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* 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>
39 lines
1.4 KiB
C++
39 lines
1.4 KiB
C++
// 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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#include "paddle2onnx/mapper/tensor/add_n.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(sum, AddNMapper)
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void AddNMapper::Opset7() {
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auto x_info = GetInput("X");
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auto out_info = GetOutput("Out");
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if (x_info.size() == 1) {
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helper_->AutoCast(x_info[0].name, out_info[0].name, x_info[0].dtype,
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out_info[0].dtype);
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} else {
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std::vector<std::string> inputs;
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for (auto i = 0; i < x_info.size(); ++i) {
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inputs.push_back(helper_->AutoCast(x_info[i].name, x_info[0].dtype,
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P2ODataType::FP32));
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}
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auto output = helper_->MakeNode("Sum", inputs)->output(0);
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helper_->AutoCast(output, out_info[0].name, P2ODataType::FP32,
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out_info[0].dtype);
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}
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}
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} // namespace paddle2onnx
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