ArmNN
 22.05
Public Member Functions | List of all members
RefConvolution2dWorkload Class Reference

#include <RefConvolution2dWorkload.hpp>

Inheritance diagram for RefConvolution2dWorkload:
RefBaseWorkload< Convolution2dQueueDescriptor > BaseWorkload< Convolution2dQueueDescriptor > IWorkload

Public Member Functions

 RefConvolution2dWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void Execute () const override
 
void ExecuteAsync (WorkingMemDescriptor &workingMemDescriptor) override
 
- Public Member Functions inherited from RefBaseWorkload< Convolution2dQueueDescriptor >
 RefBaseWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual bool SupportsTensorHandleReplacement () const override
 
void ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
 
void ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
 
- Public Member Functions inherited from BaseWorkload< Convolution2dQueueDescriptor >
 BaseWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ExecuteAsync (WorkingMemDescriptor &workingMemDescriptor) override
 
void PostAllocationConfigure () override
 
const Convolution2dQueueDescriptor & GetData () const
 
arm::pipe::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< Convolution2dQueueDescriptor >
Convolution2dQueueDescriptor m_Data
 
const arm::pipe::ProfilingGuid m_Guid
 

Detailed Description

Definition at line 16 of file RefConvolution2dWorkload.hpp.

Constructor & Destructor Documentation

◆ RefConvolution2dWorkload()

RefConvolution2dWorkload ( const Convolution2dQueueDescriptor &  descriptor,
const WorkloadInfo &  info 
)
explicit

Definition at line 15 of file RefConvolution2dWorkload.cpp.

17  : RefBaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)
18  , m_InputShape(info.m_InputTensorInfos[0].GetShape())
19  , m_FilterShape(info.m_InputTensorInfos[1].GetShape())
20  , m_OutputShape(info.m_OutputTensorInfos[0].GetShape())
21 {
22  WorkloadInfo detailsInfo;
23  detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos;
24  detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos;
25 
26  // Report Profiling Details
27  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("RefConvolution2dWorkload_Construct",
28  descriptor.m_Parameters,
29  detailsInfo,
30  this->GetGuid());
31 }
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 33 of file RefConvolution2dWorkload.cpp.

References BaseWorkload< Convolution2dQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, and QueueDescriptor::m_Outputs.

Referenced by RefConvolution2dWorkload::ExecuteAsync().

34 {
35  Execute(m_Data.m_Inputs, m_Data.m_Outputs);
36 }
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26

◆ ExecuteAsync()

void ExecuteAsync ( WorkingMemDescriptor &  workingMemDescriptor)
overridevirtual

Implements IWorkload.

Definition at line 38 of file RefConvolution2dWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_GUID, armnn::Convolve(), armnn::CpuRef, RefConvolution2dWorkload::Execute(), BaseWorkload< Convolution2dQueueDescriptor >::GetGuid(), armnn::GetTensorInfo(), Convolution2dDescriptor::m_BiasEnabled, BaseWorkload< Convolution2dQueueDescriptor >::m_Data, Convolution2dDescriptor::m_DataLayout, Convolution2dDescriptor::m_DilationX, Convolution2dDescriptor::m_DilationY, WorkingMemDescriptor::m_Inputs, WorkingMemDescriptor::m_Outputs, Convolution2dDescriptor::m_PadLeft, Convolution2dDescriptor::m_PadTop, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, Convolution2dDescriptor::m_StrideX, and Convolution2dDescriptor::m_StrideY.

39 {
40  Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
41 }
The documentation for this class was generated from the following files: