ArmNN
 23.05
ClMeanWorkload Class Reference

#include <ClMeanWorkload.hpp>

Inheritance diagram for ClMeanWorkload:
ClBaseWorkload< MeanQueueDescriptor > BaseWorkload< MeanQueueDescriptor > IWorkload

Public Member Functions

 ClMeanWorkload (const MeanQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)
 
void Execute () const override
 
- Public Member Functions inherited from ClBaseWorkload< MeanQueueDescriptor >
 ClBaseWorkload (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)
 
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 void RegisterDebugCallback (const DebugCallbackFunction &)
 
virtual armnn::Optional< armnn::MemoryRequirementsGetMemoryRequirements ()
 

Additional Inherited Members

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

Detailed Description

Definition at line 19 of file ClMeanWorkload.hpp.

Constructor & Destructor Documentation

◆ ClMeanWorkload()

ClMeanWorkload ( const MeanQueueDescriptor descriptor,
const WorkloadInfo info,
const arm_compute::CLCompileContext &  clCompileContext 
)

Definition at line 31 of file ClMeanWorkload.cpp.

34  : ClBaseWorkload<MeanQueueDescriptor>(descriptor, info)
35 {
36  // Report Profiling Details
37  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClMeanWorkload_Construct",
38  descriptor.m_Parameters,
39  info,
40  this->GetGuid());
41  m_Data.ValidateInputsOutputs("ClMeanWorkload", 1, 1);
42 
43  arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
44  arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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  {
51  ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClMeanWorkload_configure");
52  m_Layer.configure(clCompileContext, &input, coords, m_Data.m_Parameters.m_KeepDims, &output);
53  }
54 }

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 56 of file ClMeanWorkload.cpp.

57 {
58  ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClMeanWorkload_Execute", this->GetGuid());
59  m_Layer.run();
60 }

References ARMNN_SCOPED_PROFILING_EVENT_CL_GUID, and BaseWorkload< MeanQueueDescriptor >::GetGuid().


The documentation for this class was generated from the following files:
armnn::BaseWorkload< MeanQueueDescriptor >::GetGuid
arm::pipe::ProfilingGuid GetGuid() const final
Definition: Workload.hpp:61
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:472
armnn::MeanDescriptor::m_Axis
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
Definition: Descriptors.hpp:1157
armnn::BaseWorkload< MeanQueueDescriptor >::m_Data
MeanQueueDescriptor m_Data
Definition: Workload.hpp:83
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:220
armnn::Compute::Undefined
@ Undefined
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
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:1159
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
m_Layer
IConnectableLayer * m_Layer
Definition: SubgraphViewSelector.cpp:247
ARMNN_SCOPED_PROFILING_EVENT_CL_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_CL_GUID(name, guid)
Definition: ClWorkloadUtils.hpp:28
armnn::Coordinates
std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates
Definition: InternalTypes.hpp:15
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
armnn::BoostLogSeverityMapping::info
@ info