ArmNN
 20.11
Public Member Functions | List of all members
RefResizeBilinearWorkload Class Reference

#include <RefResizeBilinearWorkload.hpp>

Inheritance diagram for RefResizeBilinearWorkload:
BaseWorkload< ResizeBilinearQueueDescriptor > IWorkload

Public Member Functions

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

Detailed Description

Definition at line 14 of file RefResizeBilinearWorkload.hpp.

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 20 of file RefResizeBilinearWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::Bilinear, armnn::CpuRef, armnn::GetTensorInfo(), BaseWorkload< ResizeBilinearQueueDescriptor >::m_Data, ResizeBilinearDescriptor::m_DataLayout, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and armnn::Resize.

21 {
22  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefResizeBilinearWorkload_Execute");
23 
24  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
25  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
26 
27  std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
28  Decoder<float> &decoder = *decoderPtr;
29  std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
30  Encoder<float> &encoder = *encoderPtr;
31 
32  Resize(decoder, inputInfo, encoder, outputInfo, m_Data.m_Parameters.m_DataLayout, armnn::ResizeMethod::Bilinear);
33 }
armnn::Compute::CpuRef
CPU Execution: Reference C++ kernels.
armnn::ResizeBilinearDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:772
armnn::BaseWorkload< ResizeBilinearQueueDescriptor >::m_Data
const ResizeBilinearQueueDescriptor m_Data
Definition: Workload.hpp:46
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:175
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:31
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:30
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:26
The documentation for this class was generated from the following files: