ArmNN
 20.02
Public Member Functions | List of all members
RefActivationWorkload Class Reference

#include <RefActivationWorkload.hpp>

Inheritance diagram for RefActivationWorkload:
BaseWorkload< ActivationQueueDescriptor > IWorkload

Public Member Functions

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

Detailed Description

Definition at line 14 of file RefActivationWorkload.hpp.

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 18 of file RefActivationWorkload.cpp.

References armnn::Activation, ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, armnn::GetTensorInfo(), ActivationDescriptor::m_A, ActivationDescriptor::m_B, BaseWorkload< ActivationQueueDescriptor >::m_Data, ActivationDescriptor::m_Function, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, and QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters.

19 {
20  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefActivationWorkload_Execute");
21 
22  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
23  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
24 
25  Activation(*MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map()),
26  *MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map()),
27  inputInfo,
28  m_Data.m_Parameters.m_Function,
29  m_Data.m_Parameters.m_A,
30  m_Data.m_Parameters.m_B);
31 }
armnn::Compute::CpuRef
CPU Execution: Reference C++ kernels.
armnn::BaseWorkload< ActivationQueueDescriptor >::m_Data
const ActivationQueueDescriptor m_Data
Definition: Workload.hpp:46
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:25
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:169
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:37
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
armnn::ActivationDescriptor::m_B
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:39
armnn::ActivationDescriptor::m_Function
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square).
Definition: Descriptors.hpp:35
The documentation for this class was generated from the following files: