ArmNN
 25.11
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DetectionPostProcessQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for DetectionPostProcessQueueDescriptor:
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Collaboration diagram for DetectionPostProcessQueueDescriptor:
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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 ConstTensorHandle * m_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 & operator= (QueueDescriptorWithParameters const &)=default
Protected Member Functions inherited from QueueDescriptor
 QueueDescriptor ()
 QueueDescriptor (QueueDescriptor const &)=default
QueueDescriptor & operator= (QueueDescriptor const &)=default

Detailed Description

Definition at line 239 of file WorkloadData.hpp.

Constructor & Destructor Documentation

◆ DetectionPostProcessQueueDescriptor()

DetectionPostProcessQueueDescriptor ( )
inline

Definition at line 241 of file WorkloadData.hpp.

242 : m_Anchors(nullptr)
243 {
244 }

References m_Anchors.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo & workloadInfo) const

Definition at line 2841 of file WorkloadData.cpp.

2842{
2843 const std::string& descriptorName{"DetectionPostProcessQueueDescriptor"};
2844
2845 ValidateNumInputs(workloadInfo, descriptorName, 2);
2846
2847 if (workloadInfo.m_OutputTensorInfos.size() != 4)
2848 {
2849 throw InvalidArgumentException(descriptorName + ": Requires exactly four outputs. " +
2850 to_string(workloadInfo.m_OutputTensorInfos.size()) + " has been provided.");
2851 }
2852
2853 if (m_Anchors == nullptr)
2854 {
2855 throw InvalidArgumentException(descriptorName + ": Anchors tensor descriptor is missing.");
2856 }
2857
2858 const TensorInfo& boxEncodingsInfo = workloadInfo.m_InputTensorInfos[0];
2859 const TensorInfo& scoresInfo = workloadInfo.m_InputTensorInfos[1];
2860 const TensorInfo& anchorsInfo = m_Anchors->GetTensorInfo();
2861
2862 const TensorInfo& detectionBoxesInfo = workloadInfo.m_OutputTensorInfos[0];
2863 const TensorInfo& detectionClassesInfo = workloadInfo.m_OutputTensorInfos[1];
2864 const TensorInfo& detectionScoresInfo = workloadInfo.m_OutputTensorInfos[2];
2865 const TensorInfo& numDetectionsInfo = workloadInfo.m_OutputTensorInfos[3];
2866
2867 ValidateTensorNumDimensions(boxEncodingsInfo, descriptorName, 3, "box encodings");
2868 ValidateTensorNumDimensions(scoresInfo, descriptorName, 3, "scores");
2869 ValidateTensorNumDimensions(anchorsInfo, descriptorName, 2, "anchors");
2870
2871 const std::vector<DataType> supportedInputTypes =
2872 {
2873 DataType::BFloat16,
2874 DataType::Float32,
2875 DataType::Float16,
2876 DataType::QAsymmS8,
2877 DataType::QAsymmU8,
2878 DataType::QSymmS16
2879 };
2880
2881 ValidateDataTypes(boxEncodingsInfo, supportedInputTypes, descriptorName);
2882 ValidateDataTypes(scoresInfo, supportedInputTypes, descriptorName);
2883 ValidateDataTypes(anchorsInfo, supportedInputTypes, descriptorName);
2884
2885 ValidateTensorNumDimensions(detectionBoxesInfo, descriptorName, 3, "detection boxes");
2886 ValidateTensorNumDimensions(detectionScoresInfo, descriptorName, 2, "detection scores");
2887 ValidateTensorNumDimensions(detectionClassesInfo, descriptorName, 2, "detection classes");
2888 ValidateTensorNumDimensions(numDetectionsInfo, descriptorName, 1, "num detections");
2889
2890 // NOTE: Output is always Float32 regardless of input type
2891 ValidateTensorDataType(detectionBoxesInfo, DataType::Float32, descriptorName, "detection boxes");
2892 ValidateTensorDataType(detectionScoresInfo, DataType::Float32, descriptorName, "detection scores");
2893 ValidateTensorDataType(detectionClassesInfo, DataType::Float32, descriptorName, "detection classes");
2894 ValidateTensorDataType(numDetectionsInfo, DataType::Float32, descriptorName, "num detections");
2895
2896 if (m_Parameters.m_NmsIouThreshold <= 0.0f || m_Parameters.m_NmsIouThreshold > 1.0f)
2897 {
2898 throw InvalidArgumentException(descriptorName + ": Intersection over union threshold "
2899 "must be positive and less than or equal to 1.");
2900 }
2901
2902 if (scoresInfo.GetShape()[2] != m_Parameters.m_NumClasses + 1)
2903 {
2904 throw InvalidArgumentException(descriptorName + ": Number of classes with background "
2905 "should be equal to number of classes + 1.");
2906 }
2907}
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition Tensor.hpp:193
armnn::DetectionPostProcessDescriptor::m_NumClasses
uint32_t m_NumClasses
Number of classes.
Definition Descriptors.hpp:755
armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold
float m_NmsIouThreshold
Intersection over union threshold.
Definition Descriptors.hpp:753
armnn::DetectionPostProcessQueueDescriptor::m_Anchors
const ConstTensorHandle * m_Anchors
Definition WorkloadData.hpp:246
armnn::QueueDescriptor::ValidateTensorNumDimensions
void ValidateTensorNumDimensions(const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const
Definition WorkloadData.cpp:398
armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition WorkloadInfo.hpp:19
armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition WorkloadInfo.hpp:18

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

Member Data Documentation

◆ m_Anchors

const ConstTensorHandle* m_Anchors

Definition at line 246 of file WorkloadData.hpp.

Referenced by DetectionPostProcessLayer::CreateWorkload(), DetectionPostProcessQueueDescriptor(), NeonDetectionPostProcessWorkload::NeonDetectionPostProcessWorkload(), and Validate().

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