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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 <arm_compute/graph/Tensor.h>
#include <arm_compute/runtime/CL/functions/CLLSTMLayer.h>
#include <arm_compute/runtime/CL/functions/CLPermute.h>
#include <arm_compute/runtime/CL/functions/CLSplit.h>
#include <arm_compute/runtime/CL/functions/CLConcatenateLayer.h>
namespace armnn
{
class ClUnidirectionalSequenceLstmFloatWorkload : public FloatWorkload<UnidirectionalSequenceLstmQueueDescriptor>
{
public:
ClUnidirectionalSequenceLstmFloatWorkload(const UnidirectionalSequenceLstmQueueDescriptor& descriptor,
const WorkloadInfo& info,
const arm_compute::CLCompileContext& clCompileContext);
virtual void Execute() const override;
private:
//
// ACL layers required to fully form a Unidirectional Sequence LSTM layer.
//
// permutation for input (only used when input is batch major)
mutable std::unique_ptr<arm_compute::CLPermute> m_Permute1;
mutable std::unique_ptr<arm_compute::IFunction> m_Splitter;
mutable std::vector<std::unique_ptr<arm_compute::CLLSTMLayer>> m_Layers;
mutable std::unique_ptr<arm_compute::CLConcatenateLayer> m_Concat;
// permutation for output (only used when input is batch major)
mutable std::unique_ptr<arm_compute::CLPermute> m_Permute2;
//
// ACL LSTM arm_compute::CLTensors.
//
std::unique_ptr<arm_compute::CLTensor> m_InputToInputWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_InputToForgetWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_InputToCellWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_InputToOutputWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_RecurrentToInputWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_RecurrentToForgetWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_RecurrentToCellWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_RecurrentToOutputWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_CellToInputWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_CellToForgetWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_CellToOutputWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_InputGateBiasTensor;
std::unique_ptr<arm_compute::CLTensor> m_ForgetGateBiasTensor;
std::unique_ptr<arm_compute::CLTensor> m_CellBiasTensor;
std::unique_ptr<arm_compute::CLTensor> m_OutputGateBiasTensor;
std::unique_ptr<arm_compute::CLTensor> m_ProjectionWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_ProjectionBiasTensor;
std::unique_ptr<arm_compute::CLTensor> m_ScratchBuffer;
std::unique_ptr<arm_compute::CLTensor> m_InputLayerNormWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_ForgetLayerNormWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_CellLayerNormWeightsTensor;
std::unique_ptr<arm_compute::CLTensor> m_OutputLayerNormWeightsTensor;
//
// Additional ACL arm_compute::CLTensors and std::vector<arm_compute::CLTensor>.
// Required to perform splitting, concatenation and permutations.
//
arm_compute::CLTensor m_PermuteFirstOut;
std::vector<arm_compute::CLTensor> m_SplitterOutputsTensors;
std::vector<arm_compute::CLTensor> m_ConcatInputsTensors;
std::vector<arm_compute::ICLTensor*> m_SplitterOutputs;
std::vector<const arm_compute::ICLTensor*> m_ConcatInputs;
arm_compute::CLTensor concat_out;
void FreeUnusedTensors();
};
arm_compute::Status
ClUnidirectionalSequenceLstmFloatWorkloadValidate(const TensorInfo& input,
const TensorInfo& outputStateIn,
const TensorInfo& cellStateIn,
const TensorInfo& output,
const Optional<TensorInfo>& hiddenStateOutput,
const Optional<TensorInfo>& cellStateOutput,
const UnidirectionalSequenceLstmDescriptor& descriptor,
const LstmInputParamsInfo& paramsInfo);
} //namespace armnn
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