wgan_mnist.yaml

epochs: 200
output_dir: output_dir

model:
  name: GANModel
  generator:
    name: DeepConvGenerator
    latent_dim: 128
    output_nc: 1
    size: 28
    ngf: 64
  discriminator:
    name: NLayerDiscriminator
    ndf: 16
    n_layers: 3
    input_nc: 1
    norm_type: instance
  gan_mode: wgan
  n_critic: 5

dataset:
  train:
    name: CommonVisionDataset
    class_name: MNIST
    dataroot: None
    num_workers: 4
    batch_size: 64
    mode: train
    return_cls: False
    transforms:
      - name: Normalize
        mean: [127.5]
        std: [127.5]
        keys: [image]
  test:
    name: CommonVisionDataset
    class_name: MNIST
    dataroot: None
    num_workers: 0
    batch_size: 64
    mode: test
    transforms:
      - name: Normalize
        mean: [127.5]
        std: [127.5]
        keys: [image]
    return_cls: False


optimizer:
  name: Adam
  beta1: 0.5

lr_scheduler:
  name: linear
  learning_rate: 0.0002
  start_epoch: 100
  decay_epochs: 100

log_config:
  interval: 100
  visiual_interval: 500

snapshot_config:
  interval: 5