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//
// Copyright © 2022 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 "NeonBaseWorkload.hpp"
#include "arm_compute/runtime/NEON/functions/NEQLSTMLayer.h"
#include "arm_compute/runtime/NEON/functions/NEPermute.h"
#include "arm_compute/runtime/NEON/functions/NESplit.h"
#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"
namespace armnn
{
class NeonUnidirectionalSequenceLstmWorkload : public NeonBaseWorkload<UnidirectionalSequenceLstmQueueDescriptor>
{
public:
NeonUnidirectionalSequenceLstmWorkload(const UnidirectionalSequenceLstmQueueDescriptor& descriptor,
const WorkloadInfo& info);
virtual void Execute() const override;
private:
//
// ACL layers required to fully form a Unidirectional Sequence LSTM layer.
//
mutable std::unique_ptr<arm_compute::NEPermute> m_Permute1;
mutable std::unique_ptr<arm_compute::IFunction> m_Splitter;
mutable std::vector<std::unique_ptr<arm_compute::NEQLSTMLayer>> m_Layers;
mutable std::unique_ptr<arm_compute::NEConcatenateLayer> m_Concat;
mutable std::unique_ptr<arm_compute::NEPermute> m_Permute2;
//
// ACL LSTM arm_compute::Tensors.
//
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_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;
//
// Additional ACL arm_compute::Tensors and std::vector<arm_compute::Tensor>.
// Required to perform splitting, concatenation and permutations.
//
arm_compute::Tensor m_PermuteFirstOut;
std::vector<arm_compute::Tensor> m_SplitterOutputsTensors;
std::vector<arm_compute::Tensor> m_ConcatInputsTensors;
std::vector<arm_compute::ITensor*> m_SplitterOutputs;
std::vector<const arm_compute::ITensor*> m_ConcatInputs;
arm_compute::Tensor concat_out;
void FreeUnusedTensors();
};
arm_compute::Status
NeonUnidirectionalSequenceLstmWorkloadValidate(const TensorInfo& input,
const TensorInfo& outputStateIn,
const TensorInfo& cellStateIn,
const TensorInfo& outputStateOut,
const TensorInfo& cellStateOut,
const TensorInfo& output,
const UnidirectionalSequenceLstmDescriptor& descriptor,
const LstmInputParamsInfo& paramsInfo);
} //namespace armnn
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