config.json

{
  "architecture": "coatnet_rmlp_2_rw_384",
  "num_classes": 1000,
  "num_features": 1024,
  "global_pool": "avg",
  "pretrained_cfg": {
    "tag": "sw_in12k_ft_in1k",
    "custom_load": false,
    "input_size": [
      3,
      384,
      384
    ],
    "fixed_input_size": true,
    "interpolation": "bicubic",
    "crop_pct": 1.0,
    "crop_mode": "squash",
    "mean": [
      0.5,
      0.5,
      0.5
    ],
    "std": [
      0.5,
      0.5,
      0.5
    ],
    "num_classes": 1000,
    "pool_size": [
      12,
      12
    ],
    "first_conv": "stem.conv1",
    "classifier": "head.fc"
  }
}