experiment/smgarn_1/log.txt

SMGARN(
  (Stage_I): Mask_Net(
    (head): Sequential(
      (0): Conv2d(3, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    )
    (g_mp1): SnowMaskBlock(
      (smblock): MaskBlock(
        (act): ReLU(inplace=True)
        (conv_head): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv_self): Conv2d(112, 112, kernel_size=(1, 1), stride=(1, 1))
        (conv1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv1_1): Conv2d(112, 112, kernel_size=(1, 1), stride=(1, 1))
        (conv1_2): Conv2d(112, 112, kernel_size=(1, 1), stride=(1, 1))
        (conv_tail): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (conv3): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (norm): LayerNorm((112,), eps=1e-05, elementwise_affine=True)
    )
    (conv_out1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (conv_out2): Conv2d(112, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  )
  (Stage_II): ReconstructNet(
    (fusion): FusionBlock(
      (act): ReLU(inplace=True)
      (conv_1): Conv2d(3, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv_2): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv_1_2): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv_2_2): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (ru_1): ResUnit(
        (act): ReLU(inplace=True)
        (conv1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2): Conv2d(112, 224, kernel_size=(1, 1), stride=(1, 1))
        (conv3): Conv2d(224, 112, kernel_size=(1, 1), stride=(1, 1))
      )
      (ru_2): ResUnit(
        (act): ReLU(inplace=True)
        (conv1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2): Conv2d(112, 224, kernel_size=(1, 1), stride=(1, 1))
        (conv3): Conv2d(224, 112, kernel_size=(1, 1), stride=(1, 1))
      )
      (ru_1_1): ResUnit(
        (act): ReLU(inplace=True)
        (conv1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2): Conv2d(112, 224, kernel_size=(1, 1), stride=(1, 1))
        (conv3): Conv2d(224, 112, kernel_size=(1, 1), stride=(1, 1))
      )
      (ru_2_1): ResUnit(
        (act): ReLU(inplace=True)
        (conv1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2): Conv2d(112, 224, kernel_size=(1, 1), stride=(1, 1))
        (conv3): Conv2d(224, 112, kernel_size=(1, 1), stride=(1, 1))
      )
      (ru): ResUnit(
        (act): ReLU(inplace=True)
        (conv1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2): Conv2d(112, 224, kernel_size=(1, 1), stride=(1, 1))
        (conv3): Conv2d(224, 112, kernel_size=(1, 1), stride=(1, 1))
      )
      (ru_): ResUnit(
        (act): ReLU(inplace=True)
        (conv1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2): Conv2d(112, 224, kernel_size=(1, 1), stride=(1, 1))
        (conv3): Conv2d(224, 112, kernel_size=(1, 1), stride=(1, 1))
      )
      (conv_tail_1): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv_tail_2): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    )
    (recon): Sequential(
      (0): MARB(
        (act): ReLU(inplace=True)
        (conv_dl2): Conv2d(112, 112, kernel_size=(1, 1), stride=(1, 1))
        (conv_dl3): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv_dl5): Conv2d(112, 112, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))
        (conv1_1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv1_2): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv1_3): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2_1): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2_2): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv_tail): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (1): MARB(
        (act): ReLU(inplace=True)
        (conv_dl2): Conv2d(112, 112, kernel_size=(1, 1), stride=(1, 1))
        (conv_dl3): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv_dl5): Conv2d(112, 112, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))
        (conv1_1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv1_2): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv1_3): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2_1): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2_2): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv_tail): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
      (2): MARB(
        (act): ReLU(inplace=True)
        (conv_dl2): Conv2d(112, 112, kernel_size=(1, 1), stride=(1, 1))
        (conv_dl3): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv_dl5): Conv2d(112, 112, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))
        (conv1_1): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv1_2): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv1_3): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2_1): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2_2): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv_tail): Conv2d(224, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (tail): Sequential(
      (0): Conv2d(112, 112, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (1): ReLU(inplace=True)
      (2): Conv2d(112, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    )
  )
)
[Epoch 1]	Learning rate: 1.00e-4
[1600/16000]	[L1: 47.8929]	14.1+2.4s
[3200/16000]	[L1: 39.1485]	10.5+2.0s
[4800/16000]	[L1: 36.0881]	11.5+2.0s
[6400/16000]	[L1: 33.8624]	10.2+2.3s
[8000/16000]	[L1: 32.3248]	10.2+2.4s
[9600/16000]	[L1: 31.3261]	11.2+2.1s
[11200/16000]	[L1: 30.6030]	10.2+2.4s
[12800/16000]	[L1: 29.9444]	10.1+2.3s
[14400/16000]	[L1: 29.2442]	11.2+2.1s
[16000/16000]	[L1: 28.5621]	10.4+2.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.56s

Saving...
Total: 2.21s

[Epoch 2]	Learning rate: 1.00e-4
[1600/16000]	[L1: 22.9611]	11.6+1.9s
[3200/16000]	[L1: 22.8063]	10.5+2.0s
[4800/16000]	[L1: 22.5382]	10.3+2.1s
[6400/16000]	[L1: 22.3339]	11.0+2.2s
[8000/16000]	[L1: 22.4234]	10.0+2.5s
[9600/16000]	[L1: 22.1952]	10.3+2.2s
[11200/16000]	[L1: 22.0444]	11.7+1.7s
[12800/16000]	[L1: 22.0328]	10.8+1.8s
[14400/16000]	[L1: 22.0057]	12.0+1.5s
[16000/16000]	[L1: 21.8648]	10.7+1.8s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.49s

Saving...
Total: 1.12s

[Epoch 3]	Learning rate: 1.00e-4
EWT(
  (DWT): DWT()
  (IWT): IWT()
  (trans): MFAM(
    (conv_first): Conv2d(24, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (patch_embed): PatchEmbed(
      (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    )
    (patch_unembed): PatchUnEmbed()
    (pos_drop): Dropout(p=0.0, inplace=False)
    (layers): ModuleList(
      (0): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): Identity()
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.014)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (1): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.029)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.043)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (2): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.057)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.071)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (2): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.086)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (3): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.100)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
    )
    (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    (conv_after_body): ResBlock(
      (body): Sequential(
        (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (1): ReLU(inplace=True)
        (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (conv_last): Conv2d(96, 12, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  )
)
EWT(
  (DWT): DWT()
  (IWT): IWT()
  (trans): MFAM(
    (conv_first): Conv2d(24, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (patch_embed): PatchEmbed(
      (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    )
    (patch_unembed): PatchUnEmbed()
    (pos_drop): Dropout(p=0.0, inplace=False)
    (layers): ModuleList(
      (0): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): Identity()
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.014)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (1): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.029)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.043)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (2): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.057)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.071)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (2): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.086)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (3): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.100)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
    )
    (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    (conv_after_body): ResBlock(
      (body): Sequential(
        (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (1): ReLU(inplace=True)
        (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (conv_last): Conv2d(96, 12, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  )
)
EWT(
  (DWT): DWT()
  (IWT): IWT()
  (trans): MFAM(
    (conv_first): Conv2d(24, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (patch_embed): PatchEmbed(
      (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    )
    (patch_unembed): PatchUnEmbed()
    (pos_drop): Dropout(p=0.0, inplace=False)
    (layers): ModuleList(
      (0): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): Identity()
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.014)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (1): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.029)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.043)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (2): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.057)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.071)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (2): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.086)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (3): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.100)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
    )
    (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    (conv_after_body): ResBlock(
      (body): Sequential(
        (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (1): ReLU(inplace=True)
        (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (conv_last): Conv2d(96, 12, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  )
)
[Epoch 1]	Learning rate: 1.00e-4
EWT(
  (DWT): DWT()
  (IWT): IWT()
  (trans): MFAM(
    (conv_first): Conv2d(24, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (patch_embed): PatchEmbed(
      (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    )
    (patch_unembed): PatchUnEmbed()
    (pos_drop): Dropout(p=0.0, inplace=False)
    (layers): ModuleList(
      (0): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): Identity()
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.014)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (1): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.029)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.043)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (2): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.057)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.071)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (2): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.086)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (3): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.100)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
    )
    (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    (conv_after_body): ResBlock(
      (body): Sequential(
        (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (1): ReLU(inplace=True)
        (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (conv_last): Conv2d(96, 12, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  )
)
[Epoch 1]	Learning rate: 1.00e-4
EWT(
  (DWT): DWT()
  (IWT): IWT()
  (trans): MFAM(
    (conv_first): Conv2d(24, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (patch_embed): PatchEmbed(
      (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    )
    (patch_unembed): PatchUnEmbed()
    (pos_drop): Dropout(p=0.0, inplace=False)
    (layers): ModuleList(
      (0): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): Identity()
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.014)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (1): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.029)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.043)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (2): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.057)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.071)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (2): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.086)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (3): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.100)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
    )
    (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    (conv_after_body): ResBlock(
      (body): Sequential(
        (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (1): ReLU(inplace=True)
        (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (conv_last): Conv2d(96, 12, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  )
)
[Epoch 1]	Learning rate: 1.00e-4
[1600/15960]	[L1: 38.9428]	12.2+0.5s
[3200/15960]	[L1: 28.3258]	8.8+0.1s
[4800/15960]	[L1: 23.4237]	8.9+0.1s
[6400/15960]	[L1: 20.4574]	9.7+0.1s
[8000/15960]	[L1: 18.3574]	8.9+0.1s
[9600/15960]	[L1: 16.5629]	9.1+0.1s
[11200/15960]	[L1: 14.9812]	9.9+0.1s
[12800/15960]	[L1: 13.6646]	9.3+0.1s
EWT(
  (DWT): DWT()
  (IWT): IWT()
  (trans): MFAM(
    (conv_first): Conv2d(24, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (patch_embed): PatchEmbed(
      (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    )
    (patch_unembed): PatchUnEmbed()
    (pos_drop): Dropout(p=0.0, inplace=False)
    (layers): ModuleList(
      (0): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): Identity()
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.014)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (1): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.029)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.043)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (2): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.057)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.071)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (2): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.086)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (3): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.100)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
    )
    (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    (conv_after_body): ResBlock(
      (body): Sequential(
        (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (1): ReLU(inplace=True)
        (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (conv_last): Conv2d(96, 12, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  )
)
[Epoch 1]	Learning rate: 1.00e-4
[1600/15960]	[L1: 38.9420]	12.8+0.8s
[3200/15960]	[L1: 28.3252]	10.5+0.1s
[4800/15960]	[L1: 23.4234]	9.7+0.1s
[6400/15960]	[L1: 20.4573]	9.8+0.1s
[8000/15960]	[L1: 18.3851]	10.1+0.1s
[9600/15960]	[L1: 16.6325]	10.9+0.1s
[11200/15960]	[L1: 15.0731]	10.7+0.1s
[12800/15960]	[L1: 13.7582]	9.9+0.1s
[14400/15960]	[L1: 12.6943]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.27s

Saving...
Total: 1.83s

[Epoch 2]	Learning rate: 1.00e-4
[1600/15960]	[L1: 3.6983]	11.1+0.6s
[3200/15960]	[L1: 3.7069]	11.0+0.1s
[4800/15960]	[L1: 3.6397]	10.7+0.1s
[6400/15960]	[L1: 3.5733]	10.8+0.1s
[8000/15960]	[L1: 3.5244]	10.9+0.1s
[9600/15960]	[L1: 3.4789]	10.3+0.1s
[11200/15960]	[L1: 3.4246]	10.7+0.1s
[12800/15960]	[L1: 3.3866]	10.8+0.1s
[14400/15960]	[L1: 3.3513]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.29s

Saving...
Total: 1.73s

[Epoch 3]	Learning rate: 1.00e-4
[1600/15960]	[L1: 2.9079]	11.0+0.6s
[3200/15960]	[L1: 2.8305]	10.7+0.1s
[4800/15960]	[L1: 2.8430]	10.8+0.1s
[6400/15960]	[L1: 2.8255]	9.8+0.1s
[8000/15960]	[L1: 2.7963]	10.7+0.1s
[9600/15960]	[L1: 2.7725]	10.5+0.1s
[11200/15960]	[L1: 2.7511]	9.8+0.1s
[12800/15960]	[L1: 2.7186]	9.9+0.1s
[14400/15960]	[L1: 2.6918]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.28s

Saving...
Total: 1.68s

[Epoch 4]	Learning rate: 1.00e-4
[1600/15960]	[L1: 2.4157]	11.2+0.6s
[3200/15960]	[L1: 2.4057]	11.0+0.1s
[4800/15960]	[L1: 2.4011]	11.0+0.1s
[6400/15960]	[L1: 2.3932]	10.8+0.1s
[8000/15960]	[L1: 2.3647]	10.7+0.1s
[9600/15960]	[L1: 2.3345]	10.8+0.1s
[11200/15960]	[L1: 2.3276]	10.8+0.1s
[12800/15960]	[L1: 2.3122]	10.7+0.1s
[14400/15960]	[L1: 2.2911]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.70s

[Epoch 5]	Learning rate: 1.00e-4
[1600/15960]	[L1: 2.1575]	11.1+0.6s
[3200/15960]	[L1: 2.1519]	10.9+0.1s
[4800/15960]	[L1: 2.1478]	10.9+0.1s
[6400/15960]	[L1: 2.1352]	10.5+0.1s
[8000/15960]	[L1: 2.1115]	11.1+0.1s
[9600/15960]	[L1: 2.0912]	11.3+0.1s
[11200/15960]	[L1: 2.0813]	10.9+0.1s
[12800/15960]	[L1: 2.0727]	10.9+0.1s
[14400/15960]	[L1: 2.0572]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 6]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.8861]	11.1+0.6s
[3200/15960]	[L1: 1.9382]	10.7+0.1s
[4800/15960]	[L1: 1.9322]	10.7+0.1s
[6400/15960]	[L1: 1.9300]	10.1+0.1s
[8000/15960]	[L1: 1.9217]	10.9+0.1s
[9600/15960]	[L1: 1.9021]	10.6+0.1s
[11200/15960]	[L1: 1.8806]	10.5+0.1s
[12800/15960]	[L1: 1.8709]	11.0+0.1s
[14400/15960]	[L1: 1.8670]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.29s

Saving...
Total: 1.71s

[Epoch 7]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.7570]	11.0+0.6s
[3200/15960]	[L1: 1.7700]	10.9+0.1s
[4800/15960]	[L1: 1.7694]	10.7+0.1s
[6400/15960]	[L1: 1.7587]	10.8+0.1s
[8000/15960]	[L1: 1.7544]	10.7+0.1s
[9600/15960]	[L1: 1.7551]	10.8+0.1s
[11200/15960]	[L1: 1.7459]	10.7+0.1s
[12800/15960]	[L1: 1.7297]	10.9+0.1s
[14400/15960]	[L1: 1.7208]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.72s

[Epoch 8]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.6361]	10.8+0.5s
[3200/15960]	[L1: 1.6477]	10.7+0.1s
[4800/15960]	[L1: 1.6361]	10.7+0.1s
[6400/15960]	[L1: 1.6118]	10.8+0.1s
[8000/15960]	[L1: 1.6054]	10.6+0.1s
[9600/15960]	[L1: 1.5998]	10.6+0.1s
[11200/15960]	[L1: 1.6011]	10.6+0.1s
[12800/15960]	[L1: 1.5952]	11.0+0.1s
[14400/15960]	[L1: 1.5922]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 9]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.4958]	11.3+0.6s
[3200/15960]	[L1: 1.4818]	10.9+0.1s
[4800/15960]	[L1: 1.4851]	10.9+0.1s
[6400/15960]	[L1: 1.5465]	11.1+0.1s
[8000/15960]	[L1: 1.5282]	10.8+0.1s
[9600/15960]	[L1: 1.5154]	11.1+0.1s
[11200/15960]	[L1: 1.5128]	10.9+0.1s
[12800/15960]	[L1: 1.5099]	11.1+0.1s
[14400/15960]	[L1: 1.5061]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.90s

[Epoch 10]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.4520]	11.2+0.6s
[3200/15960]	[L1: 1.4491]	11.0+0.1s
[4800/15960]	[L1: 1.4614]	10.5+0.1s
[6400/15960]	[L1: 1.4519]	10.1+0.1s
[8000/15960]	[L1: 1.4420]	10.3+0.1s
[9600/15960]	[L1: 1.4342]	10.4+0.1s
[11200/15960]	[L1: 1.4233]	10.3+0.1s
[12800/15960]	[L1: 1.4161]	9.6+0.1s
[14400/15960]	[L1: 1.4089]	9.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.70s

[Epoch 11]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.3887]	11.1+0.6s
[3200/15960]	[L1: 1.3857]	11.1+0.1s
[4800/15960]	[L1: 1.3828]	10.8+0.1s
[6400/15960]	[L1: 1.3922]	11.1+0.1s
[8000/15960]	[L1: 1.3814]	11.1+0.1s
[9600/15960]	[L1: 1.3933]	11.0+0.1s
[11200/15960]	[L1: 1.3831]	10.4+0.1s
[12800/15960]	[L1: 1.3691]	10.7+0.1s
[14400/15960]	[L1: 1.3671]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.74s

[Epoch 12]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.3377]	11.1+0.6s
[3200/15960]	[L1: 1.3461]	11.1+0.1s
[4800/15960]	[L1: 1.3558]	11.0+0.1s
[6400/15960]	[L1: 1.3292]	11.0+0.1s
[8000/15960]	[L1: 1.3217]	11.0+0.1s
[9600/15960]	[L1: 1.3114]	11.1+0.1s
[11200/15960]	[L1: 1.3097]	11.0+0.1s
[12800/15960]	[L1: 1.3020]	11.0+0.1s
[14400/15960]	[L1: 1.3004]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.29s

Saving...
Total: 1.69s

[Epoch 13]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.2745]	10.2+0.5s
[3200/15960]	[L1: 1.2774]	10.5+0.1s
[4800/15960]	[L1: 1.2784]	10.3+0.1s
[6400/15960]	[L1: 1.2646]	10.8+0.1s
[8000/15960]	[L1: 1.2646]	10.5+0.1s
[9600/15960]	[L1: 1.2606]	9.9+0.1s
[11200/15960]	[L1: 1.2568]	10.2+0.1s
[12800/15960]	[L1: 1.2578]	10.2+0.1s
[14400/15960]	[L1: 1.2537]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.29s

Saving...
Total: 1.67s

[Epoch 14]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.2125]	11.1+0.5s
[3200/15960]	[L1: 1.1873]	10.9+0.1s
[4800/15960]	[L1: 1.2245]	10.9+0.1s
[6400/15960]	[L1: 1.2298]	10.8+0.1s
[8000/15960]	[L1: 1.2156]	10.7+0.1s
[9600/15960]	[L1: 1.2063]	10.8+0.1s
[11200/15960]	[L1: 1.2107]	10.6+0.1s
[12800/15960]	[L1: 1.2068]	10.8+0.1s
[14400/15960]	[L1: 1.2013]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.72s

[Epoch 15]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.1775]	11.1+0.6s
[3200/15960]	[L1: 1.1935]	10.7+0.1s
[4800/15960]	[L1: 1.1770]	10.7+0.1s
[6400/15960]	[L1: 1.1866]	10.9+0.1s
[8000/15960]	[L1: 1.1921]	10.7+0.1s
[9600/15960]	[L1: 1.1801]	11.0+0.1s
[11200/15960]	[L1: 1.1734]	11.0+0.1s
[12800/15960]	[L1: 1.1694]	11.1+0.1s
[14400/15960]	[L1: 1.1652]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 0.76s

[Epoch 16]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.0795]	11.2+0.6s
[3200/15960]	[L1: 1.1053]	11.0+0.1s
[4800/15960]	[L1: 1.1239]	11.1+0.1s
[6400/15960]	[L1: 1.1242]	11.0+0.1s
[8000/15960]	[L1: 1.1197]	11.1+0.1s
[9600/15960]	[L1: 1.1207]	10.9+0.1s
[11200/15960]	[L1: 1.1174]	10.8+0.1s
[12800/15960]	[L1: 1.1111]	10.8+0.1s
[14400/15960]	[L1: 1.1123]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.28s

Saving...
Total: 1.69s

[Epoch 17]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.1130]	9.9+0.5s
[3200/15960]	[L1: 1.1171]	10.7+0.1s
[4800/15960]	[L1: 1.1032]	10.1+0.1s
[6400/15960]	[L1: 1.0958]	10.1+0.1s
[8000/15960]	[L1: 1.0980]	10.4+0.1s
[9600/15960]	[L1: 1.0969]	10.5+0.1s
[11200/15960]	[L1: 1.0922]	10.2+0.1s
[12800/15960]	[L1: 1.0848]	10.8+0.1s
[14400/15960]	[L1: 1.0855]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.70s

[Epoch 18]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.1244]	11.1+0.5s
[3200/15960]	[L1: 1.1172]	10.9+0.1s
[4800/15960]	[L1: 1.0872]	10.8+0.1s
[6400/15960]	[L1: 1.0643]	10.9+0.1s
[8000/15960]	[L1: 1.0794]	10.9+0.1s
[9600/15960]	[L1: 1.0696]	10.8+0.1s
[11200/15960]	[L1: 1.0654]	10.9+0.1s
[12800/15960]	[L1: 1.0585]	10.9+0.1s
[14400/15960]	[L1: 1.0674]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.72s

[Epoch 19]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.0598]	11.0+0.6s
[3200/15960]	[L1: 1.0623]	11.0+0.1s
[4800/15960]	[L1: 1.0658]	10.8+0.1s
[6400/15960]	[L1: 1.0611]	10.7+0.1s
[8000/15960]	[L1: 1.0471]	10.7+0.1s
[9600/15960]	[L1: 1.0444]	10.9+0.1s
[11200/15960]	[L1: 1.0435]	10.7+0.1s
[12800/15960]	[L1: 1.0392]	10.7+0.1s
[14400/15960]	[L1: 1.0341]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 0.75s

[Epoch 20]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.9785]	11.2+0.5s
[3200/15960]	[L1: 0.9945]	11.0+0.1s
[4800/15960]	[L1: 1.0242]	11.0+0.1s
[6400/15960]	[L1: 1.0295]	11.1+0.1s
[8000/15960]	[L1: 1.0315]	10.9+0.1s
[9600/15960]	[L1: 1.0310]	10.8+0.1s
[11200/15960]	[L1: 1.0283]	10.8+0.1s
[12800/15960]	[L1: 1.0337]	11.0+0.1s
[14400/15960]	[L1: 1.0321]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.29s

Saving...
Total: 1.70s

[Epoch 21]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.0225]	10.0+0.5s
[3200/15960]	[L1: 1.0289]	9.6+0.1s
[4800/15960]	[L1: 1.0155]	9.9+0.1s
[6400/15960]	[L1: 1.0139]	9.4+0.1s
[8000/15960]	[L1: 1.0110]	9.6+0.1s
[9600/15960]	[L1: 1.0113]	10.7+0.1s
[11200/15960]	[L1: 1.0023]	10.6+0.1s
[12800/15960]	[L1: 1.0021]	10.5+0.1s
[14400/15960]	[L1: 1.0018]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 22]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.9714]	11.1+0.5s
[3200/15960]	[L1: 0.9848]	10.8+0.1s
[4800/15960]	[L1: 0.9824]	10.4+0.1s
[6400/15960]	[L1: 0.9770]	9.6+0.1s
[8000/15960]	[L1: 0.9755]	10.5+0.1s
[9600/15960]	[L1: 0.9789]	10.5+0.1s
[11200/15960]	[L1: 0.9924]	10.2+0.1s
[12800/15960]	[L1: 0.9992]	10.7+0.1s
[14400/15960]	[L1: 0.9942]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 0.70s

[Epoch 23]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.9646]	11.3+0.5s
[3200/15960]	[L1: 0.9526]	11.0+0.1s
[4800/15960]	[L1: 0.9704]	11.1+0.1s
[6400/15960]	[L1: 0.9648]	11.0+0.1s
[8000/15960]	[L1: 0.9726]	11.0+0.1s
[9600/15960]	[L1: 0.9749]	11.1+0.1s
[11200/15960]	[L1: 0.9743]	11.0+0.1s
[12800/15960]	[L1: 0.9717]	10.7+0.1s
[14400/15960]	[L1: 0.9672]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.74s

[Epoch 24]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.9944]	10.9+0.5s
[3200/15960]	[L1: 0.9708]	11.0+0.1s
[4800/15960]	[L1: 0.9480]	11.0+0.1s
[6400/15960]	[L1: 0.9474]	10.7+0.1s
[8000/15960]	[L1: 0.9456]	10.6+0.1s
[9600/15960]	[L1: 0.9484]	11.0+0.1s
[11200/15960]	[L1: 0.9550]	10.7+0.1s
[12800/15960]	[L1: 0.9552]	10.3+0.1s
[14400/15960]	[L1: 0.9635]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.69s

[Epoch 25]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.9474]	11.1+0.5s
[3200/15960]	[L1: 0.9202]	10.5+0.1s
[4800/15960]	[L1: 0.9305]	11.1+0.1s
[6400/15960]	[L1: 0.9359]	10.8+0.1s
[8000/15960]	[L1: 0.9365]	10.9+0.1s
[9600/15960]	[L1: 0.9371]	10.9+0.1s
[11200/15960]	[L1: 0.9443]	11.0+0.1s
[12800/15960]	[L1: 0.9394]	10.8+0.1s
[14400/15960]	[L1: 0.9423]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.67s

[Epoch 26]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.9282]	10.7+0.6s
[3200/15960]	[L1: 0.9404]	9.4+0.1s
[4800/15960]	[L1: 0.9403]	10.8+0.1s
[6400/15960]	[L1: 0.9248]	11.0+0.1s
[8000/15960]	[L1: 0.9191]	10.9+0.1s
[9600/15960]	[L1: 0.9139]	10.7+0.1s
[11200/15960]	[L1: 0.9064]	10.7+0.1s
[12800/15960]	[L1: 0.9095]	10.8+0.1s
[14400/15960]	[L1: 0.9109]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.70s

[Epoch 27]	Learning rate: 1.00e-4
[1600/15960]	[L1: 1.0293]	10.5+0.6s
[3200/15960]	[L1: 0.9743]	10.6+0.1s
[4800/15960]	[L1: 0.9594]	10.6+0.1s
[6400/15960]	[L1: 0.9377]	10.7+0.1s
[8000/15960]	[L1: 0.9263]	10.8+0.1s
[9600/15960]	[L1: 0.9270]	10.8+0.1s
[11200/15960]	[L1: 0.9239]	10.7+0.1s
[12800/15960]	[L1: 0.9184]	10.8+0.1s
[14400/15960]	[L1: 0.9226]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.75s

[Epoch 28]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8785]	11.1+0.6s
[3200/15960]	[L1: 0.8891]	10.9+0.1s
[4800/15960]	[L1: 0.8959]	10.8+0.1s
[6400/15960]	[L1: 0.8921]	10.7+0.1s
[8000/15960]	[L1: 0.8860]	10.9+0.1s
[9600/15960]	[L1: 0.8833]	10.9+0.1s
[11200/15960]	[L1: 0.8822]	10.7+0.1s
[12800/15960]	[L1: 0.8858]	10.7+0.1s
[14400/15960]	[L1: 0.8868]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.70s

[Epoch 29]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8982]	10.9+0.6s
[3200/15960]	[L1: 0.8982]	10.9+0.1s
[4800/15960]	[L1: 0.9099]	10.7+0.1s
[6400/15960]	[L1: 0.8960]	10.8+0.1s
[8000/15960]	[L1: 0.8974]	10.7+0.1s
[9600/15960]	[L1: 0.8930]	11.0+0.1s
[11200/15960]	[L1: 0.8924]	10.8+0.1s
[12800/15960]	[L1: 0.8853]	11.0+0.1s
[14400/15960]	[L1: 0.8823]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.73s

[Epoch 30]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.9256]	10.8+0.6s
[3200/15960]	[L1: 0.9091]	11.1+0.1s
[4800/15960]	[L1: 0.8949]	11.0+0.1s
[6400/15960]	[L1: 0.8837]	11.1+0.1s
[8000/15960]	[L1: 0.8832]	10.7+0.1s
[9600/15960]	[L1: 0.8803]	11.0+0.1s
[11200/15960]	[L1: 0.8792]	10.2+0.1s
[12800/15960]	[L1: 0.8773]	10.1+0.1s
[14400/15960]	[L1: 0.8767]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 31]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8495]	11.2+0.5s
[3200/15960]	[L1: 0.8540]	11.2+0.1s
[4800/15960]	[L1: 0.8529]	11.0+0.1s
[6400/15960]	[L1: 0.8721]	10.7+0.1s
[8000/15960]	[L1: 0.8663]	10.8+0.1s
[9600/15960]	[L1: 0.8653]	10.9+0.1s
[11200/15960]	[L1: 0.8643]	10.8+0.1s
[12800/15960]	[L1: 0.8709]	10.8+0.1s
[14400/15960]	[L1: 0.8718]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.70s

[Epoch 32]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8321]	11.1+0.6s
[3200/15960]	[L1: 0.8398]	11.2+0.1s
[4800/15960]	[L1: 0.8389]	11.3+0.1s
[6400/15960]	[L1: 0.8537]	11.0+0.1s
[8000/15960]	[L1: 0.8571]	11.1+0.1s
[9600/15960]	[L1: 0.8582]	11.1+0.1s
[11200/15960]	[L1: 0.8538]	11.0+0.1s
[12800/15960]	[L1: 0.8540]	11.0+0.1s
[14400/15960]	[L1: 0.8552]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.76s

[Epoch 33]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8221]	10.9+0.6s
[3200/15960]	[L1: 0.8368]	10.9+0.1s
[4800/15960]	[L1: 0.8575]	10.8+0.1s
[6400/15960]	[L1: 0.8509]	10.8+0.1s
[8000/15960]	[L1: 0.8477]	10.8+0.1s
[9600/15960]	[L1: 0.8520]	10.8+0.1s
[11200/15960]	[L1: 0.8615]	10.7+0.1s
[12800/15960]	[L1: 0.8641]	10.7+0.1s
[14400/15960]	[L1: 0.8618]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.76s

[Epoch 34]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8210]	11.1+0.6s
[3200/15960]	[L1: 0.8519]	10.8+0.1s
[4800/15960]	[L1: 0.8559]	10.8+0.1s
[6400/15960]	[L1: 0.8515]	11.2+0.1s
[8000/15960]	[L1: 0.8421]	10.9+0.1s
[9600/15960]	[L1: 0.8419]	10.9+0.1s
[11200/15960]	[L1: 0.8504]	10.9+0.1s
[12800/15960]	[L1: 0.8450]	11.2+0.1s
[14400/15960]	[L1: 0.8404]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.70s

[Epoch 35]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8519]	11.2+0.6s
[3200/15960]	[L1: 0.8712]	10.7+0.1s
[4800/15960]	[L1: 0.8642]	10.9+0.1s
[6400/15960]	[L1: 0.8552]	10.9+0.1s
[8000/15960]	[L1: 0.8406]	10.9+0.1s
[9600/15960]	[L1: 0.8344]	10.8+0.1s
[11200/15960]	[L1: 0.8436]	10.8+0.1s
[12800/15960]	[L1: 0.8396]	11.1+0.1s
[14400/15960]	[L1: 0.8464]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.69s

[Epoch 36]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8047]	10.9+0.5s
[3200/15960]	[L1: 0.8114]	10.7+0.1s
[4800/15960]	[L1: 0.8087]	10.9+0.1s
[6400/15960]	[L1: 0.8161]	10.8+0.1s
[8000/15960]	[L1: 0.8105]	10.7+0.1s
[9600/15960]	[L1: 0.8184]	10.7+0.1s
[11200/15960]	[L1: 0.8254]	10.7+0.1s
[12800/15960]	[L1: 0.8273]	10.8+0.1s
[14400/15960]	[L1: 0.8219]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.29s

Saving...
Total: 1.70s

[Epoch 37]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7874]	11.0+0.5s
[3200/15960]	[L1: 0.8270]	10.7+0.1s
[4800/15960]	[L1: 0.8422]	10.9+0.1s
[6400/15960]	[L1: 0.8248]	10.7+0.1s
[8000/15960]	[L1: 0.8177]	10.8+0.1s
[9600/15960]	[L1: 0.8148]	10.7+0.1s
[11200/15960]	[L1: 0.8143]	10.8+0.1s
[12800/15960]	[L1: 0.8132]	10.8+0.1s
[14400/15960]	[L1: 0.8230]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 38]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8464]	10.6+0.6s
[3200/15960]	[L1: 0.8226]	10.6+0.1s
[4800/15960]	[L1: 0.8139]	10.7+0.1s
[6400/15960]	[L1: 0.8243]	10.8+0.1s
[8000/15960]	[L1: 0.8206]	10.7+0.1s
[9600/15960]	[L1: 0.8197]	10.8+0.1s
[11200/15960]	[L1: 0.8219]	10.6+0.1s
[12800/15960]	[L1: 0.8185]	10.7+0.1s
[14400/15960]	[L1: 0.8208]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.74s

[Epoch 39]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7935]	11.1+0.6s
[3200/15960]	[L1: 0.7932]	11.0+0.1s
[4800/15960]	[L1: 0.7961]	10.6+0.1s
[6400/15960]	[L1: 0.8015]	10.9+0.1s
[8000/15960]	[L1: 0.8026]	10.9+0.1s
[9600/15960]	[L1: 0.8047]	10.8+0.1s
[11200/15960]	[L1: 0.7998]	10.9+0.1s
[12800/15960]	[L1: 0.8011]	10.9+0.1s
[14400/15960]	[L1: 0.8012]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 0.72s

[Epoch 40]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8273]	10.7+0.5s
[3200/15960]	[L1: 0.8074]	10.7+0.1s
[4800/15960]	[L1: 0.8085]	10.9+0.1s
[6400/15960]	[L1: 0.8153]	10.9+0.1s
[8000/15960]	[L1: 0.8050]	10.8+0.1s
[9600/15960]	[L1: 0.8016]	10.9+0.1s
[11200/15960]	[L1: 0.7967]	10.9+0.1s
[12800/15960]	[L1: 0.7920]	10.8+0.1s
[14400/15960]	[L1: 0.7868]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.69s

[Epoch 41]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8047]	10.9+0.6s
[3200/15960]	[L1: 0.8025]	10.9+0.1s
[4800/15960]	[L1: 0.7928]	10.7+0.1s
[6400/15960]	[L1: 0.8012]	10.9+0.1s
[8000/15960]	[L1: 0.7965]	10.8+0.1s
[9600/15960]	[L1: 0.7943]	10.7+0.1s
[11200/15960]	[L1: 0.7976]	10.9+0.1s
[12800/15960]	[L1: 0.7937]	10.8+0.1s
[14400/15960]	[L1: 0.7905]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.69s

[Epoch 42]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7597]	11.2+0.5s
[3200/15960]	[L1: 0.7911]	10.9+0.1s
[4800/15960]	[L1: 0.7838]	11.0+0.1s
[6400/15960]	[L1: 0.7786]	10.8+0.1s
[8000/15960]	[L1: 0.7765]	11.0+0.1s
[9600/15960]	[L1: 0.7736]	10.8+0.1s
[11200/15960]	[L1: 0.7772]	10.7+0.1s
[12800/15960]	[L1: 0.7774]	11.0+0.1s
[14400/15960]	[L1: 0.7800]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.72s

[Epoch 43]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8084]	10.2+0.5s
[3200/15960]	[L1: 0.8366]	10.2+0.1s
[4800/15960]	[L1: 0.8135]	10.1+0.1s
[6400/15960]	[L1: 0.8010]	9.8+0.1s
[8000/15960]	[L1: 0.7887]	10.2+0.1s
[9600/15960]	[L1: 0.7817]	10.4+0.1s
[11200/15960]	[L1: 0.7837]	9.7+0.1s
[12800/15960]	[L1: 0.7837]	10.5+0.1s
[14400/15960]	[L1: 0.7836]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 0.71s

[Epoch 44]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7850]	11.1+0.6s
[3200/15960]	[L1: 0.7968]	10.6+0.1s
[4800/15960]	[L1: 0.7895]	9.7+0.1s
[6400/15960]	[L1: 0.7986]	10.6+0.1s
[8000/15960]	[L1: 0.7914]	11.0+0.1s
[9600/15960]	[L1: 0.7895]	10.8+0.1s
[11200/15960]	[L1: 0.7824]	10.9+0.1s
[12800/15960]	[L1: 0.7842]	10.9+0.1s
[14400/15960]	[L1: 0.7852]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 45]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7254]	10.7+0.5s
[3200/15960]	[L1: 0.7436]	10.3+0.1s
[4800/15960]	[L1: 0.7500]	10.4+0.1s
[6400/15960]	[L1: 0.7431]	9.8+0.1s
[8000/15960]	[L1: 0.7437]	10.2+0.1s
[9600/15960]	[L1: 0.7495]	9.9+0.1s
[11200/15960]	[L1: 0.7557]	10.4+0.1s
[12800/15960]	[L1: 0.7530]	9.7+0.1s
[14400/15960]	[L1: 0.7500]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 2.01s

[Epoch 46]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7480]	10.9+0.6s
[3200/15960]	[L1: 0.7485]	10.3+0.1s
[4800/15960]	[L1: 0.7515]	10.4+0.1s
[6400/15960]	[L1: 0.7607]	9.9+0.1s
[8000/15960]	[L1: 0.7634]	9.9+0.1s
[9600/15960]	[L1: 0.7722]	9.7+0.1s
[11200/15960]	[L1: 0.7731]	10.1+0.1s
[12800/15960]	[L1: 0.7732]	9.5+0.1s
[14400/15960]	[L1: 0.7723]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.73s

[Epoch 47]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.8009]	9.9+0.5s
[3200/15960]	[L1: 0.7685]	9.7+0.1s
[4800/15960]	[L1: 0.7592]	10.9+0.1s
[6400/15960]	[L1: 0.7555]	10.9+0.1s
[8000/15960]	[L1: 0.7572]	9.7+0.1s
[9600/15960]	[L1: 0.7577]	9.9+0.1s
[11200/15960]	[L1: 0.7593]	11.1+0.1s
[12800/15960]	[L1: 0.7623]	10.5+0.1s
[14400/15960]	[L1: 0.7639]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.67s

[Epoch 48]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7930]	11.3+0.6s
[3200/15960]	[L1: 0.7741]	10.9+0.1s
[4800/15960]	[L1: 0.7607]	10.9+0.1s
[6400/15960]	[L1: 0.7511]	10.9+0.1s
[8000/15960]	[L1: 0.7477]	10.8+0.1s
[9600/15960]	[L1: 0.7449]	10.6+0.1s
[11200/15960]	[L1: 0.7474]	10.7+0.1s
[12800/15960]	[L1: 0.7465]	11.2+0.1s
[14400/15960]	[L1: 0.7485]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 49]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7535]	11.1+0.6s
[3200/15960]	[L1: 0.7504]	10.8+0.1s
[4800/15960]	[L1: 0.7458]	10.8+0.1s
[6400/15960]	[L1: 0.7492]	10.9+0.1s
[8000/15960]	[L1: 0.7501]	10.7+0.1s
[9600/15960]	[L1: 0.7541]	10.9+0.1s
[11200/15960]	[L1: 0.7559]	10.7+0.1s
[12800/15960]	[L1: 0.7552]	10.9+0.1s
[14400/15960]	[L1: 0.7593]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 50]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7431]	10.9+0.6s
[3200/15960]	[L1: 0.7256]	10.9+0.1s
[4800/15960]	[L1: 0.7243]	10.8+0.1s
[6400/15960]	[L1: 0.7319]	10.7+0.1s
[8000/15960]	[L1: 0.7439]	10.9+0.1s
[9600/15960]	[L1: 0.7485]	10.8+0.1s
[11200/15960]	[L1: 0.7434]	10.9+0.1s
[12800/15960]	[L1: 0.7479]	10.8+0.1s
[14400/15960]	[L1: 0.7464]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 0.71s

[Epoch 51]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7980]	10.9+0.5s
[3200/15960]	[L1: 0.7729]	9.5+0.1s
[4800/15960]	[L1: 0.7653]	10.9+0.1s
[6400/15960]	[L1: 0.7598]	10.9+0.1s
[8000/15960]	[L1: 0.7559]	10.8+0.1s
[9600/15960]	[L1: 0.7508]	10.9+0.1s
[11200/15960]	[L1: 0.7423]	11.0+0.1s
[12800/15960]	[L1: 0.7375]	10.8+0.1s
[14400/15960]	[L1: 0.7380]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 0.82s

[Epoch 52]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7240]	10.9+0.5s
[3200/15960]	[L1: 0.7244]	10.9+0.1s
[4800/15960]	[L1: 0.7440]	10.9+0.1s
[6400/15960]	[L1: 0.7355]	10.7+0.1s
[8000/15960]	[L1: 0.7358]	10.9+0.1s
[9600/15960]	[L1: 0.7425]	10.7+0.1s
[11200/15960]	[L1: 0.7366]	10.0+0.1s
[12800/15960]	[L1: 0.7368]	10.0+0.1s
[14400/15960]	[L1: 0.7379]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.73s

[Epoch 53]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7100]	11.2+0.6s
[3200/15960]	[L1: 0.7403]	10.9+0.1s
[4800/15960]	[L1: 0.7281]	10.9+0.1s
[6400/15960]	[L1: 0.7173]	10.9+0.1s
[8000/15960]	[L1: 0.7236]	11.0+0.1s
[9600/15960]	[L1: 0.7184]	10.9+0.1s
[11200/15960]	[L1: 0.7382]	10.9+0.1s
[12800/15960]	[L1: 0.7353]	10.8+0.1s
[14400/15960]	[L1: 0.7368]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 54]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7921]	11.0+0.6s
[3200/15960]	[L1: 0.7598]	11.0+0.1s
[4800/15960]	[L1: 0.7409]	10.7+0.1s
[6400/15960]	[L1: 0.7347]	10.9+0.1s
[8000/15960]	[L1: 0.7268]	10.8+0.1s
[9600/15960]	[L1: 0.7189]	10.9+0.1s
[11200/15960]	[L1: 0.7198]	10.8+0.1s
[12800/15960]	[L1: 0.7250]	10.8+0.1s
[14400/15960]	[L1: 0.7226]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.72s

[Epoch 55]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7451]	11.2+0.6s
[3200/15960]	[L1: 0.7279]	10.8+0.1s
[4800/15960]	[L1: 0.7120]	10.7+0.1s
[6400/15960]	[L1: 0.7068]	10.9+0.1s
[8000/15960]	[L1: 0.7046]	10.3+0.1s
[9600/15960]	[L1: 0.7134]	9.6+0.1s
[11200/15960]	[L1: 0.7145]	10.2+0.1s
[12800/15960]	[L1: 0.7133]	10.1+0.1s
[14400/15960]	[L1: 0.7137]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 56]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7359]	10.0+0.6s
[3200/15960]	[L1: 0.7120]	10.0+0.1s
[4800/15960]	[L1: 0.7111]	10.9+0.1s
[6400/15960]	[L1: 0.7283]	9.9+0.1s
[8000/15960]	[L1: 0.7350]	10.7+0.1s
[9600/15960]	[L1: 0.7307]	10.8+0.1s
[11200/15960]	[L1: 0.7323]	11.0+0.1s
[12800/15960]	[L1: 0.7287]	10.8+0.1s
[14400/15960]	[L1: 0.7224]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 57]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7225]	10.0+0.5s
[3200/15960]	[L1: 0.6998]	10.7+0.1s
[4800/15960]	[L1: 0.6986]	11.0+0.1s
[6400/15960]	[L1: 0.7115]	10.9+0.1s
[8000/15960]	[L1: 0.7160]	11.0+0.1s
[9600/15960]	[L1: 0.7088]	10.6+0.1s
[11200/15960]	[L1: 0.7069]	11.0+0.1s
[12800/15960]	[L1: 0.7101]	10.9+0.1s
[14400/15960]	[L1: 0.7166]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.68s

[Epoch 58]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7144]	11.0+0.6s
[3200/15960]	[L1: 0.6975]	9.6+0.1s
[4800/15960]	[L1: 0.6952]	10.2+0.1s
[6400/15960]	[L1: 0.7062]	10.2+0.1s
[8000/15960]	[L1: 0.7020]	10.8+0.1s
[9600/15960]	[L1: 0.7076]	9.8+0.1s
[11200/15960]	[L1: 0.7098]	9.6+0.1s
[12800/15960]	[L1: 0.7151]	10.4+0.1s
[14400/15960]	[L1: 0.7162]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.72s

[Epoch 59]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7097]	10.9+0.5s
[3200/15960]	[L1: 0.7045]	11.0+0.1s
[4800/15960]	[L1: 0.7067]	10.7+0.1s
[6400/15960]	[L1: 0.7020]	10.8+0.1s
[8000/15960]	[L1: 0.7005]	10.8+0.1s
[9600/15960]	[L1: 0.7049]	10.7+0.1s
[11200/15960]	[L1: 0.7062]	10.9+0.1s
[12800/15960]	[L1: 0.7086]	10.7+0.1s
[14400/15960]	[L1: 0.7092]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 60]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7200]	11.3+0.6s
[3200/15960]	[L1: 0.7291]	11.0+0.1s
[4800/15960]	[L1: 0.7260]	11.1+0.1s
[6400/15960]	[L1: 0.7192]	11.1+0.1s
[8000/15960]	[L1: 0.7143]	11.0+0.1s
[9600/15960]	[L1: 0.7093]	11.1+0.1s
[11200/15960]	[L1: 0.7063]	11.1+0.1s
[12800/15960]	[L1: 0.7057]	11.0+0.1s
[14400/15960]	[L1: 0.7085]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.75s

[Epoch 61]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6785]	10.1+0.5s
[3200/15960]	[L1: 0.7017]	10.2+0.1s
[4800/15960]	[L1: 0.6963]	9.5+0.1s
[6400/15960]	[L1: 0.6976]	10.4+0.1s
[8000/15960]	[L1: 0.6991]	10.7+0.1s
[9600/15960]	[L1: 0.7014]	10.7+0.1s
[11200/15960]	[L1: 0.6984]	10.8+0.1s
[12800/15960]	[L1: 0.6997]	10.7+0.1s
[14400/15960]	[L1: 0.7001]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.69s

[Epoch 62]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7276]	11.2+0.6s
[3200/15960]	[L1: 0.6976]	11.1+0.1s
[4800/15960]	[L1: 0.6995]	10.3+0.1s
[6400/15960]	[L1: 0.6931]	10.9+0.1s
[8000/15960]	[L1: 0.6919]	11.0+0.1s
[9600/15960]	[L1: 0.6878]	10.9+0.1s
[11200/15960]	[L1: 0.6888]	11.0+0.1s
[12800/15960]	[L1: 0.6896]	10.8+0.1s
[14400/15960]	[L1: 0.6932]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.68s

[Epoch 63]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7848]	10.9+0.6s
[3200/15960]	[L1: 0.7373]	11.2+0.1s
[4800/15960]	[L1: 0.7318]	11.0+0.1s
[6400/15960]	[L1: 0.7287]	10.9+0.1s
[8000/15960]	[L1: 0.7253]	11.0+0.1s
[9600/15960]	[L1: 0.7159]	11.0+0.1s
[11200/15960]	[L1: 0.7074]	10.8+0.1s
[12800/15960]	[L1: 0.6990]	10.9+0.1s
[14400/15960]	[L1: 0.6980]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.29s

Saving...
Total: 1.82s

[Epoch 64]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7266]	11.2+0.6s
[3200/15960]	[L1: 0.7123]	11.0+0.1s
[4800/15960]	[L1: 0.7314]	10.9+0.1s
[6400/15960]	[L1: 0.7172]	10.9+0.1s
[8000/15960]	[L1: 0.7148]	11.1+0.1s
[9600/15960]	[L1: 0.7119]	10.8+0.1s
[11200/15960]	[L1: 0.7121]	10.9+0.1s
[12800/15960]	[L1: 0.7089]	10.9+0.1s
[14400/15960]	[L1: 0.7065]	10.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.68s

[Epoch 65]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7160]	11.0+0.6s
[3200/15960]	[L1: 0.7432]	11.1+0.1s
[4800/15960]	[L1: 0.7219]	10.9+0.1s
[6400/15960]	[L1: 0.7049]	10.9+0.1s
[8000/15960]	[L1: 0.7006]	10.8+0.1s
[9600/15960]	[L1: 0.6912]	10.9+0.1s
[11200/15960]	[L1: 0.6859]	10.8+0.1s
[12800/15960]	[L1: 0.6839]	10.8+0.1s
[14400/15960]	[L1: 0.6828]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.81s

[Epoch 66]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.7131]	11.3+0.5s
[3200/15960]	[L1: 0.7254]	10.9+0.1s
[4800/15960]	[L1: 0.7042]	10.4+0.1s
[6400/15960]	[L1: 0.7065]	11.0+0.1s
[8000/15960]	[L1: 0.7019]	11.1+0.1s
[9600/15960]	[L1: 0.6986]	10.9+0.1s
[11200/15960]	[L1: 0.6948]	10.5+0.1s
[12800/15960]	[L1: 0.6983]	10.6+0.1s
[14400/15960]	[L1: 0.6969]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.74s

