fake: -6.9062e+00 ] [ l_d_total: 3.3993e-01 ] 
+2025-05-14 15:07:36,157 INFO: [ epoch:  75 ] [ iter:  5,800 ] [ performance: 3.435 it/s ] [ lr: 8.00e-04 ] [ eta: 16:05:17 ] [ l_g_mssim: 3.1954e-02 ] [ l_g_fdl: 8.6610e+00 ] [ l_g_consistency: 2.6252e-02 ] [ l_g_ldl: 1.5777e-02 ] [ l_g_gan: 5.7378e-01 ] [ l_g_total: 9.3088e+00 ] [ l_d_real: 1.1041e-02 ] [ out_d_real: 4.9062e+00 ] [ l_d_fake: 1.7482e+00 ] [ out_d_fake: -1.6406e-01 ] [ l_d_total: 8.7963e-01 ] 
+2025-05-14 15:08:33,738 INFO: [ epoch:  77 ] [ iter:  6,000 ] [ performance: 3.447 it/s ] [ lr: 8.00e-04 ] [ eta: 16:03:10 ] [ l_g_mssim: 3.3494e-02 ] [ l_g_fdl: 8.2387e+00 ] [ l_g_consistency: 2.3554e-02 ] [ l_g_ldl: 1.5959e-02 ] [ l_g_gan: 2.0075e+00 ] [ l_g_total: 1.0319e+01 ] [ l_d_real: 2.4185e-01 ] [ out_d_real: 6.2188e+00 ] [ l_d_fake: 2.5825e-03 ] [ out_d_fake: -6.6875e+00 ] [ l_d_total: 1.2221e-01 ] 
+2025-05-14 15:08:33,738 INFO: Saving models and training states.
+2025-05-14 15:09:38,423 INFO: [ epoch:  80 ] [ iter:  6,200 ] [ performance: 3.420 it/s ] [ lr: 8.00e-04 ] [ eta: 16:04:50 ] [ l_g_mssim: 2.1459e-02 ] [ l_g_fdl: 7.8569e+00 ] [ l_g_consistency: 1.7717e-02 ] [ l_g_ldl: 7.8575e-03 ] [ l_g_gan: 2.3723e+00 ] [ l_g_total: 1.0276e+01 ] [ l_d_real: 7.1587e-04 ] [ out_d_real: 8.1250e+00 ] [ l_d_fake: 4.9695e-01 ] [ out_d_fake: -7.4062e+00 ] [ l_d_total: 2.4883e-01 ] 
+2025-05-14 15:10:36,244 INFO: [ epoch:  83 ] [ iter:  6,400 ] [ performance: 3.449 it/s ] [ lr: 8.00e-04 ] [ eta: 16:02:52 ] [ l_g_mssim: 1.9713e-02 ] [ l_g_fdl: 8.0018e+00 ] [ l_g_consistency: 2.7909e-02 ] [ l_g_ldl: 7.9485e-03 ] [ l_g_gan: 1.4669e+00 ] [ l_g_total: 9.5243e+00 ] [ l_d_real: 2.1505e-01 ] [ out_d_real: 7.5625e+00 ] [ l_d_fake: 8.7833e-02 ] [ out_d_fake: -4.8125e+00 ] [ l_d_total: 1.5144e-01 ] 
+2025-05-14 15:11:36,637 INFO: [ epoch:  85 ] [ iter:  6,600 ] [ performance: 3.303 it/s ] [ lr: 8.00e-04 ] [ eta: 16:02:13 ] [ l_g_mssim: 3.0312e-02 ] [ l_g_fdl: 8.3319e+00 ] [ l_g_consistency: 2.4730e-02 ] [ l_g_ldl: 1.2308e-02 ] [ l_g_gan: 2.1127e+00 ] [ l_g_total: 1.0512e+01 ] [ l_d_real: 3.1243e-02 ] [ out_d_real: 5.9688e+00 ] [ l_d_fake: 6.3329e-02 ] [ out_d_fake: -6.9688e+00 ] [ l_d_total: 4.7286e-02 ] 
+2025-05-14 15:12:36,687 INFO: [ epoch:  88 ] [ iter:  6,800 ] [ performance: 3.317 it/s ] [ lr: 8.00e-04 ] [ eta: 16:01:24 ] [ l_g_mssim: 2.2926e-02 ] [ l_g_fdl: 8.5112e+00 ] [ l_g_consistency: 2.0346e-02 ] [ l_g_ldl: 1.1386e-02 ] [ l_g_gan: 1.1574e+00 ] [ l_g_total: 9.7233e+00 ] [ l_d_real: 1.6397e-01 ] [ out_d_real: 5.0625e+00 ] [ l_d_fake: 7.7586e-01 ] [ out_d_fake: -3.0781e+00 ] [ l_d_total: 4.6992e-01 ] 
+2025-05-14 15:13:38,650 INFO: [ epoch:  90 ] [ iter:  7,000 ] [ performance: 3.179 it/s ] [ lr: 8.00e-04 ] [ eta: 16:01:26 ] [ l_g_mssim: 2.4677e-02 ] [ l_g_fdl: 7.9498e+00 ] [ l_g_consistency: 1.7700e-02 ] [ l_g_ldl: 9.4516e-03 ] [ l_g_gan: 2.3399e+00 ] [ l_g_total: 1.0342e+01 ] [ l_d_real: 4.5886e-02 ] [ out_d_real: 9.3750e+00 ] [ l_d_fake: 6.0142e-03 ] [ out_d_fake: -7.7812e+00 ] [ l_d_total: 2.5950e-02 ] 
+2025-05-14 15:13:38,650 INFO: Saving models and training states.
+2025-05-14 15:14:42,098 INFO: [ epoch:  93 ] [ iter:  7,200 ] [ performance: 3.362 it/s ] [ lr: 8.00e-04 ] [ eta: 16:02:04 ] [ l_g_mssim: 1.5078e-02 ] [ l_g_fdl: 7.5527e+00 ] [ l_g_consistency: 1.8987e-02 ] [ l_g_ldl: 5.0759e-03 ] [ l_g_gan: 8.1597e-01 ] [ l_g_total: 8.4078e+00 ] [ l_d_real: 1.6134e-01 ] [ out_d_real: 6.4375e+00 ] [ l_d_fake: 3.5416e-01 ] [ out_d_fake: -2.3594e+00 ] [ l_d_total: 2.5775e-01 ] 
+2025-05-14 15:15:41,034 INFO: [ epoch:  96 ] [ iter:  7,400 ] [ performance: 3.385 it/s ] [ lr: 8.00e-04 ] [ eta: 16:00:40 ] [ l_g_mssim: 2.1803e-02 ] [ l_g_fdl: 8.5186e+00 ] [ l_g_consistency: 1.6313e-02 ] [ l_g_ldl: 3.5024e-03 ] [ l_g_gan: 1.9874e+00 ] [ l_g_total: 1.0548e+01 ] [ l_d_real: 6.8269e-03 ] [ out_d_real: 5.2500e+00 ] [ l_d_fake: 5.3379e-03 ] [ out_d_fake: -6.6250e+00 ] [ l_d_total: 6.0824e-03 ] 
+2025-05-14 15:16:36,871 INFO: [ epoch:  98 ] [ iter:  7,600 ] [ performance: 3.567 it/s ] [ lr: 8.00e-04 ] [ eta: 15:57:58 ] [ l_g_mssim: 2.9474e-02 ] [ l_g_fdl: 8.2644e+00 ] [ l_g_consistency: 2.1396e-02 ] [ l_g_ldl: 1.3451e-02 ] [ l_g_gan: 5.1014e-01 ] [ l_g_total: 8.8389e+00 ] [ l_d_real: 7.2706e-02 ] [ out_d_real: 5.2812e+00 ] [ l_d_fake: 1.7477e+00 ] [ out_d_fake: 4.7363e-02 ] [ l_d_total: 9.1022e-01 ] 
+2025-05-14 15:17:35,417 INFO: [ epoch: 101 ] [ iter:  7,800 ] [ performance: 3.434 it/s ] [ lr: 8.00e-04 ] [ eta: 15:56:29 ] [ l_g_mssim: 3.1808e-02 ] [ l_g_fdl: 8.2412e+00 ] [ l_g_consistency: 2.1470e-02 ] [ l_g_ldl: 1.4555e-02 ] [ l_g_gan: 1.0787e+00 ] [ l_g_total: 9.3877e+00 ] [ l_d_real: 7.8896e-03 ] [ out_d_real: 7.5625e+00 ] [ l_d_fake: 5.5950e-02 ] [ out_d_fake: -3.5469e+00 ] [ l_d_total: 3.1920e-02 ] 
+2025-05-14 15:18:34,083 INFO: [ epoch: 103 ] [ iter:  8,000 ] [ performance: 3.399 it/s ] [ lr: 8.00e-04 ] [ eta: 15:55:04 ] [ l_g_mssim: 2.3028e-02 ] [ l_g_fdl: 8.1049e+00 ] [ l_g_consistency: 2.0761e-02 ] [ l_g_ldl: 9.4868e-03 ] [ l_g_gan: 1.6155e+00 ] [ l_g_total: 9.7737e+00 ] [ l_d_real: 9.0165e-02 ] [ out_d_real: 5.2188e+00 ] [ l_d_fake: 7.1224e-02 ] [ out_d_fake: -5.3125e+00 ] [ l_d_total: 8.0694e-02 ] 
+2025-05-14 15:18:34,084 INFO: Saving models and training states.
