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132 lines
5.7 KiB
132 lines
5.7 KiB
/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#ifndef HL_LSTM_H_
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#define HL_LSTM_H_
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#include "hl_base.h"
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/**
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* @brief Lstm sequence parallel forward.
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*
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* @param[in] gateValue input value.
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* @param[out] stateValue state value.
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* @param[out] preOutputValue prev output value.
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* @param[out] outputValue output value.
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* @param[in] checkIg bias.
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* @param[in] checkFg bias.
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* @param[in] checkOg bias.
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* @param[in] weight weight.
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* @param[in] sequence sequence index.
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* @param[in] frameSize frame size.
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* @param[in] numSequences number of sequences.
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* @param[in] reversed reverse.
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* @param[in] active_node active input type.
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* @param[in] active_gate active state type.
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* @param[in] active_state actvie gate type.
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*
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*
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* @note Only support frameSize = 32 or 64.
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*/
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extern void hl_lstm_parallel_forward(real *gateValue,
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real *stateValue,
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real *preOutputValue,
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real *outputValue,
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real *checkIg,
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real *checkFg,
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real *checkOg,
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real *weight,
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const int *sequence,
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int frameSize,
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int numSequences,
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bool reversed,
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hl_activation_mode_t active_node,
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hl_activation_mode_t active_gate,
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hl_activation_mode_t active_state);
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/**
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* @brief Lstm sequence parallel backward data.
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*
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* @param[in] gateValue input value.
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* @param[out] gateGrad input gradient.
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* @param[in] stateValue state value.
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* @param[out] stateGrad state gradient.
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* @param[out] preOutputValue prev output value.
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* @param[out] preOutputGrad prev output gradient.
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* @param[in] outputGrad output gradient.
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* @param[in] checkIg bias.
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* @param[out] checkIgGrad bias gradient.
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* @param[in] checkFg bias.
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* @param[out] checkFgGrad bias gradient.
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* @param[in] checkOg bias.
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* @param[out] checkOgGrad bias gradient.
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* @param[in] weight weight.
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* @param[in] sequence sequence index.
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* @param[in] frameSize frame size.
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* @param[in] numSequences number of sequences.
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* @param[in] reversed reverse.
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* @param[in] active_node active input type.
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* @param[in] active_gate active state type.
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* @param[in] active_state actvie gate type.
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*
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*
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* @note Only support frameSize = 32 or 64.
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*/
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extern void hl_lstm_parallel_backward_data(real *gateValue,
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real *gateGrad,
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real *stateValue,
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real *stateGrad,
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real *preOutputValue,
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real *preOutputGrad,
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real *outputGrad,
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real *checkIg,
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real *checkIgGrad,
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real *checkFg,
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real *checkFgGrad,
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real *checkOg,
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real *checkOgGrad,
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real *weight,
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const int *sequence,
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int frameSize,
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int numSequences,
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bool reversed,
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hl_activation_mode_t active_node,
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hl_activation_mode_t active_gate,
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hl_activation_mode_t active_state);
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/**
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* @brief Lstm sequence parallel backward weight.
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*
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* @param[out] weightGrad weight gradient.
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* @param[in] outputValue output value.
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* @param[in] gateGrad gate gradient.
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* @param[in] sequence sequence index.
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* @param[in] frameSize frame size.
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* @param[in] batchSize batch size.
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* @param[in] numSequences number of sequences.
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* @param[in] reversed reverse.
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*
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*/
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extern void hl_lstm_parallel_backward_weight(real *weightGrad,
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real *outputValue,
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real *gateGrad,
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const int *sequence,
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int frameSize,
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int batchSize,
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int numSequences,
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bool reversed);
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#endif /* HL_LSTM_H_ */
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