/* 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. */ #include "paddle/operators/math/detail/lstm_gpu_kernel.h" #include "paddle/operators/math/detail/lstm_kernel.h" #include "paddle/operators/math/lstm_compute.h" namespace paddle { namespace operators { namespace math { template struct LstmUnitFunctor { static void compute(const platform::DeviceContext& context, LstmMetaValue value, int frame_size, int batch_size, std::string gate_act, std::string cell_act, std::string cand_act) { detail::gpu_lstm_forward(context, detail::forward::lstm(), value, frame_size, batch_size, ActiveType(cand_act), ActiveType(gate_act), ActiveType(cell_act)); } }; template struct LstmUnitGradFunctor { static void compute(const platform::DeviceContext& context, LstmMetaValue value, LstmMetaGrad grad, int frame_size, int batch_size, std::string gate_act, std::string cell_act, std::string cand_act) { detail::gpu_lstm_backward(context, detail::backward::lstm(), value, grad, frame_size, batch_size, ActiveType(cand_act), ActiveType(gate_act), ActiveType(cell_act)); } }; template class LstmUnitFunctor; template class LstmUnitFunctor; template class LstmUnitGradFunctor; template class LstmUnitGradFunctor; } // namespace math } // namespace operators } // namespace paddle