NeonConstantWorkload Class Reference

#include <NeonConstantWorkload.hpp>

Inheritance diagram for NeonConstantWorkload:

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

Detailed Description

Definition at line 13 of file NeonConstantWorkload.hpp.

Constructor & Destructor Documentation

NeonConstantWorkload()

NeonConstantWorkload	(	const ConstantQueueDescriptor &	descriptor,
		const WorkloadInfo &	info
	)

Definition at line 20 of file NeonConstantWorkload.cpp.

    : BaseWorkload<ConstantQueueDescriptor>(descriptor, info)
    , m_RanOnce(false)
{
}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 27 of file NeonConstantWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON, BaseWorkload< ConstantQueueDescriptor >::m_Data, ConstantQueueDescriptor::m_LayerOutput, and QueueDescriptor::m_Outputs.

{
    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConstantWorkload_Execute");

    using namespace armcomputetensorutils;

    // The intermediate tensor held by the corresponding layer output handler can be initialised with the
    // given data on the first inference, then reused for subsequent inferences.
    // The initialisation cannot happen at workload construction time since the ACL kernel for the next layer
    // may not have been configured at the time.
    if (!m_RanOnce)
    {
        const ConstantQueueDescriptor& data = this->m_Data;

        BOOST_ASSERT(data.m_LayerOutput != nullptr);
        arm_compute::ITensor& output =
            boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetTensor();
        arm_compute::DataType computeDataType =
            boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetDataType();

        switch (computeDataType)
        {
            case arm_compute::DataType::F16:
            {
                CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<Half>(), output);
                break;
            }
            case arm_compute::DataType::F32:
            {
                CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<float>(), output);
                break;
            }
            case arm_compute::DataType::QASYMM8:
            {
                CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<uint8_t>(), output);
                break;
            }
            default:
            {
                BOOST_ASSERT_MSG(false, "Unknown data type");
                break;
            }
        }

        m_RanOnce = true;
    }
}

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

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