wehub-resource-sync
59 lines
2.0 KiB
C++
59 lines
2.0 KiB
C++
//
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// CPURNNSequenceGRU.hpp
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// MNN
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//
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// Created by MNN on 2019/03/19.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef CPURNNSequenceGRU_hpp
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#define CPURNNSequenceGRU_hpp
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#include "core/Execution.hpp"
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#include "CPUMatMul.hpp"
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#include "backend/cpu/compute/CommonOptFunction.h"
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namespace MNN {
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class CPURNNSequenceGRU : public Execution {
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public:
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CPURNNSequenceGRU(const Op *op, Backend *backend);
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virtual ~CPURNNSequenceGRU();
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virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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struct RNNFuntions {
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MNNBinaryExecute mulFunction;
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MNNBinaryExecute addFunction;
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MNNBinaryExecute subFunction;
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MNNUnaryExecute tanhFunction;
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MNNUnaryExecute sigmoidFunction;
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int bytes;
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};
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private:
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void runRNNStep(const uint8_t* input, const int inputLength, const bool linearBeforeReset,
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uint8_t* hiddenStateInput, const int numUnits, Tensor* gateWeight, Tensor* gateBias,
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Tensor* candidateWeight, Tensor* candidateBias, Tensor* recurrentBias,
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std::shared_ptr<Tensor>& inputAndState, std::shared_ptr<Tensor>& gate,
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std::shared_ptr<Tensor>& resetHt, uint8_t* hiddenStateOutput);
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bool mKeepAllOutputs;
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bool mIsBidirectionalRNN;
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bool mlinearBeforeReset;
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int mNumUnits;
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std::shared_ptr<Tensor> mHiddenState;
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std::shared_ptr<Tensor> mInputAndState;
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std::shared_ptr<Tensor> mGate;
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std::shared_ptr<Tensor> mResetHt;
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// For inputLength + numUnit -> numUnit
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std::shared_ptr<CPUMatMul> mMatMulIU2U;
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// For numUnit -> numUnit
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std::shared_ptr<CPUMatMul> mMatMulU2U;
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// For inputLength -> numUnit
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std::shared_ptr<CPUMatMul> mMatMulI2U;
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RNNFuntions mRNNFunctions;
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};
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} // namespace MNN
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#endif /* CPURNNSequenceGRU_hpp */
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