ArmNN
 20.11
Public Member Functions | List of all members
NeonMeanWorkload Class Reference

#include <NeonMeanWorkload.hpp>

Inheritance diagram for NeonMeanWorkload:
BaseWorkload< MeanQueueDescriptor > IWorkload

Public Member Functions

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

Detailed Description

Definition at line 19 of file NeonMeanWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonMeanWorkload()

NeonMeanWorkload ( const MeanQueueDescriptor &  descriptor,
const WorkloadInfo &  info 
)

Definition at line 32 of file NeonMeanWorkload.cpp.

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

33  : BaseWorkload<MeanQueueDescriptor>(descriptor, info)
34 {
35  m_Data.ValidateInputsOutputs("NeonMeanWorkload", 1, 1);
36 
37  arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
38  arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
39 
40  arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(input.info()->num_dimensions(),
41  info.m_InputTensorInfos[0].GetNumDimensions(),
42  m_Data.m_Parameters.m_Axis);
43 
44  m_Layer.configure(&input, coords, m_Data.m_Parameters.m_KeepDims, &output);
45 }
armnn::Coordinates
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
Definition: InternalTypes.hpp:97
armnn::BaseWorkload< MeanQueueDescriptor >::m_Data
const MeanQueueDescriptor m_Data
Definition: Workload.hpp:46
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:460
armnn::MeanDescriptor::m_Axis
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
Definition: Descriptors.hpp:955
armnn::MeanDescriptor::m_KeepDims
bool m_KeepDims
Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept...
Definition: Descriptors.hpp:957
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 47 of file NeonMeanWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

48 {
49  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMeanWorkload_Execute");
50  m_Layer.run();
51 }
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
The documentation for this class was generated from the following files: