mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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6343b0db47
* Add notes for tensors * Optimize some apis * move some warnings * Support build with Paddle2ONNX * Add protobuf support * Fix compile on mac * add clearn package script * Add paddle2onnx code * remove submodule * Add onnx ocde * remove softlink * add onnx code * fix error * Add cmake file * fix patchelf * update paddle2onnx * Delete .gitmodules --------- Co-authored-by: PaddleCI <paddle_ci@example.com> Co-authored-by: pangyoki <pangyoki@126.com> Co-authored-by: jiangjiajun <jiangjiajun@baidu.lcom>
66 lines
2.5 KiB
Python
Executable File
66 lines
2.5 KiB
Python
Executable File
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from paddle2onnx.utils import logging
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from . import command
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from .convert import dygraph2onnx
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from .convert import program2onnx
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from .version import version
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from .version import git_version
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__version__ = version
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__commit_id__ = git_version
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def run_convert(model, input_shape_dict=None, scope=None, opset_version=9):
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logging.warning(
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"[Deprecated] `paddle2onnx.run_convert` will be deprecated in the future version, the recommended usage is `paddle2onnx.export`"
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)
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from paddle2onnx.legacy import run_convert
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return run_convert(model, input_shape_dict, scope, opset_version)
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def export(model_file,
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params_file="",
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save_file=None,
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opset_version=11,
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auto_upgrade_opset=True,
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verbose=True,
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enable_onnx_checker=True,
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enable_experimental_op=True,
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enable_optimize=True,
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custom_op_info=None,
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deploy_backend="onnxruntime",
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calibration_file="",
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external_file="",
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export_fp16_model=False):
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import paddle2onnx.paddle2onnx_cpp2py_export as c_p2o
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deploy_backend = deploy_backend.lower()
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if custom_op_info is None:
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onnx_model_str = c_p2o.export(
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model_file, params_file, opset_version, auto_upgrade_opset, verbose,
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enable_onnx_checker, enable_experimental_op, enable_optimize, {},
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deploy_backend, calibration_file, external_file, export_fp16_model)
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else:
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onnx_model_str = c_p2o.export(
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model_file, params_file, opset_version, auto_upgrade_opset, verbose,
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enable_onnx_checker, enable_experimental_op, enable_optimize,
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custom_op_info, deploy_backend, calibration_file, external_file,
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export_fp16_model)
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if save_file is not None:
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with open(save_file, "wb") as f:
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f.write(onnx_model_str)
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else:
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return onnx_model_str
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