| RAFTNET( | |
| (sub_mean): MeanShift(3, 3, kernel_size=(1, 1), stride=(1, 1)) | |
| (add_mean): MeanShift(3, 3, kernel_size=(1, 1), stride=(1, 1)) | |
| (hidden_encoder): Sequential( | |
| (0): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (1): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (2): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| ) | |
| (head): Sequential( | |
| (0): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (2): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| ) | |
| (body): Sequential( | |
| (0): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (1): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (2): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (3): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (4): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (5): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (6): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (7): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (8): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (9): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (10): LambdaLayer( | |
| (to_q): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False) | |
| (to_k): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False) | |
| (to_v): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False) | |
| (norm_q): Identity() | |
| (norm_v): Identity() | |
| (pos_conv): Conv3d(4, 16, kernel_size=(1, 23, 23), stride=(1, 1, 1), padding=(0, 11, 11)) | |
| ) | |
| (11): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (12): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (13): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (14): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (15): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (16): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (17): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (18): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (19): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (20): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (21): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| (tail): Sequential( | |
| (0): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (1): ResBlock( | |
| (body): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (1): PReLU(num_parameters=1) | |
| (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| (2): Conv2d(64, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| (gru): ConvGRU( | |
| (convz): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (convr): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| (convq): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) | |
| ) | |
| ) | |
| [Epoch 1] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.1260] 65.2+0.5s | |
| [3200/16000] [L1: 0.0974] 66.3+0.1s | |
| [4800/16000] [L1: 0.0870] 70.5+0.0s | |
| [6400/16000] [L1: 0.0810] 70.6+0.1s | |
| [8000/16000] [L1: 0.0774] 70.5+0.1s | |
| [9600/16000] [L1: 0.0752] 70.7+0.1s | |
| [11200/16000] [L1: 0.0730] 70.7+0.0s | |
| [12800/16000] [L1: 0.0718] 70.5+0.1s | |
| [14400/16000] [L1: 0.0706] 70.4+0.0s | |
| [16000/16000] [L1: 0.0697] 70.3+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 27.789 (Best: 27.789 @epoch 1) | |
| Forward: 25.81s | |
| Saving... | |
| Total: 26.69s | |
| [Epoch 2] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0597] 70.8+0.5s | |
| [3200/16000] [L1: 0.0601] 70.6+0.1s | |
| [4800/16000] [L1: 0.0598] 70.7+0.1s | |
| [6400/16000] [L1: 0.0597] 70.6+0.1s | |
| [8000/16000] [L1: 0.0596] 70.6+0.1s | |
| [9600/16000] [L1: 0.0597] 70.4+0.1s | |
| [11200/16000] [L1: 0.0596] 70.4+0.1s | |
| [12800/16000] [L1: 0.0597] 70.5+0.1s | |
| [14400/16000] [L1: 0.0597] 70.6+0.1s | |
| [16000/16000] [L1: 0.0595] 70.7+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.031 (Best: 28.031 @epoch 2) | |
| Forward: 25.68s | |
| Saving... | |
| Total: 26.44s | |
| [Epoch 3] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0589] 70.7+0.5s | |
| [3200/16000] [L1: 0.0584] 70.6+0.1s | |
| [4800/16000] [L1: 0.0583] 70.6+0.0s | |
| [6400/16000] [L1: 0.0583] 70.6+0.1s | |
| [8000/16000] [L1: 0.0584] 70.5+0.0s | |
| [9600/16000] [L1: 0.0585] 70.5+0.1s | |
| [11200/16000] [L1: 0.0586] 70.6+0.1s | |
| [12800/16000] [L1: 0.0584] 70.5+0.1s | |
| [14400/16000] [L1: 0.0585] 70.3+0.1s | |
| [16000/16000] [L1: 0.0584] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.025 (Best: 28.031 @epoch 2) | |
| Forward: 25.71s | |
| Saving... | |
| Total: 26.51s | |
| [Epoch 4] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0565] 70.6+0.6s | |
| [3200/16000] [L1: 0.0571] 69.7+0.1s | |
| [4800/16000] [L1: 0.0571] 70.5+0.1s | |
| [6400/16000] [L1: 0.0571] 70.7+0.1s | |
| [8000/16000] [L1: 0.0567] 70.7+0.1s | |
| [9600/16000] [L1: 0.0568] 68.8+0.0s | |
| [11200/16000] [L1: 0.0567] 68.4+0.0s | |
| [12800/16000] [L1: 0.0568] 69.9+0.1s | |
| [14400/16000] [L1: 0.0569] 70.4+0.0s | |
| [16000/16000] [L1: 0.0569] 70.5+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.108 (Best: 28.108 @epoch 4) | |
| Forward: 25.61s | |
| Saving... | |
| Total: 26.34s | |
| [Epoch 5] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0584] 70.5+0.5s | |
| [3200/16000] [L1: 0.0578] 70.4+0.0s | |
| [4800/16000] [L1: 0.0571] 70.4+0.1s | |
| [6400/16000] [L1: 0.0569] 70.6+0.1s | |
| [8000/16000] [L1: 0.0570] 70.7+0.1s | |
| [9600/16000] [L1: 0.0570] 70.6+0.0s | |
| [11200/16000] [L1: 0.0569] 70.4+0.1s | |
| [12800/16000] [L1: 0.0567] 70.6+0.1s | |
| [14400/16000] [L1: 0.0568] 70.6+0.1s | |
| [16000/16000] [L1: 0.0567] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 27.993 (Best: 28.108 @epoch 4) | |
| Forward: 25.72s | |
| Saving... | |
| Total: 26.23s | |
| [Epoch 6] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0557] 70.6+0.6s | |
| [3200/16000] [L1: 0.0559] 70.4+0.1s | |
| [4800/16000] [L1: 0.0557] 70.4+0.0s | |
| [6400/16000] [L1: 0.0559] 70.7+0.1s | |
| [8000/16000] [L1: 0.0560] 70.8+0.1s | |
| [9600/16000] [L1: 0.0559] 70.7+0.1s | |
| [11200/16000] [L1: 0.0561] 70.5+0.1s | |
| [12800/16000] [L1: 0.0559] 70.6+0.1s | |
| [14400/16000] [L1: 0.0559] 70.6+0.1s | |
| [16000/16000] [L1: 0.0559] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.203 (Best: 28.203 @epoch 6) | |
| Forward: 25.73s | |
| Saving... | |
| Total: 26.46s | |
| [Epoch 7] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0562] 70.7+0.6s | |
| [3200/16000] [L1: 0.0565] 70.7+0.1s | |
| [4800/16000] [L1: 0.0562] 70.8+0.1s | |
| [6400/16000] [L1: 0.0568] 70.5+0.0s | |
| [8000/16000] [L1: 0.0568] 70.4+0.0s | |
| [9600/16000] [L1: 0.0565] 70.6+0.1s | |
| [11200/16000] [L1: 0.0565] 70.7+0.1s | |
| [12800/16000] [L1: 0.0564] 70.6+0.0s | |
| [14400/16000] [L1: 0.0562] 70.3+0.1s | |
| [16000/16000] [L1: 0.0561] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.237 (Best: 28.237 @epoch 7) | |
| Forward: 25.67s | |
| Saving... | |
| Total: 26.38s | |
| [Epoch 8] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0557] 70.4+0.5s | |
| [3200/16000] [L1: 0.0559] 70.8+0.1s | |
| [4800/16000] [L1: 0.0554] 70.8+0.1s | |
| [6400/16000] [L1: 0.0557] 70.8+0.1s | |
| [8000/16000] [L1: 0.0556] 70.5+0.1s | |
| [9600/16000] [L1: 0.0555] 70.6+0.0s | |
| [11200/16000] [L1: 0.0555] 70.7+0.1s | |
| [12800/16000] [L1: 0.0553] 70.8+0.1s | |
| [14400/16000] [L1: 0.0553] 70.7+0.1s | |
| [16000/16000] [L1: 0.0554] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.292 (Best: 28.292 @epoch 8) | |
| Forward: 25.72s | |
| Saving... | |
| Total: 26.68s | |
| [Epoch 9] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0545] 70.2+0.5s | |
| [3200/16000] [L1: 0.0546] 69.7+0.1s | |
| [4800/16000] [L1: 0.0550] 70.7+0.1s | |
| [6400/16000] [L1: 0.0551] 70.6+0.1s | |
| [8000/16000] [L1: 0.0554] 70.5+0.1s | |
| [9600/16000] [L1: 0.0552] 70.5+0.0s | |
| [11200/16000] [L1: 0.0552] 70.7+0.1s | |
| [12800/16000] [L1: 0.0551] 70.7+0.1s | |
