MTtranslateService/Lib/site-packages/onnxruntime/tools/qdq_helpers/optimize_qdq_model.py

#!/usr/bin/env python3
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.

import argparse
import os
import pathlib

import onnx

from .qdq_model_utils import fix_dq_nodes_with_multiple_consumers


def optimize_qdq_model():
    parser = argparse.ArgumentParser(
        os.path.basename(__file__),
        description="""
                                     Update a QDQ format ONNX model to ensure optimal performance when executed using
                                     ONNX Runtime.
                                     """,
    )

    parser.add_argument("input_model", type=pathlib.Path, help="Provide path to ONNX model to update.")
    parser.add_argument("output_model", type=pathlib.Path, help="Provide path to write updated ONNX model to.")

    args = parser.parse_args()

    model = onnx.load(str(args.input_model.resolve(strict=True)))

    # there's just one utility to run currently but we expect that will grow
    fix_dq_nodes_with_multiple_consumers(model)

    onnx.save(model, str(args.output_model.resolve()))


if __name__ == "__main__":
    optimize_qdq_model()