wehub-resource-sync
60 lines
2.2 KiB
C++
60 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 "paddle/phi/kernels/funcs/matrix_reduce.h"
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#include "paddle/phi/kernels/funcs/reduce_function.h"
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#include "paddle/phi/kernels/funcs/reduce_functor.h"
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namespace phi::funcs {
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template <typename T>
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class MatrixReduceSumFunctor<T, CPUContext> {
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public:
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void operator()(const CPUContext& dev_ctx,
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const DenseTensor& in,
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DenseTensor* out) {
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// For example: in's dim = [5, 3, 2, 7, 3] ; out's dim = [3, 1, 7, 3]
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// out_reduce_dim should be [0, 2]
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const std::vector<int64_t> in_dims = vectorize<int64_t>(in.dims());
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auto in_size = in_dims.size();
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const std::vector<int64_t> out_dims = vectorize<int64_t>(out->dims());
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auto out_size = out_dims.size();
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std::vector<int64_t> out_bst_dims(in_size);
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std::fill(out_bst_dims.data(), out_bst_dims.data() + in_size - out_size, 1);
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std::copy(out_dims.data(),
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out_dims.data() + out_size,
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out_bst_dims.data() + in_size - out_size);
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out->Resize(out_bst_dims);
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std::vector<int64_t> out_reduce_dims;
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for (size_t idx = 0; idx <= in_size - 3; idx++) {
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if (in_dims[idx] != 1 && out_bst_dims[idx] == 1) {
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out_reduce_dims.push_back(static_cast<int>(idx));
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}
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}
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ReduceKernelImpl<CPUContext, T, T, funcs::SumFunctor>(
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dev_ctx, in, out, out_reduce_dims, true, false);
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}
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};
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template class MatrixReduceSumFunctor<float, CPUContext>;
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template class MatrixReduceSumFunctor<double, CPUContext>;
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template class MatrixReduceSumFunctor<phi::complex64, CPUContext>;
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template class MatrixReduceSumFunctor<phi::complex128, CPUContext>;
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} // namespace phi::funcs
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