ArmNN
 22.05.01
Public Member Functions | List of all members
NeonArgMinMaxWorkload Class Reference

#include <NeonArgMinMaxWorkload.hpp>

Inheritance diagram for NeonArgMinMaxWorkload:
NeonBaseWorkload< ArgMinMaxQueueDescriptor > BaseWorkload< ArgMinMaxQueueDescriptor > IWorkload

Public Member Functions

 NeonArgMinMaxWorkload (const ArgMinMaxQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from NeonBaseWorkload< ArgMinMaxQueueDescriptor >
 NeonBaseWorkload (const ArgMinMaxQueueDescriptor &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< ArgMinMaxQueueDescriptor >
 BaseWorkload (const ArgMinMaxQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ExecuteAsync (WorkingMemDescriptor &workingMemDescriptor) override
 
void PostAllocationConfigure () override
 
const ArgMinMaxQueueDescriptor & GetData () 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 &)
 

Additional Inherited Members

- Protected Member Functions inherited from NeonBaseWorkload< ArgMinMaxQueueDescriptor >
virtual void Reconfigure ()
 
- Protected Attributes inherited from BaseWorkload< ArgMinMaxQueueDescriptor >
ArgMinMaxQueueDescriptor m_Data
 
const arm::pipe::ProfilingGuid m_Guid
 

Detailed Description

Definition at line 20 of file NeonArgMinMaxWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonArgMinMaxWorkload()

NeonArgMinMaxWorkload ( const ArgMinMaxQueueDescriptor &  descriptor,
const WorkloadInfo &  info 
)

Definition at line 55 of file NeonArgMinMaxWorkload.cpp.

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, armnnUtils::GetUnsignedAxis(), ArgMinMaxDescriptor::m_Axis, BaseWorkload< ArgMinMaxQueueDescriptor >::m_Data, ArgMinMaxDescriptor::m_Function, QueueDescriptor::m_Inputs, WorkloadInfo::m_InputTensorInfos, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, armnn::Max, and armnn::numeric_cast().

57  : NeonBaseWorkload<ArgMinMaxQueueDescriptor>(descriptor, info)
58 {
59  // Report Profiling Details
60  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonArgMinMaxWorkload_Construct",
61  descriptor.m_Parameters,
62  info,
63  this->GetGuid());
64 
65  arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
66  arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
67 
68  auto numDims = info.m_InputTensorInfos[0].GetNumDimensions();
69  auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, m_Data.m_Parameters.m_Axis);
70  int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
71 
72  auto layer = std::make_unique<arm_compute::NEArgMinMaxLayer>();
73 
74  if (m_Data.m_Parameters.m_Function == ArgMinMaxFunction::Max)
75  {
76  layer->configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MAX);
77  }
78  else
79  {
80  layer->configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MIN);
81  }
82 
83  m_ArgMinMaxLayer.reset(layer.release());
84 }
armnn::ArgMinMaxDescriptor::m_Function
ArgMinMaxFunction m_Function
Specify if the function is to find Min or Max.
Definition: Descriptors.hpp:81
armnnUtils::GetUnsignedAxis
unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis)
Definition: TensorUtils.cpp:164
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
armnn::numeric_cast
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:35
armnn::ArgMinMaxDescriptor::m_Axis
int m_Axis
Axis to reduce across the input tensor.
Definition: Descriptors.hpp:83
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 86 of file NeonArgMinMaxWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID, and BaseWorkload< ArgMinMaxQueueDescriptor >::GetGuid().

87 {
88  ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonArgMinMaxWorkload_Execute", this->GetGuid());
89  m_ArgMinMaxLayer->run();
90 }
armnn::BaseWorkload< ArgMinMaxQueueDescriptor >::GetGuid
arm::pipe::ProfilingGuid GetGuid() const final
Definition: Workload.hpp:59
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)
Definition: NeonWorkloadUtils.hpp:24
The documentation for this class was generated from the following files: