text: _base_ = [
      '../_base_/models/dcgan/dcgan_64x64.py',
      '../_base_/datasets/unconditional_imgs_64x64.py',
      '../_base_/default_runtime.py'
  ]
  
  # define dataset
  # you must set `samples_per_gpu` and `imgs_root`
  data = dict(
      samples_per_gpu=128, train=dict(imgs_root='data/lsun/bedroom_train'))
  
  # adjust running config
  lr_config = None
  checkpoint_config = dict(interval=100000, by_epoch=False)
  custom_hooks = [
      dict(
          type='VisualizeUnconditionalSamples',
          output_dir='training_samples',
          interval=10000)
  ]
  
  total_iters = 1500002
  
  metrics = dict(
      ms_ssim10k=dict(type='MS_SSIM', num_images=10000),
      swd16k=dict(type='SWD', num_images=16384, image_shape=(3, 64, 64)))
  