// 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/abs_kernel.h" #include #include #include "paddle/phi/backends/gpu/gpu_context.h" #include "paddle/phi/core/dense_tensor.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/funcs/complex_functors.h" #include "paddle/phi/kernels/funcs/elementwise_base.h" namespace phi { template struct CudaAbsFunctor; template struct CudaAbsFunctor>> { __device__ __forceinline__ phi::dtype::Real operator()(const T x) const { return abs(x); } }; template struct CudaAbsFunctor>> { __device__ __forceinline__ T operator()(const T x) const { return std::abs(x); } }; template void AbsKernel(const Context& ctx, const DenseTensor& x, DenseTensor* out) { ctx.template Alloc>(out); std::vector ins = {&x}; std::vector outs = {out}; auto functor = CudaAbsFunctor(); funcs::ElementwiseKernel>(ctx, ins, &outs, functor); } } // namespace phi PD_REGISTER_KERNEL(abs, GPU, ALL_LAYOUT, phi::AbsKernel, float, double, int, int64_t, phi::dtype::float16, phi::dtype::complex, phi::dtype::complex) {}