DetectionPostProcessQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for DetectionPostProcessQueueDescriptor:

Public Member Functions
	DetectionPostProcessQueueDescriptor ()
void	Validate (const WorkloadInfo &workloadInfo) const
Public Member Functions inherited from QueueDescriptor
void	ValidateInputsOutputs (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const

Public Attributes
const ConstCpuTensorHandle *	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

Additional Inherited Members
Protected Member Functions inherited from QueueDescriptorWithParameters< DetectionPostProcessDescriptor >
	~QueueDescriptorWithParameters ()=default
	QueueDescriptorWithParameters ()=default
	QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=default
QueueDescriptorWithParameters &	operator= (QueueDescriptorWithParameters const &)=default
Protected Member Functions inherited from QueueDescriptor
	~QueueDescriptor ()=default
	QueueDescriptor ()=default
	QueueDescriptor (QueueDescriptor const &)=default
QueueDescriptor &	operator= (QueueDescriptor const &)=default

Detailed Description

Definition at line 197 of file WorkloadData.hpp.

Constructor & Destructor Documentation

DetectionPostProcessQueueDescriptor()

DetectionPostProcessQueueDescriptor ( )

inline

Definition at line 199 of file WorkloadData.hpp.

        : m_Anchors(nullptr)
    {
    }

Member Function Documentation

Validate()

void Validate

(

const WorkloadInfo &

workloadInfo

)

const

Definition at line 2483 of file WorkloadData.cpp.

References anchorsInfo, armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetShape(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmU8, armnn::QSymmS16, and scoresInfo.

{
    const std::string& descriptorName{"DetectionPostProcessQueueDescriptor"};

    ValidateNumInputs(workloadInfo, descriptorName, 2);

    if (workloadInfo.m_OutputTensorInfos.size() != 4)
    {
        throw InvalidArgumentException(descriptorName + ": Requires exactly four outputs. " +
                                       to_string(workloadInfo.m_OutputTensorInfos.size()) + " has been provided.");
    }

    if (m_Anchors == nullptr)
    {
        throw InvalidArgumentException(descriptorName + ": Anchors tensor descriptor is missing.");
    }

    const TensorInfo& boxEncodingsInfo =  workloadInfo.m_InputTensorInfos[0];
    const TensorInfo& scoresInfo       =  workloadInfo.m_InputTensorInfos[1];
    const TensorInfo& anchorsInfo      = m_Anchors->GetTensorInfo();

    const TensorInfo& detectionBoxesInfo   = workloadInfo.m_OutputTensorInfos[0];
    const TensorInfo& detectionClassesInfo = workloadInfo.m_OutputTensorInfos[1];
    const TensorInfo& detectionScoresInfo  = workloadInfo.m_OutputTensorInfos[2];
    const TensorInfo& numDetectionsInfo    = workloadInfo.m_OutputTensorInfos[3];

    ValidateTensorNumDimensions(boxEncodingsInfo, descriptorName, 3, "box encodings");
    ValidateTensorNumDimensions(scoresInfo, descriptorName, 3, "scores");
    ValidateTensorNumDimensions(anchorsInfo, descriptorName, 2, "anchors");

    const std::vector<DataType> supportedInputTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    ValidateDataTypes(boxEncodingsInfo, supportedInputTypes, descriptorName);
    ValidateDataTypes(scoresInfo, supportedInputTypes, descriptorName);
    ValidateDataTypes(anchorsInfo, supportedInputTypes, descriptorName);

    ValidateTensorNumDimensions(detectionBoxesInfo, descriptorName, 3, "detection boxes");
    ValidateTensorNumDimensions(detectionScoresInfo, descriptorName, 2, "detection scores");
    ValidateTensorNumDimensions(detectionClassesInfo, descriptorName, 2, "detection classes");
    ValidateTensorNumDimensions(numDetectionsInfo, descriptorName, 1, "num detections");

    // NOTE: Output is always Float32 regardless of input type
    ValidateTensorDataType(detectionBoxesInfo, DataType::Float32, descriptorName, "detection boxes");
    ValidateTensorDataType(detectionScoresInfo, DataType::Float32, descriptorName, "detection scores");
    ValidateTensorDataType(detectionClassesInfo, DataType::Float32, descriptorName, "detection classes");
    ValidateTensorDataType(numDetectionsInfo, DataType::Float32, descriptorName, "num detections");

    if (m_Parameters.m_NmsIouThreshold <= 0.0f || m_Parameters.m_NmsIouThreshold > 1.0f)
    {
        throw InvalidArgumentException(descriptorName + ": Intersection over union threshold "
                                       "must be positive and less than or equal to 1.");
    }

    if (scoresInfo.GetShape()[2] != m_Parameters.m_NumClasses + 1)
    {
        throw InvalidArgumentException(descriptorName + ": Number of classes with background "
                                       "should be equal to number of classes + 1.");
    }
}

Member Data Documentation

m_Anchors

const ConstCpuTensorHandle* m_Anchors

Definition at line 204 of file WorkloadData.hpp.

Referenced by DetectionPostProcessLayer::CreateWorkload(), and DetectionPostProcessImpl().

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

• src/backends/backendsCommon/WorkloadData.hpp
• src/backends/backendsCommon/WorkloadData.cpp