ArmNN
 20.02
NeonSpaceToDepthWorkload Class Reference

#include <NeonSpaceToDepthWorkload.hpp>

Inheritance diagram for NeonSpaceToDepthWorkload:
BaseWorkload< SpaceToDepthQueueDescriptor > IWorkload

Public Member Functions

 NeonSpaceToDepthWorkload (const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info)
 
virtual void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< SpaceToDepthQueueDescriptor >
 BaseWorkload (const SpaceToDepthQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const SpaceToDepthQueueDescriptorGetData () 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< SpaceToDepthQueueDescriptor >
const SpaceToDepthQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 

Detailed Description

Definition at line 21 of file NeonSpaceToDepthWorkload.hpp.

Constructor & Destructor Documentation

◆ NeonSpaceToDepthWorkload()

NeonSpaceToDepthWorkload ( const SpaceToDepthQueueDescriptor descriptor,
const WorkloadInfo info 
)

Definition at line 28 of file NeonSpaceToDepthWorkload.cpp.

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

30  : BaseWorkload<SpaceToDepthQueueDescriptor>(desc, info)
31 {
32  m_Data.ValidateInputsOutputs("NeonSpaceToDepthWorkload", 1, 1);
33 
34  arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
35 
36  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
37  input.info()->set_data_layout(aclDataLayout);
38 
39  int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize);
40 
41  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
42  output.info()->set_data_layout(aclDataLayout);
43 
44  m_Layer.reset(new arm_compute::NESpaceToDepthLayer());
45  m_Layer->configure(&input, &output, blockSize);
46  m_Layer->prepare();
47 }
DataLayout
Definition: Types.hpp:49
const SpaceToDepthQueueDescriptor m_Data
Definition: Workload.hpp:46
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:33
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 49 of file NeonSpaceToDepthWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_NEON.

50 {
51  if (m_Layer)
52  {
53  ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToDepthWorkload_Execute");
54  m_Layer->run();
55  }
56 }
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)

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