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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>
59 lines
1.8 KiB
C++
Executable File
59 lines
1.8 KiB
C++
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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#pragma once
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#include <string>
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#include <vector>
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#include "paddle2onnx/mapper/mapper.h"
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namespace paddle2onnx {
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class Conv2dTransposeMapper : public Mapper {
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public:
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Conv2dTransposeMapper(const PaddleParser& p, OnnxHelper* helper,
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int64_t block_id, int64_t op_id)
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: Mapper(p, helper, block_id, op_id) {
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GetAttr("groups", &groups_);
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GetAttr("dilations", &dilations_);
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GetAttr("strides", &strides_);
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GetAttr("paddings", &paddings_);
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GetAttr("padding_algorithm", &padding_algorithm_);
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GetAttr("output_padding", &output_padding_);
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GetAttr("data_format", &data_format_);
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if (paddings_.size() == 2) {
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paddings_.push_back(paddings_[0]);
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paddings_.push_back(paddings_[1]);
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} else if (paddings_.size() == 4) {
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int32_t tmp = paddings_[1];
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paddings_[1] = paddings_[2];
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paddings_[2] = tmp;
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}
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}
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int32_t GetMinOpset(bool verbose = false);
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void Opset7();
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private:
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std::vector<int64_t> dilations_;
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std::vector<int64_t> strides_;
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std::vector<int64_t> paddings_;
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std::vector<int64_t> output_padding_;
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std::string padding_algorithm_;
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std::string data_format_;
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int64_t groups_;
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};
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} // namespace paddle2onnx
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