// 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/core/kernel_registry.h" #include "paddle/phi/kernels/gpu/reduce.h" #include "paddle/phi/kernels/reduce_prod_kernel.h" namespace phi { template void ProdRawKernel(const Context& dev_ctx, const DenseTensor& x, const std::vector& dims, bool keep_dim, bool reduce_all, DenseTensor* out) { auto out_dtype = x.dtype(); phi::Reduce( dev_ctx, x, reduce_all, dims, keep_dim, out_dtype, out); } } // namespace phi #ifdef PADDLE_WITH_XPU_KP PD_REGISTER_KERNEL(prod_raw, KPS, ALL_LAYOUT, phi::ProdRawKernel, float) {} #else PD_REGISTER_KERNEL(prod_raw, KPS, ALL_LAYOUT, phi::ProdRawKernel, float, double, int, int64_t) {} #endif