[Epoch 67]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6528]	11.0+0.5s
[3200/15960]	[L1: 0.6624]	10.9+0.1s
[4800/15960]	[L1: 0.6651]	10.8+0.1s
[6400/15960]	[L1: 0.6721]	10.8+0.1s
[8000/15960]	[L1: 0.6710]	10.8+0.1s
[9600/15960]	[L1: 0.6753]	10.7+0.1s
[11200/15960]	[L1: 0.6778]	10.8+0.1s
[12800/15960]	[L1: 0.6795]	10.7+0.1s
[14400/15960]	[L1: 0.6798]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 68]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6824]	11.2+0.7s
[3200/15960]	[L1: 0.6872]	10.8+0.1s
[4800/15960]	[L1: 0.6635]	11.0+0.1s
[6400/15960]	[L1: 0.6754]	10.9+0.1s
[8000/15960]	[L1: 0.6774]	10.9+0.1s
[9600/15960]	[L1: 0.6847]	10.9+0.1s
[11200/15960]	[L1: 0.6886]	11.0+0.1s
[12800/15960]	[L1: 0.6878]	11.0+0.1s
[14400/15960]	[L1: 0.6865]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 69]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6820]	11.1+0.6s
[3200/15960]	[L1: 0.6920]	10.8+0.1s
[4800/15960]	[L1: 0.6843]	10.0+0.1s
[6400/15960]	[L1: 0.6712]	10.8+0.1s
[8000/15960]	[L1: 0.6702]	10.8+0.1s
[9600/15960]	[L1: 0.6778]	10.9+0.1s
[11200/15960]	[L1: 0.6775]	10.8+0.1s
[12800/15960]	[L1: 0.6724]	11.1+0.1s
[14400/15960]	[L1: 0.6737]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.70s

[Epoch 70]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6859]	11.1+0.6s
[3200/15960]	[L1: 0.6516]	10.9+0.1s
[4800/15960]	[L1: 0.6530]	10.4+0.1s
[6400/15960]	[L1: 0.6545]	10.8+0.1s
[8000/15960]	[L1: 0.6637]	10.1+0.1s
[9600/15960]	[L1: 0.6714]	9.4+0.1s
[11200/15960]	[L1: 0.6742]	9.6+0.1s
[12800/15960]	[L1: 0.6770]	9.6+0.1s
[14400/15960]	[L1: 0.6777]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 71]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6440]	10.5+0.5s
[3200/15960]	[L1: 0.6547]	10.9+0.1s
[4800/15960]	[L1: 0.6607]	10.2+0.1s
[6400/15960]	[L1: 0.6669]	10.1+0.1s
[8000/15960]	[L1: 0.6628]	10.8+0.1s
[9600/15960]	[L1: 0.6628]	10.5+0.1s
[11200/15960]	[L1: 0.6631]	9.9+0.1s
[12800/15960]	[L1: 0.6629]	10.8+0.1s
[14400/15960]	[L1: 0.6637]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 72]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6745]	11.2+0.6s
[3200/15960]	[L1: 0.6604]	11.0+0.1s
[4800/15960]	[L1: 0.6891]	10.8+0.1s
[6400/15960]	[L1: 0.6914]	11.0+0.1s
[8000/15960]	[L1: 0.6906]	10.9+0.1s
[9600/15960]	[L1: 0.6885]	10.8+0.1s
[11200/15960]	[L1: 0.6820]	10.9+0.1s
[12800/15960]	[L1: 0.6771]	11.0+0.1s
[14400/15960]	[L1: 0.6854]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.73s

[Epoch 73]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6582]	9.7+0.6s
[3200/15960]	[L1: 0.6718]	9.8+0.1s
[4800/15960]	[L1: 0.6692]	10.2+0.1s
[6400/15960]	[L1: 0.6685]	9.9+0.1s
[8000/15960]	[L1: 0.6666]	9.6+0.1s
[9600/15960]	[L1: 0.6638]	10.6+0.1s
[11200/15960]	[L1: 0.6673]	9.8+0.1s
[12800/15960]	[L1: 0.6720]	10.3+0.1s
[14400/15960]	[L1: 0.6724]	9.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.74s

[Epoch 74]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6436]	11.1+0.6s
[3200/15960]	[L1: 0.6396]	10.8+0.1s
[4800/15960]	[L1: 0.6623]	10.9+0.1s
[6400/15960]	[L1: 0.6613]	10.9+0.1s
[8000/15960]	[L1: 0.6575]	10.4+0.1s
[9600/15960]	[L1: 0.6636]	10.3+0.1s
[11200/15960]	[L1: 0.6623]	10.8+0.1s
[12800/15960]	[L1: 0.6600]	11.1+0.1s
[14400/15960]	[L1: 0.6580]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.71s

[Epoch 75]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6646]	10.9+0.6s
[3200/15960]	[L1: 0.6613]	10.3+0.1s
[4800/15960]	[L1: 0.6617]	9.9+0.1s
[6400/15960]	[L1: 0.6636]	9.8+0.1s
[8000/15960]	[L1: 0.6578]	9.6+0.1s
[9600/15960]	[L1: 0.6639]	10.0+0.1s
[11200/15960]	[L1: 0.6639]	9.6+0.1s
[12800/15960]	[L1: 0.6631]	9.5+0.1s
[14400/15960]	[L1: 0.6617]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.75s

[Epoch 76]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6435]	11.0+0.5s
[3200/15960]	[L1: 0.6359]	10.9+0.1s
[4800/15960]	[L1: 0.6408]	10.3+0.1s
[6400/15960]	[L1: 0.6451]	10.3+0.1s
[8000/15960]	[L1: 0.6487]	10.9+0.1s
[9600/15960]	[L1: 0.6511]	10.8+0.1s
[11200/15960]	[L1: 0.6491]	10.4+0.1s
[12800/15960]	[L1: 0.6486]	10.5+0.1s
[14400/15960]	[L1: 0.6510]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.81s

[Epoch 77]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6744]	10.7+0.6s
[3200/15960]	[L1: 0.6659]	10.8+0.1s
[4800/15960]	[L1: 0.6703]	10.6+0.1s
[6400/15960]	[L1: 0.6687]	10.8+0.1s
[8000/15960]	[L1: 0.6690]	10.3+0.1s
[9600/15960]	[L1: 0.6778]	9.6+0.1s
[11200/15960]	[L1: 0.6715]	10.3+0.1s
[12800/15960]	[L1: 0.6724]	9.9+0.1s
[14400/15960]	[L1: 0.6675]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 78]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6589]	11.1+0.6s
[3200/15960]	[L1: 0.6666]	10.8+0.1s
[4800/15960]	[L1: 0.6583]	10.7+0.1s
[6400/15960]	[L1: 0.6517]	10.1+0.1s
[8000/15960]	[L1: 0.6481]	10.3+0.1s
[9600/15960]	[L1: 0.6493]	9.7+0.1s
[11200/15960]	[L1: 0.6463]	10.3+0.1s
[12800/15960]	[L1: 0.6460]	10.7+0.1s
[14400/15960]	[L1: 0.6470]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.79s

[Epoch 79]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6204]	11.1+0.6s
[3200/15960]	[L1: 0.6324]	10.9+0.1s
[4800/15960]	[L1: 0.6411]	10.8+0.1s
[6400/15960]	[L1: 0.6475]	10.9+0.1s
[8000/15960]	[L1: 0.6488]	10.8+0.1s
[9600/15960]	[L1: 0.6486]	10.9+0.1s
[11200/15960]	[L1: 0.6472]	10.9+0.1s
[12800/15960]	[L1: 0.6478]	10.8+0.1s
[14400/15960]	[L1: 0.6477]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 80]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6330]	11.2+0.5s
[3200/15960]	[L1: 0.6408]	11.2+0.1s
[4800/15960]	[L1: 0.6356]	11.1+0.1s
[6400/15960]	[L1: 0.6436]	11.2+0.1s
[8000/15960]	[L1: 0.6492]	11.0+0.1s
[9600/15960]	[L1: 0.6530]	10.9+0.1s
[11200/15960]	[L1: 0.6546]	11.1+0.1s
[12800/15960]	[L1: 0.6564]	11.2+0.1s
[14400/15960]	[L1: 0.6575]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.70s

[Epoch 81]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6364]	10.6+0.6s
[3200/15960]	[L1: 0.6324]	11.0+0.1s
[4800/15960]	[L1: 0.6449]	10.8+0.1s
[6400/15960]	[L1: 0.6505]	10.9+0.1s
[8000/15960]	[L1: 0.6561]	10.7+0.1s
[9600/15960]	[L1: 0.6493]	10.9+0.1s
[11200/15960]	[L1: 0.6492]	10.8+0.1s
[12800/15960]	[L1: 0.6534]	10.8+0.1s
[14400/15960]	[L1: 0.6557]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.69s

[Epoch 82]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6725]	11.2+0.6s
[3200/15960]	[L1: 0.6685]	11.1+0.1s
[4800/15960]	[L1: 0.6486]	11.0+0.1s
[6400/15960]	[L1: 0.6460]	10.9+0.1s
[8000/15960]	[L1: 0.6416]	10.8+0.1s
[9600/15960]	[L1: 0.6416]	10.8+0.1s
[11200/15960]	[L1: 0.6459]	10.2+0.1s
[12800/15960]	[L1: 0.6470]	9.8+0.1s
[14400/15960]	[L1: 0.6452]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 83]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6449]	9.9+0.6s
[3200/15960]	[L1: 0.6470]	10.1+0.1s
[4800/15960]	[L1: 0.6386]	10.1+0.1s
[6400/15960]	[L1: 0.6422]	10.1+0.1s
[8000/15960]	[L1: 0.6425]	10.1+0.1s
[9600/15960]	[L1: 0.6382]	10.9+0.1s
[11200/15960]	[L1: 0.6378]	11.0+0.1s
[12800/15960]	[L1: 0.6366]	11.0+0.1s
[14400/15960]	[L1: 0.6375]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.70s

[Epoch 84]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6349]	11.2+0.5s
[3200/15960]	[L1: 0.6737]	10.4+0.1s
[4800/15960]	[L1: 0.6594]	10.4+0.1s
[6400/15960]	[L1: 0.6588]	10.4+0.1s
[8000/15960]	[L1: 0.6553]	10.8+0.1s
[9600/15960]	[L1: 0.6548]	10.2+0.1s
[11200/15960]	[L1: 0.6505]	9.7+0.1s
[12800/15960]	[L1: 0.6465]	9.8+0.1s
[14400/15960]	[L1: 0.6480]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 85]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6295]	11.2+0.6s
[3200/15960]	[L1: 0.6517]	10.9+0.1s
[4800/15960]	[L1: 0.6508]	10.8+0.1s
[6400/15960]	[L1: 0.6420]	10.9+0.1s
[8000/15960]	[L1: 0.6385]	10.8+0.1s
[9600/15960]	[L1: 0.6351]	10.8+0.1s
[11200/15960]	[L1: 0.6372]	10.9+0.1s
[12800/15960]	[L1: 0.6362]	10.8+0.1s
[14400/15960]	[L1: 0.6418]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 86]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6307]	11.0+0.6s
[3200/15960]	[L1: 0.6421]	10.9+0.1s
[4800/15960]	[L1: 0.6284]	10.8+0.1s
[6400/15960]	[L1: 0.6279]	10.8+0.1s
[8000/15960]	[L1: 0.6264]	10.8+0.1s
[9600/15960]	[L1: 0.6264]	10.9+0.1s
[11200/15960]	[L1: 0.6235]	10.8+0.1s
[12800/15960]	[L1: 0.6295]	10.8+0.1s
[14400/15960]	[L1: 0.6284]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.68s

[Epoch 87]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6711]	11.1+0.6s
[3200/15960]	[L1: 0.6667]	11.0+0.1s
[4800/15960]	[L1: 0.6572]	11.0+0.1s
[6400/15960]	[L1: 0.6520]	11.1+0.1s
[8000/15960]	[L1: 0.6414]	10.9+0.1s
[9600/15960]	[L1: 0.6464]	11.0+0.1s
[11200/15960]	[L1: 0.6416]	11.0+0.1s
[12800/15960]	[L1: 0.6407]	11.1+0.1s
[14400/15960]	[L1: 0.6359]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 88]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6316]	11.0+0.5s
[3200/15960]	[L1: 0.6210]	10.9+0.1s
[4800/15960]	[L1: 0.6316]	11.1+0.1s
[6400/15960]	[L1: 0.6380]	11.1+0.1s
[8000/15960]	[L1: 0.6364]	11.0+0.1s
[9600/15960]	[L1: 0.6603]	11.0+0.1s
[11200/15960]	[L1: 0.6606]	10.9+0.1s
[12800/15960]	[L1: 0.6560]	10.8+0.1s
[14400/15960]	[L1: 0.6513]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.70s

[Epoch 89]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6126]	10.9+0.5s
[3200/15960]	[L1: 0.6104]	10.7+0.1s
[4800/15960]	[L1: 0.6095]	10.7+0.1s
[6400/15960]	[L1: 0.6124]	11.0+0.1s
[8000/15960]	[L1: 0.6226]	10.8+0.1s
[9600/15960]	[L1: 0.6201]	10.9+0.1s
[11200/15960]	[L1: 0.6285]	10.8+0.1s
[12800/15960]	[L1: 0.6273]	10.9+0.1s
[14400/15960]	[L1: 0.6328]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 90]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6101]	10.1+0.5s
[3200/15960]	[L1: 0.6127]	10.6+0.1s
[4800/15960]	[L1: 0.6265]	10.9+0.1s
[6400/15960]	[L1: 0.6354]	10.9+0.1s
[8000/15960]	[L1: 0.6324]	10.8+0.1s
[9600/15960]	[L1: 0.6356]	10.9+0.1s
[11200/15960]	[L1: 0.6357]	10.9+0.1s
[12800/15960]	[L1: 0.6325]	10.8+0.1s
[14400/15960]	[L1: 0.6319]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.86s

[Epoch 91]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6518]	11.0+0.5s
[3200/15960]	[L1: 0.6391]	10.9+0.1s
[4800/15960]	[L1: 0.6272]	10.9+0.1s
[6400/15960]	[L1: 0.6268]	10.9+0.1s
[8000/15960]	[L1: 0.6291]	11.1+0.1s
[9600/15960]	[L1: 0.6370]	11.0+0.1s
[11200/15960]	[L1: 0.6336]	11.0+0.1s
[12800/15960]	[L1: 0.6293]	11.0+0.1s
[14400/15960]	[L1: 0.6291]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.76s

[Epoch 92]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6017]	11.0+0.5s
[3200/15960]	[L1: 0.6016]	10.9+0.1s
[4800/15960]	[L1: 0.5979]	10.8+0.1s
[6400/15960]	[L1: 0.5997]	11.1+0.1s
[8000/15960]	[L1: 0.6086]	11.0+0.1s
[9600/15960]	[L1: 0.6140]	11.2+0.1s
[11200/15960]	[L1: 0.6133]	11.0+0.1s
[12800/15960]	[L1: 0.6193]	11.1+0.1s
[14400/15960]	[L1: 0.6180]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.71s

[Epoch 93]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6566]	11.1+0.6s
[3200/15960]	[L1: 0.6352]	11.1+0.1s
[4800/15960]	[L1: 0.6195]	10.9+0.1s
[6400/15960]	[L1: 0.6182]	10.8+0.1s
[8000/15960]	[L1: 0.6218]	11.1+0.1s
[9600/15960]	[L1: 0.6261]	10.9+0.1s
[11200/15960]	[L1: 0.6227]	11.0+0.1s
[12800/15960]	[L1: 0.6198]	10.8+0.1s
[14400/15960]	[L1: 0.6248]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.67s

[Epoch 94]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6640]	11.1+0.5s
[3200/15960]	[L1: 0.6544]	10.8+0.1s
[4800/15960]	[L1: 0.6477]	10.0+0.1s
[6400/15960]	[L1: 0.6401]	9.5+0.1s
[8000/15960]	[L1: 0.6395]	10.4+0.1s
[9600/15960]	[L1: 0.6414]	10.3+0.1s
[11200/15960]	[L1: 0.6401]	10.1+0.1s
[12800/15960]	[L1: 0.6375]	10.7+0.1s
[14400/15960]	[L1: 0.6350]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 95]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6115]	11.1+0.5s
[3200/15960]	[L1: 0.6385]	10.8+0.1s
[4800/15960]	[L1: 0.6404]	10.9+0.1s
[6400/15960]	[L1: 0.6313]	10.7+0.1s
[8000/15960]	[L1: 0.6238]	10.9+0.1s
[9600/15960]	[L1: 0.6232]	10.8+0.1s
[11200/15960]	[L1: 0.6235]	10.8+0.1s
[12800/15960]	[L1: 0.6207]	10.9+0.1s
[14400/15960]	[L1: 0.6170]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 96]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6340]	10.9+0.5s
[3200/15960]	[L1: 0.6283]	10.9+0.1s
[4800/15960]	[L1: 0.6259]	10.8+0.1s
[6400/15960]	[L1: 0.6235]	10.9+0.1s
[8000/15960]	[L1: 0.6234]	9.6+0.1s
[9600/15960]	[L1: 0.6275]	9.5+0.1s
[11200/15960]	[L1: 0.6282]	9.8+0.1s
[12800/15960]	[L1: 0.6265]	9.9+0.1s
[14400/15960]	[L1: 0.6228]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.73s

[Epoch 97]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6037]	11.3+0.5s
[3200/15960]	[L1: 0.6267]	10.9+0.1s
[4800/15960]	[L1: 0.6267]	10.8+0.1s
[6400/15960]	[L1: 0.6256]	10.7+0.1s
[8000/15960]	[L1: 0.6236]	10.9+0.1s
[9600/15960]	[L1: 0.6200]	10.7+0.1s
[11200/15960]	[L1: 0.6187]	10.8+0.1s
[12800/15960]	[L1: 0.6226]	10.7+0.1s
[14400/15960]	[L1: 0.6284]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.69s

[Epoch 98]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6446]	11.1+0.6s
[3200/15960]	[L1: 0.6287]	11.1+0.1s
[4800/15960]	[L1: 0.6251]	11.3+0.1s
[6400/15960]	[L1: 0.6114]	11.3+0.1s
[8000/15960]	[L1: 0.6129]	11.5+0.1s
[9600/15960]	[L1: 0.6117]	11.5+0.1s
[11200/15960]	[L1: 0.6146]	11.0+0.1s
[12800/15960]	[L1: 0.6174]	11.1+0.1s
[14400/15960]	[L1: 0.6175]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 99]	Learning rate: 1.00e-4
[1600/15960]	[L1: 0.6206]	11.5+0.5s
[3200/15960]	[L1: 0.6240]	11.5+0.1s
[4800/15960]	[L1: 0.6076]	11.3+0.1s
[6400/15960]	[L1: 0.6165]	11.0+0.1s
[8000/15960]	[L1: 0.6113]	11.0+0.1s
[9600/15960]	[L1: 0.6121]	11.1+0.1s
[11200/15960]	[L1: 0.6123]	11.0+0.1s
[12800/15960]	[L1: 0.6124]	10.9+0.1s
[14400/15960]	[L1: 0.6119]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 100]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5478]	10.9+0.6s
[3200/15960]	[L1: 0.5429]	10.8+0.1s
[4800/15960]	[L1: 0.5431]	10.7+0.1s
[6400/15960]	[L1: 0.5404]	10.9+0.1s
[8000/15960]	[L1: 0.5423]	10.7+0.1s
[9600/15960]	[L1: 0.5435]	10.8+0.1s
[11200/15960]	[L1: 0.5442]	10.8+0.1s
[12800/15960]	[L1: 0.5421]	10.9+0.1s
[14400/15960]	[L1: 0.5403]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 101]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5321]	11.3+0.5s
[3200/15960]	[L1: 0.5394]	11.2+0.1s
[4800/15960]	[L1: 0.5432]	11.2+0.1s
[6400/15960]	[L1: 0.5419]	10.6+0.1s
[8000/15960]	[L1: 0.5448]	11.0+0.1s
[9600/15960]	[L1: 0.5440]	11.1+0.1s
[11200/15960]	[L1: 0.5437]	10.5+0.1s
[12800/15960]	[L1: 0.5442]	10.7+0.1s
[14400/15960]	[L1: 0.5435]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.69s

[Epoch 102]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5566]	11.0+0.5s
[3200/15960]	[L1: 0.5492]	10.7+0.1s
[4800/15960]	[L1: 0.5435]	10.0+0.1s
[6400/15960]	[L1: 0.5467]	10.8+0.1s
[8000/15960]	[L1: 0.5458]	10.8+0.1s
[9600/15960]	[L1: 0.5461]	10.8+0.1s
[11200/15960]	[L1: 0.5455]	11.1+0.1s
[12800/15960]	[L1: 0.5453]	11.0+0.1s
[14400/15960]	[L1: 0.5448]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 103]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5367]	11.0+0.6s
[3200/15960]	[L1: 0.5425]	10.8+0.1s
[4800/15960]	[L1: 0.5409]	10.9+0.1s
[6400/15960]	[L1: 0.5410]	10.9+0.1s
[8000/15960]	[L1: 0.5397]	10.8+0.1s
[9600/15960]	[L1: 0.5376]	10.9+0.1s
[11200/15960]	[L1: 0.5369]	11.0+0.1s
[12800/15960]	[L1: 0.5367]	10.8+0.1s
[14400/15960]	[L1: 0.5385]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.87s

[Epoch 104]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5369]	11.1+0.6s
[3200/15960]	[L1: 0.5559]	10.7+0.1s
[4800/15960]	[L1: 0.5533]	10.5+0.1s
[6400/15960]	[L1: 0.5543]	10.8+0.1s
[8000/15960]	[L1: 0.5514]	10.9+0.1s
[9600/15960]	[L1: 0.5488]	10.8+0.1s
[11200/15960]	[L1: 0.5485]	10.9+0.1s
[12800/15960]	[L1: 0.5458]	10.8+0.1s
[14400/15960]	[L1: 0.5452]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.88s

[Epoch 105]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5335]	11.1+0.5s
[3200/15960]	[L1: 0.5261]	10.8+0.1s
[4800/15960]	[L1: 0.5300]	10.9+0.1s
[6400/15960]	[L1: 0.5294]	11.1+0.1s
[8000/15960]	[L1: 0.5310]	10.9+0.1s
[9600/15960]	[L1: 0.5345]	11.0+0.1s
[11200/15960]	[L1: 0.5361]	11.0+0.1s
[12800/15960]	[L1: 0.5375]	11.3+0.1s
[14400/15960]	[L1: 0.5366]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.69s

[Epoch 106]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5321]	11.2+0.6s
[3200/15960]	[L1: 0.5345]	10.3+0.1s
[4800/15960]	[L1: 0.5423]	9.7+0.1s
[6400/15960]	[L1: 0.5387]	9.7+0.1s
[8000/15960]	[L1: 0.5398]	10.2+0.1s
[9600/15960]	[L1: 0.5380]	10.4+0.1s
[11200/15960]	[L1: 0.5389]	10.9+0.1s
[12800/15960]	[L1: 0.5384]	9.9+0.1s
[14400/15960]	[L1: 0.5368]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 107]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5249]	10.3+0.6s
[3200/15960]	[L1: 0.5231]	9.9+0.1s
[4800/15960]	[L1: 0.5266]	9.5+0.1s
[6400/15960]	[L1: 0.5248]	9.7+0.1s
[8000/15960]	[L1: 0.5256]	9.5+0.1s
[9600/15960]	[L1: 0.5306]	9.7+0.1s
[11200/15960]	[L1: 0.5320]	9.5+0.1s
[12800/15960]	[L1: 0.5305]	10.7+0.1s
[14400/15960]	[L1: 0.5322]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 108]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5355]	11.3+0.6s
[3200/15960]	[L1: 0.5457]	11.0+0.1s
[4800/15960]	[L1: 0.5423]	11.0+0.1s
[6400/15960]	[L1: 0.5418]	11.0+0.1s
[8000/15960]	[L1: 0.5413]	11.1+0.1s
[9600/15960]	[L1: 0.5396]	11.0+0.1s
[11200/15960]	[L1: 0.5412]	11.0+0.1s
[12800/15960]	[L1: 0.5387]	11.0+0.1s
[14400/15960]	[L1: 0.5372]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.87s

[Epoch 109]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5288]	11.1+0.6s
[3200/15960]	[L1: 0.5317]	11.0+0.1s
[4800/15960]	[L1: 0.5297]	10.9+0.1s
[6400/15960]	[L1: 0.5331]	10.8+0.1s
[8000/15960]	[L1: 0.5325]	10.9+0.1s
[9600/15960]	[L1: 0.5325]	10.9+0.1s
[11200/15960]	[L1: 0.5375]	10.8+0.1s
[12800/15960]	[L1: 0.5381]	10.9+0.1s
[14400/15960]	[L1: 0.5414]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 110]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5412]	10.1+0.6s
[3200/15960]	[L1: 0.5438]	10.7+0.1s
[4800/15960]	[L1: 0.5388]	10.6+0.1s
[6400/15960]	[L1: 0.5340]	10.6+0.1s
[8000/15960]	[L1: 0.5357]	10.6+0.1s
[9600/15960]	[L1: 0.5326]	10.8+0.1s
[11200/15960]	[L1: 0.5297]	10.6+0.1s
[12800/15960]	[L1: 0.5291]	10.7+0.1s
[14400/15960]	[L1: 0.5295]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.76s

[Epoch 111]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5345]	10.0+0.6s
[3200/15960]	[L1: 0.5350]	10.7+0.1s
[4800/15960]	[L1: 0.5387]	10.6+0.1s
[6400/15960]	[L1: 0.5376]	10.4+0.1s
[8000/15960]	[L1: 0.5379]	10.0+0.1s
[9600/15960]	[L1: 0.5383]	9.6+0.1s
[11200/15960]	[L1: 0.5378]	9.6+0.1s
[12800/15960]	[L1: 0.5368]	9.7+0.1s
[14400/15960]	[L1: 0.5367]	9.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.70s

[Epoch 112]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5303]	10.3+0.5s
[3200/15960]	[L1: 0.5287]	9.9+0.1s
[4800/15960]	[L1: 0.5222]	10.8+0.1s
[6400/15960]	[L1: 0.5202]	10.9+0.1s
[8000/15960]	[L1: 0.5215]	10.2+0.1s
[9600/15960]	[L1: 0.5236]	10.0+0.1s
[11200/15960]	[L1: 0.5247]	9.5+0.1s
[12800/15960]	[L1: 0.5239]	10.1+0.1s
[14400/15960]	[L1: 0.5255]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.76s

[Epoch 113]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5275]	9.7+0.6s
[3200/15960]	[L1: 0.5295]	10.3+0.1s
[4800/15960]	[L1: 0.5245]	10.9+0.1s
[6400/15960]	[L1: 0.5282]	10.1+0.1s
[8000/15960]	[L1: 0.5287]	10.2+0.1s
[9600/15960]	[L1: 0.5294]	9.7+0.1s
[11200/15960]	[L1: 0.5291]	10.6+0.1s
[12800/15960]	[L1: 0.5261]	9.5+0.1s
[14400/15960]	[L1: 0.5268]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.73s

[Epoch 114]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5359]	11.1+0.5s
[3200/15960]	[L1: 0.5319]	11.0+0.1s
[4800/15960]	[L1: 0.5278]	11.0+0.1s
[6400/15960]	[L1: 0.5288]	10.9+0.1s
[8000/15960]	[L1: 0.5325]	10.8+0.1s
[9600/15960]	[L1: 0.5316]	10.9+0.1s
[11200/15960]	[L1: 0.5315]	10.9+0.1s
[12800/15960]	[L1: 0.5287]	10.8+0.1s
[14400/15960]	[L1: 0.5294]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.87s

[Epoch 115]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5174]	11.1+0.6s
[3200/15960]	[L1: 0.5300]	10.9+0.1s
[4800/15960]	[L1: 0.5298]	11.0+0.1s
[6400/15960]	[L1: 0.5284]	10.9+0.1s
[8000/15960]	[L1: 0.5264]	10.7+0.1s
[9600/15960]	[L1: 0.5261]	10.8+0.1s
[11200/15960]	[L1: 0.5268]	10.9+0.1s
[12800/15960]	[L1: 0.5267]	10.3+0.1s
[14400/15960]	[L1: 0.5283]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 116]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5377]	10.9+0.5s
[3200/15960]	[L1: 0.5293]	10.1+0.1s
[4800/15960]	[L1: 0.5243]	10.3+0.1s
[6400/15960]	[L1: 0.5230]	10.7+0.1s
[8000/15960]	[L1: 0.5276]	10.1+0.1s
[9600/15960]	[L1: 0.5248]	10.5+0.1s
[11200/15960]	[L1: 0.5250]	10.3+0.1s
[12800/15960]	[L1: 0.5260]	10.9+0.1s
[14400/15960]	[L1: 0.5262]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 117]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5121]	10.2+0.5s
[3200/15960]	[L1: 0.5263]	9.7+0.1s
[4800/15960]	[L1: 0.5204]	10.7+0.1s
[6400/15960]	[L1: 0.5184]	9.9+0.1s
[8000/15960]	[L1: 0.5210]	10.0+0.1s
[9600/15960]	[L1: 0.5172]	9.8+0.1s
[11200/15960]	[L1: 0.5184]	10.1+0.1s
[12800/15960]	[L1: 0.5195]	10.5+0.1s
[14400/15960]	[L1: 0.5207]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 118]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5319]	11.2+0.5s
[3200/15960]	[L1: 0.5336]	11.1+0.1s
[4800/15960]	[L1: 0.5301]	10.5+0.1s
[6400/15960]	[L1: 0.5278]	9.7+0.1s
[8000/15960]	[L1: 0.5282]	10.2+0.1s
[9600/15960]	[L1: 0.5277]	11.1+0.1s
[11200/15960]	[L1: 0.5276]	10.9+0.1s
[12800/15960]	[L1: 0.5260]	10.9+0.1s
[14400/15960]	[L1: 0.5262]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.92s

[Epoch 119]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5276]	11.3+0.5s
[3200/15960]	[L1: 0.5378]	11.1+0.1s
[4800/15960]	[L1: 0.5295]	10.7+0.1s
[6400/15960]	[L1: 0.5278]	10.4+0.1s
[8000/15960]	[L1: 0.5251]	11.2+0.1s
[9600/15960]	[L1: 0.5250]	11.0+0.1s
[11200/15960]	[L1: 0.5263]	11.2+0.1s
[12800/15960]	[L1: 0.5236]	11.0+0.1s
[14400/15960]	[L1: 0.5242]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.75s

[Epoch 120]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5126]	11.0+0.5s
[3200/15960]	[L1: 0.5157]	10.7+0.1s
[4800/15960]	[L1: 0.5131]	10.9+0.1s
[6400/15960]	[L1: 0.5148]	10.3+0.1s
[8000/15960]	[L1: 0.5173]	9.9+0.1s
[9600/15960]	[L1: 0.5183]	10.9+0.1s
[11200/15960]	[L1: 0.5208]	11.0+0.1s
[12800/15960]	[L1: 0.5216]	10.6+0.1s
[14400/15960]	[L1: 0.5207]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 121]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5296]	11.3+0.6s
[3200/15960]	[L1: 0.5290]	11.2+0.1s
[4800/15960]	[L1: 0.5312]	11.0+0.1s
[6400/15960]	[L1: 0.5306]	11.1+0.1s
[8000/15960]	[L1: 0.5309]	11.0+0.1s
[9600/15960]	[L1: 0.5270]	10.9+0.1s
[11200/15960]	[L1: 0.5249]	10.9+0.1s
[12800/15960]	[L1: 0.5226]	10.8+0.1s
[14400/15960]	[L1: 0.5247]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 122]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5183]	11.1+0.5s
[3200/15960]	[L1: 0.5191]	10.5+0.1s
[4800/15960]	[L1: 0.5230]	10.8+0.1s
[6400/15960]	[L1: 0.5218]	10.9+0.1s
[8000/15960]	[L1: 0.5222]	11.1+0.1s
[9600/15960]	[L1: 0.5229]	10.2+0.1s
[11200/15960]	[L1: 0.5245]	10.0+0.1s
[12800/15960]	[L1: 0.5207]	9.8+0.1s
[14400/15960]	[L1: 0.5223]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.76s

[Epoch 123]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5385]	11.2+0.6s
[3200/15960]	[L1: 0.5305]	10.8+0.1s
[4800/15960]	[L1: 0.5322]	11.0+0.1s
[6400/15960]	[L1: 0.5286]	11.0+0.1s
[8000/15960]	[L1: 0.5241]	10.8+0.1s
[9600/15960]	[L1: 0.5217]	10.6+0.1s
[11200/15960]	[L1: 0.5195]	10.6+0.1s
[12800/15960]	[L1: 0.5205]	10.0+0.1s
[14400/15960]	[L1: 0.5211]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.76s

[Epoch 124]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5289]	10.8+0.5s
[3200/15960]	[L1: 0.5212]	10.5+0.1s
[4800/15960]	[L1: 0.5157]	10.3+0.1s
[6400/15960]	[L1: 0.5126]	10.8+0.1s
[8000/15960]	[L1: 0.5135]	11.0+0.1s
[9600/15960]	[L1: 0.5165]	10.8+0.1s
[11200/15960]	[L1: 0.5159]	10.4+0.1s
[12800/15960]	[L1: 0.5168]	10.4+0.1s
[14400/15960]	[L1: 0.5186]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 125]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4989]	11.3+0.6s
[3200/15960]	[L1: 0.5120]	11.0+0.1s
[4800/15960]	[L1: 0.5146]	11.1+0.1s
[6400/15960]	[L1: 0.5169]	11.1+0.1s
[8000/15960]	[L1: 0.5205]	11.0+0.1s
[9600/15960]	[L1: 0.5246]	11.1+0.1s
[11200/15960]	[L1: 0.5235]	11.1+0.1s
[12800/15960]	[L1: 0.5249]	10.9+0.1s
[14400/15960]	[L1: 0.5233]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.69s

[Epoch 126]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4988]	11.2+0.5s
[3200/15960]	[L1: 0.5152]	10.9+0.1s
[4800/15960]	[L1: 0.5135]	11.1+0.1s
[6400/15960]	[L1: 0.5177]	11.0+0.1s
[8000/15960]	[L1: 0.5185]	11.1+0.1s
[9600/15960]	[L1: 0.5189]	11.0+0.1s
[11200/15960]	[L1: 0.5187]	9.9+0.1s
[12800/15960]	[L1: 0.5186]	9.9+0.1s
[14400/15960]	[L1: 0.5169]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.75s

[Epoch 127]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5490]	11.1+0.5s
[3200/15960]	[L1: 0.5308]	10.8+0.1s
[4800/15960]	[L1: 0.5308]	10.8+0.1s
[6400/15960]	[L1: 0.5290]	10.9+0.1s
[8000/15960]	[L1: 0.5256]	10.6+0.1s
[9600/15960]	[L1: 0.5240]	10.9+0.1s
[11200/15960]	[L1: 0.5240]	10.8+0.1s
[12800/15960]	[L1: 0.5232]	10.9+0.1s
[14400/15960]	[L1: 0.5237]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.85s

[Epoch 128]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5256]	11.2+0.6s
[3200/15960]	[L1: 0.5197]	11.0+0.1s
[4800/15960]	[L1: 0.5168]	9.8+0.1s
[6400/15960]	[L1: 0.5150]	9.5+0.1s
[8000/15960]	[L1: 0.5117]	9.8+0.1s
[9600/15960]	[L1: 0.5119]	10.0+0.1s
[11200/15960]	[L1: 0.5112]	10.6+0.1s
[12800/15960]	[L1: 0.5124]	10.8+0.1s
[14400/15960]	[L1: 0.5116]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.69s

[Epoch 129]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5270]	10.8+0.5s
[3200/15960]	[L1: 0.5228]	11.0+0.1s
[4800/15960]	[L1: 0.5229]	11.1+0.1s
[6400/15960]	[L1: 0.5226]	10.3+0.1s
[8000/15960]	[L1: 0.5227]	10.2+0.1s
[9600/15960]	[L1: 0.5249]	10.5+0.1s
[11200/15960]	[L1: 0.5245]	10.6+0.1s
[12800/15960]	[L1: 0.5212]	10.7+0.1s
[14400/15960]	[L1: 0.5212]	10.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 130]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5068]	10.9+0.6s
[3200/15960]	[L1: 0.5194]	11.0+0.1s
[4800/15960]	[L1: 0.5154]	10.9+0.1s
[6400/15960]	[L1: 0.5098]	10.8+0.1s
[8000/15960]	[L1: 0.5076]	11.0+0.1s
[9600/15960]	[L1: 0.5094]	10.8+0.1s
[11200/15960]	[L1: 0.5109]	10.7+0.1s
[12800/15960]	[L1: 0.5115]	10.8+0.1s
[14400/15960]	[L1: 0.5115]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.30s

Saving...
Total: 1.72s

[Epoch 131]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5046]	10.3+0.6s
[3200/15960]	[L1: 0.5201]	10.9+0.1s
[4800/15960]	[L1: 0.5202]	10.8+0.1s
[6400/15960]	[L1: 0.5278]	10.9+0.1s
[8000/15960]	[L1: 0.5270]	10.7+0.1s
[9600/15960]	[L1: 0.5245]	9.7+0.1s
[11200/15960]	[L1: 0.5233]	9.6+0.1s
[12800/15960]	[L1: 0.5232]	9.5+0.1s
[14400/15960]	[L1: 0.5200]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.69s

[Epoch 132]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5118]	10.3+0.5s
[3200/15960]	[L1: 0.5205]	10.2+0.1s
[4800/15960]	[L1: 0.5192]	10.3+0.1s
[6400/15960]	[L1: 0.5181]	10.3+0.1s
[8000/15960]	[L1: 0.5150]	10.1+0.1s
[9600/15960]	[L1: 0.5138]	10.0+0.1s
[11200/15960]	[L1: 0.5171]	10.2+0.1s
[12800/15960]	[L1: 0.5188]	10.3+0.1s
[14400/15960]	[L1: 0.5196]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 133]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5051]	11.4+0.6s
[3200/15960]	[L1: 0.5080]	11.0+0.1s
[4800/15960]	[L1: 0.5117]	11.1+0.1s
[6400/15960]	[L1: 0.5174]	10.7+0.1s
[8000/15960]	[L1: 0.5171]	10.9+0.1s
[9600/15960]	[L1: 0.5180]	10.9+0.1s
[11200/15960]	[L1: 0.5164]	10.8+0.1s
[12800/15960]	[L1: 0.5177]	10.9+0.1s
[14400/15960]	[L1: 0.5175]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.76s

[Epoch 134]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5063]	11.3+0.6s
[3200/15960]	[L1: 0.5048]	11.0+0.1s
[4800/15960]	[L1: 0.5088]	11.0+0.1s
[6400/15960]	[L1: 0.5106]	11.0+0.1s
[8000/15960]	[L1: 0.5082]	11.1+0.1s
[9600/15960]	[L1: 0.5069]	10.9+0.1s
[11200/15960]	[L1: 0.5085]	10.8+0.1s
[12800/15960]	[L1: 0.5061]	11.2+0.1s
[14400/15960]	[L1: 0.5082]	11.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 135]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5339]	11.0+0.5s
[3200/15960]	[L1: 0.5202]	11.0+0.1s
[4800/15960]	[L1: 0.5193]	10.5+0.1s
[6400/15960]	[L1: 0.5206]	10.7+0.1s
[8000/15960]	[L1: 0.5205]	11.0+0.1s
[9600/15960]	[L1: 0.5194]	11.0+0.1s
[11200/15960]	[L1: 0.5164]	11.1+0.1s
[12800/15960]	[L1: 0.5144]	11.0+0.1s
[14400/15960]	[L1: 0.5148]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.74s

[Epoch 136]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5009]	10.5+0.6s
[3200/15960]	[L1: 0.5074]	11.1+0.1s
[4800/15960]	[L1: 0.5056]	10.7+0.1s
[6400/15960]	[L1: 0.5133]	11.0+0.1s
[8000/15960]	[L1: 0.5156]	11.1+0.1s
[9600/15960]	[L1: 0.5130]	11.0+0.1s
[11200/15960]	[L1: 0.5132]	11.2+0.1s
[12800/15960]	[L1: 0.5138]	11.0+0.1s
[14400/15960]	[L1: 0.5117]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 137]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5160]	11.0+0.6s
[3200/15960]	[L1: 0.5079]	11.0+0.1s
[4800/15960]	[L1: 0.5115]	10.8+0.1s
[6400/15960]	[L1: 0.5144]	11.0+0.1s
[8000/15960]	[L1: 0.5154]	10.8+0.1s
[9600/15960]	[L1: 0.5146]	10.8+0.1s
[11200/15960]	[L1: 0.5136]	10.9+0.1s
[12800/15960]	[L1: 0.5130]	10.8+0.1s
[14400/15960]	[L1: 0.5120]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 138]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5298]	11.3+0.6s
[3200/15960]	[L1: 0.5150]	11.1+0.1s
[4800/15960]	[L1: 0.5102]	11.0+0.1s
[6400/15960]	[L1: 0.5135]	11.1+0.1s
[8000/15960]	[L1: 0.5117]	10.9+0.1s
[9600/15960]	[L1: 0.5141]	11.1+0.1s
[11200/15960]	[L1: 0.5148]	11.1+0.1s
[12800/15960]	[L1: 0.5121]	10.9+0.1s
[14400/15960]	[L1: 0.5113]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 139]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5272]	10.9+0.5s
[3200/15960]	[L1: 0.5157]	10.9+0.1s
[4800/15960]	[L1: 0.5087]	10.8+0.1s
[6400/15960]	[L1: 0.5095]	10.8+0.1s
[8000/15960]	[L1: 0.5091]	10.7+0.1s
[9600/15960]	[L1: 0.5071]	10.4+0.1s
[11200/15960]	[L1: 0.5065]	10.8+0.1s
[12800/15960]	[L1: 0.5086]	10.7+0.1s
[14400/15960]	[L1: 0.5069]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 140]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5373]	11.0+0.6s
[3200/15960]	[L1: 0.5365]	10.9+0.1s
[4800/15960]	[L1: 0.5367]	10.8+0.1s
[6400/15960]	[L1: 0.5248]	10.8+0.1s
[8000/15960]	[L1: 0.5213]	10.7+0.1s
[9600/15960]	[L1: 0.5179]	10.8+0.1s
[11200/15960]	[L1: 0.5179]	10.9+0.1s
[12800/15960]	[L1: 0.5155]	10.7+0.1s
[14400/15960]	[L1: 0.5144]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 141]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5132]	11.0+0.6s
[3200/15960]	[L1: 0.5032]	11.0+0.1s
[4800/15960]	[L1: 0.5076]	10.8+0.1s
[6400/15960]	[L1: 0.5089]	10.9+0.1s
[8000/15960]	[L1: 0.5112]	10.7+0.1s
[9600/15960]	[L1: 0.5119]	10.8+0.1s
[11200/15960]	[L1: 0.5098]	10.9+0.1s
[12800/15960]	[L1: 0.5110]	10.8+0.1s
[14400/15960]	[L1: 0.5106]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.75s

[Epoch 142]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5054]	11.4+0.6s
[3200/15960]	[L1: 0.5048]	11.3+0.1s
[4800/15960]	[L1: 0.5153]	11.1+0.1s
[6400/15960]	[L1: 0.5123]	11.1+0.1s
[8000/15960]	[L1: 0.5115]	11.0+0.1s
[9600/15960]	[L1: 0.5114]	11.1+0.1s
[11200/15960]	[L1: 0.5132]	11.1+0.1s
[12800/15960]	[L1: 0.5115]	11.0+0.1s
[14400/15960]	[L1: 0.5127]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.76s

[Epoch 143]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5081]	11.2+0.5s
[3200/15960]	[L1: 0.5035]	11.1+0.1s
[4800/15960]	[L1: 0.5041]	10.1+0.1s
[6400/15960]	[L1: 0.5065]	10.9+0.1s
[8000/15960]	[L1: 0.5064]	10.0+0.1s
[9600/15960]	[L1: 0.5056]	10.0+0.1s
[11200/15960]	[L1: 0.5048]	10.1+0.1s
[12800/15960]	[L1: 0.5045]	9.9+0.1s
[14400/15960]	[L1: 0.5014]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 144]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5143]	11.3+0.6s
[3200/15960]	[L1: 0.5185]	11.1+0.1s
[4800/15960]	[L1: 0.5144]	11.0+0.1s
[6400/15960]	[L1: 0.5104]	11.2+0.1s
[8000/15960]	[L1: 0.5086]	11.1+0.1s
[9600/15960]	[L1: 0.5069]	10.1+0.1s
[11200/15960]	[L1: 0.5051]	10.6+0.1s
[12800/15960]	[L1: 0.5076]	10.7+0.1s
[14400/15960]	[L1: 0.5107]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.76s

[Epoch 145]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4996]	11.0+0.5s
[3200/15960]	[L1: 0.5025]	10.8+0.1s
[4800/15960]	[L1: 0.5111]	10.6+0.1s
[6400/15960]	[L1: 0.5177]	10.6+0.1s
[8000/15960]	[L1: 0.5145]	10.5+0.1s
[9600/15960]	[L1: 0.5145]	10.5+0.1s
[11200/15960]	[L1: 0.5120]	10.6+0.1s
[12800/15960]	[L1: 0.5105]	10.3+0.1s
[14400/15960]	[L1: 0.5097]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 146]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5107]	11.0+0.6s
[3200/15960]	[L1: 0.5102]	10.8+0.1s
[4800/15960]	[L1: 0.5069]	10.6+0.1s
[6400/15960]	[L1: 0.5097]	10.8+0.1s
[8000/15960]	[L1: 0.5108]	10.6+0.1s
[9600/15960]	[L1: 0.5120]	10.8+0.1s
[11200/15960]	[L1: 0.5127]	10.8+0.1s
[12800/15960]	[L1: 0.5109]	10.6+0.1s
[14400/15960]	[L1: 0.5114]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 147]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5001]	10.9+0.6s
[3200/15960]	[L1: 0.5026]	10.9+0.1s
[4800/15960]	[L1: 0.5039]	10.7+0.1s
[6400/15960]	[L1: 0.5091]	10.7+0.1s
[8000/15960]	[L1: 0.5055]	10.9+0.1s
[9600/15960]	[L1: 0.5042]	10.8+0.1s
[11200/15960]	[L1: 0.5040]	10.9+0.1s
[12800/15960]	[L1: 0.5033]	10.7+0.1s
[14400/15960]	[L1: 0.5033]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 148]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5122]	11.2+0.6s
[3200/15960]	[L1: 0.5015]	10.8+0.1s
[4800/15960]	[L1: 0.5065]	11.0+0.1s
[6400/15960]	[L1: 0.5060]	10.8+0.1s
[8000/15960]	[L1: 0.5070]	10.9+0.1s
[9600/15960]	[L1: 0.5077]	11.0+0.1s
[11200/15960]	[L1: 0.5047]	10.5+0.1s
[12800/15960]	[L1: 0.5050]	11.0+0.1s
[14400/15960]	[L1: 0.5057]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 149]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5068]	11.0+0.6s
[3200/15960]	[L1: 0.5053]	10.7+0.1s
[4800/15960]	[L1: 0.5118]	10.8+0.1s
[6400/15960]	[L1: 0.5032]	10.9+0.1s
[8000/15960]	[L1: 0.5050]	10.8+0.1s
[9600/15960]	[L1: 0.5067]	10.8+0.1s
[11200/15960]	[L1: 0.5069]	10.9+0.1s
[12800/15960]	[L1: 0.5057]	11.1+0.1s
[14400/15960]	[L1: 0.5060]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.77s

[Epoch 150]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4976]	11.2+0.6s
[3200/15960]	[L1: 0.5022]	11.0+0.1s
[4800/15960]	[L1: 0.5024]	10.8+0.1s
[6400/15960]	[L1: 0.5051]	11.0+0.1s
[8000/15960]	[L1: 0.5063]	10.8+0.1s
[9600/15960]	[L1: 0.5081]	11.1+0.1s
[11200/15960]	[L1: 0.5066]	10.9+0.1s
[12800/15960]	[L1: 0.5029]	11.0+0.1s
[14400/15960]	[L1: 0.5063]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.88s

[Epoch 151]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5064]	11.1+0.5s
[3200/15960]	[L1: 0.5123]	11.1+0.1s
[4800/15960]	[L1: 0.5164]	10.9+0.1s
[6400/15960]	[L1: 0.5106]	10.9+0.1s
[8000/15960]	[L1: 0.5053]	10.9+0.1s
[9600/15960]	[L1: 0.5055]	10.8+0.1s
[11200/15960]	[L1: 0.5045]	10.9+0.1s
[12800/15960]	[L1: 0.5047]	10.9+0.1s
[14400/15960]	[L1: 0.5053]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.73s

[Epoch 152]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5099]	11.1+0.6s
[3200/15960]	[L1: 0.5088]	9.6+0.1s
[4800/15960]	[L1: 0.5095]	11.0+0.1s
[6400/15960]	[L1: 0.5115]	11.0+0.1s
[8000/15960]	[L1: 0.5124]	10.7+0.1s
[9600/15960]	[L1: 0.5116]	10.7+0.1s
[11200/15960]	[L1: 0.5098]	10.9+0.1s
[12800/15960]	[L1: 0.5080]	10.7+0.1s
[14400/15960]	[L1: 0.5076]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.75s

[Epoch 153]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4963]	11.2+0.5s
[3200/15960]	[L1: 0.5025]	10.9+0.1s
[4800/15960]	[L1: 0.5071]	11.0+0.1s
[6400/15960]	[L1: 0.5106]	10.9+0.1s
[8000/15960]	[L1: 0.5081]	10.9+0.1s
[9600/15960]	[L1: 0.5062]	10.6+0.1s
[11200/15960]	[L1: 0.5047]	11.0+0.1s
[12800/15960]	[L1: 0.5069]	10.9+0.1s
[14400/15960]	[L1: 0.5054]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 154]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5099]	10.7+0.6s
[3200/15960]	[L1: 0.5137]	9.8+0.1s
[4800/15960]	[L1: 0.5075]	10.2+0.1s
[6400/15960]	[L1: 0.5075]	10.7+0.1s
[8000/15960]	[L1: 0.5058]	10.8+0.1s
[9600/15960]	[L1: 0.5085]	10.9+0.1s
[11200/15960]	[L1: 0.5072]	10.7+0.1s
[12800/15960]	[L1: 0.5060]	9.8+0.1s
[14400/15960]	[L1: 0.5058]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 155]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4884]	11.2+0.5s
[3200/15960]	[L1: 0.5134]	11.0+0.1s
[4800/15960]	[L1: 0.5180]	10.9+0.1s
[6400/15960]	[L1: 0.5208]	11.0+0.1s
[8000/15960]	[L1: 0.5158]	10.9+0.1s
[9600/15960]	[L1: 0.5119]	10.7+0.1s
[11200/15960]	[L1: 0.5110]	10.8+0.1s
[12800/15960]	[L1: 0.5083]	10.8+0.1s
[14400/15960]	[L1: 0.5091]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 156]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4921]	11.0+0.6s
[3200/15960]	[L1: 0.4955]	10.9+0.1s
[4800/15960]	[L1: 0.4984]	10.8+0.1s
[6400/15960]	[L1: 0.4942]	10.9+0.1s
[8000/15960]	[L1: 0.4973]	10.8+0.1s
[9600/15960]	[L1: 0.4996]	10.8+0.1s
[11200/15960]	[L1: 0.5049]	10.9+0.1s
[12800/15960]	[L1: 0.5061]	10.8+0.1s
[14400/15960]	[L1: 0.5090]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.73s

[Epoch 157]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5200]	10.1+0.5s
[3200/15960]	[L1: 0.5155]	10.6+0.1s
[4800/15960]	[L1: 0.5082]	10.9+0.1s
[6400/15960]	[L1: 0.5056]	10.2+0.1s
[8000/15960]	[L1: 0.5013]	10.3+0.1s
[9600/15960]	[L1: 0.5046]	10.6+0.1s
[11200/15960]	[L1: 0.5039]	10.7+0.1s
[12800/15960]	[L1: 0.5035]	10.8+0.1s
[14400/15960]	[L1: 0.5035]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 158]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4964]	11.0+0.6s
[3200/15960]	[L1: 0.5016]	10.7+0.1s
[4800/15960]	[L1: 0.4980]	10.8+0.1s
[6400/15960]	[L1: 0.4937]	10.9+0.1s
[8000/15960]	[L1: 0.4900]	11.0+0.1s
[9600/15960]	[L1: 0.4920]	10.3+0.1s
[11200/15960]	[L1: 0.4932]	9.5+0.1s
[12800/15960]	[L1: 0.4930]	10.3+0.1s
[14400/15960]	[L1: 0.4921]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.75s

[Epoch 159]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5079]	11.1+0.6s
[3200/15960]	[L1: 0.5092]	10.8+0.1s
[4800/15960]	[L1: 0.5069]	10.9+0.1s
[6400/15960]	[L1: 0.5065]	10.8+0.1s
[8000/15960]	[L1: 0.5035]	10.8+0.1s
[9600/15960]	[L1: 0.5047]	10.9+0.1s
[11200/15960]	[L1: 0.5039]	10.8+0.1s
[12800/15960]	[L1: 0.5038]	10.9+0.1s
[14400/15960]	[L1: 0.5017]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 160]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5003]	11.1+0.5s
[3200/15960]	[L1: 0.4929]	11.0+0.1s
[4800/15960]	[L1: 0.4942]	11.0+0.1s
[6400/15960]	[L1: 0.4946]	11.1+0.1s
[8000/15960]	[L1: 0.4942]	11.0+0.1s
[9600/15960]	[L1: 0.4937]	11.0+0.1s
[11200/15960]	[L1: 0.4949]	11.0+0.1s
[12800/15960]	[L1: 0.4960]	11.1+0.1s
[14400/15960]	[L1: 0.4966]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.78s

[Epoch 161]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5205]	11.3+0.6s
[3200/15960]	[L1: 0.5143]	11.0+0.1s
[4800/15960]	[L1: 0.5063]	10.9+0.1s
[6400/15960]	[L1: 0.5039]	11.1+0.1s
[8000/15960]	[L1: 0.5025]	10.9+0.1s
[9600/15960]	[L1: 0.5017]	11.1+0.1s
[11200/15960]	[L1: 0.5003]	11.0+0.1s
[12800/15960]	[L1: 0.5003]	11.1+0.1s
[14400/15960]	[L1: 0.5004]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 2.06s

[Epoch 162]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5100]	10.5+0.5s
[3200/15960]	[L1: 0.5004]	10.8+0.1s
[4800/15960]	[L1: 0.4985]	11.0+0.1s
[6400/15960]	[L1: 0.5016]	9.9+0.1s
[8000/15960]	[L1: 0.5009]	10.6+0.1s
[9600/15960]	[L1: 0.5008]	9.7+0.1s
[11200/15960]	[L1: 0.4994]	9.8+0.1s
[12800/15960]	[L1: 0.4987]	10.3+0.1s
[14400/15960]	[L1: 0.5013]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 163]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4988]	10.1+0.5s
[3200/15960]	[L1: 0.4982]	10.1+0.1s
[4800/15960]	[L1: 0.4968]	9.9+0.1s
[6400/15960]	[L1: 0.4949]	10.0+0.1s
[8000/15960]	[L1: 0.4947]	9.9+0.1s
[9600/15960]	[L1: 0.4978]	9.9+0.1s
[11200/15960]	[L1: 0.4973]	9.9+0.1s
[12800/15960]	[L1: 0.4976]	10.2+0.1s
[14400/15960]	[L1: 0.4979]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.75s

[Epoch 164]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4852]	11.2+0.5s
[3200/15960]	[L1: 0.4864]	10.8+0.1s
[4800/15960]	[L1: 0.4892]	10.4+0.1s
[6400/15960]	[L1: 0.4985]	10.6+0.1s
[8000/15960]	[L1: 0.4972]	10.2+0.1s
[9600/15960]	[L1: 0.4960]	10.4+0.1s
[11200/15960]	[L1: 0.4959]	10.6+0.1s
[12800/15960]	[L1: 0.4949]	11.1+0.1s
[14400/15960]	[L1: 0.4946]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.73s

[Epoch 165]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5213]	11.1+0.7s
[3200/15960]	[L1: 0.5066]	11.2+0.1s
[4800/15960]	[L1: 0.5004]	10.8+0.1s
[6400/15960]	[L1: 0.5011]	11.0+0.1s
[8000/15960]	[L1: 0.5003]	9.9+0.1s
[9600/15960]	[L1: 0.5031]	10.5+0.1s
[11200/15960]	[L1: 0.5008]	9.6+0.1s
[12800/15960]	[L1: 0.5009]	10.2+0.1s
[14400/15960]	[L1: 0.4991]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 166]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4854]	11.2+0.6s
[3200/15960]	[L1: 0.4989]	10.9+0.1s
[4800/15960]	[L1: 0.4983]	10.8+0.1s
[6400/15960]	[L1: 0.4931]	11.0+0.1s
[8000/15960]	[L1: 0.4908]	11.0+0.1s
[9600/15960]	[L1: 0.4933]	10.8+0.1s
[11200/15960]	[L1: 0.4936]	10.9+0.1s
[12800/15960]	[L1: 0.4955]	10.8+0.1s
[14400/15960]	[L1: 0.4986]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 167]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4973]	11.1+0.6s
[3200/15960]	[L1: 0.5021]	10.7+0.1s
[4800/15960]	[L1: 0.5016]	9.9+0.1s
[6400/15960]	[L1: 0.5034]	10.6+0.1s
[8000/15960]	[L1: 0.4989]	10.0+0.1s
[9600/15960]	[L1: 0.4995]	10.8+0.1s
[11200/15960]	[L1: 0.4982]	10.7+0.1s
[12800/15960]	[L1: 0.4986]	10.8+0.1s
[14400/15960]	[L1: 0.4985]	10.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.72s

[Epoch 168]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5014]	10.9+0.5s
[3200/15960]	[L1: 0.4992]	10.6+0.1s
[4800/15960]	[L1: 0.4961]	10.5+0.1s
[6400/15960]	[L1: 0.4950]	10.6+0.1s
[8000/15960]	[L1: 0.4988]	10.2+0.1s
[9600/15960]	[L1: 0.4980]	10.3+0.1s
[11200/15960]	[L1: 0.4986]	10.3+0.1s
[12800/15960]	[L1: 0.4998]	10.2+0.1s
[14400/15960]	[L1: 0.5008]	9.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.73s

[Epoch 169]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4879]	10.6+0.7s
[3200/15960]	[L1: 0.4926]	10.8+0.1s
[4800/15960]	[L1: 0.4982]	9.7+0.1s
[6400/15960]	[L1: 0.4950]	10.9+0.1s
[8000/15960]	[L1: 0.4917]	10.8+0.1s
[9600/15960]	[L1: 0.4953]	10.8+0.1s
[11200/15960]	[L1: 0.4968]	10.9+0.1s
[12800/15960]	[L1: 0.4949]	10.8+0.1s
[14400/15960]	[L1: 0.4950]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.84s

[Epoch 170]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4944]	11.3+0.6s
[3200/15960]	[L1: 0.5034]	10.9+0.1s
[4800/15960]	[L1: 0.5050]	10.8+0.1s
[6400/15960]	[L1: 0.5002]	10.9+0.1s
[8000/15960]	[L1: 0.4972]	10.8+0.1s
[9600/15960]	[L1: 0.4979]	11.0+0.1s
[11200/15960]	[L1: 0.4966]	10.9+0.1s
[12800/15960]	[L1: 0.4986]	10.8+0.1s
[14400/15960]	[L1: 0.4989]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 171]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5179]	11.0+0.5s
[3200/15960]	[L1: 0.5033]	11.1+0.1s
[4800/15960]	[L1: 0.5042]	10.9+0.1s
[6400/15960]	[L1: 0.5052]	10.9+0.1s
[8000/15960]	[L1: 0.5046]	11.1+0.1s
[9600/15960]	[L1: 0.5028]	10.9+0.1s
[11200/15960]	[L1: 0.5019]	11.0+0.1s
[12800/15960]	[L1: 0.5019]	10.9+0.1s
[14400/15960]	[L1: 0.5025]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 172]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5095]	10.5+0.6s
[3200/15960]	[L1: 0.4944]	10.8+0.1s
[4800/15960]	[L1: 0.4961]	11.0+0.1s
[6400/15960]	[L1: 0.4936]	11.0+0.1s
[8000/15960]	[L1: 0.4962]	10.8+0.1s
[9600/15960]	[L1: 0.4998]	11.0+0.1s
[11200/15960]	[L1: 0.4977]	10.9+0.1s
[12800/15960]	[L1: 0.4987]	10.7+0.1s
[14400/15960]	[L1: 0.4979]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.75s

[Epoch 173]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4998]	11.1+0.6s
[3200/15960]	[L1: 0.5062]	10.9+0.1s
[4800/15960]	[L1: 0.5046]	10.8+0.1s
[6400/15960]	[L1: 0.5003]	10.5+0.1s
[8000/15960]	[L1: 0.4996]	10.8+0.1s
[9600/15960]	[L1: 0.4974]	10.8+0.1s
[11200/15960]	[L1: 0.4961]	11.0+0.1s
[12800/15960]	[L1: 0.4959]	10.9+0.1s
[14400/15960]	[L1: 0.4958]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 174]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4928]	10.1+0.5s
[3200/15960]	[L1: 0.5069]	10.7+0.1s
[4800/15960]	[L1: 0.5034]	10.2+0.1s
[6400/15960]	[L1: 0.5020]	11.0+0.1s
[8000/15960]	[L1: 0.4994]	10.9+0.1s
[9600/15960]	[L1: 0.4978]	11.0+0.1s
[11200/15960]	[L1: 0.4973]	10.9+0.1s
[12800/15960]	[L1: 0.4969]	11.0+0.1s
[14400/15960]	[L1: 0.4959]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.82s

[Epoch 175]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4879]	10.6+0.5s
[3200/15960]	[L1: 0.4969]	10.1+0.1s
[4800/15960]	[L1: 0.4952]	9.6+0.1s
[6400/15960]	[L1: 0.4957]	9.7+0.1s
[8000/15960]	[L1: 0.4944]	9.7+0.1s
[9600/15960]	[L1: 0.4919]	9.6+0.1s
[11200/15960]	[L1: 0.4918]	9.7+0.1s
[12800/15960]	[L1: 0.4945]	9.9+0.1s
[14400/15960]	[L1: 0.4957]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.80s

[Epoch 176]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5110]	10.2+0.5s
[3200/15960]	[L1: 0.4939]	9.6+0.1s
[4800/15960]	[L1: 0.4957]	9.8+0.1s
[6400/15960]	[L1: 0.4957]	9.7+0.1s
[8000/15960]	[L1: 0.4968]	9.5+0.1s
[9600/15960]	[L1: 0.4959]	10.7+0.1s
[11200/15960]	[L1: 0.4957]	10.8+0.1s
[12800/15960]	[L1: 0.4961]	10.7+0.1s
[14400/15960]	[L1: 0.4945]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 177]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4851]	11.1+0.5s
[3200/15960]	[L1: 0.4884]	10.8+0.1s
[4800/15960]	[L1: 0.4917]	10.9+0.1s
[6400/15960]	[L1: 0.4914]	10.7+0.1s
[8000/15960]	[L1: 0.4878]	11.0+0.1s
[9600/15960]	[L1: 0.4912]	10.8+0.1s
[11200/15960]	[L1: 0.4947]	10.8+0.1s
[12800/15960]	[L1: 0.4925]	10.9+0.1s
[14400/15960]	[L1: 0.4926]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.77s

[Epoch 178]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5018]	11.1+0.5s
[3200/15960]	[L1: 0.5049]	11.0+0.1s
[4800/15960]	[L1: 0.5057]	10.8+0.1s
[6400/15960]	[L1: 0.5017]	10.9+0.1s
[8000/15960]	[L1: 0.4974]	10.8+0.1s
[9600/15960]	[L1: 0.4951]	10.9+0.1s
[11200/15960]	[L1: 0.4951]	10.8+0.1s
[12800/15960]	[L1: 0.4951]	10.8+0.1s
[14400/15960]	[L1: 0.4961]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.72s

[Epoch 179]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4856]	9.7+0.5s
[3200/15960]	[L1: 0.4966]	9.4+0.1s
[4800/15960]	[L1: 0.4976]	9.4+0.1s
[6400/15960]	[L1: 0.4958]	9.7+0.1s
[8000/15960]	[L1: 0.5001]	10.4+0.1s
[9600/15960]	[L1: 0.4988]	10.0+0.1s
[11200/15960]	[L1: 0.4988]	10.2+0.1s
[12800/15960]	[L1: 0.4990]	9.7+0.1s
[14400/15960]	[L1: 0.4977]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 180]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4693]	11.1+0.6s
[3200/15960]	[L1: 0.4855]	11.1+0.1s
[4800/15960]	[L1: 0.4888]	11.0+0.1s
[6400/15960]	[L1: 0.4907]	11.1+0.1s
[8000/15960]	[L1: 0.4927]	10.9+0.1s
[9600/15960]	[L1: 0.4925]	11.1+0.1s
[11200/15960]	[L1: 0.4936]	9.9+0.1s
[12800/15960]	[L1: 0.4921]	9.9+0.1s
[14400/15960]	[L1: 0.4930]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 181]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4953]	11.2+0.6s
[3200/15960]	[L1: 0.5017]	11.5+0.1s
[4800/15960]	[L1: 0.4995]	10.0+0.1s
[6400/15960]	[L1: 0.5022]	10.7+0.1s
[8000/15960]	[L1: 0.4966]	10.0+0.1s
[9600/15960]	[L1: 0.4938]	10.9+0.1s
[11200/15960]	[L1: 0.4952]	11.0+0.1s
[12800/15960]	[L1: 0.4949]	10.8+0.1s
[14400/15960]	[L1: 0.4942]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 182]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4994]	11.1+0.6s
[3200/15960]	[L1: 0.4970]	11.1+0.1s
[4800/15960]	[L1: 0.4977]	10.9+0.1s
[6400/15960]	[L1: 0.4982]	11.0+0.1s
[8000/15960]	[L1: 0.4983]	10.9+0.1s
[9600/15960]	[L1: 0.4981]	11.0+0.1s
[11200/15960]	[L1: 0.4993]	10.9+0.1s
[12800/15960]	[L1: 0.4973]	11.0+0.1s
[14400/15960]	[L1: 0.4966]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 183]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4787]	11.2+0.6s
[3200/15960]	[L1: 0.4806]	11.0+0.1s
[4800/15960]	[L1: 0.4895]	10.9+0.1s
[6400/15960]	[L1: 0.4882]	11.0+0.1s
[8000/15960]	[L1: 0.4887]	11.1+0.1s
[9600/15960]	[L1: 0.4886]	10.9+0.1s
[11200/15960]	[L1: 0.4882]	11.0+0.1s
[12800/15960]	[L1: 0.4870]	10.9+0.1s
[14400/15960]	[L1: 0.4885]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.76s

[Epoch 184]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4921]	10.7+0.5s
[3200/15960]	[L1: 0.4864]	10.6+0.1s
[4800/15960]	[L1: 0.4874]	10.3+0.1s
[6400/15960]	[L1: 0.4875]	10.4+0.1s
[8000/15960]	[L1: 0.4881]	10.2+0.1s
[9600/15960]	[L1: 0.4883]	10.2+0.1s
[11200/15960]	[L1: 0.4879]	10.3+0.1s
[12800/15960]	[L1: 0.4877]	10.1+0.1s
[14400/15960]	[L1: 0.4887]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.75s

[Epoch 185]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4761]	11.0+0.7s
[3200/15960]	[L1: 0.4894]	10.9+0.1s
[4800/15960]	[L1: 0.4885]	10.7+0.1s
[6400/15960]	[L1: 0.4876]	10.8+0.1s
[8000/15960]	[L1: 0.4874]	10.8+0.1s
[9600/15960]	[L1: 0.4871]	10.8+0.1s
[11200/15960]	[L1: 0.4874]	10.9+0.1s
[12800/15960]	[L1: 0.4896]	10.8+0.1s
[14400/15960]	[L1: 0.4903]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.75s

[Epoch 186]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4751]	11.0+0.6s
[3200/15960]	[L1: 0.4762]	10.9+0.1s
[4800/15960]	[L1: 0.4834]	10.7+0.1s
[6400/15960]	[L1: 0.4897]	10.8+0.1s
[8000/15960]	[L1: 0.4882]	10.8+0.1s
[9600/15960]	[L1: 0.4900]	10.8+0.1s
[11200/15960]	[L1: 0.4895]	10.8+0.1s
[12800/15960]	[L1: 0.4913]	10.6+0.1s
[14400/15960]	[L1: 0.4900]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.78s

[Epoch 187]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4835]	11.1+0.6s
[3200/15960]	[L1: 0.4871]	10.1+0.1s
[4800/15960]	[L1: 0.4879]	10.5+0.1s
[6400/15960]	[L1: 0.4901]	11.0+0.1s
[8000/15960]	[L1: 0.4929]	10.8+0.1s
[9600/15960]	[L1: 0.4924]	10.9+0.1s
[11200/15960]	[L1: 0.4909]	10.9+0.1s
[12800/15960]	[L1: 0.4903]	10.8+0.1s
[14400/15960]	[L1: 0.4905]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 188]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4966]	10.6+0.5s
[3200/15960]	[L1: 0.4883]	10.1+0.1s
[4800/15960]	[L1: 0.4906]	10.2+0.1s
[6400/15960]	[L1: 0.4870]	10.2+0.1s
[8000/15960]	[L1: 0.4890]	10.3+0.1s
[9600/15960]	[L1: 0.4890]	10.8+0.1s
[11200/15960]	[L1: 0.4944]	9.8+0.1s
[12800/15960]	[L1: 0.4925]	9.6+0.1s
[14400/15960]	[L1: 0.4920]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.74s

[Epoch 189]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5047]	11.2+0.6s
[3200/15960]	[L1: 0.4972]	10.6+0.1s
[4800/15960]	[L1: 0.4851]	10.3+0.1s
[6400/15960]	[L1: 0.4844]	10.9+0.1s
[8000/15960]	[L1: 0.4829]	10.2+0.1s
[9600/15960]	[L1: 0.4849]	10.2+0.1s
[11200/15960]	[L1: 0.4840]	10.0+0.1s
[12800/15960]	[L1: 0.4846]	9.4+0.1s
[14400/15960]	[L1: 0.4861]	9.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.75s

[Epoch 190]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4919]	10.9+0.6s
[3200/15960]	[L1: 0.4939]	10.8+0.1s
[4800/15960]	[L1: 0.4930]	10.8+0.1s
[6400/15960]	[L1: 0.4965]	10.8+0.1s
[8000/15960]	[L1: 0.4934]	11.0+0.1s
[9600/15960]	[L1: 0.4964]	10.8+0.1s
[11200/15960]	[L1: 0.4968]	11.0+0.1s
[12800/15960]	[L1: 0.4968]	10.8+0.1s
[14400/15960]	[L1: 0.4952]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 191]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4900]	10.8+0.6s
[3200/15960]	[L1: 0.4881]	10.2+0.1s
[4800/15960]	[L1: 0.4891]	10.2+0.1s
[6400/15960]	[L1: 0.4892]	10.9+0.1s
[8000/15960]	[L1: 0.4854]	10.8+0.1s
[9600/15960]	[L1: 0.4878]	10.9+0.1s
[11200/15960]	[L1: 0.4853]	10.9+0.1s
[12800/15960]	[L1: 0.4872]	10.7+0.1s
[14400/15960]	[L1: 0.4885]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.76s

[Epoch 192]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4826]	11.0+0.6s
[3200/15960]	[L1: 0.4888]	10.9+0.1s
[4800/15960]	[L1: 0.4947]	10.7+0.1s
[6400/15960]	[L1: 0.4949]	10.4+0.1s
[8000/15960]	[L1: 0.4927]	11.0+0.1s
[9600/15960]	[L1: 0.4917]	10.6+0.1s
[11200/15960]	[L1: 0.4905]	11.0+0.1s
[12800/15960]	[L1: 0.4907]	10.8+0.1s
[14400/15960]	[L1: 0.4913]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 193]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4745]	10.0+0.5s
[3200/15960]	[L1: 0.4753]	9.6+0.1s
[4800/15960]	[L1: 0.4826]	10.5+0.1s
[6400/15960]	[L1: 0.4884]	11.0+0.1s
[8000/15960]	[L1: 0.4904]	10.1+0.1s
[9600/15960]	[L1: 0.4885]	9.7+0.1s
[11200/15960]	[L1: 0.4897]	9.5+0.1s
[12800/15960]	[L1: 0.4889]	10.1+0.1s
[14400/15960]	[L1: 0.4904]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.76s

[Epoch 194]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.5242]	10.8+0.6s
[3200/15960]	[L1: 0.5111]	9.9+0.1s
[4800/15960]	[L1: 0.4997]	9.6+0.1s
[6400/15960]	[L1: 0.4956]	10.1+0.1s
[8000/15960]	[L1: 0.4925]	10.4+0.1s
[9600/15960]	[L1: 0.4908]	9.5+0.1s
[11200/15960]	[L1: 0.4872]	10.4+0.1s
[12800/15960]	[L1: 0.4880]	10.9+0.1s
[14400/15960]	[L1: 0.4878]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 195]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4716]	10.9+0.6s
[3200/15960]	[L1: 0.4815]	10.9+0.1s
[4800/15960]	[L1: 0.4795]	10.7+0.1s
[6400/15960]	[L1: 0.4838]	10.7+0.1s
[8000/15960]	[L1: 0.4891]	10.9+0.1s
[9600/15960]	[L1: 0.4883]	10.9+0.1s
[11200/15960]	[L1: 0.4875]	10.7+0.1s
[12800/15960]	[L1: 0.4855]	10.8+0.1s
[14400/15960]	[L1: 0.4857]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.86s

[Epoch 196]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4944]	11.0+0.6s
[3200/15960]	[L1: 0.4878]	10.8+0.1s
[4800/15960]	[L1: 0.4922]	10.8+0.1s
[6400/15960]	[L1: 0.4897]	10.8+0.1s
[8000/15960]	[L1: 0.4874]	11.0+0.1s
[9600/15960]	[L1: 0.4878]	10.4+0.1s
[11200/15960]	[L1: 0.4890]	10.4+0.1s
[12800/15960]	[L1: 0.4893]	11.0+0.1s
[14400/15960]	[L1: 0.4898]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.72s

[Epoch 197]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4854]	10.1+0.6s
[3200/15960]	[L1: 0.4865]	10.6+0.1s
[4800/15960]	[L1: 0.4886]	10.2+0.1s
[6400/15960]	[L1: 0.4891]	10.7+0.1s
[8000/15960]	[L1: 0.4888]	10.5+0.1s
[9600/15960]	[L1: 0.4888]	10.9+0.1s
[11200/15960]	[L1: 0.4878]	10.8+0.1s
[12800/15960]	[L1: 0.4883]	10.8+0.1s
[14400/15960]	[L1: 0.4881]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.78s

[Epoch 198]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4949]	11.4+0.6s
[3200/15960]	[L1: 0.5033]	11.1+0.1s
[4800/15960]	[L1: 0.4979]	11.0+0.1s
[6400/15960]	[L1: 0.4909]	11.1+0.1s
[8000/15960]	[L1: 0.4862]	11.1+0.1s
[9600/15960]	[L1: 0.4885]	11.0+0.1s
[11200/15960]	[L1: 0.4886]	11.1+0.1s
[12800/15960]	[L1: 0.4863]	11.1+0.1s
[14400/15960]	[L1: 0.4850]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 199]	Learning rate: 5.00e-5
[1600/15960]	[L1: 0.4626]	11.1+0.6s
[3200/15960]	[L1: 0.4757]	11.0+0.1s
[4800/15960]	[L1: 0.4813]	10.7+0.1s
[6400/15960]	[L1: 0.4859]	11.1+0.1s
[8000/15960]	[L1: 0.4849]	11.0+0.1s
[9600/15960]	[L1: 0.4847]	10.8+0.1s
[11200/15960]	[L1: 0.4848]	10.7+0.1s
[12800/15960]	[L1: 0.4845]	10.7+0.1s
[14400/15960]	[L1: 0.4839]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.80s

[Epoch 200]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4640]	11.2+0.6s
[3200/15960]	[L1: 0.4618]	11.0+0.1s
[4800/15960]	[L1: 0.4610]	10.9+0.1s
[6400/15960]	[L1: 0.4557]	11.1+0.1s
[8000/15960]	[L1: 0.4564]	10.6+0.1s
[9600/15960]	[L1: 0.4559]	10.1+0.1s
[11200/15960]	[L1: 0.4543]	10.9+0.1s
[12800/15960]	[L1: 0.4526]	10.2+0.1s
[14400/15960]	[L1: 0.4523]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.78s

[Epoch 201]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4523]	10.1+0.5s
[3200/15960]	[L1: 0.4488]	10.7+0.1s
[4800/15960]	[L1: 0.4502]	10.8+0.1s
[6400/15960]	[L1: 0.4513]	9.9+0.1s
[8000/15960]	[L1: 0.4501]	10.7+0.1s
[9600/15960]	[L1: 0.4520]	10.9+0.1s
[11200/15960]	[L1: 0.4506]	10.8+0.1s
[12800/15960]	[L1: 0.4513]	10.8+0.1s
[14400/15960]	[L1: 0.4511]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.85s

[Epoch 202]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4617]	10.9+0.6s
[3200/15960]	[L1: 0.4621]	11.0+0.1s
[4800/15960]	[L1: 0.4651]	10.8+0.1s
[6400/15960]	[L1: 0.4621]	9.9+0.1s
[8000/15960]	[L1: 0.4630]	9.7+0.1s
[9600/15960]	[L1: 0.4618]	10.3+0.1s
[11200/15960]	[L1: 0.4601]	10.9+0.1s
[12800/15960]	[L1: 0.4607]	10.9+0.1s
[14400/15960]	[L1: 0.4605]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 203]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4583]	11.0+0.6s
[3200/15960]	[L1: 0.4533]	11.1+0.1s
[4800/15960]	[L1: 0.4498]	10.8+0.1s
[6400/15960]	[L1: 0.4514]	10.9+0.1s
[8000/15960]	[L1: 0.4527]	10.8+0.1s
[9600/15960]	[L1: 0.4533]	11.0+0.1s
[11200/15960]	[L1: 0.4526]	10.8+0.1s
[12800/15960]	[L1: 0.4519]	10.8+0.1s
[14400/15960]	[L1: 0.4524]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.81s

[Epoch 204]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4607]	11.3+0.5s
[3200/15960]	[L1: 0.4528]	11.1+0.1s
[4800/15960]	[L1: 0.4535]	11.0+0.1s
[6400/15960]	[L1: 0.4575]	11.1+0.1s
[8000/15960]	[L1: 0.4564]	11.1+0.1s
[9600/15960]	[L1: 0.4568]	11.0+0.1s
[11200/15960]	[L1: 0.4566]	11.1+0.1s
[12800/15960]	[L1: 0.4566]	11.1+0.1s
[14400/15960]	[L1: 0.4560]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.77s

[Epoch 205]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4511]	10.7+0.5s
[3200/15960]	[L1: 0.4505]	11.0+0.1s
[4800/15960]	[L1: 0.4526]	10.5+0.1s
[6400/15960]	[L1: 0.4544]	10.5+0.1s
[8000/15960]	[L1: 0.4572]	9.9+0.1s
[9600/15960]	[L1: 0.4563]	10.8+0.1s
[11200/15960]	[L1: 0.4581]	10.4+0.1s
[12800/15960]	[L1: 0.4584]	10.8+0.1s
[14400/15960]	[L1: 0.4571]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.77s

[Epoch 206]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4506]	11.2+0.5s
[3200/15960]	[L1: 0.4536]	11.1+0.1s
[4800/15960]	[L1: 0.4555]	10.9+0.1s
[6400/15960]	[L1: 0.4545]	11.0+0.1s
[8000/15960]	[L1: 0.4554]	10.9+0.1s
[9600/15960]	[L1: 0.4571]	10.8+0.1s
[11200/15960]	[L1: 0.4566]	11.0+0.1s
[12800/15960]	[L1: 0.4578]	11.0+0.1s
[14400/15960]	[L1: 0.4573]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 207]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4636]	10.9+0.6s
[3200/15960]	[L1: 0.4667]	10.8+0.1s
[4800/15960]	[L1: 0.4623]	10.0+0.1s
[6400/15960]	[L1: 0.4647]	9.7+0.1s
[8000/15960]	[L1: 0.4646]	10.1+0.1s
[9600/15960]	[L1: 0.4646]	9.6+0.1s
[11200/15960]	[L1: 0.4634]	9.6+0.1s
[12800/15960]	[L1: 0.4621]	10.8+0.1s
[14400/15960]	[L1: 0.4605]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.72s

[Epoch 208]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4477]	10.3+0.5s
[3200/15960]	[L1: 0.4518]	10.9+0.1s
[4800/15960]	[L1: 0.4546]	10.6+0.1s
[6400/15960]	[L1: 0.4558]	10.9+0.1s
[8000/15960]	[L1: 0.4571]	10.9+0.1s
[9600/15960]	[L1: 0.4555]	10.8+0.1s
[11200/15960]	[L1: 0.4539]	11.0+0.1s
[12800/15960]	[L1: 0.4536]	10.8+0.1s
[14400/15960]	[L1: 0.4537]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.74s

[Epoch 209]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4480]	10.9+0.6s
[3200/15960]	[L1: 0.4443]	10.4+0.1s
[4800/15960]	[L1: 0.4466]	10.7+0.1s
[6400/15960]	[L1: 0.4478]	10.8+0.1s
[8000/15960]	[L1: 0.4457]	10.7+0.1s
[9600/15960]	[L1: 0.4481]	10.7+0.1s
[11200/15960]	[L1: 0.4479]	10.7+0.1s
[12800/15960]	[L1: 0.4480]	10.8+0.1s
[14400/15960]	[L1: 0.4489]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.73s

[Epoch 210]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4502]	10.5+0.5s
[3200/15960]	[L1: 0.4437]	10.7+0.1s
[4800/15960]	[L1: 0.4471]	10.5+0.1s
[6400/15960]	[L1: 0.4474]	11.1+0.1s
[8000/15960]	[L1: 0.4471]	10.9+0.1s
[9600/15960]	[L1: 0.4463]	10.9+0.1s
[11200/15960]	[L1: 0.4461]	10.9+0.1s
[12800/15960]	[L1: 0.4466]	10.9+0.1s
[14400/15960]	[L1: 0.4459]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 211]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4514]	10.7+0.5s
[3200/15960]	[L1: 0.4494]	11.0+0.1s
[4800/15960]	[L1: 0.4529]	10.2+0.1s
[6400/15960]	[L1: 0.4540]	9.9+0.1s
[8000/15960]	[L1: 0.4518]	9.9+0.1s
[9600/15960]	[L1: 0.4519]	10.0+0.1s
[11200/15960]	[L1: 0.4533]	10.1+0.1s
[12800/15960]	[L1: 0.4523]	10.1+0.1s
[14400/15960]	[L1: 0.4528]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 212]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4595]	10.9+0.6s
[3200/15960]	[L1: 0.4567]	11.0+0.1s
[4800/15960]	[L1: 0.4585]	10.8+0.1s
[6400/15960]	[L1: 0.4581]	10.8+0.1s
[8000/15960]	[L1: 0.4586]	10.4+0.1s
[9600/15960]	[L1: 0.4591]	10.5+0.1s
[11200/15960]	[L1: 0.4578]	10.4+0.1s
[12800/15960]	[L1: 0.4608]	10.3+0.1s
[14400/15960]	[L1: 0.4599]	11.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.76s

[Epoch 213]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4444]	11.0+0.6s
[3200/15960]	[L1: 0.4571]	9.5+0.1s
[4800/15960]	[L1: 0.4585]	9.7+0.1s
[6400/15960]	[L1: 0.4574]	10.3+0.1s
[8000/15960]	[L1: 0.4580]	9.6+0.1s
[9600/15960]	[L1: 0.4577]	10.4+0.1s
[11200/15960]	[L1: 0.4582]	10.8+0.1s
[12800/15960]	[L1: 0.4594]	10.9+0.1s
[14400/15960]	[L1: 0.4603]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.73s

[Epoch 214]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4529]	11.3+0.5s
[3200/15960]	[L1: 0.4503]	11.0+0.1s
[4800/15960]	[L1: 0.4536]	11.1+0.1s
[6400/15960]	[L1: 0.4543]	11.2+0.1s
[8000/15960]	[L1: 0.4514]	10.3+0.1s
[9600/15960]	[L1: 0.4529]	10.4+0.1s
[11200/15960]	[L1: 0.4527]	10.5+0.1s
[12800/15960]	[L1: 0.4527]	10.4+0.1s
[14400/15960]	[L1: 0.4519]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.85s

[Epoch 215]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4499]	11.4+0.6s
[3200/15960]	[L1: 0.4455]	10.9+0.1s
[4800/15960]	[L1: 0.4443]	11.0+0.1s
[6400/15960]	[L1: 0.4451]	11.0+0.1s
[8000/15960]	[L1: 0.4431]	11.1+0.1s
[9600/15960]	[L1: 0.4468]	10.3+0.1s
[11200/15960]	[L1: 0.4473]	10.9+0.1s
[12800/15960]	[L1: 0.4484]	10.4+0.1s
[14400/15960]	[L1: 0.4499]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 216]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4568]	11.2+0.6s
[3200/15960]	[L1: 0.4490]	11.2+0.1s
[4800/15960]	[L1: 0.4487]	11.0+0.1s
[6400/15960]	[L1: 0.4487]	11.1+0.1s
[8000/15960]	[L1: 0.4472]	11.0+0.1s
[9600/15960]	[L1: 0.4486]	11.1+0.1s
[11200/15960]	[L1: 0.4513]	11.0+0.1s
[12800/15960]	[L1: 0.4512]	11.1+0.1s
[14400/15960]	[L1: 0.4496]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 1.71s

[Epoch 217]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4499]	10.5+0.5s
[3200/15960]	[L1: 0.4523]	10.9+0.1s
[4800/15960]	[L1: 0.4540]	10.9+0.1s
[6400/15960]	[L1: 0.4540]	10.9+0.1s
[8000/15960]	[L1: 0.4536]	11.0+0.1s
[9600/15960]	[L1: 0.4506]	10.7+0.1s
[11200/15960]	[L1: 0.4500]	10.8+0.1s
[12800/15960]	[L1: 0.4492]	10.8+0.1s
[14400/15960]	[L1: 0.4483]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.79s

[Epoch 218]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4495]	11.3+0.6s
[3200/15960]	[L1: 0.4498]	10.9+0.1s
[4800/15960]	[L1: 0.4444]	11.1+0.1s
[6400/15960]	[L1: 0.4464]	10.9+0.1s
[8000/15960]	[L1: 0.4485]	11.1+0.1s
[9600/15960]	[L1: 0.4474]	11.1+0.1s
[11200/15960]	[L1: 0.4472]	10.9+0.1s
[12800/15960]	[L1: 0.4476]	11.1+0.1s
[14400/15960]	[L1: 0.4487]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 219]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4608]	11.1+0.5s
[3200/15960]	[L1: 0.4590]	10.8+0.1s
[4800/15960]	[L1: 0.4513]	10.9+0.1s
[6400/15960]	[L1: 0.4533]	10.8+0.1s
[8000/15960]	[L1: 0.4540]	10.9+0.1s
[9600/15960]	[L1: 0.4544]	10.8+0.1s
[11200/15960]	[L1: 0.4542]	10.8+0.1s
[12800/15960]	[L1: 0.4530]	10.9+0.1s
[14400/15960]	[L1: 0.4517]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.71s

[Epoch 220]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4490]	10.9+0.5s
[3200/15960]	[L1: 0.4503]	11.0+0.1s
[4800/15960]	[L1: 0.4523]	10.9+0.1s
[6400/15960]	[L1: 0.4507]	10.8+0.1s
[8000/15960]	[L1: 0.4503]	11.1+0.1s
[9600/15960]	[L1: 0.4476]	11.0+0.1s
[11200/15960]	[L1: 0.4460]	10.8+0.1s
[12800/15960]	[L1: 0.4468]	10.9+0.1s
[14400/15960]	[L1: 0.4473]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.73s

[Epoch 221]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4432]	11.2+0.6s
[3200/15960]	[L1: 0.4414]	11.0+0.1s
[4800/15960]	[L1: 0.4461]	11.0+0.1s
[6400/15960]	[L1: 0.4484]	10.9+0.1s
[8000/15960]	[L1: 0.4481]	11.1+0.1s
[9600/15960]	[L1: 0.4492]	10.9+0.1s
[11200/15960]	[L1: 0.4494]	10.9+0.1s
[12800/15960]	[L1: 0.4489]	10.8+0.1s
[14400/15960]	[L1: 0.4488]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.70s

[Epoch 222]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4524]	10.9+0.6s
[3200/15960]	[L1: 0.4561]	10.3+0.1s
[4800/15960]	[L1: 0.4557]	10.2+0.1s
[6400/15960]	[L1: 0.4506]	10.7+0.1s
[8000/15960]	[L1: 0.4514]	10.6+0.1s
[9600/15960]	[L1: 0.4527]	10.6+0.1s
[11200/15960]	[L1: 0.4524]	11.0+0.1s
[12800/15960]	[L1: 0.4522]	10.7+0.1s
[14400/15960]	[L1: 0.4506]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.75s

[Epoch 223]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4461]	10.6+0.6s
[3200/15960]	[L1: 0.4455]	10.5+0.1s
[4800/15960]	[L1: 0.4466]	9.6+0.1s
[6400/15960]	[L1: 0.4438]	10.3+0.1s
[8000/15960]	[L1: 0.4423]	10.8+0.1s
[9600/15960]	[L1: 0.4448]	10.1+0.1s
[11200/15960]	[L1: 0.4449]	10.5+0.1s
[12800/15960]	[L1: 0.4446]	10.6+0.1s
[14400/15960]	[L1: 0.4460]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.75s

[Epoch 224]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4434]	10.9+0.6s
[3200/15960]	[L1: 0.4528]	10.9+0.1s
[4800/15960]	[L1: 0.4489]	11.5+0.1s
[6400/15960]	[L1: 0.4460]	11.0+0.1s
[8000/15960]	[L1: 0.4468]	10.8+0.1s
[9600/15960]	[L1: 0.4478]	10.8+0.1s
[11200/15960]	[L1: 0.4483]	10.8+0.1s
[12800/15960]	[L1: 0.4478]	11.1+0.1s
[14400/15960]	[L1: 0.4472]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.75s

[Epoch 225]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4516]	10.9+0.6s
[3200/15960]	[L1: 0.4503]	11.0+0.1s
[4800/15960]	[L1: 0.4481]	11.1+0.1s
[6400/15960]	[L1: 0.4448]	11.1+0.1s
[8000/15960]	[L1: 0.4424]	10.9+0.1s
[9600/15960]	[L1: 0.4469]	11.1+0.1s
[11200/15960]	[L1: 0.4487]	10.7+0.1s
[12800/15960]	[L1: 0.4480]	10.8+0.1s
[14400/15960]	[L1: 0.4469]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 226]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4564]	10.0+0.5s
[3200/15960]	[L1: 0.4503]	9.5+0.1s
[4800/15960]	[L1: 0.4455]	9.6+0.1s
[6400/15960]	[L1: 0.4472]	10.5+0.1s
[8000/15960]	[L1: 0.4486]	10.7+0.1s
[9600/15960]	[L1: 0.4490]	10.5+0.1s
[11200/15960]	[L1: 0.4507]	9.5+0.1s
[12800/15960]	[L1: 0.4513]	10.7+0.1s
[14400/15960]	[L1: 0.4511]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 227]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4478]	11.4+0.6s
[3200/15960]	[L1: 0.4499]	11.3+0.1s
[4800/15960]	[L1: 0.4521]	10.5+0.1s
[6400/15960]	[L1: 0.4514]	10.5+0.1s
[8000/15960]	[L1: 0.4513]	10.8+0.1s
[9600/15960]	[L1: 0.4495]	10.2+0.1s
[11200/15960]	[L1: 0.4504]	10.6+0.1s
[12800/15960]	[L1: 0.4501]	9.7+0.1s
[14400/15960]	[L1: 0.4502]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.88s

[Epoch 228]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4510]	10.7+0.6s
[3200/15960]	[L1: 0.4459]	10.4+0.1s
[4800/15960]	[L1: 0.4433]	10.4+0.1s
[6400/15960]	[L1: 0.4432]	10.4+0.1s
[8000/15960]	[L1: 0.4437]	10.6+0.1s
[9600/15960]	[L1: 0.4458]	10.4+0.1s
[11200/15960]	[L1: 0.4480]	10.4+0.1s
[12800/15960]	[L1: 0.4494]	10.4+0.1s
[14400/15960]	[L1: 0.4502]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.75s

[Epoch 229]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4570]	10.2+0.6s
[3200/15960]	[L1: 0.4522]	9.5+0.1s
[4800/15960]	[L1: 0.4555]	9.9+0.1s
[6400/15960]	[L1: 0.4530]	10.5+0.1s
[8000/15960]	[L1: 0.4512]	10.3+0.1s
[9600/15960]	[L1: 0.4517]	10.9+0.1s
[11200/15960]	[L1: 0.4516]	10.7+0.1s
[12800/15960]	[L1: 0.4515]	10.9+0.1s
[14400/15960]	[L1: 0.4511]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 230]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4405]	10.9+0.5s
[3200/15960]	[L1: 0.4377]	10.7+0.1s
[4800/15960]	[L1: 0.4389]	10.8+0.1s
[6400/15960]	[L1: 0.4393]	10.7+0.1s
[8000/15960]	[L1: 0.4417]	10.9+0.1s
[9600/15960]	[L1: 0.4431]	10.7+0.1s
[11200/15960]	[L1: 0.4444]	10.8+0.1s
[12800/15960]	[L1: 0.4447]	10.7+0.1s
[14400/15960]	[L1: 0.4456]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.72s

[Epoch 231]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4631]	11.0+0.6s
[3200/15960]	[L1: 0.4608]	10.8+0.1s
[4800/15960]	[L1: 0.4603]	11.0+0.1s
[6400/15960]	[L1: 0.4569]	10.8+0.1s
[8000/15960]	[L1: 0.4530]	11.0+0.1s
[9600/15960]	[L1: 0.4522]	10.3+0.1s
[11200/15960]	[L1: 0.4523]	9.6+0.1s
[12800/15960]	[L1: 0.4524]	10.2+0.1s
[14400/15960]	[L1: 0.4516]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.31s

Saving...
Total: 0.74s

[Epoch 232]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4568]	10.6+0.6s
[3200/15960]	[L1: 0.4489]	10.0+0.1s
[4800/15960]	[L1: 0.4471]	10.0+0.1s
[6400/15960]	[L1: 0.4459]	10.7+0.1s
[8000/15960]	[L1: 0.4472]	10.2+0.1s
[9600/15960]	[L1: 0.4492]	10.4+0.1s
[11200/15960]	[L1: 0.4481]	10.9+0.1s
[12800/15960]	[L1: 0.4480]	11.1+0.1s
[14400/15960]	[L1: 0.4468]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 233]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4428]	10.3+0.6s
[3200/15960]	[L1: 0.4455]	10.2+0.1s
[4800/15960]	[L1: 0.4483]	10.5+0.1s
[6400/15960]	[L1: 0.4493]	10.0+0.1s
[8000/15960]	[L1: 0.4504]	10.1+0.1s
[9600/15960]	[L1: 0.4496]	10.1+0.1s
[11200/15960]	[L1: 0.4494]	10.0+0.1s
[12800/15960]	[L1: 0.4490]	10.9+0.1s
[14400/15960]	[L1: 0.4495]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.74s

[Epoch 234]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4510]	11.2+0.6s
[3200/15960]	[L1: 0.4425]	11.1+0.1s
[4800/15960]	[L1: 0.4413]	10.9+0.1s
[6400/15960]	[L1: 0.4403]	10.8+0.1s
[8000/15960]	[L1: 0.4414]	10.8+0.1s
[9600/15960]	[L1: 0.4415]	11.1+0.1s
[11200/15960]	[L1: 0.4418]	10.9+0.1s
[12800/15960]	[L1: 0.4416]	10.9+0.1s
[14400/15960]	[L1: 0.4423]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 235]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4406]	10.9+0.6s
[3200/15960]	[L1: 0.4410]	10.9+0.1s
[4800/15960]	[L1: 0.4404]	10.8+0.1s
[6400/15960]	[L1: 0.4433]	10.8+0.1s
[8000/15960]	[L1: 0.4449]	11.0+0.1s
[9600/15960]	[L1: 0.4448]	10.8+0.1s
[11200/15960]	[L1: 0.4468]	11.0+0.1s
[12800/15960]	[L1: 0.4460]	10.5+0.1s
[14400/15960]	[L1: 0.4454]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 236]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4498]	11.1+0.6s
[3200/15960]	[L1: 0.4459]	11.0+0.1s
[4800/15960]	[L1: 0.4438]	11.0+0.1s
[6400/15960]	[L1: 0.4451]	10.9+0.1s
[8000/15960]	[L1: 0.4479]	11.0+0.1s
[9600/15960]	[L1: 0.4479]	11.0+0.1s
[11200/15960]	[L1: 0.4496]	10.8+0.1s
[12800/15960]	[L1: 0.4493]	10.8+0.1s
[14400/15960]	[L1: 0.4490]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 237]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4483]	10.9+0.5s
[3200/15960]	[L1: 0.4440]	10.8+0.1s
[4800/15960]	[L1: 0.4487]	11.0+0.1s
[6400/15960]	[L1: 0.4505]	11.2+0.1s
[8000/15960]	[L1: 0.4493]	11.0+0.1s
[9600/15960]	[L1: 0.4513]	11.0+0.1s
[11200/15960]	[L1: 0.4501]	11.0+0.1s
[12800/15960]	[L1: 0.4501]	11.0+0.1s
[14400/15960]	[L1: 0.4501]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.34s

Saving...
Total: 0.76s

[Epoch 238]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4472]	10.8+0.5s
[3200/15960]	[L1: 0.4582]	10.8+0.1s
[4800/15960]	[L1: 0.4577]	10.6+0.1s
[6400/15960]	[L1: 0.4558]	10.5+0.1s
[8000/15960]	[L1: 0.4544]	10.2+0.1s
[9600/15960]	[L1: 0.4518]	10.4+0.1s
[11200/15960]	[L1: 0.4499]	10.9+0.1s
[12800/15960]	[L1: 0.4483]	10.8+0.1s
[14400/15960]	[L1: 0.4479]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.70s

[Epoch 239]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4531]	11.2+0.5s
[3200/15960]	[L1: 0.4547]	10.9+0.1s
[4800/15960]	[L1: 0.4531]	11.0+0.1s
[6400/15960]	[L1: 0.4541]	10.9+0.1s
[8000/15960]	[L1: 0.4504]	11.0+0.1s
[9600/15960]	[L1: 0.4487]	10.7+0.1s
[11200/15960]	[L1: 0.4489]	10.9+0.1s
[12800/15960]	[L1: 0.4490]	10.9+0.1s
[14400/15960]	[L1: 0.4484]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 240]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4543]	11.3+0.5s
[3200/15960]	[L1: 0.4503]	11.0+0.1s
[4800/15960]	[L1: 0.4504]	11.1+0.1s
[6400/15960]	[L1: 0.4508]	11.0+0.1s
[8000/15960]	[L1: 0.4489]	11.2+0.1s
[9600/15960]	[L1: 0.4477]	11.1+0.1s
[11200/15960]	[L1: 0.4480]	11.0+0.1s
[12800/15960]	[L1: 0.4480]	11.1+0.1s
[14400/15960]	[L1: 0.4490]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.77s

[Epoch 241]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4531]	11.4+0.6s
[3200/15960]	[L1: 0.4457]	11.1+0.1s
[4800/15960]	[L1: 0.4474]	11.1+0.1s
[6400/15960]	[L1: 0.4455]	11.0+0.1s
[8000/15960]	[L1: 0.4459]	11.2+0.1s
[9600/15960]	[L1: 0.4437]	10.9+0.1s
[11200/15960]	[L1: 0.4439]	10.8+0.1s
[12800/15960]	[L1: 0.4451]	10.9+0.1s
[14400/15960]	[L1: 0.4460]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 242]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4362]	11.1+0.6s
[3200/15960]	[L1: 0.4413]	11.1+0.1s
[4800/15960]	[L1: 0.4415]	11.0+0.1s
[6400/15960]	[L1: 0.4394]	11.0+0.1s
[8000/15960]	[L1: 0.4404]	10.9+0.1s
[9600/15960]	[L1: 0.4414]	10.9+0.1s
[11200/15960]	[L1: 0.4408]	11.0+0.1s
[12800/15960]	[L1: 0.4424]	10.9+0.1s
[14400/15960]	[L1: 0.4430]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.34s

Saving...
Total: 0.79s

[Epoch 243]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4462]	11.3+0.6s
[3200/15960]	[L1: 0.4420]	11.0+0.1s
[4800/15960]	[L1: 0.4404]	11.0+0.1s
[6400/15960]	[L1: 0.4414]	10.5+0.1s
[8000/15960]	[L1: 0.4430]	11.1+0.1s
[9600/15960]	[L1: 0.4452]	11.0+0.1s
[11200/15960]	[L1: 0.4452]	11.0+0.1s
[12800/15960]	[L1: 0.4461]	11.0+0.1s
[14400/15960]	[L1: 0.4447]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.71s

[Epoch 244]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4501]	11.2+0.6s
[3200/15960]	[L1: 0.4536]	11.2+0.1s
[4800/15960]	[L1: 0.4537]	11.0+0.1s
[6400/15960]	[L1: 0.4534]	11.0+0.1s
[8000/15960]	[L1: 0.4510]	11.1+0.1s
[9600/15960]	[L1: 0.4502]	11.1+0.1s
[11200/15960]	[L1: 0.4503]	10.9+0.1s
[12800/15960]	[L1: 0.4512]	11.0+0.1s
[14400/15960]	[L1: 0.4508]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 245]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4541]	10.0+0.6s
[3200/15960]	[L1: 0.4538]	10.0+0.1s
[4800/15960]	[L1: 0.4474]	9.6+0.1s
[6400/15960]	[L1: 0.4483]	10.2+0.1s
[8000/15960]	[L1: 0.4463]	10.9+0.1s
[9600/15960]	[L1: 0.4462]	10.9+0.1s
[11200/15960]	[L1: 0.4461]	10.8+0.1s
[12800/15960]	[L1: 0.4461]	10.8+0.1s
[14400/15960]	[L1: 0.4467]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.76s

[Epoch 246]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4530]	10.6+0.6s
[3200/15960]	[L1: 0.4486]	10.0+0.1s
[4800/15960]	[L1: 0.4441]	10.9+0.1s
[6400/15960]	[L1: 0.4476]	11.1+0.1s
[8000/15960]	[L1: 0.4464]	10.7+0.1s
[9600/15960]	[L1: 0.4495]	9.7+0.1s
[11200/15960]	[L1: 0.4491]	9.9+0.1s
[12800/15960]	[L1: 0.4489]	10.3+0.1s
[14400/15960]	[L1: 0.4475]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.79s

[Epoch 247]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4500]	10.4+0.5s
[3200/15960]	[L1: 0.4514]	9.9+0.1s
[4800/15960]	[L1: 0.4512]	9.6+0.1s
[6400/15960]	[L1: 0.4475]	11.0+0.1s
[8000/15960]	[L1: 0.4479]	10.8+0.1s
[9600/15960]	[L1: 0.4453]	11.0+0.1s
[11200/15960]	[L1: 0.4458]	10.8+0.1s
[12800/15960]	[L1: 0.4455]	10.9+0.1s
[14400/15960]	[L1: 0.4466]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.74s

[Epoch 248]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4360]	11.1+0.6s
[3200/15960]	[L1: 0.4412]	10.8+0.1s
[4800/15960]	[L1: 0.4430]	10.9+0.1s
[6400/15960]	[L1: 0.4463]	10.7+0.1s
[8000/15960]	[L1: 0.4460]	10.9+0.1s
[9600/15960]	[L1: 0.4448]	10.8+0.1s
[11200/15960]	[L1: 0.4454]	11.0+0.1s
[12800/15960]	[L1: 0.4447]	10.9+0.1s
[14400/15960]	[L1: 0.4444]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.69s

[Epoch 249]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4444]	11.6+0.6s
[3200/15960]	[L1: 0.4456]	11.2+0.1s
[4800/15960]	[L1: 0.4452]	11.1+0.1s
[6400/15960]	[L1: 0.4471]	10.8+0.1s
[8000/15960]	[L1: 0.4447]	11.3+0.1s
[9600/15960]	[L1: 0.4452]	11.5+0.1s
[11200/15960]	[L1: 0.4451]	11.7+0.1s
[12800/15960]	[L1: 0.4443]	11.3+0.1s
[14400/15960]	[L1: 0.4438]	11.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.85s

[Epoch 250]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4498]	10.4+0.5s
[3200/15960]	[L1: 0.4460]	10.6+0.1s
[4800/15960]	[L1: 0.4473]	10.6+0.1s
[6400/15960]	[L1: 0.4517]	10.4+0.1s
[8000/15960]	[L1: 0.4516]	10.6+0.1s
[9600/15960]	[L1: 0.4503]	10.7+0.1s
[11200/15960]	[L1: 0.4505]	10.7+0.1s
[12800/15960]	[L1: 0.4489]	10.8+0.1s
[14400/15960]	[L1: 0.4473]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.76s

[Epoch 251]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4618]	11.0+0.6s
[3200/15960]	[L1: 0.4515]	10.9+0.1s
[4800/15960]	[L1: 0.4503]	10.1+0.1s
[6400/15960]	[L1: 0.4490]	9.6+0.1s
[8000/15960]	[L1: 0.4493]	9.6+0.1s
[9600/15960]	[L1: 0.4493]	9.8+0.1s
[11200/15960]	[L1: 0.4472]	9.5+0.1s
[12800/15960]	[L1: 0.4472]	9.8+0.1s
[14400/15960]	[L1: 0.4457]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.73s

[Epoch 252]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4431]	9.9+0.5s
[3200/15960]	[L1: 0.4515]	10.5+0.1s
[4800/15960]	[L1: 0.4498]	10.6+0.1s
[6400/15960]	[L1: 0.4504]	10.3+0.1s
[8000/15960]	[L1: 0.4515]	10.1+0.1s
[9600/15960]	[L1: 0.4521]	10.7+0.1s
[11200/15960]	[L1: 0.4504]	10.3+0.1s
[12800/15960]	[L1: 0.4503]	10.6+0.1s
[14400/15960]	[L1: 0.4499]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.77s

[Epoch 253]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4509]	10.0+0.5s
[3200/15960]	[L1: 0.4467]	9.6+0.1s
[4800/15960]	[L1: 0.4453]	10.8+0.1s
[6400/15960]	[L1: 0.4418]	10.5+0.1s
[8000/15960]	[L1: 0.4426]	9.7+0.1s
[9600/15960]	[L1: 0.4416]	9.6+0.1s
[11200/15960]	[L1: 0.4402]	9.9+0.1s
[12800/15960]	[L1: 0.4413]	9.8+0.1s
[14400/15960]	[L1: 0.4407]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.71s

[Epoch 254]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4350]	11.2+0.6s
[3200/15960]	[L1: 0.4403]	10.9+0.1s
[4800/15960]	[L1: 0.4457]	10.9+0.1s
[6400/15960]	[L1: 0.4453]	10.9+0.1s
[8000/15960]	[L1: 0.4459]	11.2+0.1s
[9600/15960]	[L1: 0.4464]	10.9+0.1s
[11200/15960]	[L1: 0.4462]	10.8+0.1s
[12800/15960]	[L1: 0.4453]	10.8+0.1s
[14400/15960]	[L1: 0.4445]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.75s

[Epoch 255]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4503]	11.1+0.6s
[3200/15960]	[L1: 0.4424]	10.7+0.1s
[4800/15960]	[L1: 0.4404]	10.8+0.1s
[6400/15960]	[L1: 0.4402]	10.1+0.1s
[8000/15960]	[L1: 0.4408]	10.3+0.1s
[9600/15960]	[L1: 0.4430]	10.6+0.1s
[11200/15960]	[L1: 0.4432]	11.2+0.1s
[12800/15960]	[L1: 0.4428]	10.9+0.1s
[14400/15960]	[L1: 0.4420]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.78s

[Epoch 256]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4336]	11.3+0.6s
[3200/15960]	[L1: 0.4329]	10.9+0.1s
[4800/15960]	[L1: 0.4373]	10.9+0.1s
[6400/15960]	[L1: 0.4375]	10.9+0.1s
[8000/15960]	[L1: 0.4371]	11.1+0.1s
[9600/15960]	[L1: 0.4376]	10.9+0.1s
[11200/15960]	[L1: 0.4369]	10.7+0.1s
[12800/15960]	[L1: 0.4388]	10.8+0.1s
[14400/15960]	[L1: 0.4404]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.71s

[Epoch 257]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4429]	11.0+0.6s
[3200/15960]	[L1: 0.4442]	11.0+0.1s
[4800/15960]	[L1: 0.4403]	10.7+0.1s
[6400/15960]	[L1: 0.4396]	10.3+0.1s
[8000/15960]	[L1: 0.4390]	10.9+0.1s
[9600/15960]	[L1: 0.4375]	10.7+0.1s
[11200/15960]	[L1: 0.4390]	10.8+0.1s
[12800/15960]	[L1: 0.4396]	10.3+0.1s
[14400/15960]	[L1: 0.4411]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 258]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4328]	10.5+0.6s
[3200/15960]	[L1: 0.4379]	9.9+0.1s
[4800/15960]	[L1: 0.4425]	10.4+0.1s
[6400/15960]	[L1: 0.4417]	9.8+0.1s
[8000/15960]	[L1: 0.4392]	9.9+0.1s
[9600/15960]	[L1: 0.4421]	10.3+0.1s
[11200/15960]	[L1: 0.4409]	10.7+0.1s
[12800/15960]	[L1: 0.4418]	10.6+0.1s
[14400/15960]	[L1: 0.4420]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.79s

[Epoch 259]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4438]	11.1+0.6s
[3200/15960]	[L1: 0.4451]	11.1+0.1s
[4800/15960]	[L1: 0.4430]	11.0+0.1s
[6400/15960]	[L1: 0.4450]	11.0+0.1s
[8000/15960]	[L1: 0.4450]	11.1+0.1s
[9600/15960]	[L1: 0.4429]	10.9+0.1s
[11200/15960]	[L1: 0.4422]	11.1+0.1s
[12800/15960]	[L1: 0.4411]	11.0+0.1s
[14400/15960]	[L1: 0.4424]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.88s

[Epoch 260]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4409]	10.3+0.5s
[3200/15960]	[L1: 0.4399]	10.3+0.1s
[4800/15960]	[L1: 0.4385]	10.9+0.1s
[6400/15960]	[L1: 0.4388]	10.0+0.1s
[8000/15960]	[L1: 0.4424]	11.3+0.1s
[9600/15960]	[L1: 0.4434]	10.9+0.1s
[11200/15960]	[L1: 0.4425]	10.8+0.1s
[12800/15960]	[L1: 0.4410]	10.6+0.1s
[14400/15960]	[L1: 0.4418]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.71s

[Epoch 261]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4418]	11.1+0.6s
[3200/15960]	[L1: 0.4466]	11.1+0.1s
[4800/15960]	[L1: 0.4478]	10.9+0.1s
[6400/15960]	[L1: 0.4495]	10.9+0.1s
[8000/15960]	[L1: 0.4473]	10.9+0.1s
[9600/15960]	[L1: 0.4456]	10.8+0.1s
[11200/15960]	[L1: 0.4455]	10.6+0.1s
[12800/15960]	[L1: 0.4446]	10.7+0.1s
[14400/15960]	[L1: 0.4443]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.71s

[Epoch 262]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4488]	11.0+0.6s
[3200/15960]	[L1: 0.4413]	10.7+0.1s
[4800/15960]	[L1: 0.4419]	10.7+0.1s
[6400/15960]	[L1: 0.4455]	10.7+0.1s
[8000/15960]	[L1: 0.4460]	10.6+0.1s
[9600/15960]	[L1: 0.4457]	10.8+0.1s
[11200/15960]	[L1: 0.4440]	10.9+0.1s
[12800/15960]	[L1: 0.4448]	10.8+0.1s
[14400/15960]	[L1: 0.4453]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.75s

[Epoch 263]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4488]	10.9+0.6s
[3200/15960]	[L1: 0.4473]	10.9+0.1s
[4800/15960]	[L1: 0.4453]	10.8+0.1s
[6400/15960]	[L1: 0.4425]	10.8+0.1s
[8000/15960]	[L1: 0.4407]	10.9+0.1s
[9600/15960]	[L1: 0.4415]	10.8+0.1s
[11200/15960]	[L1: 0.4417]	10.9+0.1s
[12800/15960]	[L1: 0.4413]	10.8+0.1s
[14400/15960]	[L1: 0.4404]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.34s

Saving...
Total: 1.72s

[Epoch 264]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4487]	11.3+0.6s
[3200/15960]	[L1: 0.4469]	11.0+0.1s
[4800/15960]	[L1: 0.4441]	11.2+0.1s
[6400/15960]	[L1: 0.4439]	10.9+0.1s
[8000/15960]	[L1: 0.4432]	10.5+0.1s
[9600/15960]	[L1: 0.4453]	11.1+0.1s
[11200/15960]	[L1: 0.4445]	11.1+0.1s
[12800/15960]	[L1: 0.4456]	11.0+0.1s
[14400/15960]	[L1: 0.4468]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 0.90s

[Epoch 265]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4420]	11.1+0.6s
[3200/15960]	[L1: 0.4383]	10.9+0.1s
[4800/15960]	[L1: 0.4379]	11.0+0.1s
[6400/15960]	[L1: 0.4376]	10.7+0.1s
[8000/15960]	[L1: 0.4374]	10.9+0.1s
[9600/15960]	[L1: 0.4376]	10.9+0.1s
[11200/15960]	[L1: 0.4389]	11.1+0.1s
[12800/15960]	[L1: 0.4399]	10.8+0.1s
[14400/15960]	[L1: 0.4409]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.34s

Saving...
Total: 1.75s

[Epoch 266]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4484]	11.3+0.5s
[3200/15960]	[L1: 0.4413]	11.0+0.1s
[4800/15960]	[L1: 0.4438]	11.1+0.1s
[6400/15960]	[L1: 0.4430]	10.9+0.1s
[8000/15960]	[L1: 0.4421]	10.6+0.1s
[9600/15960]	[L1: 0.4411]	10.5+0.1s
[11200/15960]	[L1: 0.4408]	9.7+0.1s
[12800/15960]	[L1: 0.4430]	10.1+0.1s
[14400/15960]	[L1: 0.4437]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 267]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4460]	11.3+0.5s
[3200/15960]	[L1: 0.4450]	10.9+0.1s
[4800/15960]	[L1: 0.4406]	10.9+0.1s
[6400/15960]	[L1: 0.4435]	11.0+0.1s
[8000/15960]	[L1: 0.4407]	11.1+0.1s
[9600/15960]	[L1: 0.4432]	10.9+0.1s
[11200/15960]	[L1: 0.4433]	10.9+0.1s
[12800/15960]	[L1: 0.4431]	10.9+0.1s
[14400/15960]	[L1: 0.4437]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.71s

[Epoch 268]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4400]	11.5+0.5s
[3200/15960]	[L1: 0.4386]	11.2+0.1s
[4800/15960]	[L1: 0.4356]	11.1+0.1s
[6400/15960]	[L1: 0.4399]	11.4+0.1s
[8000/15960]	[L1: 0.4391]	11.0+0.1s
[9600/15960]	[L1: 0.4405]	11.1+0.1s
[11200/15960]	[L1: 0.4391]	10.6+0.1s
[12800/15960]	[L1: 0.4412]	11.1+0.1s
[14400/15960]	[L1: 0.4424]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.71s

[Epoch 269]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4316]	11.2+0.5s
[3200/15960]	[L1: 0.4302]	10.9+0.1s
[4800/15960]	[L1: 0.4324]	10.9+0.1s
[6400/15960]	[L1: 0.4315]	10.9+0.1s
[8000/15960]	[L1: 0.4331]	10.8+0.1s
[9600/15960]	[L1: 0.4352]	10.3+0.1s
[11200/15960]	[L1: 0.4347]	10.0+0.1s
[12800/15960]	[L1: 0.4352]	9.6+0.1s
[14400/15960]	[L1: 0.4350]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.75s

[Epoch 270]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4330]	10.3+0.5s
[3200/15960]	[L1: 0.4446]	9.7+0.1s
[4800/15960]	[L1: 0.4463]	10.7+0.1s
[6400/15960]	[L1: 0.4474]	10.9+0.1s
[8000/15960]	[L1: 0.4460]	9.8+0.1s
[9600/15960]	[L1: 0.4433]	10.7+0.1s
[11200/15960]	[L1: 0.4431]	9.8+0.1s
[12800/15960]	[L1: 0.4440]	9.9+0.1s
[14400/15960]	[L1: 0.4433]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 271]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4431]	11.1+0.6s
[3200/15960]	[L1: 0.4434]	11.0+0.1s
[4800/15960]	[L1: 0.4442]	10.4+0.1s
[6400/15960]	[L1: 0.4411]	10.8+0.1s
[8000/15960]	[L1: 0.4413]	10.0+0.1s
[9600/15960]	[L1: 0.4408]	10.5+0.1s
[11200/15960]	[L1: 0.4403]	9.6+0.1s
[12800/15960]	[L1: 0.4395]	9.4+0.1s
[14400/15960]	[L1: 0.4410]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.75s

[Epoch 272]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4431]	10.2+0.5s
[3200/15960]	[L1: 0.4516]	10.1+0.1s
[4800/15960]	[L1: 0.4492]	10.1+0.1s
[6400/15960]	[L1: 0.4485]	10.0+0.1s
[8000/15960]	[L1: 0.4490]	10.2+0.1s
[9600/15960]	[L1: 0.4476]	10.4+0.1s
[11200/15960]	[L1: 0.4445]	10.6+0.1s
[12800/15960]	[L1: 0.4434]	11.0+0.1s
[14400/15960]	[L1: 0.4437]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.77s

[Epoch 273]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4436]	11.2+0.6s
[3200/15960]	[L1: 0.4475]	11.1+0.1s
[4800/15960]	[L1: 0.4479]	11.0+0.1s
[6400/15960]	[L1: 0.4472]	11.0+0.1s
[8000/15960]	[L1: 0.4456]	11.0+0.1s
[9600/15960]	[L1: 0.4460]	11.2+0.1s
[11200/15960]	[L1: 0.4465]	11.0+0.1s
[12800/15960]	[L1: 0.4474]	11.0+0.1s
[14400/15960]	[L1: 0.4463]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.80s

[Epoch 274]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4444]	10.6+0.6s
[3200/15960]	[L1: 0.4461]	11.0+0.1s
[4800/15960]	[L1: 0.4446]	10.9+0.1s
[6400/15960]	[L1: 0.4437]	11.1+0.1s
[8000/15960]	[L1: 0.4430]	10.8+0.1s
[9600/15960]	[L1: 0.4429]	10.9+0.1s
[11200/15960]	[L1: 0.4443]	10.9+0.1s
[12800/15960]	[L1: 0.4433]	10.5+0.1s
[14400/15960]	[L1: 0.4427]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.89s

[Epoch 275]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4519]	10.9+0.5s
[3200/15960]	[L1: 0.4447]	9.7+0.1s
[4800/15960]	[L1: 0.4465]	9.7+0.1s
[6400/15960]	[L1: 0.4465]	9.8+0.1s
[8000/15960]	[L1: 0.4444]	9.7+0.1s
[9600/15960]	[L1: 0.4445]	9.8+0.1s
[11200/15960]	[L1: 0.4442]	9.7+0.1s
[12800/15960]	[L1: 0.4415]	10.9+0.1s
[14400/15960]	[L1: 0.4420]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.92s

[Epoch 276]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4415]	11.0+0.6s
[3200/15960]	[L1: 0.4380]	10.8+0.1s
[4800/15960]	[L1: 0.4411]	10.8+0.1s
[6400/15960]	[L1: 0.4387]	10.9+0.1s
[8000/15960]	[L1: 0.4390]	11.0+0.1s
[9600/15960]	[L1: 0.4390]	10.9+0.1s
[11200/15960]	[L1: 0.4410]	10.8+0.1s
[12800/15960]	[L1: 0.4408]	10.8+0.1s
[14400/15960]	[L1: 0.4411]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 277]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4401]	10.9+0.6s
[3200/15960]	[L1: 0.4461]	10.0+0.1s
[4800/15960]	[L1: 0.4437]	9.9+0.1s
[6400/15960]	[L1: 0.4473]	10.6+0.1s
[8000/15960]	[L1: 0.4429]	10.3+0.1s
[9600/15960]	[L1: 0.4407]	10.3+0.1s
[11200/15960]	[L1: 0.4409]	9.9+0.1s
[12800/15960]	[L1: 0.4407]	10.9+0.1s
[14400/15960]	[L1: 0.4389]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.77s

[Epoch 278]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4273]	9.9+0.6s
[3200/15960]	[L1: 0.4351]	11.1+0.1s
[4800/15960]	[L1: 0.4383]	10.0+0.1s
[6400/15960]	[L1: 0.4387]	10.5+0.1s
[8000/15960]	[L1: 0.4387]	10.2+0.1s
[9600/15960]	[L1: 0.4384]	11.0+0.1s
[11200/15960]	[L1: 0.4380]	11.1+0.1s
[12800/15960]	[L1: 0.4377]	9.9+0.1s
[14400/15960]	[L1: 0.4373]	9.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.78s

[Epoch 279]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4392]	11.3+0.6s
[3200/15960]	[L1: 0.4407]	11.0+0.1s
[4800/15960]	[L1: 0.4376]	11.1+0.1s
[6400/15960]	[L1: 0.4387]	10.1+0.1s
[8000/15960]	[L1: 0.4352]	9.7+0.1s
[9600/15960]	[L1: 0.4364]	9.8+0.1s
[11200/15960]	[L1: 0.4365]	10.4+0.1s
[12800/15960]	[L1: 0.4384]	10.3+0.1s
[14400/15960]	[L1: 0.4389]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.34s

Saving...
Total: 1.73s

[Epoch 280]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4436]	11.2+0.6s
[3200/15960]	[L1: 0.4394]	10.8+0.1s
[4800/15960]	[L1: 0.4399]	10.8+0.1s
[6400/15960]	[L1: 0.4380]	10.8+0.1s
[8000/15960]	[L1: 0.4390]	10.9+0.1s
[9600/15960]	[L1: 0.4420]	10.7+0.1s
[11200/15960]	[L1: 0.4418]	10.7+0.1s
[12800/15960]	[L1: 0.4399]	10.7+0.1s
[14400/15960]	[L1: 0.4389]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 281]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4462]	10.0+0.5s
[3200/15960]	[L1: 0.4412]	10.3+0.1s
[4800/15960]	[L1: 0.4422]	10.8+0.1s
[6400/15960]	[L1: 0.4438]	10.9+0.1s
[8000/15960]	[L1: 0.4434]	9.8+0.1s
[9600/15960]	[L1: 0.4424]	9.6+0.1s
[11200/15960]	[L1: 0.4417]	9.6+0.1s
[12800/15960]	[L1: 0.4394]	9.5+0.1s
[14400/15960]	[L1: 0.4399]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.71s

[Epoch 282]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4340]	11.1+0.6s
[3200/15960]	[L1: 0.4333]	10.8+0.1s
[4800/15960]	[L1: 0.4366]	10.7+0.1s
[6400/15960]	[L1: 0.4378]	10.5+0.1s
[8000/15960]	[L1: 0.4351]	10.8+0.1s
[9600/15960]	[L1: 0.4355]	10.9+0.1s
[11200/15960]	[L1: 0.4363]	10.7+0.1s
[12800/15960]	[L1: 0.4369]	10.8+0.1s
[14400/15960]	[L1: 0.4360]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.73s

[Epoch 283]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4304]	11.0+0.6s
[3200/15960]	[L1: 0.4403]	10.9+0.1s
[4800/15960]	[L1: 0.4408]	10.7+0.1s
[6400/15960]	[L1: 0.4420]	10.8+0.1s
[8000/15960]	[L1: 0.4397]	10.7+0.1s
[9600/15960]	[L1: 0.4392]	10.2+0.1s
[11200/15960]	[L1: 0.4377]	10.9+0.1s
[12800/15960]	[L1: 0.4375]	10.4+0.1s
[14400/15960]	[L1: 0.4377]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.34s

Saving...
Total: 1.73s

[Epoch 284]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4482]	11.2+0.6s
[3200/15960]	[L1: 0.4382]	10.8+0.1s
[4800/15960]	[L1: 0.4360]	10.6+0.1s
[6400/15960]	[L1: 0.4358]	10.5+0.1s
[8000/15960]	[L1: 0.4363]	10.7+0.1s
[9600/15960]	[L1: 0.4352]	10.8+0.1s
[11200/15960]	[L1: 0.4351]	11.2+0.1s
[12800/15960]	[L1: 0.4351]	10.8+0.1s
[14400/15960]	[L1: 0.4360]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 285]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4276]	11.1+0.6s
[3200/15960]	[L1: 0.4348]	11.1+0.1s
[4800/15960]	[L1: 0.4344]	11.0+0.1s
[6400/15960]	[L1: 0.4354]	10.9+0.1s
[8000/15960]	[L1: 0.4357]	11.1+0.1s
[9600/15960]	[L1: 0.4361]	11.0+0.1s
[11200/15960]	[L1: 0.4343]	11.1+0.1s
[12800/15960]	[L1: 0.4346]	11.1+0.1s
[14400/15960]	[L1: 0.4360]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.73s

[Epoch 286]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4380]	10.5+0.5s
[3200/15960]	[L1: 0.4399]	10.6+0.1s
[4800/15960]	[L1: 0.4372]	10.3+0.1s
[6400/15960]	[L1: 0.4376]	10.4+0.1s
[8000/15960]	[L1: 0.4355]	10.2+0.1s
[9600/15960]	[L1: 0.4353]	10.3+0.1s
[11200/15960]	[L1: 0.4357]	10.2+0.1s
[12800/15960]	[L1: 0.4356]	10.1+0.1s
[14400/15960]	[L1: 0.4359]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.34s

Saving...
Total: 1.87s

[Epoch 287]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4389]	10.7+0.6s
[3200/15960]	[L1: 0.4466]	10.6+0.1s
[4800/15960]	[L1: 0.4463]	11.0+0.1s
[6400/15960]	[L1: 0.4441]	10.8+0.1s
[8000/15960]	[L1: 0.4413]	10.1+0.1s
[9600/15960]	[L1: 0.4417]	11.0+0.1s
[11200/15960]	[L1: 0.4407]	10.8+0.1s
[12800/15960]	[L1: 0.4395]	11.4+0.1s
[14400/15960]	[L1: 0.4402]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.73s

[Epoch 288]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4567]	10.9+0.6s
[3200/15960]	[L1: 0.4472]	11.2+0.1s
[4800/15960]	[L1: 0.4445]	11.0+0.1s
[6400/15960]	[L1: 0.4410]	11.1+0.1s
[8000/15960]	[L1: 0.4400]	11.0+0.1s
[9600/15960]	[L1: 0.4396]	11.3+0.1s
[11200/15960]	[L1: 0.4389]	11.2+0.1s
[12800/15960]	[L1: 0.4386]	11.1+0.1s
[14400/15960]	[L1: 0.4389]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.89s

[Epoch 289]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4289]	11.2+0.6s
[3200/15960]	[L1: 0.4373]	11.1+0.1s
[4800/15960]	[L1: 0.4355]	11.1+0.1s
[6400/15960]	[L1: 0.4358]	11.5+0.1s
[8000/15960]	[L1: 0.4340]	11.1+0.1s
[9600/15960]	[L1: 0.4341]	11.0+0.1s
[11200/15960]	[L1: 0.4334]	11.1+0.1s
[12800/15960]	[L1: 0.4332]	11.1+0.1s
[14400/15960]	[L1: 0.4338]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.89s

[Epoch 290]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4444]	11.1+0.5s
[3200/15960]	[L1: 0.4416]	11.0+0.1s
[4800/15960]	[L1: 0.4398]	11.1+0.1s
[6400/15960]	[L1: 0.4392]	11.0+0.1s
[8000/15960]	[L1: 0.4381]	11.0+0.1s
[9600/15960]	[L1: 0.4370]	10.6+0.1s
[11200/15960]	[L1: 0.4377]	11.0+0.1s
[12800/15960]	[L1: 0.4372]	11.2+0.1s
[14400/15960]	[L1: 0.4384]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.72s

[Epoch 291]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4395]	9.9+0.6s
[3200/15960]	[L1: 0.4366]	9.6+0.1s
[4800/15960]	[L1: 0.4369]	9.7+0.1s
[6400/15960]	[L1: 0.4354]	9.6+0.1s
[8000/15960]	[L1: 0.4389]	9.7+0.1s
[9600/15960]	[L1: 0.4417]	10.2+0.1s
[11200/15960]	[L1: 0.4410]	10.3+0.1s
[12800/15960]	[L1: 0.4400]	10.0+0.1s
[14400/15960]	[L1: 0.4395]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.78s

[Epoch 292]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4335]	11.1+0.6s
[3200/15960]	[L1: 0.4381]	11.1+0.1s
[4800/15960]	[L1: 0.4377]	10.9+0.1s
[6400/15960]	[L1: 0.4353]	11.0+0.1s
[8000/15960]	[L1: 0.4357]	11.1+0.1s
[9600/15960]	[L1: 0.4371]	11.1+0.1s
[11200/15960]	[L1: 0.4367]	9.9+0.1s
[12800/15960]	[L1: 0.4387]	10.4+0.1s
[14400/15960]	[L1: 0.4380]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.76s

[Epoch 293]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4253]	11.4+0.6s
[3200/15960]	[L1: 0.4261]	11.1+0.1s
[4800/15960]	[L1: 0.4277]	11.0+0.1s
[6400/15960]	[L1: 0.4304]	11.1+0.1s
[8000/15960]	[L1: 0.4348]	11.1+0.1s
[9600/15960]	[L1: 0.4347]	11.0+0.1s
[11200/15960]	[L1: 0.4345]	11.1+0.1s
[12800/15960]	[L1: 0.4354]	10.7+0.1s
[14400/15960]	[L1: 0.4354]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.74s

[Epoch 294]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4443]	10.0+0.5s
[3200/15960]	[L1: 0.4408]	11.1+0.1s
[4800/15960]	[L1: 0.4437]	10.9+0.1s
[6400/15960]	[L1: 0.4411]	10.9+0.1s
[8000/15960]	[L1: 0.4401]	10.9+0.1s
[9600/15960]	[L1: 0.4380]	10.9+0.1s
[11200/15960]	[L1: 0.4378]	10.8+0.1s
[12800/15960]	[L1: 0.4375]	10.9+0.1s
[14400/15960]	[L1: 0.4366]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.34s

Saving...
Total: 0.78s

[Epoch 295]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4392]	11.1+0.6s
[3200/15960]	[L1: 0.4425]	10.6+0.1s
[4800/15960]	[L1: 0.4380]	9.7+0.1s
[6400/15960]	[L1: 0.4349]	9.9+0.1s
[8000/15960]	[L1: 0.4354]	9.8+0.1s
[9600/15960]	[L1: 0.4381]	9.9+0.1s
[11200/15960]	[L1: 0.4364]	10.0+0.1s
[12800/15960]	[L1: 0.4370]	10.3+0.1s
[14400/15960]	[L1: 0.4358]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 296]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4283]	9.6+0.6s
[3200/15960]	[L1: 0.4267]	10.1+0.1s
[4800/15960]	[L1: 0.4291]	10.7+0.1s
[6400/15960]	[L1: 0.4316]	10.7+0.1s
[8000/15960]	[L1: 0.4335]	10.6+0.1s
[9600/15960]	[L1: 0.4340]	10.6+0.1s
[11200/15960]	[L1: 0.4349]	10.7+0.1s
[12800/15960]	[L1: 0.4359]	10.6+0.1s
[14400/15960]	[L1: 0.4375]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 1.75s

[Epoch 297]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4357]	11.3+0.6s
[3200/15960]	[L1: 0.4320]	10.8+0.1s
[4800/15960]	[L1: 0.4352]	11.0+0.1s
[6400/15960]	[L1: 0.4349]	11.0+0.1s
[8000/15960]	[L1: 0.4339]	10.7+0.1s
[9600/15960]	[L1: 0.4358]	9.9+0.1s
[11200/15960]	[L1: 0.4370]	10.0+0.1s
[12800/15960]	[L1: 0.4378]	10.8+0.1s
[14400/15960]	[L1: 0.4390]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.79s

[Epoch 298]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4443]	11.0+0.6s
[3200/15960]	[L1: 0.4387]	11.0+0.1s
[4800/15960]	[L1: 0.4330]	9.7+0.1s
[6400/15960]	[L1: 0.4362]	10.8+0.1s
[8000/15960]	[L1: 0.4370]	11.0+0.1s
[9600/15960]	[L1: 0.4392]	10.7+0.1s
[11200/15960]	[L1: 0.4373]	11.0+0.1s
[12800/15960]	[L1: 0.4381]	10.8+0.1s
[14400/15960]	[L1: 0.4385]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.32s

Saving...
Total: 1.72s

[Epoch 299]	Learning rate: 2.50e-5
[1600/15960]	[L1: 0.4359]	11.1+0.5s
[3200/15960]	[L1: 0.4345]	10.8+0.1s
[4800/15960]	[L1: 0.4344]	11.0+0.1s
[6400/15960]	[L1: 0.4356]	11.1+0.1s
[8000/15960]	[L1: 0.4355]	10.8+0.1s
[9600/15960]	[L1: 0.4348]	10.9+0.1s
[11200/15960]	[L1: 0.4350]	10.9+0.1s
[12800/15960]	[L1: 0.4356]	9.8+0.1s
[14400/15960]	[L1: 0.4355]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: nan (Best: nan @epoch 1)
Forward: 0.33s

Saving...
Total: 0.76s

EWT(
  (DWT): DWT()
  (IWT): IWT()
  (trans): MFAM(
    (conv_first): Conv2d(24, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (patch_embed): PatchEmbed(
      (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    )
    (patch_unembed): PatchUnEmbed()
    (pos_drop): Dropout(p=0.0, inplace=False)
    (layers): ModuleList(
      (0): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): Identity()
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.014)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (1): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.029)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.043)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
      (2): DoublebranchFeatureExtractionBlock(
        (DFEB): DoubleBranchBlock(
          (FIEB): ModuleList(
            (0): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.057)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (1): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.071)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (2): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.086)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
            (3): SwinTransformerBlock(
              (norm1): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (attn): WindowAttention(
                dim=96, window_size=(8, 8), num_heads=6
                (qkv): Linear(in_features=96, out_features=288, bias=True)
                (attn_drop): Dropout(p=0.0, inplace=False)
                (proj): Linear(in_features=96, out_features=96, bias=True)
                (proj_drop): Dropout(p=0.0, inplace=False)
                (softmax): Softmax(dim=-1)
              )
              (drop_path): DropPath(drop_prob=0.100)
              (norm2): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
              (mlp): Mlp(
                (fc1): Linear(in_features=96, out_features=192, bias=True)
                (act): GELU(approximate='none')
                (fc2): Linear(in_features=192, out_features=96, bias=True)
                (drop): Dropout(p=0.0, inplace=False)
              )
            )
          )
          (SIEB): Sequential(
            (0): ResBlock(
              (body): Sequential(
                (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
                (1): ReLU(inplace=True)
                (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
              )
            )
          )
        )
        (conv): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (token_embed): PatchEmbed()
        (token_unembed): PatchUnEmbed()
      )
    )
    (norm): LayerNorm((96,), eps=1e-05, elementwise_affine=True)
    (conv_after_body): ResBlock(
      (body): Sequential(
        (0): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (1): ReLU(inplace=True)
        (2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (conv_last): Conv2d(96, 12, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  )
)
[Epoch 1]	Learning rate: 1.00e-4
[1600/15600]	[L1: 38.8606]	12.8+0.7s
[3200/15600]	[L1: 28.3468]	11.0+0.1s
[4800/15600]	[L1: 23.3180]	11.0+0.1s
[6400/15600]	[L1: 20.3516]	11.0+0.1s
[8000/15600]	[L1: 18.2679]	11.0+0.1s
[9600/15600]	[L1: 16.5213]	11.0+0.1s
[11200/15600]	[L1: 14.9782]	11.1+0.1s
[12800/15600]	[L1: 13.6674]	11.1+0.1s
[14400/15600]	[L1: 12.5963]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 38.615 (Best: 38.615 @epoch 1)
Forward: 64.69s

Saving...
Total: 65.29s

[Epoch 2]	Learning rate: 1.00e-4
[1600/15600]	[L1: 3.7693]	11.0+0.6s
[3200/15600]	[L1: 3.7170]	11.8+0.1s
[4800/15600]	[L1: 3.6269]	10.9+0.1s
[6400/15600]	[L1: 3.5729]	11.3+0.1s
[8000/15600]	[L1: 3.4993]	12.8+0.1s
[9600/15600]	[L1: 3.4520]	11.0+0.1s
[11200/15600]	[L1: 3.3999]	11.1+0.1s
[12800/15600]	[L1: 3.3479]	12.2+0.1s
[14400/15600]	[L1: 3.2995]	12.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 43.030 (Best: 43.030 @epoch 2)
Forward: 60.76s

Saving...
Total: 61.28s

[Epoch 3]	Learning rate: 1.00e-4
[1600/15600]	[L1: 2.7683]	11.2+0.6s
[3200/15600]	[L1: 2.7799]	10.9+0.1s
[4800/15600]	[L1: 2.7844]	12.2+0.1s
[6400/15600]	[L1: 2.7709]	11.1+0.1s
[8000/15600]	[L1: 2.7209]	10.7+0.1s
[9600/15600]	[L1: 2.6915]	11.8+0.1s
[11200/15600]	[L1: 2.6776]	11.1+0.1s
[12800/15600]	[L1: 2.6568]	11.2+0.1s
[14400/15600]	[L1: 2.6281]	11.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 43.301 (Best: 43.301 @epoch 3)
Forward: 60.18s

Saving...
Total: 60.81s

[Epoch 4]	Learning rate: 1.00e-4
[1600/15600]	[L1: 2.4075]	11.7+0.7s
[3200/15600]	[L1: 2.4099]	11.1+0.1s
[4800/15600]	[L1: 2.3713]	11.3+0.1s
[6400/15600]	[L1: 2.3536]	12.1+0.1s
[8000/15600]	[L1: 2.3439]	11.2+0.1s
[9600/15600]	[L1: 2.3309]	11.2+0.1s
[11200/15600]	[L1: 2.3095]	12.4+0.1s
[12800/15600]	[L1: 2.2983]	11.1+0.1s
[14400/15600]	[L1: 2.2804]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 44.695 (Best: 44.695 @epoch 4)
Forward: 60.99s

Saving...
Total: 61.47s

[Epoch 5]	Learning rate: 1.00e-4
[1600/15600]	[L1: 2.1003]	11.5+0.6s
[3200/15600]	[L1: 2.1048]	9.7+0.1s
[4800/15600]	[L1: 2.0923]	10.4+0.1s
[6400/15600]	[L1: 2.0990]	10.9+0.1s
[8000/15600]	[L1: 2.0756]	11.8+0.1s
[9600/15600]	[L1: 2.0850]	10.5+0.1s
[11200/15600]	[L1: 2.0724]	9.7+0.1s
[12800/15600]	[L1: 2.0687]	12.0+0.1s
[14400/15600]	[L1: 2.0562]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 45.200 (Best: 45.200 @epoch 5)
Forward: 63.73s

Saving...
Total: 64.23s

[Epoch 6]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.9312]	9.9+0.6s
[3200/15600]	[L1: 1.9367]	11.0+0.1s
[4800/15600]	[L1: 1.9256]	10.9+0.1s
[6400/15600]	[L1: 1.9163]	10.6+0.1s
[8000/15600]	[L1: 1.9087]	10.7+0.1s
[9600/15600]	[L1: 1.8967]	12.2+0.1s
[11200/15600]	[L1: 1.8817]	10.7+0.1s
[12800/15600]	[L1: 1.8761]	10.7+0.1s
[14400/15600]	[L1: 1.8697]	12.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 45.386 (Best: 45.386 @epoch 6)
Forward: 61.62s

Saving...
Total: 62.16s

[Epoch 7]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.7464]	9.9+0.5s
[3200/15600]	[L1: 1.7443]	9.4+0.1s
[4800/15600]	[L1: 1.7443]	9.4+0.1s
[6400/15600]	[L1: 1.7504]	11.5+0.1s
[8000/15600]	[L1: 1.7402]	10.7+0.1s
[9600/15600]	[L1: 1.7378]	10.6+0.1s
[11200/15600]	[L1: 1.7345]	12.2+0.1s
[12800/15600]	[L1: 1.7256]	9.8+0.1s
[14400/15600]	[L1: 1.7278]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 45.057 (Best: 45.386 @epoch 6)
Forward: 61.60s

Saving...
Total: 62.06s

[Epoch 8]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.7165]	11.0+0.6s
[3200/15600]	[L1: 1.6879]	12.0+0.1s
[4800/15600]	[L1: 1.6901]	10.9+0.1s
[6400/15600]	[L1: 1.6685]	10.9+0.1s
[8000/15600]	[L1: 1.6695]	12.4+0.1s
[9600/15600]	[L1: 1.6569]	11.4+0.1s
[11200/15600]	[L1: 1.6564]	10.8+0.1s
[12800/15600]	[L1: 1.6427]	12.4+0.1s
[14400/15600]	[L1: 1.6364]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 45.847 (Best: 45.847 @epoch 8)
Forward: 60.60s

Saving...
Total: 61.10s

[Epoch 9]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.6121]	11.3+0.6s
[3200/15600]	[L1: 1.5759]	11.3+0.1s
[4800/15600]	[L1: 1.5723]	12.3+0.1s
[6400/15600]	[L1: 1.5867]	11.1+0.1s
[8000/15600]	[L1: 1.5783]	11.1+0.1s
[9600/15600]	[L1: 1.5686]	12.2+0.1s
[11200/15600]	[L1: 1.5620]	10.9+0.1s
[12800/15600]	[L1: 1.5555]	10.5+0.1s
[14400/15600]	[L1: 1.5534]	11.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 46.500 (Best: 46.500 @epoch 9)
Forward: 60.59s

Saving...
Total: 61.24s

[Epoch 10]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.5011]	12.3+0.6s
[3200/15600]	[L1: 1.4827]	10.8+0.1s
[4800/15600]	[L1: 1.4907]	11.1+0.1s
[6400/15600]	[L1: 1.4964]	12.3+0.1s
[8000/15600]	[L1: 1.4850]	10.7+0.1s
[9600/15600]	[L1: 1.4797]	10.9+0.1s
[11200/15600]	[L1: 1.4820]	12.3+0.1s
[12800/15600]	[L1: 1.4748]	10.9+0.1s
[14400/15600]	[L1: 1.4659]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 45.577 (Best: 46.500 @epoch 9)
Forward: 59.49s

Saving...
Total: 59.94s

[Epoch 11]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.4499]	11.1+0.6s
[3200/15600]	[L1: 1.4093]	12.0+0.1s
[4800/15600]	[L1: 1.4017]	10.7+0.1s
[6400/15600]	[L1: 1.3915]	10.8+0.1s
[8000/15600]	[L1: 1.4009]	12.5+0.1s
[9600/15600]	[L1: 1.4003]	11.0+0.1s
[11200/15600]	[L1: 1.4030]	11.3+0.1s
[12800/15600]	[L1: 1.3942]	11.9+0.1s
[14400/15600]	[L1: 1.3949]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 46.941 (Best: 46.941 @epoch 11)
Forward: 59.92s

Saving...
Total: 60.43s

[Epoch 12]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.3767]	10.9+0.6s
[3200/15600]	[L1: 1.3586]	11.7+0.1s
[4800/15600]	[L1: 1.3551]	11.5+0.1s
[6400/15600]	[L1: 1.3685]	11.1+0.1s
[8000/15600]	[L1: 1.3618]	10.9+0.1s
[9600/15600]	[L1: 1.3511]	11.3+0.1s
[11200/15600]	[L1: 1.3443]	9.9+0.1s
[12800/15600]	[L1: 1.3453]	10.2+0.1s
[14400/15600]	[L1: 1.3396]	11.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 45.941 (Best: 46.941 @epoch 11)
Forward: 61.13s

Saving...
Total: 61.59s

[Epoch 13]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.2932]	11.2+0.6s
[3200/15600]	[L1: 1.3008]	10.6+0.1s
[4800/15600]	[L1: 1.2757]	12.0+0.1s
[6400/15600]	[L1: 1.2736]	10.2+0.1s
[8000/15600]	[L1: 1.2756]	10.3+0.1s
[9600/15600]	[L1: 1.2832]	10.4+0.1s
[11200/15600]	[L1: 1.2769]	12.0+0.1s
[12800/15600]	[L1: 1.2635]	10.7+0.1s
[14400/15600]	[L1: 1.2618]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 47.330 (Best: 47.330 @epoch 13)
Forward: 61.34s

Saving...
Total: 61.85s

[Epoch 14]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.2790]	11.8+0.5s
[3200/15600]	[L1: 1.2277]	10.4+0.1s
[4800/15600]	[L1: 1.2326]	10.4+0.1s
[6400/15600]	[L1: 1.2283]	10.8+0.1s
[8000/15600]	[L1: 1.2260]	10.5+0.1s
[9600/15600]	[L1: 1.2277]	10.0+0.1s
[11200/15600]	[L1: 1.2305]	10.2+0.1s
[12800/15600]	[L1: 1.2268]	11.2+0.1s
[14400/15600]	[L1: 1.2223]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 46.399 (Best: 47.330 @epoch 13)
Forward: 63.36s

Saving...
Total: 63.83s

[Epoch 15]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.1544]	10.8+0.7s
[3200/15600]	[L1: 1.1992]	11.1+0.1s
[4800/15600]	[L1: 1.1723]	10.3+0.1s
[6400/15600]	[L1: 1.1846]	9.9+0.1s
[8000/15600]	[L1: 1.1927]	11.0+0.1s
[9600/15600]	[L1: 1.1948]	12.2+0.1s
[11200/15600]	[L1: 1.1864]	10.9+0.1s
[12800/15600]	[L1: 1.1891]	11.0+0.1s
[14400/15600]	[L1: 1.1908]	12.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 47.342 (Best: 47.342 @epoch 15)
Forward: 60.19s

Saving...
Total: 60.69s

[Epoch 16]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.1129]	11.1+0.6s
[3200/15600]	[L1: 1.1167]	11.2+0.1s
[4800/15600]	[L1: 1.1095]	12.6+0.1s
[6400/15600]	[L1: 1.1198]	10.3+0.1s
[8000/15600]	[L1: 1.1148]	10.7+0.1s
[9600/15600]	[L1: 1.1194]	12.2+0.1s
[11200/15600]	[L1: 1.1205]	11.2+0.1s
[12800/15600]	[L1: 1.1183]	11.1+0.1s
[14400/15600]	[L1: 1.1231]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 45.916 (Best: 47.342 @epoch 15)
Forward: 61.54s

Saving...
Total: 62.02s

[Epoch 17]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.1546]	12.5+0.6s
[3200/15600]	[L1: 1.1356]	11.1+0.1s
[4800/15600]	[L1: 1.1351]	10.9+0.1s
[6400/15600]	[L1: 1.1287]	12.4+0.1s
[8000/15600]	[L1: 1.1197]	11.1+0.1s
[9600/15600]	[L1: 1.1139]	11.0+0.1s
[11200/15600]	[L1: 1.1156]	12.3+0.1s
[12800/15600]	[L1: 1.1189]	11.1+0.1s
[14400/15600]	[L1: 1.1171]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 47.541 (Best: 47.541 @epoch 17)
Forward: 62.97s

Saving...
Total: 63.44s

[Epoch 18]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.1029]	11.3+0.6s
[3200/15600]	[L1: 1.0959]	11.6+0.1s
[4800/15600]	[L1: 1.0942]	10.8+0.1s
[6400/15600]	[L1: 1.0923]	10.7+0.1s
[8000/15600]	[L1: 1.0916]	11.9+0.1s
[9600/15600]	[L1: 1.0935]	10.7+0.1s
[11200/15600]	[L1: 1.0864]	10.7+0.1s
[12800/15600]	[L1: 1.0828]	11.7+0.1s
[14400/15600]	[L1: 1.0802]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.013 (Best: 48.013 @epoch 18)
Forward: 62.43s

Saving...
Total: 62.91s

[Epoch 19]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.0629]	11.4+0.5s
[3200/15600]	[L1: 1.0794]	12.0+0.1s
[4800/15600]	[L1: 1.0667]	9.8+0.1s
[6400/15600]	[L1: 1.0783]	9.8+0.1s
[8000/15600]	[L1: 1.0769]	10.7+0.1s
[9600/15600]	[L1: 1.0734]	10.6+0.1s
[11200/15600]	[L1: 1.0658]	9.9+0.1s
[12800/15600]	[L1: 1.0672]	9.1+0.1s
[14400/15600]	[L1: 1.0638]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.402 (Best: 48.402 @epoch 19)
Forward: 63.10s

Saving...
Total: 63.62s

[Epoch 20]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.0655]	11.2+0.7s
[3200/15600]	[L1: 1.0329]	11.2+0.1s
[4800/15600]	[L1: 1.0349]	12.3+0.1s
[6400/15600]	[L1: 1.0391]	11.3+0.1s
[8000/15600]	[L1: 1.0470]	10.7+0.1s
[9600/15600]	[L1: 1.0453]	10.8+0.1s
[11200/15600]	[L1: 1.0463]	12.0+0.1s
[12800/15600]	[L1: 1.0410]	10.8+0.1s
[14400/15600]	[L1: 1.0413]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.049 (Best: 48.402 @epoch 19)
Forward: 59.60s

Saving...
Total: 60.08s

[Epoch 21]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.0601]	11.1+0.6s
[3200/15600]	[L1: 1.0489]	9.7+0.1s
[4800/15600]	[L1: 1.0412]	10.2+0.1s
[6400/15600]	[L1: 1.0423]	10.3+0.1s
[8000/15600]	[L1: 1.0343]	10.8+0.1s
[9600/15600]	[L1: 1.0286]	10.7+0.1s
[11200/15600]	[L1: 1.0252]	10.7+0.1s
[12800/15600]	[L1: 1.0240]	11.3+0.1s
[14400/15600]	[L1: 1.0206]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 47.708 (Best: 48.402 @epoch 19)
Forward: 64.99s

Saving...
Total: 65.46s

[Epoch 22]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.0454]	11.1+0.6s
[3200/15600]	[L1: 1.0465]	12.3+0.1s
[4800/15600]	[L1: 1.0417]	11.2+0.1s
[6400/15600]	[L1: 1.0267]	10.9+0.1s
[8000/15600]	[L1: 1.0272]	12.3+0.1s
[9600/15600]	[L1: 1.0219]	11.2+0.1s
[11200/15600]	[L1: 1.0174]	10.8+0.1s
[12800/15600]	[L1: 1.0175]	12.1+0.1s
[14400/15600]	[L1: 1.0194]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 47.992 (Best: 48.402 @epoch 19)
Forward: 61.84s

Saving...
Total: 62.28s

[Epoch 23]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.9612]	10.9+0.6s
[3200/15600]	[L1: 0.9724]	10.7+0.1s
[4800/15600]	[L1: 0.9760]	11.9+0.1s
[6400/15600]	[L1: 0.9954]	10.8+0.1s
[8000/15600]	[L1: 1.0017]	10.6+0.1s
[9600/15600]	[L1: 0.9954]	12.0+0.1s
[11200/15600]	[L1: 0.9945]	10.9+0.1s
[12800/15600]	[L1: 0.9930]	11.1+0.1s
[14400/15600]	[L1: 0.9914]	12.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 47.628 (Best: 48.402 @epoch 19)
Forward: 62.34s

Saving...
Total: 62.76s

[Epoch 24]	Learning rate: 1.00e-4
[1600/15600]	[L1: 1.0027]	11.2+0.6s
[3200/15600]	[L1: 1.0033]	11.4+0.1s
[4800/15600]	[L1: 0.9895]	11.7+0.1s
[6400/15600]	[L1: 0.9743]	11.0+0.1s
[8000/15600]	[L1: 0.9707]	10.7+0.1s
[9600/15600]	[L1: 0.9756]	11.3+0.1s
[11200/15600]	[L1: 0.9776]	13.1+0.1s
[12800/15600]	[L1: 0.9745]	10.9+0.1s
[14400/15600]	[L1: 0.9740]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.430 (Best: 48.430 @epoch 24)
Forward: 60.17s

Saving...
Total: 60.64s

[Epoch 25]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.9874]	10.9+0.6s
[3200/15600]	[L1: 0.9945]	13.1+0.1s
[4800/15600]	[L1: 0.9822]	10.7+0.1s
[6400/15600]	[L1: 0.9865]	10.7+0.1s
[8000/15600]	[L1: 0.9908]	12.9+0.1s
[9600/15600]	[L1: 0.9861]	10.9+0.1s
[11200/15600]	[L1: 0.9785]	10.8+0.1s
[12800/15600]	[L1: 0.9709]	13.0+0.1s
[14400/15600]	[L1: 0.9711]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.122 (Best: 48.430 @epoch 24)
Forward: 65.01s

Saving...
Total: 65.45s

[Epoch 26]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.9303]	10.9+0.6s
[3200/15600]	[L1: 0.9484]	10.6+0.1s
[4800/15600]	[L1: 0.9299]	12.4+0.1s
[6400/15600]	[L1: 0.9298]	10.5+0.1s
[8000/15600]	[L1: 0.9279]	10.7+0.1s
[9600/15600]	[L1: 0.9315]	10.7+0.1s
[11200/15600]	[L1: 0.9363]	12.8+0.1s
[12800/15600]	[L1: 0.9411]	10.8+0.1s
[14400/15600]	[L1: 0.9460]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.517 (Best: 48.517 @epoch 26)
Forward: 60.50s

Saving...
Total: 60.97s

[Epoch 27]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8961]	10.9+0.6s
[3200/15600]	[L1: 0.9741]	13.2+0.1s
[4800/15600]	[L1: 0.9731]	10.9+0.1s
[6400/15600]	[L1: 0.9568]	10.8+0.1s
[8000/15600]	[L1: 0.9503]	13.0+0.1s
[9600/15600]	[L1: 0.9389]	10.9+0.1s
[11200/15600]	[L1: 0.9391]	11.1+0.1s
[12800/15600]	[L1: 0.9385]	13.0+0.1s
[14400/15600]	[L1: 0.9407]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.803 (Best: 48.803 @epoch 27)
Forward: 61.68s

Saving...
Total: 62.18s

[Epoch 28]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8834]	11.1+0.6s
[3200/15600]	[L1: 0.9078]	10.6+0.1s
[4800/15600]	[L1: 0.9070]	11.4+0.1s
[6400/15600]	[L1: 0.9192]	12.5+0.1s
[8000/15600]	[L1: 0.9132]	10.8+0.1s
[9600/15600]	[L1: 0.9111]	10.7+0.1s
[11200/15600]	[L1: 0.9100]	13.1+0.1s
[12800/15600]	[L1: 0.9110]	10.9+0.1s
[14400/15600]	[L1: 0.9093]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.369 (Best: 48.803 @epoch 27)
Forward: 63.64s

Saving...
Total: 64.07s

[Epoch 29]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.9284]	11.4+0.6s
[3200/15600]	[L1: 0.8915]	12.7+0.1s
[4800/15600]	[L1: 0.9177]	10.9+0.1s
[6400/15600]	[L1: 0.9115]	10.9+0.1s
[8000/15600]	[L1: 0.9196]	13.2+0.1s
[9600/15600]	[L1: 0.9132]	10.8+0.1s
[11200/15600]	[L1: 0.9128]	10.9+0.1s
[12800/15600]	[L1: 0.9136]	13.0+0.1s
[14400/15600]	[L1: 0.9125]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.415 (Best: 49.415 @epoch 29)
Forward: 63.86s

Saving...
Total: 64.35s

[Epoch 30]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8534]	11.3+0.5s
[3200/15600]	[L1: 0.8789]	11.1+0.1s
[4800/15600]	[L1: 0.8598]	12.4+0.1s
[6400/15600]	[L1: 0.8631]	11.4+0.1s
[8000/15600]	[L1: 0.8757]	11.2+0.1s
[9600/15600]	[L1: 0.8860]	12.0+0.1s
[11200/15600]	[L1: 0.8867]	11.0+0.1s
[12800/15600]	[L1: 0.8815]	11.1+0.1s
[14400/15600]	[L1: 0.8834]	12.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.844 (Best: 49.844 @epoch 30)
Forward: 62.70s

Saving...
Total: 63.51s

[Epoch 31]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8767]	12.9+0.7s
[3200/15600]	[L1: 0.9158]	10.8+0.1s
[4800/15600]	[L1: 0.9068]	11.0+0.1s
[6400/15600]	[L1: 0.9012]	12.6+0.1s
[8000/15600]	[L1: 0.8913]	10.8+0.1s
[9600/15600]	[L1: 0.8937]	11.2+0.1s
[11200/15600]	[L1: 0.8989]	13.4+0.1s
[12800/15600]	[L1: 0.8937]	10.2+0.1s
[14400/15600]	[L1: 0.8942]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.667 (Best: 49.844 @epoch 30)
Forward: 63.02s

Saving...
Total: 63.50s

[Epoch 32]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8499]	11.0+0.6s
[3200/15600]	[L1: 0.8597]	12.9+0.1s
[4800/15600]	[L1: 0.8780]	10.8+0.1s
[6400/15600]	[L1: 0.8801]	11.0+0.1s
[8000/15600]	[L1: 0.8791]	12.8+0.1s
[9600/15600]	[L1: 0.8677]	10.5+0.1s
[11200/15600]	[L1: 0.8667]	9.7+0.1s
[12800/15600]	[L1: 0.8767]	10.0+0.1s
[14400/15600]	[L1: 0.8718]	12.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.061 (Best: 50.061 @epoch 32)
Forward: 59.90s

Saving...
Total: 60.71s

[Epoch 33]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8527]	10.8+0.7s
[3200/15600]	[L1: 0.8590]	10.2+0.1s
[4800/15600]	[L1: 0.8727]	10.0+0.1s
[6400/15600]	[L1: 0.8651]	12.3+0.1s
[8000/15600]	[L1: 0.8756]	10.1+0.1s
[9600/15600]	[L1: 0.8803]	10.1+0.1s
[11200/15600]	[L1: 0.8827]	12.0+0.1s
[12800/15600]	[L1: 0.8766]	10.0+0.1s
[14400/15600]	[L1: 0.8764]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.934 (Best: 50.061 @epoch 32)
Forward: 62.12s

Saving...
Total: 62.73s

[Epoch 34]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8632]	10.9+0.7s
[3200/15600]	[L1: 0.8757]	13.0+0.1s
[4800/15600]	[L1: 0.8677]	10.7+0.1s
[6400/15600]	[L1: 0.8598]	10.6+0.1s
[8000/15600]	[L1: 0.8621]	11.9+0.1s
[9600/15600]	[L1: 0.8599]	12.4+0.1s
[11200/15600]	[L1: 0.8642]	10.3+0.1s
[12800/15600]	[L1: 0.8689]	10.0+0.1s
[14400/15600]	[L1: 0.8626]	12.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.471 (Best: 50.061 @epoch 32)
Forward: 62.29s

Saving...
Total: 63.05s

[Epoch 35]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8095]	13.6+0.8s
[3200/15600]	[L1: 0.8557]	11.2+0.1s
[4800/15600]	[L1: 0.8677]	10.7+0.1s
[6400/15600]	[L1: 0.8597]	13.1+0.1s
[8000/15600]	[L1: 0.8508]	11.0+0.1s
[9600/15600]	[L1: 0.8599]	10.9+0.1s
[11200/15600]	[L1: 0.8515]	12.7+0.1s
[12800/15600]	[L1: 0.8505]	11.4+0.1s
[14400/15600]	[L1: 0.8491]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.039 (Best: 50.061 @epoch 32)
Forward: 64.05s

Saving...
Total: 64.55s

[Epoch 36]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8458]	10.3+0.6s
[3200/15600]	[L1: 0.8433]	12.7+0.1s
[4800/15600]	[L1: 0.8546]	11.2+0.1s
[6400/15600]	[L1: 0.8625]	11.1+0.1s
[8000/15600]	[L1: 0.8685]	11.0+0.1s
[9600/15600]	[L1: 0.8684]	13.3+0.1s
[11200/15600]	[L1: 0.8631]	11.0+0.1s
[12800/15600]	[L1: 0.8573]	11.1+0.1s
[14400/15600]	[L1: 0.8536]	12.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 47.943 (Best: 50.061 @epoch 32)
Forward: 60.91s

Saving...
Total: 61.52s

[Epoch 37]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8855]	11.8+0.7s
[3200/15600]	[L1: 0.8482]	10.8+0.1s
[4800/15600]	[L1: 0.8286]	10.9+0.1s
[6400/15600]	[L1: 0.8351]	13.4+0.1s
[8000/15600]	[L1: 0.8310]	11.0+0.1s
[9600/15600]	[L1: 0.8304]	10.9+0.1s
[11200/15600]	[L1: 0.8310]	13.0+0.1s
[12800/15600]	[L1: 0.8336]	11.1+0.1s
[14400/15600]	[L1: 0.8303]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.545 (Best: 50.545 @epoch 37)
Forward: 61.01s

Saving...
Total: 61.54s

[Epoch 38]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8567]	10.9+0.6s
[3200/15600]	[L1: 0.8485]	13.2+0.1s
[4800/15600]	[L1: 0.8263]	10.8+0.1s
[6400/15600]	[L1: 0.8265]	10.7+0.1s
[8000/15600]	[L1: 0.8310]	11.9+0.1s
[9600/15600]	[L1: 0.8263]	11.5+0.1s
[11200/15600]	[L1: 0.8305]	11.1+0.1s
[12800/15600]	[L1: 0.8288]	10.9+0.1s
[14400/15600]	[L1: 0.8307]	13.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.696 (Best: 50.545 @epoch 37)
Forward: 61.54s

Saving...
Total: 62.45s

[Epoch 39]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7925]	13.0+0.7s
[3200/15600]	[L1: 0.8034]	10.9+0.1s
[4800/15600]	[L1: 0.8104]	11.0+0.1s
[6400/15600]	[L1: 0.8107]	13.4+0.1s
[8000/15600]	[L1: 0.8077]	11.1+0.1s
[9600/15600]	[L1: 0.8130]	10.9+0.1s
[11200/15600]	[L1: 0.8112]	13.0+0.1s
[12800/15600]	[L1: 0.8082]	11.0+0.1s
[14400/15600]	[L1: 0.8037]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.213 (Best: 50.545 @epoch 37)
Forward: 62.87s

Saving...
Total: 63.37s

[Epoch 40]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.9074]	11.0+0.6s
[3200/15600]	[L1: 0.9044]	10.0+0.1s
[4800/15600]	[L1: 0.8681]	12.6+0.1s
[6400/15600]	[L1: 0.8449]	10.1+0.1s
[8000/15600]	[L1: 0.8337]	11.4+0.1s
[9600/15600]	[L1: 0.8311]	13.7+0.1s
[11200/15600]	[L1: 0.8314]	10.9+0.1s
[12800/15600]	[L1: 0.8248]	11.1+0.1s
[14400/15600]	[L1: 0.8202]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.351 (Best: 50.545 @epoch 37)
Forward: 61.49s

Saving...
Total: 62.01s

[Epoch 41]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8430]	13.6+0.6s
[3200/15600]	[L1: 0.8397]	11.0+0.1s
[4800/15600]	[L1: 0.8292]	11.1+0.1s
[6400/15600]	[L1: 0.8148]	11.5+0.1s
[8000/15600]	[L1: 0.8197]	12.2+0.1s
[9600/15600]	[L1: 0.8200]	10.8+0.1s
[11200/15600]	[L1: 0.8204]	10.9+0.1s
[12800/15600]	[L1: 0.8193]	13.1+0.1s
[14400/15600]	[L1: 0.8174]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.471 (Best: 50.545 @epoch 37)
Forward: 60.38s

Saving...
Total: 60.85s

[Epoch 42]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7846]	11.0+0.6s
[3200/15600]	[L1: 0.7842]	11.1+0.1s
[4800/15600]	[L1: 0.7898]	13.5+0.1s
[6400/15600]	[L1: 0.7849]	11.0+0.1s
[8000/15600]	[L1: 0.7856]	11.1+0.1s
[9600/15600]	[L1: 0.7886]	13.7+0.1s
[11200/15600]	[L1: 0.7857]	11.0+0.1s
[12800/15600]	[L1: 0.7828]	10.1+0.1s
[14400/15600]	[L1: 0.7829]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.778 (Best: 50.778 @epoch 42)
Forward: 60.77s

Saving...
Total: 61.24s

[Epoch 43]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8601]	12.9+0.6s
[3200/15600]	[L1: 0.8506]	11.1+0.1s
[4800/15600]	[L1: 0.8267]	11.4+0.1s
[6400/15600]	[L1: 0.8189]	13.4+0.1s
[8000/15600]	[L1: 0.8138]	11.2+0.1s
[9600/15600]	[L1: 0.8153]	11.2+0.1s
[11200/15600]	[L1: 0.8197]	11.9+0.1s
[12800/15600]	[L1: 0.8168]	12.7+0.1s
[14400/15600]	[L1: 0.8173]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.043 (Best: 50.778 @epoch 42)
Forward: 64.37s

Saving...
Total: 64.84s

[Epoch 44]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8053]	11.0+0.6s
[3200/15600]	[L1: 0.7927]	13.3+0.1s
[4800/15600]	[L1: 0.7828]	11.1+0.1s
[6400/15600]	[L1: 0.7786]	11.1+0.1s
[8000/15600]	[L1: 0.7875]	10.9+0.1s
[9600/15600]	[L1: 0.7865]	13.3+0.1s
[11200/15600]	[L1: 0.7949]	11.1+0.1s
[12800/15600]	[L1: 0.7957]	10.9+0.1s
[14400/15600]	[L1: 0.7959]	13.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.949 (Best: 50.778 @epoch 42)
Forward: 66.50s

Saving...
Total: 67.08s

[Epoch 45]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8272]	13.0+0.6s
[3200/15600]	[L1: 0.8170]	9.9+0.1s
[4800/15600]	[L1: 0.8088]	10.1+0.1s
[6400/15600]	[L1: 0.8098]	12.9+0.1s
[8000/15600]	[L1: 0.8020]	10.0+0.1s
[9600/15600]	[L1: 0.7946]	10.1+0.1s
[11200/15600]	[L1: 0.7909]	10.1+0.1s
[12800/15600]	[L1: 0.7863]	12.6+0.1s
[14400/15600]	[L1: 0.7807]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.649 (Best: 50.778 @epoch 42)
Forward: 61.54s

Saving...
Total: 61.97s

[Epoch 46]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8158]	11.0+0.5s
[3200/15600]	[L1: 0.7845]	10.6+0.1s
[4800/15600]	[L1: 0.7793]	12.0+0.1s
[6400/15600]	[L1: 0.7878]	10.8+0.1s
[8000/15600]	[L1: 0.7863]	9.6+0.1s
[9600/15600]	[L1: 0.7877]	10.8+0.1s
[11200/15600]	[L1: 0.7868]	9.9+0.1s
[12800/15600]	[L1: 0.7882]	11.1+0.1s
[14400/15600]	[L1: 0.7829]	10.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.021 (Best: 50.778 @epoch 42)
Forward: 61.97s

Saving...
Total: 62.42s

[Epoch 47]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7673]	13.1+0.6s
[3200/15600]	[L1: 0.7614]	11.3+0.1s
[4800/15600]	[L1: 0.7604]	11.0+0.1s
[6400/15600]	[L1: 0.7702]	11.8+0.1s
[8000/15600]	[L1: 0.7750]	10.3+0.1s
[9600/15600]	[L1: 0.7685]	10.2+0.1s
[11200/15600]	[L1: 0.7710]	11.5+0.1s
[12800/15600]	[L1: 0.7698]	9.9+0.1s
[14400/15600]	[L1: 0.7746]	9.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.861 (Best: 50.861 @epoch 47)
Forward: 63.79s

Saving...
Total: 64.28s

[Epoch 48]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7780]	10.6+0.5s
[3200/15600]	[L1: 0.7596]	10.9+0.1s
[4800/15600]	[L1: 0.7625]	9.8+0.1s
[6400/15600]	[L1: 0.7593]	10.7+0.1s
[8000/15600]	[L1: 0.7596]	11.8+0.1s
[9600/15600]	[L1: 0.7669]	10.6+0.1s
[11200/15600]	[L1: 0.7621]	10.9+0.1s
[12800/15600]	[L1: 0.7661]	10.9+0.1s
[14400/15600]	[L1: 0.7693]	12.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.561 (Best: 51.561 @epoch 48)
Forward: 63.21s

Saving...
Total: 63.76s

[Epoch 49]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7473]	11.8+0.7s
[3200/15600]	[L1: 0.7554]	11.1+0.1s
[4800/15600]	[L1: 0.7588]	13.5+0.1s
[6400/15600]	[L1: 0.7625]	9.7+0.1s
[8000/15600]	[L1: 0.7647]	10.5+0.1s
[9600/15600]	[L1: 0.7577]	12.4+0.1s
[11200/15600]	[L1: 0.7560]	11.8+0.1s
[12800/15600]	[L1: 0.7566]	10.9+0.1s
[14400/15600]	[L1: 0.7566]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.298 (Best: 51.561 @epoch 48)
Forward: 59.95s

Saving...
Total: 60.43s

[Epoch 50]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7521]	11.3+0.6s
[3200/15600]	[L1: 0.7641]	13.1+0.1s
[4800/15600]	[L1: 0.7705]	10.9+0.1s
[6400/15600]	[L1: 0.7591]	10.9+0.1s
[8000/15600]	[L1: 0.7539]	13.2+0.1s
[9600/15600]	[L1: 0.7555]	10.9+0.1s
[11200/15600]	[L1: 0.7522]	11.1+0.1s
[12800/15600]	[L1: 0.7532]	13.3+0.1s
[14400/15600]	[L1: 0.7515]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.265 (Best: 51.561 @epoch 48)
Forward: 58.38s

Saving...
Total: 59.12s

[Epoch 51]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7572]	13.4+0.6s
[3200/15600]	[L1: 0.7284]	11.0+0.1s
[4800/15600]	[L1: 0.7369]	11.0+0.1s
[6400/15600]	[L1: 0.7463]	13.1+0.1s
[8000/15600]	[L1: 0.7453]	11.1+0.1s
[9600/15600]	[L1: 0.7554]	11.1+0.1s
[11200/15600]	[L1: 0.7605]	13.3+0.1s
[12800/15600]	[L1: 0.7608]	11.1+0.1s
[14400/15600]	[L1: 0.7544]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 47.573 (Best: 51.561 @epoch 48)
Forward: 63.80s

Saving...
Total: 64.26s

[Epoch 52]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.8290]	11.1+0.6s
[3200/15600]	[L1: 0.7919]	12.1+0.1s
[4800/15600]	[L1: 0.7951]	10.4+0.1s
[6400/15600]	[L1: 0.7733]	10.3+0.1s
[8000/15600]	[L1: 0.7668]	11.4+0.1s
[9600/15600]	[L1: 0.7648]	11.1+0.1s
[11200/15600]	[L1: 0.7693]	10.8+0.1s
[12800/15600]	[L1: 0.7605]	12.2+0.1s
[14400/15600]	[L1: 0.7614]	10.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.202 (Best: 51.561 @epoch 48)
Forward: 65.73s

Saving...
Total: 66.20s

[Epoch 53]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7401]	11.0+0.5s
[3200/15600]	[L1: 0.7217]	10.9+0.1s
[4800/15600]	[L1: 0.7348]	12.2+0.1s
[6400/15600]	[L1: 0.7361]	10.2+0.1s
[8000/15600]	[L1: 0.7353]	9.0+0.1s
[9600/15600]	[L1: 0.7552]	10.3+0.1s
[11200/15600]	[L1: 0.7566]	10.9+0.1s
[12800/15600]	[L1: 0.7580]	10.4+0.1s
[14400/15600]	[L1: 0.7505]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.901 (Best: 51.561 @epoch 48)
Forward: 61.04s

Saving...
Total: 61.52s

[Epoch 54]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7100]	13.0+0.8s
[3200/15600]	[L1: 0.7065]	11.9+0.1s
[4800/15600]	[L1: 0.7238]	11.0+0.1s
[6400/15600]	[L1: 0.7168]	11.1+0.1s
[8000/15600]	[L1: 0.7158]	13.3+0.1s
[9600/15600]	[L1: 0.7111]	11.0+0.1s
[11200/15600]	[L1: 0.7162]	11.1+0.1s
[12800/15600]	[L1: 0.7181]	13.4+0.1s
[14400/15600]	[L1: 0.7215]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.378 (Best: 51.561 @epoch 48)
Forward: 65.21s

Saving...
Total: 65.69s

[Epoch 55]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7753]	10.6+0.6s
[3200/15600]	[L1: 0.7639]	10.8+0.1s
[4800/15600]	[L1: 0.7677]	13.0+0.1s
[6400/15600]	[L1: 0.7557]	11.0+0.1s
[8000/15600]	[L1: 0.7417]	11.1+0.1s
[9600/15600]	[L1: 0.7479]	13.2+0.1s
[11200/15600]	[L1: 0.7437]	11.0+0.1s
[12800/15600]	[L1: 0.7404]	11.0+0.1s
[14400/15600]	[L1: 0.7380]	13.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.864 (Best: 51.561 @epoch 48)
Forward: 59.93s

Saving...
Total: 60.38s

[Epoch 56]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7625]	12.8+0.6s
[3200/15600]	[L1: 0.7400]	10.6+0.1s
[4800/15600]	[L1: 0.7601]	10.4+0.1s
[6400/15600]	[L1: 0.7629]	13.2+0.1s
[8000/15600]	[L1: 0.7590]	10.7+0.1s
[9600/15600]	[L1: 0.7486]	10.4+0.1s
[11200/15600]	[L1: 0.7458]	12.4+0.1s
[12800/15600]	[L1: 0.7431]	10.9+0.1s
[14400/15600]	[L1: 0.7397]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.673 (Best: 51.673 @epoch 56)
Forward: 63.32s

Saving...
Total: 63.81s

[Epoch 57]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6884]	11.4+0.6s
[3200/15600]	[L1: 0.7447]	13.4+0.1s
[4800/15600]	[L1: 0.7436]	10.9+0.1s
[6400/15600]	[L1: 0.7353]	10.9+0.1s
[8000/15600]	[L1: 0.7290]	13.1+0.1s
[9600/15600]	[L1: 0.7229]	11.1+0.1s
[11200/15600]	[L1: 0.7216]	10.8+0.1s
[12800/15600]	[L1: 0.7183]	10.3+0.1s
[14400/15600]	[L1: 0.7170]	12.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.044 (Best: 51.673 @epoch 56)
Forward: 61.93s

Saving...
Total: 62.50s

[Epoch 58]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7335]	11.2+0.6s
[3200/15600]	[L1: 0.7330]	11.1+0.1s
[4800/15600]	[L1: 0.7382]	13.3+0.1s
[6400/15600]	[L1: 0.7389]	10.8+0.1s
[8000/15600]	[L1: 0.7331]	11.6+0.1s
[9600/15600]	[L1: 0.7276]	10.1+0.1s
[11200/15600]	[L1: 0.7200]	13.0+0.1s
[12800/15600]	[L1: 0.7170]	10.5+0.1s
[14400/15600]	[L1: 0.7191]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.391 (Best: 51.673 @epoch 56)
Forward: 60.68s

Saving...
Total: 61.15s

[Epoch 59]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7592]	13.4+0.7s
[3200/15600]	[L1: 0.7341]	10.9+0.1s
[4800/15600]	[L1: 0.7343]	11.1+0.1s
[6400/15600]	[L1: 0.7293]	10.8+0.1s
[8000/15600]	[L1: 0.7283]	12.8+0.1s
[9600/15600]	[L1: 0.7327]	10.0+0.1s
[11200/15600]	[L1: 0.7306]	9.5+0.1s
[12800/15600]	[L1: 0.7284]	12.8+0.1s
[14400/15600]	[L1: 0.7277]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.097 (Best: 52.097 @epoch 59)
Forward: 62.84s

Saving...
Total: 63.34s

[Epoch 60]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6951]	11.0+0.6s
[3200/15600]	[L1: 0.6779]	10.9+0.1s
[4800/15600]	[L1: 0.6959]	12.9+0.1s
[6400/15600]	[L1: 0.7042]	10.7+0.1s
[8000/15600]	[L1: 0.6992]	10.8+0.1s
[9600/15600]	[L1: 0.7065]	11.7+0.1s
[11200/15600]	[L1: 0.7049]	12.6+0.1s
[12800/15600]	[L1: 0.7012]	10.9+0.1s
[14400/15600]	[L1: 0.7030]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.214 (Best: 52.097 @epoch 59)
Forward: 62.15s

Saving...
Total: 62.61s

[Epoch 61]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7339]	13.2+0.6s
[3200/15600]	[L1: 0.7286]	10.9+0.1s
[4800/15600]	[L1: 0.7098]	10.9+0.1s
[6400/15600]	[L1: 0.7114]	12.9+0.1s
[8000/15600]	[L1: 0.7155]	10.9+0.1s
[9600/15600]	[L1: 0.7197]	10.9+0.1s
[11200/15600]	[L1: 0.7156]	13.3+0.1s
[12800/15600]	[L1: 0.7167]	11.1+0.1s
[14400/15600]	[L1: 0.7177]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.332 (Best: 52.097 @epoch 59)
Forward: 65.20s

Saving...
Total: 65.71s

[Epoch 62]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7185]	11.2+0.6s
[3200/15600]	[L1: 0.7334]	12.5+0.1s
[4800/15600]	[L1: 0.7270]	10.8+0.1s
[6400/15600]	[L1: 0.7305]	10.4+0.1s
[8000/15600]	[L1: 0.7267]	12.5+0.1s
[9600/15600]	[L1: 0.7246]	10.8+0.1s
[11200/15600]	[L1: 0.7216]	10.1+0.1s
[12800/15600]	[L1: 0.7178]	10.5+0.1s
[14400/15600]	[L1: 0.7208]	11.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.585 (Best: 52.097 @epoch 59)
Forward: 62.19s

Saving...
Total: 62.69s

[Epoch 63]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7574]	11.6+0.6s
[3200/15600]	[L1: 0.7311]	11.1+0.1s
[4800/15600]	[L1: 0.7255]	13.1+0.1s
[6400/15600]	[L1: 0.7198]	11.1+0.1s
[8000/15600]	[L1: 0.7185]	11.1+0.1s
[9600/15600]	[L1: 0.7133]	11.0+0.1s
[11200/15600]	[L1: 0.7120]	13.8+0.1s
[12800/15600]	[L1: 0.7107]	11.2+0.1s
[14400/15600]	[L1: 0.7090]	11.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.598 (Best: 52.097 @epoch 59)
Forward: 60.97s

Saving...
Total: 61.43s

[Epoch 64]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7118]	12.5+0.6s
[3200/15600]	[L1: 0.7165]	10.7+0.1s
[4800/15600]	[L1: 0.7230]	11.0+0.1s
[6400/15600]	[L1: 0.7163]	10.0+0.1s
[8000/15600]	[L1: 0.7199]	12.6+0.1s
[9600/15600]	[L1: 0.7171]	11.0+0.1s
[11200/15600]	[L1: 0.7137]	11.1+0.1s
[12800/15600]	[L1: 0.7116]	12.4+0.1s
[14400/15600]	[L1: 0.7102]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.206 (Best: 52.097 @epoch 59)
Forward: 64.12s

Saving...
Total: 64.60s

[Epoch 65]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6854]	10.8+0.6s
[3200/15600]	[L1: 0.7088]	10.6+0.1s
[4800/15600]	[L1: 0.6982]	10.7+0.1s
[6400/15600]	[L1: 0.7023]	11.7+0.1s
[8000/15600]	[L1: 0.7040]	10.0+0.1s
[9600/15600]	[L1: 0.7042]	9.5+0.1s
[11200/15600]	[L1: 0.7018]	12.0+0.1s
[12800/15600]	[L1: 0.7049]	10.5+0.1s
[14400/15600]	[L1: 0.7026]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.341 (Best: 52.097 @epoch 59)
Forward: 62.21s

Saving...
Total: 62.70s

[Epoch 66]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6930]	11.3+0.6s
[3200/15600]	[L1: 0.7027]	13.0+0.1s
[4800/15600]	[L1: 0.6915]	10.7+0.1s
[6400/15600]	[L1: 0.7011]	10.7+0.1s
[8000/15600]	[L1: 0.6999]	10.9+0.1s
[9600/15600]	[L1: 0.6985]	12.9+0.1s
[11200/15600]	[L1: 0.6939]	11.0+0.1s
[12800/15600]	[L1: 0.6934]	10.9+0.1s
[14400/15600]	[L1: 0.6932]	13.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.351 (Best: 52.097 @epoch 59)
Forward: 60.87s

Saving...
Total: 61.76s

[Epoch 67]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7177]	11.0+0.7s
[3200/15600]	[L1: 0.7081]	11.3+0.1s
[4800/15600]	[L1: 0.6910]	12.7+0.1s
[6400/15600]	[L1: 0.6957]	11.3+0.1s
[8000/15600]	[L1: 0.6995]	10.8+0.1s
[9600/15600]	[L1: 0.6940]	10.8+0.1s
[11200/15600]	[L1: 0.6954]	13.2+0.1s
[12800/15600]	[L1: 0.6964]	11.1+0.1s
[14400/15600]	[L1: 0.6948]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 48.190 (Best: 52.097 @epoch 59)
Forward: 62.45s

Saving...
Total: 62.94s

[Epoch 68]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7062]	12.4+0.6s
[3200/15600]	[L1: 0.6909]	11.8+0.1s
[4800/15600]	[L1: 0.6930]	10.9+0.1s
[6400/15600]	[L1: 0.6864]	10.8+0.1s
[8000/15600]	[L1: 0.6873]	13.3+0.1s
[9600/15600]	[L1: 0.6847]	11.2+0.1s
[11200/15600]	[L1: 0.6847]	11.0+0.1s
[12800/15600]	[L1: 0.6844]	13.1+0.1s
[14400/15600]	[L1: 0.6854]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.145 (Best: 52.097 @epoch 59)
Forward: 61.97s

Saving...
Total: 62.60s

[Epoch 69]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6645]	11.1+0.6s
[3200/15600]	[L1: 0.6690]	11.0+0.1s
[4800/15600]	[L1: 0.6663]	13.2+0.1s
[6400/15600]	[L1: 0.6859]	10.8+0.1s
[8000/15600]	[L1: 0.6858]	10.7+0.1s
[9600/15600]	[L1: 0.6856]	11.6+0.1s
[11200/15600]	[L1: 0.6848]	10.1+0.1s
[12800/15600]	[L1: 0.6886]	10.1+0.1s
[14400/15600]	[L1: 0.6838]	9.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.390 (Best: 52.097 @epoch 59)
Forward: 63.34s

Saving...
Total: 63.84s

[Epoch 70]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6919]	11.9+0.6s
[3200/15600]	[L1: 0.6787]	10.9+0.1s
[4800/15600]	[L1: 0.6941]	11.1+0.1s
[6400/15600]	[L1: 0.7028]	11.2+0.1s
[8000/15600]	[L1: 0.7064]	11.2+0.1s
[9600/15600]	[L1: 0.7062]	11.1+0.1s
[11200/15600]	[L1: 0.7012]	11.7+0.1s
[12800/15600]	[L1: 0.7009]	11.0+0.1s
[14400/15600]	[L1: 0.6996]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.909 (Best: 52.097 @epoch 59)
Forward: 64.27s

Saving...
Total: 64.78s

[Epoch 71]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6997]	11.1+0.5s
[3200/15600]	[L1: 0.6979]	11.9+0.1s
[4800/15600]	[L1: 0.6933]	11.1+0.1s
[6400/15600]	[L1: 0.6927]	10.9+0.1s
[8000/15600]	[L1: 0.6887]	11.9+0.1s
[9600/15600]	[L1: 0.6846]	11.0+0.1s
[11200/15600]	[L1: 0.6835]	10.8+0.1s
[12800/15600]	[L1: 0.6838]	11.5+0.1s
[14400/15600]	[L1: 0.6874]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.434 (Best: 52.097 @epoch 59)
Forward: 64.12s

Saving...
Total: 64.61s

[Epoch 72]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7221]	9.6+0.5s
[3200/15600]	[L1: 0.6995]	10.7+0.1s
[4800/15600]	[L1: 0.6848]	10.7+0.1s
[6400/15600]	[L1: 0.6791]	11.0+0.1s
[8000/15600]	[L1: 0.6794]	11.9+0.1s
[9600/15600]	[L1: 0.6844]	11.0+0.1s
[11200/15600]	[L1: 0.6858]	11.1+0.1s
[12800/15600]	[L1: 0.6848]	12.2+0.1s
[14400/15600]	[L1: 0.6866]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.054 (Best: 52.097 @epoch 59)
Forward: 61.90s

Saving...
Total: 62.40s

[Epoch 73]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6661]	11.4+0.7s
[3200/15600]	[L1: 0.6712]	10.9+0.1s
[4800/15600]	[L1: 0.6719]	13.1+0.1s
[6400/15600]	[L1: 0.6625]	11.5+0.1s
[8000/15600]	[L1: 0.6639]	11.3+0.1s
[9600/15600]	[L1: 0.6633]	12.7+0.1s
[11200/15600]	[L1: 0.6607]	9.5+0.1s
[12800/15600]	[L1: 0.6673]	10.1+0.1s
[14400/15600]	[L1: 0.6672]	12.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.391 (Best: 52.097 @epoch 59)
Forward: 60.20s

Saving...
Total: 60.70s

[Epoch 74]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.7369]	13.2+0.6s
[3200/15600]	[L1: 0.7012]	10.7+0.1s
[4800/15600]	[L1: 0.6996]	10.8+0.1s
[6400/15600]	[L1: 0.7009]	12.9+0.1s
[8000/15600]	[L1: 0.6954]	10.8+0.1s
[9600/15600]	[L1: 0.6970]	10.9+0.1s
[11200/15600]	[L1: 0.6985]	13.0+0.1s
[12800/15600]	[L1: 0.6956]	11.0+0.1s
[14400/15600]	[L1: 0.6916]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.187 (Best: 52.097 @epoch 59)
Forward: 61.85s

Saving...
Total: 62.37s

[Epoch 75]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6632]	10.7+0.6s
[3200/15600]	[L1: 0.6732]	12.0+0.1s
[4800/15600]	[L1: 0.6737]	9.9+0.1s
[6400/15600]	[L1: 0.6645]	9.6+0.1s
[8000/15600]	[L1: 0.6625]	9.7+0.1s
[9600/15600]	[L1: 0.6643]	12.1+0.1s
[11200/15600]	[L1: 0.6649]	9.8+0.1s
[12800/15600]	[L1: 0.6690]	10.5+0.1s
[14400/15600]	[L1: 0.6676]	12.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 49.757 (Best: 52.097 @epoch 59)
Forward: 59.93s

Saving...
Total: 60.56s

[Epoch 76]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6609]	12.1+0.8s
[3200/15600]	[L1: 0.6701]	11.0+0.1s
[4800/15600]	[L1: 0.6663]	11.1+0.1s
[6400/15600]	[L1: 0.6743]	12.4+0.1s
[8000/15600]	[L1: 0.6719]	9.5+0.1s
[9600/15600]	[L1: 0.6741]	9.6+0.1s
[11200/15600]	[L1: 0.6817]	11.7+0.1s
[12800/15600]	[L1: 0.6781]	11.2+0.1s
[14400/15600]	[L1: 0.6743]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.398 (Best: 52.097 @epoch 59)
Forward: 62.62s

Saving...
Total: 63.17s

[Epoch 77]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6519]	11.5+0.6s
[3200/15600]	[L1: 0.6409]	12.1+0.1s
[4800/15600]	[L1: 0.6483]	11.0+0.1s
[6400/15600]	[L1: 0.6627]	10.9+0.1s
[8000/15600]	[L1: 0.6643]	12.2+0.1s
[9600/15600]	[L1: 0.6646]	11.0+0.1s
[11200/15600]	[L1: 0.6779]	11.0+0.1s
[12800/15600]	[L1: 0.6752]	12.1+0.1s
[14400/15600]	[L1: 0.6760]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.451 (Best: 52.451 @epoch 77)
Forward: 62.47s

Saving...
Total: 63.11s

[Epoch 78]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6436]	11.1+0.5s
[3200/15600]	[L1: 0.6403]	12.0+0.1s
[4800/15600]	[L1: 0.6534]	11.1+0.1s
[6400/15600]	[L1: 0.6568]	10.9+0.1s
[8000/15600]	[L1: 0.6662]	12.0+0.1s
[9600/15600]	[L1: 0.6710]	10.4+0.1s
[11200/15600]	[L1: 0.6763]	10.8+0.1s
[12800/15600]	[L1: 0.6739]	11.7+0.1s
[14400/15600]	[L1: 0.6705]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.305 (Best: 52.451 @epoch 77)
Forward: 60.75s

Saving...
Total: 61.24s

[Epoch 79]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6467]	11.2+0.8s
[3200/15600]	[L1: 0.6605]	12.8+0.1s
[4800/15600]	[L1: 0.6577]	11.2+0.1s
[6400/15600]	[L1: 0.6568]	11.0+0.1s
[8000/15600]	[L1: 0.6590]	11.7+0.1s
[9600/15600]	[L1: 0.6561]	12.2+0.1s
[11200/15600]	[L1: 0.6668]	11.0+0.1s
[12800/15600]	[L1: 0.6683]	11.1+0.1s
[14400/15600]	[L1: 0.6652]	12.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.975 (Best: 52.451 @epoch 77)
Forward: 61.74s

Saving...
Total: 62.23s

[Epoch 80]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6580]	11.2+0.6s
[3200/15600]	[L1: 0.6601]	11.1+0.1s
[4800/15600]	[L1: 0.6652]	12.5+0.1s
[6400/15600]	[L1: 0.6557]	10.9+0.1s
[8000/15600]	[L1: 0.6579]	10.8+0.1s
[9600/15600]	[L1: 0.6571]	10.8+0.1s
[11200/15600]	[L1: 0.6569]	12.8+0.1s
[12800/15600]	[L1: 0.6578]	10.7+0.1s
[14400/15600]	[L1: 0.6586]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.799 (Best: 52.451 @epoch 77)
Forward: 61.80s

Saving...
Total: 62.29s

[Epoch 81]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6913]	13.4+0.7s
[3200/15600]	[L1: 0.6725]	11.0+0.1s
[4800/15600]	[L1: 0.6655]	11.0+0.1s
[6400/15600]	[L1: 0.6665]	13.0+0.1s
[8000/15600]	[L1: 0.6619]	10.2+0.1s
[9600/15600]	[L1: 0.6546]	11.1+0.1s
[11200/15600]	[L1: 0.6577]	12.7+0.1s
[12800/15600]	[L1: 0.6560]	11.2+0.1s
[14400/15600]	[L1: 0.6525]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.214 (Best: 52.451 @epoch 77)
Forward: 61.87s

Saving...
Total: 62.36s

[Epoch 82]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6646]	11.4+0.6s
[3200/15600]	[L1: 0.6558]	12.5+0.1s
[4800/15600]	[L1: 0.6850]	10.8+0.1s
[6400/15600]	[L1: 0.6766]	10.8+0.1s
[8000/15600]	[L1: 0.6790]	12.7+0.1s
[9600/15600]	[L1: 0.6793]	10.8+0.1s
[11200/15600]	[L1: 0.6796]	10.7+0.1s
[12800/15600]	[L1: 0.6760]	11.3+0.1s
[14400/15600]	[L1: 0.6709]	11.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.462 (Best: 52.462 @epoch 82)
Forward: 61.05s

Saving...
Total: 61.57s

[Epoch 83]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6688]	11.1+0.6s
[3200/15600]	[L1: 0.6540]	11.3+0.1s
[4800/15600]	[L1: 0.6574]	10.9+0.1s
[6400/15600]	[L1: 0.6562]	10.5+0.1s
[8000/15600]	[L1: 0.6637]	9.8+0.1s
[9600/15600]	[L1: 0.6699]	9.1+0.1s
[11200/15600]	[L1: 0.6707]	11.6+0.1s
[12800/15600]	[L1: 0.6663]	10.9+0.1s
[14400/15600]	[L1: 0.6662]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.149 (Best: 52.462 @epoch 82)
Forward: 61.91s

Saving...
Total: 62.36s

[Epoch 84]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6871]	12.1+0.5s
[3200/15600]	[L1: 0.6816]	10.9+0.1s
[4800/15600]	[L1: 0.6731]	11.0+0.1s
[6400/15600]	[L1: 0.6776]	12.2+0.1s
[8000/15600]	[L1: 0.6681]	11.0+0.1s
[9600/15600]	[L1: 0.6611]	11.1+0.1s
[11200/15600]	[L1: 0.6550]	11.5+0.1s
[12800/15600]	[L1: 0.6544]	10.6+0.1s
[14400/15600]	[L1: 0.6537]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.857 (Best: 52.462 @epoch 82)
Forward: 64.48s

Saving...
Total: 64.94s

[Epoch 85]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6458]	11.5+0.5s
[3200/15600]	[L1: 0.6737]	10.9+0.1s
[4800/15600]	[L1: 0.6741]	10.9+0.1s
[6400/15600]	[L1: 0.6653]	11.6+0.1s
[8000/15600]	[L1: 0.6649]	11.4+0.1s
[9600/15600]	[L1: 0.6667]	10.8+0.1s
[11200/15600]	[L1: 0.6625]	10.9+0.1s
[12800/15600]	[L1: 0.6618]	11.6+0.1s
[14400/15600]	[L1: 0.6577]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.748 (Best: 52.462 @epoch 82)
Forward: 65.09s

