olive-recipes/google-vit-base-patch16-224/aitk/vit-base-patch16-224_qnn_gpu.json at main · microsoft/olive-recipes · GitHub

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{
    "input_model": {
        "type": "HfModel",
        "model_path": "google/vit-base-patch16-224",
        "task": "image-classification",
        "io_config": {
            "input_names": [
                "pixel_values"
            ],
            "input_shapes": [
                [
                    1,
                    3,
                    224,
                    224
                ]
            ],
            "output_names": [
                "logits"
            ]
        }
    },
    "systems": {
        "target_system": {
            "type": "LocalSystem",
            "accelerators": [
                {
                    "device": "gpu",
                    "execution_providers": [
                        "QNNExecutionProvider"
                    ]
                }
            ]
        }
    },
    "data_configs": [
        {
            "name": "evaluation_data_config",
            "type": "HuggingfaceContainer",
            "user_script": "vit-base-patch16-224.py",
            "load_dataset_config": {
                "data_name": "timm/mini-imagenet",
                "split": "validation",
                "streaming": true,
                "trust_remote_code": true
            },
            "pre_process_data_config": {
                "type": "dataset_pre_process",
                "size": 1000,
                "cache_key": "imagedata_evaluation"
            },
            "post_process_data_config": {
                "type": "dataset_post_process"
            }
        }
    ],
    "evaluators": {
        "common_evaluator": {
            "metrics": [
                {
                    "name": "accuracy",
                    "type": "accuracy",
                    "data_config": "evaluation_data_config",
                    "sub_types": [
                        {
                            "name": "accuracy_score",
                            "priority": 1,
                            "metric_config": {
                                "task": "multiclass",
                                "num_classes": 1000
                            }
                        }
                    ]
                },
                {
                    "name": "latency",
                    "type": "latency",
                    "data_config": "evaluation_data_config",
                    "sub_types": [
                        {
                            "name": "avg",
                            "priority": 2
                        }
                    ]
                }
            ]
        }
    },
    "passes": {
        "conversion": {
            "type": "OnnxConversion",
            "target_opset": 20,
            "save_as_external_data": true
        },
        "surgery": {
            "type": "GraphSurgeries",
            "surgeries": [
                {
                    "surgeon": "MatMulAddToGemm"
                }
            ]
        }
    },
    "target": "target_system",
    "evaluator": "common_evaluator",
    "output_dir": "model/vit",
    "evaluate_input_model": false,
    "cache_dir": "cache"
}