/* 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/operators/elementwise_op_function.h" namespace paddle { namespace operators { template class ElementwiseSubKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { ElementwiseCompute(ctx); } }; template struct ElementwiseSubGradFunctor { template void operator()(Device d, X x, Y y, Z z, dX dx, dY dy, dZ dz) { auto dz_e = framework::EigenVector::Flatten(*dz); if (dx) { auto dx_e = framework::EigenVector::Flatten(*dx); dx_e.device(d) = dz_e; } if (dy) { auto dy_e = framework::EigenVector::Flatten(*dy); dy_e.device(d) = (-1.0) * dz_e; } } }; template struct ElementwiseSubBroadCastGradFunctor { template void operator()(Device d, X x, Y y, Z z, dX dx, dY dy, dZ dz, Pre pre, N n) { auto dz_e = framework::EigenVector::Flatten(*dz); if (dx) { auto dx_e = framework::EigenVector::Flatten(*dx); dx_e.device(d) = dz_e; } if (dy) { auto dy_e = framework::EigenVector::Flatten(*dy); dy_e.device(d) = (-1.0) * dz_e.reshape(Eigen::DSizes(pre, n)) .sum(Eigen::array{{0}}); } } }; template struct ElementwiseSubBroadCast2GradFunctor { template void operator()(Device d, X x, Y y, Z z, dX dx, dY dy, dZ dz, Pre pre, N n, Post post) { auto dz_e = framework::EigenVector::Flatten(*dz); if (dx) { auto dx_e = framework::EigenVector::Flatten(*dx); dx_e.device(d) = dz_e; } if (dy) { auto dy_e = framework::EigenVector::Flatten(*dy); dy_e.device(d) = (-1.0) * dz_e.reshape(Eigen::DSizes(pre, n, post)) .sum(Eigen::array{{0, 2}}); } } }; template class ElementwiseSubGradKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { ElementwiseGradCompute, ElementwiseSubBroadCastGradFunctor, ElementwiseSubBroadCast2GradFunctor>(ctx); } }; } // namespace operators } // namespace paddle