/* 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/op_registry.h" #include "paddle/operators/math/math_function.h" #include "paddle/operators/math/maxouting.h" namespace paddle { namespace operators { using Tensor = framework::Tensor; template class MaxOutKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { const Tensor* in_x = context.Input("X"); Tensor* out = context.Output("Out"); int groups = context.template Attr("groups"); paddle::operators::math::MaxOutFunctor< Place, T> maxout_forward; maxout_forward(context.device_context(), *in_x, out, groups); } }; template class MaxOutGradKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { const Tensor* in_x = context.Input("X"); const Tensor* out = context.Input("Out"); const Tensor* out_grad = context.Input(framework::GradVarName("Out")); Tensor* in_x_grad = context.Output(framework::GradVarName("X")); int groups = context.template Attr("groups"); auto& device_ctx = context.device_context(); math::SetConstant zero; if (in_x_grad) { in_x_grad->mutable_data(context.GetPlace()); zero(device_ctx, in_x_grad, static_cast(0.0)); paddle::operators::math::MaxOutGradFunctor maxout_backward; maxout_backward(context.device_context(), *in_x, *in_x_grad, *out, *out_grad, groups); } } }; } // namespace operators } // namespace paddle