mirror of
https://github.com/saymrwulf/onnxruntime.git
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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
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#!/usr/bin/env python3
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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import argparse
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import onnx
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import os
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import pathlib
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from .qdq_model_utils import fix_dq_nodes_with_multiple_consumers
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def optimize_qdq_model():
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parser = argparse.ArgumentParser(os.path.basename(__file__),
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description='''
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Update a QDQ format ONNX model to ensure optimal performance when executed using
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ONNX Runtime.
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''')
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parser.add_argument('input_model', type=pathlib.Path, help='Provide path to ONNX model to update.')
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parser.add_argument('output_model', type=pathlib.Path, help='Provide path to write updated ONNX model to.')
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args = parser.parse_args()
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model = onnx.load(str(args.input_model.resolve(strict=True)))
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# there's just one utility to run currently but we expect that will grow
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fix_dq_nodes_with_multiple_consumers(model)
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onnx.save(model, str(args.output_model.resolve()))
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if __name__ == '__main__':
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optimize_qdq_model()
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