NeonSpaceToBatchNdWorkload Class Reference

#include <NeonSpaceToBatchNdWorkload.hpp>

Inheritance diagram for NeonSpaceToBatchNdWorkload:

Public Member Functions
	NeonSpaceToBatchNdWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
virtual void	Execute () const override
Public Member Functions inherited from BaseWorkload< SpaceToBatchNdQueueDescriptor >
	BaseWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
void	PostAllocationConfigure () override
const SpaceToBatchNdQueueDescriptor &	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< SpaceToBatchNdQueueDescriptor >
const SpaceToBatchNdQueueDescriptor	m_Data
const profiling::ProfilingGuid	m_Guid

Detailed Description

Definition at line 22 of file NeonSpaceToBatchNdWorkload.hpp.

Constructor & Destructor Documentation

NeonSpaceToBatchNdWorkload()

NeonSpaceToBatchNdWorkload	(	const SpaceToBatchNdQueueDescriptor &	descriptor,
		const WorkloadInfo &	info
	)

Definition at line 44 of file NeonSpaceToBatchNdWorkload.cpp.

References SpaceToBatchNdDescriptor::m_BlockShape, BaseWorkload< SpaceToBatchNdQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, armnn::numeric_cast(), and QueueDescriptor::ValidateInputsOutputs().

        : BaseWorkload<SpaceToBatchNdQueueDescriptor>(desc, info)
{
    m_Data.ValidateInputsOutputs("NESpaceToBatchNdWorkload", 1, 1);

    arm_compute::ITensor& input  =
            PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ITensor& output =
            PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();

    // ArmNN blockShape is [H, W] Cl asks for W, H
    int32_t blockHeight = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
    int32_t blockWidth  = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);

    arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
            m_Data.m_Parameters.m_PadList[1].first, m_Data.m_Parameters.m_PadList[0].first);
    arm_compute::Size2D paddingRightBottom  = BuildArmComputeSize2D(
            m_Data.m_Parameters.m_PadList[1].second, m_Data.m_Parameters.m_PadList[0].second);

    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
    input.info()->set_data_layout(aclDataLayout);
    output.info()->set_data_layout(aclDataLayout);

    m_Layer.reset(new arm_compute::NESpaceToBatchLayer());
    m_Layer->configure(&input,
                       blockWidth,
                       blockHeight,
                       paddingLeftTop,
                       paddingRightBottom,
                       &output);
    m_Layer->prepare();
}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 78 of file NeonSpaceToBatchNdWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

{
    if (m_Layer)
    {
        ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToBatchNdWorkload_Execute");
        m_Layer->run();
    }
}

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

• src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.hpp
• src/backends/neon/workloads/NeonSpaceToBatchNdWorkload.cpp