// 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/reduce_max_kernel.h" #include "paddle/phi/backends/all_context.h" #include "paddle/phi/core/kernel_registry.h" namespace phi { template void MaxKernel(const Context& dev_ctx, const DenseTensor& x, const IntArray& dims, bool keep_dim, DenseTensor* out) { bool reduce_all = recompute_reduce_all(x, dims); MaxRawKernel(dev_ctx, x, dims, keep_dim, reduce_all, out); } } // namespace phi PD_REGISTER_KERNEL( max, CPU, ALL_LAYOUT, phi::MaxKernel, float, double, int, int64_t) {} #if defined(PADDLE_WITH_CUDA) PD_REGISTER_KERNEL(max, GPU, ALL_LAYOUT, phi::MaxKernel, float, double, int, int64_t, phi::dtype::float16, phi::dtype::bfloat16) {} #endif #if defined(PADDLE_WITH_HIP) PD_REGISTER_KERNEL( max, GPU, ALL_LAYOUT, phi::MaxKernel, float, double, int, int64_t) {} #endif #if defined(PADDLE_WITH_XPU_KP) && !defined(PADDLE_WITH_XPU) PD_REGISTER_KERNEL(max, KPS, ALL_LAYOUT, phi::MaxKernel, float) {} #endif #if defined(PADDLE_WITH_MKLDNN) PD_REGISTER_KERNEL( max, OneDNN, ONEDNN, phi::MaxKernel, float, phi::dtype::bfloat16) {} #endif #if defined(PADDLE_WITH_XPU) PD_REGISTER_KERNEL(max, XPU, ALL_LAYOUT, phi::MaxKernel, float) {} #endif