ClTransposeConvolution2dWorkload Class Reference

#include <ClTransposeConvolution2dWorkload.hpp>

Inheritance diagram for ClTransposeConvolution2dWorkload:

Public Member Functions
	ClTransposeConvolution2dWorkload (const TransposeConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager, const arm_compute::CLCompileContext &clCompileContext)
void	Execute () const override
Public Member Functions inherited from BaseWorkload< TransposeConvolution2dQueueDescriptor >
	BaseWorkload (const TransposeConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
void	PostAllocationConfigure () override
const TransposeConvolution2dQueueDescriptor &	GetData () const
profiling::ProfilingGuid	GetGuid () const final
Public Member Functions inherited from IWorkload
virtual	~IWorkload ()
virtual void	RegisterDebugCallback (const DebugCallbackFunction &)

Additional Inherited Members
Protected Attributes inherited from BaseWorkload< TransposeConvolution2dQueueDescriptor >
const TransposeConvolution2dQueueDescriptor	m_Data
const profiling::ProfilingGuid	m_Guid

Detailed Description

Definition at line 27 of file ClTransposeConvolution2dWorkload.hpp.

Constructor & Destructor Documentation

ClTransposeConvolution2dWorkload()

ClTransposeConvolution2dWorkload	(	const TransposeConvolution2dQueueDescriptor &	descriptor,
		const WorkloadInfo &	info,
		std::shared_ptr< arm_compute::MemoryManagerOnDemand > &	memoryManager,
		const arm_compute::CLCompileContext &	clCompileContext
	)

Definition at line 56 of file ClTransposeConvolution2dWorkload.cpp.

References ConstCpuTensorHandle::GetTensorInfo(), BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data, and TransposeConvolution2dQueueDescriptor::m_Weight.

                                                         :
    BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info),
    m_Layer(memoryManager)
{
    const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();

    m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
    BuildArmComputeTensor(*m_WeightsTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);

    if (m_Data.m_Parameters.m_BiasEnabled)
    {
        m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
        BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
    }

    m_Data.ValidateInputsOutputs("ClTransposeConvolution2dWorkload", 1, 1);

    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();

    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);

    input.info()->set_data_layout(aclDataLayout);
    output.info()->set_data_layout(aclDataLayout);

    arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
    m_Layer.configure(clCompileContext, &input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, padStrideInfo);

    InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);
    if (m_BiasesTensor)
    {
        InitializeArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias);
    }

    m_Layer.prepare();

    FreeUnusedTensors();
}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 99 of file ClTransposeConvolution2dWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_CL, CHECK_LOCATION, and armnn::RunClFunction().

{
    ARMNN_SCOPED_PROFILING_EVENT_CL("ClTransposeConvolution2dWorkload_Execute");
    RunClFunction(m_Layer, CHECK_LOCATION());
}

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The documentation for this class was generated from the following files:

• src/backends/cl/workloads/ClTransposeConvolution2dWorkload.hpp
• src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp