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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2024 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.
#pragma once
#include "paddle/phi/core/dense_tensor.h"
// only can include the headers in paddle/top/api dirs
#include "paddle/phi/kernels/funcs/broadcast_function.h"
namespace phi {
namespace funcs {
template <typename OutT, typename Functor, int NumOuts = 1>
void LaunchSameDimsElementwiseCudaKernel(
const KPDevice &dev_ctx,
const std::vector<const DenseTensor *> &ins,
std::vector<DenseTensor *> *outs,
Functor func) {
std::vector<const DenseTensor *> pt_inputs;
std::vector<DenseTensor *> pt_outputs;
// TODO(YuanRisheng) *_tmp for cache DenseTensor, because the temporary
// DenseTensor obj
// generated by MakePhiDenseTensor can be destroyed when exits loop. *_tmp
// can be deleted
// when DenseTensor support copy constructor.
std::vector<std::unique_ptr<DenseTensor>> pt_inputs_tmp;
std::vector<std::unique_ptr<DenseTensor>> pt_outputs_tmp;
for (auto in : ins) {
pt_inputs_tmp.emplace_back(std::move(std::make_unique<DenseTensor>(*in)));
}
for (auto out : *outs) {
pt_outputs_tmp.emplace_back(std::move(std::make_unique<DenseTensor>(*out)));
}
for (int i = 0; i < pt_inputs_tmp.size(); i++) {
pt_inputs.push_back(pt_inputs_tmp[i].get());
}
for (int i = 0; i < pt_outputs_tmp.size(); i++) {
pt_outputs.push_back(pt_outputs_tmp[i].get());
}
funcs::ElementwiseKernel<OutT, Functor, NumOuts>(
dev_ctx, pt_inputs, &pt_outputs, func);
}
} // namespace funcs
} // namespace phi