ArmNN
 21.02
RefBatchToSpaceNdWorkload Class Reference

#include <RefBatchToSpaceNdWorkload.hpp>

Inheritance diagram for RefBatchToSpaceNdWorkload:
BaseWorkload< BatchToSpaceNdQueueDescriptor > IWorkload

Public Member Functions

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

Detailed Description

Definition at line 13 of file RefBatchToSpaceNdWorkload.hpp.

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 14 of file RefBatchToSpaceNdWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::BatchToSpaceNd, armnn::CpuRef, armnn::GetTensorInfo(), BatchToSpaceNdDescriptor::m_BlockShape, BatchToSpaceNdDescriptor::m_Crops, BaseWorkload< BatchToSpaceNdQueueDescriptor >::m_Data, BatchToSpaceNdDescriptor::m_DataLayout, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, and QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters.

15 {
16  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchToSpaceNdWorkload_Execute");
17 
18  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
19  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
20 
21  std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
22  std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
23 
25  m_Data.m_Parameters.m_Crops, *inputDecoder, *outputEncoder);
26 }
CPU Execution: Reference C++ kernels.
const BatchToSpaceNdQueueDescriptor m_Data
Definition: Workload.hpp:46
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:173
std::vector< unsigned int > m_BlockShape
Block shape values.
std::vector< ITensorHandle * > m_Outputs
std::vector< std::pair< unsigned int, unsigned int > > m_Crops
The values to crop from the input dimension.
std::vector< ITensorHandle * > m_Inputs
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers

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