| [14400/16000] [L1: 0.0551] 70.7+0.1s | |
| [16000/16000] [L1: 0.0552] 70.7+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.400 (Best: 28.400 @epoch 9) | |
| Forward: 25.76s | |
| Saving... | |
| Total: 26.36s | |
| [Epoch 10] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0543] 70.7+0.5s | |
| [3200/16000] [L1: 0.0550] 70.5+0.1s | |
| [4800/16000] [L1: 0.0554] 70.2+0.1s | |
| [6400/16000] [L1: 0.0554] 70.9+0.1s | |
| [8000/16000] [L1: 0.0553] 70.8+0.1s | |
| [9600/16000] [L1: 0.0553] 70.6+0.1s | |
| [11200/16000] [L1: 0.0552] 70.7+0.1s | |
| [12800/16000] [L1: 0.0550] 70.6+0.0s | |
| [14400/16000] [L1: 0.0550] 70.7+0.0s | |
| [16000/16000] [L1: 0.0550] 70.4+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.430 (Best: 28.430 @epoch 10) | |
| Forward: 25.77s | |
| Saving... | |
| Total: 26.47s | |
| [Epoch 11] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0555] 70.5+0.6s | |
| [3200/16000] [L1: 0.0556] 70.8+0.1s | |
| [4800/16000] [L1: 0.0552] 70.8+0.1s | |
| [6400/16000] [L1: 0.0547] 70.8+0.1s | |
| [8000/16000] [L1: 0.0548] 70.6+0.1s | |
| [9600/16000] [L1: 0.0546] 70.6+0.1s | |
| [11200/16000] [L1: 0.0545] 70.6+0.0s | |
| [12800/16000] [L1: 0.0545] 70.5+0.0s | |
| [14400/16000] [L1: 0.0544] 70.3+0.0s | |
| [16000/16000] [L1: 0.0545] 70.8+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.403 (Best: 28.430 @epoch 10) | |
| Forward: 25.76s | |
| Saving... | |
| Total: 26.40s | |
| [Epoch 12] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0538] 70.7+0.5s | |
| [3200/16000] [L1: 0.0544] 70.6+0.1s | |
| [4800/16000] [L1: 0.0543] 70.6+0.0s | |
| [6400/16000] [L1: 0.0542] 70.7+0.1s | |
| [8000/16000] [L1: 0.0543] 70.7+0.1s | |
| [9600/16000] [L1: 0.0543] 70.8+0.1s | |
| [11200/16000] [L1: 0.0544] 70.8+0.1s | |
| [12800/16000] [L1: 0.0543] 70.6+0.1s | |
| [14400/16000] [L1: 0.0543] 70.4+0.1s | |
| [16000/16000] [L1: 0.0544] 70.4+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.389 (Best: 28.430 @epoch 10) | |
| Forward: 25.70s | |
| Saving... | |
| Total: 26.54s | |
| [Epoch 13] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0549] 70.6+0.5s | |
| [3200/16000] [L1: 0.0547] 70.6+0.1s | |
| [4800/16000] [L1: 0.0545] 70.6+0.0s | |
| [6400/16000] [L1: 0.0547] 70.0+0.1s | |
| [8000/16000] [L1: 0.0545] 69.9+0.1s | |
| [9600/16000] [L1: 0.0543] 70.5+0.0s | |
| [11200/16000] [L1: 0.0542] 70.7+0.1s | |
| [12800/16000] [L1: 0.0542] 70.6+0.0s | |
| [14400/16000] [L1: 0.0541] 70.8+0.1s | |
| [16000/16000] [L1: 0.0542] 70.4+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.496 (Best: 28.496 @epoch 13) | |
| Forward: 25.68s | |
| Saving... | |
| Total: 26.35s | |
| [Epoch 14] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0550] 70.4+0.6s | |
| [3200/16000] [L1: 0.0538] 70.6+0.1s | |
| [4800/16000] [L1: 0.0534] 70.7+0.1s | |
| [6400/16000] [L1: 0.0539] 70.6+0.1s | |
| [8000/16000] [L1: 0.0538] 70.6+0.1s | |
| [9600/16000] [L1: 0.0539] 70.6+0.1s | |
| [11200/16000] [L1: 0.0539] 70.6+0.1s | |
| [12800/16000] [L1: 0.0539] 70.6+0.1s | |
| [14400/16000] [L1: 0.0539] 70.6+0.1s | |
| [16000/16000] [L1: 0.0538] 70.4+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.489 (Best: 28.496 @epoch 13) | |
| Forward: 25.73s | |
| Saving... | |
| Total: 26.40s | |
| [Epoch 15] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0549] 70.4+0.5s | |
| [3200/16000] [L1: 0.0542] 70.8+0.1s | |
| [4800/16000] [L1: 0.0539] 70.6+0.1s | |
| [6400/16000] [L1: 0.0536] 70.7+0.1s | |
| [8000/16000] [L1: 0.0536] 70.6+0.1s | |
| [9600/16000] [L1: 0.0535] 70.7+0.1s | |
| [11200/16000] [L1: 0.0535] 69.9+0.1s | |
| [12800/16000] [L1: 0.0534] 70.5+0.0s | |
| [14400/16000] [L1: 0.0536] 70.6+0.0s | |
| [16000/16000] [L1: 0.0536] 70.5+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.514 (Best: 28.514 @epoch 15) | |
| Forward: 25.71s | |
| Saving... | |
| Total: 26.38s | |
| [Epoch 16] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0528] 70.8+0.5s | |
| [3200/16000] [L1: 0.0523] 70.7+0.1s | |
| [4800/16000] [L1: 0.0526] 70.6+0.1s | |
| [6400/16000] [L1: 0.0524] 70.8+0.1s | |
| [8000/16000] [L1: 0.0531] 70.4+0.0s | |
| [9600/16000] [L1: 0.0533] 70.8+0.1s | |
| [11200/16000] [L1: 0.0534] 70.5+0.0s | |
| [12800/16000] [L1: 0.0533] 70.4+0.1s | |
| [14400/16000] [L1: 0.0532] 70.6+0.1s | |
| [16000/16000] [L1: 0.0532] 70.7+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.573 (Best: 28.573 @epoch 16) | |
| Forward: 25.72s | |
| Saving... | |
| Total: 26.36s | |
| [Epoch 17] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0553] 70.1+0.5s | |
| [3200/16000] [L1: 0.0543] 70.5+0.1s | |
| [4800/16000] [L1: 0.0534] 70.5+0.1s | |
| [6400/16000] [L1: 0.0533] 70.5+0.0s | |
| [8000/16000] [L1: 0.0533] 70.5+0.1s | |
| [9600/16000] [L1: 0.0534] 70.7+0.1s | |
| [11200/16000] [L1: 0.0533] 70.7+0.1s | |
| [12800/16000] [L1: 0.0534] 70.8+0.1s | |
| [14400/16000] [L1: 0.0534] 70.7+0.1s | |
| [16000/16000] [L1: 0.0534] 70.7+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.571 (Best: 28.573 @epoch 16) | |
| Forward: 25.75s | |
| Saving... | |
| Total: 26.43s | |
| [Epoch 18] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0529] 68.9+0.5s | |
| [3200/16000] [L1: 0.0537] 70.6+0.0s | |
| [4800/16000] [L1: 0.0537] 70.5+0.1s | |
| [6400/16000] [L1: 0.0539] 70.4+0.1s | |
| [8000/16000] [L1: 0.0537] 70.6+0.1s | |
| [9600/16000] [L1: 0.0535] 70.8+0.1s | |
| [11200/16000] [L1: 0.0533] 70.6+0.1s | |
| [12800/16000] [L1: 0.0532] 70.4+0.0s | |
| [14400/16000] [L1: 0.0532] 70.5+0.0s | |
| [16000/16000] [L1: 0.0534] 69.5+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.582 (Best: 28.582 @epoch 18) | |
| Forward: 25.67s | |
| Saving... | |
| Total: 26.29s | |
| [Epoch 19] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0530] 70.7+0.6s | |
| [3200/16000] [L1: 0.0534] 70.5+0.1s | |
| [4800/16000] [L1: 0.0528] 70.7+0.1s | |
| [6400/16000] [L1: 0.0528] 70.7+0.1s | |
| [8000/16000] [L1: 0.0528] 70.6+0.1s | |
| [9600/16000] [L1: 0.0528] 70.8+0.1s | |
| [11200/16000] [L1: 0.0528] 70.7+0.1s | |
| [12800/16000] [L1: 0.0530] 70.7+0.0s | |
| [14400/16000] [L1: 0.0532] 70.6+0.0s | |
| [16000/16000] [L1: 0.0532] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.565 (Best: 28.582 @epoch 18) | |
| Forward: 25.71s | |
| Saving... | |
| Total: 26.35s | |
| [Epoch 20] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0532] 70.6+0.5s | |
| [3200/16000] [L1: 0.0532] 70.7+0.1s | |
| [4800/16000] [L1: 0.0530] 69.8+0.1s | |
| [6400/16000] [L1: 0.0530] 70.6+0.1s | |
| [8000/16000] [L1: 0.0530] 70.6+0.1s | |
| [9600/16000] [L1: 0.0531] 70.5+0.1s | |
| [11200/16000] [L1: 0.0531] 70.6+0.1s | |
| [12800/16000] [L1: 0.0531] 70.7+0.1s | |
| [14400/16000] [L1: 0.0532] 70.5+0.1s | |
| [16000/16000] [L1: 0.0531] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.600 (Best: 28.600 @epoch 20) | |
| Forward: 25.69s | |
| Saving... | |
| Total: 26.28s | |
| [Epoch 21] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0540] 70.7+0.5s | |
| [3200/16000] [L1: 0.0530] 70.6+0.1s | |
| [4800/16000] [L1: 0.0529] 70.8+0.1s | |
| [6400/16000] [L1: 0.0528] 70.8+0.1s | |
| [8000/16000] [L1: 0.0528] 70.8+0.1s | |
| [9600/16000] [L1: 0.0530] 70.6+0.1s | |
| [11200/16000] [L1: 0.0528] 70.5+0.1s | |
| [12800/16000] [L1: 0.0526] 70.6+0.0s | |
| [14400/16000] [L1: 0.0527] 70.7+0.1s | |
| [16000/16000] [L1: 0.0528] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.627 (Best: 28.627 @epoch 21) | |
| Forward: 25.75s | |
| Saving... | |
| Total: 26.38s | |
| [Epoch 22] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0521] 68.4+0.5s | |
| [3200/16000] [L1: 0.0523] 69.7+0.1s | |
| [4800/16000] [L1: 0.0525] 70.5+0.1s | |
| [6400/16000] [L1: 0.0529] 70.6+0.1s | |
| [8000/16000] [L1: 0.0527] 70.6+0.1s | |
| [9600/16000] [L1: 0.0526] 70.6+0.1s | |
| [11200/16000] [L1: 0.0526] 70.6+0.1s | |
| [12800/16000] [L1: 0.0526] 70.6+0.1s | |
| [14400/16000] [L1: 0.0526] 70.6+0.1s | |
