| { |
| "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" |
| } |
|
|
