NeonMultiplicationWorkload Class Reference

#include <NeonMultiplicationWorkload.hpp>

Inheritance diagram for NeonMultiplicationWorkload:

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

Detailed Description

Definition at line 21 of file NeonMultiplicationWorkload.hpp.

Constructor & Destructor Documentation

NeonMultiplicationWorkload()

NeonMultiplicationWorkload	(	const MultiplicationQueueDescriptor &	descriptor,
		const WorkloadInfo &	info
	)

Definition at line 34 of file NeonMultiplicationWorkload.cpp.

References BaseWorkload< MultiplicationQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, and QueueDescriptor::ValidateInputsOutputs().

    : BaseWorkload<MultiplicationQueueDescriptor>(descriptor, info)
{
    m_Data.ValidateInputsOutputs("NeonMultiplicationWorkload", 2, 1);

    arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ITensor& input2 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
    arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();

    // At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it,
    // when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be
    // ignored for F32 tensors.
    auto layer = std::make_unique<arm_compute::NEPixelWiseMultiplication>();
    layer->configure(&input1,
                     &input2,
                     &output,
                     1.0f,
                     arm_compute::ConvertPolicy::SATURATE,
                     arm_compute::RoundingPolicy::TO_ZERO);
    m_PixelWiseMultiplication.reset(layer.release());
}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 57 of file NeonMultiplicationWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

{
    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMultiplicationWorkload_Execute");
    m_PixelWiseMultiplication->run();
}

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

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