seed: 5678
data:
  name: FFHQ
  dataroot: ~/data/FFHQ/
  img_size: 256
  img_channels: 3
dataloader:
  num_workers: 64
  pin_memory: true
  prefetch_factor: 2
G:
  target: models.eigengan.Generator
  params:
    n_basis: 6
    noise_dim: 512
    out_dim: 3
    dim: 16
    dim_mults:
    - 32
    - 16
    - 8
    - 4
    - 2
    - 1
    with_bn: false
    with_tanh: true
D:
  target: models.eigengan.Discriminator
  params:
    in_dim: 3
    dim: 16
    dim_mults:
    - 2
    - 4
    - 8
    - 16
    - 32
    - 32
    with_bn: false
train:
  n_steps: 500000
  batch_size: 64
  resume: null
  print_freq: 100
  save_freq: 10000
  sample_freq: 1000
  n_samples: 25
  d_iters: 1
  ortho_reg: 1.0
  ema_decay: 0.999
  loss_fn:
    target: losses.hinge_loss.HingeLoss
    params:
      lambda_r1_reg: 10.0
  optim_G:
    target: torch.optim.Adam
    params:
      lr: 0.0001
      betas:
      - 0.5
      - 0.999
  optim_D:
    target: torch.optim.Adam
    params:
      lr: 0.0001
      betas:
      - 0.5
      - 0.999