olive-recipes/google-vit-base-patch16-224/QNN/vit_qnn_fp32_ctx.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": {
        "qnn_system": {
            "type": "LocalSystem",
            "accelerators": [ { "device": "npu", "execution_providers": [ "QNNExecutionProvider" ] } ]
        }
    },
    "data_configs": [
        {
            "name": "quantize_data_config",
            "type": "HuggingfaceContainer",
            "user_script": "imagenet.py",
            "load_dataset_config": {
                "data_name": "imagenet-1k",
                "split": "validation",
                "streaming": true,
                "trust_remote_code": true
            },
            "pre_process_data_config": { "type": "dataset_pre_process", "size": 256, "cache_key": "imagenet256" },
            "post_process_data_config": { "type": "dataset_post_process" }
        }
    ],
    "evaluators": {
        "common_evaluator": {
            "metrics": [
                {
                    "name": "accuracy_qnn",
                    "type": "accuracy",
                    "data_config": "quantize_data_config",
                    "sub_types": [
                        {
                            "name": "accuracy_score",
                            "priority": 1,
                            "metric_config": { "task": "multiclass", "num_classes": 1000 }
                        }
                    ],
                    "user_config": {
                        "inference_settings": {
                            "onnx": {
                                "session_options": {
                                    "extra_session_config": { "session.disable_cpu_ep_fallback": "0" }
                                },
                                "execution_provider": "QNNExecutionProvider",
                                "provider_options": [
                                    {
                                        "backend_path": "QnnHtp.dll",
                                        "htp_performance_mode": "burst",
                                        "htp_graph_finalization_optimization_mode": "3",
                                        "enable_htp_fp16_precision": "1"
                                    }
                                ]
                            }
                        }
                    }
                },
                {
                    "name": "latency_qnn",
                    "type": "latency",
                    "data_config": "quantize_data_config",
                    "sub_types": [ { "name": "avg", "priority": 2 } ],
                    "user_config": {
                        "inference_settings": {
                            "onnx": {
                                "session_options": {
                                    "extra_session_config": { "session.disable_cpu_ep_fallback": "0" }
                                },
                                "execution_provider": "QNNExecutionProvider",
                                "provider_options": [
                                    {
                                        "backend_path": "QnnHtp.dll",
                                        "htp_performance_mode": "burst",
                                        "htp_graph_finalization_optimization_mode": "3",
                                        "enable_htp_fp16_precision": "1"
                                    }
                                ]
                            }
                        }
                    }
                }
            ]
        }
    },
    "passes": {
        "conversion": { "type": "OnnxConversion", "target_opset": 20 },
        "surgery": { "type": "GraphSurgeries", "surgeries": [ { "surgeon": "MatMulAddToGemm" } ] },
        "cb": {
            "type": "EPContextBinaryGenerator",
            "provider_options": {
                "htp_graph_finalization_optimization_mode": "3",
                "soc_model": "60",
                "htp_arch": "73",
                "vtcm_mb": "8",
                "enable_htp_fp16_precision": "1"
            }
        },
        "add_metadata": { "type": "AddOliveMetadata", "graph_name": "vit-base-patch16-224" }
    },
    "host": "qnn_system",
    "target": "qnn_system",
    "evaluator": "common_evaluator",
    "output_dir": "models/vit-base-patch16-224/fp32_ctx",
    "clean_cache": false,
    "cache_dir": "cache/vit-base-patch16-224",
    "evaluate_input_model": false
}