+2025-05-14 15:19:35,134 INFO: [ epoch: 106 ] [ iter:  8,200 ] [ performance: 3.423 it/s ] [ lr: 8.00e-04 ] [ eta: 15:54:36 ] [ l_g_mssim: 2.3242e-02 ] [ l_g_fdl: 7.7651e+00 ] [ l_g_consistency: 2.1049e-02 ] [ l_g_ldl: 1.2059e-02 ] [ l_g_gan: 1.4022e+00 ] [ l_g_total: 9.2236e+00 ] [ l_d_real: 1.6149e-01 ] [ out_d_real: 4.9375e+00 ] [ l_d_fake: 1.4678e-01 ] [ out_d_fake: -4.5312e+00 ] [ l_d_total: 1.5414e-01 ] 
+2025-05-14 15:20:33,576 INFO: [ epoch: 109 ] [ iter:  8,400 ] [ performance: 3.450 it/s ] [ lr: 8.00e-04 ] [ eta: 15:53:07 ] [ l_g_mssim: 2.1990e-02 ] [ l_g_fdl: 7.6948e+00 ] [ l_g_consistency: 1.9961e-02 ] [ l_g_ldl: 7.7519e-03 ] [ l_g_gan: 1.8067e+00 ] [ l_g_total: 9.5512e+00 ] [ l_d_real: 2.4554e-01 ] [ out_d_real: 4.1250e+00 ] [ l_d_fake: 3.7800e-02 ] [ out_d_fake: -6.0000e+00 ] [ l_d_total: 1.4167e-01 ] 
+2025-05-14 15:21:30,197 INFO: [ epoch: 111 ] [ iter:  8,600 ] [ performance: 3.494 it/s ] [ lr: 8.00e-04 ] [ eta: 15:50:59 ] [ l_g_mssim: 3.4109e-02 ] [ l_g_fdl: 8.4900e+00 ] [ l_g_consistency: 2.3437e-02 ] [ l_g_ldl: 1.5217e-02 ] [ l_g_gan: 1.6145e+00 ] [ l_g_total: 1.0177e+01 ] [ l_d_real: 3.2060e-01 ] [ out_d_real: 5.4062e+00 ] [ l_d_fake: 2.9337e-01 ] [ out_d_fake: -5.0938e+00 ] [ l_d_total: 3.0698e-01 ] 
+2025-05-14 15:22:27,256 INFO: [ epoch: 114 ] [ iter:  8,800 ] [ performance: 3.526 it/s ] [ lr: 8.00e-04 ] [ eta: 15:49:04 ] [ l_g_mssim: 2.7554e-02 ] [ l_g_fdl: 9.3419e+00 ] [ l_g_consistency: 2.0404e-02 ] [ l_g_ldl: 2.1427e-03 ] [ l_g_gan: 7.9182e-01 ] [ l_g_total: 1.0184e+01 ] [ l_d_real: 1.3884e+00 ] [ out_d_real: -1.6113e-01 ] [ l_d_fake: 1.3374e-01 ] [ out_d_fake: -2.5000e+00 ] [ l_d_total: 7.6105e-01 ] 
+2025-05-14 15:23:24,575 INFO: [ epoch: 116 ] [ iter:  9,000 ] [ performance: 3.482 it/s ] [ lr: 8.00e-04 ] [ eta: 15:47:16 ] [ l_g_mssim: 1.5753e-02 ] [ l_g_fdl: 7.7630e+00 ] [ l_g_consistency: 1.6847e-02 ] [ l_g_ldl: 2.8590e-03 ] [ l_g_gan: 6.7265e-01 ] [ l_g_total: 8.4711e+00 ] [ l_d_real: 2.4795e-01 ] [ out_d_real: 4.4375e+00 ] [ l_d_fake: 4.8441e-01 ] [ out_d_fake: -1.7578e+00 ] [ l_d_total: 3.6618e-01 ] 
+2025-05-14 15:23:24,575 INFO: Saving models and training states.
+2025-05-14 15:24:26,250 INFO: [ epoch: 119 ] [ iter:  9,200 ] [ performance: 3.478 it/s ] [ lr: 8.00e-04 ] [ eta: 15:47:02 ] [ l_g_mssim: 2.6943e-02 ] [ l_g_fdl: 7.6817e+00 ] [ l_g_consistency: 2.0186e-02 ] [ l_g_ldl: 1.1602e-02 ] [ l_g_gan: 8.1104e-01 ] [ l_g_total: 8.5515e+00 ] [ l_d_real: 9.1027e-04 ] [ out_d_real: 8.8125e+00 ] [ l_d_fake: 8.9249e-01 ] [ out_d_fake: -1.8125e+00 ] [ l_d_total: 4.4670e-01 ] 
+2025-05-14 15:25:23,997 INFO: [ epoch: 122 ] [ iter:  9,400 ] [ performance: 3.443 it/s ] [ lr: 8.00e-04 ] [ eta: 15:45:25 ] [ l_g_mssim: 2.6435e-02 ] [ l_g_fdl: 8.0335e+00 ] [ l_g_consistency: 1.8255e-02 ] [ l_g_ldl: 1.2131e-02 ] [ l_g_gan: 2.2930e+00 ] [ l_g_total: 1.0383e+01 ] [ l_d_real: 9.2062e-04 ] [ out_d_real: 7.2812e+00 ] [ l_d_fake: 8.5048e-03 ] [ out_d_fake: -7.6250e+00 ] [ l_d_total: 4.7127e-03 ] 
+2025-05-14 15:26:21,418 INFO: [ epoch: 124 ] [ iter:  9,600 ] [ performance: 3.482 it/s ] [ lr: 8.00e-04 ] [ eta: 15:43:44 ] [ l_g_mssim: 2.8697e-02 ] [ l_g_fdl: 7.9896e+00 ] [ l_g_consistency: 2.0218e-02 ] [ l_g_ldl: 1.2293e-02 ] [ l_g_gan: 1.9537e+00 ] [ l_g_total: 1.0005e+01 ] [ l_d_real: 7.8445e-02 ] [ out_d_real: 5.2500e+00 ] [ l_d_fake: 1.7352e-02 ] [ out_d_fake: -6.5000e+00 ] [ l_d_total: 4.7898e-02 ] 
+2025-05-14 15:27:20,129 INFO: [ epoch: 127 ] [ iter:  9,800 ] [ performance: 3.394 it/s ] [ lr: 8.00e-04 ] [ eta: 15:42:30 ] [ l_g_mssim: 2.3101e-02 ] [ l_g_fdl: 7.4883e+00 ] [ l_g_consistency: 2.3157e-02 ] [ l_g_ldl: 1.1113e-02 ] [ l_g_gan: 1.6314e+00 ] [ l_g_total: 9.1771e+00 ] [ l_d_real: 1.2062e-01 ] [ out_d_real: 5.0312e+00 ] [ l_d_fake: 3.1160e-01 ] [ out_d_fake: -5.1250e+00 ] [ l_d_total: 2.1611e-01 ] 
+2025-05-14 15:28:18,091 INFO: [ epoch: 129 ] [ iter: 10,000 ] [ performance: 3.462 it/s ] [ lr: 8.00e-04 ] [ eta: 15:41:02 ] [ l_g_mssim: 2.6524e-02 ] [ l_g_fdl: 9.0731e+00 ] [ l_g_consistency: 1.8102e-02 ] [ l_g_ldl: 4.7365e-03 ] [ l_g_gan: 2.2284e+00 ] [ l_g_total: 1.1351e+01 ] [ l_d_real: 2.6435e-02 ] [ out_d_real: 7.0000e+00 ] [ l_d_fake: 9.0718e-04 ] [ out_d_fake: -7.4375e+00 ] [ l_d_total: 1.3671e-02 ] 
+2025-05-14 15:28:18,092 INFO: Saving models and training states.
+2025-05-14 15:31:08,973 INFO: [ epoch: 132 ] [ iter: 10,200 ] [ performance: 0.976 it/s ] [ lr: 8.00e-04 ] [ eta: 16:14:36 ] [ l_g_mssim: 2.1170e-02 ] [ l_g_fdl: 7.6306e+00 ] [ l_g_consistency: 1.3953e-02 ] [ l_g_ldl: 1.0627e-02 ] [ l_g_gan: 1.7484e+00 ] [ l_g_total: 9.4248e+00 ] [ l_d_real: 8.0215e-01 ] [ out_d_real: 6.4375e+00 ] [ l_d_fake: 8.0785e-02 ] [ out_d_fake: -5.7500e+00 ] [ l_d_total: 4.4147e-01 ] 
+2025-05-14 15:39:00,873 INFO: [ epoch: 135 ] [ iter: 10,400 ] [ performance: 0.425 it/s ] [ lr: 8.00e-04 ] [ eta: 18:18:15 ] [ l_g_mssim: 2.2307e-02 ] [ l_g_fdl: 7.7667e+00 ] [ l_g_consistency: 1.8874e-02 ] [ l_g_ldl: 1.1235e-02 ] [ l_g_gan: 1.9250e+00 ] [ l_g_total: 9.7442e+00 ] [ l_d_real: 7.9000e-01 ] [ out_d_real: 2.2031e+00 ] [ l_d_fake: 3.5365e-01 ] [ out_d_fake: -6.0625e+00 ] [ l_d_total: 5.7183e-01 ] 
+2025-05-14 15:40:01,976 INFO: [ epoch: 137 ] [ iter: 10,600 ] [ performance: 3.252 it/s ] [ lr: 8.00e-04 ] [ eta: 18:14:35 ] [ l_g_mssim: 2.7466e-02 ] [ l_g_fdl: 8.0820e+00 ] [ l_g_consistency: 2.4531e-02 ] [ l_g_ldl: 1.2099e-02 ] [ l_g_gan: 2.7536e+00 ] [ l_g_total: 1.0900e+01 ] [ l_d_real: 4.4593e-04 ] [ out_d_real: 8.1250e+00 ] [ l_d_fake: 1.1086e-03 ] [ out_d_fake: -9.1875e+00 ] [ l_d_total: 7.7727e-04 ] 
+2025-05-14 15:41:02,496 INFO: [ epoch: 140 ] [ iter: 10,800 ] [ performance: 3.296 it/s ] [ lr: 8.00e-04 ] [ eta: 18:10:51 ] [ l_g_mssim: 3.4950e-02 ] [ l_g_fdl: 8.3109e+00 ] [ l_g_consistency: 2.5133e-02 ] [ l_g_ldl: 2.1586e-02 ] [ l_g_gan: 2.0032e+00 ] [ l_g_total: 1.0396e+01 ] [ l_d_real: 4.5100e-02 ] [ out_d_real: 6.4688e+00 ] [ l_d_fake: 1.3604e-02 ] [ out_d_fake: -6.6562e+00 ] [ l_d_total: 2.9352e-02 ] 
+2025-05-14 15:42:03,044 INFO: [ epoch: 142 ] [ iter: 11,000 ] [ performance: 3.298 it/s ] [ lr: 8.00e-04 ] [ eta: 18:07:13 ] [ l_g_mssim: 3.4048e-02 ] [ l_g_fdl: 8.0607e+00 ] [ l_g_consistency: 2.4358e-02 ] [ l_g_ldl: 1.7316e-02 ] [ l_g_gan: 1.7448e+00 ] [ l_g_total: 9.8813e+00 ] [ l_d_real: 4.1493e-03 ] [ out_d_real: 7.8438e+00 ] [ l_d_fake: 3.6691e-01 ] [ out_d_fake: -5.4375e+00 ] [ l_d_total: 1.8553e-01 ] 
+2025-05-14 15:42:03,045 INFO: Saving models and training states.
+2025-05-14 15:43:06,384 INFO: [ epoch: 145 ] [ iter: 11,200 ] [ performance: 3.282 it/s ] [ lr: 8.00e-04 ] [ eta: 18:04:28 ] [ l_g_mssim: 2.6531e-02 ] [ l_g_fdl: 8.0407e+00 ] [ l_g_consistency: 2.0536e-02 ] [ l_g_ldl: 1.2560e-02 ] [ l_g_gan: 8.7021e-01 ] [ l_g_total: 8.9706e+00 ] [ l_d_real: 5.0125e-02 ] [ out_d_real: 4.9375e+00 ] [ l_d_fake: 1.1950e+00 ] [ out_d_fake: -1.7031e+00 ] [ l_d_total: 6.2256e-01 ] 
+2025-05-14 15:44:08,746 INFO: [ epoch: 148 ] [ iter: 11,400 ] [ performance: 3.237 it/s ] [ lr: 8.00e-04 ] [ eta: 18:01:31 ] [ l_g_mssim: 1.7844e-02 ] [ l_g_fdl: 8.8316e+00 ] [ l_g_consistency: 1.8358e-02 ] [ l_g_ldl: 1.2556e-03 ] [ l_g_gan: 1.5664e+00 ] [ l_g_total: 1.0435e+01 ] [ l_d_real: 3.2022e-01 ] [ out_d_real: 2.8594e+00 ] [ l_d_fake: 7.9901e-03 ] [ out_d_fake: -5.2188e+00 ] [ l_d_total: 1.6410e-01 ] 
+2025-05-14 15:45:09,753 INFO: [ epoch: 150 ] [ iter: 11,600 ] [ performance: 3.384 it/s ] [ lr: 8.00e-04 ] [ eta: 17:58:15 ] [ l_g_mssim: 3.0567e-02 ] [ l_g_fdl: 8.5572e+00 ] [ l_g_consistency: 1.6292e-02 ] [ l_g_ldl: 3.8498e-03 ] [ l_g_gan: 2.3481e+00 ] [ l_g_total: 1.0956e+01 ] [ l_d_real: 9.1486e-01 ] [ out_d_real: 7.0000e+00 ] [ l_d_fake: 1.6323e-03 ] [ out_d_fake: -7.8125e+00 ] [ l_d_total: 4.5824e-01 ] 
+2025-05-14 15:46:07,943 INFO: [ epoch: 153 ] [ iter: 11,800 ] [ performance: 3.447 it/s ] [ lr: 8.00e-04 ] [ eta: 17:54:19 ] [ l_g_mssim: 2.0843e-02 ] [ l_g_fdl: 7.9062e+00 ] [ l_g_consistency: 1.8401e-02 ] [ l_g_ldl: 6.5009e-03 ] [ l_g_gan: 1.2787e+00 ] [ l_g_total: 9.2307e+00 ] [ l_d_real: 3.0204e-02 ] [ out_d_real: 6.1250e+00 ] [ l_d_fake: 8.6187e-02 ] [ out_d_fake: -4.1875e+00 ] [ l_d_total: 5.8196e-02 ] 
+2025-05-14 15:47:06,673 INFO: [ epoch: 155 ] [ iter: 12,000 ] [ performance: 3.390 it/s ] [ lr: 8.00e-04 ] [ eta: 17:50:38 ] [ l_g_mssim: 2.8104e-02 ] [ l_g_fdl: 9.0170e+00 ] [ l_g_consistency: 1.7372e-02 ] [ l_g_ldl: 3.1623e-03 ] [ l_g_gan: 1.7411e+00 ] [ l_g_total: 1.0807e+01 ] [ l_d_real: 6.8515e-04 ] [ out_d_real: 7.7188e+00 ] [ l_d_fake: 5.1002e-03 ] [ out_d_fake: -5.8125e+00 ] [ l_d_total: 2.8927e-03 ] 
+2025-05-14 15:47:06,673 INFO: Saving models and training states.
+2025-05-14 15:48:10,713 INFO: [ epoch: 158 ] [ iter: 12,200 ] [ performance: 3.264 it/s ] [ lr: 8.00e-04 ] [ eta: 17:48:23 ] [ l_g_mssim: 2.5110e-02 ] [ l_g_fdl: 7.5568e+00 ] [ l_g_consistency: 1.8562e-02 ] [ l_g_ldl: 1.3879e-02 ] [ l_g_gan: 1.5589e+00 ] [ l_g_total: 9.1733e+00 ] [ l_d_real: 1.5794e-04 ] [ out_d_real: 9.0000e+00 ] [ l_d_fake: 1.8546e-01 ] [ out_d_fake: -5.0000e+00 ] [ l_d_total: 9.2809e-02 ] 
+2025-05-14 15:49:15,804 INFO: [ epoch: 161 ] [ iter: 12,400 ] [ performance: 3.038 it/s ] [ lr: 8.00e-04 ] [ eta: 17:46:27 ] [ l_g_mssim: 2.8292e-02 ] [ l_g_fdl: 8.8843e+00 ] [ l_g_consistency: 1.7099e-02 ] [ l_g_ldl: 3.5689e-03 ] [ l_g_gan: 1.8318e+00 ] [ l_g_total: 1.0765e+01 ] [ l_d_real: 3.6388e-04 ] [ out_d_real: 9.0000e+00 ] [ l_d_fake: 2.3579e-03 ] [ out_d_fake: -6.0938e+00 ] [ l_d_total: 1.3609e-03 ] 
+2025-05-14 15:50:14,133 INFO: [ epoch: 163 ] [ iter: 12,600 ] [ performance: 3.415 it/s ] [ lr: 8.00e-04 ] [ eta: 17:42:51 ] [ l_g_mssim: 3.7034e-02 ] [ l_g_fdl: 8.7100e+00 ] [ l_g_consistency: 2.6038e-02 ] [ l_g_ldl: 1.8087e-02 ] [ l_g_gan: 1.5628e+00 ] [ l_g_total: 1.0354e+01 ] [ l_d_real: 1.3234e-02 ] [ out_d_real: 5.5938e+00 ] [ l_d_fake: 4.6839e-02 ] [ out_d_fake: -5.1562e+00 ] [ l_d_total: 3.0036e-02 ] 
+2025-05-14 15:51:11,431 INFO: [ epoch: 166 ] [ iter: 12,800 ] [ performance: 3.513 it/s ] [ lr: 8.00e-04 ] [ eta: 17:39:06 ] [ l_g_mssim: 2.3475e-02 ] [ l_g_fdl: 7.8741e+00 ] [ l_g_consistency: 1.7068e-02 ] [ l_g_ldl: 8.4624e-03 ] [ l_g_gan: 2.5350e+00 ] [ l_g_total: 1.0458e+01 ] [ l_d_real: 6.5406e-01 ] [ out_d_real: 6.1875e+00 ] [ l_d_fake: 8.9430e-04 ] [ out_d_fake: -8.4375e+00 ] [ l_d_total: 3.2748e-01 ] 
+2025-05-14 15:52:07,841 INFO: [ epoch: 168 ] [ iter: 13,000 ] [ performance: 3.487 it/s ] [ lr: 8.00e-04 ] [ eta: 17:35:13 ] [ l_g_mssim: 2.7560e-02 ] [ l_g_fdl: 8.9080e+00 ] [ l_g_consistency: 1.5621e-02 ] [ l_g_ldl: 5.7618e-03 ] [ l_g_gan: 2.1334e+00 ] [ l_g_total: 1.1090e+01 ] [ l_d_real: 1.3129e+00 ] [ out_d_real: 3.0781e+00 ] [ l_d_fake: 1.0712e-03 ] [ out_d_fake: -7.1250e+00 ] [ l_d_total: 6.5698e-01 ] 
+2025-05-14 15:52:07,841 INFO: Saving models and training states.
+2025-05-14 15:53:08,128 INFO: [ epoch: 171 ] [ iter: 13,200 ] [ performance: 3.531 it/s ] [ lr: 8.00e-04 ] [ eta: 17:32:20 ] [ l_g_mssim: 3.2584e-02 ] [ l_g_fdl: 8.6736e+00 ] [ l_g_consistency: 2.0954e-02 ] [ l_g_ldl: 1.3342e-02 ] [ l_g_gan: 1.3502e+00 ] [ l_g_total: 1.0091e+01 ] [ l_d_real: 1.4922e-01 ] [ out_d_real: 4.4062e+00 ] [ l_d_fake: 1.9996e-01 ] [ out_d_fake: -4.3125e+00 ] [ l_d_total: 1.7459e-01 ] 
+2025-05-14 15:54:05,424 INFO: [ epoch: 174 ] [ iter: 13,400 ] [ performance: 3.509 it/s ] [ lr: 8.00e-04 ] [ eta: 17:28:49 ] [ l_g_mssim: 2.1747e-02 ] [ l_g_fdl: 8.5891e+00 ] [ l_g_consistency: 1.6873e-02 ] [ l_g_ldl: 1.9904e-03 ] [ l_g_gan: 1.9269e+00 ] [ l_g_total: 1.0557e+01 ] [ l_d_real: 2.2499e-02 ] [ out_d_real: 4.8438e+00 ] [ l_d_fake: 3.1720e-03 ] [ out_d_fake: -6.4062e+00 ] [ l_d_total: 1.2835e-02 ] 
+2025-05-14 15:55:02,595 INFO: [ epoch: 176 ] [ iter: 13,600 ] [ performance: 3.498 it/s ] [ lr: 8.00e-04 ] [ eta: 17:25:21 ] [ l_g_mssim: 2.4821e-02 ] [ l_g_fdl: 8.0036e+00 ] [ l_g_consistency: 2.0641e-02 ] [ l_g_ldl: 1.1558e-02 ] [ l_g_gan: 1.5672e+00 ] [ l_g_total: 9.6279e+00 ] [ l_d_real: 4.9721e-01 ] [ out_d_real: 4.7188e+00 ] [ l_d_fake: 4.6047e-02 ] [ out_d_fake: -5.1875e+00 ] [ l_d_total: 2.7163e-01 ] 
+2025-05-14 15:55:59,601 INFO: [ epoch: 179 ] [ iter: 13,800 ] [ performance: 3.488 it/s ] [ lr: 8.00e-04 ] [ eta: 17:21:54 ] [ l_g_mssim: 2.1222e-02 ] [ l_g_fdl: 8.1191e+00 ] [ l_g_consistency: 1.9530e-02 ] [ l_g_ldl: 4.9345e-03 ] [ l_g_gan: 1.2357e+00 ] [ l_g_total: 9.4004e+00 ] [ l_d_real: 1.4938e-01 ] [ out_d_real: 3.2812e+00 ] [ l_d_fake: 3.3521e-01 ] [ out_d_fake: -3.7812e+00 ] [ l_d_total: 2.4229e-01 ] 
+2025-05-14 15:56:56,817 INFO: [ epoch: 181 ] [ iter: 14,000 ] [ performance: 3.530 it/s ] [ lr: 8.00e-04 ] [ eta: 17:18:35 ] [ l_g_mssim: 2.7416e-02 ] [ l_g_fdl: 8.5922e+00 ] [ l_g_consistency: 1.6853e-02 ] [ l_g_ldl: 4.1038e-03 ] [ l_g_gan: 1.2640e+00 ] [ l_g_total: 9.9045e+00 ] [ l_d_real: 5.4023e-03 ] [ out_d_real: 5.7812e+00 ] [ l_d_fake: 1.8399e-01 ] [ out_d_fake: -4.0312e+00 ] [ l_d_total: 9.4698e-02 ] 
+2025-05-14 15:56:56,818 INFO: Saving models and training states.
