NeonConvertFp32ToFp16Workload Class Reference

#include <NeonConvertFp32ToFp16Workload.hpp>

Inheritance diagram for NeonConvertFp32ToFp16Workload:

Collaboration diagram for NeonConvertFp32ToFp16Workload:

Public Member Functions
	NeonConvertFp32ToFp16Workload (const ConvertFp32ToFp16QueueDescriptor &descriptor, const WorkloadInfo &info)
virtual void	Execute () const override
void	ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
void	ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
Public Member Functions inherited from MultiTypedWorkload< QueueDescriptor, armnn::DataType::Float32, armnn::DataType::Float16 >
	MultiTypedWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
Public Member Functions inherited from BaseWorkload< QueueDescriptor >
	BaseWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
virtual const std::string &	GetName () const override
void	PostAllocationConfigure () override
const QueueDescriptor &	GetData () const
arm::pipe::ProfilingGuid	GetGuid () const final
virtual bool	SupportsTensorHandleReplacement () const override
Public Member Functions inherited from IWorkload
virtual	~IWorkload ()
virtual void	RegisterDebugCallback (const DebugCallbackFunction &)
virtual armnn::Optional< armnn::MemoryRequirements >	GetMemoryRequirements ()

Additional Inherited Members
Protected Attributes inherited from BaseWorkload< QueueDescriptor >
QueueDescriptor	m_Data
const arm::pipe::ProfilingGuid	m_Guid
const std::string	m_Name

Detailed Description

Definition at line 19 of file NeonConvertFp32ToFp16Workload.hpp.

Constructor & Destructor Documentation

NeonConvertFp32ToFp16Workload()

NeonConvertFp32ToFp16Workload	(	const ConvertFp32ToFp16QueueDescriptor &	descriptor,
		const WorkloadInfo &	info )

Definition at line 31 of file NeonConvertFp32ToFp16Workload.cpp.

    : Float32ToFloat16Workload<ConvertFp32ToFp16QueueDescriptor>(descriptor, info)
{
    this->m_Data.ValidateInputsOutputs("NeonConvertFp32ToFp16Workload", 1, 1);
 
    arm_compute::ITensor& input  = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
 
    if (arm_compute::NECast::validate(input.info(), output.info(), g_AclConvertPolicy))
    {
        // Use NECast if supported (needs hardware support for FP16)
        m_Cast.reset(new arm_compute::NECast);
        m_Cast->configure(&input, &output, g_AclConvertPolicy);
    }
    else
    {
        // Else use software implementation from Half.hpp
        GatherTensorHandlePairs(descriptor, m_TensorHandlePairs);
    }
}

References armnn::GatherTensorHandlePairs(), armnn::info, BaseWorkload< QueueDescriptor >::m_Data, and armnn::PolymorphicDowncast().

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 53 of file NeonConvertFp32ToFp16Workload.cpp.

{
    ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonConvertFp32ToFp16Workload_Execute");
 
    if (m_Cast)
    {
        // Use NECast if supported and initialised
        m_Cast->run();
    }
    else
    {
        // Else use softwre implementabion using Half.hpp
        auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size)
            {
                auto input = reinterpret_cast<const float*>(src);
                auto output = reinterpret_cast<Half*>(dst);
                size_t numElements = size/2; // 2 bytes per fp16
                armnnUtils::FloatingPointConverter::ConvertFloat32To16(input, numElements, output);
            };
 
        for (const auto& pair : m_TensorHandlePairs)
        {
            CopyTensorContentsGeneric(pair.first, pair.second, convertFunc);
        }
    }
}

References ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID, FloatingPointConverter::ConvertFloat32To16(), and armnn::CopyTensorContentsGeneric().

ReplaceInputTensorHandle()

void ReplaceInputTensorHandle ( ITensorHandle * tensorHandle, unsigned int slot )

overridevirtual

Reimplemented from BaseWorkload< QueueDescriptor >.

Definition at line 80 of file NeonConvertFp32ToFp16Workload.cpp.

{
    ITensorHandle* backupHandle = this->m_Data.m_Inputs[slot];
    this->m_Data.m_Inputs[slot] = tensorHandle;
    try
    {
        Reconfigure();
    }
    catch(armnn::UnimplementedException& e)
    {
        // Cannot reconfigure, revert the slot back and throw the exception.
        this->m_Data.m_Inputs[slot] = backupHandle;
        throw e;
    }
}

References BaseWorkload< QueueDescriptor >::m_Data.

ReplaceOutputTensorHandle()

void ReplaceOutputTensorHandle ( ITensorHandle * tensorHandle, unsigned int slot )

overridevirtual

Reimplemented from BaseWorkload< QueueDescriptor >.

Definition at line 97 of file NeonConvertFp32ToFp16Workload.cpp.

{
    ITensorHandle* backupHandle = this->m_Data.m_Inputs[slot];
    this->m_Data.m_Inputs[slot] = tensorHandle;
    try
    {
        Reconfigure();
    }
    catch(armnn::UnimplementedException& e)
    {
        // Cannot reconfigure, revert the slot back and throw the exception.
        this->m_Data.m_Inputs[slot] = backupHandle;
        throw e;
    }
}

References BaseWorkload< QueueDescriptor >::m_Data.

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

• src/backends/neon/workloads/NeonConvertFp32ToFp16Workload.hpp
• src/backends/neon/workloads/NeonConvertFp32ToFp16Workload.cpp