ArmNN
 21.02
RefPreluWorkload Class Reference

#include <RefPreluWorkload.hpp>

Inheritance diagram for RefPreluWorkload:
BaseWorkload< PreluQueueDescriptor > IWorkload

Public Member Functions

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

Detailed Description

Definition at line 14 of file RefPreluWorkload.hpp.

Constructor & Destructor Documentation

◆ RefPreluWorkload()

RefPreluWorkload ( const PreluQueueDescriptor descriptor,
const WorkloadInfo info 
)
explicit

Definition at line 16 of file RefPreluWorkload.cpp.

18  : BaseWorkload(descriptor, info)
19 {}
BaseWorkload(const PreluQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: Workload.hpp:32

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 21 of file RefPreluWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, armnn::GetTensorInfo(), BaseWorkload< PreluQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, and armnn::PreluImpl().

22 {
23  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefPreluWorkload_Execute");
24 
25  std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]),
26  m_Data.m_Inputs[0]->Map());
27  std::unique_ptr<Decoder<float>> alphaDecoder = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[1]),
28  m_Data.m_Inputs[1]->Map());
29  std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
30  m_Data.m_Outputs[0]->Map());
31 
32  PreluImpl(m_Data, *inputDecoder, *alphaDecoder, *outputEncoder);
33 }
CPU Execution: Reference C++ kernels.
const PreluQueueDescriptor m_Data
Definition: Workload.hpp:46
void PreluImpl(const PreluQueueDescriptor &data, Decoder< float > &inputData, Decoder< float > &alphaData, Encoder< float > &outputData)
Definition: PreluImpl.cpp:13
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:173
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: