CAR/experiment/RAFTNETS_Q10_nobn/log.txt

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: 0.3199]	85.7+0.6s
[3200/16000]	[L1: 0.2114]	92.7+0.1s
[4800/16000]	[L1: 0.1716]	92.6+0.1s
[6400/16000]	[L1: 0.1499]	92.8+0.1s
[8000/16000]	[L1: 0.1364]	92.6+0.1s
[9600/16000]	[L1: 0.1274]	92.7+0.0s
[11200/16000]	[L1: 0.1202]	92.9+0.1s
[12800/16000]	[L1: 0.1152]	92.7+0.1s
[14400/16000]	[L1: 0.1110]	92.7+0.1s
[16000/16000]	[L1: 0.1076]	92.7+0.1s

Evaluation:
[DIV2K x10]	PSNR: 27.452 (Best: 27.452 @epoch 1)
Forward: 34.03s

Saving...
Total: 34.95s

[Epoch 2]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0755]	92.8+0.6s
[3200/16000]	[L1: 0.0761]	92.7+0.1s
[4800/16000]	[L1: 0.0754]	92.6+0.1s
[6400/16000]	[L1: 0.0754]	92.5+0.1s
[8000/16000]	[L1: 0.0753]	93.1+0.1s
[9600/16000]	[L1: 0.0753]	92.7+0.1s
[11200/16000]	[L1: 0.0751]	92.6+0.1s
[12800/16000]	[L1: 0.0754]	93.2+0.1s
[14400/16000]	[L1: 0.0754]	92.6+0.1s
[16000/16000]	[L1: 0.0751]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 27.667 (Best: 27.667 @epoch 2)
Forward: 33.85s

Saving...
Total: 34.47s

[Epoch 3]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0740]	92.7+0.5s
[3200/16000]	[L1: 0.0734]	93.6+0.1s
[4800/16000]	[L1: 0.0734]	92.5+0.1s
[6400/16000]	[L1: 0.0735]	92.9+0.1s
[8000/16000]	[L1: 0.0737]	92.5+0.1s
[9600/16000]	[L1: 0.0737]	92.6+0.1s
[11200/16000]	[L1: 0.0737]	92.8+0.1s
[12800/16000]	[L1: 0.0734]	92.8+0.1s
[14400/16000]	[L1: 0.0735]	93.4+0.1s
[16000/16000]	[L1: 0.0734]	92.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 27.773 (Best: 27.773 @epoch 3)
Forward: 33.97s

Saving...
Total: 34.61s

[Epoch 4]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0705]	92.6+0.6s
[3200/16000]	[L1: 0.0715]	93.3+0.1s
[4800/16000]	[L1: 0.0715]	93.2+0.1s
[6400/16000]	[L1: 0.0714]	91.9+0.0s
[8000/16000]	[L1: 0.0710]	92.9+0.1s
[9600/16000]	[L1: 0.0710]	92.9+0.1s
[11200/16000]	[L1: 0.0709]	92.7+0.1s
[12800/16000]	[L1: 0.0710]	92.7+0.1s
[14400/16000]	[L1: 0.0711]	92.6+0.1s
[16000/16000]	[L1: 0.0711]	90.8+0.0s

Evaluation:
[DIV2K x10]	PSNR: 27.956 (Best: 27.956 @epoch 4)
Forward: 33.95s

Saving...
Total: 34.53s

[Epoch 5]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0722]	92.5+0.5s
[3200/16000]	[L1: 0.0718]	92.7+0.1s
[4800/16000]	[L1: 0.0711]	93.1+0.1s
[6400/16000]	[L1: 0.0710]	92.6+0.1s
[8000/16000]	[L1: 0.0710]	92.7+0.1s
[9600/16000]	[L1: 0.0709]	92.6+0.1s
[11200/16000]	[L1: 0.0708]	92.6+0.1s
[12800/16000]	[L1: 0.0706]	92.7+0.1s
[14400/16000]	[L1: 0.0707]	92.9+0.1s
[16000/16000]	[L1: 0.0706]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 27.840 (Best: 27.956 @epoch 4)
Forward: 33.88s

Saving...
Total: 34.37s

[Epoch 6]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0698]	93.2+0.6s
[3200/16000]	[L1: 0.0698]	92.8+0.1s
[4800/16000]	[L1: 0.0695]	93.1+0.1s
[6400/16000]	[L1: 0.0697]	92.6+0.1s
[8000/16000]	[L1: 0.0698]	92.6+0.1s
[9600/16000]	[L1: 0.0696]	92.5+0.1s
[11200/16000]	[L1: 0.0699]	92.7+0.1s
[12800/16000]	[L1: 0.0695]	92.7+0.0s
[14400/16000]	[L1: 0.0696]	92.9+0.0s
[16000/16000]	[L1: 0.0695]	93.1+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.060 (Best: 28.060 @epoch 6)
Forward: 33.94s

Saving...
Total: 34.44s

[Epoch 7]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0697]	92.8+0.7s
[3200/16000]	[L1: 0.0701]	92.7+0.1s
[4800/16000]	[L1: 0.0699]	92.6+0.1s
[6400/16000]	[L1: 0.0706]	92.8+0.1s
[8000/16000]	[L1: 0.0705]	92.8+0.1s
[9600/16000]	[L1: 0.0703]	92.9+0.1s
[11200/16000]	[L1: 0.0702]	93.0+0.1s
[12800/16000]	[L1: 0.0702]	92.7+0.1s
[14400/16000]	[L1: 0.0698]	93.2+0.1s
[16000/16000]	[L1: 0.0697]	92.4+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.154 (Best: 28.154 @epoch 7)
Forward: 33.88s

Saving...
Total: 34.60s

[Epoch 8]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0693]	92.7+0.7s
[3200/16000]	[L1: 0.0693]	93.0+0.1s
[4800/16000]	[L1: 0.0688]	92.9+0.1s
[6400/16000]	[L1: 0.0692]	92.6+0.1s
[8000/16000]	[L1: 0.0690]	92.6+0.1s
[9600/16000]	[L1: 0.0688]	93.0+0.1s
[11200/16000]	[L1: 0.0689]	93.4+0.1s
[12800/16000]	[L1: 0.0687]	92.9+0.1s
[14400/16000]	[L1: 0.0687]	92.8+0.1s
[16000/16000]	[L1: 0.0688]	92.9+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.171 (Best: 28.171 @epoch 8)
Forward: 33.95s

Saving...
Total: 34.60s

[Epoch 9]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0682]	92.8+0.6s
[3200/16000]	[L1: 0.0680]	92.8+0.1s
[4800/16000]	[L1: 0.0685]	92.6+0.1s
[6400/16000]	[L1: 0.0687]	92.6+0.1s
[8000/16000]	[L1: 0.0689]	92.5+0.1s
[9600/16000]	[L1: 0.0687]	92.6+0.1s
[11200/16000]	[L1: 0.0687]	92.8+0.1s
[12800/16000]	[L1: 0.0687]	92.9+0.1s
[14400/16000]	[L1: 0.0687]	92.9+0.1s
[16000/16000]	[L1: 0.0687]	92.8+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.221 (Best: 28.221 @epoch 9)
Forward: 33.93s

Saving...
Total: 34.61s

[Epoch 10]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0677]	92.8+0.7s
[3200/16000]	[L1: 0.0684]	92.8+0.1s
[4800/16000]	[L1: 0.0688]	92.6+0.1s
[6400/16000]	[L1: 0.0689]	93.5+0.1s
[8000/16000]	[L1: 0.0688]	92.6+0.1s
[9600/16000]	[L1: 0.0687]	92.6+0.1s
[11200/16000]	[L1: 0.0686]	93.0+0.0s
[12800/16000]	[L1: 0.0684]	92.7+0.1s
[14400/16000]	[L1: 0.0684]	93.2+0.0s
[16000/16000]	[L1: 0.0685]	93.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.276 (Best: 28.276 @epoch 10)
Forward: 33.96s

Saving...
Total: 34.65s

[Epoch 11]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0693]	92.7+0.7s
[3200/16000]	[L1: 0.0693]	92.5+0.1s
[4800/16000]	[L1: 0.0688]	92.7+0.1s
[6400/16000]	[L1: 0.0682]	92.6+0.1s
[8000/16000]	[L1: 0.0683]	92.7+0.1s
[9600/16000]	[L1: 0.0680]	92.8+0.1s
[11200/16000]	[L1: 0.0679]	93.1+0.1s
[12800/16000]	[L1: 0.0679]	92.9+0.1s
[14400/16000]	[L1: 0.0677]	92.7+0.1s
[16000/16000]	[L1: 0.0679]	92.8+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.203 (Best: 28.276 @epoch 10)
Forward: 33.91s

Saving...
Total: 34.60s

[Epoch 12]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0674]	92.8+0.8s
[3200/16000]	[L1: 0.0679]	92.6+0.1s
[4800/16000]	[L1: 0.0678]	92.5+0.1s
[6400/16000]	[L1: 0.0676]	92.7+0.1s
[8000/16000]	[L1: 0.0677]	92.9+0.1s
[9600/16000]	[L1: 0.0677]	92.6+0.1s
[11200/16000]	[L1: 0.0678]	92.9+0.1s
[12800/16000]	[L1: 0.0677]	92.8+0.1s
[14400/16000]	[L1: 0.0677]	92.5+0.1s
[16000/16000]	[L1: 0.0678]	92.8+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.209 (Best: 28.276 @epoch 10)
Forward: 33.93s

Saving...
Total: 34.67s

[Epoch 13]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0682]	92.8+0.6s
[3200/16000]	[L1: 0.0679]	92.6+0.1s
[4800/16000]	[L1: 0.0678]	92.6+0.1s
[6400/16000]	[L1: 0.0680]	92.7+0.1s
[8000/16000]	[L1: 0.0678]	92.6+0.1s
[9600/16000]	[L1: 0.0675]	92.5+0.1s
[11200/16000]	[L1: 0.0674]	92.8+0.1s
[12800/16000]	[L1: 0.0674]	92.6+0.1s
[14400/16000]	[L1: 0.0672]	92.6+0.1s
[16000/16000]	[L1: 0.0673]	93.2+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.374 (Best: 28.374 @epoch 13)
Forward: 33.91s

Saving...
Total: 34.53s

[Epoch 14]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0685]	93.0+0.6s
[3200/16000]	[L1: 0.0669]	92.9+0.1s
[4800/16000]	[L1: 0.0664]	92.7+0.1s
[6400/16000]	[L1: 0.0669]	92.8+0.1s
[8000/16000]	[L1: 0.0668]	92.4+0.1s
[9600/16000]	[L1: 0.0669]	92.9+0.1s
[11200/16000]	[L1: 0.0670]	93.0+0.1s
[12800/16000]	[L1: 0.0670]	92.8+0.1s
[14400/16000]	[L1: 0.0670]	92.4+0.1s
[16000/16000]	[L1: 0.0669]	93.3+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.328 (Best: 28.374 @epoch 13)
Forward: 33.95s

Saving...
Total: 34.56s

[Epoch 15]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0684]	92.9+0.5s
[3200/16000]	[L1: 0.0674]	92.6+0.1s
[4800/16000]	[L1: 0.0669]	93.0+0.1s
[6400/16000]	[L1: 0.0666]	93.0+0.1s
[8000/16000]	[L1: 0.0665]	92.8+0.1s
[9600/16000]	[L1: 0.0663]	93.2+0.1s
[11200/16000]	[L1: 0.0663]	92.9+0.1s
[12800/16000]	[L1: 0.0663]	93.0+0.1s
[14400/16000]	[L1: 0.0665]	92.8+0.1s
[16000/16000]	[L1: 0.0664]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.358 (Best: 28.374 @epoch 13)
Forward: 33.92s

Saving...
Total: 34.55s

[Epoch 16]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0657]	92.7+0.6s
[3200/16000]	[L1: 0.0650]	92.8+0.1s
[4800/16000]	[L1: 0.0653]	93.0+0.1s
[6400/16000]	[L1: 0.0651]	92.6+0.1s
[8000/16000]	[L1: 0.0659]	92.5+0.1s
[9600/16000]	[L1: 0.0661]	92.9+0.1s
[11200/16000]	[L1: 0.0661]	92.8+0.1s
[12800/16000]	[L1: 0.0660]	92.9+0.1s
[14400/16000]	[L1: 0.0659]	92.7+0.0s
[16000/16000]	[L1: 0.0659]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.424 (Best: 28.424 @epoch 16)
Forward: 33.85s

Saving...
Total: 34.63s

[Epoch 17]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0682]	92.9+0.9s
[3200/16000]	[L1: 0.0671]	92.7+0.1s
[4800/16000]	[L1: 0.0659]	93.6+0.1s
[6400/16000]	[L1: 0.0658]	92.9+0.1s
[8000/16000]	[L1: 0.0658]	92.9+0.1s
[9600/16000]	[L1: 0.0659]	92.7+0.1s
[11200/16000]	[L1: 0.0658]	92.3+0.1s
[12800/16000]	[L1: 0.0659]	92.0+0.1s
[14400/16000]	[L1: 0.0659]	92.7+0.1s
[16000/16000]	[L1: 0.0659]	92.8+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.438 (Best: 28.438 @epoch 17)
Forward: 33.92s

Saving...
Total: 34.63s

[Epoch 18]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0651]	92.6+0.6s
[3200/16000]	[L1: 0.0661]	92.9+0.1s
[4800/16000]	[L1: 0.0661]	92.8+0.1s
[6400/16000]	[L1: 0.0664]	92.6+0.1s
[8000/16000]	[L1: 0.0662]	92.7+0.1s
[9600/16000]	[L1: 0.0661]	92.6+0.1s
[11200/16000]	[L1: 0.0658]	92.6+0.1s
[12800/16000]	[L1: 0.0657]	92.6+0.0s
[14400/16000]	[L1: 0.0657]	92.5+0.0s
[16000/16000]	[L1: 0.0659]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.514 (Best: 28.514 @epoch 18)
Forward: 33.91s

Saving...
Total: 34.39s

[Epoch 19]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0651]	92.9+0.6s
[3200/16000]	[L1: 0.0655]	93.0+0.0s
[4800/16000]	[L1: 0.0648]	92.7+0.1s
[6400/16000]	[L1: 0.0648]	93.0+0.0s
[8000/16000]	[L1: 0.0649]	92.7+0.1s
[9600/16000]	[L1: 0.0649]	92.7+0.1s
[11200/16000]	[L1: 0.0648]	92.7+0.1s
[12800/16000]	[L1: 0.0651]	92.7+0.1s
[14400/16000]	[L1: 0.0653]	92.9+0.1s
[16000/16000]	[L1: 0.0653]	92.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.433 (Best: 28.514 @epoch 18)
Forward: 34.07s

Saving...
Total: 34.68s

[Epoch 20]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0654]	92.8+0.6s
[3200/16000]	[L1: 0.0656]	92.9+0.1s
[4800/16000]	[L1: 0.0654]	93.2+0.1s
[6400/16000]	[L1: 0.0653]	92.6+0.1s
[8000/16000]	[L1: 0.0652]	93.0+0.1s
[9600/16000]	[L1: 0.0653]	92.7+0.1s
[11200/16000]	[L1: 0.0653]	92.7+0.1s
[12800/16000]	[L1: 0.0652]	93.2+0.1s
[14400/16000]	[L1: 0.0653]	93.2+0.1s
[16000/16000]	[L1: 0.0652]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.508 (Best: 28.514 @epoch 18)
Forward: 33.91s

Saving...
Total: 34.61s

[Epoch 21]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0663]	93.0+0.7s
[3200/16000]	[L1: 0.0652]	92.7+0.1s
[4800/16000]	[L1: 0.0650]	92.7+0.1s
[6400/16000]	[L1: 0.0648]	92.8+0.1s
[8000/16000]	[L1: 0.0647]	92.8+0.1s
[9600/16000]	[L1: 0.0649]	92.9+0.1s
[11200/16000]	[L1: 0.0647]	92.5+0.1s
[12800/16000]	[L1: 0.0645]	92.9+0.1s
[14400/16000]	[L1: 0.0646]	92.6+0.1s
[16000/16000]	[L1: 0.0646]	92.8+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.566 (Best: 28.566 @epoch 21)
Forward: 33.94s

Saving...
Total: 34.93s

[Epoch 22]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0640]	93.0+0.7s
[3200/16000]	[L1: 0.0641]	93.0+0.1s
[4800/16000]	[L1: 0.0643]	92.6+0.1s
[6400/16000]	[L1: 0.0647]	92.5+0.1s
[8000/16000]	[L1: 0.0645]	93.1+0.1s
[9600/16000]	[L1: 0.0644]	93.2+0.1s
[11200/16000]	[L1: 0.0643]	93.1+0.1s
[12800/16000]	[L1: 0.0643]	93.1+0.1s
[14400/16000]	[L1: 0.0643]	92.8+0.1s
[16000/16000]	[L1: 0.0644]	92.8+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.552 (Best: 28.566 @epoch 21)
Forward: 33.94s

Saving...
Total: 34.49s

[Epoch 23]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0670]	92.9+0.6s
[3200/16000]	[L1: 0.0663]	92.5+0.1s
[4800/16000]	[L1: 0.0654]	92.7+0.1s
[6400/16000]	[L1: 0.0653]	92.9+0.1s
[8000/16000]	[L1: 0.0651]	92.8+0.1s
[9600/16000]	[L1: 0.0648]	92.8+0.1s
[11200/16000]	[L1: 0.0647]	92.6+0.1s
[12800/16000]	[L1: 0.0646]	92.7+0.1s
[14400/16000]	[L1: 0.0646]	92.6+0.1s
[16000/16000]	[L1: 0.0644]	92.7+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.511 (Best: 28.566 @epoch 21)
Forward: 33.85s

Saving...
Total: 34.47s

[Epoch 24]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0656]	93.0+0.6s
[3200/16000]	[L1: 0.0656]	92.9+0.1s
[4800/16000]	[L1: 0.0654]	93.1+0.1s
[6400/16000]	[L1: 0.0651]	92.7+0.1s
[8000/16000]	[L1: 0.0647]	92.7+0.1s
[9600/16000]	[L1: 0.0649]	93.0+0.1s
[11200/16000]	[L1: 0.0649]	92.8+0.1s
[12800/16000]	[L1: 0.0648]	92.8+0.1s
[14400/16000]	[L1: 0.0647]	92.6+0.1s
[16000/16000]	[L1: 0.0647]	92.7+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.605 (Best: 28.605 @epoch 24)
Forward: 33.98s

Saving...
Total: 34.69s

[Epoch 25]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0631]	92.6+0.6s
[3200/16000]	[L1: 0.0639]	92.6+0.1s
[4800/16000]	[L1: 0.0636]	92.8+0.1s
[6400/16000]	[L1: 0.0640]	92.5+0.1s
[8000/16000]	[L1: 0.0638]	93.3+0.1s
[9600/16000]	[L1: 0.0640]	92.4+0.1s
[11200/16000]	[L1: 0.0641]	93.6+0.0s
[12800/16000]	[L1: 0.0641]	92.6+0.1s
[14400/16000]	[L1: 0.0643]	93.2+0.1s
[16000/16000]	[L1: 0.0642]	93.2+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.519 (Best: 28.605 @epoch 24)
Forward: 33.94s

Saving...
Total: 34.51s

[Epoch 26]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0613]	92.7+0.6s
[3200/16000]	[L1: 0.0638]	93.1+0.1s
[4800/16000]	[L1: 0.0639]	92.7+0.1s
[6400/16000]	[L1: 0.0638]	92.6+0.1s
[8000/16000]	[L1: 0.0641]	92.8+0.1s
[9600/16000]	[L1: 0.0645]	92.6+0.1s
[11200/16000]	[L1: 0.0643]	92.7+0.1s
[12800/16000]	[L1: 0.0642]	93.0+0.1s
[14400/16000]	[L1: 0.0642]	92.6+0.1s
[16000/16000]	[L1: 0.0643]	93.0+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.604 (Best: 28.605 @epoch 24)
Forward: 33.97s

Saving...
Total: 34.90s

[Epoch 27]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0633]	92.6+0.6s
[3200/16000]	[L1: 0.0637]	92.9+0.1s
[4800/16000]	[L1: 0.0639]	92.9+0.1s
[6400/16000]	[L1: 0.0640]	92.5+0.1s
[8000/16000]	[L1: 0.0641]	92.6+0.1s
[9600/16000]	[L1: 0.0641]	92.7+0.1s
[11200/16000]	[L1: 0.0642]	93.0+0.1s
[12800/16000]	[L1: 0.0641]	93.0+0.1s
[14400/16000]	[L1: 0.0641]	92.6+0.0s
[16000/16000]	[L1: 0.0642]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.614 (Best: 28.614 @epoch 27)
Forward: 33.83s

Saving...
Total: 34.56s

[Epoch 28]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0654]	92.8+0.7s
[3200/16000]	[L1: 0.0647]	92.5+0.1s
[4800/16000]	[L1: 0.0645]	92.6+0.1s
[6400/16000]	[L1: 0.0638]	92.6+0.1s
[8000/16000]	[L1: 0.0640]	92.6+0.1s
[9600/16000]	[L1: 0.0638]	92.6+0.1s
[11200/16000]	[L1: 0.0638]	92.7+0.1s
[12800/16000]	[L1: 0.0637]	92.8+0.1s
[14400/16000]	[L1: 0.0638]	92.7+0.1s
[16000/16000]	[L1: 0.0639]	92.8+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.666 (Best: 28.666 @epoch 28)
Forward: 33.96s

Saving...
Total: 34.46s

[Epoch 29]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0648]	92.6+0.6s
[3200/16000]	[L1: 0.0641]	92.6+0.1s
[4800/16000]	[L1: 0.0642]	93.1+0.1s
[6400/16000]	[L1: 0.0643]	92.9+0.1s
[8000/16000]	[L1: 0.0641]	92.8+0.1s
[9600/16000]	[L1: 0.0641]	92.9+0.1s
[11200/16000]	[L1: 0.0640]	92.6+0.1s
[12800/16000]	[L1: 0.0640]	92.7+0.1s
[14400/16000]	[L1: 0.0640]	92.9+0.1s
[16000/16000]	[L1: 0.0640]	92.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.594 (Best: 28.666 @epoch 28)
Forward: 34.00s

Saving...
Total: 34.65s

[Epoch 30]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0659]	92.8+0.6s
[3200/16000]	[L1: 0.0647]	92.8+0.1s
[4800/16000]	[L1: 0.0642]	92.9+0.1s
[6400/16000]	[L1: 0.0639]	92.8+0.1s
[8000/16000]	[L1: 0.0638]	92.6+0.1s
[9600/16000]	[L1: 0.0639]	92.7+0.1s
[11200/16000]	[L1: 0.0640]	92.6+0.1s
[12800/16000]	[L1: 0.0639]	92.7+0.1s
[14400/16000]	[L1: 0.0637]	92.6+0.1s
[16000/16000]	[L1: 0.0637]	92.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.646 (Best: 28.666 @epoch 28)
Forward: 34.01s

Saving...
Total: 34.71s

[Epoch 31]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0640]	92.6+0.6s
[3200/16000]	[L1: 0.0630]	92.7+0.1s
[4800/16000]	[L1: 0.0630]	92.6+0.1s
[6400/16000]	[L1: 0.0633]	92.9+0.1s
[8000/16000]	[L1: 0.0634]	92.8+0.1s
[9600/16000]	[L1: 0.0636]	93.1+0.1s
[11200/16000]	[L1: 0.0636]	93.1+0.1s
[12800/16000]	[L1: 0.0638]	92.8+0.1s
[14400/16000]	[L1: 0.0639]	93.4+0.1s
[16000/16000]	[L1: 0.0639]	93.3+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.649 (Best: 28.666 @epoch 28)
Forward: 33.94s

Saving...
Total: 34.49s

[Epoch 32]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0633]	92.8+0.6s
[3200/16000]	[L1: 0.0632]	92.8+0.1s
[4800/16000]	[L1: 0.0635]	92.7+0.1s
[6400/16000]	[L1: 0.0631]	92.7+0.1s
[8000/16000]	[L1: 0.0634]	93.4+0.1s
[9600/16000]	[L1: 0.0634]	92.8+0.1s
[11200/16000]	[L1: 0.0634]	92.7+0.1s
[12800/16000]	[L1: 0.0635]	91.8+0.0s
[14400/16000]	[L1: 0.0633]	92.7+0.1s
[16000/16000]	[L1: 0.0635]	92.8+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.651 (Best: 28.666 @epoch 28)
Forward: 34.00s

Saving...
Total: 34.91s

[Epoch 33]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0640]	92.6+0.7s
[3200/16000]	[L1: 0.0636]	92.6+0.1s
[4800/16000]	[L1: 0.0632]	93.2+0.1s
[6400/16000]	[L1: 0.0630]	92.5+0.1s
[8000/16000]	[L1: 0.0629]	92.7+0.1s
[9600/16000]	[L1: 0.0630]	92.7+0.1s
[11200/16000]	[L1: 0.0632]	92.8+0.1s
[12800/16000]	[L1: 0.0633]	92.6+0.1s
[14400/16000]	[L1: 0.0634]	93.0+0.1s
[16000/16000]	[L1: 0.0635]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.679 (Best: 28.679 @epoch 33)
Forward: 33.99s

Saving...
Total: 34.75s

[Epoch 34]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0635]	92.6+0.6s
[3200/16000]	[L1: 0.0635]	92.8+0.1s
[4800/16000]	[L1: 0.0635]	93.2+0.1s
[6400/16000]	[L1: 0.0639]	92.8+0.1s
[8000/16000]	[L1: 0.0636]	92.8+0.1s
[9600/16000]	[L1: 0.0635]	92.9+0.1s
[11200/16000]	[L1: 0.0634]	92.8+0.1s
[12800/16000]	[L1: 0.0633]	92.8+0.1s
[14400/16000]	[L1: 0.0632]	93.0+0.1s
[16000/16000]	[L1: 0.0633]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.676 (Best: 28.679 @epoch 33)
Forward: 33.95s

Saving...
Total: 34.54s

[Epoch 35]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0643]	92.7+0.7s
[3200/16000]	[L1: 0.0637]	92.6+0.1s
[4800/16000]	[L1: 0.0633]	92.8+0.1s
[6400/16000]	[L1: 0.0636]	92.7+0.1s
[8000/16000]	[L1: 0.0637]	92.7+0.1s
[9600/16000]	[L1: 0.0637]	92.6+0.1s
[11200/16000]	[L1: 0.0639]	92.6+0.1s
[12800/16000]	[L1: 0.0637]	93.1+0.1s
[14400/16000]	[L1: 0.0636]	92.6+0.1s
[16000/16000]	[L1: 0.0637]	93.2+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.655 (Best: 28.679 @epoch 33)
Forward: 33.93s

Saving...
Total: 34.87s

[Epoch 36]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0631]	92.8+0.7s
[3200/16000]	[L1: 0.0632]	92.6+0.1s
[4800/16000]	[L1: 0.0629]	93.1+0.1s
[6400/16000]	[L1: 0.0631]	92.6+0.1s
[8000/16000]	[L1: 0.0632]	93.0+0.1s
[9600/16000]	[L1: 0.0632]	92.6+0.1s
[11200/16000]	[L1: 0.0632]	92.8+0.1s
[12800/16000]	[L1: 0.0634]	92.6+0.1s
[14400/16000]	[L1: 0.0635]	92.9+0.1s
[16000/16000]	[L1: 0.0634]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.638 (Best: 28.679 @epoch 33)
Forward: 33.93s

Saving...
Total: 34.64s

[Epoch 37]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0623]	92.8+0.6s
[3200/16000]	[L1: 0.0628]	93.1+0.1s
[4800/16000]	[L1: 0.0627]	92.7+0.1s
[6400/16000]	[L1: 0.0629]	92.9+0.1s
[8000/16000]	[L1: 0.0629]	93.3+0.1s
[9600/16000]	[L1: 0.0628]	93.1+0.1s
[11200/16000]	[L1: 0.0627]	92.9+0.1s
[12800/16000]	[L1: 0.0630]	92.9+0.1s
[14400/16000]	[L1: 0.0629]	92.7+0.1s
[16000/16000]	[L1: 0.0628]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.663 (Best: 28.679 @epoch 33)
Forward: 33.86s

Saving...
Total: 34.61s

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 38]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0624]	86.3+0.6s
[3200/16000]	[L1: 0.0620]	89.5+0.1s
[4800/16000]	[L1: 0.0620]	93.4+0.1s
[6400/16000]	[L1: 0.0624]	93.4+0.1s
[8000/16000]	[L1: 0.0624]	93.7+0.1s
[9600/16000]	[L1: 0.0627]	93.8+0.1s
[11200/16000]	[L1: 0.0628]	93.5+0.1s
[12800/16000]	[L1: 0.0629]	93.5+0.1s
[14400/16000]	[L1: 0.0629]	93.8+0.1s
[16000/16000]	[L1: 0.0631]	93.8+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.645 (Best: 28.679 @epoch 33)
Forward: 34.20s

Saving...
Total: 34.89s

[Epoch 39]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0641]	93.6+0.6s
[3200/16000]	[L1: 0.0644]	93.8+0.1s
[4800/16000]	[L1: 0.0638]	93.5+0.1s
[6400/16000]	[L1: 0.0640]	93.9+0.1s
[8000/16000]	[L1: 0.0638]	93.5+0.1s
[9600/16000]	[L1: 0.0633]	93.5+0.1s
[11200/16000]	[L1: 0.0634]	93.6+0.1s
[12800/16000]	[L1: 0.0634]	93.8+0.1s
[14400/16000]	[L1: 0.0635]	93.5+0.0s
[16000/16000]	[L1: 0.0636]	93.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.681 (Best: 28.681 @epoch 39)
Forward: 33.82s

Saving...
Total: 34.41s

[Epoch 40]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0636]	93.4+0.6s
[3200/16000]	[L1: 0.0640]	93.8+0.1s
[4800/16000]	[L1: 0.0630]	94.0+0.1s
[6400/16000]	[L1: 0.0633]	93.7+0.1s
[8000/16000]	[L1: 0.0637]	93.7+0.1s
[9600/16000]	[L1: 0.0634]	93.7+0.1s
[11200/16000]	[L1: 0.0631]	93.6+0.1s
[12800/16000]	[L1: 0.0633]	93.5+0.1s
[14400/16000]	[L1: 0.0633]	93.4+0.0s
[16000/16000]	[L1: 0.0633]	93.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.708 (Best: 28.708 @epoch 40)
Forward: 33.88s

Saving...
Total: 34.62s

[Epoch 41]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0615]	93.6+0.6s
[3200/16000]	[L1: 0.0621]	93.6+0.1s
[4800/16000]	[L1: 0.0627]	93.9+0.1s
[6400/16000]	[L1: 0.0628]	93.4+0.1s
[8000/16000]	[L1: 0.0632]	93.9+0.1s
[9600/16000]	[L1: 0.0634]	93.4+0.0s
[11200/16000]	[L1: 0.0636]	93.5+0.1s
[12800/16000]	[L1: 0.0637]	93.7+0.1s
[14400/16000]	[L1: 0.0636]	93.6+0.1s
[16000/16000]	[L1: 0.0636]	93.7+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.678 (Best: 28.708 @epoch 40)
Forward: 33.81s

Saving...
Total: 34.45s

[Epoch 42]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0631]	93.7+0.6s
[3200/16000]	[L1: 0.0629]	93.5+0.1s
[4800/16000]	[L1: 0.0629]	93.8+0.1s
[6400/16000]	[L1: 0.0627]	93.9+0.1s
[8000/16000]	[L1: 0.0629]	93.6+0.1s
[9600/16000]	[L1: 0.0626]	93.9+0.1s
[11200/16000]	[L1: 0.0627]	93.5+0.1s
[12800/16000]	[L1: 0.0626]	93.7+0.1s
[14400/16000]	[L1: 0.0626]	93.8+0.1s
[16000/16000]	[L1: 0.0628]	93.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.704 (Best: 28.708 @epoch 40)
Forward: 33.81s

Saving...
Total: 34.42s

[Epoch 43]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0637]	94.2+0.6s
[3200/16000]	[L1: 0.0631]	93.2+0.1s
[4800/16000]	[L1: 0.0636]	93.5+0.1s
[6400/16000]	[L1: 0.0632]	94.0+0.1s
[8000/16000]	[L1: 0.0633]	93.5+0.1s
[9600/16000]	[L1: 0.0633]	93.9+0.1s
[11200/16000]	[L1: 0.0632]	93.6+0.1s
[12800/16000]	[L1: 0.0630]	93.5+0.0s
[14400/16000]	[L1: 0.0631]	93.7+0.1s
[16000/16000]	[L1: 0.0631]	93.4+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.715 (Best: 28.715 @epoch 43)
Forward: 33.82s

Saving...
Total: 34.47s

[Epoch 44]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0638]	93.6+0.6s
[3200/16000]	[L1: 0.0630]	93.4+0.1s
[4800/16000]	[L1: 0.0631]	93.4+0.1s
[6400/16000]	[L1: 0.0630]	93.9+0.1s
[8000/16000]	[L1: 0.0632]	93.7+0.1s
[9600/16000]	[L1: 0.0631]	93.4+0.0s
[11200/16000]	[L1: 0.0631]	93.3+0.1s
[12800/16000]	[L1: 0.0630]	93.6+0.1s
[14400/16000]	[L1: 0.0629]	93.7+0.1s
[16000/16000]	[L1: 0.0631]	93.4+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.735 (Best: 28.735 @epoch 44)
Forward: 33.82s

Saving...
Total: 34.38s

[Epoch 45]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0632]	93.9+0.6s
[3200/16000]	[L1: 0.0640]	94.2+0.1s
[4800/16000]	[L1: 0.0636]	94.0+0.1s
[6400/16000]	[L1: 0.0634]	93.6+0.1s
[8000/16000]	[L1: 0.0631]	93.0+0.1s
[9600/16000]	[L1: 0.0632]	93.8+0.1s
[11200/16000]	[L1: 0.0629]	94.3+0.1s
[12800/16000]	[L1: 0.0629]	93.6+0.1s
[14400/16000]	[L1: 0.0627]	93.9+0.1s
[16000/16000]	[L1: 0.0630]	93.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.701 (Best: 28.735 @epoch 44)
Forward: 33.92s

Saving...
Total: 34.55s

[Epoch 46]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0641]	93.4+0.6s
[3200/16000]	[L1: 0.0638]	94.0+0.1s
[4800/16000]	[L1: 0.0636]	93.9+0.1s
[6400/16000]	[L1: 0.0637]	93.8+0.1s
[8000/16000]	[L1: 0.0634]	93.9+0.1s
[9600/16000]	[L1: 0.0633]	94.3+0.1s
[11200/16000]	[L1: 0.0632]	93.6+0.1s
[12800/16000]	[L1: 0.0631]	93.6+0.1s
[14400/16000]	[L1: 0.0632]	93.9+0.1s
[16000/16000]	[L1: 0.0631]	93.5+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.733 (Best: 28.735 @epoch 44)
Forward: 33.85s

Saving...
Total: 34.54s

[Epoch 47]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0635]	93.8+0.6s
[3200/16000]	[L1: 0.0628]	93.7+0.1s
[4800/16000]	[L1: 0.0628]	93.8+0.1s
[6400/16000]	[L1: 0.0631]	93.6+0.1s
[8000/16000]	[L1: 0.0631]	93.7+0.1s
[9600/16000]	[L1: 0.0629]	93.3+0.1s
[11200/16000]	[L1: 0.0631]	93.9+0.1s
[12800/16000]	[L1: 0.0630]	93.6+0.1s
[14400/16000]	[L1: 0.0631]	93.9+0.1s
[16000/16000]	[L1: 0.0630]	93.5+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.704 (Best: 28.735 @epoch 44)
Forward: 33.84s

