ArmNN
 20.05
ClSpaceToBatchNdWorkload Class Reference

#include <ClSpaceToBatchNdWorkload.hpp>

Inheritance diagram for ClSpaceToBatchNdWorkload:
BaseWorkload< SpaceToBatchNdQueueDescriptor > IWorkload

Public Member Functions

 ClSpaceToBatchNdWorkload (const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info)
 
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 ClSpaceToBatchNdWorkload.hpp.

Constructor & Destructor Documentation

◆ ClSpaceToBatchNdWorkload()

ClSpaceToBatchNdWorkload ( const SpaceToBatchNdQueueDescriptor descriptor,
const WorkloadInfo info 
)

Definition at line 46 of file ClSpaceToBatchNdWorkload.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().

48  : BaseWorkload<SpaceToBatchNdQueueDescriptor>(descriptor, info)
49 {
50  m_Data.ValidateInputsOutputs("ClSpaceToBatchNdWorkload", 1, 1);
51 
52  arm_compute::ICLTensor& input =
53  armnn::PolymorphicPointerDowncast<IClTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
54  arm_compute::ICLTensor& output =
55  armnn::PolymorphicPointerDowncast<IClTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
56 
57  // ArmNN blockShape is [H, W] Cl asks for W, H
58  int32_t blockHeight = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
59  int32_t blockWidth = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
60 
61  arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
63  arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D(
65 
66  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
67  input.info()->set_data_layout(aclDataLayout);
68  output.info()->set_data_layout(aclDataLayout);
69 
70  m_SpaceToBatchLayer.configure(&input,
71  blockWidth,
72  blockHeight,
73  paddingLeftTop,
74  paddingRightBottom,
75  &output);
76 }
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 78 of file ClSpaceToBatchNdWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_CL, CHECK_LOCATION, and armnn::RunClFunction().

79 {
80  ARMNN_SCOPED_PROFILING_EVENT_CL("ClSpaceToBatchNdWorkload_Execute");
81  RunClFunction(m_SpaceToBatchLayer, CHECK_LOCATION());
82 }
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192

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