// 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 "paddle/phi/kernels/funcs/matrix_reduce.h" #include "paddle/phi/kernels/funcs/reduce_function.h" namespace phi { namespace funcs { template class MatrixReduceSumFunctor { public: void operator()(const GPUContext& dev_ctx, const DenseTensor& in, DenseTensor* out) { // For example: in's dim = [5, 3, 2, 7, 3] ; out's dim = [3, 1, 7, 3] // out_reduce_dim should be [0, 2] const std::vector in_dims = phi::vectorize(in.dims()); auto in_size = in_dims.size(); const std::vector out_dims = phi::vectorize(out->dims()); auto out_size = out_dims.size(); std::vector out_bst_dims(in_size); std::fill(out_bst_dims.data(), out_bst_dims.data() + in_size - out_size, 1); std::copy(out_dims.data(), out_dims.data() + out_size, out_bst_dims.data() + in_size - out_size); out->Resize(phi::make_ddim(out_bst_dims)); std::vector out_reduce_dims; for (size_t idx = 0; idx <= in_size - 3; idx++) { if (in_dims[idx] != 1 && out_bst_dims[idx] == 1) { out_reduce_dims.push_back(idx); } } TensorReduceImpl>( dev_ctx, in, out, kps::IdentityFunctor(), out_reduce_dims, dev_ctx.stream()); } }; template class MatrixReduceSumFunctor; template class MatrixReduceSumFunctor; } // namespace funcs } // namespace phi