| [16000/16000] [L1: 0.0527] 69.9+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.643 (Best: 28.643 @epoch 22) | |
| Forward: 25.73s | |
| Saving... | |
| Total: 26.40s | |
| [Epoch 23] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0546] 70.4+0.5s | |
| [3200/16000] [L1: 0.0542] 70.2+0.1s | |
| [4800/16000] [L1: 0.0534] 69.7+0.0s | |
| [6400/16000] [L1: 0.0533] 70.6+0.1s | |
| [8000/16000] [L1: 0.0532] 70.7+0.1s | |
| [9600/16000] [L1: 0.0530] 70.8+0.1s | |
| [11200/16000] [L1: 0.0529] 70.4+0.1s | |
| [12800/16000] [L1: 0.0528] 70.6+0.1s | |
| [14400/16000] [L1: 0.0528] 70.7+0.1s | |
| [16000/16000] [L1: 0.0527] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.533 (Best: 28.643 @epoch 22) | |
| Forward: 25.70s | |
| Saving... | |
| Total: 26.31s | |
| [Epoch 24] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0536] 70.6+0.6s | |
| [3200/16000] [L1: 0.0535] 70.6+0.1s | |
| [4800/16000] [L1: 0.0533] 70.6+0.0s | |
| [6400/16000] [L1: 0.0531] 70.6+0.1s | |
| [8000/16000] [L1: 0.0529] 70.6+0.1s | |
| [9600/16000] [L1: 0.0530] 70.5+0.1s | |
| [11200/16000] [L1: 0.0531] 70.7+0.1s | |
| [12800/16000] [L1: 0.0530] 70.7+0.1s | |
| [14400/16000] [L1: 0.0529] 70.6+0.1s | |
| [16000/16000] [L1: 0.0529] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.623 (Best: 28.643 @epoch 22) | |
| Forward: 25.67s | |
| Saving... | |
| Total: 26.22s | |
| [Epoch 25] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0516] 70.6+0.5s | |
| [3200/16000] [L1: 0.0524] 70.7+0.1s | |
| [4800/16000] [L1: 0.0521] 70.8+0.1s | |
| [6400/16000] [L1: 0.0525] 70.8+0.1s | |
| [8000/16000] [L1: 0.0523] 70.6+0.0s | |
| [9600/16000] [L1: 0.0525] 70.5+0.1s | |
| [11200/16000] [L1: 0.0526] 70.8+0.1s | |
| [12800/16000] [L1: 0.0526] 70.7+0.1s | |
| [14400/16000] [L1: 0.0527] 69.9+0.1s | |
| [16000/16000] [L1: 0.0526] 70.7+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.568 (Best: 28.643 @epoch 22) | |
| Forward: 25.69s | |
| Saving... | |
| Total: 26.29s | |
| [Epoch 26] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0504] 70.7+0.5s | |
| [3200/16000] [L1: 0.0524] 70.5+0.1s | |
| [4800/16000] [L1: 0.0525] 70.3+0.1s | |
| [6400/16000] [L1: 0.0524] 70.5+0.0s | |
| [8000/16000] [L1: 0.0526] 70.6+0.1s | |
| [9600/16000] [L1: 0.0530] 70.5+0.1s | |
| [11200/16000] [L1: 0.0527] 70.5+0.0s | |
| [12800/16000] [L1: 0.0527] 70.7+0.1s | |
| [14400/16000] [L1: 0.0527] 70.7+0.1s | |
| [16000/16000] [L1: 0.0527] 70.7+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.645 (Best: 28.645 @epoch 26) | |
| Forward: 25.79s | |
| Saving... | |
| Total: 26.29s | |
| [Epoch 27] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0520] 70.5+0.4s | |
| [3200/16000] [L1: 0.0523] 70.5+0.0s | |
| [4800/16000] [L1: 0.0525] 70.6+0.0s | |
| [6400/16000] [L1: 0.0525] 70.7+0.1s | |
| [8000/16000] [L1: 0.0527] 70.3+0.0s | |
| [9600/16000] [L1: 0.0527] 70.4+0.0s | |
| [11200/16000] [L1: 0.0527] 70.7+0.0s | |
| [12800/16000] [L1: 0.0526] 70.7+0.1s | |
| [14400/16000] [L1: 0.0526] 70.7+0.1s | |
| [16000/16000] [L1: 0.0527] 70.7+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.666 (Best: 28.666 @epoch 27) | |
| Forward: 25.74s | |
| Saving... | |
| Total: 26.47s | |
| [Epoch 28] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0537] 70.6+0.6s | |
| [3200/16000] [L1: 0.0531] 70.7+0.1s | |
| [4800/16000] [L1: 0.0530] 70.6+0.1s | |
| [6400/16000] [L1: 0.0524] 70.6+0.1s | |
| [8000/16000] [L1: 0.0526] 70.8+0.1s | |
| [9600/16000] [L1: 0.0525] 70.6+0.1s | |
| [11200/16000] [L1: 0.0524] 70.6+0.0s | |
| [12800/16000] [L1: 0.0524] 70.6+0.0s | |
| [14400/16000] [L1: 0.0525] 70.6+0.0s | |
| [16000/16000] [L1: 0.0525] 70.4+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.674 (Best: 28.674 @epoch 28) | |
| Forward: 25.64s | |
| Saving... | |
| Total: 26.22s | |
| [Epoch 29] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0533] 70.4+0.6s | |
| [3200/16000] [L1: 0.0527] 70.6+0.1s | |
| [4800/16000] [L1: 0.0528] 70.7+0.1s | |
| [6400/16000] [L1: 0.0529] 70.7+0.1s | |
| [8000/16000] [L1: 0.0528] 70.6+0.0s | |
| [9600/16000] [L1: 0.0527] 70.7+0.1s | |
| [11200/16000] [L1: 0.0526] 70.7+0.1s | |
| [12800/16000] [L1: 0.0526] 69.8+0.0s | |
| [14400/16000] [L1: 0.0526] 70.7+0.1s | |
| [16000/16000] [L1: 0.0526] 70.1+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.654 (Best: 28.674 @epoch 28) | |
| Forward: 25.74s | |
| Saving... | |
| Total: 26.36s | |
| [Epoch 30] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0541] 69.9+0.5s | |
| [3200/16000] [L1: 0.0531] 70.7+0.1s | |
| [4800/16000] [L1: 0.0527] 70.5+0.1s | |
| [6400/16000] [L1: 0.0525] 70.7+0.1s | |
| [8000/16000] [L1: 0.0524] 70.5+0.1s | |
| [9600/16000] [L1: 0.0525] 70.5+0.0s | |
| [11200/16000] [L1: 0.0526] 70.5+0.1s | |
| [12800/16000] [L1: 0.0525] 70.5+0.1s | |
| [14400/16000] [L1: 0.0524] 70.7+0.1s | |
| [16000/16000] [L1: 0.0523] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.688 (Best: 28.688 @epoch 30) | |
| Forward: 25.83s | |
| Saving... | |
| Total: 26.43s | |
| [Epoch 31] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0526] 70.5+0.6s | |
| [3200/16000] [L1: 0.0519] 70.8+0.1s | |
| [4800/16000] [L1: 0.0518] 70.9+0.1s | |
| [6400/16000] [L1: 0.0521] 70.7+0.1s | |
| [8000/16000] [L1: 0.0522] 70.0+0.1s | |
| [9600/16000] [L1: 0.0523] 70.6+0.1s | |
| [11200/16000] [L1: 0.0523] 70.7+0.0s | |
| [12800/16000] [L1: 0.0525] 70.7+0.1s | |
| [14400/16000] [L1: 0.0525] 70.7+0.1s | |
| [16000/16000] [L1: 0.0526] 70.5+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.675 (Best: 28.688 @epoch 30) | |
| Forward: 25.73s | |
| Saving... | |
| Total: 26.29s | |
| [Epoch 32] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0522] 70.8+0.5s | |
| [3200/16000] [L1: 0.0521] 70.7+0.1s | |
| [4800/16000] [L1: 0.0523] 70.7+0.1s | |
| [6400/16000] [L1: 0.0519] 70.6+0.1s | |
| [8000/16000] [L1: 0.0522] 70.7+0.1s | |
| [9600/16000] [L1: 0.0522] 70.6+0.1s | |
| [11200/16000] [L1: 0.0522] 70.5+0.1s | |
| [12800/16000] [L1: 0.0523] 70.7+0.0s | |
| [14400/16000] [L1: 0.0521] 70.7+0.1s | |
| [16000/16000] [L1: 0.0522] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.697 (Best: 28.697 @epoch 32) | |
| Forward: 25.75s | |
| Saving... | |
| Total: 26.45s | |
| [Epoch 33] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0527] 70.4+0.5s | |
| [3200/16000] [L1: 0.0523] 70.6+0.1s | |
| [4800/16000] [L1: 0.0520] 70.7+0.1s | |
| [6400/16000] [L1: 0.0519] 70.6+0.1s | |
| [8000/16000] [L1: 0.0517] 70.7+0.1s | |
| [9600/16000] [L1: 0.0518] 69.7+0.1s | |
| [11200/16000] [L1: 0.0520] 70.7+0.1s | |
| [12800/16000] [L1: 0.0521] 70.7+0.1s | |
| [14400/16000] [L1: 0.0522] 70.7+0.1s | |
| [16000/16000] [L1: 0.0523] 70.4+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.693 (Best: 28.697 @epoch 32) | |
| Forward: 25.66s | |
| Saving... | |
| Total: 26.28s | |
| [Epoch 34] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0523] 70.6+0.6s | |
| [3200/16000] [L1: 0.0524] 70.6+0.1s | |
| [4800/16000] [L1: 0.0523] 70.6+0.1s | |
| [6400/16000] [L1: 0.0526] 70.6+0.1s | |
| [8000/16000] [L1: 0.0524] 70.7+0.1s | |
| [9600/16000] [L1: 0.0523] 70.8+0.1s | |
| [11200/16000] [L1: 0.0522] 70.7+0.1s | |
| [12800/16000] [L1: 0.0521] 70.6+0.1s | |
| [14400/16000] [L1: 0.0520] 70.5+0.1s | |
| [16000/16000] [L1: 0.0521] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.685 (Best: 28.697 @epoch 32) | |
| Forward: 25.66s | |
| Saving... | |
| Total: 26.16s | |
| [Epoch 35] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0530] 70.8+0.6s | |
| [3200/16000] [L1: 0.0525] 70.6+0.1s | |
| [4800/16000] [L1: 0.0522] 70.8+0.1s | |
| [6400/16000] [L1: 0.0524] 70.7+0.1s | |
| [8000/16000] [L1: 0.0525] 70.8+0.1s | |
| [9600/16000] [L1: 0.0525] 70.6+0.1s | |
| [11200/16000] [L1: 0.0526] 70.8+0.1s | |
| [12800/16000] [L1: 0.0525] 70.8+0.1s | |
| [14400/16000] [L1: 0.0524] 70.6+0.1s | |
| [16000/16000] [L1: 0.0525] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.691 (Best: 28.697 @epoch 32) | |
