m2m模型翻译
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#!/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()