ArmNN
 23.05
DetectionPostProcessQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for DetectionPostProcessQueueDescriptor:
QueueDescriptorWithParameters< DetectionPostProcessDescriptor > QueueDescriptor

Public Member Functions

 DetectionPostProcessQueueDescriptor ()
 
void Validate (const WorkloadInfo &workloadInfo) const
 
- Public Member Functions inherited from QueueDescriptorWithParameters< DetectionPostProcessDescriptor >
virtual ~QueueDescriptorWithParameters ()=default
 
- Public Member Functions inherited from QueueDescriptor
virtual ~QueueDescriptor ()=default
 
void ValidateTensorNumDimensions (const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const
 
void ValidateTensorNumDimNumElem (const TensorInfo &tensorInfo, unsigned int numDimension, unsigned int numElements, std::string const &tensorName) const
 
void ValidateInputsOutputs (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
 
template<typename T >
const T * GetAdditionalInformation () const
 

Public Attributes

const ConstTensorHandlem_Anchors
 
- Public Attributes inherited from QueueDescriptorWithParameters< DetectionPostProcessDescriptor >
DetectionPostProcessDescriptor m_Parameters
 
- Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 
void * m_AdditionalInfoObject
 
bool m_AllowExpandedDims = false
 

Additional Inherited Members

- Protected Member Functions inherited from QueueDescriptorWithParameters< DetectionPostProcessDescriptor >
 QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=default
 
QueueDescriptorWithParametersoperator= (QueueDescriptorWithParameters const &)=default
 
- Protected Member Functions inherited from QueueDescriptor
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 234 of file WorkloadData.hpp.

Constructor & Destructor Documentation

◆ DetectionPostProcessQueueDescriptor()

Definition at line 236 of file WorkloadData.hpp.

237  : m_Anchors(nullptr)
238  {
239  }

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 2732 of file WorkloadData.cpp.

2733 {
2734  const std::string& descriptorName{"DetectionPostProcessQueueDescriptor"};
2735 
2736  ValidateNumInputs(workloadInfo, descriptorName, 2);
2737 
2738  if (workloadInfo.m_OutputTensorInfos.size() != 4)
2739  {
2740  throw InvalidArgumentException(descriptorName + ": Requires exactly four outputs. " +
2741  to_string(workloadInfo.m_OutputTensorInfos.size()) + " has been provided.");
2742  }
2743 
2744  if (m_Anchors == nullptr)
2745  {
2746  throw InvalidArgumentException(descriptorName + ": Anchors tensor descriptor is missing.");
2747  }
2748 
2749  const TensorInfo& boxEncodingsInfo = workloadInfo.m_InputTensorInfos[0];
2750  const TensorInfo& scoresInfo = workloadInfo.m_InputTensorInfos[1];
2751  const TensorInfo& anchorsInfo = m_Anchors->GetTensorInfo();
2752 
2753  const TensorInfo& detectionBoxesInfo = workloadInfo.m_OutputTensorInfos[0];
2754  const TensorInfo& detectionClassesInfo = workloadInfo.m_OutputTensorInfos[1];
2755  const TensorInfo& detectionScoresInfo = workloadInfo.m_OutputTensorInfos[2];
2756  const TensorInfo& numDetectionsInfo = workloadInfo.m_OutputTensorInfos[3];
2757 
2758  ValidateTensorNumDimensions(boxEncodingsInfo, descriptorName, 3, "box encodings");
2759  ValidateTensorNumDimensions(scoresInfo, descriptorName, 3, "scores");
2760  ValidateTensorNumDimensions(anchorsInfo, descriptorName, 2, "anchors");
2761 
2762  const std::vector<DataType> supportedInputTypes =
2763  {
2770  };
2771 
2772  ValidateDataTypes(boxEncodingsInfo, supportedInputTypes, descriptorName);
2773  ValidateDataTypes(scoresInfo, supportedInputTypes, descriptorName);
2774  ValidateDataTypes(anchorsInfo, supportedInputTypes, descriptorName);
2775 
2776  ValidateTensorNumDimensions(detectionBoxesInfo, descriptorName, 3, "detection boxes");
2777  ValidateTensorNumDimensions(detectionScoresInfo, descriptorName, 2, "detection scores");
2778  ValidateTensorNumDimensions(detectionClassesInfo, descriptorName, 2, "detection classes");
2779  ValidateTensorNumDimensions(numDetectionsInfo, descriptorName, 1, "num detections");
2780 
2781  // NOTE: Output is always Float32 regardless of input type
2782  ValidateTensorDataType(detectionBoxesInfo, DataType::Float32, descriptorName, "detection boxes");
2783  ValidateTensorDataType(detectionScoresInfo, DataType::Float32, descriptorName, "detection scores");
2784  ValidateTensorDataType(detectionClassesInfo, DataType::Float32, descriptorName, "detection classes");
2785  ValidateTensorDataType(numDetectionsInfo, DataType::Float32, descriptorName, "num detections");
2786 
2788  {
2789  throw InvalidArgumentException(descriptorName + ": Intersection over union threshold "
2790  "must be positive and less than or equal to 1.");
2791  }
2792 
2793  if (scoresInfo.GetShape()[2] != m_Parameters.m_NumClasses + 1)
2794  {
2795  throw InvalidArgumentException(descriptorName + ": Number of classes with background "
2796  "should be equal to number of classes + 1.");
2797  }
2798 }

References armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetShape(), ConstTensorHandle::GetTensorInfo(), DetectionPostProcessQueueDescriptor::m_Anchors, WorkloadInfo::m_InputTensorInfos, DetectionPostProcessDescriptor::m_NmsIouThreshold, DetectionPostProcessDescriptor::m_NumClasses, WorkloadInfo::m_OutputTensorInfos, QueueDescriptorWithParameters< DetectionPostProcessDescriptor >::m_Parameters, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and QueueDescriptor::ValidateTensorNumDimensions().

Member Data Documentation

◆ m_Anchors


The documentation for this struct was generated from the following files:
armnn::DataType::QAsymmU8
@ QAsymmU8
armnn::DataType::Float16
@ Float16
armnn::DetectionPostProcessQueueDescriptor::m_Anchors
const ConstTensorHandle * m_Anchors
Definition: WorkloadData.hpp:241
armnn::DataType::QAsymmS8
@ QAsymmS8
armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
armnn::QueueDescriptor::ValidateTensorNumDimensions
void ValidateTensorNumDimensions(const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const
Definition: WorkloadData.cpp:423
armnn::DataType::Float32
@ Float32
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::ConstTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: TensorHandle.hpp:40
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
armnn::DetectionPostProcessDescriptor::m_NumClasses
uint32_t m_NumClasses
Number of classes.
Definition: Descriptors.hpp:743
armnn::QueueDescriptorWithParameters< DetectionPostProcessDescriptor >::m_Parameters
DetectionPostProcessDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::DataType::BFloat16
@ BFloat16
armnn::DataType::QSymmS16
@ QSymmS16
armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold
float m_NmsIouThreshold
Intersection over union threshold.
Definition: Descriptors.hpp:741
armnn::InvalidArgumentException
Definition: Exceptions.hpp:80
armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18