INPUT:
  SIZE: (32, 32)
  TRANSFORMS: ["random_crop", "normalize"]
  PIXEL_MEAN: [0.5, 0.5, 0.5]
  PIXEL_STD: [0.5, 0.5, 0.5]
  CROP_PADDING: 4

DATASET:
  NAME: "SVHN"
  NUM_LABELED: 1000
  VAL_PERCENT: 0.

MODEL:
  BACKBONE:
    NAME: "wide_resnet_28_2"