neuronxcc-2.15.128.0+56dc5a86/0_REGISTRY/0.0.25.dev0/inference/swin/hf-internal-testing/tiny-random-SwinModel/2eb77d4c641de5ab6a0f.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": "2.15.128.0+56dc5a86", "disable_fallback": false, "disable_fast_relayout": false, "dynamic_batch_size": true, "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, "static_patch_size": 2}, "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"], "task": "image-classification", "use_absolute_embeddings": false, "window_size": 2}