neuronxcc-2.19.8089.0+8ab9f450/MODULE_0ca055684d61c552e3ec/config.json

{
  "architectures": [
    "SwinModel"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    1,
    2,
    1
  ],
  "drop_path_rate": 0.1,
  "embed_dim": 16,
  "encoder_stride": 8,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 64,
  "image_size": 32,
  "initializer_range": 0.02,
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 2.0,
  "model_type": "swin",
  "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": true,
    "float_dtype": "fp32",
    "inline_weights_to_neff": true,
    "input_names": [
      "pixel_values"
    ],
    "int_dtype": "int64",
    "model_type": "swin",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "logits"
    ],
    "static_batch_size": 1,
    "static_image_size": 32,
    "static_num_channels": 3,
    "static_patch_size": 2,
    "task": "image-classification",
    "tensor_parallel_size": 1
  },
  "num_channels": 3,
  "num_heads": [
    2,
    2,
    4
  ],
  "num_layers": 3,
  "out_features": [
    "stage3"
  ],
  "out_indices": [
    3
  ],
  "patch_size": 2,
  "path_norm": true,
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3"
  ],
  "torch_dtype": "float32",
  "torchscript": true,
  "transformers_version": "4.55.4",
  "use_absolute_embeddings": false,
  "window_size": 2
}