| Forward: 25.73s | |
| Saving... | |
| Total: 26.38s | |
| [Epoch 36] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0520] 70.8+0.6s | |
| [3200/16000] [L1: 0.0520] 70.7+0.1s | |
| [4800/16000] [L1: 0.0518] 70.7+0.1s | |
| [6400/16000] [L1: 0.0520] 70.7+0.1s | |
| [8000/16000] [L1: 0.0520] 70.8+0.1s | |
| [9600/16000] [L1: 0.0521] 70.7+0.1s | |
| [11200/16000] [L1: 0.0521] 70.6+0.0s | |
| [12800/16000] [L1: 0.0523] 70.4+0.1s | |
| [14400/16000] [L1: 0.0523] 70.6+0.1s | |
| [16000/16000] [L1: 0.0523] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.667 (Best: 28.697 @epoch 32) | |
| Forward: 25.68s | |
| Saving... | |
| Total: 26.24s | |
| [Epoch 37] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0514] 70.6+0.5s | |
| [3200/16000] [L1: 0.0517] 69.1+0.0s | |
| [4800/16000] [L1: 0.0517] 70.6+0.1s | |
| [6400/16000] [L1: 0.0518] 70.7+0.1s | |
| [8000/16000] [L1: 0.0518] 70.5+0.0s | |
| [9600/16000] [L1: 0.0517] 70.6+0.0s | |
| [11200/16000] [L1: 0.0516] 70.6+0.1s | |
| [12800/16000] [L1: 0.0518] 70.5+0.1s | |
| [14400/16000] [L1: 0.0517] 70.7+0.1s | |
| [16000/16000] [L1: 0.0517] 70.7+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.692 (Best: 28.697 @epoch 32) | |
| Forward: 25.68s | |
| Saving... | |
| Total: 26.36s | |
| [Epoch 38] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0527] 70.7+0.5s | |
| [3200/16000] [L1: 0.0532] 70.5+0.1s | |
| [4800/16000] [L1: 0.0529] 70.4+0.0s | |
| [6400/16000] [L1: 0.0529] 70.6+0.0s | |
| [8000/16000] [L1: 0.0529] 70.7+0.1s | |
| [9600/16000] [L1: 0.0527] 70.6+0.1s | |
| [11200/16000] [L1: 0.0526] 70.7+0.1s | |
| [12800/16000] [L1: 0.0528] 70.7+0.1s | |
| [14400/16000] [L1: 0.0529] 70.6+0.1s | |
| [16000/16000] [L1: 0.0529] 70.8+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.699 (Best: 28.699 @epoch 38) | |
| Forward: 25.65s | |
| Saving... | |
| Total: 26.48s | |
| [Epoch 39] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0526] 70.8+0.7s | |
| [3200/16000] [L1: 0.0528] 70.6+0.1s | |
| [4800/16000] [L1: 0.0523] 69.2+0.0s | |
| [6400/16000] [L1: 0.0519] 68.4+0.0s | |
| [8000/16000] [L1: 0.0523] 69.5+0.0s | |
| [9600/16000] [L1: 0.0521] 70.8+0.1s | |
| [11200/16000] [L1: 0.0520] 70.7+0.1s | |
| [12800/16000] [L1: 0.0521] 70.7+0.1s | |
| [14400/16000] [L1: 0.0521] 70.7+0.1s | |
| [16000/16000] [L1: 0.0524] 70.7+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.694 (Best: 28.699 @epoch 38) | |
| Forward: 25.70s | |
| Saving... | |
| Total: 26.30s | |
| [Epoch 40] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0525] 70.7+0.5s | |
| [3200/16000] [L1: 0.0521] 70.6+0.1s | |
| [4800/16000] [L1: 0.0521] 70.6+0.1s | |
| [6400/16000] [L1: 0.0519] 70.7+0.1s | |
| [8000/16000] [L1: 0.0520] 70.7+0.1s | |
| [9600/16000] [L1: 0.0519] 70.6+0.1s | |
| [11200/16000] [L1: 0.0519] 70.5+0.0s | |
| [12800/16000] [L1: 0.0521] 70.7+0.1s | |
| [14400/16000] [L1: 0.0521] 70.6+0.1s | |
| [16000/16000] [L1: 0.0522] 70.5+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.706 (Best: 28.706 @epoch 40) | |
| Forward: 25.72s | |
| Saving... | |
| Total: 26.25s | |
| [Epoch 41] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0521] 70.8+0.5s | |
| [3200/16000] [L1: 0.0522] 70.6+0.1s | |
| [4800/16000] [L1: 0.0519] 70.6+0.1s | |
| [6400/16000] [L1: 0.0521] 70.5+0.1s | |
| [8000/16000] [L1: 0.0520] 70.6+0.1s | |
| [9600/16000] [L1: 0.0520] 70.5+0.1s | |
| [11200/16000] [L1: 0.0521] 70.5+0.1s | |
| [12800/16000] [L1: 0.0521] 70.7+0.1s | |
| [14400/16000] [L1: 0.0520] 70.7+0.1s | |
| [16000/16000] [L1: 0.0520] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.697 (Best: 28.706 @epoch 40) | |
| Forward: 25.72s | |
| Saving... | |
| Total: 26.29s | |
| [Epoch 42] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0519] 70.4+0.6s | |
| [3200/16000] [L1: 0.0520] 70.7+0.1s | |
| [4800/16000] [L1: 0.0521] 70.0+0.0s | |
| [6400/16000] [L1: 0.0520] 68.6+0.0s | |
| [8000/16000] [L1: 0.0520] 70.6+0.1s | |