+2025-05-14 15:57:58,645 INFO: [ epoch: 184 ] [ iter: 14,200 ] [ performance: 3.382 it/s ] [ lr: 8.00e-04 ] [ eta: 17:16:21 ] [ l_g_mssim: 1.8773e-02 ] [ l_g_fdl: 7.2989e+00 ] [ l_g_consistency: 1.6193e-02 ] [ l_g_ldl: 9.1530e-03 ] [ l_g_gan: 2.0734e+00 ] [ l_g_total: 9.4164e+00 ] [ l_d_real: 2.6881e-01 ] [ out_d_real: 5.8438e+00 ] [ l_d_fake: 2.1538e-02 ] [ out_d_fake: -6.8750e+00 ] [ l_d_total: 1.4517e-01 ] 
+2025-05-14 15:58:56,991 INFO: [ epoch: 187 ] [ iter: 14,400 ] [ performance: 3.405 it/s ] [ lr: 8.00e-04 ] [ eta: 17:13:23 ] [ l_g_mssim: 1.8320e-02 ] [ l_g_fdl: 7.4953e+00 ] [ l_g_consistency: 1.6855e-02 ] [ l_g_ldl: 5.8156e-03 ] [ l_g_gan: 2.3811e+00 ] [ l_g_total: 9.9174e+00 ] [ l_d_real: 1.8672e-02 ] [ out_d_real: 6.3438e+00 ] [ l_d_fake: 6.3237e-02 ] [ out_d_fake: -7.8750e+00 ] [ l_d_total: 4.0954e-02 ] 
+2025-05-14 15:59:54,633 INFO: [ epoch: 189 ] [ iter: 14,600 ] [ performance: 3.458 it/s ] [ lr: 8.00e-04 ] [ eta: 17:10:20 ] [ l_g_mssim: 2.2806e-02 ] [ l_g_fdl: 7.7273e+00 ] [ l_g_consistency: 1.9182e-02 ] [ l_g_ldl: 9.9382e-03 ] [ l_g_gan: 1.3656e+00 ] [ l_g_total: 9.1448e+00 ] [ l_d_real: 1.8451e+00 ] [ out_d_real: -8.4375e-01 ] [ l_d_fake: 1.1152e-02 ] [ out_d_fake: -4.5312e+00 ] [ l_d_total: 9.2814e-01 ] 
+2025-05-14 16:00:55,830 INFO: [ epoch: 192 ] [ iter: 14,800 ] [ performance: 3.261 it/s ] [ lr: 8.00e-04 ] [ eta: 17:08:04 ] [ l_g_mssim: 1.7055e-02 ] [ l_g_fdl: 8.1030e+00 ] [ l_g_consistency: 1.4786e-02 ] [ l_g_ldl: 1.3269e-03 ] [ l_g_gan: 2.7769e+00 ] [ l_g_total: 1.0913e+01 ] [ l_d_real: 2.5582e-01 ] [ out_d_real: 8.8125e+00 ] [ l_d_fake: 7.3274e-03 ] [ out_d_fake: -9.2500e+00 ] [ l_d_total: 1.3157e-01 ] 
+2025-05-14 16:01:54,463 INFO: [ epoch: 194 ] [ iter: 15,000 ] [ performance: 3.451 it/s ] [ lr: 8.00e-04 ] [ eta: 17:05:19 ] [ l_g_mssim: 2.4326e-02 ] [ l_g_fdl: 8.8436e+00 ] [ l_g_consistency: 1.4613e-02 ] [ l_g_ldl: 3.1191e-03 ] [ l_g_gan: 1.4287e+00 ] [ l_g_total: 1.0314e+01 ] [ l_d_real: 1.5737e-01 ] [ out_d_real: 2.1562e+00 ] [ l_d_fake: 1.5717e-01 ] [ out_d_fake: -4.5938e+00 ] [ l_d_total: 1.5727e-01 ] 
+2025-05-14 16:01:54,464 INFO: Saving models and training states.
+2025-05-14 16:02:54,940 INFO: [ epoch: 197 ] [ iter: 15,200 ] [ performance: 3.420 it/s ] [ lr: 8.00e-04 ] [ eta: 17:02:59 ] [ l_g_mssim: 2.2561e-02 ] [ l_g_fdl: 8.0276e+00 ] [ l_g_consistency: 1.9227e-02 ] [ l_g_ldl: 7.9257e-03 ] [ l_g_gan: 1.4817e+00 ] [ l_g_total: 9.5590e+00 ] [ l_d_real: 4.8125e-03 ] [ out_d_real: 5.6250e+00 ] [ l_d_fake: 2.5283e-01 ] [ out_d_fake: -4.6875e+00 ] [ l_d_total: 1.2882e-01 ] 
+2025-05-14 16:03:55,015 INFO: [ epoch: 199 ] [ iter: 15,400 ] [ performance: 3.257 it/s ] [ lr: 8.00e-04 ] [ eta: 17:00:37 ] [ l_g_mssim: 2.1013e-02 ] [ l_g_fdl: 7.7331e+00 ] [ l_g_consistency: 1.8589e-02 ] [ l_g_ldl: 9.2965e-03 ] [ l_g_gan: 1.9811e+00 ] [ l_g_total: 9.7631e+00 ] [ l_d_real: 5.0023e-02 ] [ out_d_real: 4.5938e+00 ] [ l_d_fake: 8.3218e-02 ] [ out_d_fake: -6.5312e+00 ] [ l_d_total: 6.6620e-02 ] 
+2025-05-14 16:04:55,355 INFO: [ epoch: 202 ] [ iter: 15,600 ] [ performance: 3.239 it/s ] [ lr: 8.00e-04 ] [ eta: 16:58:19 ] [ l_g_mssim: 3.9590e-02 ] [ l_g_fdl: 8.3201e+00 ] [ l_g_consistency: 2.1580e-02 ] [ l_g_ldl: 2.1742e-02 ] [ l_g_gan: 1.9210e-01 ] [ l_g_total: 8.5951e+00 ] [ l_d_real: 3.7836e-02 ] [ out_d_real: 8.7500e+00 ] [ l_d_fake: 2.1759e+00 ] [ out_d_fake: 1.5391e+00 ] [ l_d_total: 1.1068e+00 ] 
+2025-05-14 16:05:56,555 INFO: [ epoch: 205 ] [ iter: 15,800 ] [ performance: 3.306 it/s ] [ lr: 8.00e-04 ] [ eta: 16:56:14 ] [ l_g_mssim: 2.9663e-02 ] [ l_g_fdl: 8.3247e+00 ] [ l_g_consistency: 2.1743e-02 ] [ l_g_ldl: 1.2311e-02 ] [ l_g_gan: 2.4331e+00 ] [ l_g_total: 1.0822e+01 ] [ l_d_real: 4.8841e-02 ] [ out_d_real: 7.5312e+00 ] [ l_d_fake: 4.2328e-02 ] [ out_d_fake: -8.0625e+00 ] [ l_d_total: 4.5585e-02 ] 
+2025-05-14 16:06:56,011 INFO: [ epoch: 207 ] [ iter: 16,000 ] [ performance: 3.313 it/s ] [ lr: 8.00e-04 ] [ eta: 16:53:50 ] [ l_g_mssim: 2.2775e-02 ] [ l_g_fdl: 8.8388e+00 ] [ l_g_consistency: 1.4457e-02 ] [ l_g_ldl: 5.0572e-03 ] [ l_g_gan: 1.8939e+00 ] [ l_g_total: 1.0775e+01 ] [ l_d_real: 1.6977e-03 ] [ out_d_real: 7.4688e+00 ] [ l_d_fake: 1.8884e-03 ] [ out_d_fake: -6.3125e+00 ] [ l_d_total: 1.7931e-03 ] 
+2025-05-14 16:06:56,012 INFO: Saving models and training states.
+2025-05-14 16:07:58,622 INFO: [ epoch: 210 ] [ iter: 16,200 ] [ performance: 3.281 it/s ] [ lr: 8.00e-04 ] [ eta: 16:52:04 ] [ l_g_mssim: 2.5389e-02 ] [ l_g_fdl: 7.7492e+00 ] [ l_g_consistency: 1.9483e-02 ] [ l_g_ldl: 1.2732e-02 ] [ l_g_gan: 2.3963e+00 ] [ l_g_total: 1.0203e+01 ] [ l_d_real: 5.4882e-02 ] [ out_d_real: 6.6875e+00 ] [ l_d_fake: 2.5372e-02 ] [ out_d_fake: -7.9688e+00 ] [ l_d_total: 4.0127e-02 ] 
+2025-05-14 16:08:54,869 INFO: [ epoch: 212 ] [ iter: 16,400 ] [ performance: 3.588 it/s ] [ lr: 8.00e-04 ] [ eta: 16:49:08 ] [ l_g_mssim: 1.9746e-02 ] [ l_g_fdl: 8.2722e+00 ] [ l_g_consistency: 1.3678e-02 ] [ l_g_ldl: 2.0960e-03 ] [ l_g_gan: 1.5717e+00 ] [ l_g_total: 9.8794e+00 ] [ l_d_real: 1.0071e-01 ] [ out_d_real: 6.2812e+00 ] [ l_d_fake: 1.4581e-01 ] [ out_d_fake: -5.0938e+00 ] [ l_d_total: 1.2326e-01 ] 
+2025-05-14 16:09:52,841 INFO: [ epoch: 215 ] [ iter: 16,600 ] [ performance: 3.481 it/s ] [ lr: 8.00e-04 ] [ eta: 16:46:34 ] [ l_g_mssim: 2.3551e-02 ] [ l_g_fdl: 7.9929e+00 ] [ l_g_consistency: 1.9762e-02 ] [ l_g_ldl: 9.3328e-03 ] [ l_g_gan: 2.0537e+00 ] [ l_g_total: 1.0099e+01 ] [ l_d_real: 6.1608e-02 ] [ out_d_real: 8.0000e+00 ] [ l_d_fake: 3.0576e-02 ] [ out_d_fake: -6.8125e+00 ] [ l_d_total: 4.6092e-02 ] 
+2025-05-14 16:10:50,437 INFO: [ epoch: 218 ] [ iter: 16,800 ] [ performance: 3.526 it/s ] [ lr: 8.00e-04 ] [ eta: 16:43:58 ] [ l_g_mssim: 1.6639e-02 ] [ l_g_fdl: 7.5406e+00 ] [ l_g_consistency: 1.7319e-02 ] [ l_g_ldl: 5.2009e-03 ] [ l_g_gan: 1.4385e+00 ] [ l_g_total: 9.0183e+00 ] [ l_d_real: 1.4310e+00 ] [ out_d_real: 6.1719e-01 ] [ l_d_fake: 1.4256e-01 ] [ out_d_fake: -4.6562e+00 ] [ l_d_total: 7.8680e-01 ] 
+2025-05-14 16:11:48,369 INFO: [ epoch: 220 ] [ iter: 17,000 ] [ performance: 3.445 it/s ] [ lr: 8.00e-04 ] [ eta: 16:41:28 ] [ l_g_mssim: 2.4939e-02 ] [ l_g_fdl: 8.1736e+00 ] [ l_g_consistency: 2.3593e-02 ] [ l_g_ldl: 1.0956e-02 ] [ l_g_gan: 7.9327e-01 ] [ l_g_total: 9.0264e+00 ] [ l_d_real: 1.3935e-01 ] [ out_d_real: 5.4375e+00 ] [ l_d_fake: 2.0468e-01 ] [ out_d_fake: -2.4375e+00 ] [ l_d_total: 1.7201e-01 ] 
+2025-05-14 16:11:48,370 INFO: Saving models and training states.
+2025-05-14 16:12:49,577 INFO: [ epoch: 223 ] [ iter: 17,200 ] [ performance: 3.367 it/s ] [ lr: 8.00e-04 ] [ eta: 16:39:35 ] [ l_g_mssim: 2.0450e-02 ] [ l_g_fdl: 7.5994e+00 ] [ l_g_consistency: 1.7031e-02 ] [ l_g_ldl: 7.3414e-03 ] [ l_g_gan: 8.7681e-01 ] [ l_g_total: 8.5211e+00 ] [ l_d_real: 4.4054e-01 ] [ out_d_real: 4.8125e+00 ] [ l_d_fake: 1.6144e+00 ] [ out_d_fake: -1.3047e+00 ] [ l_d_total: 1.0274e+00 ] 
+2025-05-14 16:13:46,145 INFO: [ epoch: 225 ] [ iter: 17,400 ] [ performance: 3.556 it/s ] [ lr: 8.00e-04 ] [ eta: 16:36:54 ] [ l_g_mssim: 2.1787e-02 ] [ l_g_fdl: 7.5352e+00 ] [ l_g_consistency: 1.6171e-02 ] [ l_g_ldl: 8.9315e-03 ] [ l_g_gan: 1.0762e+00 ] [ l_g_total: 8.6582e+00 ] [ l_d_real: 1.8447e-01 ] [ out_d_real: 3.4688e+00 ] [ l_d_fake: 5.7386e-02 ] [ out_d_fake: -3.5312e+00 ] [ l_d_total: 1.2093e-01 ] 
+2025-05-14 16:14:43,865 INFO: [ epoch: 228 ] [ iter: 17,600 ] [ performance: 3.430 it/s ] [ lr: 8.00e-04 ] [ eta: 16:34:28 ] [ l_g_mssim: 1.7867e-02 ] [ l_g_fdl: 8.0037e+00 ] [ l_g_consistency: 1.3790e-02 ] [ l_g_ldl: 1.9892e-03 ] [ l_g_gan: 2.0425e+00 ] [ l_g_total: 1.0080e+01 ] [ l_d_real: 7.3396e-01 ] [ out_d_real: 7.0625e+00 ] [ l_d_fake: 3.0173e-03 ] [ out_d_fake: -6.8125e+00 ] [ l_d_total: 3.6849e-01 ] 
+2025-05-14 16:15:40,593 INFO: [ epoch: 231 ] [ iter: 17,800 ] [ performance: 3.545 it/s ] [ lr: 8.00e-04 ] [ eta: 16:31:53 ] [ l_g_mssim: 3.0538e-02 ] [ l_g_fdl: 8.6043e+00 ] [ l_g_consistency: 2.2316e-02 ] [ l_g_ldl: 1.1688e-02 ] [ l_g_gan: 1.0847e+00 ] [ l_g_total: 9.7536e+00 ] [ l_d_real: 9.6234e-04 ] [ out_d_real: 7.3750e+00 ] [ l_d_fake: 1.2102e-01 ] [ out_d_fake: -3.5000e+00 ] [ l_d_total: 6.0989e-02 ] 
+2025-05-14 16:16:36,391 INFO: [ epoch: 233 ] [ iter: 18,000 ] [ performance: 3.512 it/s ] [ lr: 8.00e-04 ] [ eta: 16:29:12 ] [ l_g_mssim: 1.4037e-02 ] [ l_g_fdl: 6.9366e+00 ] [ l_g_consistency: 1.8495e-02 ] [ l_g_ldl: 4.8810e-03 ] [ l_g_gan: 2.1989e+00 ] [ l_g_total: 9.1729e+00 ] [ l_d_real: 2.9515e-03 ] [ out_d_real: 6.9062e+00 ] [ l_d_fake: 1.2103e-03 ] [ out_d_fake: -7.3438e+00 ] [ l_d_total: 2.0809e-03 ] 
+2025-05-14 16:16:36,391 INFO: Saving models and training states.
+2025-05-14 16:17:36,844 INFO: [ epoch: 236 ] [ iter: 18,200 ] [ performance: 3.463 it/s ] [ lr: 8.00e-04 ] [ eta: 16:27:19 ] [ l_g_mssim: 1.5969e-02 ] [ l_g_fdl: 7.5330e+00 ] [ l_g_consistency: 1.5828e-02 ] [ l_g_ldl: 4.8226e-03 ] [ l_g_gan: 2.4267e-01 ] [ l_g_total: 7.8123e+00 ] [ l_d_real: 9.3524e-03 ] [ out_d_real: 7.5938e+00 ] [ l_d_fake: 3.4914e+00 ] [ out_d_fake: 2.6875e+00 ] [ l_d_total: 1.7504e+00 ] 
+2025-05-14 16:18:36,191 INFO: [ epoch: 238 ] [ iter: 18,400 ] [ performance: 3.328 it/s ] [ lr: 8.00e-04 ] [ eta: 16:25:16 ] [ l_g_mssim: 2.6377e-02 ] [ l_g_fdl: 8.1359e+00 ] [ l_g_consistency: 2.2442e-02 ] [ l_g_ldl: 1.1543e-02 ] [ l_g_gan: 1.2327e+00 ] [ l_g_total: 9.4290e+00 ] [ l_d_real: 2.8682e-02 ] [ out_d_real: 7.0625e+00 ] [ l_d_fake: 9.9756e-01 ] [ out_d_fake: -3.1094e+00 ] [ l_d_total: 5.1312e-01 ] 
+2025-05-14 16:19:35,892 INFO: [ epoch: 241 ] [ iter: 18,600 ] [ performance: 3.391 it/s ] [ lr: 8.00e-04 ] [ eta: 16:23:18 ] [ l_g_mssim: 2.8411e-02 ] [ l_g_fdl: 8.2077e+00 ] [ l_g_consistency: 2.0878e-02 ] [ l_g_ldl: 1.3385e-02 ] [ l_g_gan: 1.3910e+00 ] [ l_g_total: 9.6614e+00 ] [ l_d_real: 7.5835e-03 ] [ out_d_real: 5.4688e+00 ] [ l_d_fake: 8.4666e-02 ] [ out_d_fake: -4.5625e+00 ] [ l_d_total: 4.6124e-02 ] 
+2025-05-14 16:20:33,665 INFO: [ epoch: 244 ] [ iter: 18,800 ] [ performance: 3.479 it/s ] [ lr: 8.00e-04 ] [ eta: 16:21:03 ] [ l_g_mssim: 2.2873e-02 ] [ l_g_fdl: 7.4377e+00 ] [ l_g_consistency: 2.3180e-02 ] [ l_g_ldl: 9.2903e-03 ] [ l_g_gan: 2.0353e+00 ] [ l_g_total: 9.5283e+00 ] [ l_d_real: 3.8264e-01 ] [ out_d_real: 5.3438e+00 ] [ l_d_fake: 3.1170e-02 ] [ out_d_fake: -6.7500e+00 ] [ l_d_total: 2.0690e-01 ] 
+2025-05-14 16:21:29,706 INFO: [ epoch: 246 ] [ iter: 19,000 ] [ performance: 3.439 it/s ] [ lr: 8.00e-04 ] [ eta: 16:18:33 ] [ l_g_mssim: 2.2074e-02 ] [ l_g_fdl: 8.7141e+00 ] [ l_g_consistency: 1.9311e-02 ] [ l_g_ldl: 1.5641e-03 ] [ l_g_gan: 2.1901e+00 ] [ l_g_total: 1.0947e+01 ] [ l_d_real: 1.9842e-03 ] [ out_d_real: 6.3750e+00 ] [ l_d_fake: 1.3560e-03 ] [ out_d_fake: -7.3125e+00 ] [ l_d_total: 1.6701e-03 ] 
+2025-05-14 16:21:29,706 INFO: Saving models and training states.
+2025-05-14 16:22:29,129 INFO: [ epoch: 249 ] [ iter: 19,200 ] [ performance: 3.494 it/s ] [ lr: 8.00e-04 ] [ eta: 16:16:37 ] [ l_g_mssim: 2.3346e-02 ] [ l_g_fdl: 8.5750e+00 ] [ l_g_consistency: 1.4822e-02 ] [ l_g_ldl: 4.6515e-03 ] [ l_g_gan: 2.0532e+00 ] [ l_g_total: 1.0671e+01 ] [ l_d_real: 1.1872e+00 ] [ out_d_real: 1.2500e+00 ] [ l_d_fake: 4.7232e-03 ] [ out_d_fake: -6.8438e+00 ] [ l_d_total: 5.9597e-01 ] 
+2025-05-14 16:23:26,388 INFO: [ epoch: 251 ] [ iter: 19,400 ] [ performance: 3.489 it/s ] [ lr: 8.00e-04 ] [ eta: 16:14:22 ] [ l_g_mssim: 1.5603e-02 ] [ l_g_fdl: 8.2941e+00 ] [ l_g_consistency: 1.1541e-02 ] [ l_g_ldl: 1.4213e-03 ] [ l_g_gan: 8.8402e-01 ] [ l_g_total: 9.2067e+00 ] [ l_d_real: 8.9789e-04 ] [ out_d_real: 7.1250e+00 ] [ l_d_fake: 6.7333e-02 ] [ out_d_fake: -2.8750e+00 ] [ l_d_total: 3.4115e-02 ] 
+2025-05-14 16:24:22,462 INFO: [ epoch: 254 ] [ iter: 19,600 ] [ performance: 3.694 it/s ] [ lr: 8.00e-04 ] [ eta: 16:11:57 ] [ l_g_mssim: 2.2071e-02 ] [ l_g_fdl: 7.5477e+00 ] [ l_g_consistency: 1.7353e-02 ] [ l_g_ldl: 7.7277e-03 ] [ l_g_gan: 2.0854e+00 ] [ l_g_total: 9.6802e+00 ] [ l_d_real: 4.7655e-02 ] [ out_d_real: 6.5312e+00 ] [ l_d_fake: 2.5834e-02 ] [ out_d_fake: -6.9375e+00 ] [ l_d_total: 3.6744e-02 ] 
+2025-05-14 16:25:18,183 INFO: [ epoch: 257 ] [ iter: 19,800 ] [ performance: 3.487 it/s ] [ lr: 8.00e-04 ] [ eta: 16:09:31 ] [ l_g_mssim: 1.9426e-02 ] [ l_g_fdl: 7.7950e+00 ] [ l_g_consistency: 1.9289e-02 ] [ l_g_ldl: 6.5650e-03 ] [ l_g_gan: 2.2180e+00 ] [ l_g_total: 1.0058e+01 ] [ l_d_real: 3.0849e-01 ] [ out_d_real: 4.4688e+00 ] [ l_d_fake: 1.6227e-03 ] [ out_d_fake: -7.4062e+00 ] [ l_d_total: 1.5506e-01 ] 
+2025-05-14 16:26:15,599 INFO: [ epoch: 259 ] [ iter: 20,000 ] [ performance: 3.493 it/s ] [ lr: 8.00e-04 ] [ eta: 16:07:22 ] [ l_g_mssim: 2.3366e-02 ] [ l_g_fdl: 8.0698e+00 ] [ l_g_consistency: 2.1711e-02 ] [ l_g_ldl: 9.8584e-03 ] [ l_g_gan: 1.9533e+00 ] [ l_g_total: 1.0078e+01 ] [ l_d_real: 3.4273e-02 ] [ out_d_real: 6.0625e+00 ] [ l_d_fake: 2.2826e-02 ] [ out_d_fake: -6.5000e+00 ] [ l_d_total: 2.8550e-02 ] 
+2025-05-14 16:26:15,600 INFO: Saving models and training states.
+2025-05-14 16:27:14,193 INFO: [ epoch: 262 ] [ iter: 20,200 ] [ performance: 3.571 it/s ] [ lr: 8.00e-04 ] [ eta: 16:05:25 ] [ l_g_mssim: 1.4161e-02 ] [ l_g_fdl: 7.3134e+00 ] [ l_g_consistency: 2.0757e-02 ] [ l_g_ldl: 4.7442e-03 ] [ l_g_gan: 1.8737e+00 ] [ l_g_total: 9.2268e+00 ] [ l_d_real: 4.5984e-03 ] [ out_d_real: 7.4688e+00 ] [ l_d_fake: 1.1457e-02 ] [ out_d_fake: -6.2188e+00 ] [ l_d_total: 8.0278e-03 ] 
+2025-05-14 16:28:08,350 INFO: [ epoch: 264 ] [ iter: 20,400 ] [ performance: 3.702 it/s ] [ lr: 8.00e-04 ] [ eta: 16:02:50 ] [ l_g_mssim: 2.6952e-02 ] [ l_g_fdl: 7.9486e+00 ] [ l_g_consistency: 2.0980e-02 ] [ l_g_ldl: 1.3566e-02 ] [ l_g_gan: 1.5480e+00 ] [ l_g_total: 9.5581e+00 ] [ l_d_real: 4.1454e-02 ] [ out_d_real: 6.1250e+00 ] [ l_d_fake: 1.1802e-01 ] [ out_d_fake: -5.0312e+00 ] [ l_d_total: 7.9736e-02 ] 
+2025-05-14 16:29:05,219 INFO: [ epoch: 267 ] [ iter: 20,600 ] [ performance: 3.522 it/s ] [ lr: 8.00e-04 ] [ eta: 16:00:41 ] [ l_g_mssim: 3.6270e-02 ] [ l_g_fdl: 8.7813e+00 ] [ l_g_consistency: 2.1996e-02 ] [ l_g_ldl: 1.9792e-02 ] [ l_g_gan: 2.3943e+00 ] [ l_g_total: 1.1254e+01 ] [ l_d_real: 2.2279e-04 ] [ out_d_real: 8.5000e+00 ] [ l_d_fake: 5.1236e-04 ] [ out_d_fake: -7.9688e+00 ] [ l_d_total: 3.6758e-04 ] 
+2025-05-14 16:30:03,809 INFO: [ epoch: 270 ] [ iter: 20,800 ] [ performance: 3.414 it/s ] [ lr: 8.00e-04 ] [ eta: 15:58:48 ] [ l_g_mssim: 2.3902e-02 ] [ l_g_fdl: 7.8868e+00 ] [ l_g_consistency: 1.9762e-02 ] [ l_g_ldl: 9.3609e-03 ] [ l_g_gan: 2.0661e+00 ] [ l_g_total: 1.0006e+01 ] [ l_d_real: 1.4044e+00 ] [ out_d_real: 3.1055e-01 ] [ l_d_fake: 4.5581e-01 ] [ out_d_fake: -6.4375e+00 ] [ l_d_total: 9.3011e-01 ] 
+2025-05-14 16:31:02,008 INFO: [ epoch: 272 ] [ iter: 21,000 ] [ performance: 3.433 it/s ] [ lr: 8.00e-04 ] [ eta: 15:56:53 ] [ l_g_mssim: 2.5024e-02 ] [ l_g_fdl: 8.1316e+00 ] [ l_g_consistency: 1.9391e-02 ] [ l_g_ldl: 8.4443e-03 ] [ l_g_gan: 1.8266e+00 ] [ l_g_total: 1.0011e+01 ] [ l_d_real: 4.8424e-01 ] [ out_d_real: 4.2500e+00 ] [ l_d_fake: 1.3566e-01 ] [ out_d_fake: -5.9688e+00 ] [ l_d_total: 3.0995e-01 ] 
+2025-05-14 16:31:02,008 INFO: Saving models and training states.
+2025-05-14 16:32:04,325 INFO: [ epoch: 275 ] [ iter: 21,200 ] [ performance: 3.322 it/s ] [ lr: 8.00e-04 ] [ eta: 15:55:33 ] [ l_g_mssim: 2.2758e-02 ] [ l_g_fdl: 7.8431e+00 ] [ l_g_consistency: 1.8112e-02 ] [ l_g_ldl: 8.9290e-03 ] [ l_g_gan: 2.2146e+00 ] [ l_g_total: 1.0108e+01 ] [ l_d_real: 8.4786e-02 ] [ out_d_real: 6.0000e+00 ] [ l_d_fake: 8.4557e-02 ] [ out_d_fake: -7.3125e+00 ] [ l_d_total: 8.4672e-02 ] 
+2025-05-14 16:33:02,320 INFO: [ epoch: 277 ] [ iter: 21,400 ] [ performance: 3.514 it/s ] [ lr: 8.00e-04 ] [ eta: 15:53:38 ] [ l_g_mssim: 3.3643e-02 ] [ l_g_fdl: 8.5162e+00 ] [ l_g_consistency: 1.6759e-02 ] [ l_g_ldl: 1.5174e-02 ] [ l_g_gan: 1.0157e+00 ] [ l_g_total: 9.5975e+00 ] [ l_d_real: 2.6166e+00 ] [ out_d_real: -1.6484e+00 ] [ l_d_fake: 3.8941e-01 ] [ out_d_fake: -3.0000e+00 ] [ l_d_total: 1.5030e+00 ] 
+2025-05-14 16:33:56,834 INFO: [ epoch: 280 ] [ iter: 21,600 ] [ performance: 3.796 it/s ] [ lr: 8.00e-04 ] [ eta: 15:51:15 ] [ l_g_mssim: 1.3298e-02 ] [ l_g_fdl: 7.0390e+00 ] [ l_g_consistency: 1.7071e-02 ] [ l_g_ldl: 3.6822e-03 ] [ l_g_gan: 1.5999e+00 ] [ l_g_total: 8.6730e+00 ] [ l_d_real: 2.6667e-01 ] [ out_d_real: 5.3750e+00 ] [ l_d_fake: 2.9779e-02 ] [ out_d_fake: -5.3125e+00 ] [ l_d_total: 1.4822e-01 ] 
+2025-05-14 16:34:49,316 INFO: [ epoch: 283 ] [ iter: 21,800 ] [ performance: 3.754 it/s ] [ lr: 8.00e-04 ] [ eta: 15:48:36 ] [ l_g_mssim: 2.4553e-02 ] [ l_g_fdl: 8.5686e+00 ] [ l_g_consistency: 1.8737e-02 ] [ l_g_ldl: 6.5784e-03 ] [ l_g_gan: 1.1887e+00 ] [ l_g_total: 9.8072e+00 ] [ l_d_real: 3.6461e-02 ] [ out_d_real: 4.6875e+00 ] [ l_d_fake: 5.2760e-01 ] [ out_d_fake: -3.4375e+00 ] [ l_d_total: 2.8203e-01 ] 
+2025-05-14 16:35:44,331 INFO: [ epoch: 285 ] [ iter: 22,000 ] [ performance: 3.534 it/s ] [ lr: 8.00e-04 ] [ eta: 15:46:21 ] [ l_g_mssim: 2.1285e-02 ] [ l_g_fdl: 7.7515e+00 ] [ l_g_consistency: 1.8590e-02 ] [ l_g_ldl: 6.9744e-03 ] [ l_g_gan: 1.3889e+00 ] [ l_g_total: 9.1872e+00 ] [ l_d_real: 5.1770e-03 ] [ out_d_real: 6.0000e+00 ] [ l_d_fake: 2.8080e-01 ] [ out_d_fake: -4.3438e+00 ] [ l_d_total: 1.4299e-01 ] 
+2025-05-14 16:35:44,331 INFO: Saving models and training states.
+2025-05-14 16:36:41,589 INFO: [ epoch: 288 ] [ iter: 22,200 ] [ performance: 3.553 it/s ] [ lr: 8.00e-04 ] [ eta: 15:44:25 ] [ l_g_mssim: 2.7935e-02 ] [ l_g_fdl: 7.8737e+00 ] [ l_g_consistency: 2.0093e-02 ] [ l_g_ldl: 1.5489e-02 ] [ l_g_gan: 2.0983e+00 ] [ l_g_total: 1.0036e+01 ] [ l_d_real: 6.3068e-04 ] [ out_d_real: 7.6562e+00 ] [ l_d_fake: 1.2568e-03 ] [ out_d_fake: -7.0000e+00 ] [ l_d_total: 9.4374e-04 ] 
+2025-05-14 16:37:38,206 INFO: [ epoch: 290 ] [ iter: 22,400 ] [ performance: 3.471 it/s ] [ lr: 8.00e-04 ] [ eta: 15:42:24 ] [ l_g_mssim: 2.1921e-02 ] [ l_g_fdl: 7.9231e+00 ] [ l_g_consistency: 1.8902e-02 ] [ l_g_ldl: 9.5606e-03 ] [ l_g_gan: 1.4515e+00 ] [ l_g_total: 9.4250e+00 ] [ l_d_real: 6.3099e-01 ] [ out_d_real: 2.5625e+00 ] [ l_d_fake: 9.7664e-03 ] [ out_d_fake: -4.8438e+00 ] [ l_d_total: 3.2038e-01 ] 
+2025-05-14 16:38:34,368 INFO: [ epoch: 293 ] [ iter: 22,600 ] [ performance: 3.551 it/s ] [ lr: 8.00e-04 ] [ eta: 15:40:22 ] [ l_g_mssim: 2.2540e-02 ] [ l_g_fdl: 8.3850e+00 ] [ l_g_consistency: 1.7838e-02 ] [ l_g_ldl: 1.7180e-03 ] [ l_g_gan: 1.1994e+00 ] [ l_g_total: 9.6264e+00 ] [ l_d_real: 8.3524e-01 ] [ out_d_real: 2.7031e+00 ] [ l_d_fake: 1.1212e-01 ] [ out_d_fake: -3.8906e+00 ] [ l_d_total: 4.7368e-01 ] 
+2025-05-14 16:39:30,068 INFO: [ epoch: 296 ] [ iter: 22,800 ] [ performance: 3.516 it/s ] [ lr: 8.00e-04 ] [ eta: 15:38:17 ] [ l_g_mssim: 2.2665e-02 ] [ l_g_fdl: 7.8464e+00 ] [ l_g_consistency: 1.8114e-02 ] [ l_g_ldl: 1.1787e-02 ] [ l_g_gan: 2.0196e+00 ] [ l_g_total: 9.9185e+00 ] [ l_d_real: 5.4317e-03 ] [ out_d_real: 7.1250e+00 ] [ l_d_fake: 1.3909e-03 ] [ out_d_fake: -6.7188e+00 ] [ l_d_total: 3.4113e-03 ] 
+2025-05-14 16:40:26,483 INFO: [ epoch: 298 ] [ iter: 23,000 ] [ performance: 3.447 it/s ] [ lr: 8.00e-04 ] [ eta: 15:36:18 ] [ l_g_mssim: 2.8310e-02 ] [ l_g_fdl: 7.8033e+00 ] [ l_g_consistency: 1.7026e-02 ] [ l_g_ldl: 1.5878e-02 ] [ l_g_gan: 2.1692e+00 ] [ l_g_total: 1.0034e+01 ] [ l_d_real: 2.7111e-01 ] [ out_d_real: 6.0312e+00 ] [ l_d_fake: 7.9835e-04 ] [ out_d_fake: -7.2188e+00 ] [ l_d_total: 1.3595e-01 ] 
+2025-05-14 16:40:26,483 INFO: Saving models and training states.
+2025-05-14 16:41:25,816 INFO: [ epoch: 301 ] [ iter: 23,200 ] [ performance: 3.505 it/s ] [ lr: 8.00e-04 ] [ eta: 15:34:43 ] [ l_g_mssim: 2.0844e-02 ] [ l_g_fdl: 8.0880e+00 ] [ l_g_consistency: 1.7210e-02 ] [ l_g_ldl: 1.7072e-03 ] [ l_g_gan: 2.0347e+00 ] [ l_g_total: 1.0162e+01 ] [ l_d_real: 1.3417e-01 ] [ out_d_real: 6.2188e+00 ] [ l_d_fake: 3.8450e-02 ] [ out_d_fake: -6.7500e+00 ] [ l_d_total: 8.6308e-02 ] 
+2025-05-14 16:42:23,345 INFO: [ epoch: 303 ] [ iter: 23,400 ] [ performance: 3.432 it/s ] [ lr: 8.00e-04 ] [ eta: 15:32:55 ] [ l_g_mssim: 1.9756e-02 ] [ l_g_fdl: 7.4165e+00 ] [ l_g_consistency: 2.1972e-02 ] [ l_g_ldl: 8.0097e-03 ] [ l_g_gan: 1.5843e+00 ] [ l_g_total: 9.0505e+00 ] [ l_d_real: 3.5396e-01 ] [ out_d_real: 5.4062e+00 ] [ l_d_fake: 1.8759e-01 ] [ out_d_fake: -5.0938e+00 ] [ l_d_total: 2.7078e-01 ] 
+2025-05-14 16:43:21,305 INFO: [ epoch: 306 ] [ iter: 23,600 ] [ performance: 3.475 it/s ] [ lr: 8.00e-04 ] [ eta: 15:31:11 ] [ l_g_mssim: 2.6291e-02 ] [ l_g_fdl: 7.8739e+00 ] [ l_g_consistency: 1.7856e-02 ] [ l_g_ldl: 1.2577e-02 ] [ l_g_gan: 1.8104e+00 ] [ l_g_total: 9.7410e+00 ] [ l_d_real: 9.9118e-02 ] [ out_d_real: 3.8906e+00 ] [ l_d_fake: 5.4788e-03 ] [ out_d_fake: -6.0312e+00 ] [ l_d_total: 5.2299e-02 ] 
+2025-05-14 16:44:18,921 INFO: [ epoch: 309 ] [ iter: 23,800 ] [ performance: 3.483 it/s ] [ lr: 8.00e-04 ] [ eta: 15:29:25 ] [ l_g_mssim: 3.1590e-02 ] [ l_g_fdl: 8.1441e+00 ] [ l_g_consistency: 2.2461e-02 ] [ l_g_ldl: 1.4141e-02 ] [ l_g_gan: 2.2420e+00 ] [ l_g_total: 1.0454e+01 ] [ l_d_real: 5.2288e-01 ] [ out_d_real: 7.0938e+00 ] [ l_d_fake: 5.2343e-01 ] [ out_d_fake: -6.9375e+00 ] [ l_d_total: 5.2316e-01 ] 
+2025-05-14 16:45:16,715 INFO: [ epoch: 311 ] [ iter: 24,000 ] [ performance: 3.388 it/s ] [ lr: 8.00e-04 ] [ eta: 15:27:42 ] [ l_g_mssim: 1.6099e-02 ] [ l_g_fdl: 7.0366e+00 ] [ l_g_consistency: 1.6314e-02 ] [ l_g_ldl: 6.7847e-03 ] [ l_g_gan: 1.1295e+00 ] [ l_g_total: 8.2052e+00 ] [ l_d_real: 1.4166e+00 ] [ out_d_real: 3.6719e+00 ] [ l_d_fake: 3.9878e-01 ] [ out_d_fake: -3.3594e+00 ] [ l_d_total: 9.0768e-01 ] 
+2025-05-14 16:45:16,716 INFO: Saving models and training states.
