ArmNN
 20.02
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 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 >
const 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 40 of file NeonSpaceToBatchNdWorkload.cpp.

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

42  : BaseWorkload<SpaceToBatchNdQueueDescriptor>(desc, info)
43 {
44  m_Data.ValidateInputsOutputs("NESpaceToBatchNdWorkload", 1, 1);
45 
46  arm_compute::ITensor& input =
47  boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
48  arm_compute::ITensor& output =
49  boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
50 
51  // ArmNN blockShape is [H, W] Cl asks for W, H
52  int32_t blockHeight = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
53  int32_t blockWidth = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
54 
55  arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
57  arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(
59 
60  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
61  input.info()->set_data_layout(aclDataLayout);
62  output.info()->set_data_layout(aclDataLayout);
63 
64  m_Layer.reset(new arm_compute::NESpaceToBatchLayer());
65  m_Layer->configure(&input,
66  blockWidth,
67  blockHeight,
68  paddingLeftTop,
69  paddingRightBottom,
70  &output);
71  m_Layer->prepare();
72 }
DataLayout
Definition: Types.hpp:49
const SpaceToBatchNdQueueDescriptor m_Data
Definition: Workload.hpp:46
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::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:33
std::vector< unsigned int > m_BlockShape
Block shape value.
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 74 of file NeonSpaceToBatchNdWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

75 {
76  if (m_Layer)
77  {
78  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToBatchNdWorkload_Execute");
79  m_Layer->run();
80  }
81 }
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)

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