Saving...
Total: 65.59s

[Epoch 86]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6672]	11.0+0.7s
[3200/15600]	[L1: 0.6631]	11.5+0.1s
[4800/15600]	[L1: 0.6672]	10.3+0.1s
[6400/15600]	[L1: 0.6623]	10.4+0.1s
[8000/15600]	[L1: 0.6560]	11.4+0.1s
[9600/15600]	[L1: 0.6510]	10.2+0.1s
[11200/15600]	[L1: 0.6493]	10.3+0.1s
[12800/15600]	[L1: 0.6493]	11.2+0.1s
[14400/15600]	[L1: 0.6525]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.820 (Best: 52.462 @epoch 82)
Forward: 61.32s

Saving...
Total: 61.83s

[Epoch 87]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6501]	11.3+0.7s
[3200/15600]	[L1: 0.6480]	11.0+0.1s
[4800/15600]	[L1: 0.6515]	11.8+0.1s
[6400/15600]	[L1: 0.6483]	10.6+0.1s
[8000/15600]	[L1: 0.6483]	9.6+0.1s
[9600/15600]	[L1: 0.6476]	11.3+0.1s
[11200/15600]	[L1: 0.6416]	10.0+0.1s
[12800/15600]	[L1: 0.6392]	10.7+0.1s
[14400/15600]	[L1: 0.6373]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.259 (Best: 52.462 @epoch 82)
Forward: 63.47s

Saving...
Total: 64.27s

[Epoch 88]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6943]	12.0+0.6s
[3200/15600]	[L1: 0.7176]	10.8+0.1s
[4800/15600]	[L1: 0.6917]	10.5+0.1s
[6400/15600]	[L1: 0.6762]	11.8+0.1s
[8000/15600]	[L1: 0.6722]	10.7+0.1s
[9600/15600]	[L1: 0.6618]	11.0+0.1s
[11200/15600]	[L1: 0.6614]	11.8+0.1s
[12800/15600]	[L1: 0.6606]	11.0+0.1s
[14400/15600]	[L1: 0.6590]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.344 (Best: 52.462 @epoch 82)
Forward: 61.67s

Saving...
Total: 62.12s

[Epoch 89]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6059]	12.4+0.7s
[3200/15600]	[L1: 0.6210]	9.8+0.1s
[4800/15600]	[L1: 0.6255]	9.5+0.1s
[6400/15600]	[L1: 0.6412]	9.7+0.1s
[8000/15600]	[L1: 0.6379]	10.4+0.1s
[9600/15600]	[L1: 0.6369]	10.3+0.1s
[11200/15600]	[L1: 0.6347]	10.0+0.1s
[12800/15600]	[L1: 0.6423]	11.4+0.1s
[14400/15600]	[L1: 0.6489]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.978 (Best: 52.462 @epoch 82)
Forward: 63.72s

Saving...
Total: 64.20s

[Epoch 90]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6095]	11.2+0.6s
[3200/15600]	[L1: 0.6449]	12.1+0.1s
[4800/15600]	[L1: 0.6562]	10.3+0.1s
[6400/15600]	[L1: 0.6534]	10.3+0.1s
[8000/15600]	[L1: 0.6555]	11.4+0.1s
[9600/15600]	[L1: 0.6506]	10.0+0.1s
[11200/15600]	[L1: 0.6500]	10.3+0.1s
[12800/15600]	[L1: 0.6468]	9.8+0.1s
[14400/15600]	[L1: 0.6460]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.535 (Best: 52.462 @epoch 82)
Forward: 63.28s

Saving...
Total: 63.87s

[Epoch 91]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6595]	10.9+0.5s
[3200/15600]	[L1: 0.6195]	10.8+0.1s
[4800/15600]	[L1: 0.6161]	12.0+0.1s
[6400/15600]	[L1: 0.6246]	11.0+0.1s
[8000/15600]	[L1: 0.6229]	11.0+0.1s
[9600/15600]	[L1: 0.6281]	12.0+0.1s
[11200/15600]	[L1: 0.6315]	10.4+0.1s
[12800/15600]	[L1: 0.6299]	10.5+0.1s
[14400/15600]	[L1: 0.6308]	11.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.647 (Best: 52.462 @epoch 82)
Forward: 61.71s

Saving...
Total: 62.18s

[Epoch 92]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6187]	11.2+0.8s
[3200/15600]	[L1: 0.6354]	10.6+0.1s
[4800/15600]	[L1: 0.6405]	11.6+0.1s
[6400/15600]	[L1: 0.6475]	10.4+0.1s
[8000/15600]	[L1: 0.6469]	10.2+0.1s
[9600/15600]	[L1: 0.6465]	11.5+0.1s
[11200/15600]	[L1: 0.6428]	10.3+0.1s
[12800/15600]	[L1: 0.6420]	10.2+0.1s
[14400/15600]	[L1: 0.6440]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.329 (Best: 52.462 @epoch 82)
Forward: 62.07s

Saving...
Total: 62.55s

[Epoch 93]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6760]	11.8+0.7s
[3200/15600]	[L1: 0.6546]	11.0+0.1s
[4800/15600]	[L1: 0.6403]	10.8+0.1s
[6400/15600]	[L1: 0.6448]	11.9+0.1s
[8000/15600]	[L1: 0.6430]	10.8+0.1s
[9600/15600]	[L1: 0.6395]	11.0+0.1s
[11200/15600]	[L1: 0.6428]	12.0+0.1s
[12800/15600]	[L1: 0.6373]	10.8+0.1s
[14400/15600]	[L1: 0.6352]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.697 (Best: 52.697 @epoch 93)
Forward: 62.96s

Saving...
Total: 64.17s

[Epoch 94]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6257]	12.1+0.9s
[3200/15600]	[L1: 0.6263]	10.9+0.1s
[4800/15600]	[L1: 0.6372]	10.7+0.1s
[6400/15600]	[L1: 0.6337]	12.4+0.1s
[8000/15600]	[L1: 0.6380]	10.4+0.1s
[9600/15600]	[L1: 0.6377]	10.1+0.1s
[11200/15600]	[L1: 0.6411]	11.6+0.1s
[12800/15600]	[L1: 0.6358]	10.7+0.1s
[14400/15600]	[L1: 0.6371]	10.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.793 (Best: 52.793 @epoch 94)
Forward: 61.75s

Saving...
Total: 62.30s

[Epoch 95]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6405]	11.2+0.7s
[3200/15600]	[L1: 0.6270]	12.7+0.1s
[4800/15600]	[L1: 0.6390]	11.0+0.1s
[6400/15600]	[L1: 0.6409]	10.9+0.1s
[8000/15600]	[L1: 0.6505]	12.8+0.1s
[9600/15600]	[L1: 0.6442]	11.0+0.1s
[11200/15600]	[L1: 0.6359]	10.9+0.1s
[12800/15600]	[L1: 0.6335]	12.1+0.1s
[14400/15600]	[L1: 0.6337]	11.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.139 (Best: 52.793 @epoch 94)
Forward: 61.87s

Saving...
Total: 62.33s

[Epoch 96]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6445]	10.7+0.6s
[3200/15600]	[L1: 0.6617]	10.4+0.1s
[4800/15600]	[L1: 0.6615]	12.0+0.1s
[6400/15600]	[L1: 0.6539]	11.0+0.1s
[8000/15600]	[L1: 0.6467]	10.9+0.1s
[9600/15600]	[L1: 0.6406]	11.0+0.1s
[11200/15600]	[L1: 0.6404]	10.6+0.1s
[12800/15600]	[L1: 0.6428]	9.3+0.1s
[14400/15600]	[L1: 0.6435]	9.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.810 (Best: 52.810 @epoch 96)
Forward: 61.11s

Saving...
Total: 61.73s

[Epoch 97]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.5977]	11.0+0.7s
[3200/15600]	[L1: 0.6086]	12.6+0.1s
[4800/15600]	[L1: 0.6050]	11.0+0.1s
[6400/15600]	[L1: 0.6167]	10.9+0.1s
[8000/15600]	[L1: 0.6192]	12.8+0.1s
[9600/15600]	[L1: 0.6239]	10.7+0.1s
[11200/15600]	[L1: 0.6231]	9.6+0.1s
[12800/15600]	[L1: 0.6203]	12.0+0.1s
[14400/15600]	[L1: 0.6189]	9.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.939 (Best: 52.810 @epoch 96)
Forward: 61.32s

Saving...
Total: 61.79s

[Epoch 98]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6611]	10.1+0.6s
[3200/15600]	[L1: 0.6491]	9.6+0.1s
[4800/15600]	[L1: 0.6509]	10.7+0.1s
[6400/15600]	[L1: 0.6406]	10.9+0.1s
[8000/15600]	[L1: 0.6434]	10.2+0.1s
[9600/15600]	[L1: 0.6329]	10.0+0.1s
[11200/15600]	[L1: 0.6303]	11.9+0.1s
[12800/15600]	[L1: 0.6279]	11.1+0.1s
[14400/15600]	[L1: 0.6268]	10.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.527 (Best: 52.810 @epoch 96)
Forward: 63.12s

Saving...
Total: 63.58s

[Epoch 99]	Learning rate: 1.00e-4
[1600/15600]	[L1: 0.6462]	10.5+0.6s
[3200/15600]	[L1: 0.6430]	12.1+0.1s
[4800/15600]	[L1: 0.6345]	10.0+0.1s
[6400/15600]	[L1: 0.6368]	10.3+0.1s
[8000/15600]	[L1: 0.6340]	12.7+0.1s
[9600/15600]	[L1: 0.6391]	10.9+0.1s
[11200/15600]	[L1: 0.6382]	10.7+0.1s
[12800/15600]	[L1: 0.6364]	11.7+0.1s
[14400/15600]	[L1: 0.6324]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.404 (Best: 52.810 @epoch 96)
Forward: 65.12s

Saving...
Total: 65.76s

[Epoch 100]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5774]	10.9+0.6s
[3200/15600]	[L1: 0.5675]	11.1+0.1s
[4800/15600]	[L1: 0.5534]	12.3+0.1s
[6400/15600]	[L1: 0.5551]	11.0+0.1s
[8000/15600]	[L1: 0.5528]	11.2+0.1s
[9600/15600]	[L1: 0.5535]	12.1+0.1s
[11200/15600]	[L1: 0.5537]	11.0+0.1s
[12800/15600]	[L1: 0.5510]	10.9+0.1s
[14400/15600]	[L1: 0.5504]	12.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.601 (Best: 53.601 @epoch 100)
Forward: 64.89s

Saving...
Total: 65.45s

[Epoch 101]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5519]	10.7+0.7s
[3200/15600]	[L1: 0.5517]	9.8+0.1s
[4800/15600]	[L1: 0.5497]	9.8+0.1s
[6400/15600]	[L1: 0.5477]	10.9+0.1s
[8000/15600]	[L1: 0.5499]	10.3+0.1s
[9600/15600]	[L1: 0.5472]	10.3+0.1s
[11200/15600]	[L1: 0.5467]	11.2+0.1s
[12800/15600]	[L1: 0.5481]	10.2+0.1s
[14400/15600]	[L1: 0.5461]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 50.826 (Best: 53.601 @epoch 100)
Forward: 62.99s

Saving...
Total: 63.49s

[Epoch 102]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5722]	11.0+0.6s
[3200/15600]	[L1: 0.5539]	10.7+0.1s
[4800/15600]	[L1: 0.5562]	10.0+0.1s
[6400/15600]	[L1: 0.5572]	10.6+0.1s
[8000/15600]	[L1: 0.5546]	9.6+0.1s
[9600/15600]	[L1: 0.5530]	9.8+0.1s
[11200/15600]	[L1: 0.5518]	9.6+0.1s
[12800/15600]	[L1: 0.5540]	10.6+0.1s
[14400/15600]	[L1: 0.5541]	9.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.482 (Best: 53.601 @epoch 100)
Forward: 63.38s

Saving...
Total: 63.86s

[Epoch 103]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5419]	11.2+0.7s
[3200/15600]	[L1: 0.5478]	12.9+0.1s
[4800/15600]	[L1: 0.5492]	10.8+0.1s
[6400/15600]	[L1: 0.5482]	11.1+0.1s
[8000/15600]	[L1: 0.5467]	12.6+0.1s
[9600/15600]	[L1: 0.5454]	11.1+0.1s
[11200/15600]	[L1: 0.5488]	11.0+0.1s
[12800/15600]	[L1: 0.5484]	12.8+0.1s
[14400/15600]	[L1: 0.5478]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.261 (Best: 53.601 @epoch 100)
Forward: 61.61s

Saving...
Total: 62.10s

[Epoch 104]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5557]	10.2+0.6s
[3200/15600]	[L1: 0.5520]	10.2+0.1s
[4800/15600]	[L1: 0.5507]	11.6+0.1s
[6400/15600]	[L1: 0.5422]	10.0+0.1s
[8000/15600]	[L1: 0.5445]	10.0+0.1s
[9600/15600]	[L1: 0.5484]	10.1+0.1s
[11200/15600]	[L1: 0.5508]	11.7+0.1s
[12800/15600]	[L1: 0.5486]	10.0+0.1s
[14400/15600]	[L1: 0.5508]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.597 (Best: 53.601 @epoch 100)
Forward: 61.75s

Saving...
Total: 62.22s

[Epoch 105]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5609]	11.5+0.7s
[3200/15600]	[L1: 0.5495]	13.1+0.1s
[4800/15600]	[L1: 0.5498]	11.1+0.1s
[6400/15600]	[L1: 0.5491]	10.1+0.1s
[8000/15600]	[L1: 0.5490]	12.8+0.1s
[9600/15600]	[L1: 0.5510]	10.9+0.1s
[11200/15600]	[L1: 0.5512]	11.1+0.1s
[12800/15600]	[L1: 0.5492]	13.1+0.1s
[14400/15600]	[L1: 0.5507]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.965 (Best: 53.965 @epoch 105)
Forward: 64.28s

Saving...
Total: 64.84s

[Epoch 106]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5463]	10.9+0.6s
[3200/15600]	[L1: 0.5387]	10.8+0.1s
[4800/15600]	[L1: 0.5404]	12.7+0.1s
[6400/15600]	[L1: 0.5402]	10.9+0.1s
[8000/15600]	[L1: 0.5434]	10.7+0.1s
[9600/15600]	[L1: 0.5424]	12.6+0.1s
[11200/15600]	[L1: 0.5438]	10.9+0.1s
[12800/15600]	[L1: 0.5437]	11.1+0.1s
[14400/15600]	[L1: 0.5445]	12.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.692 (Best: 53.965 @epoch 105)
Forward: 60.49s

Saving...
Total: 60.95s

[Epoch 107]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5426]	13.3+0.7s
[3200/15600]	[L1: 0.5534]	11.2+0.1s
[4800/15600]	[L1: 0.5508]	11.0+0.1s
[6400/15600]	[L1: 0.5536]	13.0+0.1s
[8000/15600]	[L1: 0.5545]	11.1+0.1s
[9600/15600]	[L1: 0.5500]	11.1+0.1s
[11200/15600]	[L1: 0.5501]	12.4+0.1s
[12800/15600]	[L1: 0.5477]	10.2+0.1s
[14400/15600]	[L1: 0.5472]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.428 (Best: 53.965 @epoch 105)
Forward: 59.31s

Saving...
Total: 59.98s

[Epoch 108]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5284]	11.8+0.6s
[3200/15600]	[L1: 0.5400]	11.6+0.1s
[4800/15600]	[L1: 0.5470]	11.0+0.1s
[6400/15600]	[L1: 0.5551]	11.0+0.1s
[8000/15600]	[L1: 0.5515]	12.9+0.1s
[9600/15600]	[L1: 0.5537]	11.0+0.1s
[11200/15600]	[L1: 0.5531]	11.7+0.1s
[12800/15600]	[L1: 0.5517]	12.9+0.1s
[14400/15600]	[L1: 0.5512]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.256 (Best: 53.965 @epoch 105)
Forward: 61.12s

Saving...
Total: 61.61s

[Epoch 109]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5521]	10.5+0.6s
[3200/15600]	[L1: 0.5579]	10.4+0.1s
[4800/15600]	[L1: 0.5559]	11.3+0.1s
[6400/15600]	[L1: 0.5556]	9.7+0.1s
[8000/15600]	[L1: 0.5559]	10.1+0.1s
[9600/15600]	[L1: 0.5538]	12.2+0.1s
[11200/15600]	[L1: 0.5536]	10.8+0.1s
[12800/15600]	[L1: 0.5516]	10.7+0.1s
[14400/15600]	[L1: 0.5502]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.528 (Best: 53.965 @epoch 105)
Forward: 61.35s

Saving...
Total: 61.84s

[Epoch 110]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5426]	13.2+0.7s
[3200/15600]	[L1: 0.5408]	11.3+0.1s
[4800/15600]	[L1: 0.5424]	10.9+0.1s
[6400/15600]	[L1: 0.5433]	13.0+0.1s
[8000/15600]	[L1: 0.5416]	10.8+0.1s
[9600/15600]	[L1: 0.5415]	11.0+0.1s
[11200/15600]	[L1: 0.5401]	13.0+0.1s
[12800/15600]	[L1: 0.5404]	10.5+0.1s
[14400/15600]	[L1: 0.5405]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.914 (Best: 53.965 @epoch 105)
Forward: 62.54s

Saving...
Total: 63.04s

[Epoch 111]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5374]	10.1+0.6s
[3200/15600]	[L1: 0.5345]	11.4+0.1s
[4800/15600]	[L1: 0.5373]	9.9+0.1s
[6400/15600]	[L1: 0.5411]	10.5+0.1s
[8000/15600]	[L1: 0.5402]	9.8+0.1s
[9600/15600]	[L1: 0.5410]	11.3+0.1s
[11200/15600]	[L1: 0.5426]	9.6+0.1s
[12800/15600]	[L1: 0.5416]	9.5+0.1s
[14400/15600]	[L1: 0.5413]	11.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.025 (Best: 54.025 @epoch 111)
Forward: 58.73s

Saving...
Total: 59.24s

[Epoch 112]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5428]	11.6+0.6s
[3200/15600]	[L1: 0.5370]	9.9+0.1s
[4800/15600]	[L1: 0.5441]	9.5+0.1s
[6400/15600]	[L1: 0.5411]	10.3+0.1s
[8000/15600]	[L1: 0.5400]	11.8+0.1s
[9600/15600]	[L1: 0.5378]	10.0+0.1s
[11200/15600]	[L1: 0.5391]	10.6+0.1s
[12800/15600]	[L1: 0.5384]	12.9+0.1s
[14400/15600]	[L1: 0.5403]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.935 (Best: 54.025 @epoch 111)
Forward: 63.08s

Saving...
Total: 63.61s

[Epoch 113]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5291]	11.2+0.6s
[3200/15600]	[L1: 0.5353]	12.1+0.1s
[4800/15600]	[L1: 0.5449]	11.0+0.1s
[6400/15600]	[L1: 0.5446]	11.0+0.1s
[8000/15600]	[L1: 0.5420]	11.4+0.1s
[9600/15600]	[L1: 0.5389]	11.3+0.1s
[11200/15600]	[L1: 0.5381]	10.1+0.1s
[12800/15600]	[L1: 0.5403]	11.1+0.1s
[14400/15600]	[L1: 0.5408]	11.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.737 (Best: 54.025 @epoch 111)
Forward: 63.53s

Saving...
Total: 64.04s

[Epoch 114]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5343]	11.2+0.5s
[3200/15600]	[L1: 0.5512]	11.0+0.1s
[4800/15600]	[L1: 0.5489]	12.2+0.1s
[6400/15600]	[L1: 0.5484]	10.7+0.1s
[8000/15600]	[L1: 0.5454]	11.2+0.1s
[9600/15600]	[L1: 0.5448]	12.0+0.1s
[11200/15600]	[L1: 0.5436]	10.5+0.1s
[12800/15600]	[L1: 0.5429]	10.9+0.1s
[14400/15600]	[L1: 0.5418]	12.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.104 (Best: 54.025 @epoch 111)
Forward: 63.42s

Saving...
Total: 63.93s

[Epoch 115]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5292]	11.3+0.8s
[3200/15600]	[L1: 0.5338]	10.8+0.1s
[4800/15600]	[L1: 0.5353]	12.7+0.1s
[6400/15600]	[L1: 0.5320]	10.8+0.1s
[8000/15600]	[L1: 0.5348]	10.8+0.1s
[9600/15600]	[L1: 0.5362]	11.8+0.1s
[11200/15600]	[L1: 0.5365]	11.8+0.1s
[12800/15600]	[L1: 0.5408]	11.1+0.1s
[14400/15600]	[L1: 0.5390]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.329 (Best: 54.025 @epoch 111)
Forward: 60.03s

Saving...
Total: 60.67s

[Epoch 116]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5501]	12.8+0.6s
[3200/15600]	[L1: 0.5489]	10.9+0.1s
[4800/15600]	[L1: 0.5538]	11.0+0.1s
[6400/15600]	[L1: 0.5484]	12.6+0.1s
[8000/15600]	[L1: 0.5458]	9.9+0.1s
[9600/15600]	[L1: 0.5440]	10.2+0.1s
[11200/15600]	[L1: 0.5416]	10.2+0.1s
[12800/15600]	[L1: 0.5417]	11.5+0.1s
[14400/15600]	[L1: 0.5410]	9.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.918 (Best: 54.025 @epoch 111)
Forward: 61.95s

Saving...
Total: 62.48s

[Epoch 117]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5217]	11.3+0.6s
[3200/15600]	[L1: 0.5385]	11.4+0.1s
[4800/15600]	[L1: 0.5390]	12.8+0.1s
[6400/15600]	[L1: 0.5397]	11.1+0.1s
[8000/15600]	[L1: 0.5418]	11.0+0.1s
[9600/15600]	[L1: 0.5388]	13.0+0.1s
[11200/15600]	[L1: 0.5380]	11.0+0.1s
[12800/15600]	[L1: 0.5387]	11.0+0.1s
[14400/15600]	[L1: 0.5389]	12.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.182 (Best: 54.025 @epoch 111)
Forward: 61.85s

Saving...
Total: 62.34s

[Epoch 118]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5160]	11.5+0.6s
[3200/15600]	[L1: 0.5305]	10.8+0.1s
[4800/15600]	[L1: 0.5343]	11.2+0.1s
[6400/15600]	[L1: 0.5399]	11.7+0.1s
[8000/15600]	[L1: 0.5349]	11.1+0.1s
[9600/15600]	[L1: 0.5374]	11.3+0.1s
[11200/15600]	[L1: 0.5364]	11.5+0.1s
[12800/15600]	[L1: 0.5360]	10.8+0.1s
[14400/15600]	[L1: 0.5365]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.657 (Best: 54.025 @epoch 111)
Forward: 59.42s

Saving...
Total: 59.95s

[Epoch 119]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5256]	11.5+0.7s
[3200/15600]	[L1: 0.5371]	10.2+0.1s
[4800/15600]	[L1: 0.5352]	10.5+0.1s
[6400/15600]	[L1: 0.5349]	12.4+0.1s
[8000/15600]	[L1: 0.5344]	11.2+0.1s
[9600/15600]	[L1: 0.5346]	11.0+0.1s
[11200/15600]	[L1: 0.5349]	12.4+0.1s
[12800/15600]	[L1: 0.5346]	11.5+0.1s
[14400/15600]	[L1: 0.5353]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.779 (Best: 54.025 @epoch 111)
Forward: 63.97s

Saving...
Total: 64.47s

[Epoch 120]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5515]	11.2+0.6s
[3200/15600]	[L1: 0.5477]	12.7+0.1s
[4800/15600]	[L1: 0.5473]	11.2+0.1s
[6400/15600]	[L1: 0.5455]	11.2+0.1s
[8000/15600]	[L1: 0.5424]	12.9+0.1s
[9600/15600]	[L1: 0.5418]	11.2+0.1s
[11200/15600]	[L1: 0.5414]	11.1+0.1s
[12800/15600]	[L1: 0.5388]	12.6+0.1s
[14400/15600]	[L1: 0.5395]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.081 (Best: 54.081 @epoch 120)
Forward: 62.42s

Saving...
Total: 62.95s

[Epoch 121]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5226]	10.4+0.6s
[3200/15600]	[L1: 0.5287]	9.9+0.1s
[4800/15600]	[L1: 0.5301]	11.1+0.1s
[6400/15600]	[L1: 0.5304]	10.5+0.1s
[8000/15600]	[L1: 0.5286]	10.2+0.1s
[9600/15600]	[L1: 0.5285]	11.1+0.1s
[11200/15600]	[L1: 0.5279]	10.1+0.1s
[12800/15600]	[L1: 0.5277]	10.5+0.1s
[14400/15600]	[L1: 0.5283]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.845 (Best: 54.081 @epoch 120)
Forward: 63.37s

Saving...
Total: 63.85s

[Epoch 122]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5315]	12.2+0.8s
[3200/15600]	[L1: 0.5297]	9.8+0.1s
[4800/15600]	[L1: 0.5436]	10.4+0.1s
[6400/15600]	[L1: 0.5379]	11.0+0.1s
[8000/15600]	[L1: 0.5395]	9.6+0.1s
[9600/15600]	[L1: 0.5371]	9.4+0.1s
[11200/15600]	[L1: 0.5363]	11.1+0.1s
[12800/15600]	[L1: 0.5357]	10.3+0.1s
[14400/15600]	[L1: 0.5338]	9.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.478 (Best: 54.081 @epoch 120)
Forward: 62.08s

Saving...
Total: 62.58s

[Epoch 123]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5380]	11.3+0.7s
[3200/15600]	[L1: 0.5364]	12.7+0.1s
[4800/15600]	[L1: 0.5333]	10.8+0.1s
[6400/15600]	[L1: 0.5324]	10.2+0.1s
[8000/15600]	[L1: 0.5313]	11.9+0.1s
[9600/15600]	[L1: 0.5321]	11.0+0.1s
[11200/15600]	[L1: 0.5330]	10.3+0.1s
[12800/15600]	[L1: 0.5338]	10.0+0.1s
[14400/15600]	[L1: 0.5332]	11.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.807 (Best: 54.081 @epoch 120)
Forward: 61.98s

Saving...
Total: 62.48s

[Epoch 124]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5289]	11.4+0.7s
[3200/15600]	[L1: 0.5336]	10.7+0.1s
[4800/15600]	[L1: 0.5302]	12.2+0.1s
[6400/15600]	[L1: 0.5365]	11.8+0.1s
[8000/15600]	[L1: 0.5359]	11.1+0.1s
[9600/15600]	[L1: 0.5341]	10.9+0.1s
[11200/15600]	[L1: 0.5356]	12.2+0.1s
[12800/15600]	[L1: 0.5347]	10.0+0.1s
[14400/15600]	[L1: 0.5342]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.702 (Best: 54.081 @epoch 120)
Forward: 62.46s

Saving...
Total: 62.94s

[Epoch 125]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5253]	12.3+0.6s
[3200/15600]	[L1: 0.5274]	10.9+0.1s
[4800/15600]	[L1: 0.5303]	9.9+0.1s
[6400/15600]	[L1: 0.5293]	11.3+0.1s
[8000/15600]	[L1: 0.5290]	10.3+0.1s
[9600/15600]	[L1: 0.5280]	10.3+0.1s
[11200/15600]	[L1: 0.5255]	10.7+0.1s
[12800/15600]	[L1: 0.5247]	12.2+0.1s
[14400/15600]	[L1: 0.5242]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.135 (Best: 54.081 @epoch 120)
Forward: 62.03s

Saving...
Total: 62.58s

[Epoch 126]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5290]	10.3+0.7s
[3200/15600]	[L1: 0.5242]	10.9+0.1s
[4800/15600]	[L1: 0.5222]	10.8+0.1s
[6400/15600]	[L1: 0.5260]	10.7+0.1s
[8000/15600]	[L1: 0.5260]	10.8+0.1s
[9600/15600]	[L1: 0.5260]	12.8+0.1s
[11200/15600]	[L1: 0.5264]	11.0+0.1s
[12800/15600]	[L1: 0.5239]	10.9+0.1s
[14400/15600]	[L1: 0.5243]	12.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.793 (Best: 54.081 @epoch 120)
Forward: 60.90s

Saving...
Total: 61.83s

[Epoch 127]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5345]	10.9+0.9s
[3200/15600]	[L1: 0.5293]	10.4+0.1s
[4800/15600]	[L1: 0.5281]	10.3+0.1s
[6400/15600]	[L1: 0.5285]	12.3+0.1s
[8000/15600]	[L1: 0.5276]	10.0+0.1s
[9600/15600]	[L1: 0.5292]	9.7+0.1s
[11200/15600]	[L1: 0.5310]	12.3+0.1s
[12800/15600]	[L1: 0.5310]	10.8+0.1s
[14400/15600]	[L1: 0.5326]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.951 (Best: 54.081 @epoch 120)
Forward: 61.34s

Saving...
Total: 61.88s

[Epoch 128]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5438]	11.1+0.7s
[3200/15600]	[L1: 0.5411]	13.0+0.1s
[4800/15600]	[L1: 0.5394]	10.9+0.1s
[6400/15600]	[L1: 0.5329]	11.0+0.1s
[8000/15600]	[L1: 0.5364]	12.3+0.1s
[9600/15600]	[L1: 0.5383]	10.9+0.1s
[11200/15600]	[L1: 0.5366]	10.1+0.1s
[12800/15600]	[L1: 0.5342]	11.9+0.1s
[14400/15600]	[L1: 0.5327]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.611 (Best: 54.081 @epoch 120)
Forward: 61.11s

Saving...
Total: 61.66s

[Epoch 129]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5309]	10.4+0.6s
[3200/15600]	[L1: 0.5397]	10.0+0.1s
[4800/15600]	[L1: 0.5376]	11.4+0.1s
[6400/15600]	[L1: 0.5339]	10.9+0.1s
[8000/15600]	[L1: 0.5363]	9.8+0.1s
[9600/15600]	[L1: 0.5383]	10.7+0.1s
[11200/15600]	[L1: 0.5351]	12.3+0.1s
[12800/15600]	[L1: 0.5328]	10.0+0.1s
[14400/15600]	[L1: 0.5333]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.367 (Best: 54.081 @epoch 120)
Forward: 59.44s

Saving...
Total: 59.91s

[Epoch 130]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5200]	11.2+0.6s
[3200/15600]	[L1: 0.5267]	13.0+0.1s
[4800/15600]	[L1: 0.5297]	11.0+0.1s
[6400/15600]	[L1: 0.5240]	10.5+0.1s
[8000/15600]	[L1: 0.5244]	12.3+0.1s
[9600/15600]	[L1: 0.5278]	11.0+0.1s
[11200/15600]	[L1: 0.5310]	10.5+0.1s
[12800/15600]	[L1: 0.5280]	11.9+0.1s
[14400/15600]	[L1: 0.5280]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.885 (Best: 54.081 @epoch 120)
Forward: 61.80s

Saving...
Total: 62.30s

[Epoch 131]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5242]	10.7+0.6s
[3200/15600]	[L1: 0.5307]	10.0+0.1s
[4800/15600]	[L1: 0.5309]	12.8+0.1s
[6400/15600]	[L1: 0.5310]	10.7+0.1s
[8000/15600]	[L1: 0.5323]	10.9+0.1s
[9600/15600]	[L1: 0.5312]	12.7+0.1s
[11200/15600]	[L1: 0.5310]	10.3+0.1s
[12800/15600]	[L1: 0.5321]	11.1+0.1s
[14400/15600]	[L1: 0.5314]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.858 (Best: 54.081 @epoch 120)
Forward: 58.91s

Saving...
Total: 59.51s

[Epoch 132]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5218]	12.7+0.7s
[3200/15600]	[L1: 0.5163]	10.8+0.1s
[4800/15600]	[L1: 0.5202]	11.0+0.1s
[6400/15600]	[L1: 0.5274]	12.5+0.1s
[8000/15600]	[L1: 0.5277]	11.0+0.1s
[9600/15600]	[L1: 0.5253]	10.7+0.1s
[11200/15600]	[L1: 0.5234]	10.5+0.1s
[12800/15600]	[L1: 0.5223]	12.5+0.1s
[14400/15600]	[L1: 0.5222]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.634 (Best: 54.081 @epoch 120)
Forward: 60.89s

Saving...
Total: 61.41s

[Epoch 133]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4982]	11.2+0.7s
[3200/15600]	[L1: 0.5024]	12.0+0.1s
[4800/15600]	[L1: 0.5070]	9.8+0.1s
[6400/15600]	[L1: 0.5079]	10.0+0.1s
[8000/15600]	[L1: 0.5130]	11.2+0.1s
[9600/15600]	[L1: 0.5144]	13.0+0.1s
[11200/15600]	[L1: 0.5174]	10.7+0.1s
[12800/15600]	[L1: 0.5196]	10.6+0.1s
[14400/15600]	[L1: 0.5219]	12.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.863 (Best: 54.081 @epoch 120)
Forward: 59.11s

Saving...
Total: 59.59s

[Epoch 134]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5283]	11.7+0.6s
[3200/15600]	[L1: 0.5206]	10.7+0.1s
[4800/15600]	[L1: 0.5212]	9.8+0.1s
[6400/15600]	[L1: 0.5218]	11.8+0.1s
[8000/15600]	[L1: 0.5181]	11.1+0.1s
[9600/15600]	[L1: 0.5191]	11.0+0.1s
[11200/15600]	[L1: 0.5191]	12.5+0.1s
[12800/15600]	[L1: 0.5203]	11.0+0.1s
[14400/15600]	[L1: 0.5229]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.964 (Best: 54.081 @epoch 120)
Forward: 63.37s

Saving...
Total: 63.86s

[Epoch 135]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5245]	10.8+0.6s
[3200/15600]	[L1: 0.5214]	12.3+0.1s
[4800/15600]	[L1: 0.5234]	11.0+0.1s
[6400/15600]	[L1: 0.5235]	10.7+0.1s
[8000/15600]	[L1: 0.5253]	10.5+0.1s
[9600/15600]	[L1: 0.5261]	12.8+0.1s
[11200/15600]	[L1: 0.5269]	11.0+0.1s
[12800/15600]	[L1: 0.5264]	11.1+0.1s
[14400/15600]	[L1: 0.5268]	13.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.754 (Best: 54.081 @epoch 120)
Forward: 64.33s

Saving...
Total: 64.85s

[Epoch 136]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5159]	11.3+0.6s
[3200/15600]	[L1: 0.5094]	11.0+0.1s
[4800/15600]	[L1: 0.5116]	12.4+0.1s
[6400/15600]	[L1: 0.5122]	10.3+0.1s
[8000/15600]	[L1: 0.5198]	10.9+0.1s
[9600/15600]	[L1: 0.5214]	12.1+0.1s
[11200/15600]	[L1: 0.5232]	10.8+0.1s
[12800/15600]	[L1: 0.5244]	10.2+0.1s
[14400/15600]	[L1: 0.5255]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.798 (Best: 54.081 @epoch 120)
Forward: 58.63s

Saving...
Total: 59.19s

[Epoch 137]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5164]	12.8+0.7s
[3200/15600]	[L1: 0.5125]	11.0+0.1s
[4800/15600]	[L1: 0.5230]	10.9+0.1s
[6400/15600]	[L1: 0.5245]	12.4+0.1s
[8000/15600]	[L1: 0.5236]	11.3+0.1s
[9600/15600]	[L1: 0.5253]	11.0+0.1s
[11200/15600]	[L1: 0.5251]	11.1+0.1s
[12800/15600]	[L1: 0.5251]	11.8+0.1s
[14400/15600]	[L1: 0.5249]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.116 (Best: 54.116 @epoch 137)
Forward: 59.37s

Saving...
Total: 59.97s

[Epoch 138]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5336]	11.3+0.6s
[3200/15600]	[L1: 0.5257]	12.2+0.1s
[4800/15600]	[L1: 0.5306]	10.4+0.1s
[6400/15600]	[L1: 0.5302]	10.2+0.1s
[8000/15600]	[L1: 0.5301]	11.4+0.1s
[9600/15600]	[L1: 0.5281]	10.1+0.1s
[11200/15600]	[L1: 0.5292]	10.6+0.1s
[12800/15600]	[L1: 0.5286]	11.0+0.1s
[14400/15600]	[L1: 0.5296]	12.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.675 (Best: 54.116 @epoch 137)
Forward: 60.45s

Saving...
Total: 60.98s

[Epoch 139]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5096]	11.1+0.6s
[3200/15600]	[L1: 0.5120]	11.0+0.1s
[4800/15600]	[L1: 0.5184]	12.2+0.1s
[6400/15600]	[L1: 0.5242]	10.7+0.1s
[8000/15600]	[L1: 0.5237]	10.5+0.1s
[9600/15600]	[L1: 0.5234]	11.3+0.1s
[11200/15600]	[L1: 0.5242]	12.1+0.1s
[12800/15600]	[L1: 0.5231]	10.3+0.1s
[14400/15600]	[L1: 0.5215]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.400 (Best: 54.116 @epoch 137)
Forward: 60.87s

Saving...
Total: 61.41s

[Epoch 140]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5305]	13.1+0.6s
[3200/15600]	[L1: 0.5186]	10.9+0.1s
[4800/15600]	[L1: 0.5229]	10.6+0.1s
[6400/15600]	[L1: 0.5217]	12.4+0.1s
[8000/15600]	[L1: 0.5214]	11.1+0.1s
[9600/15600]	[L1: 0.5234]	10.9+0.1s
[11200/15600]	[L1: 0.5240]	12.4+0.1s
[12800/15600]	[L1: 0.5225]	11.5+0.1s
[14400/15600]	[L1: 0.5224]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.013 (Best: 54.116 @epoch 137)
Forward: 60.64s

Saving...
Total: 61.13s

[Epoch 141]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5285]	11.1+0.7s
[3200/15600]	[L1: 0.5196]	12.2+0.1s
[4800/15600]	[L1: 0.5212]	11.0+0.1s
[6400/15600]	[L1: 0.5233]	11.1+0.1s
[8000/15600]	[L1: 0.5228]	12.4+0.1s
[9600/15600]	[L1: 0.5218]	11.1+0.1s
[11200/15600]	[L1: 0.5229]	11.0+0.1s
[12800/15600]	[L1: 0.5238]	11.2+0.1s
[14400/15600]	[L1: 0.5232]	12.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.971 (Best: 54.116 @epoch 137)
Forward: 60.89s

Saving...
Total: 61.39s

[Epoch 142]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5136]	11.1+0.7s
[3200/15600]	[L1: 0.5306]	10.9+0.1s
[4800/15600]	[L1: 0.5269]	12.4+0.1s
[6400/15600]	[L1: 0.5288]	10.9+0.1s
[8000/15600]	[L1: 0.5269]	10.8+0.1s
[9600/15600]	[L1: 0.5265]	11.9+0.1s
[11200/15600]	[L1: 0.5249]	11.7+0.1s
[12800/15600]	[L1: 0.5256]	10.8+0.1s
[14400/15600]	[L1: 0.5253]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 51.869 (Best: 54.116 @epoch 137)
Forward: 58.96s

Saving...
Total: 59.46s

[Epoch 143]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5283]	11.4+0.6s
[3200/15600]	[L1: 0.5268]	10.6+0.1s
[4800/15600]	[L1: 0.5165]	10.8+0.1s
[6400/15600]	[L1: 0.5145]	9.7+0.1s
[8000/15600]	[L1: 0.5168]	12.2+0.1s
[9600/15600]	[L1: 0.5179]	10.8+0.1s
[11200/15600]	[L1: 0.5183]	10.9+0.1s
[12800/15600]	[L1: 0.5175]	12.5+0.1s
[14400/15600]	[L1: 0.5182]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.294 (Best: 54.294 @epoch 143)
Forward: 62.26s

Saving...
Total: 62.79s

[Epoch 144]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5143]	10.4+0.6s
[3200/15600]	[L1: 0.5121]	10.4+0.1s
[4800/15600]	[L1: 0.5145]	12.3+0.1s
[6400/15600]	[L1: 0.5147]	9.7+0.1s
[8000/15600]	[L1: 0.5178]	9.7+0.1s
[9600/15600]	[L1: 0.5251]	11.9+0.1s
[11200/15600]	[L1: 0.5256]	11.1+0.1s
[12800/15600]	[L1: 0.5239]	11.0+0.1s
[14400/15600]	[L1: 0.5226]	12.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.169 (Best: 54.294 @epoch 143)
Forward: 58.99s

Saving...
Total: 59.49s

[Epoch 145]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5166]	12.8+0.7s
[3200/15600]	[L1: 0.5169]	11.2+0.1s
[4800/15600]	[L1: 0.5108]	11.3+0.1s
[6400/15600]	[L1: 0.5094]	12.7+0.1s
[8000/15600]	[L1: 0.5095]	11.1+0.1s
[9600/15600]	[L1: 0.5126]	11.0+0.1s
[11200/15600]	[L1: 0.5147]	12.5+0.1s
[12800/15600]	[L1: 0.5160]	10.9+0.1s
[14400/15600]	[L1: 0.5172]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.112 (Best: 54.294 @epoch 143)
Forward: 59.81s

Saving...
Total: 60.31s

[Epoch 146]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5209]	11.0+0.6s
[3200/15600]	[L1: 0.5143]	12.5+0.1s
[4800/15600]	[L1: 0.5146]	9.5+0.1s
[6400/15600]	[L1: 0.5154]	9.6+0.1s
[8000/15600]	[L1: 0.5186]	12.1+0.1s
[9600/15600]	[L1: 0.5169]	9.8+0.1s
[11200/15600]	[L1: 0.5171]	10.0+0.1s
[12800/15600]	[L1: 0.5193]	11.2+0.1s
[14400/15600]	[L1: 0.5210]	11.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.023 (Best: 54.294 @epoch 143)
Forward: 61.17s

Saving...
Total: 61.70s

[Epoch 147]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4996]	10.3+0.6s
[3200/15600]	[L1: 0.5010]	10.8+0.1s
[4800/15600]	[L1: 0.5044]	12.9+0.1s
[6400/15600]	[L1: 0.5059]	11.3+0.1s
[8000/15600]	[L1: 0.5085]	11.0+0.1s
[9600/15600]	[L1: 0.5074]	12.9+0.1s
[11200/15600]	[L1: 0.5104]	11.1+0.1s
[12800/15600]	[L1: 0.5113]	11.0+0.1s
[14400/15600]	[L1: 0.5139]	11.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.836 (Best: 54.294 @epoch 143)
Forward: 62.00s

Saving...
Total: 62.51s

[Epoch 148]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5138]	12.3+0.6s
[3200/15600]	[L1: 0.5214]	10.4+0.1s
[4800/15600]	[L1: 0.5212]	10.4+0.1s
[6400/15600]	[L1: 0.5278]	10.5+0.1s
[8000/15600]	[L1: 0.5269]	9.3+0.1s
[9600/15600]	[L1: 0.5234]	9.1+0.1s
[11200/15600]	[L1: 0.5214]	9.1+0.1s
[12800/15600]	[L1: 0.5222]	10.7+0.1s
[14400/15600]	[L1: 0.5209]	9.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.796 (Best: 54.294 @epoch 143)
Forward: 61.39s

Saving...
Total: 61.91s

[Epoch 149]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5162]	10.8+0.8s
[3200/15600]	[L1: 0.5126]	11.0+0.1s
[4800/15600]	[L1: 0.5138]	11.8+0.1s
[6400/15600]	[L1: 0.5159]	10.4+0.1s
[8000/15600]	[L1: 0.5136]	11.0+0.1s
[9600/15600]	[L1: 0.5168]	12.7+0.1s
[11200/15600]	[L1: 0.5157]	11.0+0.1s
[12800/15600]	[L1: 0.5185]	11.1+0.1s
[14400/15600]	[L1: 0.5196]	12.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.817 (Best: 54.294 @epoch 143)
Forward: 61.13s

Saving...
Total: 61.62s

[Epoch 150]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5267]	13.3+0.6s
[3200/15600]	[L1: 0.5301]	11.0+0.1s
[4800/15600]	[L1: 0.5254]	11.0+0.1s
[6400/15600]	[L1: 0.5245]	12.9+0.1s
[8000/15600]	[L1: 0.5233]	11.3+0.1s
[9600/15600]	[L1: 0.5252]	11.1+0.1s
[11200/15600]	[L1: 0.5262]	12.7+0.1s
[12800/15600]	[L1: 0.5269]	11.1+0.1s
[14400/15600]	[L1: 0.5249]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.697 (Best: 54.294 @epoch 143)
Forward: 65.75s

Saving...
Total: 66.25s

[Epoch 151]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5229]	13.2+0.6s
[3200/15600]	[L1: 0.5282]	11.0+0.1s
[4800/15600]	[L1: 0.5195]	11.0+0.1s
[6400/15600]	[L1: 0.5169]	12.7+0.1s
[8000/15600]	[L1: 0.5153]	11.1+0.1s
[9600/15600]	[L1: 0.5171]	11.0+0.1s
[11200/15600]	[L1: 0.5160]	12.7+0.1s
[12800/15600]	[L1: 0.5177]	11.0+0.1s
[14400/15600]	[L1: 0.5151]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.283 (Best: 54.294 @epoch 143)
Forward: 63.34s

Saving...
Total: 63.83s

[Epoch 152]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5127]	11.7+0.6s
[3200/15600]	[L1: 0.5056]	10.3+0.1s
[4800/15600]	[L1: 0.5089]	10.6+0.1s
[6400/15600]	[L1: 0.5179]	9.8+0.1s
[8000/15600]	[L1: 0.5160]	10.8+0.1s
[9600/15600]	[L1: 0.5154]	10.0+0.1s
[11200/15600]	[L1: 0.5137]	9.7+0.1s
[12800/15600]	[L1: 0.5172]	11.5+0.1s
[14400/15600]	[L1: 0.5163]	9.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.719 (Best: 54.294 @epoch 143)
Forward: 61.07s

Saving...
Total: 61.58s

[Epoch 153]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5322]	11.0+0.7s
[3200/15600]	[L1: 0.5296]	10.9+0.1s
[4800/15600]	[L1: 0.5211]	12.7+0.1s
[6400/15600]	[L1: 0.5193]	10.8+0.1s
[8000/15600]	[L1: 0.5170]	10.0+0.1s
[9600/15600]	[L1: 0.5170]	11.7+0.1s
[11200/15600]	[L1: 0.5177]	11.7+0.1s
[12800/15600]	[L1: 0.5169]	10.9+0.1s
[14400/15600]	[L1: 0.5176]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.246 (Best: 54.294 @epoch 143)
Forward: 62.40s

Saving...
Total: 62.91s

[Epoch 154]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5152]	12.6+0.7s
[3200/15600]	[L1: 0.5102]	10.9+0.1s
[4800/15600]	[L1: 0.5161]	10.8+0.1s
[6400/15600]	[L1: 0.5139]	12.4+0.1s
[8000/15600]	[L1: 0.5133]	10.9+0.1s
[9600/15600]	[L1: 0.5116]	10.8+0.1s
[11200/15600]	[L1: 0.5117]	12.5+0.1s
[12800/15600]	[L1: 0.5113]	10.8+0.1s
[14400/15600]	[L1: 0.5132]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.692 (Best: 54.294 @epoch 143)
Forward: 60.07s

Saving...
Total: 60.57s

[Epoch 155]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5318]	11.2+0.6s
[3200/15600]	[L1: 0.5153]	12.9+0.1s
[4800/15600]	[L1: 0.5142]	11.0+0.1s
[6400/15600]	[L1: 0.5121]	11.1+0.1s
[8000/15600]	[L1: 0.5129]	12.6+0.1s
[9600/15600]	[L1: 0.5143]	11.1+0.1s
[11200/15600]	[L1: 0.5158]	11.1+0.1s
[12800/15600]	[L1: 0.5177]	12.9+0.1s
[14400/15600]	[L1: 0.5178]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.860 (Best: 54.294 @epoch 143)
Forward: 60.67s

Saving...
Total: 61.18s

[Epoch 156]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5247]	10.4+0.6s
[3200/15600]	[L1: 0.5220]	10.0+0.1s
[4800/15600]	[L1: 0.5260]	12.3+0.1s
[6400/15600]	[L1: 0.5232]	11.0+0.1s
[8000/15600]	[L1: 0.5229]	11.0+0.1s
[9600/15600]	[L1: 0.5223]	10.6+0.1s
[11200/15600]	[L1: 0.5227]	11.1+0.1s
[12800/15600]	[L1: 0.5223]	10.3+0.1s
[14400/15600]	[L1: 0.5214]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.426 (Best: 54.294 @epoch 143)
Forward: 59.59s

Saving...
Total: 60.13s

[Epoch 157]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5048]	13.0+0.7s
[3200/15600]	[L1: 0.5090]	11.1+0.1s
[4800/15600]	[L1: 0.5078]	11.1+0.1s
[6400/15600]	[L1: 0.5133]	12.6+0.1s
[8000/15600]	[L1: 0.5138]	11.1+0.1s
[9600/15600]	[L1: 0.5165]	10.8+0.1s
[11200/15600]	[L1: 0.5187]	10.1+0.1s
[12800/15600]	[L1: 0.5168]	12.9+0.1s
[14400/15600]	[L1: 0.5152]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.021 (Best: 54.294 @epoch 143)
Forward: 61.89s

Saving...
Total: 62.39s

[Epoch 158]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5061]	11.5+0.6s
[3200/15600]	[L1: 0.5094]	12.9+0.1s
[4800/15600]	[L1: 0.5097]	11.1+0.1s
[6400/15600]	[L1: 0.5082]	11.0+0.1s
[8000/15600]	[L1: 0.5074]	12.8+0.1s
[9600/15600]	[L1: 0.5089]	11.1+0.1s
[11200/15600]	[L1: 0.5084]	11.0+0.1s
[12800/15600]	[L1: 0.5096]	12.9+0.1s
[14400/15600]	[L1: 0.5081]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.027 (Best: 54.294 @epoch 143)
Forward: 61.95s

Saving...
Total: 62.68s

[Epoch 159]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5346]	11.1+0.6s
[3200/15600]	[L1: 0.5191]	11.0+0.1s
[4800/15600]	[L1: 0.5194]	12.9+0.1s
[6400/15600]	[L1: 0.5189]	11.0+0.1s
[8000/15600]	[L1: 0.5164]	11.1+0.1s
[9600/15600]	[L1: 0.5151]	12.8+0.1s
[11200/15600]	[L1: 0.5143]	11.0+0.1s
[12800/15600]	[L1: 0.5138]	10.5+0.1s
[14400/15600]	[L1: 0.5134]	12.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.062 (Best: 54.294 @epoch 143)
Forward: 62.26s

Saving...
Total: 62.77s

[Epoch 160]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5120]	12.3+0.6s
[3200/15600]	[L1: 0.5177]	11.0+0.1s
[4800/15600]	[L1: 0.5155]	10.9+0.1s
[6400/15600]	[L1: 0.5146]	12.6+0.1s
[8000/15600]	[L1: 0.5133]	11.1+0.1s
[9600/15600]	[L1: 0.5119]	11.0+0.1s
[11200/15600]	[L1: 0.5140]	12.6+0.1s
[12800/15600]	[L1: 0.5125]	10.7+0.1s
[14400/15600]	[L1: 0.5116]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.116 (Best: 54.294 @epoch 143)
Forward: 60.01s

Saving...
Total: 60.56s

[Epoch 161]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5018]	10.6+0.6s
[3200/15600]	[L1: 0.4954]	11.9+0.1s
[4800/15600]	[L1: 0.5025]	10.1+0.1s
[6400/15600]	[L1: 0.5039]	10.2+0.1s
[8000/15600]	[L1: 0.5061]	11.7+0.1s
[9600/15600]	[L1: 0.5071]	10.3+0.1s
[11200/15600]	[L1: 0.5087]	10.1+0.1s
[12800/15600]	[L1: 0.5084]	10.5+0.1s
[14400/15600]	[L1: 0.5086]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.651 (Best: 54.294 @epoch 143)
Forward: 62.82s

Saving...
Total: 63.51s

[Epoch 162]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5186]	11.1+0.7s
[3200/15600]	[L1: 0.5145]	11.0+0.1s
[4800/15600]	[L1: 0.5164]	11.9+0.1s
[6400/15600]	[L1: 0.5132]	12.1+0.1s
[8000/15600]	[L1: 0.5112]	10.4+0.1s
[9600/15600]	[L1: 0.5141]	10.9+0.1s
[11200/15600]	[L1: 0.5113]	12.7+0.1s
[12800/15600]	[L1: 0.5117]	10.9+0.1s
[14400/15600]	[L1: 0.5118]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.168 (Best: 54.294 @epoch 143)
Forward: 60.78s

Saving...
Total: 61.30s

[Epoch 163]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5070]	13.0+0.6s
[3200/15600]	[L1: 0.5058]	10.8+0.1s
[4800/15600]	[L1: 0.5151]	10.8+0.1s
[6400/15600]	[L1: 0.5172]	11.8+0.1s
[8000/15600]	[L1: 0.5178]	11.2+0.1s
[9600/15600]	[L1: 0.5151]	10.8+0.1s
[11200/15600]	[L1: 0.5149]	10.8+0.1s
[12800/15600]	[L1: 0.5144]	12.2+0.1s
[14400/15600]	[L1: 0.5131]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.008 (Best: 54.294 @epoch 143)
Forward: 63.64s

Saving...
Total: 64.20s

[Epoch 164]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5101]	11.8+0.7s
[3200/15600]	[L1: 0.5077]	12.8+0.1s
[4800/15600]	[L1: 0.5121]	10.3+0.1s
[6400/15600]	[L1: 0.5134]	9.6+0.1s
[8000/15600]	[L1: 0.5120]	11.2+0.1s
[9600/15600]	[L1: 0.5140]	11.8+0.1s
[11200/15600]	[L1: 0.5127]	10.7+0.1s
[12800/15600]	[L1: 0.5114]	10.8+0.1s
[14400/15600]	[L1: 0.5103]	12.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.302 (Best: 54.302 @epoch 164)
Forward: 62.46s

Saving...
Total: 63.03s

[Epoch 165]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4965]	11.1+0.6s
[3200/15600]	[L1: 0.5108]	10.6+0.1s
[4800/15600]	[L1: 0.5110]	11.3+0.1s
[6400/15600]	[L1: 0.5174]	11.5+0.1s
[8000/15600]	[L1: 0.5169]	10.6+0.1s
[9600/15600]	[L1: 0.5124]	10.9+0.1s
[11200/15600]	[L1: 0.5140]	10.6+0.1s
[12800/15600]	[L1: 0.5152]	10.6+0.1s
[14400/15600]	[L1: 0.5138]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.171 (Best: 54.302 @epoch 164)
Forward: 63.02s

Saving...
Total: 63.55s

[Epoch 166]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5008]	11.8+0.5s
[3200/15600]	[L1: 0.5094]	11.1+0.1s
[4800/15600]	[L1: 0.5060]	10.9+0.1s
[6400/15600]	[L1: 0.5037]	11.7+0.1s
[8000/15600]	[L1: 0.5019]	10.9+0.1s
[9600/15600]	[L1: 0.5061]	11.0+0.1s
[11200/15600]	[L1: 0.5071]	11.7+0.1s
[12800/15600]	[L1: 0.5075]	11.0+0.1s
[14400/15600]	[L1: 0.5068]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.235 (Best: 54.302 @epoch 164)
Forward: 63.04s

Saving...
Total: 63.56s

[Epoch 167]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5045]	11.8+0.5s
[3200/15600]	[L1: 0.5105]	11.1+0.1s
[4800/15600]	[L1: 0.5094]	10.9+0.1s
[6400/15600]	[L1: 0.5110]	11.7+0.1s
[8000/15600]	[L1: 0.5102]	11.1+0.1s
[9600/15600]	[L1: 0.5139]	10.3+0.1s
[11200/15600]	[L1: 0.5146]	11.3+0.1s
[12800/15600]	[L1: 0.5134]	10.0+0.1s
[14400/15600]	[L1: 0.5152]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.088 (Best: 54.302 @epoch 164)
Forward: 63.25s

Saving...
Total: 63.79s

[Epoch 168]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5118]	11.9+0.5s
[3200/15600]	[L1: 0.5105]	10.9+0.1s
[4800/15600]	[L1: 0.5108]	10.9+0.1s
[6400/15600]	[L1: 0.5086]	11.4+0.1s
[8000/15600]	[L1: 0.5055]	10.7+0.1s
[9600/15600]	[L1: 0.5097]	11.1+0.1s
[11200/15600]	[L1: 0.5099]	12.0+0.1s
[12800/15600]	[L1: 0.5101]	11.0+0.1s
[14400/15600]	[L1: 0.5103]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 52.753 (Best: 54.302 @epoch 164)
Forward: 62.30s

Saving...
Total: 62.80s

[Epoch 169]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5083]	13.1+0.8s
[3200/15600]	[L1: 0.5058]	10.7+0.1s
[4800/15600]	[L1: 0.5097]	10.7+0.1s
[6400/15600]	[L1: 0.5118]	12.3+0.1s
[8000/15600]	[L1: 0.5075]	11.5+0.1s
[9600/15600]	[L1: 0.5069]	11.1+0.1s
[11200/15600]	[L1: 0.5058]	12.9+0.1s
[12800/15600]	[L1: 0.5047]	9.9+0.1s
[14400/15600]	[L1: 0.5057]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.935 (Best: 54.302 @epoch 164)
Forward: 61.25s

Saving...
Total: 61.77s

[Epoch 170]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5085]	10.1+0.7s
[3200/15600]	[L1: 0.5046]	10.9+0.1s
[4800/15600]	[L1: 0.5029]	9.8+0.1s
[6400/15600]	[L1: 0.5010]	10.1+0.1s
[8000/15600]	[L1: 0.5046]	10.8+0.1s
[9600/15600]	[L1: 0.5034]	12.6+0.1s
[11200/15600]	[L1: 0.5046]	10.8+0.1s
[12800/15600]	[L1: 0.5050]	10.7+0.1s
[14400/15600]	[L1: 0.5065]	12.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.771 (Best: 54.302 @epoch 164)
Forward: 61.90s

Saving...
Total: 62.41s

[Epoch 171]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5197]	10.5+0.6s
[3200/15600]	[L1: 0.5193]	10.8+0.1s
[4800/15600]	[L1: 0.5158]	9.7+0.1s
[6400/15600]	[L1: 0.5099]	12.5+0.1s
[8000/15600]	[L1: 0.5134]	10.8+0.1s
[9600/15600]	[L1: 0.5145]	10.4+0.1s
[11200/15600]	[L1: 0.5125]	12.5+0.1s
[12800/15600]	[L1: 0.5136]	10.9+0.1s
[14400/15600]	[L1: 0.5151]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.353 (Best: 54.353 @epoch 171)
Forward: 61.16s

Saving...
Total: 61.71s

[Epoch 172]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4894]	12.6+0.6s
[3200/15600]	[L1: 0.4997]	11.4+0.1s
[4800/15600]	[L1: 0.4988]	11.0+0.1s
[6400/15600]	[L1: 0.4997]	11.1+0.1s
[8000/15600]	[L1: 0.5047]	12.7+0.1s
[9600/15600]	[L1: 0.5059]	11.0+0.1s
[11200/15600]	[L1: 0.5069]	10.2+0.1s
[12800/15600]	[L1: 0.5058]	11.5+0.1s
[14400/15600]	[L1: 0.5045]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.208 (Best: 54.353 @epoch 171)
Forward: 62.46s

Saving...
Total: 63.01s

[Epoch 173]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5056]	10.6+0.6s
[3200/15600]	[L1: 0.5159]	9.7+0.1s
[4800/15600]	[L1: 0.5126]	11.1+0.1s
[6400/15600]	[L1: 0.5101]	9.4+0.1s
[8000/15600]	[L1: 0.5103]	10.0+0.1s
[9600/15600]	[L1: 0.5092]	12.0+0.1s
[11200/15600]	[L1: 0.5082]	9.4+0.1s
[12800/15600]	[L1: 0.5069]	9.5+0.1s
[14400/15600]	[L1: 0.5066]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.022 (Best: 54.353 @epoch 171)
Forward: 61.22s

Saving...
Total: 61.71s

[Epoch 174]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5067]	11.2+0.6s
[3200/15600]	[L1: 0.5088]	11.4+0.1s
[4800/15600]	[L1: 0.5054]	10.6+0.1s
[6400/15600]	[L1: 0.5071]	11.0+0.1s
[8000/15600]	[L1: 0.5096]	12.6+0.1s
[9600/15600]	[L1: 0.5104]	10.9+0.1s
[11200/15600]	[L1: 0.5108]	10.6+0.1s
[12800/15600]	[L1: 0.5099]	12.0+0.1s
[14400/15600]	[L1: 0.5091]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.744 (Best: 54.353 @epoch 171)
Forward: 62.01s

Saving...
Total: 62.68s

[Epoch 175]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5139]	10.9+0.6s
[3200/15600]	[L1: 0.5021]	10.5+0.1s
[4800/15600]	[L1: 0.5026]	11.7+0.1s
[6400/15600]	[L1: 0.5039]	9.5+0.1s
[8000/15600]	[L1: 0.5001]	9.7+0.1s
[9600/15600]	[L1: 0.5019]	11.1+0.1s
[11200/15600]	[L1: 0.5016]	9.6+0.1s
[12800/15600]	[L1: 0.5052]	9.6+0.1s
[14400/15600]	[L1: 0.5049]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.426 (Best: 54.426 @epoch 175)
Forward: 61.91s

Saving...
Total: 62.45s

[Epoch 176]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4991]	12.5+0.7s
[3200/15600]	[L1: 0.4962]	10.9+0.1s
[4800/15600]	[L1: 0.4957]	10.9+0.1s
[6400/15600]	[L1: 0.4982]	12.5+0.1s
[8000/15600]	[L1: 0.4980]	10.7+0.1s
[9600/15600]	[L1: 0.4957]	10.9+0.1s
[11200/15600]	[L1: 0.4987]	11.0+0.1s
[12800/15600]	[L1: 0.4989]	12.0+0.1s
[14400/15600]	[L1: 0.4987]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.055 (Best: 54.426 @epoch 175)
Forward: 60.35s

Saving...
Total: 60.84s

[Epoch 177]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4922]	10.1+0.6s
[3200/15600]	[L1: 0.5047]	10.1+0.1s
[4800/15600]	[L1: 0.5074]	12.0+0.1s
[6400/15600]	[L1: 0.5142]	11.1+0.1s
[8000/15600]	[L1: 0.5112]	11.0+0.1s
[9600/15600]	[L1: 0.5103]	12.5+0.1s
[11200/15600]	[L1: 0.5071]	11.1+0.1s
[12800/15600]	[L1: 0.5066]	10.9+0.1s
[14400/15600]	[L1: 0.5072]	12.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.179 (Best: 54.426 @epoch 175)
Forward: 61.05s

Saving...
Total: 61.87s

[Epoch 178]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4968]	12.8+0.7s
[3200/15600]	[L1: 0.5016]	11.0+0.1s
[4800/15600]	[L1: 0.4995]	11.0+0.1s
[6400/15600]	[L1: 0.4960]	12.8+0.1s
[8000/15600]	[L1: 0.4983]	11.0+0.1s
[9600/15600]	[L1: 0.4992]	11.0+0.1s
[11200/15600]	[L1: 0.4993]	12.6+0.1s
[12800/15600]	[L1: 0.5000]	11.1+0.1s
[14400/15600]	[L1: 0.4988]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.439 (Best: 54.439 @epoch 178)
Forward: 59.22s

Saving...
Total: 59.76s

[Epoch 179]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5030]	10.8+0.6s
[3200/15600]	[L1: 0.5094]	11.9+0.1s
[4800/15600]	[L1: 0.5058]	10.5+0.1s
[6400/15600]	[L1: 0.5112]	10.4+0.1s
[8000/15600]	[L1: 0.5080]	12.5+0.1s
[9600/15600]	[L1: 0.5072]	11.0+0.1s
[11200/15600]	[L1: 0.5061]	10.8+0.1s
[12800/15600]	[L1: 0.5052]	12.7+0.1s
[14400/15600]	[L1: 0.5071]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.605 (Best: 54.439 @epoch 178)
Forward: 61.76s

Saving...
Total: 62.25s

[Epoch 180]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4983]	11.2+0.6s
[3200/15600]	[L1: 0.4965]	10.5+0.1s
[4800/15600]	[L1: 0.4946]	11.2+0.1s
[6400/15600]	[L1: 0.4967]	10.4+0.1s
[8000/15600]	[L1: 0.4993]	10.8+0.1s
[9600/15600]	[L1: 0.5002]	10.8+0.1s
[11200/15600]	[L1: 0.5011]	10.1+0.1s
[12800/15600]	[L1: 0.5009]	10.1+0.1s
[14400/15600]	[L1: 0.5005]	9.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.496 (Best: 54.496 @epoch 180)
Forward: 63.05s

Saving...
Total: 63.58s

[Epoch 181]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4967]	11.2+0.5s
[3200/15600]	[L1: 0.5057]	10.5+0.1s
[4800/15600]	[L1: 0.5067]	10.9+0.1s
[6400/15600]	[L1: 0.5073]	11.8+0.1s
[8000/15600]	[L1: 0.5062]	10.9+0.1s
[9600/15600]	[L1: 0.5083]	9.9+0.1s
[11200/15600]	[L1: 0.5045]	11.2+0.1s
[12800/15600]	[L1: 0.5049]	10.9+0.1s
[14400/15600]	[L1: 0.5030]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.223 (Best: 54.496 @epoch 180)
Forward: 65.07s

Saving...
Total: 65.59s

[Epoch 182]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4932]	11.8+0.7s
[3200/15600]	[L1: 0.5010]	10.4+0.1s
[4800/15600]	[L1: 0.5053]	10.2+0.1s
[6400/15600]	[L1: 0.5032]	11.3+0.1s
[8000/15600]	[L1: 0.5004]	10.2+0.1s
[9600/15600]	[L1: 0.5005]	10.3+0.1s
[11200/15600]	[L1: 0.4992]	10.2+0.1s
[12800/15600]	[L1: 0.4984]	11.2+0.1s
[14400/15600]	[L1: 0.5001]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.034 (Best: 54.496 @epoch 180)
Forward: 63.55s

Saving...
Total: 64.11s

[Epoch 183]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5352]	11.3+0.6s
[3200/15600]	[L1: 0.5168]	11.2+0.1s
[4800/15600]	[L1: 0.5098]	10.4+0.1s
[6400/15600]	[L1: 0.5074]	11.1+0.1s
[8000/15600]	[L1: 0.5116]	11.9+0.1s
[9600/15600]	[L1: 0.5107]	10.8+0.1s
[11200/15600]	[L1: 0.5109]	10.8+0.1s
[12800/15600]	[L1: 0.5086]	11.7+0.1s
[14400/15600]	[L1: 0.5096]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.115 (Best: 54.496 @epoch 180)
Forward: 63.63s

Saving...
Total: 64.15s

[Epoch 184]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5119]	11.0+0.5s
[3200/15600]	[L1: 0.5027]	11.9+0.1s
[4800/15600]	[L1: 0.5047]	10.9+0.1s
[6400/15600]	[L1: 0.5011]	11.0+0.1s
[8000/15600]	[L1: 0.5008]	11.6+0.1s
[9600/15600]	[L1: 0.5005]	10.9+0.1s
[11200/15600]	[L1: 0.5012]	10.7+0.1s
[12800/15600]	[L1: 0.5022]	10.7+0.1s
[14400/15600]	[L1: 0.5013]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.751 (Best: 54.496 @epoch 180)
Forward: 64.43s

Saving...
Total: 64.93s

[Epoch 185]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5005]	10.6+0.5s
[3200/15600]	[L1: 0.4970]	11.8+0.1s
[4800/15600]	[L1: 0.5020]	10.5+0.1s
[6400/15600]	[L1: 0.5028]	10.3+0.1s
[8000/15600]	[L1: 0.5013]	11.7+0.1s
[9600/15600]	[L1: 0.4998]	10.8+0.1s
[11200/15600]	[L1: 0.5009]	10.9+0.1s
[12800/15600]	[L1: 0.5012]	11.9+0.1s
[14400/15600]	[L1: 0.5013]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.703 (Best: 54.496 @epoch 180)
Forward: 64.34s

Saving...
Total: 64.87s

[Epoch 186]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4992]	10.5+0.5s
[3200/15600]	[L1: 0.4949]	11.9+0.1s
[4800/15600]	[L1: 0.4936]	11.1+0.1s
[6400/15600]	[L1: 0.4957]	10.9+0.1s
[8000/15600]	[L1: 0.4949]	11.9+0.1s
[9600/15600]	[L1: 0.4968]	10.8+0.1s
[11200/15600]	[L1: 0.4996]	10.3+0.1s
[12800/15600]	[L1: 0.5001]	11.3+0.1s
[14400/15600]	[L1: 0.5007]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.245 (Best: 54.496 @epoch 180)
Forward: 64.06s

Saving...
Total: 64.59s

[Epoch 187]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4890]	10.7+0.5s
[3200/15600]	[L1: 0.4882]	11.8+0.1s
[4800/15600]	[L1: 0.4916]	10.9+0.1s
[6400/15600]	[L1: 0.4929]	10.9+0.1s
[8000/15600]	[L1: 0.4952]	11.8+0.1s
[9600/15600]	[L1: 0.4982]	10.6+0.1s
[11200/15600]	[L1: 0.4991]	10.7+0.1s
[12800/15600]	[L1: 0.4974]	11.2+0.1s
[14400/15600]	[L1: 0.4994]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.122 (Best: 54.496 @epoch 180)
Forward: 64.30s

Saving...
Total: 64.80s

[Epoch 188]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5163]	11.2+0.5s
[3200/15600]	[L1: 0.5097]	10.8+0.1s
[4800/15600]	[L1: 0.5060]	11.5+0.1s
[6400/15600]	[L1: 0.5028]	11.0+0.1s
[8000/15600]	[L1: 0.5063]	11.1+0.1s
[9600/15600]	[L1: 0.5048]	11.8+0.1s
[11200/15600]	[L1: 0.5043]	11.0+0.1s
[12800/15600]	[L1: 0.5043]	11.0+0.1s
[14400/15600]	[L1: 0.5043]	12.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.161 (Best: 54.496 @epoch 180)
Forward: 62.08s

Saving...
Total: 62.61s

[Epoch 189]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4976]	10.7+0.7s
[3200/15600]	[L1: 0.4931]	10.4+0.1s
[4800/15600]	[L1: 0.4895]	12.7+0.1s
[6400/15600]	[L1: 0.4948]	10.3+0.1s
[8000/15600]	[L1: 0.4977]	10.3+0.1s
[9600/15600]	[L1: 0.4968]	11.8+0.1s
[11200/15600]	[L1: 0.4990]	10.2+0.1s
[12800/15600]	[L1: 0.4983]	10.1+0.1s
[14400/15600]	[L1: 0.4973]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.040 (Best: 54.496 @epoch 180)
Forward: 60.62s

Saving...
Total: 61.13s

[Epoch 190]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5102]	11.7+0.6s
[3200/15600]	[L1: 0.5033]	11.9+0.1s
[4800/15600]	[L1: 0.5006]	11.0+0.1s
[6400/15600]	[L1: 0.4945]	10.8+0.1s
[8000/15600]	[L1: 0.4929]	12.4+0.1s
[9600/15600]	[L1: 0.4956]	11.1+0.1s
[11200/15600]	[L1: 0.4955]	10.8+0.1s
[12800/15600]	[L1: 0.4959]	12.5+0.1s
[14400/15600]	[L1: 0.4963]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.431 (Best: 54.496 @epoch 180)
Forward: 59.96s

Saving...
Total: 60.49s

[Epoch 191]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4816]	11.2+0.6s
[3200/15600]	[L1: 0.4872]	11.0+0.1s
[4800/15600]	[L1: 0.4927]	12.7+0.1s
[6400/15600]	[L1: 0.4975]	11.0+0.1s
[8000/15600]	[L1: 0.4967]	11.1+0.1s
[9600/15600]	[L1: 0.4940]	12.4+0.1s
[11200/15600]	[L1: 0.4942]	10.4+0.1s
[12800/15600]	[L1: 0.4941]	10.6+0.1s
[14400/15600]	[L1: 0.4964]	11.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.322 (Best: 54.496 @epoch 180)
Forward: 59.18s

Saving...
Total: 59.69s

[Epoch 192]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5073]	12.8+0.7s
[3200/15600]	[L1: 0.4914]	10.7+0.1s
[4800/15600]	[L1: 0.4907]	10.9+0.1s
[6400/15600]	[L1: 0.4899]	12.4+0.1s
[8000/15600]	[L1: 0.4897]	11.0+0.1s
[9600/15600]	[L1: 0.4892]	11.0+0.1s
[11200/15600]	[L1: 0.4905]	12.6+0.1s
[12800/15600]	[L1: 0.4930]	11.0+0.1s
[14400/15600]	[L1: 0.4927]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.101 (Best: 54.496 @epoch 180)
Forward: 61.08s

Saving...
Total: 61.59s

[Epoch 193]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5195]	11.1+0.6s
[3200/15600]	[L1: 0.5145]	12.7+0.1s
[4800/15600]	[L1: 0.5110]	11.0+0.1s
[6400/15600]	[L1: 0.5107]	11.3+0.1s
[8000/15600]	[L1: 0.5079]	12.9+0.1s
[9600/15600]	[L1: 0.5055]	11.4+0.1s
[11200/15600]	[L1: 0.5035]	11.3+0.1s
[12800/15600]	[L1: 0.5024]	12.8+0.1s
[14400/15600]	[L1: 0.5011]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.178 (Best: 54.496 @epoch 180)
Forward: 62.82s

Saving...
Total: 63.33s

[Epoch 194]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4927]	11.3+0.6s
[3200/15600]	[L1: 0.4898]	12.3+0.1s
[4800/15600]	[L1: 0.4971]	11.4+0.1s
[6400/15600]	[L1: 0.4964]	11.0+0.1s
[8000/15600]	[L1: 0.4950]	11.2+0.1s
[9600/15600]	[L1: 0.4990]	12.9+0.1s
[11200/15600]	[L1: 0.4998]	11.0+0.1s
[12800/15600]	[L1: 0.4994]	11.1+0.1s
[14400/15600]	[L1: 0.4996]	12.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.316 (Best: 54.496 @epoch 180)
Forward: 61.41s

Saving...
Total: 61.91s

[Epoch 195]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4795]	11.2+0.7s
[3200/15600]	[L1: 0.4884]	10.9+0.1s
[4800/15600]	[L1: 0.4911]	11.9+0.1s
[6400/15600]	[L1: 0.4941]	11.9+0.1s
[8000/15600]	[L1: 0.4959]	10.8+0.1s
[9600/15600]	[L1: 0.5011]	10.9+0.1s
[11200/15600]	[L1: 0.5005]	12.6+0.1s
[12800/15600]	[L1: 0.5011]	10.8+0.1s
[14400/15600]	[L1: 0.4996]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.969 (Best: 54.496 @epoch 180)
Forward: 59.30s

Saving...
Total: 59.81s

[Epoch 196]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5241]	12.4+0.6s
[3200/15600]	[L1: 0.5125]	10.9+0.1s
[4800/15600]	[L1: 0.5020]	10.7+0.1s
[6400/15600]	[L1: 0.5002]	11.5+0.1s
[8000/15600]	[L1: 0.4994]	12.9+0.1s
[9600/15600]	[L1: 0.4998]	11.1+0.1s
[11200/15600]	[L1: 0.4987]	10.9+0.1s
[12800/15600]	[L1: 0.4973]	12.5+0.1s
[14400/15600]	[L1: 0.4996]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.057 (Best: 54.496 @epoch 180)
Forward: 61.75s

Saving...
Total: 62.26s

[Epoch 197]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.4883]	10.3+0.6s
[3200/15600]	[L1: 0.4966]	10.5+0.1s
[4800/15600]	[L1: 0.4984]	11.0+0.1s
[6400/15600]	[L1: 0.4985]	10.8+0.1s
[8000/15600]	[L1: 0.4987]	10.1+0.1s
[9600/15600]	[L1: 0.5000]	11.6+0.1s
[11200/15600]	[L1: 0.4999]	11.1+0.1s
[12800/15600]	[L1: 0.4988]	11.0+0.1s
[14400/15600]	[L1: 0.4988]	11.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.596 (Best: 54.596 @epoch 197)
Forward: 60.29s

Saving...
Total: 61.09s

[Epoch 198]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5023]	11.6+1.0s
[3200/15600]	[L1: 0.5043]	10.0+0.1s
[4800/15600]	[L1: 0.4986]	10.7+0.1s
[6400/15600]	[L1: 0.4959]	11.6+0.1s
[8000/15600]	[L1: 0.4966]	9.7+0.1s
[9600/15600]	[L1: 0.4991]	9.9+0.1s
[11200/15600]	[L1: 0.4990]	12.0+0.1s
[12800/15600]	[L1: 0.4979]	10.9+0.1s
[14400/15600]	[L1: 0.4991]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.184 (Best: 54.596 @epoch 197)
Forward: 60.53s

Saving...
Total: 61.07s

[Epoch 199]	Learning rate: 5.00e-5
[1600/15600]	[L1: 0.5070]	11.3+0.6s
[3200/15600]	[L1: 0.4995]	12.6+0.1s
[4800/15600]	[L1: 0.5014]	11.1+0.1s
[6400/15600]	[L1: 0.4997]	10.8+0.1s
[8000/15600]	[L1: 0.4971]	12.7+0.1s
[9600/15600]	[L1: 0.4946]	10.9+0.1s
[11200/15600]	[L1: 0.4959]	11.1+0.1s
[12800/15600]	[L1: 0.4936]	11.2+0.1s
[14400/15600]	[L1: 0.4951]	12.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.286 (Best: 54.596 @epoch 197)
Forward: 61.75s

Saving...
Total: 62.25s

[Epoch 200]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4725]	11.3+0.6s
[3200/15600]	[L1: 0.4710]	11.4+0.1s
[4800/15600]	[L1: 0.4699]	12.8+0.1s
[6400/15600]	[L1: 0.4671]	10.1+0.1s
[8000/15600]	[L1: 0.4668]	11.0+0.1s
[9600/15600]	[L1: 0.4670]	12.8+0.1s
[11200/15600]	[L1: 0.4659]	11.1+0.1s
[12800/15600]	[L1: 0.4661]	11.0+0.1s
[14400/15600]	[L1: 0.4641]	12.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.211 (Best: 54.596 @epoch 197)
Forward: 60.97s

Saving...
Total: 61.50s

[Epoch 201]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4534]	11.9+0.6s
[3200/15600]	[L1: 0.4663]	10.8+0.1s
[4800/15600]	[L1: 0.4677]	10.7+0.1s
[6400/15600]	[L1: 0.4696]	13.0+0.1s
[8000/15600]	[L1: 0.4680]	11.1+0.1s
[9600/15600]	[L1: 0.4697]	11.2+0.1s
[11200/15600]	[L1: 0.4685]	13.0+0.1s
[12800/15600]	[L1: 0.4674]	11.0+0.1s
[14400/15600]	[L1: 0.4678]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.368 (Best: 54.596 @epoch 197)
Forward: 62.41s

Saving...
Total: 62.92s

[Epoch 202]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4839]	11.2+0.6s
[3200/15600]	[L1: 0.4732]	12.8+0.1s
[4800/15600]	[L1: 0.4687]	11.0+0.1s
[6400/15600]	[L1: 0.4662]	11.2+0.1s
[8000/15600]	[L1: 0.4712]	12.6+0.1s
[9600/15600]	[L1: 0.4704]	11.1+0.1s
[11200/15600]	[L1: 0.4678]	11.0+0.1s
[12800/15600]	[L1: 0.4671]	11.3+0.1s
[14400/15600]	[L1: 0.4681]	12.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.563 (Best: 54.596 @epoch 197)
Forward: 60.61s

Saving...
Total: 61.16s

[Epoch 203]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4638]	11.7+0.6s
[3200/15600]	[L1: 0.4661]	11.2+0.1s
[4800/15600]	[L1: 0.4638]	12.9+0.1s
[6400/15600]	[L1: 0.4662]	11.1+0.1s
[8000/15600]	[L1: 0.4653]	11.0+0.1s
[9600/15600]	[L1: 0.4654]	12.9+0.1s
[11200/15600]	[L1: 0.4675]	11.1+0.1s
[12800/15600]	[L1: 0.4668]	11.0+0.1s
[14400/15600]	[L1: 0.4659]	12.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.594 (Best: 54.596 @epoch 197)
Forward: 60.68s

Saving...
Total: 61.18s

[Epoch 204]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4712]	12.3+0.6s
[3200/15600]	[L1: 0.4576]	11.1+0.1s
[4800/15600]	[L1: 0.4636]	10.9+0.1s
[6400/15600]	[L1: 0.4641]	11.8+0.1s
[8000/15600]	[L1: 0.4620]	11.1+0.1s
[9600/15600]	[L1: 0.4628]	10.8+0.1s
[11200/15600]	[L1: 0.4643]	11.9+0.1s
[12800/15600]	[L1: 0.4648]	11.1+0.1s
[14400/15600]	[L1: 0.4663]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.559 (Best: 54.596 @epoch 197)
Forward: 64.30s

Saving...
Total: 64.80s

[Epoch 205]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4763]	11.1+0.8s
[3200/15600]	[L1: 0.4726]	10.0+0.1s
[4800/15600]	[L1: 0.4734]	10.9+0.1s
[6400/15600]	[L1: 0.4699]	10.6+0.1s
[8000/15600]	[L1: 0.4664]	10.3+0.1s
[9600/15600]	[L1: 0.4655]	10.1+0.1s
[11200/15600]	[L1: 0.4666]	11.4+0.1s
[12800/15600]	[L1: 0.4658]	9.9+0.1s
[14400/15600]	[L1: 0.4665]	9.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.573 (Best: 54.596 @epoch 197)
Forward: 63.59s

Saving...
Total: 64.09s

[Epoch 206]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4633]	12.0+0.6s
[3200/15600]	[L1: 0.4666]	11.0+0.1s
[4800/15600]	[L1: 0.4701]	10.7+0.1s
[6400/15600]	[L1: 0.4706]	10.8+0.1s
[8000/15600]	[L1: 0.4688]	10.9+0.1s
[9600/15600]	[L1: 0.4704]	11.1+0.1s
[11200/15600]	[L1: 0.4703]	11.2+0.1s
[12800/15600]	[L1: 0.4675]	11.1+0.1s
[14400/15600]	[L1: 0.4671]	9.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.717 (Best: 54.717 @epoch 206)
Forward: 63.45s

Saving...
Total: 63.96s

[Epoch 207]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4542]	10.8+0.5s
[3200/15600]	[L1: 0.4590]	11.6+0.1s
[4800/15600]	[L1: 0.4613]	10.5+0.1s
[6400/15600]	[L1: 0.4642]	10.8+0.1s
[8000/15600]	[L1: 0.4648]	11.8+0.1s
[9600/15600]	[L1: 0.4655]	10.3+0.1s
[11200/15600]	[L1: 0.4651]	11.0+0.1s
[12800/15600]	[L1: 0.4644]	11.8+0.1s
[14400/15600]	[L1: 0.4628]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.719 (Best: 54.719 @epoch 207)
Forward: 63.58s

Saving...
Total: 64.09s

[Epoch 208]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4583]	10.8+0.5s
[3200/15600]	[L1: 0.4627]	10.5+0.1s
[4800/15600]	[L1: 0.4581]	10.8+0.1s
[6400/15600]	[L1: 0.4595]	11.1+0.1s
[8000/15600]	[L1: 0.4594]	10.9+0.1s
[9600/15600]	[L1: 0.4606]	11.6+0.1s
[11200/15600]	[L1: 0.4611]	10.9+0.1s
[12800/15600]	[L1: 0.4613]	11.0+0.1s
[14400/15600]	[L1: 0.4619]	11.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.733 (Best: 54.733 @epoch 208)
Forward: 62.41s

Saving...
Total: 62.96s

[Epoch 209]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4498]	11.2+0.5s
[3200/15600]	[L1: 0.4574]	10.9+0.1s
[4800/15600]	[L1: 0.4603]	10.6+0.1s
[6400/15600]	[L1: 0.4605]	9.7+0.1s
[8000/15600]	[L1: 0.4610]	9.5+0.1s
[9600/15600]	[L1: 0.4631]	10.5+0.1s
[11200/15600]	[L1: 0.4641]	9.8+0.1s
[12800/15600]	[L1: 0.4625]	11.0+0.1s
[14400/15600]	[L1: 0.4624]	11.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.609 (Best: 54.733 @epoch 208)
Forward: 61.48s

Saving...
Total: 61.99s

[Epoch 210]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4668]	11.4+0.8s
[3200/15600]	[L1: 0.4626]	10.3+0.1s
[4800/15600]	[L1: 0.4620]	11.3+0.1s
[6400/15600]	[L1: 0.4604]	11.0+0.1s
[8000/15600]	[L1: 0.4579]	11.0+0.1s
[9600/15600]	[L1: 0.4593]	11.0+0.1s
[11200/15600]	[L1: 0.4586]	12.5+0.1s
[12800/15600]	[L1: 0.4585]	11.0+0.1s
[14400/15600]	[L1: 0.4596]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.569 (Best: 54.733 @epoch 208)
Forward: 60.49s

Saving...
Total: 60.98s

[Epoch 211]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4588]	12.9+0.6s
[3200/15600]	[L1: 0.4652]	11.2+0.1s
[4800/15600]	[L1: 0.4575]	11.0+0.1s
[6400/15600]	[L1: 0.4571]	12.9+0.1s
[8000/15600]	[L1: 0.4582]	11.0+0.1s
[9600/15600]	[L1: 0.4589]	11.1+0.1s
[11200/15600]	[L1: 0.4607]	11.4+0.1s
[12800/15600]	[L1: 0.4625]	12.3+0.1s
[14400/15600]	[L1: 0.4632]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.203 (Best: 54.733 @epoch 208)
Forward: 62.20s

Saving...
Total: 62.68s

[Epoch 212]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4633]	10.3+0.6s
[3200/15600]	[L1: 0.4570]	10.1+0.1s
[4800/15600]	[L1: 0.4608]	12.2+0.1s
[6400/15600]	[L1: 0.4625]	10.8+0.1s
[8000/15600]	[L1: 0.4613]	10.9+0.1s
[9600/15600]	[L1: 0.4601]	12.1+0.1s
[11200/15600]	[L1: 0.4597]	10.7+0.1s
[12800/15600]	[L1: 0.4594]	10.8+0.1s
[14400/15600]	[L1: 0.4604]	12.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.072 (Best: 54.733 @epoch 208)
Forward: 61.07s

Saving...
Total: 61.65s

[Epoch 213]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4552]	11.9+0.7s
[3200/15600]	[L1: 0.4637]	10.1+0.1s
[4800/15600]	[L1: 0.4610]	10.7+0.1s
[6400/15600]	[L1: 0.4653]	12.7+0.1s
[8000/15600]	[L1: 0.4643]	10.4+0.1s
[9600/15600]	[L1: 0.4651]	9.6+0.1s
[11200/15600]	[L1: 0.4659]	11.3+0.1s
[12800/15600]	[L1: 0.4671]	10.5+0.1s
[14400/15600]	[L1: 0.4679]	9.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.759 (Best: 54.759 @epoch 213)
Forward: 62.52s

Saving...
Total: 63.06s

[Epoch 214]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4603]	11.1+0.6s
[3200/15600]	[L1: 0.4543]	12.7+0.1s
[4800/15600]	[L1: 0.4574]	11.0+0.1s
[6400/15600]	[L1: 0.4562]	11.1+0.1s
[8000/15600]	[L1: 0.4579]	12.6+0.1s
[9600/15600]	[L1: 0.4598]	11.2+0.1s
[11200/15600]	[L1: 0.4589]	10.8+0.1s
[12800/15600]	[L1: 0.4604]	11.0+0.1s
[14400/15600]	[L1: 0.4588]	12.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.665 (Best: 54.759 @epoch 213)
Forward: 61.19s

Saving...
Total: 61.66s

[Epoch 215]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4626]	11.3+0.6s
[3200/15600]	[L1: 0.4579]	10.9+0.1s
[4800/15600]	[L1: 0.4628]	12.7+0.1s
[6400/15600]	[L1: 0.4619]	11.1+0.1s
[8000/15600]	[L1: 0.4622]	10.9+0.1s
[9600/15600]	[L1: 0.4615]	12.7+0.1s
[11200/15600]	[L1: 0.4621]	10.6+0.1s
[12800/15600]	[L1: 0.4614]	10.8+0.1s
[14400/15600]	[L1: 0.4614]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.637 (Best: 54.759 @epoch 213)
Forward: 62.96s

Saving...
Total: 63.45s

[Epoch 216]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4541]	12.1+0.6s
[3200/15600]	[L1: 0.4582]	11.0+0.1s
[4800/15600]	[L1: 0.4599]	11.1+0.1s
[6400/15600]	[L1: 0.4608]	11.7+0.1s
[8000/15600]	[L1: 0.4612]	11.0+0.1s
[9600/15600]	[L1: 0.4643]	11.0+0.1s
[11200/15600]	[L1: 0.4650]	11.8+0.1s
[12800/15600]	[L1: 0.4635]	11.1+0.1s
[14400/15600]	[L1: 0.4625]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.576 (Best: 54.759 @epoch 213)
Forward: 63.69s

Saving...
Total: 64.15s

[Epoch 217]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4428]	12.9+0.8s
[3200/15600]	[L1: 0.4481]	11.0+0.1s
[4800/15600]	[L1: 0.4483]	11.2+0.1s
[6400/15600]	[L1: 0.4529]	12.5+0.1s
[8000/15600]	[L1: 0.4560]	11.0+0.1s
[9600/15600]	[L1: 0.4564]	10.9+0.1s
[11200/15600]	[L1: 0.4586]	12.7+0.1s
[12800/15600]	[L1: 0.4583]	10.9+0.1s
[14400/15600]	[L1: 0.4592]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.280 (Best: 54.759 @epoch 213)
Forward: 61.37s

Saving...
Total: 61.87s

[Epoch 218]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4569]	11.4+0.6s
[3200/15600]	[L1: 0.4564]	13.1+0.1s
[4800/15600]	[L1: 0.4555]	11.0+0.1s
[6400/15600]	[L1: 0.4570]	11.1+0.1s
[8000/15600]	[L1: 0.4561]	12.9+0.1s
[9600/15600]	[L1: 0.4566]	10.9+0.1s
[11200/15600]	[L1: 0.4581]	9.7+0.1s
[12800/15600]	[L1: 0.4602]	12.7+0.1s
[14400/15600]	[L1: 0.4608]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.732 (Best: 54.759 @epoch 213)
Forward: 62.25s

Saving...
Total: 62.74s

[Epoch 219]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4679]	11.3+0.6s
[3200/15600]	[L1: 0.4679]	11.1+0.1s
[4800/15600]	[L1: 0.4707]	12.0+0.1s
[6400/15600]	[L1: 0.4711]	11.0+0.1s
[8000/15600]	[L1: 0.4701]	11.2+0.1s
[9600/15600]	[L1: 0.4705]	11.9+0.1s
[11200/15600]	[L1: 0.4722]	11.2+0.1s
[12800/15600]	[L1: 0.4716]	10.9+0.1s
[14400/15600]	[L1: 0.4703]	11.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.696 (Best: 54.759 @epoch 213)
Forward: 62.42s

Saving...
Total: 62.92s

[Epoch 220]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4696]	11.3+0.8s
[3200/15600]	[L1: 0.4618]	10.9+0.1s
[4800/15600]	[L1: 0.4657]	12.4+0.1s
[6400/15600]	[L1: 0.4628]	11.1+0.1s
[8000/15600]	[L1: 0.4588]	11.0+0.1s
[9600/15600]	[L1: 0.4589]	12.6+0.1s
[11200/15600]	[L1: 0.4572]	10.5+0.1s
[12800/15600]	[L1: 0.4579]	10.5+0.1s
[14400/15600]	[L1: 0.4594]	11.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.375 (Best: 54.759 @epoch 213)
Forward: 59.19s

Saving...
Total: 59.70s

[Epoch 221]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4597]	12.1+0.6s
[3200/15600]	[L1: 0.4622]	10.0+0.1s
[4800/15600]	[L1: 0.4623]	11.0+0.1s
[6400/15600]	[L1: 0.4619]	12.4+0.1s
[8000/15600]	[L1: 0.4611]	10.1+0.1s
[9600/15600]	[L1: 0.4602]	10.9+0.1s
[11200/15600]	[L1: 0.4606]	11.5+0.1s
[12800/15600]	[L1: 0.4616]	12.3+0.1s
[14400/15600]	[L1: 0.4624]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.662 (Best: 54.759 @epoch 213)
Forward: 61.85s

Saving...
Total: 62.36s

[Epoch 222]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4558]	11.1+0.6s
[3200/15600]	[L1: 0.4602]	13.0+0.1s
[4800/15600]	[L1: 0.4595]	11.1+0.1s
[6400/15600]	[L1: 0.4652]	11.0+0.1s
[8000/15600]	[L1: 0.4646]	13.0+0.1s
[9600/15600]	[L1: 0.4658]	11.1+0.1s
[11200/15600]	[L1: 0.4663]	10.9+0.1s
[12800/15600]	[L1: 0.4648]	12.4+0.1s
[14400/15600]	[L1: 0.4640]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.420 (Best: 54.759 @epoch 213)
Forward: 60.81s

Saving...
Total: 61.33s

[Epoch 223]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4531]	11.3+0.6s
[3200/15600]	[L1: 0.4554]	11.0+0.1s
[4800/15600]	[L1: 0.4558]	11.9+0.1s
[6400/15600]	[L1: 0.4557]	11.0+0.1s
[8000/15600]	[L1: 0.4561]	11.0+0.1s
[9600/15600]	[L1: 0.4557]	12.0+0.1s
[11200/15600]	[L1: 0.4565]	11.1+0.1s
[12800/15600]	[L1: 0.4571]	11.2+0.1s
[14400/15600]	[L1: 0.4588]	11.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.640 (Best: 54.759 @epoch 213)
Forward: 62.50s

Saving...
Total: 63.19s

[Epoch 224]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4519]	10.7+0.8s
[3200/15600]	[L1: 0.4573]	10.9+0.1s
[4800/15600]	[L1: 0.4569]	12.7+0.1s
[6400/15600]	[L1: 0.4541]	11.0+0.1s
[8000/15600]	[L1: 0.4556]	11.4+0.1s
[9600/15600]	[L1: 0.4578]	12.6+0.1s
[11200/15600]	[L1: 0.4577]	10.5+0.1s
[12800/15600]	[L1: 0.4576]	10.7+0.1s
[14400/15600]	[L1: 0.4578]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.252 (Best: 54.759 @epoch 213)
Forward: 59.77s

Saving...
Total: 60.27s

[Epoch 225]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4627]	12.9+0.6s
[3200/15600]	[L1: 0.4640]	10.9+0.1s
[4800/15600]	[L1: 0.4582]	11.2+0.1s
[6400/15600]	[L1: 0.4550]	12.7+0.1s
[8000/15600]	[L1: 0.4542]	11.2+0.1s
[9600/15600]	[L1: 0.4616]	11.4+0.1s
[11200/15600]	[L1: 0.4614]	13.0+0.1s
[12800/15600]	[L1: 0.4613]	11.5+0.1s
[14400/15600]	[L1: 0.4608]	11.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.126 (Best: 54.759 @epoch 213)
Forward: 61.49s

Saving...
Total: 61.99s

[Epoch 226]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4530]	11.4+0.6s
[3200/15600]	[L1: 0.4506]	12.4+0.1s
[4800/15600]	[L1: 0.4486]	11.3+0.1s
[6400/15600]	[L1: 0.4479]	11.4+0.1s
[8000/15600]	[L1: 0.4490]	12.3+0.1s
[9600/15600]	[L1: 0.4508]	11.1+0.1s
[11200/15600]	[L1: 0.4530]	10.7+0.1s
[12800/15600]	[L1: 0.4523]	12.8+0.1s
[14400/15600]	[L1: 0.4517]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.326 (Best: 54.759 @epoch 213)
Forward: 61.75s

Saving...
Total: 62.39s

[Epoch 227]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4612]	11.2+0.6s
[3200/15600]	[L1: 0.4600]	11.2+0.1s
[4800/15600]	[L1: 0.4587]	12.8+0.1s
[6400/15600]	[L1: 0.4587]	11.2+0.1s
[8000/15600]	[L1: 0.4594]	11.2+0.1s
[9600/15600]	[L1: 0.4614]	12.6+0.1s
[11200/15600]	[L1: 0.4618]	11.1+0.1s
[12800/15600]	[L1: 0.4605]	11.1+0.1s
[14400/15600]	[L1: 0.4595]	12.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.542 (Best: 54.759 @epoch 213)
Forward: 59.80s

Saving...
Total: 60.26s

[Epoch 228]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4618]	12.1+0.7s
[3200/15600]	[L1: 0.4667]	10.8+0.1s
[4800/15600]	[L1: 0.4653]	11.0+0.1s
[6400/15600]	[L1: 0.4666]	12.8+0.1s
[8000/15600]	[L1: 0.4667]	10.5+0.1s
[9600/15600]	[L1: 0.4655]	11.0+0.1s
[11200/15600]	[L1: 0.4654]	12.9+0.1s
[12800/15600]	[L1: 0.4651]	11.0+0.1s
[14400/15600]	[L1: 0.4655]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.743 (Best: 54.759 @epoch 213)
Forward: 60.05s

Saving...
Total: 60.54s

[Epoch 229]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4529]	11.5+0.6s
[3200/15600]	[L1: 0.4531]	11.9+0.1s
[4800/15600]	[L1: 0.4530]	10.4+0.1s
[6400/15600]	[L1: 0.4565]	11.0+0.1s
[8000/15600]	[L1: 0.4554]	12.5+0.1s
[9600/15600]	[L1: 0.4545]	11.1+0.1s
[11200/15600]	[L1: 0.4546]	11.1+0.1s
[12800/15600]	[L1: 0.4559]	12.3+0.1s
[14400/15600]	[L1: 0.4576]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.333 (Best: 54.759 @epoch 213)
Forward: 60.75s

Saving...
Total: 61.38s

[Epoch 230]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4557]	11.2+0.6s
[3200/15600]	[L1: 0.4553]	11.2+0.1s
[4800/15600]	[L1: 0.4559]	12.6+0.1s
[6400/15600]	[L1: 0.4524]	11.1+0.1s
[8000/15600]	[L1: 0.4559]	11.1+0.1s
[9600/15600]	[L1: 0.4561]	12.4+0.1s
[11200/15600]	[L1: 0.4566]	10.7+0.1s
[12800/15600]	[L1: 0.4571]	10.8+0.1s
[14400/15600]	[L1: 0.4568]	11.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.476 (Best: 54.759 @epoch 213)
Forward: 59.90s

Saving...
Total: 60.43s

[Epoch 231]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4502]	12.7+0.7s
[3200/15600]	[L1: 0.4415]	10.9+0.1s
[4800/15600]	[L1: 0.4465]	10.6+0.1s
[6400/15600]	[L1: 0.4442]	12.6+0.1s
[8000/15600]	[L1: 0.4528]	10.7+0.1s
[9600/15600]	[L1: 0.4543]	11.1+0.1s
[11200/15600]	[L1: 0.4562]	12.6+0.1s
[12800/15600]	[L1: 0.4547]	10.8+0.1s
[14400/15600]	[L1: 0.4546]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.594 (Best: 54.759 @epoch 213)
Forward: 61.09s

Saving...
Total: 61.71s

[Epoch 232]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4699]	11.0+0.8s
[3200/15600]	[L1: 0.4579]	12.5+0.1s
[4800/15600]	[L1: 0.4563]	10.9+0.1s
[6400/15600]	[L1: 0.4584]	10.9+0.1s
[8000/15600]	[L1: 0.4571]	12.4+0.1s
[9600/15600]	[L1: 0.4556]	11.1+0.1s
[11200/15600]	[L1: 0.4554]	11.0+0.1s
[12800/15600]	[L1: 0.4581]	12.2+0.1s
[14400/15600]	[L1: 0.4570]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.831 (Best: 54.831 @epoch 232)
Forward: 61.57s

Saving...
Total: 62.11s

[Epoch 233]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4520]	11.2+0.6s
[3200/15600]	[L1: 0.4518]	10.1+0.1s
[4800/15600]	[L1: 0.4575]	11.5+0.1s
[6400/15600]	[L1: 0.4589]	11.0+0.1s
[8000/15600]	[L1: 0.4588]	11.2+0.1s
[9600/15600]	[L1: 0.4587]	12.7+0.1s
[11200/15600]	[L1: 0.4572]	11.2+0.1s
[12800/15600]	[L1: 0.4580]	11.0+0.1s
[14400/15600]	[L1: 0.4593]	12.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.727 (Best: 54.831 @epoch 232)
Forward: 59.71s

Saving...
Total: 60.50s

[Epoch 234]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4606]	11.1+0.8s
[3200/15600]	[L1: 0.4561]	11.2+0.1s
[4800/15600]	[L1: 0.4553]	11.2+0.1s
[6400/15600]	[L1: 0.4512]	10.7+0.1s
[8000/15600]	[L1: 0.4516]	10.3+0.1s
[9600/15600]	[L1: 0.4504]	10.7+0.1s
[11200/15600]	[L1: 0.4517]	11.2+0.1s
[12800/15600]	[L1: 0.4523]	10.2+0.1s
[14400/15600]	[L1: 0.4532]	9.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.734 (Best: 54.831 @epoch 232)
Forward: 63.35s

Saving...
Total: 63.86s

[Epoch 235]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4557]	12.0+0.6s
[3200/15600]	[L1: 0.4599]	11.0+0.1s
[4800/15600]	[L1: 0.4570]	10.8+0.1s
[6400/15600]	[L1: 0.4569]	12.0+0.1s
[8000/15600]	[L1: 0.4584]	11.1+0.1s
[9600/15600]	[L1: 0.4576]	10.6+0.1s
[11200/15600]	[L1: 0.4557]	11.4+0.1s
[12800/15600]	[L1: 0.4571]	9.8+0.1s
[14400/15600]	[L1: 0.4570]	10.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.636 (Best: 54.831 @epoch 232)
Forward: 64.20s

Saving...
Total: 64.67s

[Epoch 236]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4635]	11.3+0.5s
[3200/15600]	[L1: 0.4557]	11.5+0.1s
[4800/15600]	[L1: 0.4536]	10.1+0.1s
[6400/15600]	[L1: 0.4535]	9.6+0.1s
[8000/15600]	[L1: 0.4552]	11.1+0.1s
[9600/15600]	[L1: 0.4574]	9.9+0.1s
[11200/15600]	[L1: 0.4566]	11.0+0.1s
[12800/15600]	[L1: 0.4582]	11.2+0.1s
[14400/15600]	[L1: 0.4575]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.807 (Best: 54.831 @epoch 232)
Forward: 63.98s

Saving...
Total: 64.51s

[Epoch 237]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4636]	10.2+0.5s
[3200/15600]	[L1: 0.4654]	11.4+0.1s
[4800/15600]	[L1: 0.4630]	10.7+0.1s
[6400/15600]	[L1: 0.4634]	11.0+0.1s
[8000/15600]	[L1: 0.4627]	11.7+0.1s
[9600/15600]	[L1: 0.4617]	10.4+0.1s
[11200/15600]	[L1: 0.4614]	9.8+0.1s
[12800/15600]	[L1: 0.4608]	11.4+0.1s
[14400/15600]	[L1: 0.4594]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.687 (Best: 54.831 @epoch 232)
Forward: 61.79s

Saving...
Total: 62.30s

[Epoch 238]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4660]	11.5+0.7s
[3200/15600]	[L1: 0.4637]	11.9+0.1s
[4800/15600]	[L1: 0.4660]	11.7+0.1s
[6400/15600]	[L1: 0.4639]	11.0+0.1s
[8000/15600]	[L1: 0.4630]	11.0+0.1s
[9600/15600]	[L1: 0.4610]	12.6+0.1s
[11200/15600]	[L1: 0.4623]	11.0+0.1s
[12800/15600]	[L1: 0.4597]	11.0+0.1s
[14400/15600]	[L1: 0.4597]	12.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.470 (Best: 54.831 @epoch 232)
Forward: 60.09s

Saving...
Total: 61.01s

[Epoch 239]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4492]	13.0+0.7s
[3200/15600]	[L1: 0.4520]	11.0+0.1s
[4800/15600]	[L1: 0.4484]	11.0+0.1s
[6400/15600]	[L1: 0.4524]	12.9+0.1s
[8000/15600]	[L1: 0.4524]	11.0+0.1s
[9600/15600]	[L1: 0.4529]	10.4+0.1s
[11200/15600]	[L1: 0.4533]	12.9+0.1s
[12800/15600]	[L1: 0.4522]	11.2+0.1s
[14400/15600]	[L1: 0.4521]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.650 (Best: 54.831 @epoch 232)
Forward: 59.01s

Saving...
Total: 59.52s

[Epoch 240]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4547]	10.6+0.6s
[3200/15600]	[L1: 0.4575]	12.2+0.1s
[4800/15600]	[L1: 0.4585]	11.1+0.1s
[6400/15600]	[L1: 0.4584]	10.9+0.1s
[8000/15600]	[L1: 0.4582]	12.5+0.1s
[9600/15600]	[L1: 0.4593]	11.1+0.1s
[11200/15600]	[L1: 0.4589]	11.2+0.1s
[12800/15600]	[L1: 0.4588]	12.8+0.1s
[14400/15600]	[L1: 0.4569]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.239 (Best: 54.831 @epoch 232)
Forward: 60.10s

Saving...
Total: 60.61s

[Epoch 241]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4428]	11.2+0.7s
[3200/15600]	[L1: 0.4485]	10.9+0.1s
[4800/15600]	[L1: 0.4513]	12.8+0.1s
[6400/15600]	[L1: 0.4521]	10.9+0.1s
[8000/15600]	[L1: 0.4506]	10.9+0.1s
[9600/15600]	[L1: 0.4501]	12.4+0.1s
[11200/15600]	[L1: 0.4505]	11.1+0.1s
[12800/15600]	[L1: 0.4523]	11.5+0.1s
[14400/15600]	[L1: 0.4518]	12.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.422 (Best: 54.831 @epoch 232)
Forward: 59.24s

Saving...
Total: 60.07s

[Epoch 242]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4533]	12.6+0.8s
[3200/15600]	[L1: 0.4568]	10.5+0.1s
[4800/15600]	[L1: 0.4568]	10.0+0.1s
[6400/15600]	[L1: 0.4555]	10.2+0.1s
[8000/15600]	[L1: 0.4553]	9.2+0.1s
[9600/15600]	[L1: 0.4543]	10.2+0.1s
[11200/15600]	[L1: 0.4538]	10.8+0.1s
[12800/15600]	[L1: 0.4559]	10.3+0.1s
[14400/15600]	[L1: 0.4569]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.658 (Best: 54.831 @epoch 232)
Forward: 63.48s

Saving...
Total: 64.05s

[Epoch 243]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4443]	11.0+0.6s
[3200/15600]	[L1: 0.4484]	11.9+0.1s
[4800/15600]	[L1: 0.4499]	11.0+0.1s
[6400/15600]	[L1: 0.4510]	11.0+0.1s
[8000/15600]	[L1: 0.4506]	11.7+0.1s
[9600/15600]	[L1: 0.4527]	11.1+0.1s
[11200/15600]	[L1: 0.4528]	10.9+0.1s
[12800/15600]	[L1: 0.4533]	11.6+0.1s
[14400/15600]	[L1: 0.4538]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.165 (Best: 54.831 @epoch 232)
Forward: 62.97s

Saving...
Total: 63.68s

[Epoch 244]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4513]	11.1+0.8s
[3200/15600]	[L1: 0.4648]	11.0+0.1s
[4800/15600]	[L1: 0.4646]	9.3+0.1s
[6400/15600]	[L1: 0.4629]	11.2+0.1s
[8000/15600]	[L1: 0.4622]	12.6+0.1s
[9600/15600]	[L1: 0.4616]	11.0+0.1s
[11200/15600]	[L1: 0.4609]	11.0+0.1s
[12800/15600]	[L1: 0.4599]	12.6+0.1s
[14400/15600]	[L1: 0.4614]	10.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.579 (Best: 54.831 @epoch 232)
Forward: 61.14s

Saving...
Total: 61.67s

[Epoch 245]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4544]	11.2+0.7s
[3200/15600]	[L1: 0.4538]	11.1+0.1s
[4800/15600]	[L1: 0.4494]	12.5+0.1s
[6400/15600]	[L1: 0.4529]	11.0+0.1s
[8000/15600]	[L1: 0.4533]	11.0+0.1s
[9600/15600]	[L1: 0.4533]	12.8+0.1s
[11200/15600]	[L1: 0.4535]	11.1+0.1s
[12800/15600]	[L1: 0.4534]	11.1+0.1s
[14400/15600]	[L1: 0.4539]	13.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.413 (Best: 54.831 @epoch 232)
Forward: 60.21s

Saving...
Total: 60.69s

[Epoch 246]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4546]	13.0+0.7s
[3200/15600]	[L1: 0.4499]	11.1+0.1s
[4800/15600]	[L1: 0.4527]	10.9+0.1s
[6400/15600]	[L1: 0.4568]	12.7+0.1s
[8000/15600]	[L1: 0.4560]	11.1+0.1s
[9600/15600]	[L1: 0.4557]	10.9+0.1s
[11200/15600]	[L1: 0.4559]	12.6+0.1s
[12800/15600]	[L1: 0.4568]	10.9+0.1s
[14400/15600]	[L1: 0.4571]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.766 (Best: 54.831 @epoch 232)
Forward: 59.75s

Saving...
Total: 60.27s

[Epoch 247]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4369]	10.7+0.6s
[3200/15600]	[L1: 0.4458]	12.8+0.1s
[4800/15600]	[L1: 0.4516]	11.0+0.1s
[6400/15600]	[L1: 0.4499]	11.2+0.1s
[8000/15600]	[L1: 0.4511]	12.8+0.1s
[9600/15600]	[L1: 0.4498]	11.0+0.1s
[11200/15600]	[L1: 0.4503]	11.1+0.1s
[12800/15600]	[L1: 0.4525]	12.5+0.1s
[14400/15600]	[L1: 0.4527]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.718 (Best: 54.831 @epoch 232)
Forward: 63.00s

Saving...
Total: 63.48s

[Epoch 248]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4554]	10.9+0.6s
[3200/15600]	[L1: 0.4550]	12.5+0.1s
[4800/15600]	[L1: 0.4509]	10.2+0.1s
[6400/15600]	[L1: 0.4530]	10.9+0.1s
[8000/15600]	[L1: 0.4523]	10.0+0.1s
[9600/15600]	[L1: 0.4519]	13.0+0.1s
[11200/15600]	[L1: 0.4519]	11.1+0.1s
[12800/15600]	[L1: 0.4510]	10.9+0.1s
[14400/15600]	[L1: 0.4518]	12.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.699 (Best: 54.831 @epoch 232)
Forward: 60.65s

Saving...
Total: 61.47s

[Epoch 249]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4709]	12.8+0.7s
[3200/15600]	[L1: 0.4621]	11.0+0.1s
[4800/15600]	[L1: 0.4591]	11.0+0.1s
[6400/15600]	[L1: 0.4573]	12.6+0.1s
[8000/15600]	[L1: 0.4572]	11.1+0.1s
[9600/15600]	[L1: 0.4531]	11.0+0.1s
[11200/15600]	[L1: 0.4520]	12.7+0.1s
[12800/15600]	[L1: 0.4541]	11.0+0.1s
[14400/15600]	[L1: 0.4549]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.611 (Best: 54.831 @epoch 232)
Forward: 59.81s

Saving...
Total: 60.34s

[Epoch 250]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4445]	11.2+0.7s
[3200/15600]	[L1: 0.4501]	12.6+0.1s
[4800/15600]	[L1: 0.4527]	11.0+0.1s
[6400/15600]	[L1: 0.4511]	10.9+0.1s
[8000/15600]	[L1: 0.4531]	12.6+0.1s
[9600/15600]	[L1: 0.4517]	11.0+0.1s
[11200/15600]	[L1: 0.4535]	10.8+0.1s
[12800/15600]	[L1: 0.4534]	12.6+0.1s
[14400/15600]	[L1: 0.4549]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.745 (Best: 54.831 @epoch 232)
Forward: 60.42s

Saving...
Total: 60.94s

[Epoch 251]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4522]	11.4+0.7s
[3200/15600]	[L1: 0.4520]	10.9+0.1s
[4800/15600]	[L1: 0.4484]	12.8+0.1s
[6400/15600]	[L1: 0.4464]	10.9+0.1s
[8000/15600]	[L1: 0.4482]	10.5+0.1s
[9600/15600]	[L1: 0.4497]	12.5+0.1s
[11200/15600]	[L1: 0.4502]	10.8+0.1s
[12800/15600]	[L1: 0.4519]	10.7+0.1s
[14400/15600]	[L1: 0.4517]	12.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.774 (Best: 54.831 @epoch 232)
Forward: 60.45s

Saving...
Total: 61.41s

[Epoch 252]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4666]	11.4+0.8s
[3200/15600]	[L1: 0.4583]	11.1+0.1s
[4800/15600]	[L1: 0.4610]	11.9+0.1s
[6400/15600]	[L1: 0.4606]	12.1+0.1s
[8000/15600]	[L1: 0.4591]	11.1+0.1s
[9600/15600]	[L1: 0.4572]	10.9+0.1s
[11200/15600]	[L1: 0.4580]	12.9+0.1s
[12800/15600]	[L1: 0.4571]	11.1+0.1s
[14400/15600]	[L1: 0.4568]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.707 (Best: 54.831 @epoch 232)
Forward: 60.50s

Saving...
Total: 61.01s

[Epoch 253]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4451]	12.4+0.6s
[3200/15600]	[L1: 0.4583]	11.4+0.1s
[4800/15600]	[L1: 0.4561]	11.3+0.1s
[6400/15600]	[L1: 0.4549]	11.9+0.1s
[8000/15600]	[L1: 0.4547]	11.1+0.1s
[9600/15600]	[L1: 0.4530]	11.1+0.1s
[11200/15600]	[L1: 0.4544]	11.8+0.1s
[12800/15600]	[L1: 0.4546]	11.1+0.1s
[14400/15600]	[L1: 0.4543]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.663 (Best: 54.831 @epoch 232)
Forward: 63.92s

Saving...
Total: 64.47s

[Epoch 254]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4482]	12.0+0.6s
[3200/15600]	[L1: 0.4582]	11.4+0.1s
[4800/15600]	[L1: 0.4571]	11.1+0.1s
[6400/15600]	[L1: 0.4546]	11.8+0.1s
[8000/15600]	[L1: 0.4545]	11.0+0.1s
[9600/15600]	[L1: 0.4539]	11.2+0.1s
[11200/15600]	[L1: 0.4527]	11.6+0.1s
[12800/15600]	[L1: 0.4541]	10.6+0.1s
[14400/15600]	[L1: 0.4546]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.797 (Best: 54.831 @epoch 232)
Forward: 59.18s

Saving...
Total: 59.69s

[Epoch 255]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4597]	12.4+0.8s
[3200/15600]	[L1: 0.4526]	10.9+0.1s
[4800/15600]	[L1: 0.4519]	10.5+0.1s
[6400/15600]	[L1: 0.4504]	10.2+0.1s
[8000/15600]	[L1: 0.4478]	11.3+0.1s
[9600/15600]	[L1: 0.4484]	10.7+0.1s
[11200/15600]	[L1: 0.4512]	10.4+0.1s
[12800/15600]	[L1: 0.4507]	11.3+0.1s
[14400/15600]	[L1: 0.4517]	10.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.831 (Best: 54.831 @epoch 232)
Forward: 62.08s

Saving...
Total: 62.58s

[Epoch 256]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4499]	10.8+0.6s
[3200/15600]	[L1: 0.4592]	11.3+0.1s
[4800/15600]	[L1: 0.4576]	10.8+0.1s
[6400/15600]	[L1: 0.4558]	11.0+0.1s
[8000/15600]	[L1: 0.4553]	11.6+0.1s
[9600/15600]	[L1: 0.4549]	10.9+0.1s
[11200/15600]	[L1: 0.4556]	10.6+0.1s
[12800/15600]	[L1: 0.4536]	11.6+0.1s
[14400/15600]	[L1: 0.4539]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.480 (Best: 54.831 @epoch 232)
Forward: 63.27s

Saving...
Total: 63.93s

[Epoch 257]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4463]	11.2+0.6s
[3200/15600]	[L1: 0.4463]	11.8+0.1s
[4800/15600]	[L1: 0.4537]	10.9+0.1s
[6400/15600]	[L1: 0.4518]	9.6+0.1s
[8000/15600]	[L1: 0.4516]	10.1+0.1s
[9600/15600]	[L1: 0.4543]	10.8+0.1s
[11200/15600]	[L1: 0.4559]	9.7+0.1s
[12800/15600]	[L1: 0.4545]	9.9+0.1s
[14400/15600]	[L1: 0.4548]	10.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.285 (Best: 54.831 @epoch 232)
Forward: 64.42s

Saving...
Total: 65.04s

[Epoch 258]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4540]	11.0+0.5s
[3200/15600]	[L1: 0.4532]	11.1+0.1s
[4800/15600]	[L1: 0.4549]	11.7+0.1s
[6400/15600]	[L1: 0.4535]	10.1+0.1s
[8000/15600]	[L1: 0.4551]	10.2+0.1s
[9600/15600]	[L1: 0.4547]	11.3+0.1s
[11200/15600]	[L1: 0.4541]	11.0+0.1s
[12800/15600]	[L1: 0.4535]	11.0+0.1s
[14400/15600]	[L1: 0.4539]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.816 (Best: 54.831 @epoch 232)
Forward: 62.42s

Saving...
Total: 62.97s

[Epoch 259]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4573]	11.6+0.6s
[3200/15600]	[L1: 0.4540]	11.0+0.1s
[4800/15600]	[L1: 0.4501]	10.8+0.1s
[6400/15600]	[L1: 0.4497]	11.4+0.1s
[8000/15600]	[L1: 0.4506]	10.9+0.1s
[9600/15600]	[L1: 0.4499]	10.9+0.1s
[11200/15600]	[L1: 0.4514]	11.6+0.1s
[12800/15600]	[L1: 0.4504]	10.9+0.1s
[14400/15600]	[L1: 0.4510]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.900 (Best: 54.900 @epoch 259)
Forward: 61.39s

Saving...
Total: 61.94s

[Epoch 260]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4612]	11.8+0.6s
[3200/15600]	[L1: 0.4626]	11.0+0.1s
[4800/15600]	[L1: 0.4596]	11.0+0.1s
[6400/15600]	[L1: 0.4568]	11.8+0.1s
[8000/15600]	[L1: 0.4551]	11.0+0.1s
[9600/15600]	[L1: 0.4537]	11.2+0.1s
[11200/15600]	[L1: 0.4541]	11.8+0.1s
[12800/15600]	[L1: 0.4547]	11.1+0.1s
[14400/15600]	[L1: 0.4525]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.412 (Best: 54.900 @epoch 259)
Forward: 60.74s

Saving...
Total: 61.26s

[Epoch 261]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4591]	12.3+0.8s
[3200/15600]	[L1: 0.4512]	10.8+0.1s
[4800/15600]	[L1: 0.4537]	11.1+0.1s
[6400/15600]	[L1: 0.4584]	11.5+0.1s
[8000/15600]	[L1: 0.4587]	10.4+0.1s
[9600/15600]	[L1: 0.4581]	10.8+0.1s
[11200/15600]	[L1: 0.4584]	10.9+0.1s
[12800/15600]	[L1: 0.4564]	12.4+0.1s
[14400/15600]	[L1: 0.4558]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.517 (Best: 54.900 @epoch 259)
Forward: 61.30s

Saving...
Total: 61.87s

[Epoch 262]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4681]	11.2+0.7s
[3200/15600]	[L1: 0.4614]	12.6+0.1s
[4800/15600]	[L1: 0.4554]	10.9+0.1s
[6400/15600]	[L1: 0.4530]	10.9+0.1s
[8000/15600]	[L1: 0.4553]	12.3+0.1s
[9600/15600]	[L1: 0.4544]	10.2+0.1s
[11200/15600]	[L1: 0.4553]	11.4+0.1s
[12800/15600]	[L1: 0.4537]	11.2+0.1s
[14400/15600]	[L1: 0.4542]	11.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.767 (Best: 54.900 @epoch 259)
Forward: 60.40s

Saving...
Total: 60.88s

[Epoch 263]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4663]	11.4+0.6s
[3200/15600]	[L1: 0.4690]	10.9+0.1s
[4800/15600]	[L1: 0.4589]	12.6+0.1s
[6400/15600]	[L1: 0.4581]	11.0+0.1s
[8000/15600]	[L1: 0.4532]	11.1+0.1s
[9600/15600]	[L1: 0.4542]	11.0+0.1s
[11200/15600]	[L1: 0.4541]	12.3+0.1s
[12800/15600]	[L1: 0.4531]	11.0+0.1s
[14400/15600]	[L1: 0.4538]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.758 (Best: 54.900 @epoch 259)
Forward: 60.64s

Saving...
Total: 61.15s

[Epoch 264]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4502]	12.7+0.6s
[3200/15600]	[L1: 0.4537]	10.2+0.1s
[4800/15600]	[L1: 0.4535]	10.9+0.1s
[6400/15600]	[L1: 0.4521]	12.6+0.1s
[8000/15600]	[L1: 0.4550]	10.8+0.1s
[9600/15600]	[L1: 0.4522]	11.0+0.1s
[11200/15600]	[L1: 0.4519]	12.7+0.1s
[12800/15600]	[L1: 0.4517]	11.1+0.1s
[14400/15600]	[L1: 0.4514]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.714 (Best: 54.900 @epoch 259)
Forward: 60.02s

Saving...
Total: 60.51s

[Epoch 265]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4508]	11.3+0.6s
[3200/15600]	[L1: 0.4462]	12.8+0.1s
[4800/15600]	[L1: 0.4484]	11.0+0.1s
[6400/15600]	[L1: 0.4491]	11.0+0.1s
[8000/15600]	[L1: 0.4475]	12.6+0.1s
[9600/15600]	[L1: 0.4469]	11.1+0.1s
[11200/15600]	[L1: 0.4483]	10.8+0.1s
[12800/15600]	[L1: 0.4499]	11.7+0.1s
[14400/15600]	[L1: 0.4499]	11.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.604 (Best: 54.900 @epoch 259)
Forward: 60.43s

Saving...
Total: 60.96s

[Epoch 266]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4509]	11.4+0.7s
[3200/15600]	[L1: 0.4530]	11.0+0.1s
[4800/15600]	[L1: 0.4538]	12.4+0.1s
[6400/15600]	[L1: 0.4511]	11.0+0.1s
[8000/15600]	[L1: 0.4525]	11.2+0.1s
[9600/15600]	[L1: 0.4529]	12.6+0.1s
[11200/15600]	[L1: 0.4525]	10.8+0.1s
[12800/15600]	[L1: 0.4514]	10.8+0.1s
[14400/15600]	[L1: 0.4528]	11.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.701 (Best: 54.900 @epoch 259)
Forward: 59.51s

Saving...
Total: 59.98s

[Epoch 267]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4471]	13.1+0.6s
[3200/15600]	[L1: 0.4515]	11.0+0.1s
[4800/15600]	[L1: 0.4499]	11.2+0.1s
[6400/15600]	[L1: 0.4517]	12.6+0.1s
[8000/15600]	[L1: 0.4516]	11.1+0.1s
[9600/15600]	[L1: 0.4534]	11.1+0.1s
[11200/15600]	[L1: 0.4555]	12.7+0.1s
[12800/15600]	[L1: 0.4545]	11.1+0.1s
[14400/15600]	[L1: 0.4553]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.783 (Best: 54.900 @epoch 259)
Forward: 58.56s

Saving...
Total: 59.04s

[Epoch 268]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4538]	11.3+0.6s
[3200/15600]	[L1: 0.4509]	12.5+0.1s
[4800/15600]	[L1: 0.4535]	11.0+0.1s
[6400/15600]	[L1: 0.4487]	10.9+0.1s
[8000/15600]	[L1: 0.4477]	12.5+0.1s
[9600/15600]	[L1: 0.4477]	10.9+0.1s
[11200/15600]	[L1: 0.4486]	10.6+0.1s
[12800/15600]	[L1: 0.4500]	11.3+0.1s
[14400/15600]	[L1: 0.4503]	10.4+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.198 (Best: 54.900 @epoch 259)
Forward: 60.23s

Saving...
Total: 60.76s

[Epoch 269]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4567]	11.0+0.6s
[3200/15600]	[L1: 0.4562]	10.3+0.1s
[4800/15600]	[L1: 0.4563]	11.7+0.1s
[6400/15600]	[L1: 0.4562]	10.5+0.1s
[8000/15600]	[L1: 0.4540]	10.2+0.1s
[9600/15600]	[L1: 0.4524]	11.0+0.1s
[11200/15600]	[L1: 0.4523]	10.8+0.1s
[12800/15600]	[L1: 0.4535]	10.4+0.1s
[14400/15600]	[L1: 0.4524]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.670 (Best: 54.900 @epoch 259)
Forward: 59.23s

Saving...
Total: 59.70s

[Epoch 270]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4462]	11.9+0.8s
[3200/15600]	[L1: 0.4480]	9.6+0.1s
[4800/15600]	[L1: 0.4485]	10.6+0.1s
[6400/15600]	[L1: 0.4474]	11.0+0.1s
[8000/15600]	[L1: 0.4465]	12.7+0.1s
[9600/15600]	[L1: 0.4463]	9.8+0.1s
[11200/15600]	[L1: 0.4469]	10.1+0.1s
[12800/15600]	[L1: 0.4462]	12.6+0.1s
[14400/15600]	[L1: 0.4451]	11.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.698 (Best: 54.900 @epoch 259)
Forward: 59.85s

Saving...
Total: 60.35s

[Epoch 271]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4485]	11.3+0.6s
[3200/15600]	[L1: 0.4525]	10.1+0.1s
[4800/15600]	[L1: 0.4554]	11.7+0.1s
[6400/15600]	[L1: 0.4530]	10.4+0.1s
[8000/15600]	[L1: 0.4546]	11.1+0.1s
[9600/15600]	[L1: 0.4547]	12.2+0.1s
[11200/15600]	[L1: 0.4533]	10.9+0.1s
[12800/15600]	[L1: 0.4524]	11.0+0.1s
[14400/15600]	[L1: 0.4523]	12.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.198 (Best: 54.900 @epoch 259)
Forward: 57.96s

Saving...
Total: 58.46s

[Epoch 272]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4541]	13.1+0.7s
[3200/15600]	[L1: 0.4528]	11.3+0.1s
[4800/15600]	[L1: 0.4475]	11.2+0.1s
[6400/15600]	[L1: 0.4458]	12.5+0.1s
[8000/15600]	[L1: 0.4466]	11.2+0.1s
[9600/15600]	[L1: 0.4476]	11.0+0.1s
[11200/15600]	[L1: 0.4481]	12.5+0.1s
[12800/15600]	[L1: 0.4499]	11.1+0.1s
[14400/15600]	[L1: 0.4498]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.790 (Best: 54.900 @epoch 259)
Forward: 58.71s

Saving...
Total: 59.21s

[Epoch 273]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4480]	11.8+0.6s
[3200/15600]	[L1: 0.4460]	10.9+0.1s
[4800/15600]	[L1: 0.4470]	9.7+0.1s
[6400/15600]	[L1: 0.4487]	9.9+0.1s
[8000/15600]	[L1: 0.4508]	10.7+0.1s
[9600/15600]	[L1: 0.4527]	10.1+0.1s
[11200/15600]	[L1: 0.4510]	10.2+0.1s
[12800/15600]	[L1: 0.4526]	10.2+0.1s
[14400/15600]	[L1: 0.4531]	11.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.568 (Best: 54.900 @epoch 259)
Forward: 59.45s

Saving...
Total: 59.98s

[Epoch 274]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4532]	11.4+0.8s
[3200/15600]	[L1: 0.4530]	11.0+0.1s
[4800/15600]	[L1: 0.4542]	12.5+0.1s
[6400/15600]	[L1: 0.4511]	11.0+0.1s
[8000/15600]	[L1: 0.4529]	11.0+0.1s
[9600/15600]	[L1: 0.4516]	11.3+0.1s
[11200/15600]	[L1: 0.4523]	12.6+0.1s
[12800/15600]	[L1: 0.4506]	11.4+0.1s
[14400/15600]	[L1: 0.4506]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.768 (Best: 54.900 @epoch 259)
Forward: 59.89s

Saving...
Total: 60.36s

[Epoch 275]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4580]	12.7+0.7s
[3200/15600]	[L1: 0.4534]	11.2+0.1s
[4800/15600]	[L1: 0.4525]	10.6+0.1s
[6400/15600]	[L1: 0.4511]	12.4+0.1s
[8000/15600]	[L1: 0.4503]	11.0+0.1s
[9600/15600]	[L1: 0.4514]	11.2+0.1s
[11200/15600]	[L1: 0.4514]	13.0+0.1s
[12800/15600]	[L1: 0.4508]	10.9+0.1s
[14400/15600]	[L1: 0.4524]	11.5+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.670 (Best: 54.900 @epoch 259)
Forward: 57.24s

Saving...
Total: 57.72s

[Epoch 276]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4462]	11.0+0.7s
[3200/15600]	[L1: 0.4459]	12.5+0.1s
[4800/15600]	[L1: 0.4478]	10.9+0.1s
[6400/15600]	[L1: 0.4508]	11.0+0.1s
[8000/15600]	[L1: 0.4517]	12.6+0.1s
[9600/15600]	[L1: 0.4510]	11.1+0.1s
[11200/15600]	[L1: 0.4502]	11.0+0.1s
[12800/15600]	[L1: 0.4506]	12.5+0.1s
[14400/15600]	[L1: 0.4507]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.689 (Best: 54.900 @epoch 259)
Forward: 58.31s

Saving...
Total: 58.86s

[Epoch 277]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4387]	11.0+0.6s
[3200/15600]	[L1: 0.4433]	10.9+0.1s
[4800/15600]	[L1: 0.4452]	12.4+0.1s
[6400/15600]	[L1: 0.4441]	10.8+0.1s
[8000/15600]	[L1: 0.4446]	11.0+0.1s
[9600/15600]	[L1: 0.4454]	11.6+0.1s
[11200/15600]	[L1: 0.4465]	11.5+0.1s
[12800/15600]	[L1: 0.4457]	10.7+0.1s
[14400/15600]	[L1: 0.4459]	10.8+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.707 (Best: 54.900 @epoch 259)
Forward: 57.27s

Saving...
Total: 57.76s

[Epoch 278]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4480]	12.6+0.7s
[3200/15600]	[L1: 0.4478]	11.3+0.1s
[4800/15600]	[L1: 0.4509]	11.0+0.1s
[6400/15600]	[L1: 0.4534]	12.7+0.1s
[8000/15600]	[L1: 0.4521]	10.9+0.1s
[9600/15600]	[L1: 0.4502]	11.0+0.1s
[11200/15600]	[L1: 0.4484]	10.9+0.1s
[12800/15600]	[L1: 0.4500]	12.5+0.1s
[14400/15600]	[L1: 0.4485]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.658 (Best: 54.900 @epoch 259)
Forward: 59.08s

Saving...
Total: 59.57s

[Epoch 279]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4523]	11.4+0.7s
[3200/15600]	[L1: 0.4536]	12.5+0.1s
[4800/15600]	[L1: 0.4528]	11.3+0.1s
[6400/15600]	[L1: 0.4553]	11.0+0.1s
[8000/15600]	[L1: 0.4555]	11.8+0.1s
[9600/15600]	[L1: 0.4553]	11.8+0.1s
[11200/15600]	[L1: 0.4546]	11.1+0.1s
[12800/15600]	[L1: 0.4549]	11.3+0.1s
[14400/15600]	[L1: 0.4545]	12.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.574 (Best: 54.900 @epoch 259)
Forward: 59.13s

Saving...
Total: 59.61s

[Epoch 280]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4644]	11.1+0.7s
[3200/15600]	[L1: 0.4562]	10.7+0.1s
[4800/15600]	[L1: 0.4564]	10.4+0.1s
[6400/15600]	[L1: 0.4525]	11.0+0.1s
[8000/15600]	[L1: 0.4517]	9.0+0.1s
[9600/15600]	[L1: 0.4522]	10.1+0.1s
[11200/15600]	[L1: 0.4522]	11.2+0.1s
[12800/15600]	[L1: 0.4508]	10.4+0.1s
[14400/15600]	[L1: 0.4505]	10.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.639 (Best: 54.900 @epoch 259)
Forward: 61.09s

Saving...
Total: 61.60s

[Epoch 281]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4427]	12.1+0.6s
[3200/15600]	[L1: 0.4443]	10.9+0.1s
[4800/15600]	[L1: 0.4477]	11.1+0.1s
[6400/15600]	[L1: 0.4495]	11.9+0.1s
[8000/15600]	[L1: 0.4525]	11.0+0.1s
[9600/15600]	[L1: 0.4530]	11.1+0.1s
[11200/15600]	[L1: 0.4527]	11.9+0.1s
[12800/15600]	[L1: 0.4516]	11.1+0.1s
[14400/15600]	[L1: 0.4508]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.683 (Best: 54.900 @epoch 259)
Forward: 59.98s

Saving...
Total: 60.46s

[Epoch 282]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4413]	12.2+0.5s
[3200/15600]	[L1: 0.4445]	11.4+0.1s
[4800/15600]	[L1: 0.4434]	10.6+0.1s
[6400/15600]	[L1: 0.4451]	12.0+0.1s
[8000/15600]	[L1: 0.4458]	11.1+0.1s
[9600/15600]	[L1: 0.4478]	11.1+0.1s
[11200/15600]	[L1: 0.4474]	12.1+0.1s
[12800/15600]	[L1: 0.4477]	11.2+0.1s
[14400/15600]	[L1: 0.4491]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.788 (Best: 54.900 @epoch 259)
Forward: 63.52s

Saving...
Total: 64.04s

[Epoch 283]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4528]	11.8+0.6s
[3200/15600]	[L1: 0.4493]	11.0+0.1s
[4800/15600]	[L1: 0.4480]	10.9+0.1s
[6400/15600]	[L1: 0.4480]	11.7+0.1s
[8000/15600]	[L1: 0.4469]	11.1+0.1s
[9600/15600]	[L1: 0.4466]	10.9+0.1s
[11200/15600]	[L1: 0.4469]	11.9+0.1s
[12800/15600]	[L1: 0.4470]	11.1+0.1s
[14400/15600]	[L1: 0.4466]	11.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.850 (Best: 54.900 @epoch 259)
Forward: 61.09s

Saving...
Total: 61.58s

[Epoch 284]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4423]	11.5+0.6s
[3200/15600]	[L1: 0.4481]	11.5+0.1s
[4800/15600]	[L1: 0.4467]	10.5+0.1s
[6400/15600]	[L1: 0.4476]	10.8+0.1s
[8000/15600]	[L1: 0.4480]	11.6+0.1s
[9600/15600]	[L1: 0.4474]	11.0+0.1s
[11200/15600]	[L1: 0.4464]	10.7+0.1s
[12800/15600]	[L1: 0.4475]	11.7+0.1s
[14400/15600]	[L1: 0.4470]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 53.603 (Best: 54.900 @epoch 259)
Forward: 57.82s

Saving...
Total: 58.36s

[Epoch 285]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4622]	12.0+0.7s
[3200/15600]	[L1: 0.4502]	12.3+0.1s
[4800/15600]	[L1: 0.4446]	11.8+0.1s
[6400/15600]	[L1: 0.4465]	11.0+0.1s
[8000/15600]	[L1: 0.4500]	11.1+0.1s
[9600/15600]	[L1: 0.4490]	12.6+0.1s
[11200/15600]	[L1: 0.4480]	11.0+0.1s
[12800/15600]	[L1: 0.4473]	11.1+0.1s
[14400/15600]	[L1: 0.4469]	12.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.559 (Best: 54.900 @epoch 259)
Forward: 56.69s

Saving...
Total: 57.20s

[Epoch 286]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4410]	12.6+0.6s
[3200/15600]	[L1: 0.4463]	11.2+0.1s
[4800/15600]	[L1: 0.4438]	11.3+0.1s
[6400/15600]	[L1: 0.4445]	12.7+0.1s
[8000/15600]	[L1: 0.4442]	10.9+0.1s
[9600/15600]	[L1: 0.4444]	11.1+0.1s
[11200/15600]	[L1: 0.4447]	12.4+0.1s
[12800/15600]	[L1: 0.4448]	11.1+0.1s
[14400/15600]	[L1: 0.4457]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.716 (Best: 54.900 @epoch 259)
Forward: 57.49s

Saving...
Total: 58.01s

[Epoch 287]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4542]	12.4+0.7s
[3200/15600]	[L1: 0.4520]	11.4+0.1s
[4800/15600]	[L1: 0.4501]	11.2+0.1s
[6400/15600]	[L1: 0.4493]	11.1+0.1s
[8000/15600]	[L1: 0.4483]	12.2+0.1s
[9600/15600]	[L1: 0.4485]	11.2+0.1s
[11200/15600]	[L1: 0.4488]	10.9+0.1s
[12800/15600]	[L1: 0.4491]	12.6+0.1s
[14400/15600]	[L1: 0.4499]	11.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.771 (Best: 54.900 @epoch 259)
Forward: 59.04s

Saving...
Total: 59.59s

[Epoch 288]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4603]	11.4+0.6s
[3200/15600]	[L1: 0.4508]	12.6+0.1s
[4800/15600]	[L1: 0.4515]	10.9+0.1s
[6400/15600]	[L1: 0.4507]	11.0+0.1s
[8000/15600]	[L1: 0.4470]	11.2+0.1s
[9600/15600]	[L1: 0.4480]	12.2+0.1s
[11200/15600]	[L1: 0.4485]	11.0+0.1s
[12800/15600]	[L1: 0.4483]	11.0+0.1s
[14400/15600]	[L1: 0.4470]	12.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.620 (Best: 54.900 @epoch 259)
Forward: 59.14s

Saving...
Total: 59.83s

[Epoch 289]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4355]	11.9+0.6s
[3200/15600]	[L1: 0.4427]	11.1+0.1s
[4800/15600]	[L1: 0.4476]	11.0+0.1s
[6400/15600]	[L1: 0.4463]	12.0+0.1s
[8000/15600]	[L1: 0.4457]	10.9+0.1s
[9600/15600]	[L1: 0.4462]	10.4+0.1s
[11200/15600]	[L1: 0.4467]	11.8+0.1s
[12800/15600]	[L1: 0.4467]	11.0+0.1s
[14400/15600]	[L1: 0.4463]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.717 (Best: 54.900 @epoch 259)
Forward: 57.86s

Saving...
Total: 58.35s

[Epoch 290]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4385]	12.2+0.5s
[3200/15600]	[L1: 0.4442]	11.2+0.1s
[4800/15600]	[L1: 0.4490]	10.3+0.1s
[6400/15600]	[L1: 0.4470]	11.5+0.1s
[8000/15600]	[L1: 0.4478]	10.6+0.1s
[9600/15600]	[L1: 0.4457]	10.5+0.1s
[11200/15600]	[L1: 0.4476]	11.0+0.1s
[12800/15600]	[L1: 0.4470]	11.8+0.1s
[14400/15600]	[L1: 0.4471]	11.0+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.599 (Best: 54.900 @epoch 259)
Forward: 59.77s

Saving...
Total: 60.34s

[Epoch 291]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4425]	11.4+0.8s
[3200/15600]	[L1: 0.4448]	12.7+0.1s
[4800/15600]	[L1: 0.4463]	11.1+0.1s
[6400/15600]	[L1: 0.4438]	11.0+0.1s
[8000/15600]	[L1: 0.4444]	12.6+0.1s
[9600/15600]	[L1: 0.4437]	11.1+0.1s
[11200/15600]	[L1: 0.4420]	11.1+0.1s
[12800/15600]	[L1: 0.4414]	11.8+0.1s
[14400/15600]	[L1: 0.4428]	11.2+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.799 (Best: 54.900 @epoch 259)
Forward: 57.71s

Saving...
Total: 58.21s

[Epoch 292]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4266]	11.2+0.6s
[3200/15600]	[L1: 0.4351]	11.2+0.1s
[4800/15600]	[L1: 0.4423]	12.6+0.1s
[6400/15600]	[L1: 0.4416]	11.0+0.1s
[8000/15600]	[L1: 0.4417]	11.0+0.1s
[9600/15600]	[L1: 0.4435]	12.6+0.1s
[11200/15600]	[L1: 0.4454]	11.3+0.1s
[12800/15600]	[L1: 0.4458]	11.1+0.1s
[14400/15600]	[L1: 0.4443]	12.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.164 (Best: 54.900 @epoch 259)
Forward: 57.38s

Saving...
Total: 57.88s

[Epoch 293]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4425]	13.0+0.6s
[3200/15600]	[L1: 0.4494]	11.0+0.1s
[4800/15600]	[L1: 0.4486]	11.0+0.1s
[6400/15600]	[L1: 0.4464]	12.2+0.1s
[8000/15600]	[L1: 0.4481]	11.1+0.1s
[9600/15600]	[L1: 0.4494]	11.0+0.1s
[11200/15600]	[L1: 0.4490]	12.6+0.1s
[12800/15600]	[L1: 0.4492]	11.0+0.1s
[14400/15600]	[L1: 0.4488]	11.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.165 (Best: 54.900 @epoch 259)
Forward: 56.77s

Saving...
Total: 57.31s

[Epoch 294]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4569]	10.9+0.6s
[3200/15600]	[L1: 0.4565]	11.8+0.1s
[4800/15600]	[L1: 0.4533]	10.6+0.1s
[6400/15600]	[L1: 0.4515]	10.7+0.1s
[8000/15600]	[L1: 0.4484]	11.9+0.1s
[9600/15600]	[L1: 0.4465]	11.0+0.1s
[11200/15600]	[L1: 0.4466]	11.1+0.1s
[12800/15600]	[L1: 0.4476]	10.6+0.1s
[14400/15600]	[L1: 0.4471]	12.3+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.868 (Best: 54.900 @epoch 259)
Forward: 60.70s

Saving...
Total: 61.19s

[Epoch 295]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4495]	11.3+0.6s
[3200/15600]	[L1: 0.4462]	11.0+0.1s
[4800/15600]	[L1: 0.4424]	12.6+0.1s
[6400/15600]	[L1: 0.4407]	11.2+0.1s
[8000/15600]	[L1: 0.4394]	11.0+0.1s
[9600/15600]	[L1: 0.4399]	12.7+0.1s
[11200/15600]	[L1: 0.4424]	11.1+0.1s
[12800/15600]	[L1: 0.4427]	11.0+0.1s
[14400/15600]	[L1: 0.4439]	12.6+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.529 (Best: 54.900 @epoch 259)
Forward: 61.16s

Saving...
Total: 61.95s

[Epoch 296]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4470]	12.1+0.9s
[3200/15600]	[L1: 0.4541]	11.2+0.1s
[4800/15600]	[L1: 0.4530]	10.7+0.1s
[6400/15600]	[L1: 0.4511]	12.5+0.1s
[8000/15600]	[L1: 0.4507]	11.0+0.1s
[9600/15600]	[L1: 0.4493]	10.8+0.1s
[11200/15600]	[L1: 0.4489]	12.5+0.1s
[12800/15600]	[L1: 0.4497]	10.9+0.1s
[14400/15600]	[L1: 0.4494]	10.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.515 (Best: 54.900 @epoch 259)
Forward: 56.81s

Saving...
Total: 57.32s

[Epoch 297]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4512]	11.3+0.7s
[3200/15600]	[L1: 0.4489]	12.7+0.1s
[4800/15600]	[L1: 0.4459]	11.5+0.1s
[6400/15600]	[L1: 0.4453]	11.4+0.1s
[8000/15600]	[L1: 0.4451]	12.7+0.1s
[9600/15600]	[L1: 0.4453]	11.0+0.1s
[11200/15600]	[L1: 0.4460]	11.0+0.1s
[12800/15600]	[L1: 0.4459]	12.7+0.1s
[14400/15600]	[L1: 0.4448]	10.9+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.779 (Best: 54.900 @epoch 259)
Forward: 59.01s

Saving...
Total: 59.55s

[Epoch 298]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4380]	11.1+0.6s
[3200/15600]	[L1: 0.4483]	9.8+0.1s
[4800/15600]	[L1: 0.4462]	11.1+0.1s
[6400/15600]	[L1: 0.4494]	10.2+0.1s
[8000/15600]	[L1: 0.4502]	11.0+0.1s
[9600/15600]	[L1: 0.4508]	12.5+0.1s
[11200/15600]	[L1: 0.4487]	11.0+0.1s
[12800/15600]	[L1: 0.4494]	11.0+0.1s
[14400/15600]	[L1: 0.4481]	12.7+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.562 (Best: 54.900 @epoch 259)
Forward: 59.58s

Saving...
Total: 60.79s

[Epoch 299]	Learning rate: 2.50e-5
[1600/15600]	[L1: 0.4570]	11.7+0.7s
[3200/15600]	[L1: 0.4473]	10.0+0.1s
[4800/15600]	[L1: 0.4414]	10.0+0.1s
[6400/15600]	[L1: 0.4422]	11.4+0.1s
[8000/15600]	[L1: 0.4446]	10.0+0.1s
[9600/15600]	[L1: 0.4437]	10.0+0.1s
[11200/15600]	[L1: 0.4450]	11.3+0.1s
[12800/15600]	[L1: 0.4456]	10.0+0.1s
[14400/15600]	[L1: 0.4467]	10.1+0.1s

Evaluation:
[DIV2K x1]	PSNR: 54.801 (Best: 54.900 @epoch 259)
Forward: 61.23s

Saving...
Total: 61.74s