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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>
62 lines
2.5 KiB
C++
62 lines
2.5 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/expand_v2.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(expand_v2, ExpandV2Mapper)
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void ExpandV2Mapper::Opset8() {
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auto x_info = GetInput("X");
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auto out_info = GetOutput("Out");
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int dim_diff = 0;
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std::string shape = "";
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if (HasInput("Shape")) {
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auto shape_info = GetInput("Shape");
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dim_diff = shape_info[0].shape[0] - x_info[0].Rank();
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shape = helper_->AutoCast(shape_info[0].name, shape_info[0].dtype,
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P2ODataType::INT64);
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} else if (HasInput("expand_shapes_tensor")) {
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auto shape_info = GetInput("expand_shapes_tensor");
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dim_diff = shape_info.size() - x_info[0].Rank();
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shape = helper_->ConcatIndices(shape_info);
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} else {
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std::vector<int64_t> shape_value;
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GetAttr("shape", &shape_value);
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dim_diff = shape_value.size() - x_info[0].Rank();
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shape = helper_->Constant(ONNX_NAMESPACE::TensorProto::INT64, shape_value);
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}
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auto input_shape = helper_->MakeNode("Shape", {x_info[0].name})->output(0);
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if (dim_diff > 0) {
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auto padding_shape = helper_->Constant(ONNX_NAMESPACE::TensorProto::INT64,
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std::vector<int64_t>(dim_diff, 1));
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input_shape = helper_->Concat({padding_shape, input_shape}, 0);
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}
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if (helper_->GetOpsetVersion() < 12) {
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// While opset < 12, Max cannot support int64 datatype with onnxruntime
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input_shape =
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helper_->AutoCast(input_shape, P2ODataType::INT64, P2ODataType::FP32);
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shape = helper_->AutoCast(shape, P2ODataType::INT64, P2ODataType::FP32);
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shape = helper_->MakeNode("Max", {input_shape, shape})->output(0);
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shape = helper_->AutoCast(shape, P2ODataType::FP32, P2ODataType::INT64);
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} else {
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shape = helper_->MakeNode("Max", {input_shape, shape})->output(0);
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}
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helper_->MakeNode("Expand", {x_info[0].name, shape}, {out_info[0].name});
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}
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} // namespace paddle2onnx
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