/* Copyright (c) 2021 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. */ #ifndef _USE_MATH_DEFINES #define _USE_MATH_DEFINES #endif #include "paddle/fluid/operators/eigen/eigen_function.h" #include "paddle/fluid/platform/eigen_ext.h" #include "paddle/fluid/platform/float16.h" namespace paddle { namespace operators { template struct EigenErf { using InType = Eigen::TensorMap< Eigen::Tensor>; using OutType = Eigen::TensorMap>; static void Eval(const Eigen::GpuDevice& dev, OutType out, const InType& in) { out.device(dev) = in.erf(); } }; template struct EigenErfGrad { using InType = Eigen::TensorMap< Eigen::Tensor>; using OutType = Eigen::TensorMap>; static void Eval(const Eigen::GpuDevice& dev, OutType din, const InType& in, const InType& dout) { din.device(dev) = dout * static_cast(M_2_SQRTPI) * (-(in.square())).exp(); } }; #define INSTANTIATION(FUNCTOR) \ template struct FUNCTOR; \ template struct FUNCTOR; \ template struct FUNCTOR INSTANTIATION(EigenErf); INSTANTIATION(EigenErfGrad); #undef INSTANTIATION } // namespace operators } // namespace paddle