/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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. */ #pragma once #include "paddle/framework/eigen.h" #include "paddle/framework/tensor.h" #include "paddle/platform/device_context.h" #include "paddle/platform/hostdevice.h" namespace paddle { namespace operators { namespace math { #define FLT_MAX \ __FLT_MAX__ /* * \brief Extracting simple operations from maxout. * need "initial", "compute" * operation. */ template class MaxOut { public: DEVICE inline T initial() { return static_cast(-FLT_MAX); } DEVICE inline void compute(T& y, const T& x) { y = y > x ? y : x; } }; template class MaxOutGrad { public: DEVICE inline void compute(const T& x, const T& y, const T& dy, T& dx, T scale) { dx += dy * (x == y); } }; template class MaxOutFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor * output, int groups, MaxOutProcess maxout_compute); }; template class MaxOutGradFunctor { public: void operator()(const platform::DeviceContext& context, const framework::Tensor& input, framework::Tensor& input_grad, const framework::Tensor& output, const framework::Tensor& output_grad, int groups); }; } // namespace math } // namespace operators } // namespace paddle