neuronxcc-2.19.8089.0+8ab9f450/MODULE_0ad6e67d0b4363af0472/config.json

{
  "architectures": [
    "ConvNextV2Model"
  ],
  "depths": [
    2,
    2,
    3,
    2
  ],
  "drop_path_rate": 0.0,
  "hidden_act": "gelu",
  "hidden_sizes": [
    10,
    20,
    30,
    40
  ],
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-12,
  "model_type": "convnextv2",
  "neuron": {
    "auto_cast": null,
    "auto_cast_type": null,
    "compiler_type": "neuronx-cc",
    "compiler_version": "2.19.8089.0+8ab9f450",
    "disable_fallback": false,
    "disable_fast_relayout": false,
    "dynamic_batch_size": false,
    "float_dtype": "fp32",
    "inline_weights_to_neff": true,
    "input_names": [
      "pixel_values"
    ],
    "int_dtype": "int64",
    "model_type": "convnextv2",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "logits"
    ],
    "static_batch_size": 1,
    "static_image_size": 224,
    "static_num_channels": 3,
    "static_patch_size": 4,
    "task": "image-classification",
    "tensor_parallel_size": 1
  },
  "num_channels": 3,
  "num_stages": 4,
  "out_features": [
    "stage2",
    "stage3",
    "stage4"
  ],
  "out_indices": [
    2,
    3,
    4
  ],
  "patch_size": 4,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "torchscript": true,
  "transformers_version": "4.55.4"
}