ArmNN
 21.02
RefReduceWorkload Class Reference

#include <RefReduceWorkload.hpp>

Inheritance diagram for RefReduceWorkload:
BaseWorkload< ReduceQueueDescriptor > IWorkload

Public Member Functions

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

Detailed Description

Definition at line 14 of file RefReduceWorkload.hpp.

Constructor & Destructor Documentation

◆ RefReduceWorkload()

RefReduceWorkload ( const ReduceQueueDescriptor descriptor,
const WorkloadInfo info 
)
explicit

Definition at line 16 of file RefReduceWorkload.cpp.

19  : BaseWorkload<ReduceQueueDescriptor>(descriptor, info) {}

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 21 of file RefReduceWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, armnn::GetTensorInfo(), BaseWorkload< ReduceQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, ReduceDescriptor::m_ReduceOperation, ReduceDescriptor::m_vAxis, and armnn::Reduce.

22 {
23  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefReduceWorkload_Execute");
24 
25  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
26  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
27 
28  std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
29  Decoder<float>& decoder = *decoderPtr;
30 
31  std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
32  Encoder<float>& encoder = *encoderPtr;
33 
34  Reduce(inputInfo,
35  outputInfo,
36  decoder,
37  encoder,
40 }
CPU Execution: Reference C++ kernels.
const ReduceQueueDescriptor m_Data
Definition: Workload.hpp:46
ReduceOperation m_ReduceOperation
Specifies the reduction operation to execute.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:173
std::vector< uint32_t > m_vAxis
The indices of the dimensions to reduce.
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers

The documentation for this class was generated from the following files: