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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>
56 lines
2.2 KiB
C++
56 lines
2.2 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/tile.h"
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namespace paddle2onnx {
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REGISTER_MAPPER(tile, TileMapper)
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void TileMapper::Opset7() {
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auto x_info = GetInput("X");
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auto out_info = GetOutput("Out");
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bool has_repeats_tensor = HasInput("RepeatTimes");
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bool has_repeats_tensor_list = HasInput("repeat_times_tensor");
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std::string repeats = "";
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// NOTE(Aurelius84): we need to deprecate this branch in the future.
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if (has_repeats_tensor) {
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auto repeats_info = GetInput("RepeatTimes");
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repeats = helper_->AutoCast(repeats_info[0].name, repeats_info[0].dtype,
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P2ODataType::INT64);
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} else if (has_repeats_tensor_list) {
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auto repeats_info = GetInput("repeat_times_tensor");
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repeats = helper_->ConcatIndices(repeats_info);
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} else if (IsAttrVar("repeat_times")) {
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auto repeats_info = GetAttrVar("repeat_times");
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if (repeats_info.size() == 1U) { // repeat_times is a whole Tensor
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repeats = helper_->AutoCast(repeats_info[0].name, repeats_info[0].dtype,
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P2ODataType::INT64);
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} else { // repeat_times is a tensor list
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repeats = helper_->ConcatIndices(repeats_info);
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}
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} else {
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std::vector<int64_t> values;
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GetAttr("repeat_times", &values);
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int64_t nums = values.size();
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for (int64_t i = 0; i < x_info[0].Rank() - nums; i++) {
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values.insert(values.begin(), 1);
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}
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repeats = helper_->Constant(ONNX_NAMESPACE::TensorProto::INT64, values);
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}
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helper_->MakeNode("Tile", {x_info[0].name, repeats}, {out_info[0].name});
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}
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} // namespace paddle2onnx
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