config.json

{
  "architecture": "resnet18",
  "num_classes": 1000,
  "num_features": 512,
  "global_pool": "avg",
  "pretrained_cfg": {
    "rngs": 42,
    "tag": "a3_in1k",
    "architecture": "resnet18",
    "input_size": [
      160,
      160,
      3
    ],
    "interpolation": "bicubic",
    "crop_pct": 0.95,
    "crop_mode": "center",
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ],
    "num_classes": 1000,
    "pool_size": [
      5,
      5
    ],
    "first_conv": "conv1",
    "classifier": "fc",
    "test_input_size": [
      224,
      224,
      3
    ],
    "test_crop_pct": 0.95,
    "origin_url": "https://github.com/Xrenya/jaxnn",
    "paper_ids": "arXiv:2110.00476"
  }
}