NeonLstmFloatWorkload.hpp

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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#pragma once
 
#include <armnn/Descriptors.hpp>
#include <armnn/LstmParams.hpp>
#include <armnn/backends/Workload.hpp>
#include <armnn/backends/WorkloadData.hpp>
 
#include "arm_compute/graph/Tensor.h"
#include "arm_compute/runtime/NEON/functions/NELSTMLayer.h"
 
namespace armnn
{
 
class NeonLstmFloatWorkload : public FloatWorkload<LstmQueueDescriptor>
{
public:
    NeonLstmFloatWorkload(const LstmQueueDescriptor& descriptor, const WorkloadInfo& info);
    virtual void Execute() const override;
    // Replace input tensor handle with the given TensorHandle
    void ReplaceInputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot) override;
 
    // Replace output tensor handle with the given TensorHandle
    void ReplaceOutputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot) override;
private:
    mutable arm_compute::NELSTMLayer m_LstmLayer;
 
    std::unique_ptr<arm_compute::Tensor> m_InputToInputWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_InputToForgetWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_InputToCellWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_InputToOutputWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_RecurrentToInputWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_RecurrentToForgetWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_RecurrentToCellWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_RecurrentToOutputWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_CellToInputWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_CellToForgetWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_CellToOutputWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_InputGateBiasTensor;
    std::unique_ptr<arm_compute::Tensor> m_ForgetGateBiasTensor;
    std::unique_ptr<arm_compute::Tensor> m_CellBiasTensor;
    std::unique_ptr<arm_compute::Tensor> m_OutputGateBiasTensor;
    std::unique_ptr<arm_compute::Tensor> m_ProjectionWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_ProjectionBiasTensor;
 
    std::unique_ptr<arm_compute::Tensor> m_ScratchBuffer;
 
    std::unique_ptr<arm_compute::Tensor> m_InputLayerNormWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_ForgetLayerNormWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_CellLayerNormWeightsTensor;
    std::unique_ptr<arm_compute::Tensor> m_OutputLayerNormWeightsTensor;
 
    void FreeUnusedTensors();
    virtual void Reconfigure();
};
 
arm_compute::Status NeonLstmFloatWorkloadValidate(const TensorInfo& input, const TensorInfo& outputStateIn,
                                                  const TensorInfo& cellStateIn, const TensorInfo& scratchBuffer,
                                                  const TensorInfo& outputStateOut, const TensorInfo& cellStateOut,
                                                  const TensorInfo& output, const LstmDescriptor &descriptor,
                                                  const LstmInputParamsInfo& paramsInfo);
 
} //namespace armnn