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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>
40 lines
1.3 KiB
C++
40 lines
1.3 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/stack.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(stack, StackMapper)
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void StackMapper::Opset7() {
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auto x_info = GetInput("X");
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auto y_info = GetOutput("Y");
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int32_t out_dtype = 0;
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std::vector<std::string> aligned_inputs =
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helper_->DtypeAlignment(x_info, &out_dtype);
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auto axis = axis_;
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if (axis < 0) {
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axis = axis + x_info[0].Rank() + 1;
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}
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for (size_t i = 0; i < aligned_inputs.size(); ++i) {
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aligned_inputs[i] =
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helper_->Unsqueeze(aligned_inputs[i], std::vector<int64_t>(1, axis));
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}
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auto out = helper_->Concat(aligned_inputs, axis_);
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helper_->AutoCast(out, y_info[0].name, out_dtype, y_info[0].dtype);
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}
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} // namespace paddle2onnx
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