name: cross-domain
engine: crossdomain
result_dir: ./result

distributed:
  model:
    # broadcast_buffers: False

misc:
  random_seed: 1004

checkpoints:
  interval: 2000

log:
  logger:
    level: 20 # DEBUG(10) INFO(20)

model:
  _type: resnet10

baseline:
  plusplus: False
  optimizers:
    _type: Adam
  data:
    dataloader:
      batch_size: 1024
      shuffle: True
      num_workers: 16
      pin_memory: True
      drop_last: True
    dataset:
      train:
        path: /data/few-shot/mini_imagenet_full_size/train
        pipeline:
          - RandomResizedCrop:
              size: [256, 256]
          - ColorJitter:
              brightness: 0.4
              contrast: 0.4
              saturation: 0.4
          - RandomHorizontalFlip
          - ToTensor
          - Normalize:
              mean: [0.485, 0.456, 0.406]
              std: [0.229, 0.224, 0.225]
      val:
        path: /data/few-shot/mini_imagenet_full_size/val
        pipeline:
          - Resize:
              size: [286, 286]
          - RandomCrop:
              size: [256, 256]
          - ToTensor
          - Normalize:
              mean: [0.485, 0.456, 0.406]
              std: [0.229, 0.224, 0.225]