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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>
84 lines
3.3 KiB
Python
Executable File
84 lines
3.3 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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def export_onnx(paddle_graph,
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save_file,
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opset_version=9,
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enable_onnx_checker=False,
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operator_export_type="ONNX",
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verbose=False,
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auto_update_opset=True,
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output_names=None):
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from paddle2onnx.legacy.convert import export_onnx
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return export_onnx(paddle_graph, save_file, opset_version, opset_version,
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enable_onnx_checker, operator_export_type, verbose,
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auto_update_opset, output_names)
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def dygraph2onnx(layer, save_file, input_spec=None, opset_version=9, **configs):
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if "enable_dev_version" in configs and not configs["enable_dev_version"]:
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from paddle2onnx.legacy.convert import dygraph2onnx
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return dygraph2onnx(layer, save_file, input_spec, opset_version,
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**configs)
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import os
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import paddle2onnx
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import paddle
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dirname = os.path.split(save_file)[0]
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paddle_model_dir = os.path.join(dirname,
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"paddle_model_static_onnx_temp_dir")
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model_file = os.path.join(paddle_model_dir, "model.pdmodel")
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params_file = os.path.join(paddle_model_dir, "model.pdiparams")
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if os.path.exists(paddle_model_dir):
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if os.path.isfile(paddle_model_dir):
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logging.info("File {} exists, will remove it.".format(
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paddle_model_dir))
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os.remove(paddle_model_dir)
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if os.path.isfile(model_file):
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os.remove(model_file)
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if os.path.isfile(params_file):
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os.remove(params_file)
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paddle.jit.save(layer, os.path.join(paddle_model_dir, "model"), input_spec)
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logging.info("Static PaddlePaddle model saved in {}.".format(
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paddle_model_dir))
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if not os.path.isfile(params_file):
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params_file = ""
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if save_file is None:
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return paddle2onnx.export(model_file, params_file, save_file,
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opset_version)
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else:
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paddle2onnx.export(model_file, params_file, save_file, opset_version)
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logging.info("ONNX model saved in {}.".format(save_file))
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def program2onnx(program,
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scope,
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save_file,
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feed_var_names=None,
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target_vars=None,
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opset_version=9,
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enable_onnx_checker=False,
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operator_export_type="ONNX",
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auto_update_opset=True,
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**configs):
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from paddle2onnx.legacy.convert import program2onnx
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return program2onnx(program, scope, save_file, feed_var_names, target_vars,
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opset_version, enable_onnx_checker,
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operator_export_type, auto_update_opset, **configs)
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