name: MUNIT-edges2shoes
engine: MUNIT
result_dir: ./result
max_pairs: 1000000

handler:
  clear_cuda_cache: True
  set_epoch_for_dist_sampler: True
  checkpoint:
    epoch_interval: 1 # checkpoint once per `epoch_interval` epoch
    n_saved: 2
  tensorboard:
    scalar: 100 # log scalar `scalar` times per epoch
    image: 2 # log image `image` times per epoch


misc:
  random_seed: 324

model:
  generator:
    _type: MUNIT-Generator
    in_channels: 3
    out_channels: 3
    base_channels: 64
    num_sampling: 2
    num_style_dim: 8
    num_style_conv: 4
    num_content_res_blocks: 4
    num_decoder_res_blocks: 4
    num_fusion_dim: 256
    num_fusion_blocks: 3

  discriminator:
    _type: MultiScaleDiscriminator
    num_scale: 2
    discriminator_cfg:
      _type: PatchDiscriminator
      in_channels: 3
      base_channels: 64
      use_spectral: True
      need_intermediate_feature: True

loss:
  gan:
    loss_type: lsgan
    real_label_val: 1.0
    fake_label_val: 0.0
    weight: 1.0
  perceptual:
    layer_weights:
      "1": 0.03125
      "6": 0.0625
      "11": 0.125
      "20": 0.25
      "29": 1
    criterion: 'L1'
    style_loss: False
    perceptual_loss: True
    weight: 0
  recon:
    level: 1
    style:
      weight: 1
    content:
      weight: 1
    image:
      weight: 10
    cycle:
      weight: 0

optimizers:
  generator:
    _type: Adam
    lr: 0.0001
    betas: [ 0.5, 0.999 ]
    weight_decay: 0.0001
  discriminator:
    _type: Adam
    lr: 4e-4
    betas: [ 0.5, 0.999 ]
    weight_decay: 0.0001

data:
  train:
    scheduler:
      start_proportion: 0.5
      target_lr: 0
    buffer_size: 50
    dataloader:
      batch_size: 1
      shuffle: True
      num_workers: 1
      pin_memory: True
      drop_last: True
    dataset:
      _type: GenerationUnpairedDataset
      root_a: "/data/i2i/edges2shoes/trainA"
      root_b: "/data/i2i/edges2shoes/trainB"
      random_pair: True
      pipeline:
        - Load
        - Resize:
            size: [ 286, 286 ]
        - RandomCrop:
            size: [ 256, 256 ]
        - RandomHorizontalFlip
        - ToTensor
        - Normalize:
            mean: [ 0.5, 0.5, 0.5 ]
            std: [ 0.5, 0.5, 0.5 ]
  test:
    which: dataset
    dataloader:
      batch_size: 8
      shuffle: False
      num_workers: 1
      pin_memory: False
      drop_last: False
    dataset:
      _type: GenerationUnpairedDataset
      root_a: "/data/i2i/edges2shoes/testA"
      root_b: "/data/i2i/edges2shoes/testB"
      random_pair: False
      pipeline:
        - Load
        - Resize:
            size: [ 256, 256 ]
        - ToTensor
        - Normalize:
            mean: [ 0.5, 0.5, 0.5 ]
            std: [ 0.5, 0.5, 0.5 ]