| [9600/16000] [L1: 0.0520] 70.7+0.1s | |
| [11200/16000] [L1: 0.0521] 70.6+0.0s | |
| [12800/16000] [L1: 0.0520] 70.8+0.1s | |
| [14400/16000] [L1: 0.0522] 70.5+0.1s | |
| [16000/16000] [L1: 0.0522] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.725 (Best: 28.725 @epoch 42) | |
| Forward: 25.73s | |
| Saving... | |
| Total: 26.55s | |
| [Epoch 43] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0525] 70.6+0.5s | |
| [3200/16000] [L1: 0.0517] 70.8+0.1s | |
| [4800/16000] [L1: 0.0521] 70.8+0.1s | |
| [6400/16000] [L1: 0.0520] 70.7+0.1s | |
| [8000/16000] [L1: 0.0520] 70.8+0.0s | |
| [9600/16000] [L1: 0.0522] 70.8+0.1s | |
| [11200/16000] [L1: 0.0521] 70.2+0.1s | |
| [12800/16000] [L1: 0.0521] 70.3+0.1s | |
| [14400/16000] [L1: 0.0520] 70.6+0.1s | |
| [16000/16000] [L1: 0.0519] 70.6+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.694 (Best: 28.725 @epoch 42) | |
| Forward: 25.73s | |
| Saving... | |
| Total: 26.21s | |
| [Epoch 44] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0515] 70.5+0.5s | |
| [3200/16000] [L1: 0.0518] 70.8+0.1s | |
| [4800/16000] [L1: 0.0520] 70.7+0.1s | |
| [6400/16000] [L1: 0.0523] 70.6+0.1s | |
| [8000/16000] [L1: 0.0523] 70.8+0.1s | |
| [9600/16000] [L1: 0.0523] 70.7+0.1s | |
| [11200/16000] [L1: 0.0524] 70.5+0.1s | |
| [12800/16000] [L1: 0.0524] 70.8+0.1s | |
| [14400/16000] [L1: 0.0522] 70.7+0.0s | |
| [16000/16000] [L1: 0.0522] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.717 (Best: 28.725 @epoch 42) | |
| Forward: 25.73s | |
| Saving... | |
| Total: 26.35s | |
| [Epoch 45] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0529] 69.8+0.5s | |
| [3200/16000] [L1: 0.0523] 69.8+0.0s | |
| [4800/16000] [L1: 0.0522] 70.7+0.1s | |
| [6400/16000] [L1: 0.0523] 70.7+0.1s | |
| [8000/16000] [L1: 0.0521] 70.5+0.0s | |
| [9600/16000] [L1: 0.0520] 70.7+0.1s | |
| [11200/16000] [L1: 0.0520] 70.7+0.1s | |
| [12800/16000] [L1: 0.0520] 70.7+0.1s | |
| [14400/16000] [L1: 0.0521] 70.7+0.1s | |
| [16000/16000] [L1: 0.0521] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.711 (Best: 28.725 @epoch 42) | |
| Forward: 25.68s | |
| Saving... | |
| Total: 26.18s | |
| [Epoch 46] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0530] 70.7+0.6s | |
| [3200/16000] [L1: 0.0520] 70.8+0.1s | |
| [4800/16000] [L1: 0.0518] 70.7+0.1s | |
| [6400/16000] [L1: 0.0519] 70.4+0.1s | |
| [8000/16000] [L1: 0.0516] 70.6+0.1s | |
| [9600/16000] [L1: 0.0517] 70.8+0.1s | |
| [11200/16000] [L1: 0.0517] 70.7+0.1s | |
| [12800/16000] [L1: 0.0517] 70.7+0.1s | |
| [14400/16000] [L1: 0.0518] 70.6+0.1s | |
| [16000/16000] [L1: 0.0518] 70.7+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.703 (Best: 28.725 @epoch 42) | |
| Forward: 25.72s | |
| Saving... | |
| Total: 26.24s | |
| [Epoch 47] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0520] 70.7+0.5s | |
| [3200/16000] [L1: 0.0524] 70.6+0.0s | |
| [4800/16000] [L1: 0.0523] 70.7+0.0s | |
| [6400/16000] [L1: 0.0518] 70.6+0.1s | |
| [8000/16000] [L1: 0.0517] 70.8+0.1s | |
| [9600/16000] [L1: 0.0518] 70.7+0.1s | |
| [11200/16000] [L1: 0.0516] 70.7+0.1s | |
| [12800/16000] [L1: 0.0517] 70.7+0.0s | |
| [14400/16000] [L1: 0.0517] 70.7+0.1s | |
| [16000/16000] [L1: 0.0519] 70.7+0.1s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.724 (Best: 28.725 @epoch 42) | |
| Forward: 25.74s | |
| Saving... | |
| Total: 26.53s | |
| [Epoch 48] Learning rate: 1.00e-4 | |
| [1600/16000] [L1: 0.0521] 70.8+0.6s | |
| [3200/16000] [L1: 0.0517] 70.6+0.1s | |
| [4800/16000] [L1: 0.0521] 70.6+0.1s | |
| [6400/16000] [L1: 0.0521] 70.7+0.1s | |
| [8000/16000] [L1: 0.0520] 70.6+0.1s | |
| [9600/16000] [L1: 0.0520] 70.7+0.1s | |
| [11200/16000] [L1: 0.0521] 70.6+0.0s | |
| [12800/16000] [L1: 0.0520] 70.6+0.0s | |
| [14400/16000] [L1: 0.0520] 70.8+0.1s | |
| [16000/16000] [L1: 0.0520] 70.6+0.0s | |
| Evaluation: | |
| [DIV2K x10] PSNR: 28.721 (Best: 28.725 @epoch 42) | |
| Forward: 25.87s | |
| Saving... | |
| Total: 26.63s | |