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>
85 lines
2.7 KiB
C++
85 lines
2.7 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/squeeze2.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(squeeze2, Squeeze2Mapper)
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int32_t Squeeze2Mapper::GetMinOpset(bool verbose) {
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if (IsAttrVar("axes")) {
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auto infos = GetAttrVar("axes");
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for (auto &info : infos) {
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if (!IsConstant(info)) {
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return 13;
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}
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}
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}
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return 7;
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}
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void Squeeze2Mapper::Opset7() {
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auto input_info = GetInput("X");
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auto output_info = GetOutput("Out");
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std::vector<int64_t> ret;
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ret.reserve(input_info[0].shape.size());
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for (auto i : input_info[0].shape) {
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if (i > 1) ret.push_back(i);
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}
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if (ret.size() == input_info[0].Rank()) {
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helper_->MakeNode("Identity", {input_info[0].name}, {output_info[0].name});
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} else {
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if (helper_->GetOpsetVersion() >= 13 && IsAttrVar("axes")) {
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auto axes_info = GetAttrVar("axes");
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std::string axes_name;
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if (axes_info.size() == 1U) {
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axes_name = helper_->AutoCast(axes_info[0].name, axes_info[0].dtype,
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P2ODataType::INT64);
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} else {
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axes_name = helper_->ConcatIndices(axes_info);
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}
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helper_->MakeNode("Squeeze", {input_info[0].name, axes_name},
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{output_info[0].name});
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} else {
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if (IsAttrVar("axes")) {
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auto axes_info = GetAttrVar("axes");
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for (int64_t index = 0; index < axes_info.size(); index++) {
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std::vector<int64_t> temp;
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TryGetValue(axes_info[index], &temp);
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for (auto &data : temp) {
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axes_.push_back(data);
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}
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}
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} else {
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GetAttr("axes", &axes_);
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}
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std::vector<int64_t> axes(axes_.begin(), axes_.end());
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for (size_t i = 0; i < axes.size(); ++i) {
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if (axes[i] < 0) {
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axes[i] += input_info[0].Rank();
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}
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}
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if (axes.size() > 0) {
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std::sort(axes.begin(), axes.end());
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helper_->Squeeze(input_info[0].name, output_info[0].name, axes);
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} else {
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helper_->Squeeze(input_info[0].name, output_info[0].name, {});
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}
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}
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}
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}
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} // namespace paddle2onnx
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