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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>
90 lines
3.2 KiB
C++
90 lines
3.2 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/flip.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(flip, FlipMapper)
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int32_t FlipMapper::GetMinOpset(bool verbose) {
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auto input_info = parser_->GetOpInput(block_idx_, op_idx_, "X");
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for (auto i = 0; i < axes_.size(); i++) {
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if (input_info[0].shape[axes_[i]] <= 0) {
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Error() << "The dimension in axis of input must be fixed for flip "
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"operator, but now the input shape in axis is unkown."
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<< std::endl;
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return -1;
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}
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}
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return 7;
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}
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void FlipMapper::Opset7() {
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auto input_info = GetInput("X");
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auto output_info = GetOutput("Out");
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std::string input_name = input_info[0].name;
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bool need_convert = false;
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if (input_info[0].dtype == P2ODataType::BOOL ||
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input_info[0].dtype == P2ODataType::FP64) {
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need_convert = true;
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input_name = helper_->AutoCast(input_info[0].name, input_info[0].dtype,
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P2ODataType::FP32);
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}
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std::string temp_input = input_name;
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for (auto i = 0; i < axes_.size(); ++i) {
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int64_t axis = axes_[i];
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if (input_info[0].shape[axis] == 1) {
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if (i != axes_.size() - 1) {
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continue;
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}
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if (need_convert) {
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input_name = helper_->AutoCast(temp_input, output_info[0].name,
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P2ODataType::FP32, output_info[0].dtype);
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} else {
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auto out_node =
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helper_->MakeNode("Identity", {temp_input}, {output_info[0].name});
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}
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} else {
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std::vector<int64_t> split;
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split.resize(input_info[0].shape[axis], 1);
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std::vector<std::string> splits_outputs =
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helper_->Split(temp_input, split, axis);
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std::vector<std::string> reversed_splits;
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for (int64_t index = splits_outputs.size() - 1; index >= 0; --index) {
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reversed_splits.push_back(splits_outputs[index]);
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}
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if (i != axes_.size() - 1) {
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auto concat_node = helper_->MakeNode("Concat", reversed_splits);
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AddAttribute(concat_node, "axis", axis);
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temp_input = concat_node->output(0);
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} else {
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if (need_convert) {
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auto concat_node = helper_->MakeNode("Concat", reversed_splits);
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AddAttribute(concat_node, "axis", axis);
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helper_->AutoCast(concat_node->output(0), output_info[0].name,
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P2ODataType::FP32, output_info[0].dtype);
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} else {
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auto concat_node = helper_->MakeNode("Concat", reversed_splits,
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{output_info[0].name});
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AddAttribute(concat_node, "axis", axis);
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}
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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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