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Add convert fp32 ONNX model to fp16 ONNX func (#1021)
* conver fp32 model to fp16 * add fp32tofp16 func * add export_fp16_model option * update code * Custom op * add node type func * save code * update code for custom op * fix test * update code * fix ci * save code * save code * update code and fix bugs when params file is big * fix bug * update code * fix acc error bug * enable fp16 in tests * rotal delta * delta * update test * update version to 1.0.6 * add keep_type_tensors * update code * add mv in mappers_registry
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1.0.5 | ||
1.0.6 |
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
from __future__ import absolute_import | ||
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import argparse | ||
import sys | ||
from paddle2onnx.utils import logging | ||
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def parse_arguments(): | ||
parser = argparse.ArgumentParser() | ||
parser.add_argument( | ||
'--input_model_path', | ||
required=True, | ||
help='The path of input onnx model file.') | ||
parser.add_argument( | ||
'--output_model_path', | ||
required=True, | ||
help='The file path to write optimized onnx model file.') | ||
return parser.parse_args() | ||
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if __name__ == '__main__': | ||
args = parse_arguments() | ||
import paddle2onnx.paddle2onnx_cpp2py_export as c_p2o | ||
c_p2o.convert_to_fp16(args.input_model_path, args.output_model_path) | ||
logging.info("FP16 model saved in {}.".format(args.output_model_path)) |
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