RefArgMinMaxWorkload Class Reference

#include <RefArgMinMaxWorkload.hpp>

Inheritance diagram for RefArgMinMaxWorkload:

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

Detailed Description

Definition at line 13 of file RefArgMinMaxWorkload.hpp.

Constructor & Destructor Documentation

RefArgMinMaxWorkload()

RefArgMinMaxWorkload ( const ArgMinMaxQueueDescriptor &  descriptor, const WorkloadInfo &  info  )

explicit

Definition at line 16 of file RefArgMinMaxWorkload.cpp.

        : BaseWorkload<ArgMinMaxQueueDescriptor>(descriptor, info) {}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 21 of file RefArgMinMaxWorkload.cpp.

References armnn::ArgMinMax, ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, armnn::GetTensorInfo(), ArgMinMaxDescriptor::m_Axis, BaseWorkload< ArgMinMaxQueueDescriptor >::m_Data, ArgMinMaxDescriptor::m_Function, QueueDescriptor::m_Inputs, ArgMinMaxDescriptor::m_Output_Type, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and armnn::Signed32.

{
    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefArgMinMaxWorkload_Execute");

    const TensorInfo &inputTensorInfo = GetTensorInfo(m_Data.m_Inputs[0]);

    std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputTensorInfo, m_Data.m_Inputs[0]->Map());
    Decoder<float> &decoder = *decoderPtr;

    const TensorInfo &outputTensorInfo = GetTensorInfo(m_Data.m_Outputs[0]);

    if (m_Data.m_Parameters.m_Output_Type == armnn::DataType::Signed32) {
        int32_t *output = GetOutputTensorData<int32_t>(0, m_Data);
        ArgMinMax(decoder, output, inputTensorInfo, outputTensorInfo, m_Data.m_Parameters.m_Function,
                  m_Data.m_Parameters.m_Axis);
    } else {
        int64_t *output = GetOutputTensorData<int64_t>(0, m_Data);
        ArgMinMax(decoder, output, inputTensorInfo, outputTensorInfo, m_Data.m_Parameters.m_Function,
                  m_Data.m_Parameters.m_Axis);
    }
}

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

• src/backends/reference/workloads/RefArgMinMaxWorkload.hpp
• src/backends/reference/workloads/RefArgMinMaxWorkload.cpp