ArmNN
 20.05
RefMeanWorkload Class Reference

#include <RefMeanWorkload.hpp>

Inheritance diagram for RefMeanWorkload:
BaseWorkload< MeanQueueDescriptor > IWorkload

Public Member Functions

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

Detailed Description

Definition at line 17 of file RefMeanWorkload.hpp.

Constructor & Destructor Documentation

◆ RefMeanWorkload()

RefMeanWorkload ( const MeanQueueDescriptor descriptor,
const WorkloadInfo info 
)
explicit

Definition at line 18 of file RefMeanWorkload.cpp.

19  :BaseWorkload<MeanQueueDescriptor>(descriptor, info) {}

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 21 of file RefMeanWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, armnn::GetTensorInfo(), MeanDescriptor::m_Axis, BaseWorkload< MeanQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and armnn::Mean.

22 {
23  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefMeanWorkload_Execute");
24 
25  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
26  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
27 
28  auto inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
29  auto outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
30 
31  Mean(inputInfo, outputInfo, m_Data.m_Parameters.m_Axis, *inputDecoder, *outputEncoder);
32 }
CPU Execution: Reference C++ kernels.
const MeanQueueDescriptor m_Data
Definition: Workload.hpp:46
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:169
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs

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