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

#include <NeonArgMinMaxWorkload.hpp>

Inheritance diagram for NeonArgMinMaxWorkload:
BaseWorkload< ArgMinMaxQueueDescriptor > IWorkload

Public Member Functions

 NeonArgMinMaxWorkload (const ArgMinMaxQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< ArgMinMaxQueueDescriptor >
 BaseWorkload (const ArgMinMaxQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const ArgMinMaxQueueDescriptor & 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< ArgMinMaxQueueDescriptor >
const ArgMinMaxQueueDescriptor m_Data
 
const profiling::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 53 of file NeonArgMinMaxWorkload.cpp.

References 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().

55  : BaseWorkload<ArgMinMaxQueueDescriptor>(descriptor, info)
56 {
57  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
58  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
59 
60  auto numDims = info.m_InputTensorInfos[0].GetNumDimensions();
61  auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, m_Data.m_Parameters.m_Axis);
62  int aclAxis = boost::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
63 
64  auto layer = std::make_unique<arm_compute::NEArgMinMaxLayer>();
65 
66  if (m_Data.m_Parameters.m_Function == ArgMinMaxFunction::Max)
67  {
68  layer->configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MAX);
69  }
70  else
71  {
72  layer->configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MIN);
73  }
74 
75  m_ArgMinMaxLayer.reset(layer.release());
76 }
armnn::BaseWorkload< ArgMinMaxQueueDescriptor >::m_Data
const ArgMinMaxQueueDescriptor m_Data
Definition: Workload.hpp:46
armnn::ArgMinMaxDescriptor::m_Function
ArgMinMaxFunction m_Function
Specify if the function is to find Min or Max.
Definition: Descriptors.hpp:56
armnnUtils::GetUnsignedAxis
unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis)
Definition: TensorUtils.cpp:127
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:33
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
armnn::ArgMinMaxDescriptor::m_Axis
int m_Axis
Axis to reduce across the input tensor.
Definition: Descriptors.hpp:58
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 78 of file NeonArgMinMaxWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

79 {
80  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonArgMinMaxWorkload_Execute");
81  m_ArgMinMaxLayer->run();
82 }
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: