LLFormer -DA lam =1

发布时间 2023-05-31 16:27:57作者: helloWorldhelloWorld
/home/mmsys/anaconda3/envs/LLFormer/bin/python /media/mmsys/6f1091c9-4ed8-4a10-a03d-2acef144d2e1/SXY/ablation/LLormer-DA/train_psnrssim.py
load training yaml file: configs/LOL/train/training_LOL.yaml
==> Build the model
==> Loading datasets
==> Training details:
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    Restoration mode:   LLFormer_LOL-DA
    Train patches size: 128x128
    Val patches size:   128x128
    Model parameters:   24549014
    Start/End epochs:   1~500
    Batch sizes:        1
    Learning rate:      1e-4
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==> Training start: 
100%|██████████| 485/485 [03:03<00:00,  2.64it/s]
[epoch 1 PSNR: 12.9392 --- best_epoch 1 Best_PSNR 12.9392]
[epoch 1 SSIM: 0.2422 --- best_epoch 1 Best_SSIM 0.2422]
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Epoch: 1    Time: 236.9543    Loss: 300.6611    LearningRate 0.000067
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100%|██████████| 485/485 [03:00<00:00,  2.68it/s]
[epoch 2 PSNR: 13.2200 --- best_epoch 2 Best_PSNR 13.2200]
[epoch 2 SSIM: 0.4242 --- best_epoch 2 Best_SSIM 0.4242]
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Epoch: 2    Time: 234.5352    Loss: 155.4707    LearningRate 0.000100
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100%|██████████| 485/485 [03:06<00:00,  2.60it/s]
[epoch 3 PSNR: 13.2780 --- best_epoch 3 Best_PSNR 13.2780]
[epoch 3 SSIM: 0.4221 --- best_epoch 2 Best_SSIM 0.4242]
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Epoch: 3    Time: 237.6840    Loss: 127.2522    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 4 PSNR: 13.5298 --- best_epoch 4 Best_PSNR 13.5298]
[epoch 4 SSIM: 0.4267 --- best_epoch 4 Best_SSIM 0.4267]
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Epoch: 4    Time: 245.9495    Loss: 116.8293    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 5 PSNR: 13.6178 --- best_epoch 5 Best_PSNR 13.6178]
[epoch 5 SSIM: 0.4116 --- best_epoch 4 Best_SSIM 0.4267]
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Epoch: 5    Time: 242.7179    Loss: 102.6880    LearningRate 0.000100
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100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 6 PSNR: 13.4869 --- best_epoch 5 Best_PSNR 13.6178]
[epoch 6 SSIM: 0.4293 --- best_epoch 6 Best_SSIM 0.4293]
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Epoch: 6    Time: 243.0979    Loss: 100.2496    LearningRate 0.000100
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100%|██████████| 485/485 [03:09<00:00,  2.57it/s]
[epoch 7 PSNR: 13.6978 --- best_epoch 7 Best_PSNR 13.6978]
[epoch 7 SSIM: 0.4231 --- best_epoch 6 Best_SSIM 0.4293]
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Epoch: 7    Time: 241.4643    Loss: 98.5784    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 8 PSNR: 13.5177 --- best_epoch 7 Best_PSNR 13.6978]
[epoch 8 SSIM: 0.4223 --- best_epoch 6 Best_SSIM 0.4293]
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Epoch: 8    Time: 241.2489    Loss: 93.1802    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 9 PSNR: 13.6095 --- best_epoch 7 Best_PSNR 13.6978]
[epoch 9 SSIM: 0.4435 --- best_epoch 9 Best_SSIM 0.4435]
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Epoch: 9    Time: 243.0430    Loss: 91.0201    LearningRate 0.000100
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100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 10 PSNR: 14.2383 --- best_epoch 10 Best_PSNR 14.2383]
[epoch 10 SSIM: 0.4534 --- best_epoch 10 Best_SSIM 0.4534]
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Epoch: 10    Time: 245.6985    Loss: 87.8424    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 11 PSNR: 14.2507 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 11 SSIM: 0.4801 --- best_epoch 11 Best_SSIM 0.4801]
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Epoch: 11    Time: 245.8451    Loss: 86.7920    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 12 PSNR: 13.6300 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 12 SSIM: 0.4323 --- best_epoch 11 Best_SSIM 0.4801]
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Epoch: 12    Time: 241.2346    Loss: 85.7409    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 13 PSNR: 12.4237 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 13 SSIM: 0.4517 --- best_epoch 11 Best_SSIM 0.4801]
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Epoch: 13    Time: 239.9842    Loss: 83.0741    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 14 PSNR: 14.1661 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 14 SSIM: 0.4842 --- best_epoch 14 Best_SSIM 0.4842]
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Epoch: 14    Time: 244.1370    Loss: 82.9281    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 15 PSNR: 13.3518 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 15 SSIM: 0.4711 --- best_epoch 14 Best_SSIM 0.4842]
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Epoch: 15    Time: 239.9422    Loss: 82.8702    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 16 PSNR: 12.8262 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 16 SSIM: 0.4632 --- best_epoch 14 Best_SSIM 0.4842]
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Epoch: 16    Time: 240.7426    Loss: 81.4726    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 17 PSNR: 13.3852 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 17 SSIM: 0.4753 --- best_epoch 14 Best_SSIM 0.4842]
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Epoch: 17    Time: 240.3797    Loss: 81.9502    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 18 PSNR: 13.0936 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 18 SSIM: 0.4560 --- best_epoch 14 Best_SSIM 0.4842]
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Epoch: 18    Time: 241.5072    Loss: 81.9861    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 19 PSNR: 13.2399 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 19 SSIM: 0.4639 --- best_epoch 14 Best_SSIM 0.4842]
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Epoch: 19    Time: 240.4171    Loss: 80.2475    LearningRate 0.000100
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 20 PSNR: 14.0860 --- best_epoch 11 Best_PSNR 14.2507]
[epoch 20 SSIM: 0.4695 --- best_epoch 14 Best_SSIM 0.4842]
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Epoch: 20    Time: 240.2203    Loss: 79.7678    LearningRate 0.000100
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100%|██████████| 485/485 [03:13<00:00,  2.51it/s]
[epoch 21 PSNR: 14.4695 --- best_epoch 21 Best_PSNR 14.4695]
[epoch 21 SSIM: 0.4962 --- best_epoch 21 Best_SSIM 0.4962]
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Epoch: 21    Time: 247.5349    Loss: 78.9512    LearningRate 0.000100
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 22 PSNR: 14.4645 --- best_epoch 21 Best_PSNR 14.4695]
[epoch 22 SSIM: 0.4944 --- best_epoch 21 Best_SSIM 0.4962]
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Epoch: 22    Time: 239.3161    Loss: 81.3114    LearningRate 0.000100
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 23 PSNR: 13.9300 --- best_epoch 21 Best_PSNR 14.4695]
[epoch 23 SSIM: 0.4905 --- best_epoch 21 Best_SSIM 0.4962]
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Epoch: 23    Time: 239.4963    Loss: 79.0123    LearningRate 0.000100
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 24 PSNR: 13.9197 --- best_epoch 21 Best_PSNR 14.4695]
[epoch 24 SSIM: 0.4854 --- best_epoch 21 Best_SSIM 0.4962]
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Epoch: 24    Time: 241.5130    Loss: 79.9127    LearningRate 0.000100
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 25 PSNR: 14.5532 --- best_epoch 25 Best_PSNR 14.5532]
[epoch 25 SSIM: 0.4972 --- best_epoch 25 Best_SSIM 0.4972]
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Epoch: 25    Time: 244.4979    Loss: 78.0317    LearningRate 0.000099
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100%|██████████| 485/485 [03:11<00:00,  2.54it/s]
[epoch 26 PSNR: 14.3044 --- best_epoch 25 Best_PSNR 14.5532]
[epoch 26 SSIM: 0.4942 --- best_epoch 25 Best_SSIM 0.4972]
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Epoch: 26    Time: 241.2161    Loss: 80.9282    LearningRate 0.000099
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 27 PSNR: 15.0169 --- best_epoch 27 Best_PSNR 15.0169]
[epoch 27 SSIM: 0.5007 --- best_epoch 27 Best_SSIM 0.5007]
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Epoch: 27    Time: 244.5918    Loss: 80.1729    LearningRate 0.000099
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 28 PSNR: 14.5165 --- best_epoch 27 Best_PSNR 15.0169]
[epoch 28 SSIM: 0.4990 --- best_epoch 27 Best_SSIM 0.5007]
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Epoch: 28    Time: 240.1564    Loss: 80.0008    LearningRate 0.000099
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 29 PSNR: 15.0566 --- best_epoch 29 Best_PSNR 15.0566]
[epoch 29 SSIM: 0.5079 --- best_epoch 29 Best_SSIM 0.5079]
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Epoch: 29    Time: 244.1492    Loss: 80.4654    LearningRate 0.000099
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 30 PSNR: 15.2334 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 30 SSIM: 0.5148 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 30    Time: 245.2543    Loss: 78.8067    LearningRate 0.000099
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100%|██████████| 485/485 [03:08<00:00,  2.57it/s]
[epoch 31 PSNR: 14.8513 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 31 SSIM: 0.5033 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 31    Time: 239.1968    Loss: 77.4602    LearningRate 0.000099
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 32 PSNR: 14.6775 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 32 SSIM: 0.4989 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 32    Time: 239.9141    Loss: 77.7658    LearningRate 0.000099
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 33 PSNR: 13.3112 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 33 SSIM: 0.4867 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 33    Time: 239.5179    Loss: 78.5356    LearningRate 0.000099
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 34 PSNR: 15.1050 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 34 SSIM: 0.5078 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 34    Time: 240.0685    Loss: 75.5973    LearningRate 0.000099
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100%|██████████| 485/485 [03:08<00:00,  2.57it/s]
[epoch 35 PSNR: 14.4734 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 35 SSIM: 0.5004 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 35    Time: 239.3931    Loss: 77.2141    LearningRate 0.000099
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 36 PSNR: 14.8251 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 36 SSIM: 0.5081 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 36    Time: 240.8083    Loss: 77.4241    LearningRate 0.000099
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100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 37 PSNR: 13.3368 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 37 SSIM: 0.4604 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 37    Time: 240.1561    Loss: 76.3514    LearningRate 0.000099
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 38 PSNR: 13.7987 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 38 SSIM: 0.4749 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 38    Time: 240.5590    Loss: 75.9244    LearningRate 0.000099
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 39 PSNR: 13.9483 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 39 SSIM: 0.4991 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 39    Time: 240.1905    Loss: 76.5482    LearningRate 0.000099
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100%|██████████| 485/485 [03:08<00:00,  2.57it/s]
[epoch 40 PSNR: 15.2167 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 40 SSIM: 0.5117 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 40    Time: 238.3952    Loss: 79.2601    LearningRate 0.000099
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100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 41 PSNR: 14.6197 --- best_epoch 30 Best_PSNR 15.2334]
[epoch 41 SSIM: 0.4864 --- best_epoch 30 Best_SSIM 0.5148]
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Epoch: 41    Time: 240.3929    Loss: 74.8834    LearningRate 0.000099
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 42 PSNR: 15.3286 --- best_epoch 42 Best_PSNR 15.3286]
[epoch 42 SSIM: 0.5183 --- best_epoch 42 Best_SSIM 0.5183]
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Epoch: 42    Time: 245.6409    Loss: 75.7780    LearningRate 0.000098
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 43 PSNR: 14.4983 --- best_epoch 42 Best_PSNR 15.3286]
[epoch 43 SSIM: 0.4913 --- best_epoch 42 Best_SSIM 0.5183]
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Epoch: 43    Time: 239.8966    Loss: 75.5054    LearningRate 0.000098
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100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 44 PSNR: 14.8328 --- best_epoch 42 Best_PSNR 15.3286]
[epoch 44 SSIM: 0.5088 --- best_epoch 42 Best_SSIM 0.5183]
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Epoch: 44    Time: 239.9366    Loss: 78.8608    LearningRate 0.000098
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 45 PSNR: 13.6886 --- best_epoch 42 Best_PSNR 15.3286]
[epoch 45 SSIM: 0.4919 --- best_epoch 42 Best_SSIM 0.5183]
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Epoch: 45    Time: 241.1952    Loss: 78.4922    LearningRate 0.000098
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 46 PSNR: 14.1341 --- best_epoch 42 Best_PSNR 15.3286]
[epoch 46 SSIM: 0.5049 --- best_epoch 42 Best_SSIM 0.5183]
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Epoch: 46    Time: 239.8078    Loss: 76.8635    LearningRate 0.000098
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 47 PSNR: 10.9450 --- best_epoch 42 Best_PSNR 15.3286]
[epoch 47 SSIM: 0.4580 --- best_epoch 42 Best_SSIM 0.5183]
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Epoch: 47    Time: 240.1842    Loss: 77.4210    LearningRate 0.000098
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 48 PSNR: 13.0694 --- best_epoch 42 Best_PSNR 15.3286]
[epoch 48 SSIM: 0.4902 --- best_epoch 42 Best_SSIM 0.5183]
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Epoch: 48    Time: 239.7309    Loss: 75.9978    LearningRate 0.000098
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100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 49 PSNR: 14.0484 --- best_epoch 42 Best_PSNR 15.3286]
[epoch 49 SSIM: 0.5027 --- best_epoch 42 Best_SSIM 0.5183]
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Epoch: 49    Time: 240.4878    Loss: 76.6017    LearningRate 0.000098
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 50 PSNR: 15.5054 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 50 SSIM: 0.5190 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 50    Time: 244.0712    Loss: 75.7120    LearningRate 0.000098
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 51 PSNR: 14.7156 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 51 SSIM: 0.5118 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 51    Time: 240.3070    Loss: 75.4484    LearningRate 0.000098
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 52 PSNR: 14.1065 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 52 SSIM: 0.4992 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 52    Time: 239.2526    Loss: 75.2371    LearningRate 0.000098
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100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 53 PSNR: 12.6133 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 53 SSIM: 0.4817 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 53    Time: 240.1624    Loss: 76.9093    LearningRate 0.000097
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 54 PSNR: 14.9350 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 54 SSIM: 0.5168 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 54    Time: 240.0452    Loss: 73.0691    LearningRate 0.000097
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100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 55 PSNR: 14.3905 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 55 SSIM: 0.5058 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 55    Time: 240.7184    Loss: 75.2322    LearningRate 0.000097
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100%|██████████| 485/485 [03:11<00:00,  2.54it/s]
[epoch 56 PSNR: 14.8735 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 56 SSIM: 0.5135 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 56    Time: 241.4215    Loss: 77.4396    LearningRate 0.000097
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 57 PSNR: 13.7998 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 57 SSIM: 0.4969 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 57    Time: 238.8866    Loss: 71.1801    LearningRate 0.000097
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 58 PSNR: 13.6894 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 58 SSIM: 0.5021 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 58    Time: 240.5808    Loss: 75.0319    LearningRate 0.000097
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 59 PSNR: 14.6827 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 59 SSIM: 0.5027 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 59    Time: 239.9513    Loss: 76.0319    LearningRate 0.000097
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100%|██████████| 485/485 [03:08<00:00,  2.57it/s]
[epoch 60 PSNR: 14.6852 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 60 SSIM: 0.5117 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 60    Time: 238.8071    Loss: 73.5957    LearningRate 0.000097
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 61 PSNR: 13.5616 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 61 SSIM: 0.4971 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 61    Time: 239.3586    Loss: 72.0091    LearningRate 0.000097
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 62 PSNR: 14.4594 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 62 SSIM: 0.5117 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 62    Time: 240.1853    Loss: 74.3871    LearningRate 0.000096
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 63 PSNR: 14.6339 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 63 SSIM: 0.5157 --- best_epoch 50 Best_SSIM 0.5190]
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Epoch: 63    Time: 239.8599    Loss: 74.7018    LearningRate 0.000096
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 64 PSNR: 15.4361 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 64 SSIM: 0.5234 --- best_epoch 64 Best_SSIM 0.5234]
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Epoch: 64    Time: 242.9569    Loss: 75.1196    LearningRate 0.000096
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 65 PSNR: 14.1652 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 65 SSIM: 0.5033 --- best_epoch 64 Best_SSIM 0.5234]
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Epoch: 65    Time: 239.3522    Loss: 71.8825    LearningRate 0.000096
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100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 66 PSNR: 14.7230 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 66 SSIM: 0.5143 --- best_epoch 64 Best_SSIM 0.5234]
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Epoch: 66    Time: 240.5999    Loss: 72.2329    LearningRate 0.000096
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 67 PSNR: 14.5734 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 67 SSIM: 0.5143 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 67    Time: 239.7080    Loss: 73.6255    LearningRate 0.000096
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100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 68 PSNR: 14.9847 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 68 SSIM: 0.5170 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 68    Time: 240.7693    Loss: 74.7068    LearningRate 0.000096
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100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 69 PSNR: 13.2297 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 69 SSIM: 0.4925 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 69    Time: 239.6196    Loss: 76.5027    LearningRate 0.000096
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 70 PSNR: 14.5605 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 70 SSIM: 0.5067 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 70    Time: 240.1681    Loss: 74.5328    LearningRate 0.000095
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 71 PSNR: 15.2959 --- best_epoch 50 Best_PSNR 15.5054]
[epoch 71 SSIM: 0.5219 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 71    Time: 240.0417    Loss: 75.2580    LearningRate 0.000095
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 72 PSNR: 15.5987 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 72 SSIM: 0.5197 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 72    Time: 243.1639    Loss: 74.0990    LearningRate 0.000095
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 73 PSNR: 13.5257 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 73 SSIM: 0.4983 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 73    Time: 240.2263    Loss: 72.2422    LearningRate 0.000095
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 74 PSNR: 14.7637 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 74 SSIM: 0.5127 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 74    Time: 241.1158    Loss: 73.6175    LearningRate 0.000095
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 75 PSNR: 14.9682 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 75 SSIM: 0.5180 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 75    Time: 239.6722    Loss: 73.8762    LearningRate 0.000095
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 76 PSNR: 14.1028 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 76 SSIM: 0.5055 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 76    Time: 239.1607    Loss: 72.6612    LearningRate 0.000095
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 77 PSNR: 13.4040 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 77 SSIM: 0.4991 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 77    Time: 239.2110    Loss: 72.8090    LearningRate 0.000095
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 78 PSNR: 13.5966 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 78 SSIM: 0.5005 --- best_epoch 64 Best_SSIM 0.5234]
------------------------------------------------------------------
Epoch: 78    Time: 240.1477    Loss: 74.1740    LearningRate 0.000094
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 79 PSNR: 15.3327 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 79 SSIM: 0.5266 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 79    Time: 243.0586    Loss: 73.6473    LearningRate 0.000094
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.54it/s]
[epoch 80 PSNR: 14.6878 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 80 SSIM: 0.5138 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 80    Time: 240.5102    Loss: 72.6360    LearningRate 0.000094
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.57it/s]
[epoch 81 PSNR: 14.3763 --- best_epoch 72 Best_PSNR 15.5987]
[epoch 81 SSIM: 0.5100 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 81    Time: 239.3289    Loss: 73.7046    LearningRate 0.000094
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 82 PSNR: 15.6086 --- best_epoch 82 Best_PSNR 15.6086]
[epoch 82 SSIM: 0.5175 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 82    Time: 242.1163    Loss: 74.6069    LearningRate 0.000094
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 83 PSNR: 14.1110 --- best_epoch 82 Best_PSNR 15.6086]
[epoch 83 SSIM: 0.5092 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 83    Time: 239.9854    Loss: 72.1454    LearningRate 0.000094
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 84 PSNR: 15.5376 --- best_epoch 82 Best_PSNR 15.6086]
[epoch 84 SSIM: 0.5200 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 84    Time: 239.5732    Loss: 73.6839    LearningRate 0.000094
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 85 PSNR: 14.4315 --- best_epoch 82 Best_PSNR 15.6086]
[epoch 85 SSIM: 0.5100 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 85    Time: 241.0931    Loss: 72.7796    LearningRate 0.000093
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 86 PSNR: 15.0133 --- best_epoch 82 Best_PSNR 15.6086]
[epoch 86 SSIM: 0.5163 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 86    Time: 239.6271    Loss: 73.4423    LearningRate 0.000093
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 87 PSNR: 15.3330 --- best_epoch 82 Best_PSNR 15.6086]
[epoch 87 SSIM: 0.5141 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 87    Time: 240.4622    Loss: 71.7696    LearningRate 0.000093
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.55it/s]
[epoch 88 PSNR: 14.4690 --- best_epoch 82 Best_PSNR 15.6086]
[epoch 88 SSIM: 0.5059 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 88    Time: 240.0357    Loss: 72.1429    LearningRate 0.000093
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 89 PSNR: 15.8675 --- best_epoch 89 Best_PSNR 15.8675]
[epoch 89 SSIM: 0.5100 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 89    Time: 243.2063    Loss: 73.7085    LearningRate 0.000093
------------------------------------------------------------------
100%|██████████| 485/485 [03:09<00:00,  2.56it/s]
[epoch 90 PSNR: 13.9559 --- best_epoch 89 Best_PSNR 15.8675]
[epoch 90 SSIM: 0.5073 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 90    Time: 239.4461    Loss: 71.9671    LearningRate 0.000093
------------------------------------------------------------------
100%|██████████| 485/485 [03:10<00:00,  2.55it/s]
[epoch 91 PSNR: 15.2135 --- best_epoch 89 Best_PSNR 15.8675]
[epoch 91 SSIM: 0.5192 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 91    Time: 240.8997    Loss: 69.8153    LearningRate 0.000092
------------------------------------------------------------------
100%|██████████| 485/485 [03:11<00:00,  2.54it/s]
[epoch 92 PSNR: 15.1205 --- best_epoch 89 Best_PSNR 15.8675]
[epoch 92 SSIM: 0.4758 --- best_epoch 79 Best_SSIM 0.5266]
------------------------------------------------------------------
Epoch: 92    Time: 241.0529    Loss: 72.5776    LearningRate 0.000092
------------------------------------------------------------------
 28%|██▊       | 136/485 [00:53<02:17,  2.53it/s]
Traceback (most recent call last):
  File "/media/mmsys/6f1091c9-4ed8-4a10-a03d-2acef144d2e1/SXY/ablation/LLormer-DA/train_psnrssim.py", line 147, in <module>
    loss.backward()
  File "/home/mmsys/anaconda3/envs/LLFormer/lib/python3.7/site-packages/torch/_tensor.py", line 488, in backward
    self, gradient, retain_graph, create_graph, inputs=inputs
  File "/home/mmsys/anaconda3/envs/LLFormer/lib/python3.7/site-packages/torch/autograd/__init__.py", line 199, in backward
    allow_unreachable=True, accumulate_grad=True)  # Calls into the C++ engine to run the backward pass
KeyboardInterrupt

Process finished with exit code 1