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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>
47 lines
1.7 KiB
C++
47 lines
1.7 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/meshgrid.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(meshgrid, MeshgridMapper)
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void MeshgridMapper::Opset8() {
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auto x_info = GetInput("X");
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auto out_info = GetOutput("Out");
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std::vector<std::string> x_shapes(x_info.size());
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for (size_t i = 0; i < x_info.size(); ++i) {
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x_shapes[i] = helper_->MakeNode("Shape", {x_info[i].name})->output(0);
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}
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auto out_shape = helper_->Concat(x_shapes, 0);
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for (size_t i = 0; i < x_info.size(); ++i) {
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std::vector<std::string> intermediate_shape(x_info.size());
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for (size_t j = 0; j < x_info.size(); ++j) {
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if (j == i) {
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intermediate_shape[j] = x_shapes[i];
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} else {
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intermediate_shape[j] = helper_->Constant(
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ONNX_NAMESPACE::TensorProto::INT64, std::vector<int64_t>(1, 1));
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}
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}
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auto t_reshaped = helper_->Concat(intermediate_shape, 0);
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t_reshaped =
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helper_->MakeNode("Reshape", {x_info[i].name, t_reshaped})->output(0);
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helper_->MakeNode("Expand", {t_reshaped, out_shape}, {out_info[i].name});
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}
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}
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} // namespace paddle2onnx
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