Saving...
Total: 34.34s

[Epoch 48]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0622]	93.6+0.5s
[3200/16000]	[L1: 0.0627]	93.8+0.1s
[4800/16000]	[L1: 0.0631]	93.7+0.1s
[6400/16000]	[L1: 0.0629]	93.9+0.1s
[8000/16000]	[L1: 0.0629]	93.8+0.1s
[9600/16000]	[L1: 0.0631]	93.7+0.1s
[11200/16000]	[L1: 0.0631]	94.0+0.1s
[12800/16000]	[L1: 0.0630]	93.8+0.1s
[14400/16000]	[L1: 0.0632]	93.9+0.1s
[16000/16000]	[L1: 0.0631]	94.1+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.727 (Best: 28.735 @epoch 44)
Forward: 33.96s

Saving...
Total: 34.53s

[Epoch 49]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0639]	94.2+0.6s
[3200/16000]	[L1: 0.0636]	93.8+0.1s
[4800/16000]	[L1: 0.0632]	93.5+0.1s
[6400/16000]	[L1: 0.0635]	93.3+0.1s
[8000/16000]	[L1: 0.0636]	93.8+0.1s
[9600/16000]	[L1: 0.0634]	93.5+0.1s
[11200/16000]	[L1: 0.0635]	93.6+0.1s
[12800/16000]	[L1: 0.0633]	93.5+0.1s
[14400/16000]	[L1: 0.0631]	94.3+0.1s
[16000/16000]	[L1: 0.0629]	93.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.705 (Best: 28.735 @epoch 44)
Forward: 33.90s

Saving...
Total: 34.52s

[Epoch 50]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0624]	93.5+0.6s
[3200/16000]	[L1: 0.0623]	93.7+0.1s
[4800/16000]	[L1: 0.0631]	93.7+0.1s
[6400/16000]	[L1: 0.0630]	93.9+0.1s
[8000/16000]	[L1: 0.0629]	93.7+0.1s
[9600/16000]	[L1: 0.0628]	93.6+0.1s
[11200/16000]	[L1: 0.0627]	93.8+0.1s
[12800/16000]	[L1: 0.0627]	93.6+0.1s
[14400/16000]	[L1: 0.0627]	93.7+0.1s
[16000/16000]	[L1: 0.0627]	93.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.715 (Best: 28.735 @epoch 44)
Forward: 33.82s

Saving...
Total: 34.45s

[Epoch 51]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0622]	93.6+0.6s
[3200/16000]	[L1: 0.0628]	93.4+0.1s
[4800/16000]	[L1: 0.0632]	93.8+0.1s
[6400/16000]	[L1: 0.0631]	93.7+0.1s
[8000/16000]	[L1: 0.0631]	93.3+0.1s
[9600/16000]	[L1: 0.0629]	93.9+0.1s
[11200/16000]	[L1: 0.0629]	93.8+0.1s
[12800/16000]	[L1: 0.0628]	93.8+0.1s
[14400/16000]	[L1: 0.0628]	94.1+0.1s
[16000/16000]	[L1: 0.0628]	93.7+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.713 (Best: 28.735 @epoch 44)
Forward: 33.83s

Saving...
Total: 34.36s

[Epoch 52]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0616]	94.1+0.7s
[3200/16000]	[L1: 0.0626]	93.6+0.1s
[4800/16000]	[L1: 0.0628]	93.8+0.1s
[6400/16000]	[L1: 0.0630]	93.7+0.1s
[8000/16000]	[L1: 0.0630]	93.8+0.1s
[9600/16000]	[L1: 0.0632]	93.2+0.1s
[11200/16000]	[L1: 0.0632]	93.8+0.1s
[12800/16000]	[L1: 0.0631]	94.2+0.1s
[14400/16000]	[L1: 0.0631]	94.1+0.1s
[16000/16000]	[L1: 0.0631]	93.8+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.725 (Best: 28.735 @epoch 44)
Forward: 33.97s

Saving...
Total: 34.62s

[Epoch 53]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0612]	93.7+0.6s
[3200/16000]	[L1: 0.0627]	93.8+0.1s
[4800/16000]	[L1: 0.0634]	93.6+0.1s
[6400/16000]	[L1: 0.0628]	93.8+0.1s
[8000/16000]	[L1: 0.0629]	93.8+0.1s
[9600/16000]	[L1: 0.0628]	94.2+0.1s
[11200/16000]	[L1: 0.0627]	93.6+0.1s
[12800/16000]	[L1: 0.0627]	93.8+0.1s
[14400/16000]	[L1: 0.0628]	94.1+0.1s
[16000/16000]	[L1: 0.0626]	93.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.740 (Best: 28.740 @epoch 53)
Forward: 33.88s

Saving...
Total: 34.66s

[Epoch 54]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0610]	93.5+0.6s
[3200/16000]	[L1: 0.0620]	93.9+0.1s
[4800/16000]	[L1: 0.0619]	94.0+0.1s
[6400/16000]	[L1: 0.0623]	93.5+0.1s
[8000/16000]	[L1: 0.0625]	93.7+0.1s
[9600/16000]	[L1: 0.0626]	93.8+0.1s
[11200/16000]	[L1: 0.0623]	94.5+0.1s
[12800/16000]	[L1: 0.0622]	93.9+0.1s
[14400/16000]	[L1: 0.0621]	93.8+0.1s
[16000/16000]	[L1: 0.0623]	94.1+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.704 (Best: 28.740 @epoch 53)
Forward: 33.80s

Saving...
Total: 34.32s

[Epoch 55]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0615]	93.8+0.6s
[3200/16000]	[L1: 0.0618]	93.6+0.1s
[4800/16000]	[L1: 0.0623]	93.9+0.1s
[6400/16000]	[L1: 0.0628]	93.8+0.1s
[8000/16000]	[L1: 0.0628]	94.0+0.1s
[9600/16000]	[L1: 0.0629]	94.3+0.1s
[11200/16000]	[L1: 0.0628]	93.9+0.1s
[12800/16000]	[L1: 0.0628]	93.7+0.1s
[14400/16000]	[L1: 0.0627]	93.9+0.1s
[16000/16000]	[L1: 0.0627]	94.0+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.702 (Best: 28.740 @epoch 53)
Forward: 34.01s

Saving...
Total: 34.76s

[Epoch 56]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0623]	93.6+0.7s
[3200/16000]	[L1: 0.0626]	93.8+0.1s
[4800/16000]	[L1: 0.0627]	93.9+0.1s
[6400/16000]	[L1: 0.0629]	93.8+0.1s
[8000/16000]	[L1: 0.0624]	93.6+0.1s
[9600/16000]	[L1: 0.0625]	93.9+0.1s
[11200/16000]	[L1: 0.0626]	93.9+0.1s
[12800/16000]	[L1: 0.0623]	93.7+0.1s
[14400/16000]	[L1: 0.0622]	94.0+0.1s
[16000/16000]	[L1: 0.0623]	93.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.714 (Best: 28.740 @epoch 53)
Forward: 33.94s

Saving...
Total: 34.65s

[Epoch 57]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0614]	94.0+0.6s
[3200/16000]	[L1: 0.0625]	93.9+0.1s
[4800/16000]	[L1: 0.0625]	93.7+0.1s
[6400/16000]	[L1: 0.0628]	93.8+0.1s
[8000/16000]	[L1: 0.0629]	93.8+0.1s
[9600/16000]	[L1: 0.0627]	93.3+0.1s
[11200/16000]	[L1: 0.0628]	93.7+0.1s
[12800/16000]	[L1: 0.0631]	93.8+0.1s
[14400/16000]	[L1: 0.0629]	93.9+0.1s
[16000/16000]	[L1: 0.0628]	93.7+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.679 (Best: 28.740 @epoch 53)
Forward: 33.87s

Saving...
Total: 34.50s

[Epoch 58]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0621]	93.9+0.7s
[3200/16000]	[L1: 0.0619]	93.6+0.1s
[4800/16000]	[L1: 0.0617]	94.0+0.1s
[6400/16000]	[L1: 0.0619]	94.1+0.1s
[8000/16000]	[L1: 0.0620]	93.9+0.1s
[9600/16000]	[L1: 0.0623]	94.4+0.1s
[11200/16000]	[L1: 0.0621]	93.9+0.1s
[12800/16000]	[L1: 0.0621]	93.6+0.1s
[14400/16000]	[L1: 0.0621]	93.9+0.1s
[16000/16000]	[L1: 0.0624]	93.7+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.740 (Best: 28.740 @epoch 58)
Forward: 33.85s

Saving...
Total: 34.50s

[Epoch 59]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0632]	93.7+0.6s
[3200/16000]	[L1: 0.0627]	93.6+0.1s
[4800/16000]	[L1: 0.0621]	94.0+0.1s
[6400/16000]	[L1: 0.0626]	93.8+0.1s
[8000/16000]	[L1: 0.0627]	93.7+0.1s
[9600/16000]	[L1: 0.0628]	94.2+0.1s
[11200/16000]	[L1: 0.0626]	93.7+0.1s
[12800/16000]	[L1: 0.0626]	93.8+0.1s
[14400/16000]	[L1: 0.0625]	93.7+0.1s
[16000/16000]	[L1: 0.0624]	93.7+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.703 (Best: 28.740 @epoch 58)
Forward: 33.89s

Saving...
Total: 34.51s

[Epoch 60]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0632]	93.6+0.6s
[3200/16000]	[L1: 0.0635]	93.7+0.1s
[4800/16000]	[L1: 0.0632]	94.1+0.1s
[6400/16000]	[L1: 0.0634]	93.6+0.1s
[8000/16000]	[L1: 0.0632]	93.6+0.1s
[9600/16000]	[L1: 0.0631]	93.9+0.1s
[11200/16000]	[L1: 0.0628]	94.0+0.1s
[12800/16000]	[L1: 0.0628]	94.0+0.1s
[14400/16000]	[L1: 0.0626]	94.1+0.1s
[16000/16000]	[L1: 0.0628]	93.3+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.734 (Best: 28.740 @epoch 58)
Forward: 33.97s

Saving...
Total: 34.68s

[Epoch 61]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0632]	94.1+0.6s
[3200/16000]	[L1: 0.0624]	94.1+0.1s
[4800/16000]	[L1: 0.0619]	93.9+0.1s
[6400/16000]	[L1: 0.0622]	93.8+0.1s
[8000/16000]	[L1: 0.0626]	93.4+0.1s
[9600/16000]	[L1: 0.0623]	93.8+0.1s
[11200/16000]	[L1: 0.0624]	94.0+0.1s
[12800/16000]	[L1: 0.0622]	93.8+0.1s
[14400/16000]	[L1: 0.0621]	93.8+0.1s
[16000/16000]	[L1: 0.0621]	93.5+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.732 (Best: 28.740 @epoch 58)
Forward: 33.85s

Saving...
Total: 34.40s

[Epoch 62]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0620]	94.2+0.6s
[3200/16000]	[L1: 0.0621]	94.0+0.1s
[4800/16000]	[L1: 0.0628]	94.1+0.1s
[6400/16000]	[L1: 0.0620]	94.0+0.1s
[8000/16000]	[L1: 0.0619]	94.0+0.1s
[9600/16000]	[L1: 0.0621]	93.8+0.1s
[11200/16000]	[L1: 0.0621]	93.7+0.1s
[12800/16000]	[L1: 0.0621]	94.0+0.1s
[14400/16000]	[L1: 0.0621]	94.3+0.1s
[16000/16000]	[L1: 0.0622]	93.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.727 (Best: 28.740 @epoch 58)
Forward: 33.90s

Saving...
Total: 34.44s

[Epoch 63]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0622]	94.1+0.6s
[3200/16000]	[L1: 0.0617]	94.0+0.1s
[4800/16000]	[L1: 0.0621]	93.8+0.1s
[6400/16000]	[L1: 0.0618]	93.9+0.1s
[8000/16000]	[L1: 0.0621]	94.1+0.1s
[9600/16000]	[L1: 0.0620]	93.6+0.1s
[11200/16000]	[L1: 0.0622]	93.7+0.1s
[12800/16000]	[L1: 0.0623]	93.9+0.1s
[14400/16000]	[L1: 0.0624]	93.8+0.1s
[16000/16000]	[L1: 0.0624]	93.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.762 (Best: 28.762 @epoch 63)
Forward: 33.93s

Saving...
Total: 34.61s

[Epoch 64]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0628]	94.3+0.6s
[3200/16000]	[L1: 0.0628]	92.9+0.1s
[4800/16000]	[L1: 0.0625]	93.4+0.1s
[6400/16000]	[L1: 0.0628]	93.7+0.1s
[8000/16000]	[L1: 0.0627]	94.0+0.1s
[9600/16000]	[L1: 0.0627]	93.9+0.1s
[11200/16000]	[L1: 0.0627]	93.8+0.1s
[12800/16000]	[L1: 0.0628]	93.7+0.1s
[14400/16000]	[L1: 0.0627]	93.5+0.1s
[16000/16000]	[L1: 0.0628]	93.5+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.743 (Best: 28.762 @epoch 63)
Forward: 33.91s

Saving...
Total: 34.47s

[Epoch 65]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0622]	93.7+0.5s
[3200/16000]	[L1: 0.0623]	93.6+0.1s
[4800/16000]	[L1: 0.0624]	93.7+0.1s
[6400/16000]	[L1: 0.0622]	94.0+0.1s
[8000/16000]	[L1: 0.0622]	94.2+0.1s
[9600/16000]	[L1: 0.0624]	93.8+0.1s
[11200/16000]	[L1: 0.0626]	93.8+0.1s
[12800/16000]	[L1: 0.0627]	93.8+0.1s
[14400/16000]	[L1: 0.0627]	94.2+0.1s
[16000/16000]	[L1: 0.0629]	94.2+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.728 (Best: 28.762 @epoch 63)
Forward: 33.87s

Saving...
Total: 34.62s

[Epoch 66]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0636]	93.4+0.7s
[3200/16000]	[L1: 0.0628]	93.9+0.1s
[4800/16000]	[L1: 0.0632]	93.6+0.1s
[6400/16000]	[L1: 0.0632]	93.9+0.1s
[8000/16000]	[L1: 0.0629]	94.0+0.1s
[9600/16000]	[L1: 0.0625]	93.7+0.1s
[11200/16000]	[L1: 0.0625]	93.8+0.1s
[12800/16000]	[L1: 0.0628]	94.2+0.1s
[14400/16000]	[L1: 0.0627]	93.6+0.1s
[16000/16000]	[L1: 0.0626]	94.1+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.704 (Best: 28.762 @epoch 63)
Forward: 33.86s

Saving...
Total: 34.44s

[Epoch 67]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0615]	93.9+0.7s
[3200/16000]	[L1: 0.0613]	93.8+0.1s
[4800/16000]	[L1: 0.0618]	94.1+0.1s
[6400/16000]	[L1: 0.0618]	93.8+0.1s
[8000/16000]	[L1: 0.0620]	93.7+0.1s
[9600/16000]	[L1: 0.0621]	93.8+0.1s
[11200/16000]	[L1: 0.0620]	93.9+0.1s
[12800/16000]	[L1: 0.0621]	94.0+0.1s
[14400/16000]	[L1: 0.0622]	94.1+0.1s
[16000/16000]	[L1: 0.0622]	93.8+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.755 (Best: 28.762 @epoch 63)
Forward: 33.85s

Saving...
Total: 34.39s

[Epoch 68]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0610]	93.6+0.5s
[3200/16000]	[L1: 0.0613]	93.6+0.1s
[4800/16000]	[L1: 0.0620]	93.3+0.1s
[6400/16000]	[L1: 0.0622]	93.9+0.1s
[8000/16000]	[L1: 0.0620]	94.0+0.1s
[9600/16000]	[L1: 0.0624]	93.8+0.1s
[11200/16000]	[L1: 0.0623]	93.9+0.1s
[12800/16000]	[L1: 0.0625]	94.2+0.1s
[14400/16000]	[L1: 0.0624]	93.9+0.1s
[16000/16000]	[L1: 0.0625]	94.0+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.745 (Best: 28.762 @epoch 63)
Forward: 33.85s

Saving...
Total: 34.37s

[Epoch 69]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0624]	93.6+0.6s
[3200/16000]	[L1: 0.0630]	94.2+0.1s
[4800/16000]	[L1: 0.0627]	93.7+0.1s
[6400/16000]	[L1: 0.0629]	94.2+0.1s
[8000/16000]	[L1: 0.0628]	93.9+0.1s
[9600/16000]	[L1: 0.0630]	93.8+0.1s
[11200/16000]	[L1: 0.0627]	93.9+0.1s
[12800/16000]	[L1: 0.0626]	94.0+0.1s
[14400/16000]	[L1: 0.0625]	94.5+0.1s
[16000/16000]	[L1: 0.0625]	94.2+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.759 (Best: 28.762 @epoch 63)
Forward: 33.89s

Saving...
Total: 34.42s

[Epoch 70]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0602]	93.7+0.6s
[3200/16000]	[L1: 0.0608]	93.9+0.1s
[4800/16000]	[L1: 0.0613]	94.0+0.1s
[6400/16000]	[L1: 0.0617]	93.6+0.1s
[8000/16000]	[L1: 0.0618]	93.8+0.1s
[9600/16000]	[L1: 0.0620]	93.7+0.1s
[11200/16000]	[L1: 0.0624]	93.6+0.1s
[12800/16000]	[L1: 0.0624]	93.9+0.1s
[14400/16000]	[L1: 0.0625]	93.8+0.1s
[16000/16000]	[L1: 0.0625]	93.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.740 (Best: 28.762 @epoch 63)
Forward: 33.87s

Saving...
Total: 34.57s

[Epoch 71]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0635]	94.2+0.7s
[3200/16000]	[L1: 0.0628]	94.3+0.1s
[4800/16000]	[L1: 0.0623]	93.8+0.1s
[6400/16000]	[L1: 0.0621]	93.8+0.1s
[8000/16000]	[L1: 0.0620]	93.8+0.1s
[9600/16000]	[L1: 0.0620]	94.1+0.1s
[11200/16000]	[L1: 0.0619]	93.9+0.1s
[12800/16000]	[L1: 0.0619]	93.8+0.1s
[14400/16000]	[L1: 0.0620]	93.9+0.1s
[16000/16000]	[L1: 0.0621]	93.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.780 (Best: 28.780 @epoch 71)
Forward: 33.80s

Saving...
Total: 34.42s

[Epoch 72]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0605]	93.8+0.6s
[3200/16000]	[L1: 0.0620]	93.9+0.1s
[4800/16000]	[L1: 0.0622]	93.8+0.1s
[6400/16000]	[L1: 0.0625]	93.7+0.1s
[8000/16000]	[L1: 0.0626]	93.6+0.1s
[9600/16000]	[L1: 0.0626]	93.6+0.1s
[11200/16000]	[L1: 0.0625]	93.8+0.1s
[12800/16000]	[L1: 0.0624]	93.8+0.1s
[14400/16000]	[L1: 0.0623]	94.1+0.1s
[16000/16000]	[L1: 0.0624]	93.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.766 (Best: 28.780 @epoch 71)
Forward: 33.91s

Saving...
Total: 34.54s

[Epoch 73]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0631]	93.7+0.6s
[3200/16000]	[L1: 0.0626]	94.0+0.1s
[4800/16000]	[L1: 0.0624]	93.0+0.1s
[6400/16000]	[L1: 0.0624]	93.6+0.1s
[8000/16000]	[L1: 0.0620]	93.8+0.1s
[9600/16000]	[L1: 0.0620]	94.0+0.1s
[11200/16000]	[L1: 0.0618]	93.8+0.1s
[12800/16000]	[L1: 0.0619]	93.6+0.1s
[14400/16000]	[L1: 0.0619]	93.6+0.1s
[16000/16000]	[L1: 0.0618]	93.4+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.744 (Best: 28.780 @epoch 71)
Forward: 33.88s

Saving...
Total: 34.56s

[Epoch 74]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0629]	93.7+0.6s
[3200/16000]	[L1: 0.0624]	93.7+0.1s
[4800/16000]	[L1: 0.0617]	93.5+0.1s
[6400/16000]	[L1: 0.0614]	93.9+0.1s
[8000/16000]	[L1: 0.0620]	93.9+0.1s
[9600/16000]	[L1: 0.0620]	92.9+0.1s
[11200/16000]	[L1: 0.0621]	93.8+0.1s
[12800/16000]	[L1: 0.0619]	94.3+0.1s
[14400/16000]	[L1: 0.0619]	93.7+0.1s
[16000/16000]	[L1: 0.0620]	93.5+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.744 (Best: 28.780 @epoch 71)
Forward: 33.99s

Saving...
Total: 34.55s

[Epoch 75]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0648]	93.9+0.6s
[3200/16000]	[L1: 0.0629]	93.8+0.1s
[4800/16000]	[L1: 0.0629]	93.3+0.1s
[6400/16000]	[L1: 0.0626]	93.5+0.1s
[8000/16000]	[L1: 0.0627]	93.5+0.1s
[9600/16000]	[L1: 0.0625]	93.7+0.1s
[11200/16000]	[L1: 0.0625]	93.7+0.1s
[12800/16000]	[L1: 0.0626]	93.6+0.1s
[14400/16000]	[L1: 0.0626]	94.1+0.1s
[16000/16000]	[L1: 0.0627]	93.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.733 (Best: 28.780 @epoch 71)
Forward: 33.93s

Saving...
Total: 34.59s

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 76]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0607]	90.1+1.6s
[3200/16000]	[L1: 0.0613]	89.4+0.1s
[4800/16000]	[L1: 0.0621]	92.6+0.0s
[6400/16000]	[L1: 0.0620]	92.6+0.1s
[8000/16000]	[L1: 0.0619]	92.5+0.0s
[9600/16000]	[L1: 0.0624]	92.7+0.1s
[11200/16000]	[L1: 0.0622]	92.5+0.1s
[12800/16000]	[L1: 0.0626]	92.2+0.0s
[14400/16000]	[L1: 0.0626]	92.8+0.1s
[16000/16000]	[L1: 0.0627]	92.8+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.787 (Best: 28.787 @epoch 76)
Forward: 33.93s

Saving...
Total: 34.85s

[Epoch 77]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0626]	92.7+0.6s
[3200/16000]	[L1: 0.0621]	93.0+0.1s
[4800/16000]	[L1: 0.0618]	92.5+0.1s
[6400/16000]	[L1: 0.0621]	92.4+0.0s
[8000/16000]	[L1: 0.0622]	93.0+0.1s
[9600/16000]	[L1: 0.0621]	92.7+0.0s
[11200/16000]	[L1: 0.0621]	92.8+0.1s
[12800/16000]	[L1: 0.0623]	92.7+0.1s
[14400/16000]	[L1: 0.0623]	93.5+0.0s
[16000/16000]	[L1: 0.0622]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.759 (Best: 28.787 @epoch 76)
Forward: 33.98s

Saving...
Total: 34.72s

[Epoch 78]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0626]	92.7+0.6s
[3200/16000]	[L1: 0.0623]	92.5+0.0s
[4800/16000]	[L1: 0.0623]	92.9+0.0s
[6400/16000]	[L1: 0.0623]	92.9+0.0s
[8000/16000]	[L1: 0.0626]	92.6+0.1s
[9600/16000]	[L1: 0.0626]	92.8+0.1s
[11200/16000]	[L1: 0.0627]	92.6+0.0s
[12800/16000]	[L1: 0.0626]	93.7+0.1s
[14400/16000]	[L1: 0.0626]	93.4+0.0s
[16000/16000]	[L1: 0.0626]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.758 (Best: 28.787 @epoch 76)
Forward: 33.93s

Saving...
Total: 34.54s

[Epoch 79]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0607]	92.8+0.5s
[3200/16000]	[L1: 0.0614]	92.6+0.1s
[4800/16000]	[L1: 0.0615]	92.6+0.1s
[6400/16000]	[L1: 0.0615]	93.7+0.0s
[8000/16000]	[L1: 0.0613]	93.8+0.1s
[9600/16000]	[L1: 0.0615]	92.5+0.0s
[11200/16000]	[L1: 0.0615]	92.9+0.1s
[12800/16000]	[L1: 0.0617]	92.6+0.1s
[14400/16000]	[L1: 0.0617]	92.5+0.0s
[16000/16000]	[L1: 0.0618]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.763 (Best: 28.787 @epoch 76)
Forward: 33.88s

Saving...
Total: 34.48s

[Epoch 80]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0641]	93.2+0.6s
[3200/16000]	[L1: 0.0635]	93.3+0.1s
[4800/16000]	[L1: 0.0628]	93.4+0.1s
[6400/16000]	[L1: 0.0625]	92.7+0.0s
[8000/16000]	[L1: 0.0625]	92.6+0.1s
[9600/16000]	[L1: 0.0625]	92.8+0.0s
[11200/16000]	[L1: 0.0624]	92.7+0.1s
[12800/16000]	[L1: 0.0623]	92.1+0.0s
[14400/16000]	[L1: 0.0623]	92.4+0.0s
[16000/16000]	[L1: 0.0622]	92.4+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.781 (Best: 28.787 @epoch 76)
Forward: 33.90s

Saving...
Total: 34.48s

[Epoch 81]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0614]	92.8+0.6s
[3200/16000]	[L1: 0.0614]	92.7+0.1s
[4800/16000]	[L1: 0.0614]	92.6+0.1s
[6400/16000]	[L1: 0.0615]	92.9+0.1s
[8000/16000]	[L1: 0.0617]	92.9+0.1s
[9600/16000]	[L1: 0.0616]	92.9+0.1s
[11200/16000]	[L1: 0.0619]	92.8+0.1s
[12800/16000]	[L1: 0.0616]	92.7+0.1s
[14400/16000]	[L1: 0.0617]	92.7+0.1s
[16000/16000]	[L1: 0.0618]	92.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.779 (Best: 28.787 @epoch 76)
Forward: 33.87s

Saving...
Total: 34.64s

[Epoch 82]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0622]	92.8+0.6s
[3200/16000]	[L1: 0.0627]	92.7+0.1s
[4800/16000]	[L1: 0.0624]	93.0+0.1s
[6400/16000]	[L1: 0.0627]	92.8+0.1s
[8000/16000]	[L1: 0.0628]	93.0+0.0s
[9600/16000]	[L1: 0.0626]	92.5+0.1s
[11200/16000]	[L1: 0.0627]	93.0+0.1s
[12800/16000]	[L1: 0.0626]	92.9+0.0s
[14400/16000]	[L1: 0.0624]	92.8+0.0s
[16000/16000]	[L1: 0.0623]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.768 (Best: 28.787 @epoch 76)
Forward: 33.87s

Saving...
Total: 34.70s

[Epoch 83]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0624]	92.8+0.7s
[3200/16000]	[L1: 0.0623]	92.4+0.0s
[4800/16000]	[L1: 0.0618]	92.9+0.0s
[6400/16000]	[L1: 0.0623]	92.5+0.0s
[8000/16000]	[L1: 0.0622]	92.7+0.0s
[9600/16000]	[L1: 0.0620]	92.9+0.1s
[11200/16000]	[L1: 0.0621]	92.8+0.0s
[12800/16000]	[L1: 0.0619]	92.7+0.0s
[14400/16000]	[L1: 0.0619]	92.7+0.0s
[16000/16000]	[L1: 0.0621]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.779 (Best: 28.787 @epoch 76)
Forward: 33.91s

Saving...
Total: 34.50s

[Epoch 84]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0614]	92.7+0.6s
[3200/16000]	[L1: 0.0617]	92.8+0.1s
[4800/16000]	[L1: 0.0621]	92.6+0.1s
[6400/16000]	[L1: 0.0621]	93.2+0.0s
[8000/16000]	[L1: 0.0624]	93.1+0.1s
[9600/16000]	[L1: 0.0622]	92.9+0.0s
[11200/16000]	[L1: 0.0621]	93.5+0.1s
[12800/16000]	[L1: 0.0621]	92.7+0.1s
[14400/16000]	[L1: 0.0621]	92.8+0.1s
[16000/16000]	[L1: 0.0622]	92.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.790 (Best: 28.790 @epoch 84)
Forward: 33.91s

Saving...
Total: 34.55s

[Epoch 85]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0613]	92.6+0.6s
[3200/16000]	[L1: 0.0621]	92.6+0.1s
[4800/16000]	[L1: 0.0627]	92.6+0.1s
[6400/16000]	[L1: 0.0628]	92.4+0.1s
[8000/16000]	[L1: 0.0626]	92.5+0.1s
[9600/16000]	[L1: 0.0626]	92.7+0.1s
[11200/16000]	[L1: 0.0624]	92.8+0.1s
[12800/16000]	[L1: 0.0622]	92.9+0.1s
[14400/16000]	[L1: 0.0622]	92.9+0.1s
[16000/16000]	[L1: 0.0623]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.794 (Best: 28.794 @epoch 85)
Forward: 34.03s

Saving...
Total: 34.79s

[Epoch 86]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0632]	92.8+0.6s
[3200/16000]	[L1: 0.0633]	92.5+0.1s
[4800/16000]	[L1: 0.0627]	92.5+0.0s
[6400/16000]	[L1: 0.0622]	92.7+0.0s
[8000/16000]	[L1: 0.0622]	92.9+0.1s
[9600/16000]	[L1: 0.0621]	92.9+0.1s
[11200/16000]	[L1: 0.0620]	92.8+0.0s
[12800/16000]	[L1: 0.0620]	93.6+0.1s
[14400/16000]	[L1: 0.0619]	92.7+0.0s
[16000/16000]	[L1: 0.0621]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.769 (Best: 28.794 @epoch 85)
Forward: 33.92s

Saving...
Total: 34.47s

[Epoch 87]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0611]	92.8+0.6s
[3200/16000]	[L1: 0.0620]	92.7+0.0s
[4800/16000]	[L1: 0.0620]	92.9+0.0s
[6400/16000]	[L1: 0.0618]	92.6+0.0s
[8000/16000]	[L1: 0.0619]	92.7+0.1s
[9600/16000]	[L1: 0.0619]	93.0+0.0s
[11200/16000]	[L1: 0.0621]	92.9+0.1s
[12800/16000]	[L1: 0.0621]	93.0+0.1s
[14400/16000]	[L1: 0.0621]	93.2+0.1s
[16000/16000]	[L1: 0.0622]	92.5+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.800 (Best: 28.800 @epoch 87)
Forward: 33.92s

Saving...
Total: 34.86s

[Epoch 88]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0631]	92.9+1.0s
[3200/16000]	[L1: 0.0627]	92.7+0.1s
[4800/16000]	[L1: 0.0625]	92.7+0.1s
[6400/16000]	[L1: 0.0626]	92.6+0.1s
[8000/16000]	[L1: 0.0625]	92.7+0.1s
[9600/16000]	[L1: 0.0622]	92.7+0.1s
[11200/16000]	[L1: 0.0622]	92.6+0.1s
[12800/16000]	[L1: 0.0623]	92.6+0.1s
[14400/16000]	[L1: 0.0621]	92.7+0.1s
[16000/16000]	[L1: 0.0623]	92.6+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.797 (Best: 28.800 @epoch 87)
Forward: 34.07s

Saving...
Total: 34.70s

[Epoch 89]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0633]	92.6+0.7s
[3200/16000]	[L1: 0.0619]	93.1+0.1s
[4800/16000]	[L1: 0.0615]	92.4+0.1s
[6400/16000]	[L1: 0.0620]	93.1+0.1s
[8000/16000]	[L1: 0.0619]	92.7+0.1s
[9600/16000]	[L1: 0.0620]	92.5+0.1s
[11200/16000]	[L1: 0.0620]	92.9+0.1s
[12800/16000]	[L1: 0.0621]	92.7+0.0s
[14400/16000]	[L1: 0.0621]	92.7+0.1s
[16000/16000]	[L1: 0.0620]	92.4+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.769 (Best: 28.800 @epoch 87)
Forward: 33.85s

Saving...
Total: 34.31s

[Epoch 90]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0635]	92.6+0.6s
[3200/16000]	[L1: 0.0629]	92.7+0.1s
[4800/16000]	[L1: 0.0625]	92.0+0.0s
[6400/16000]	[L1: 0.0622]	92.6+0.1s
[8000/16000]	[L1: 0.0621]	92.8+0.1s
[9600/16000]	[L1: 0.0619]	92.5+0.0s
[11200/16000]	[L1: 0.0620]	93.0+0.0s
[12800/16000]	[L1: 0.0619]	92.7+0.0s
[14400/16000]	[L1: 0.0621]	92.9+0.0s
[16000/16000]	[L1: 0.0621]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.793 (Best: 28.800 @epoch 87)
Forward: 34.00s

Saving...
Total: 34.77s

[Epoch 91]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0606]	93.1+0.6s
[3200/16000]	[L1: 0.0603]	92.5+0.1s
[4800/16000]	[L1: 0.0607]	92.7+0.1s
[6400/16000]	[L1: 0.0606]	92.9+0.1s
[8000/16000]	[L1: 0.0615]	92.7+0.0s
[9600/16000]	[L1: 0.0617]	92.8+0.1s
[11200/16000]	[L1: 0.0618]	92.8+0.1s
[12800/16000]	[L1: 0.0617]	92.8+0.1s
[14400/16000]	[L1: 0.0616]	92.7+0.1s
[16000/16000]	[L1: 0.0616]	92.9+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.800 (Best: 28.800 @epoch 87)
Forward: 33.87s

Saving...
Total: 34.49s

[Epoch 92]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0646]	92.7+0.5s
[3200/16000]	[L1: 0.0632]	92.7+0.1s
[4800/16000]	[L1: 0.0621]	92.7+0.1s
[6400/16000]	[L1: 0.0620]	92.8+0.1s
[8000/16000]	[L1: 0.0621]	93.2+0.0s
[9600/16000]	[L1: 0.0622]	92.7+0.1s
[11200/16000]	[L1: 0.0621]	92.6+0.0s
[12800/16000]	[L1: 0.0622]	93.1+0.1s
[14400/16000]	[L1: 0.0622]	93.3+0.1s
[16000/16000]	[L1: 0.0622]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.750 (Best: 28.800 @epoch 87)
Forward: 33.93s

Saving...
Total: 34.46s

[Epoch 93]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0617]	92.4+0.6s
[3200/16000]	[L1: 0.0627]	92.9+0.1s
[4800/16000]	[L1: 0.0627]	93.4+0.0s
[6400/16000]	[L1: 0.0631]	92.6+0.1s
[8000/16000]	[L1: 0.0628]	92.7+0.1s
[9600/16000]	[L1: 0.0626]	92.7+0.1s
[11200/16000]	[L1: 0.0623]	92.9+0.0s
[12800/16000]	[L1: 0.0621]	92.8+0.0s
[14400/16000]	[L1: 0.0622]	92.6+0.0s
[16000/16000]	[L1: 0.0624]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.787 (Best: 28.800 @epoch 87)
Forward: 33.93s

Saving...
Total: 34.66s

[Epoch 94]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0621]	92.6+0.6s
[3200/16000]	[L1: 0.0626]	93.4+0.1s
[4800/16000]	[L1: 0.0619]	92.5+0.1s
[6400/16000]	[L1: 0.0617]	92.6+0.1s
[8000/16000]	[L1: 0.0617]	92.8+0.1s
[9600/16000]	[L1: 0.0617]	92.5+0.1s
[11200/16000]	[L1: 0.0617]	93.2+0.1s
[12800/16000]	[L1: 0.0620]	92.7+0.0s
[14400/16000]	[L1: 0.0621]	92.7+0.1s
[16000/16000]	[L1: 0.0621]	92.9+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.786 (Best: 28.800 @epoch 87)
Forward: 33.83s

Saving...
Total: 34.43s

[Epoch 95]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0624]	92.6+0.6s
[3200/16000]	[L1: 0.0623]	92.6+0.0s
[4800/16000]	[L1: 0.0621]	92.7+0.0s
[6400/16000]	[L1: 0.0622]	93.1+0.0s
[8000/16000]	[L1: 0.0621]	93.2+0.1s
[9600/16000]	[L1: 0.0622]	92.9+0.1s
[11200/16000]	[L1: 0.0622]	92.7+0.0s
[12800/16000]	[L1: 0.0622]	92.6+0.1s
[14400/16000]	[L1: 0.0623]	93.0+0.1s
[16000/16000]	[L1: 0.0621]	92.8+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.797 (Best: 28.800 @epoch 87)
Forward: 33.82s

