ArmNN
 21.11
Public Member Functions | List of all members
RefConvolution2dWorkload Class Reference

#include <RefConvolution2dWorkload.hpp>

Inheritance diagram for RefConvolution2dWorkload:
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 BaseWorkload< Convolution2dQueueDescriptor >
 BaseWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ExecuteAsync (WorkingMemDescriptor &workingMemDescriptor) override
 
void PostAllocationConfigure () override
 
const Convolution2dQueueDescriptor & 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< Convolution2dQueueDescriptor >
Convolution2dQueueDescriptor m_Data
 
const profiling::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.

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, TensorInfo::GetShape(), ConstTensorHandle::GetTensorInfo(), Convolution2dQueueDescriptor::m_Bias, Convolution2dDescriptor::m_BiasEnabled, WorkloadInfo::m_BiasTensorInfo, WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, Convolution2dQueueDescriptor::m_Weight, and WorkloadInfo::m_WeightsTensorInfo.

17  : BaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)
18 {
19  WorkloadInfo detailsInfo;
20  detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos;
21  detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos;
22  detailsInfo.m_WeightsTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Weight->GetTensorInfo());
23  if (descriptor.m_Parameters.m_BiasEnabled)
24  {
25  detailsInfo.m_BiasTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Bias->GetTensorInfo());
26  }
27 
28  // Report Profiling Details
29  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("RefConvolution2dWorkload_Construct",
30  descriptor.m_Parameters,
31  detailsInfo,
32  this->GetGuid());
33 
34  m_Weight = std::make_unique<ScopedTensorHandle>(*( descriptor.m_Weight ));
35  const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo();
36 
37  m_FilterShape = rFilterInfo.GetShape();
38  m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight.get()->Map(true));
39 
40  if ( descriptor.m_Parameters.m_BiasEnabled )
41  {
42  m_Bias = std::make_unique<ScopedTensorHandle>(*( descriptor.m_Bias ));
43  const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
44  m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
45  }
46 }
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 48 of file RefConvolution2dWorkload.cpp.

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

Referenced by RefConvolution2dWorkload::ExecuteAsync().

49 {
50  Execute(m_Data.m_Inputs, m_Data.m_Outputs);
51 }
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

◆ ExecuteAsync()

void ExecuteAsync ( WorkingMemDescriptor &  workingMemDescriptor)
overridevirtual

Implements IWorkload.

Definition at line 53 of file RefConvolution2dWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_GUID, armnn::Convolve(), armnn::CpuRef, RefConvolution2dWorkload::Execute(), BaseWorkload< Convolution2dQueueDescriptor >::GetGuid(), TensorInfo::GetShape(), 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.

54 {
55  Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
56 }
The documentation for this class was generated from the following files: