neuronxcc-2.19.8089.0+8ab9f450/MODULE_0219e831452f3e9b80e6/config.json

{
  "architectures": [
    "MobileNetV2Model"
  ],
  "classifier_dropout_prob": 0.1,
  "depth_divisible_by": 8,
  "depth_multiplier": 0.25,
  "expand_ratio": 6,
  "finegrained_output": true,
  "first_layer_is_expansion": true,
  "hidden_act": "relu6",
  "image_size": 32,
  "initializer_range": 0.02,
  "layer_norm_eps": 0.001,
  "min_depth": 8,
  "model_type": "mobilenet_v2",
  "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": "mobilenet-v2",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "logits"
    ],
    "static_batch_size": 1,
    "static_image_size": 32,
    "static_num_channels": 3,
    "task": "image-segmentation",
    "tensor_parallel_size": 1
  },
  "num_channels": 3,
  "output_stride": 32,
  "semantic_loss_ignore_index": 255,
  "tf_padding": true,
  "torch_dtype": "float32",
  "torchscript": true,
  "transformers_version": "4.55.4"
}