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

#include <NeonSoftmaxFloatWorkload.hpp>

Inheritance diagram for NeonSoftmaxFloatWorkload:
TypedWorkload< QueueDescriptor, DataTypes > BaseWorkload< QueueDescriptor > IWorkload

Public Member Functions

 NeonSoftmaxFloatWorkload (const SoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
 
virtual void Execute () const override
 
- Public Member Functions inherited from TypedWorkload< QueueDescriptor, DataTypes >
 TypedWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
 
- Public Member Functions inherited from BaseWorkload< QueueDescriptor >
 BaseWorkload (const QueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const QueueDescriptor & 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< QueueDescriptor >
const QueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 

Detailed Description

Definition at line 18 of file NeonSoftmaxFloatWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonSoftmaxFloatWorkload()

NeonSoftmaxFloatWorkload ( const SoftmaxQueueDescriptor &  descriptor,
const WorkloadInfo &  info,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > &  memoryManager 
)

Definition at line 16 of file NeonSoftmaxFloatWorkload.cpp.

References armnn::ComputeSoftmaxAclAxis(), BaseWorkload< QueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, WorkloadInfo::m_InputTensorInfos, QueueDescriptor::m_Outputs, and QueueDescriptor::ValidateInputsOutputs().

18  : FloatWorkload<SoftmaxQueueDescriptor>(descriptor, info)
19 {
20  m_Data.ValidateInputsOutputs("NeonSoftmaxFloatWorkload", 1, 1);
21 
22  // The ArmCompute softmax layer uses 2D input/output tensors, so flatten the first three dimensions.
23  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
24  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
25 
26  auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager);
27  unsigned int aclAxis = ComputeSoftmaxAclAxis(m_Data.m_Parameters, info.m_InputTensorInfos[0]);
28  layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
29  m_SoftmaxLayer.reset(layer.release());
30 }
armnn::BaseWorkload::m_Data
const QueueDescriptor m_Data
Definition: Workload.hpp:46
armnn::QueueDescriptor::ValidateInputsOutputs
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Definition: WorkloadData.cpp:461
armnn::ComputeSoftmaxAclAxis
unsigned int ComputeSoftmaxAclAxis(const SoftmaxDescriptor &softmaxDesc, const armnn::TensorInfo &tensor)
Definition: ArmComputeUtils.hpp:139
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

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 32 of file NeonSoftmaxFloatWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

33 {
34  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxFloatWorkload_Execute");
35  m_SoftmaxLayer->run();
36 }
ARMNN_SCOPED_PROFILING_EVENT_NEON
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
Definition: NeonWorkloadUtils.hpp:17
The documentation for this class was generated from the following files: