config.json

{
  "architecture": "resnetv2_50d_gn",
  "num_classes": 1000,
  "num_features": 2048,
  "pretrained_cfg": {
    "tag": "ah_in1k",
    "custom_load": false,
    "input_size": [
      3,
      224,
      224
    ],
    "test_input_size": [
      3,
      288,
      288
    ],
    "fixed_input_size": false,
    "interpolation": "bicubic",
    "crop_pct": 0.95,
    "crop_mode": "center",
    "mean": [
      0.5,
      0.5,
      0.5
    ],
    "std": [
      0.5,
      0.5,
      0.5
    ],
    "num_classes": 1000,
    "pool_size": [
      7,
      7
    ],
    "first_conv": "stem.conv1",
    "classifier": "head.fc"
  }
}