ArmNN
 25.11
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NeonLogSoftmaxWorkload Class Reference

#include <NeonLogSoftmaxWorkload.hpp>

Inheritance diagram for NeonLogSoftmaxWorkload:
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Collaboration diagram for NeonLogSoftmaxWorkload:
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Public Member Functions

 NeonLogSoftmaxWorkload (const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
virtual void Execute () const override
Public Member Functions inherited from NeonBaseWorkload< LogSoftmaxQueueDescriptor >
 NeonBaseWorkload (const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info)
void ReplaceInputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
void ReplaceOutputTensorHandle (ITensorHandle *tensorHandle, unsigned int slot) override
Public Member Functions inherited from BaseWorkload< LogSoftmaxQueueDescriptor >
 BaseWorkload (const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info)
virtual const std::string & GetName () const override
void PostAllocationConfigure () override
const LogSoftmaxQueueDescriptorGetData () const
arm::pipe::ProfilingGuid GetGuid () const final
virtual bool SupportsTensorHandleReplacement () const override
Public Member Functions inherited from IWorkload
virtual ~IWorkload ()
virtual void RegisterDebugCallback (const DebugCallbackFunction &)
virtual armnn::Optional< armnn::MemoryRequirementsGetMemoryRequirements ()

Additional Inherited Members

Protected Member Functions inherited from NeonBaseWorkload< LogSoftmaxQueueDescriptor >
virtual void Reconfigure ()
Protected Attributes inherited from BaseWorkload< LogSoftmaxQueueDescriptor >
LogSoftmaxQueueDescriptor m_Data
const arm::pipe::ProfilingGuid m_Guid
const std::string m_Name

Detailed Description

Definition at line 24 of file NeonLogSoftmaxWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonLogSoftmaxWorkload()

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

Definition at line 33 of file NeonLogSoftmaxWorkload.cpp.

36 : NeonBaseWorkload<LogSoftmaxQueueDescriptor>(descriptor, info)
37{
38 // Report Profiling Details
39 ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonLogSoftmaxWorkload_Construct",
40 descriptor.m_Parameters,
41 info,
42 this->GetGuid());
43
44 m_Data.ValidateInputsOutputs("NeonLogSoftmaxWorkload", 1, 1);
45
46 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
47 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
48
49 auto layer = std::make_unique<arm_compute::NELogSoftmaxLayer>(memoryManager);
50 int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
51 layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
52 m_LogSoftmaxLayer.reset(layer.release());
53}
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &tensor)
Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank,...

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnn::ComputeAclAxis(), armnn::info, BaseWorkload< LogSoftmaxQueueDescriptor >::m_Data, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, NeonBaseWorkload< LogSoftmaxQueueDescriptor >::NeonBaseWorkload(), and armnn::PolymorphicDowncast().

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 55 of file NeonLogSoftmaxWorkload.cpp.

56{
57 ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonLogSoftmaxWorkload_Execute");
58 m_LogSoftmaxLayer->run();
59}
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.

References ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID.


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