olive-recipes/sam-vit-base/QNN/sam_mask_point_decoder_qnn_fp16.json at main · CodeLinaro/olive-recipes · GitHub

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{
    "input_model": {
        "type": "PyTorchModel",
        "model_path": "facebook/sam-vit-base",
        "model_loader": "sam_mask_point_decoder_load",
        "model_script": "user_script.py",
        "io_config": {
            "input_names": [
                "input_points",
                "image_embeddings"
            ],
            "output_names": [
                "iou_scores",
                "pred_masks"
            ]
        },
        "dummy_inputs_func": "mask_point_decoder_inputs"
    },
    "systems": {
        "local_system": {
            "type": "LocalSystem"
        },
        "target_system": {
            "type": "LocalSystem",
            "accelerators": [
                {
                    "execution_providers": [
                        "QNNExecutionProvider"
                    ]
                }
            ]
        }
    },
    "data_configs": [
        {
            "name": "latency_data_config",
            "user_script": "user_script.py",
            "load_dataset_config": {
                "type": "local_dataset"
            },
            "dataloader_config": {
                "type": "mask_point_decoder_data_loader",
                "batch_size": 1
            }
        }
    ],
    "evaluators": {
        "common_evaluator": {
            "metrics": [
                {
                    "name": "latency",
                    "type": "latency",
                    "data_config": "latency_data_config",
                    "sub_types": [
                        {
                            "name": "avg",
                            "priority": 1
                        }
                    ]
                }
            ]
        }
    },
    "passes": {
        "convert": {
            "type": "OnnxConversion",
            "config": {
                "target_opset": 20,
                "optimize": true,
                "dynamic": false
            }
        },
        "f16": {
            "type": "OnnxFloatToFloat16",
            "save_as_external_data": true
        }
    },
    "log_severity_level": 0,
    "evaluate_input_model": false,
    "host": "local_system",
    "target": "target_system",
    "cache_dir": "cache_olive_mask_point_decoder_fp16",
    "output_dir": "model/sam_olive_mask_point_decoder_fp16"
}