ArmNN
 21.02
Public Member Functions | List of all members
RefConvolution2dWorkload Class Reference

#include <RefConvolution2dWorkload.hpp>

Inheritance diagram for RefConvolution2dWorkload:
BaseWorkload< Convolution2dQueueDescriptor > IWorkload

Public Member Functions

 RefConvolution2dWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
virtual void Execute () const override
 
- Public Member Functions inherited from BaseWorkload< Convolution2dQueueDescriptor >
 BaseWorkload (const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)
 
void PostAllocationConfigure () override
 
const Convolution2dQueueDescriptor & 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< Convolution2dQueueDescriptor >
const Convolution2dQueueDescriptor m_Data
 
const profiling::ProfilingGuid m_Guid
 

Detailed Description

Definition at line 16 of file RefConvolution2dWorkload.hpp.

Constructor & Destructor Documentation

◆ RefConvolution2dWorkload()

RefConvolution2dWorkload ( const Convolution2dQueueDescriptor &  descriptor,
const WorkloadInfo &  info 
)
explicit

Definition at line 15 of file RefConvolution2dWorkload.cpp.

References TensorInfo::GetShape(), Convolution2dQueueDescriptor::m_Bias, Convolution2dDescriptor::m_BiasEnabled, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and Convolution2dQueueDescriptor::m_Weight.

17  : BaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)
18 {
19  m_Weight = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));
20  const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo();
21 
22  m_FilterShape = rFilterInfo.GetShape();
23  m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight.get()->Map(true));
24 
25  if (descriptor.m_Parameters.m_BiasEnabled)
26  {
27  m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
28  const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
29  m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
30  }
31 }

Member Function Documentation

◆ Execute()

void Execute ( ) const
overridevirtual

Implements IWorkload.

Definition at line 44 of file RefConvolution2dWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::Convolve(), armnn::CpuRef, Convolution2dDescriptor::m_BiasEnabled, BaseWorkload< Convolution2dQueueDescriptor >::m_Data, Convolution2dDescriptor::m_DataLayout, Convolution2dDescriptor::m_DilationX, Convolution2dDescriptor::m_DilationY, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, Convolution2dDescriptor::m_PadLeft, Convolution2dDescriptor::m_PadTop, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, Convolution2dDescriptor::m_StrideX, and Convolution2dDescriptor::m_StrideY.

44  {
45  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dWorkload_Execute");
46 
47  m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
48  m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
49 
50  Convolve(m_InputShape, *m_InputDecoder, m_OutputShape, *m_OutputEncoder, m_FilterShape,
51  *m_FilterDecoder, m_Data.m_Parameters.m_BiasEnabled, m_BiasDecoder.get(),
52  m_Data.m_Parameters.m_DataLayout, m_Data.m_Parameters.m_PadTop, m_Data.m_Parameters.m_PadLeft,
53  m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY,
54  m_Data.m_Parameters.m_DilationX, m_Data.m_Parameters.m_DilationY);
55 }
armnn::Convolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:454
armnn::Convolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:456
armnn::Compute::CpuRef
CPU Execution: Reference C++ kernels.
armnn::BaseWorkload< Convolution2dQueueDescriptor >::m_Data
const Convolution2dQueueDescriptor m_Data
Definition: Workload.hpp:46
armnn::Convolution2dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation along y axis.
Definition: Descriptors.hpp:452
ARMNN_SCOPED_PROFILING_EVENT
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:173
armnn::Convolution2dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:442
armnn::Convolution2dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:446
armnn::Convolve
void Convolve(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rFilterShape, Decoder< float > &rFilterDecoder, bool biasEnabled, Decoder< float > *pBiasDecoder, DataLayout dataLayout, unsigned int paddingTop, unsigned int paddingLeft, unsigned int xStride, unsigned int yStride, unsigned int xDilation, unsigned int yDilation, bool depthwise)
Definition: ConvImpl.cpp:71
armnn::Convolution2dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:448
armnn::Convolution2dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation along x axis.
Definition: Descriptors.hpp:450
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::Convolution2dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:438

◆ PostAllocationConfigure()

void PostAllocationConfigure ( )
overridevirtual

Implements IWorkload.

Definition at line 33 of file RefConvolution2dWorkload.cpp.

References TensorInfo::GetShape(), armnn::GetTensorInfo(), BaseWorkload< Convolution2dQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, and QueueDescriptor::m_Outputs.

34 {
35  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
36  m_InputShape = inputInfo.GetShape();
37  m_InputDecoder = MakeDecoder<float>(inputInfo);
38 
39  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
40  m_OutputShape = outputInfo.GetShape();
41  m_OutputEncoder = MakeEncoder<float>(outputInfo);
42 }
armnn::BaseWorkload< Convolution2dQueueDescriptor >::m_Data
const Convolution2dQueueDescriptor m_Data
Definition: Workload.hpp:46
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: