ArmNN
 20.05
RefTransposeConvolution2dWorkload Class Reference

#include <RefTransposeConvolution2dWorkload.hpp>

Inheritance diagram for RefTransposeConvolution2dWorkload:
BaseWorkload< TransposeConvolution2dQueueDescriptor > IWorkload

Public Member Functions

 RefTransposeConvolution2dWorkload (const TransposeConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
 ~RefTransposeConvolution2dWorkload ()=default
 
void PostAllocationConfigure () override
 
void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< TransposeConvolution2dQueueDescriptor >
 BaseWorkload (const TransposeConvolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const TransposeConvolution2dQueueDescriptorGetData () 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< TransposeConvolution2dQueueDescriptor >
const TransposeConvolution2dQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 

Detailed Description

Definition at line 17 of file RefTransposeConvolution2dWorkload.hpp.

Constructor & Destructor Documentation

◆ RefTransposeConvolution2dWorkload()

Definition at line 16 of file RefTransposeConvolution2dWorkload.cpp.

References TransposeConvolution2dQueueDescriptor::m_Bias, TransposeConvolution2dDescriptor::m_BiasEnabled, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and TransposeConvolution2dQueueDescriptor::m_Weight.

17  :
18  BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info)
19 {
20  // set up weights decoder
21  m_Weights = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));
22  const TensorInfo& weightsInfo = m_Weights->GetTensorInfo();
23 
24  m_WeightsDecoder = MakeDecoder<float>(weightsInfo, m_Weights->Map(true));
25  m_WeightsShape = weightsInfo.GetShape();
26 
27  // set up biases decoder
28  if (descriptor.m_Parameters.m_BiasEnabled)
29  {
30  m_Biases = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
31  const TensorInfo& biasesInfo = m_Biases->GetTensorInfo();
32  m_BiasesDecoder = MakeDecoder<float>(biasesInfo, m_Biases->Map(true));
33  }
34 }

◆ ~RefTransposeConvolution2dWorkload()

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 53 of file RefTransposeConvolution2dWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and armnn::TransposeConvolution2dImpl().

54 {
55  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefTransposeConvolution2dWorkload_Execute");
56 
57  m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
58  m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
59 
61  m_InputShape,
62  *m_InputDecoder,
63  m_OutputShape,
64  *m_OutputEncoder,
65  m_WeightsShape,
66  *m_WeightsDecoder,
67  m_BiasesDecoder.get());
68 }
CPU Execution: Reference C++ kernels.
const TransposeConvolution2dQueueDescriptor m_Data
Definition: Workload.hpp:46
void TransposeConvolution2dImpl(const TransposeConvolution2dDescriptor &descriptor, const TensorShape &inputShape, Decoder< float > &inputDecoder, const TensorShape &outputShape, Encoder< float > &outputEncoder, const TensorShape &weightsShape, Decoder< float > &weightsDecoder, Decoder< float > *biasesDecoder)
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:169
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs

◆ PostAllocationConfigure()

void PostAllocationConfigure ( )
overridevirtual

Implements IWorkload.

Definition at line 36 of file RefTransposeConvolution2dWorkload.cpp.

References TensorInfo::GetShape(), armnn::GetTensorInfo(), BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, and QueueDescriptor::m_Outputs.

37 {
38  // set up input decoder
39  const ITensorHandle* input = m_Data.m_Inputs[0];
40  const TensorInfo& inputInfo = GetTensorInfo(input);
41 
42  m_InputShape = inputInfo.GetShape();
43  m_InputDecoder = MakeDecoder<float>(inputInfo);
44 
45  // set up output encoder
46  ITensorHandle* output = m_Data.m_Outputs[0];
47  const TensorInfo& outputInfo = GetTensorInfo(output);
48 
49  m_OutputShape = outputInfo.GetShape();
50  m_OutputEncoder = MakeEncoder<float>(outputInfo);
51 }
const TransposeConvolution2dQueueDescriptor m_Data
Definition: Workload.hpp:46
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs

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