Files
FastDeploy/paddle2onnx/mapper/tensor/unstack.cc
Jason 6343b0db47 [Build] Support build with source code of Paddle2ONNX (#1559)
* 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

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Co-authored-by: PaddleCI <paddle_ci@example.com>
Co-authored-by: pangyoki <pangyoki@126.com>
Co-authored-by: jiangjiajun <jiangjiajun@baidu.lcom>
2023-03-17 10:03:22 +08:00

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1.1 KiB
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle2onnx/mapper/tensor/unstack.h"
namespace paddle2onnx {
REGISTER_MAPPER(unstack, UnstackMapper)
void UnstackMapper::Opset7() {
auto x_info = GetInput("X");
auto y_info = GetOutput("Y");
if (axis_ < 0) {
axis_ = axis_ + x_info[0].Rank();
}
auto split_nodes = helper_->Split(
x_info[0].name, std::vector<int64_t>(y_info.size(), 1), axis_);
for (size_t i = 0; i < split_nodes.size(); ++i) {
helper_->Squeeze(split_nodes[i], y_info[i].name, {axis_});
}
}
} // namespace paddle2onnx