133 lines
2.6 KiB
YAML
133 lines
2.6 KiB
YAML
name: MUNIT-edges2shoes
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engine: MUNIT
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result_dir: ./result
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max_pairs: 1000000
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handler:
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clear_cuda_cache: True
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set_epoch_for_dist_sampler: True
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checkpoint:
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epoch_interval: 1 # checkpoint once per `epoch_interval` epoch
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n_saved: 2
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tensorboard:
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scalar: 100 # log scalar `scalar` times per epoch
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image: 2 # log image `image` times per epoch
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misc:
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random_seed: 324
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model:
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generator:
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_type: MUNIT-Generator
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in_channels: 3
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out_channels: 3
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base_channels: 64
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num_sampling: 2
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num_style_dim: 8
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num_style_conv: 4
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num_content_res_blocks: 4
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num_decoder_res_blocks: 4
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num_fusion_dim: 256
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num_fusion_blocks: 3
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discriminator:
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_type: MultiScaleDiscriminator
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num_scale: 2
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discriminator_cfg:
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_type: PatchDiscriminator
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in_channels: 3
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base_channels: 64
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use_spectral: True
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need_intermediate_feature: True
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loss:
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gan:
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loss_type: lsgan
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real_label_val: 1.0
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fake_label_val: 0.0
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weight: 1.0
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perceptual:
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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: 'L1'
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style_loss: False
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perceptual_loss: True
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weight: 0
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recon:
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level: 1
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style:
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weight: 1
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content:
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weight: 1
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image:
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weight: 10
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cycle:
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weight: 0
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optimizers:
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generator:
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_type: Adam
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lr: 0.0001
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betas: [ 0.5, 0.999 ]
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weight_decay: 0.0001
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discriminator:
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_type: Adam
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lr: 4e-4
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betas: [ 0.5, 0.999 ]
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weight_decay: 0.0001
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data:
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train:
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scheduler:
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start_proportion: 0.5
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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: 1
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shuffle: True
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num_workers: 1
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pin_memory: True
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drop_last: True
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dataset:
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_type: GenerationUnpairedDataset
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root_a: "/data/i2i/edges2shoes/trainA"
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root_b: "/data/i2i/edges2shoes/trainB"
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random_pair: True
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pipeline:
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- Load
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- Resize:
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size: [ 286, 286 ]
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- RandomCrop:
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size: [ 256, 256 ]
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- RandomHorizontalFlip
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- ToTensor
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- Normalize:
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mean: [ 0.5, 0.5, 0.5 ]
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std: [ 0.5, 0.5, 0.5 ]
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test:
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which: dataset
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dataloader:
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batch_size: 8
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shuffle: False
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num_workers: 1
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pin_memory: False
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drop_last: False
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dataset:
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_type: GenerationUnpairedDataset
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root_a: "/data/i2i/edges2shoes/testA"
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root_b: "/data/i2i/edges2shoes/testB"
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random_pair: False
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pipeline:
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- Load
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- Resize:
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size: [ 256, 256 ]
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- ToTensor
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- Normalize:
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mean: [ 0.5, 0.5, 0.5 ]
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std: [ 0.5, 0.5, 0.5 ]
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