/* Copyright (c) 2016 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. */ #ifndef HL_LSTM_H_ #define HL_LSTM_H_ #include "hl_base.h" /** * @brief Lstm sequence parallel forward. * * @param[in] gateValue input value. * @param[out] stateValue state value. * @param[out] preOutputValue prev output value. * @param[out] outputValue output value. * @param[in] checkIg bias. * @param[in] checkFg bias. * @param[in] checkOg bias. * @param[in] weight weight. * @param[in] sequence sequence index. * @param[in] frameSize frame size. * @param[in] numSequences number of sequences. * @param[in] reversed reverse. * @param[in] active_node active input type. * @param[in] active_gate active state type. * @param[in] active_state actvie gate type. * * * @note Only support frameSize = 32 or 64. */ extern void hl_lstm_parallel_forward(real *gateValue, real *stateValue, real *preOutputValue, real *outputValue, real *checkIg, real *checkFg, real *checkOg, real *weight, const int *sequence, int frameSize, int numSequences, bool reversed, hl_activation_mode_t active_node, hl_activation_mode_t active_gate, hl_activation_mode_t active_state); /** * @brief Lstm sequence parallel backward data. * * @param[in] gateValue input value. * @param[out] gateGrad input gradient. * @param[in] stateValue state value. * @param[out] stateGrad state gradient. * @param[out] preOutputValue prev output value. * @param[out] preOutputGrad prev output gradient. * @param[in] outputGrad output gradient. * @param[in] checkIg bias. * @param[out] checkIgGrad bias gradient. * @param[in] checkFg bias. * @param[out] checkFgGrad bias gradient. * @param[in] checkOg bias. * @param[out] checkOgGrad bias gradient. * @param[in] weight weight. * @param[in] sequence sequence index. * @param[in] frameSize frame size. * @param[in] numSequences number of sequences. * @param[in] reversed reverse. * @param[in] active_node active input type. * @param[in] active_gate active state type. * @param[in] active_state actvie gate type. * * * @note Only support frameSize = 32 or 64. */ extern void hl_lstm_parallel_backward_data(real *gateValue, real *gateGrad, real *stateValue, real *stateGrad, real *preOutputValue, real *preOutputGrad, real *outputGrad, real *checkIg, real *checkIgGrad, real *checkFg, real *checkFgGrad, real *checkOg, real *checkOgGrad, real *weight, const int *sequence, int frameSize, int numSequences, bool reversed, hl_activation_mode_t active_node, hl_activation_mode_t active_gate, hl_activation_mode_t active_state); /** * @brief Lstm sequence parallel backward weight. * * @param[out] weightGrad weight gradient. * @param[in] outputValue output value. * @param[in] gateGrad gate gradient. * @param[in] sequence sequence index. * @param[in] frameSize frame size. * @param[in] batchSize batch size. * @param[in] numSequences number of sequences. * @param[in] reversed reverse. * */ extern void hl_lstm_parallel_backward_weight(real *weightGrad, real *outputValue, real *gateGrad, const int *sequence, int frameSize, int batchSize, int numSequences, bool reversed); #endif /* HL_LSTM_H_ */