/* Copyright (c) 2018 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/fluid/operators/elementwise/elementwise_op_broadcast.cu.h" #include "paddle/fluid/operators/elementwise/elementwise_pow_op.h" namespace ops = paddle::operators; namespace paddle { namespace operators { template struct CudaPowFunctor { inline HOSTDEVICE T operator()(const T args[]) const { return std::pow(args[0], args[1]); } }; template struct CudaPowFunctor< T, typename std::enable_if::value>::type> { // On CUDAPlace, std::pow(3, 1) calls pow(float, float), and // it will return a float number like 2.99... , which floor to 2 // when cast to int by default and it is wrong. // Use llrint to cast it to the nearest integer, which is 3. inline HOSTDEVICE T operator()(const T args[]) const { return std::llrint(std::pow(args[0], args[1])); } }; template class ElementwisePowKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { std::vector ins; std::vector outs; const auto& cuda_ctx = ctx.template device_context(); int axis = PackTensorsIntoVector(ctx, &ins, &outs); LaunchElementwiseCudaKernel( cuda_ctx, ins, &outs, axis, CudaPowFunctor()); } }; } // namespace operators } // namespace paddle REGISTER_OP_CUDA_KERNEL( elementwise_pow, ops::ElementwisePowKernel, ops::ElementwisePowKernel, ops::ElementwisePowKernel, ops::ElementwisePowKernel); REGISTER_OP_CUDA_KERNEL( elementwise_pow_grad, ops::ElementwisePowGradKernel, ops::ElementwisePowGradKernel, ops::ElementwisePowGradKernel, ops::ElementwisePowGradKernel);