wehub-resource-sync
81 lines
2.6 KiB
C++
81 lines
2.6 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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#pragma once
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#include <algorithm>
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#include <vector>
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#include "paddle/common/hostdevice.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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namespace phi {
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template <typename T>
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struct GraphSendRecvSumFunctor {
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void operator()(const bool& first_flag UNUSED,
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const DenseTensor& src_slice,
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DenseTensor* dst_slice) {
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auto eigen_src = EigenVector<T>::Flatten(src_slice);
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auto eigen_dst = EigenVector<T>::Flatten(*dst_slice);
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eigen_dst += eigen_src;
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}
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};
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template <typename T>
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struct GraphSendRecvMinFunctor {
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void operator()(const bool& first_flag,
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const DenseTensor& src_slice,
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DenseTensor* dst_slice) {
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auto eigen_src = EigenVector<T>::Flatten(src_slice);
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auto eigen_dst = EigenVector<T>::Flatten(*dst_slice);
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if (first_flag) {
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eigen_dst += eigen_src;
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} else {
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eigen_dst = eigen_dst.cwiseMin(eigen_src);
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}
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}
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};
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template <typename T>
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struct GraphSendRecvMaxFunctor {
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void operator()(const int& first_flag,
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const DenseTensor& src_slice,
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DenseTensor* dst_slice) {
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auto eigen_src = EigenVector<T>::Flatten(src_slice);
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auto eigen_dst = EigenVector<T>::Flatten(*dst_slice);
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if (first_flag) {
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eigen_dst += eigen_src;
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} else {
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eigen_dst = eigen_dst.cwiseMax(eigen_src);
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}
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}
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};
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template <typename T, typename IndexT, typename Functor>
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void ElementwiseInnerOperation(const DenseTensor& src,
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DenseTensor* dst,
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const IndexT& src_index,
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const IndexT& dst_index,
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const bool& first_flag,
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Functor functor) {
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auto src_slice = src.Slice(src_index, src_index + 1);
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auto dst_slice = dst->Slice(dst_index, dst_index + 1);
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functor(first_flag, src_slice, &dst_slice);
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}
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} // namespace phi
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