Saving...
Total: 34.31s

[Epoch 96]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0634]	93.3+0.5s
[3200/16000]	[L1: 0.0623]	92.6+0.1s
[4800/16000]	[L1: 0.0621]	92.6+0.1s
[6400/16000]	[L1: 0.0620]	92.9+0.1s
[8000/16000]	[L1: 0.0619]	92.8+0.1s
[9600/16000]	[L1: 0.0622]	93.4+0.0s
[11200/16000]	[L1: 0.0620]	92.6+0.1s
[12800/16000]	[L1: 0.0618]	92.9+0.1s
[14400/16000]	[L1: 0.0619]	92.6+0.1s
[16000/16000]	[L1: 0.0619]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.792 (Best: 28.800 @epoch 87)
Forward: 33.85s

Saving...
Total: 34.32s

[Epoch 97]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0613]	92.7+0.5s
[3200/16000]	[L1: 0.0614]	92.5+0.1s
[4800/16000]	[L1: 0.0617]	93.2+0.1s
[6400/16000]	[L1: 0.0621]	92.6+0.1s
[8000/16000]	[L1: 0.0618]	92.4+0.0s
[9600/16000]	[L1: 0.0617]	92.6+0.1s
[11200/16000]	[L1: 0.0617]	92.8+0.1s
[12800/16000]	[L1: 0.0617]	92.7+0.1s
[14400/16000]	[L1: 0.0617]	92.8+0.1s
[16000/16000]	[L1: 0.0618]	93.0+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.808 (Best: 28.808 @epoch 97)
Forward: 33.85s

Saving...
Total: 34.38s

[Epoch 98]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0643]	92.4+0.6s
[3200/16000]	[L1: 0.0638]	93.1+0.0s
[4800/16000]	[L1: 0.0629]	92.7+0.1s
[6400/16000]	[L1: 0.0628]	92.7+0.0s
[8000/16000]	[L1: 0.0626]	92.4+0.0s
[9600/16000]	[L1: 0.0623]	92.7+0.0s
[11200/16000]	[L1: 0.0623]	93.0+0.0s
[12800/16000]	[L1: 0.0622]	92.8+0.1s
[14400/16000]	[L1: 0.0621]	92.5+0.0s
[16000/16000]	[L1: 0.0620]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.770 (Best: 28.808 @epoch 97)
Forward: 33.82s

Saving...
Total: 34.35s

[Epoch 99]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0630]	92.7+0.7s
[3200/16000]	[L1: 0.0628]	93.1+0.1s
[4800/16000]	[L1: 0.0626]	92.6+0.1s
[6400/16000]	[L1: 0.0625]	92.4+0.1s
[8000/16000]	[L1: 0.0622]	92.4+0.1s
[9600/16000]	[L1: 0.0624]	92.6+0.1s
[11200/16000]	[L1: 0.0624]	92.7+0.1s
[12800/16000]	[L1: 0.0624]	92.7+0.0s
[14400/16000]	[L1: 0.0623]	92.7+0.1s
[16000/16000]	[L1: 0.0623]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.714 (Best: 28.808 @epoch 97)
Forward: 33.85s

Saving...
Total: 34.30s

[Epoch 100]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0609]	92.7+0.6s
[3200/16000]	[L1: 0.0617]	92.7+0.1s
[4800/16000]	[L1: 0.0614]	92.9+0.1s
[6400/16000]	[L1: 0.0619]	92.8+0.1s
[8000/16000]	[L1: 0.0617]	92.9+0.1s
[9600/16000]	[L1: 0.0619]	94.0+0.1s
[11200/16000]	[L1: 0.0619]	92.7+0.0s
[12800/16000]	[L1: 0.0619]	92.5+0.1s
[14400/16000]	[L1: 0.0621]	92.8+0.0s
[16000/16000]	[L1: 0.0620]	92.4+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.774 (Best: 28.808 @epoch 97)
Forward: 33.89s

Saving...
Total: 34.48s

[Epoch 101]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0598]	92.8+0.6s
[3200/16000]	[L1: 0.0619]	92.7+0.1s
[4800/16000]	[L1: 0.0619]	92.8+0.1s
[6400/16000]	[L1: 0.0618]	92.6+0.1s
[8000/16000]	[L1: 0.0621]	93.0+0.1s
[9600/16000]	[L1: 0.0625]	92.7+0.0s
[11200/16000]	[L1: 0.0622]	92.5+0.1s
[12800/16000]	[L1: 0.0622]	92.9+0.0s
[14400/16000]	[L1: 0.0622]	92.6+0.1s
[16000/16000]	[L1: 0.0622]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.781 (Best: 28.808 @epoch 97)
Forward: 33.90s

Saving...
Total: 34.46s

[Epoch 102]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0611]	93.8+0.5s
[3200/16000]	[L1: 0.0618]	92.7+0.1s
[4800/16000]	[L1: 0.0620]	92.6+0.1s
[6400/16000]	[L1: 0.0620]	92.7+0.1s
[8000/16000]	[L1: 0.0621]	92.9+0.0s
[9600/16000]	[L1: 0.0621]	92.9+0.0s
[11200/16000]	[L1: 0.0622]	92.9+0.0s
[12800/16000]	[L1: 0.0621]	92.8+0.1s
[14400/16000]	[L1: 0.0621]	93.3+0.1s
[16000/16000]	[L1: 0.0622]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.796 (Best: 28.808 @epoch 97)
Forward: 33.85s

Saving...
Total: 34.41s

[Epoch 103]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0635]	92.8+0.6s
[3200/16000]	[L1: 0.0628]	93.1+0.1s
[4800/16000]	[L1: 0.0626]	92.5+0.0s
[6400/16000]	[L1: 0.0619]	93.6+0.1s
[8000/16000]	[L1: 0.0622]	93.4+0.0s
[9600/16000]	[L1: 0.0620]	93.0+0.1s
[11200/16000]	[L1: 0.0620]	92.7+0.1s
[12800/16000]	[L1: 0.0619]	93.2+0.1s
[14400/16000]	[L1: 0.0620]	92.8+0.0s
[16000/16000]	[L1: 0.0621]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.821 (Best: 28.821 @epoch 103)
Forward: 33.86s

Saving...
Total: 34.50s

[Epoch 104]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0630]	92.7+0.6s
[3200/16000]	[L1: 0.0623]	93.3+0.1s
[4800/16000]	[L1: 0.0625]	92.8+0.0s
[6400/16000]	[L1: 0.0626]	92.9+0.1s
[8000/16000]	[L1: 0.0624]	92.7+0.0s
[9600/16000]	[L1: 0.0623]	92.8+0.0s
[11200/16000]	[L1: 0.0622]	92.7+0.1s
[12800/16000]	[L1: 0.0621]	92.8+0.1s
[14400/16000]	[L1: 0.0621]	92.9+0.0s
[16000/16000]	[L1: 0.0621]	93.0+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.793 (Best: 28.821 @epoch 103)
Forward: 34.01s

Saving...
Total: 34.76s

[Epoch 105]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0642]	92.8+0.7s
[3200/16000]	[L1: 0.0630]	92.5+0.1s
[4800/16000]	[L1: 0.0624]	92.8+0.1s
[6400/16000]	[L1: 0.0621]	92.6+0.0s
[8000/16000]	[L1: 0.0620]	92.4+0.1s
[9600/16000]	[L1: 0.0621]	92.5+0.1s
[11200/16000]	[L1: 0.0622]	92.6+0.1s
[12800/16000]	[L1: 0.0621]	92.6+0.1s
[14400/16000]	[L1: 0.0619]	92.8+0.0s
[16000/16000]	[L1: 0.0619]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.788 (Best: 28.821 @epoch 103)
Forward: 33.86s

Saving...
Total: 34.39s

[Epoch 106]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0624]	93.0+0.6s
[3200/16000]	[L1: 0.0613]	92.8+0.1s
[4800/16000]	[L1: 0.0613]	93.1+0.1s
[6400/16000]	[L1: 0.0616]	92.7+0.1s
[8000/16000]	[L1: 0.0617]	92.7+0.1s
[9600/16000]	[L1: 0.0619]	92.6+0.1s
[11200/16000]	[L1: 0.0619]	92.6+0.1s
[12800/16000]	[L1: 0.0621]	92.8+0.1s
[14400/16000]	[L1: 0.0622]	92.7+0.1s
[16000/16000]	[L1: 0.0622]	92.9+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.790 (Best: 28.821 @epoch 103)
Forward: 33.83s

Saving...
Total: 34.49s

[Epoch 107]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0620]	92.8+0.6s
[3200/16000]	[L1: 0.0616]	92.6+0.0s
[4800/16000]	[L1: 0.0620]	92.7+0.1s
[6400/16000]	[L1: 0.0615]	92.7+0.1s
[8000/16000]	[L1: 0.0618]	92.6+0.1s
[9600/16000]	[L1: 0.0618]	92.6+0.1s
[11200/16000]	[L1: 0.0619]	92.9+0.1s
[12800/16000]	[L1: 0.0620]	92.6+0.1s
[14400/16000]	[L1: 0.0617]	92.9+0.1s
[16000/16000]	[L1: 0.0619]	92.3+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.789 (Best: 28.821 @epoch 103)
Forward: 33.95s

Saving...
Total: 34.38s

[Epoch 108]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0622]	93.3+0.6s
[3200/16000]	[L1: 0.0618]	93.0+0.1s
[4800/16000]	[L1: 0.0615]	93.1+0.1s
[6400/16000]	[L1: 0.0614]	92.8+0.1s
[8000/16000]	[L1: 0.0612]	92.9+0.1s
[9600/16000]	[L1: 0.0614]	93.3+0.1s
[11200/16000]	[L1: 0.0616]	93.0+0.1s
[12800/16000]	[L1: 0.0617]	93.9+0.1s
[14400/16000]	[L1: 0.0618]	92.6+0.1s
[16000/16000]	[L1: 0.0619]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.820 (Best: 28.821 @epoch 103)
Forward: 33.87s

Saving...
Total: 34.67s

[Epoch 109]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0622]	92.6+0.6s
[3200/16000]	[L1: 0.0623]	92.8+0.1s
[4800/16000]	[L1: 0.0621]	92.4+0.1s
[6400/16000]	[L1: 0.0624]	92.5+0.1s
[8000/16000]	[L1: 0.0620]	93.0+0.1s
[9600/16000]	[L1: 0.0618]	93.1+0.1s
[11200/16000]	[L1: 0.0618]	92.6+0.1s
[12800/16000]	[L1: 0.0617]	92.6+0.1s
[14400/16000]	[L1: 0.0616]	92.8+0.1s
[16000/16000]	[L1: 0.0617]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.822 (Best: 28.822 @epoch 109)
Forward: 33.85s

Saving...
Total: 34.53s

[Epoch 110]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0628]	93.8+0.6s
[3200/16000]	[L1: 0.0623]	93.1+0.1s
[4800/16000]	[L1: 0.0617]	93.2+0.1s
[6400/16000]	[L1: 0.0621]	92.8+0.1s
[8000/16000]	[L1: 0.0621]	92.6+0.1s
[9600/16000]	[L1: 0.0622]	92.9+0.1s
[11200/16000]	[L1: 0.0623]	92.8+0.1s
[12800/16000]	[L1: 0.0621]	93.5+0.1s
[14400/16000]	[L1: 0.0621]	92.8+0.1s
[16000/16000]	[L1: 0.0622]	92.9+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.804 (Best: 28.822 @epoch 109)
Forward: 33.83s

Saving...
Total: 34.35s

[Epoch 111]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0617]	92.8+0.5s
[3200/16000]	[L1: 0.0618]	92.8+0.1s
[4800/16000]	[L1: 0.0616]	92.9+0.1s
[6400/16000]	[L1: 0.0618]	92.7+0.1s
[8000/16000]	[L1: 0.0618]	92.9+0.1s
[9600/16000]	[L1: 0.0618]	92.9+0.1s
[11200/16000]	[L1: 0.0618]	93.0+0.1s
[12800/16000]	[L1: 0.0620]	92.5+0.1s
[14400/16000]	[L1: 0.0621]	93.3+0.1s
[16000/16000]	[L1: 0.0620]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.809 (Best: 28.822 @epoch 109)
Forward: 33.99s

Saving...
Total: 34.68s

[Epoch 112]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0609]	92.8+0.6s
[3200/16000]	[L1: 0.0614]	92.9+0.1s
[4800/16000]	[L1: 0.0614]	92.4+0.1s
[6400/16000]	[L1: 0.0615]	92.6+0.1s
[8000/16000]	[L1: 0.0615]	92.7+0.1s
[9600/16000]	[L1: 0.0614]	92.7+0.1s
[11200/16000]	[L1: 0.0613]	92.6+0.1s
[12800/16000]	[L1: 0.0615]	92.6+0.1s
[14400/16000]	[L1: 0.0614]	93.4+0.1s
[16000/16000]	[L1: 0.0614]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.825 (Best: 28.825 @epoch 112)
Forward: 33.92s

Saving...
Total: 34.78s

[Epoch 113]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0627]	92.8+0.6s
[3200/16000]	[L1: 0.0633]	92.7+0.1s
[4800/16000]	[L1: 0.0629]	92.8+0.1s
[6400/16000]	[L1: 0.0629]	92.6+0.1s
[8000/16000]	[L1: 0.0628]	92.6+0.1s
[9600/16000]	[L1: 0.0626]	92.9+0.1s
[11200/16000]	[L1: 0.0625]	92.8+0.0s
[12800/16000]	[L1: 0.0626]	92.9+0.1s
[14400/16000]	[L1: 0.0627]	92.9+0.0s
[16000/16000]	[L1: 0.0627]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.820 (Best: 28.825 @epoch 112)
Forward: 33.88s

Saving...
Total: 34.64s

[Epoch 114]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0624]	92.9+0.7s
[3200/16000]	[L1: 0.0626]	92.5+0.1s
[4800/16000]	[L1: 0.0621]	93.3+0.0s
[6400/16000]	[L1: 0.0617]	92.8+0.0s
[8000/16000]	[L1: 0.0622]	92.7+0.1s
[9600/16000]	[L1: 0.0619]	92.6+0.0s
[11200/16000]	[L1: 0.0619]	92.7+0.1s
[12800/16000]	[L1: 0.0620]	92.6+0.0s
[14400/16000]	[L1: 0.0620]	92.6+0.0s
[16000/16000]	[L1: 0.0623]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.796 (Best: 28.825 @epoch 112)
Forward: 33.89s

Saving...
Total: 34.48s

[Epoch 115]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0625]	92.6+0.5s
[3200/16000]	[L1: 0.0621]	92.5+0.1s
[4800/16000]	[L1: 0.0620]	92.8+0.1s
[6400/16000]	[L1: 0.0618]	92.9+0.1s
[8000/16000]	[L1: 0.0619]	92.6+0.1s
[9600/16000]	[L1: 0.0618]	92.6+0.1s
[11200/16000]	[L1: 0.0618]	92.7+0.1s
[12800/16000]	[L1: 0.0620]	92.7+0.1s
[14400/16000]	[L1: 0.0620]	92.6+0.1s
[16000/16000]	[L1: 0.0621]	92.4+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.798 (Best: 28.825 @epoch 112)
Forward: 33.93s

Saving...
Total: 34.56s

[Epoch 116]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0619]	92.5+0.6s
[3200/16000]	[L1: 0.0620]	93.4+0.1s
[4800/16000]	[L1: 0.0616]	93.0+0.0s
[6400/16000]	[L1: 0.0619]	92.5+0.1s
[8000/16000]	[L1: 0.0618]	92.6+0.0s
[9600/16000]	[L1: 0.0618]	92.6+0.1s
[11200/16000]	[L1: 0.0619]	93.0+0.1s
[12800/16000]	[L1: 0.0619]	93.2+0.1s
[14400/16000]	[L1: 0.0618]	92.9+0.1s
[16000/16000]	[L1: 0.0618]	93.2+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.800 (Best: 28.825 @epoch 112)
Forward: 33.89s

Saving...
Total: 34.40s

[Epoch 117]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0615]	92.7+0.5s
[3200/16000]	[L1: 0.0618]	93.1+0.1s
[4800/16000]	[L1: 0.0619]	93.0+0.1s
[6400/16000]	[L1: 0.0619]	92.7+0.1s
[8000/16000]	[L1: 0.0619]	92.6+0.1s
[9600/16000]	[L1: 0.0618]	93.5+0.0s
[11200/16000]	[L1: 0.0619]	92.7+0.1s
[12800/16000]	[L1: 0.0619]	93.1+0.1s
[14400/16000]	[L1: 0.0620]	92.7+0.0s
[16000/16000]	[L1: 0.0620]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.761 (Best: 28.825 @epoch 112)
Forward: 34.03s

Saving...
Total: 34.66s

[Epoch 118]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0627]	92.6+0.5s
[3200/16000]	[L1: 0.0615]	93.1+0.1s
[4800/16000]	[L1: 0.0620]	92.6+0.1s
[6400/16000]	[L1: 0.0618]	92.6+0.1s
[8000/16000]	[L1: 0.0619]	92.7+0.1s
[9600/16000]	[L1: 0.0621]	92.7+0.1s
[11200/16000]	[L1: 0.0620]	92.8+0.1s
[12800/16000]	[L1: 0.0620]	92.6+0.1s
[14400/16000]	[L1: 0.0618]	92.7+0.1s
[16000/16000]	[L1: 0.0617]	93.0+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.782 (Best: 28.825 @epoch 112)
Forward: 33.92s

Saving...
Total: 34.58s

[Epoch 119]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0614]	92.8+0.7s
[3200/16000]	[L1: 0.0617]	92.9+0.1s
[4800/16000]	[L1: 0.0620]	93.1+0.1s
[6400/16000]	[L1: 0.0623]	92.7+0.1s
[8000/16000]	[L1: 0.0623]	92.7+0.1s
[9600/16000]	[L1: 0.0623]	93.0+0.1s
[11200/16000]	[L1: 0.0623]	93.2+0.0s
[12800/16000]	[L1: 0.0623]	92.6+0.0s
[14400/16000]	[L1: 0.0621]	92.6+0.1s
[16000/16000]	[L1: 0.0621]	92.5+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.812 (Best: 28.825 @epoch 112)
Forward: 34.01s

Saving...
Total: 35.06s

[Epoch 120]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0630]	92.9+0.6s
[3200/16000]	[L1: 0.0623]	92.6+0.0s
[4800/16000]	[L1: 0.0621]	92.8+0.1s
[6400/16000]	[L1: 0.0622]	92.7+0.1s
[8000/16000]	[L1: 0.0620]	93.2+0.1s
[9600/16000]	[L1: 0.0619]	93.3+0.1s
[11200/16000]	[L1: 0.0619]	92.7+0.0s
[12800/16000]	[L1: 0.0619]	92.5+0.0s
[14400/16000]	[L1: 0.0620]	93.3+0.0s
[16000/16000]	[L1: 0.0621]	92.7+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.806 (Best: 28.825 @epoch 112)
Forward: 33.94s

Saving...
Total: 35.07s

[Epoch 121]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0632]	92.6+0.6s
[3200/16000]	[L1: 0.0619]	92.8+0.1s
[4800/16000]	[L1: 0.0616]	92.5+0.0s
[6400/16000]	[L1: 0.0618]	92.8+0.1s
[8000/16000]	[L1: 0.0614]	92.9+0.1s
[9600/16000]	[L1: 0.0615]	92.7+0.1s
[11200/16000]	[L1: 0.0616]	93.2+0.1s
[12800/16000]	[L1: 0.0615]	93.0+0.1s
[14400/16000]	[L1: 0.0616]	92.6+0.1s
[16000/16000]	[L1: 0.0616]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.805 (Best: 28.825 @epoch 112)
Forward: 33.94s

Saving...
Total: 35.14s

[Epoch 122]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0620]	92.6+0.6s
[3200/16000]	[L1: 0.0623]	92.7+0.1s
[4800/16000]	[L1: 0.0623]	92.7+0.1s
[6400/16000]	[L1: 0.0617]	92.6+0.1s
[8000/16000]	[L1: 0.0616]	92.7+0.0s
[9600/16000]	[L1: 0.0616]	92.6+0.1s
[11200/16000]	[L1: 0.0615]	92.9+0.0s
[12800/16000]	[L1: 0.0615]	92.6+0.1s
[14400/16000]	[L1: 0.0616]	92.7+0.0s
[16000/16000]	[L1: 0.0618]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.811 (Best: 28.825 @epoch 112)
Forward: 33.88s

Saving...
Total: 34.49s

[Epoch 123]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0619]	92.5+0.6s
[3200/16000]	[L1: 0.0614]	92.9+0.1s
[4800/16000]	[L1: 0.0619]	93.0+0.1s
[6400/16000]	[L1: 0.0620]	92.6+0.1s
[8000/16000]	[L1: 0.0618]	92.7+0.1s
[9600/16000]	[L1: 0.0618]	92.9+0.1s
[11200/16000]	[L1: 0.0620]	93.0+0.1s
[12800/16000]	[L1: 0.0619]	92.6+0.1s
[14400/16000]	[L1: 0.0618]	92.3+0.0s
[16000/16000]	[L1: 0.0618]	92.6+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.813 (Best: 28.825 @epoch 112)
Forward: 33.85s

Saving...
Total: 34.86s

[Epoch 124]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0623]	92.6+0.6s
[3200/16000]	[L1: 0.0625]	92.5+0.1s
[4800/16000]	[L1: 0.0622]	92.9+0.1s
[6400/16000]	[L1: 0.0623]	93.3+0.1s
[8000/16000]	[L1: 0.0621]	92.8+0.1s
[9600/16000]	[L1: 0.0620]	92.8+0.0s
[11200/16000]	[L1: 0.0619]	92.6+0.1s
[12800/16000]	[L1: 0.0616]	92.6+0.0s
[14400/16000]	[L1: 0.0615]	92.7+0.1s
[16000/16000]	[L1: 0.0615]	92.4+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.804 (Best: 28.825 @epoch 112)
Forward: 33.82s

Saving...
Total: 34.54s

[Epoch 125]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0615]	92.8+0.6s
[3200/16000]	[L1: 0.0617]	92.8+0.1s
[4800/16000]	[L1: 0.0615]	92.9+0.1s
[6400/16000]	[L1: 0.0614]	92.6+0.1s
[8000/16000]	[L1: 0.0617]	92.6+0.1s
[9600/16000]	[L1: 0.0619]	92.8+0.1s
[11200/16000]	[L1: 0.0620]	93.6+0.1s
[12800/16000]	[L1: 0.0618]	92.7+0.0s
[14400/16000]	[L1: 0.0617]	92.9+0.1s
[16000/16000]	[L1: 0.0617]	92.9+0.0s

Evaluation:
[DIV2K x10]	PSNR: 28.832 (Best: 28.832 @epoch 125)
Forward: 33.92s

Saving...
Total: 34.92s

[Epoch 126]	Learning rate: 1.00e-4
[1600/16000]	[L1: 0.0629]	92.8+0.6s
[3200/16000]	[L1: 0.0624]	92.6+0.1s
[4800/16000]	[L1: 0.0616]	92.7+0.1s
[6400/16000]	[L1: 0.0614]	92.8+0.1s
[8000/16000]	[L1: 0.0616]	93.0+0.1s
[9600/16000]	[L1: 0.0617]	93.3+0.1s
[11200/16000]	[L1: 0.0618]	92.6+0.1s
[12800/16000]	[L1: 0.0618]	93.0+0.1s
[14400/16000]	[L1: 0.0617]	92.9+0.1s
[16000/16000]	[L1: 0.0616]	93.0+0.1s

Evaluation:
[DIV2K x10]	PSNR: 28.807 (Best: 28.832 @epoch 125)
Forward: 33.93s

Saving...
Total: 34.86s