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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClQuantizedLstmWorkload.hpp"
#include "ClWorkloadUtils.hpp"
#include <armnn/backends/TensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <cl/ClTensorHandle.hpp>
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status ClQuantizedLstmWorkloadValidate(const TensorInfo& input, const TensorInfo& previousCellStateIn,
const TensorInfo& previousOutputIn, const TensorInfo& cellStateOut,
const TensorInfo& output,
const QuantizedLstmInputParamsInfo& paramsInfo)
{
// Inputs
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclPreviousCellStateInInfo = BuildArmComputeTensorInfo(previousCellStateIn);
const arm_compute::TensorInfo aclPreviousOutputInInfo = BuildArmComputeTensorInfo(previousOutputIn);
// Outputs
const arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
// Basic parameters
const arm_compute::TensorInfo aclInputToInputWeightsInfo
= BuildArmComputeTensorInfo(paramsInfo.GetInputToInputWeights());
const arm_compute::TensorInfo aclInputToForgetWeightsInfo
= BuildArmComputeTensorInfo(paramsInfo.GetInputToForgetWeights());
const arm_compute::TensorInfo aclInputToCellWeightsInfo
= BuildArmComputeTensorInfo(paramsInfo.GetInputToCellWeights());
const arm_compute::TensorInfo aclInputToOutputWeightsInfo
= BuildArmComputeTensorInfo(paramsInfo.GetInputToOutputWeights());
const arm_compute::TensorInfo aclRecurrentToInputWeightsInfo
= BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToInputWeights());
const arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo
= BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToForgetWeights());
const arm_compute::TensorInfo aclRecurrentToCellWeightsInfo
= BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToCellWeights());
const arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo
= BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToOutputWeights());
const arm_compute::TensorInfo aclInputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputGateBias());
const arm_compute::TensorInfo aclForgetGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetForgetGateBias());
const arm_compute::TensorInfo aclCellBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellBias());
const arm_compute::TensorInfo aclOutputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetOutputGateBias());
return arm_compute::CLLSTMLayerQuantized::validate(&aclInputInfo, &aclInputToInputWeightsInfo,
&aclInputToForgetWeightsInfo, &aclInputToCellWeightsInfo,
&aclInputToOutputWeightsInfo, &aclRecurrentToInputWeightsInfo,
&aclRecurrentToForgetWeightsInfo, &aclRecurrentToCellWeightsInfo,
&aclRecurrentToOutputWeightsInfo, &aclInputGateBiasInfo,
&aclForgetGateBiasInfo, &aclCellBiasInfo, &aclOutputGateBiasInfo,
&aclPreviousCellStateInInfo, &aclPreviousOutputInInfo,
&aclCellStateOutInfo, &aclOutputInfo);
}
ClQuantizedLstmWorkload::ClQuantizedLstmWorkload(const QuantizedLstmQueueDescriptor &descriptor,
const WorkloadInfo &info,
const arm_compute::CLCompileContext& clCompileContext)
: ClBaseWorkload<QuantizedLstmQueueDescriptor>(descriptor, info)
{
m_InputToInputWeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights->GetTensorInfo());
m_InputToForgetWeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights->GetTensorInfo());
m_InputToCellWeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights->GetTensorInfo());
m_InputToOutputWeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights->GetTensorInfo());
m_RecurrentToInputWeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights->GetTensorInfo());
m_RecurrentToForgetWeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights->GetTensorInfo());
m_RecurrentToCellWeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights->GetTensorInfo());
m_RecurrentToOutputWeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights->GetTensorInfo());
m_InputGateBiasTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_InputGateBiasTensor, m_Data.m_InputGateBias->GetTensorInfo());
m_ForgetGateBiasTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias->GetTensorInfo());
m_CellBiasTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_CellBiasTensor, m_Data.m_CellBias->GetTensorInfo());
m_OutputGateBiasTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias->GetTensorInfo());
const arm_compute::ICLTensor& inputTensor = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& cellStateInTensor = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
const arm_compute::ICLTensor& outputStateInTensor = static_cast<IClTensorHandle*>(m_Data.m_Inputs[2])->GetTensor();
arm_compute::ICLTensor& cellStateOutTensor = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
arm_compute::ICLTensor& outputStateOutTensor = static_cast<IClTensorHandle*>(m_Data.m_Outputs[1])->GetTensor();
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClQuantizedLstmWorkload_configure");
m_QuantizedLstmLayer.configure(clCompileContext, &inputTensor, m_InputToInputWeightsTensor.get(),
m_InputToForgetWeightsTensor.get(),
m_InputToCellWeightsTensor.get(), m_InputToOutputWeightsTensor.get(),
m_RecurrentToInputWeightsTensor.get(), m_RecurrentToForgetWeightsTensor.get(),
m_RecurrentToCellWeightsTensor.get(), m_RecurrentToOutputWeightsTensor.get(),
m_InputGateBiasTensor.get(), m_ForgetGateBiasTensor.get(),
m_CellBiasTensor.get(),
m_OutputGateBiasTensor.get(), &cellStateInTensor, &outputStateInTensor,
&cellStateOutTensor, &outputStateOutTensor);
}
InitializeArmComputeClTensorData(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights);
InitializeArmComputeClTensorData(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights);
InitializeArmComputeClTensorData(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights);
InitializeArmComputeClTensorData(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights);
InitializeArmComputeClTensorData(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights);
InitializeArmComputeClTensorData(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights);
InitializeArmComputeClTensorData(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights);
InitializeArmComputeClTensorData(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights);
InitializeArmComputeClTensorData(*m_InputGateBiasTensor, m_Data.m_InputGateBias);
InitializeArmComputeClTensorData(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias);
InitializeArmComputeClTensorData(*m_CellBiasTensor, m_Data.m_CellBias);
InitializeArmComputeClTensorData(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias);
m_QuantizedLstmLayer.prepare();
FreeUnusedTensors();
}
void ClQuantizedLstmWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClQuantizedLstmWorkload_Execute", this->GetGuid());
RunClFunction(m_QuantizedLstmLayer, CHECK_LOCATION());
}
void ClQuantizedLstmWorkload::FreeUnusedTensors()
{
FreeTensorIfUnused(m_InputToInputWeightsTensor);
FreeTensorIfUnused(m_InputToForgetWeightsTensor);
FreeTensorIfUnused(m_InputToCellWeightsTensor);
FreeTensorIfUnused(m_InputToOutputWeightsTensor);
FreeTensorIfUnused(m_RecurrentToInputWeightsTensor);
FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor);
FreeTensorIfUnused(m_RecurrentToCellWeightsTensor);
FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor);
FreeTensorIfUnused(m_InputGateBiasTensor);
FreeTensorIfUnused(m_ForgetGateBiasTensor);
FreeTensorIfUnused(m_CellBiasTensor);
FreeTensorIfUnused(m_OutputGateBiasTensor);
}
} // namespace armnn
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