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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>
49 lines
2.0 KiB
C++
49 lines
2.0 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/assign.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(assign, AssignMapper)
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REGISTER_MAPPER(share_data, AssignMapper)
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void AssignMapper::Opset7() {
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auto input_info = GetInput("X");
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auto output_info = GetOutput("Out");
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if (block_idx_ != 0 && OpType() != "share_data") {
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// Here's a trick for tensorrt
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// Consider remove this trick
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if (input_info[0].dtype == P2ODataType::BOOL) {
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auto zero = helper_->Constant(ONNX_NAMESPACE::TensorProto::INT64,
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std::vector<int64_t>(1, 0));
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auto cast_input = helper_->AutoCast(input_info[0].name, P2ODataType::BOOL,
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P2ODataType::INT64);
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auto result = helper_->MakeNode("Add", {cast_input, zero})->output(0);
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helper_->AutoCast(result, output_info[0].name, P2ODataType::INT64,
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output_info[0].dtype);
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} else {
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auto zero = helper_->Constant(GetOnnxDtype(input_info[0].dtype),
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std::vector<double>(1, 0.0));
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auto new_input =
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helper_->Unsqueeze(input_info[0].name, std::vector<int64_t>(1, 0));
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auto result = helper_->MakeNode("Add", {new_input, zero})->output(0);
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helper_->Squeeze(result, output_info[0].name, std::vector<int64_t>(1, 0));
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}
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} else {
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helper_->MakeNode("Identity", {input_info[0].name}, {output_info[0].name});
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}
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}
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} // namespace paddle2onnx
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