ArmNN
 24.08
NeonMeanWorkload Class Reference

#include <NeonMeanWorkload.hpp>

Inheritance diagram for NeonMeanWorkload:
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Collaboration diagram for NeonMeanWorkload:
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Public Member Functions

 NeonMeanWorkload (const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void Execute () const override
 
- Public Member Functions inherited from NeonBaseWorkload< MeanQueueDescriptor >
 NeonBaseWorkload (const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
 
void ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
 
- Public Member Functions inherited from BaseWorkload< MeanQueueDescriptor >
 BaseWorkload (const MeanQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual const std::string & GetName () const override
 
void ExecuteAsync (ExecutionData &executionData) override
 
void PostAllocationConfigure () override
 
const MeanQueueDescriptorGetData () const
 
arm::pipe::ProfilingGuid GetGuid () const final
 
virtual bool SupportsTensorHandleReplacement () const override
 
- Public Member Functions inherited from IWorkload
virtual ~IWorkload ()
 
virtual arm::pipe::ProfilingGuid GetGuid () const =0
 
virtual bool SupportsTensorHandleReplacement () const =0
 
virtual const std::string & GetName () const =0
 
virtual void RegisterDebugCallback (const DebugCallbackFunction &)
 
virtual armnn::Optional< armnn::MemoryRequirementsGetMemoryRequirements ()
 

Additional Inherited Members

- Protected Member Functions inherited from NeonBaseWorkload< MeanQueueDescriptor >
virtual void Reconfigure ()
 
- Protected Attributes inherited from BaseWorkload< MeanQueueDescriptor >
MeanQueueDescriptor m_Data
 
const arm::pipe::ProfilingGuid m_Guid
 
const std::string m_Name
 

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.

33  : NeonBaseWorkload<MeanQueueDescriptor>(descriptor, info)
34 {
35  // Report Profiling Details
36  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonMeanWorkload_Construct",
37  descriptor.m_Parameters,
38  info,
39  this->GetGuid());
40 
41  m_Data.ValidateInputsOutputs("NeonMeanWorkload", 1, 1);
42 
43  arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
44  arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
45 
46  arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(input.info()->num_dimensions(),
47  info.m_InputTensorInfos[0].GetNumDimensions(),
49 
50  m_Layer.configure(&input, coords, m_Data.m_Parameters.m_KeepDims, &output);
51 }

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::info, BaseWorkload< MeanQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and QueueDescriptor::ValidateInputsOutputs().

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 53 of file NeonMeanWorkload.cpp.

54 {
55  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonMeanWorkload_Execute");
56  m_Layer.run();
57 }

References ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID.


The documentation for this class was generated from the following files:
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:447
armnn::Coordinates
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
Definition: InternalTypes.hpp:15
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:1192
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::BoostLogSeverityMapping::info
@ info
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
armnn::MeanDescriptor::m_Axis
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
Definition: Descriptors.hpp:1190
armnn::BaseWorkload< MeanQueueDescriptor >::m_Data
MeanQueueDescriptor m_Data
Definition: Workload.hpp:89
ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: NeonWorkloadUtils.hpp:33
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26