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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>
89 lines
2.9 KiB
C++
Executable File
89 lines
2.9 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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#include "paddle2onnx/mapper/tensor/partial_ops.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(partial_sum, PartialOpsMapper)
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REGISTER_MAPPER(partial_concat, PartialOpsMapper)
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int32_t PartialOpsMapper::GetMinOpset(bool verbose) {
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auto input_info = GetInput("X");
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for (auto &in : input_info) {
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if (in.Rank() != 2) {
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Error() << "The input dim of partial_sum OP must be 2." << std::endl;
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return -1;
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}
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}
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if (start_index_ < 0) {
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start_index_ = start_index_ + input_info[0].shape[1];
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}
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int64_t batch_size = input_info[0].shape[0];
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int64_t max_length = input_info[0].shape[1];
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for (auto &in : input_info) {
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if (in.shape[0] != batch_size || in.shape[1] != max_length) {
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Error()
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<< "The batch_size and max_length of all inputs must be same in " +
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OpType() + " OP."
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<< std::endl;
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return -1;
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}
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}
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if (max_length < start_index_) {
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Error() << "start_index must be less than input len in " + OpType() + " OP."
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<< std::endl;
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return -1;
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}
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if (length_ > 0 && start_index_ + length_ > max_length) {
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Error() << "start_index + length is larger than input length in " +
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OpType() + " OP."
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<< std::endl;
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return -1;
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}
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auto iter = op_mapper_.find(OpType());
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if (op_mapper_.end() == iter) {
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Error() << "Cannot find " + OpType() + " in partial op_mapper."
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<< std::endl;
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return -1;
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}
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return 7;
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}
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void PartialOpsMapper::Opset7() {
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auto input_info = GetInput("X");
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auto output_info = GetOutput("Out");
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int64_t end;
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if (length_ < 0) {
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end = input_info[0].shape[1];
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} else {
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end = start_index_ + length_;
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}
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std::vector<std::string> slice_outputs;
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for (auto &in : input_info) {
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auto out = helper_->Slice(in.name, {1}, {start_index_}, {end});
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std::string casted_node =
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helper_->AutoCast(out, in.dtype, P2ODataType::FP32);
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slice_outputs.push_back(casted_node);
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}
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auto iter = op_mapper_.find(OpType());
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auto node = helper_->MakeNode(iter->second, slice_outputs);
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if (iter->second == "Concat") {
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AddAttribute(node, "axis", static_cast<int64_t>(1));
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}
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helper_->AutoCast(node->output(0), {output_info[0].name}, P2ODataType::FP32,
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output_info[0].dtype);
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}
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} // namespace paddle2onnx
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