/* 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. */ #pragma once #include #include "paddle/fluid/framework/eigen.h" #include "paddle/fluid/framework/op_registry.h" #ifdef PADDLE_WITH_MKLDNN #include "paddle/fluid/platform/mkldnn_helper.h" #endif namespace paddle { namespace operators { template class MKLDNNActivationKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { PADDLE_ENFORCE(context.Input("X") != nullptr, "Cannot get input tensor X, variable name = %s", context.InputName("X")); PADDLE_ENFORCE(context.Output("Out") != nullptr, "Cannot find output tensor Out, variable name = %s", context.OutputName("Out")); Functor functor; auto attrs = functor.GetAttrs(); for (auto& attr : attrs) { *attr.second = context.Attr(attr.first); } functor(context); } }; template class MKLDNNActivationGradKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { Functor functor; auto attrs = functor.GetAttrs(); for (auto& attr : attrs) { *attr.second = context.Attr(attr.first); } functor(context); } }; } // namespace operators } // namespace paddle