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