optimum-neuron-cache
/
neuronxcc-2.15.128.0+56dc5a86
/0_REGISTRY
/0.0.25.dev0
/inference
/mobilenet_v2
/hf-internal-testing
/tiny-random-MobileNetV2Model
/f4dd705de07c8a349cae.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": "2.15.128.0+56dc5a86", "disable_fallback": false, "disable_fast_relayout": false, "dynamic_batch_size": false, "inline_weights_to_neff": true, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_image_size": 32, "static_num_channels": 3}, "num_channels": 3, "output_stride": 32, "semantic_loss_ignore_index": 255, "task": "image-segmentation", "tf_padding": true} |