ArmNN
 21.11
NeonSpaceToBatchNdWorkload Class Reference

#include <NeonSpaceToBatchNdWorkload.hpp>

Inheritance diagram for NeonSpaceToBatchNdWorkload:
BaseWorkload< SpaceToBatchNdQueueDescriptor > IWorkload

Public Member Functions

 NeonSpaceToBatchNdWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< SpaceToBatchNdQueueDescriptor >
 BaseWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void ExecuteAsync (WorkingMemDescriptor &workingMemDescriptor) override
 
void PostAllocationConfigure () override
 
const SpaceToBatchNdQueueDescriptorGetData () 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< SpaceToBatchNdQueueDescriptor >
SpaceToBatchNdQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 

Detailed Description

Definition at line 22 of file NeonSpaceToBatchNdWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonSpaceToBatchNdWorkload()

NeonSpaceToBatchNdWorkload ( const SpaceToBatchNdQueueDescriptor descriptor,
const WorkloadInfo info 
)

Definition at line 44 of file NeonSpaceToBatchNdWorkload.cpp.

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, SpaceToBatchNdDescriptor::m_BlockShape, BaseWorkload< SpaceToBatchNdQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, armnn::numeric_cast(), and QueueDescriptor::ValidateInputsOutputs().

46  : BaseWorkload<SpaceToBatchNdQueueDescriptor>(descriptor, info)
47 {
48  // Report Profiling Details
49  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonSpaceToBatchNdWorkload_Construct",
50  descriptor.m_Parameters,
51  info,
52  this->GetGuid());
53 
54  m_Data.ValidateInputsOutputs("NESpaceToBatchNdWorkload", 1, 1);
55 
56  arm_compute::ITensor& input =
57  PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
58  arm_compute::ITensor& output =
59  PolymorphicPointerDowncast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
60 
61  // ArmNN blockShape is [H, W] Cl asks for W, H
62  int32_t blockHeight = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
63  int32_t blockWidth = armnn::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
64 
65  arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
67  arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(
69 
70  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
71  input.info()->set_data_layout(aclDataLayout);
72  output.info()->set_data_layout(aclDataLayout);
73 
74  m_Layer.reset(new arm_compute::NESpaceToBatchLayer());
75  m_Layer->configure(&input,
76  blockWidth,
77  blockHeight,
78  paddingLeftTop,
79  paddingRightBottom,
80  &output);
81  m_Layer->prepare();
82 }
DataLayout
Definition: Types.hpp:49
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
std::vector< std::pair< unsigned int, unsigned int > > m_PadList
Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left, right}.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
std::vector< unsigned int > m_BlockShape
Block shape value.
std::vector< ITensorHandle * > m_Outputs
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:35
std::vector< ITensorHandle * > m_Inputs

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 84 of file NeonSpaceToBatchNdWorkload.cpp.

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

85 {
86  if (m_Layer)
87  {
88  ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonSpaceToBatchNdWorkload_Execute", this->GetGuid());
89  m_Layer->run();
90  }
91 }
profiling::ProfilingGuid GetGuid() const final
Definition: Workload.hpp:55
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)

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