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67 lines
2.1 KiB
67 lines
2.1 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. 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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#pragma once
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#include "ModelConfig.pb.h"
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#include "hl_gpu.h"
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#include "paddle/utils/Common.h"
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namespace paddle {
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class LstmCompute {
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public:
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void init(LayerConfig &config);
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/**
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* LstmLayer batch compute API (forwardBatch, backwardBatch).
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* If use batch compute api, lstm value(and grad) need to be batch structure.
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* Compute order:
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* forwardBatch: for 0 <= id < numBatch
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* backwardBatch: for numBatch > id >= 0
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*/
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template <bool useGpu>
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void forwardBatch(hl_lstm_value value, int frameSize, int batchSize);
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template <bool useGpu>
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void backwardBatch(hl_lstm_value value,
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hl_lstm_grad grad,
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int frameSize,
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int batchSize);
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/**
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* LstmLayer sequence compute API (forwardOneSequence, backwardOneSequence).
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* Compute order(for each sequence):
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* forwardOneSequence:
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* if (!reversed) for 0 <= seqId < seqLength
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* if (reversed) for seqLength > seqId >= 0
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* backwardOneSequence:
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* if (!reversed) for seqLength > seqId >= 0
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* if (reversed) for 0 <= seqId < seqLength
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*/
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template <bool useGpu>
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void forwardOneSequence(hl_lstm_value value, int frameSize);
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template <bool useGpu>
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void backwardOneSequence(hl_lstm_value value,
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hl_lstm_grad grad,
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int frameSize);
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public:
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hl_activation_mode_t activeNode_;
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hl_activation_mode_t activeGate_;
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hl_activation_mode_t activeState_;
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};
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} // namespace paddle
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