TAFG good result
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@@ -23,7 +23,8 @@ model:
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_bn_to_sync_bn: False
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style_in_channels: 3
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content_in_channels: 24
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num_blocks: 8
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num_adain_blocks: 8
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num_res_blocks: 0
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discriminator:
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_type: MultiScaleDiscriminator
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num_scale: 2
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@@ -47,21 +48,17 @@ loss:
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"11": 0.125
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"20": 0.25
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"29": 1
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criterion: 'L2'
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criterion: 'L1'
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style_loss: False
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perceptual_loss: True
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weight: 0.5
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weight: 10
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style:
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layer_weights:
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"1": 0.03125
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"6": 0.0625
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"11": 0.125
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"20": 0.25
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"29": 1
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criterion: 'L2'
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"3": 1
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criterion: 'L1'
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style_loss: True
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perceptual_loss: False
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weight: 0
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weight: 10
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fm:
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level: 1
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weight: 10
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@@ -71,6 +68,9 @@ loss:
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style_recon:
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level: 1
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weight: 0
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edge:
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weight: 10
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hed_pretrained_model_path: ./network-bsds500.pytorch
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optimizers:
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generator:
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@@ -91,7 +91,7 @@ data:
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target_lr: 0
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buffer_size: 50
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dataloader:
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batch_size: 24
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batch_size: 8
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shuffle: True
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num_workers: 2
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pin_memory: True
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