Files
FastDeploy/paddle2onnx/mapper/tensor/tile.cc
Jason f413e0263b [Bug] Fix build error (#2112)
Fix build paddle2onnx error
2023-07-17 10:49:50 +08:00

61 lines
2.3 KiB
C++

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