RefLstmWorkload.hpp

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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#pragma once
 
#include <armnn/TypesUtils.hpp>
 
#include "RefBaseWorkload.hpp"
#include <armnn/backends/WorkloadData.hpp>
 
namespace armnn
{
 
class RefLstmWorkload : public RefBaseWorkload<LstmQueueDescriptor>
{
public:
    explicit RefLstmWorkload(const LstmQueueDescriptor& descriptor, const WorkloadInfo& info);
 
    void Execute() const override;
    void ExecuteAsync(ExecutionData& executionData)  override;
 
private:
    void Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const;
    std::unique_ptr<ScopedTensorHandle> m_InputToInputWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_InputToForgetWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_InputToCellWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_InputToOutputWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_RecurrentToInputWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_RecurrentToForgetWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_RecurrentToCellWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_RecurrentToOutputWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_CellToInputWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_CellToForgetWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_CellToOutputWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_InputGateBiasTensor;
    std::unique_ptr<ScopedTensorHandle> m_ForgetGateBiasTensor;
    std::unique_ptr<ScopedTensorHandle> m_CellBiasTensor;
    std::unique_ptr<ScopedTensorHandle> m_OutputGateBiasTensor;
    std::unique_ptr<ScopedTensorHandle> m_ProjectionWeightsTensor;
    std::unique_ptr<ScopedTensorHandle> m_ProjectionBiasTensor;
    std::unique_ptr<ScopedTensorHandle> m_InputLayerNormWeights;
    std::unique_ptr<ScopedTensorHandle> m_ForgetLayerNormWeights;
    std::unique_ptr<ScopedTensorHandle> m_CellLayerNormWeights;
    std::unique_ptr<ScopedTensorHandle> m_OutputLayerNormWeights;
 
    float m_LayerNormEpsilon = static_cast<float>(1e-8);
};
 
} //namespace armnn