+2025-05-14 16:46:15,527 INFO: [ epoch: 314 ] [ iter: 24,200 ] [ performance: 3.439 it/s ] [ lr: 8.00e-04 ] [ eta: 15:26:06 ] [ l_g_mssim: 1.9869e-02 ] [ l_g_fdl: 7.6306e+00 ] [ l_g_consistency: 1.8236e-02 ] [ l_g_ldl: 1.2518e-02 ] [ l_g_gan: 1.7074e+00 ] [ l_g_total: 9.3887e+00 ] [ l_d_real: 9.7658e-02 ] [ out_d_real: 5.2812e+00 ] [ l_d_fake: 1.9813e-02 ] [ out_d_fake: -5.6562e+00 ] [ l_d_total: 5.8736e-02 ] 
+2025-05-14 16:47:12,728 INFO: [ epoch: 316 ] [ iter: 24,400 ] [ performance: 3.450 it/s ] [ lr: 8.00e-04 ] [ eta: 15:24:20 ] [ l_g_mssim: 2.3140e-02 ] [ l_g_fdl: 7.8578e+00 ] [ l_g_consistency: 1.8720e-02 ] [ l_g_ldl: 8.3311e-03 ] [ l_g_gan: 2.0122e+00 ] [ l_g_total: 9.9201e+00 ] [ l_d_real: 3.3264e-02 ] [ out_d_real: 6.2188e+00 ] [ l_d_fake: 7.3728e-02 ] [ out_d_fake: -6.6250e+00 ] [ l_d_total: 5.3496e-02 ] 
+2025-05-14 16:48:09,300 INFO: [ epoch: 319 ] [ iter: 24,600 ] [ performance: 3.658 it/s ] [ lr: 8.00e-04 ] [ eta: 15:22:30 ] [ l_g_mssim: 3.1771e-02 ] [ l_g_fdl: 8.1477e+00 ] [ l_g_consistency: 2.3034e-02 ] [ l_g_ldl: 1.5973e-02 ] [ l_g_gan: 2.3743e+00 ] [ l_g_total: 1.0593e+01 ] [ l_d_real: 3.1030e-03 ] [ out_d_real: 8.1875e+00 ] [ l_d_fake: 1.0207e+00 ] [ out_d_fake: -6.9062e+00 ] [ l_d_total: 5.1188e-01 ] 
+2025-05-14 16:49:06,451 INFO: [ epoch: 322 ] [ iter: 24,800 ] [ performance: 3.556 it/s ] [ lr: 8.00e-04 ] [ eta: 15:20:44 ] [ l_g_mssim: 2.4983e-02 ] [ l_g_fdl: 8.4785e+00 ] [ l_g_consistency: 1.8572e-02 ] [ l_g_ldl: 2.5683e-03 ] [ l_g_gan: 1.9926e+00 ] [ l_g_total: 1.0517e+01 ] [ l_d_real: 6.9187e-01 ] [ out_d_real: 4.5625e+00 ] [ l_d_fake: 7.2589e-02 ] [ out_d_fake: -6.5625e+00 ] [ l_d_total: 3.8223e-01 ] 
+2025-05-14 16:50:04,016 INFO: [ epoch: 324 ] [ iter: 25,000 ] [ performance: 3.506 it/s ] [ lr: 8.00e-04 ] [ eta: 15:19:03 ] [ l_g_mssim: 1.8058e-02 ] [ l_g_fdl: 7.8445e+00 ] [ l_g_consistency: 1.6334e-02 ] [ l_g_ldl: 6.8980e-03 ] [ l_g_gan: 1.4610e+00 ] [ l_g_total: 9.3468e+00 ] [ l_d_real: 3.8004e-01 ] [ out_d_real: 3.0625e+00 ] [ l_d_fake: 1.5467e-02 ] [ out_d_fake: -4.8438e+00 ] [ l_d_total: 1.9775e-01 ] 
+2025-05-14 16:50:04,017 INFO: Saving models and training states.
+2025-05-14 16:51:01,934 INFO: [ epoch: 327 ] [ iter: 25,200 ] [ performance: 3.513 it/s ] [ lr: 8.00e-04 ] [ eta: 15:17:24 ] [ l_g_mssim: 1.0044e-02 ] [ l_g_fdl: 6.9155e+00 ] [ l_g_consistency: 1.5948e-02 ] [ l_g_ldl: 2.7898e-03 ] [ l_g_gan: 1.7538e+00 ] [ l_g_total: 8.6981e+00 ] [ l_d_real: 2.0425e-01 ] [ out_d_real: 5.0312e+00 ] [ l_d_fake: 7.9194e-01 ] [ out_d_fake: -5.0625e+00 ] [ l_d_total: 4.9810e-01 ] 
+2025-05-14 16:52:02,570 INFO: [ epoch: 329 ] [ iter: 25,400 ] [ performance: 3.355 it/s ] [ lr: 8.00e-04 ] [ eta: 15:16:05 ] [ l_g_mssim: 1.8806e-02 ] [ l_g_fdl: 8.5025e+00 ] [ l_g_consistency: 1.4281e-02 ] [ l_g_ldl: 3.1646e-03 ] [ l_g_gan: 1.5381e+00 ] [ l_g_total: 1.0077e+01 ] [ l_d_real: 1.5045e-02 ] [ out_d_real: 5.5000e+00 ] [ l_d_fake: 1.8078e-02 ] [ out_d_fake: -5.0938e+00 ] [ l_d_total: 1.6561e-02 ] 
+2025-05-14 16:53:01,628 INFO: [ epoch: 332 ] [ iter: 25,600 ] [ performance: 3.433 it/s ] [ lr: 8.00e-04 ] [ eta: 15:14:36 ] [ l_g_mssim: 2.3593e-02 ] [ l_g_fdl: 7.7099e+00 ] [ l_g_consistency: 1.8509e-02 ] [ l_g_ldl: 9.6012e-03 ] [ l_g_gan: 1.9697e+00 ] [ l_g_total: 9.7314e+00 ] [ l_d_real: 1.0059e-01 ] [ out_d_real: 6.1562e+00 ] [ l_d_fake: 2.3085e-03 ] [ out_d_fake: -6.5625e+00 ] [ l_d_total: 5.1447e-02 ] 
+2025-05-14 16:53:59,516 INFO: [ epoch: 335 ] [ iter: 25,800 ] [ performance: 3.432 it/s ] [ lr: 8.00e-04 ] [ eta: 15:12:59 ] [ l_g_mssim: 2.1043e-02 ] [ l_g_fdl: 7.6969e+00 ] [ l_g_consistency: 1.4966e-02 ] [ l_g_ldl: 1.0273e-02 ] [ l_g_gan: 2.3125e+00 ] [ l_g_total: 1.0056e+01 ] [ l_d_real: 1.1454e-01 ] [ out_d_real: 5.3750e+00 ] [ l_d_fake: 3.9808e-02 ] [ out_d_fake: -7.6562e+00 ] [ l_d_total: 7.7174e-02 ] 
+2025-05-14 16:54:56,776 INFO: [ epoch: 337 ] [ iter: 26,000 ] [ performance: 3.430 it/s ] [ lr: 8.00e-04 ] [ eta: 15:11:18 ] [ l_g_mssim: 2.5549e-02 ] [ l_g_fdl: 7.6867e+00 ] [ l_g_consistency: 2.2134e-02 ] [ l_g_ldl: 1.1370e-02 ] [ l_g_gan: 1.8897e+00 ] [ l_g_total: 9.6354e+00 ] [ l_d_real: 1.4140e-02 ] [ out_d_real: 5.2812e+00 ] [ l_d_fake: 4.1853e-02 ] [ out_d_fake: -6.2500e+00 ] [ l_d_total: 2.7997e-02 ] 
+2025-05-14 16:54:56,776 INFO: Saving models and training states.
+2025-05-14 16:55:53,996 INFO: [ epoch: 340 ] [ iter: 26,200 ] [ performance: 3.628 it/s ] [ lr: 8.00e-04 ] [ eta: 15:09:38 ] [ l_g_mssim: 2.0244e-02 ] [ l_g_fdl: 7.6536e+00 ] [ l_g_consistency: 1.6800e-02 ] [ l_g_ldl: 6.4910e-03 ] [ l_g_gan: 1.8837e+00 ] [ l_g_total: 9.5809e+00 ] [ l_d_real: 2.8976e-01 ] [ out_d_real: 7.2812e+00 ] [ l_d_fake: 8.5109e-01 ] [ out_d_fake: -5.4375e+00 ] [ l_d_total: 5.7042e-01 ] 
+2025-05-14 16:56:49,806 INFO: [ epoch: 342 ] [ iter: 26,400 ] [ performance: 3.418 it/s ] [ lr: 8.00e-04 ] [ eta: 15:07:49 ] [ l_g_mssim: 1.6981e-02 ] [ l_g_fdl: 7.9427e+00 ] [ l_g_consistency: 1.3798e-02 ] [ l_g_ldl: 1.3174e-03 ] [ l_g_gan: 1.7537e+00 ] [ l_g_total: 9.7285e+00 ] [ l_d_real: 1.4425e+00 ] [ out_d_real: 3.0781e+00 ] [ l_d_fake: 3.9308e-03 ] [ out_d_fake: -5.8438e+00 ] [ l_d_total: 7.2321e-01 ] 
+2025-05-14 16:57:48,445 INFO: [ epoch: 345 ] [ iter: 26,600 ] [ performance: 3.264 it/s ] [ lr: 8.00e-04 ] [ eta: 15:06:19 ] [ l_g_mssim: 1.3659e-02 ] [ l_g_fdl: 7.4382e+00 ] [ l_g_consistency: 1.8699e-02 ] [ l_g_ldl: 4.1346e-03 ] [ l_g_gan: 1.2171e+00 ] [ l_g_total: 8.6918e+00 ] [ l_d_real: 2.9779e-01 ] [ out_d_real: 4.3438e+00 ] [ l_d_fake: 1.2674e+00 ] [ out_d_fake: -2.7969e+00 ] [ l_d_total: 7.8259e-01 ] 
+2025-05-14 16:58:43,893 INFO: [ epoch: 348 ] [ iter: 26,800 ] [ performance: 3.438 it/s ] [ lr: 8.00e-04 ] [ eta: 15:04:30 ] [ l_g_mssim: 2.5628e-02 ] [ l_g_fdl: 8.6904e+00 ] [ l_g_consistency: 1.5880e-02 ] [ l_g_ldl: 2.3890e-03 ] [ l_g_gan: 1.7365e+00 ] [ l_g_total: 1.0471e+01 ] [ l_d_real: 1.8088e-01 ] [ out_d_real: 6.5000e+00 ] [ l_d_fake: 3.7237e-03 ] [ out_d_fake: -5.7812e+00 ] [ l_d_total: 9.2301e-02 ] 
+2025-05-14 16:59:41,594 INFO: [ epoch: 350 ] [ iter: 27,000 ] [ performance: 3.442 it/s ] [ lr: 8.00e-04 ] [ eta: 15:02:55 ] [ l_g_mssim: 2.8296e-02 ] [ l_g_fdl: 7.9813e+00 ] [ l_g_consistency: 2.0533e-02 ] [ l_g_ldl: 1.3202e-02 ] [ l_g_gan: 1.4945e+00 ] [ l_g_total: 9.5378e+00 ] [ l_d_real: 1.3226e-03 ] [ out_d_real: 7.4062e+00 ] [ l_d_fake: 9.6707e-03 ] [ out_d_fake: -4.9688e+00 ] [ l_d_total: 5.4966e-03 ] 
+2025-05-14 16:59:41,594 INFO: Saving models and training states.

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