ArmNN
 20.02
Public Member Functions | List of all members
NeonL2NormalizationFloatWorkload Class Reference

#include <NeonL2NormalizationFloatWorkload.hpp>

Inheritance diagram for NeonL2NormalizationFloatWorkload:
TypedWorkload< QueueDescriptor, DataTypes > BaseWorkload< QueueDescriptor > IWorkload

Public Member Functions

 NeonL2NormalizationFloatWorkload (const L2NormalizationQueueDescriptor &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 23 of file NeonL2NormalizationFloatWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonL2NormalizationFloatWorkload()

NeonL2NormalizationFloatWorkload ( const L2NormalizationQueueDescriptor &  descriptor,
const WorkloadInfo &  info,
std::shared_ptr< arm_compute::MemoryManagerOnDemand > &  memoryManager 
)

Definition at line 30 of file NeonL2NormalizationFloatWorkload.cpp.

References BaseWorkload< QueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, and QueueDescriptor::ValidateInputsOutputs().

32  : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info)
33 {
34  m_Data.ValidateInputsOutputs("NeonL2NormalizationFloatWorkload", 1, 1);
35 
36  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
37  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
38 
39  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
40  input.info()->set_data_layout(aclDataLayout);
41  output.info()->set_data_layout(aclDataLayout);
42 
43  int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
44 
45  auto layer = std::make_unique<arm_compute::NEL2NormalizeLayer>(memoryManager);
46  layer->configure(&input, &output, axis, m_Data.m_Parameters.m_Eps);
47  m_Layer.reset(layer.release());
48 }
armnn::DataLayout
DataLayout
Definition: Types.hpp:49
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::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 50 of file NeonL2NormalizationFloatWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

51 {
52  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonL2NormalizationFloatWorkload_Execute");
53  m_Layer->run();
54 }
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: