SliceQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for SliceQueueDescriptor:

Public Member Functions
void	Validate (const WorkloadInfo &workloadInfo) const
Public Member Functions inherited from QueueDescriptorWithParameters< SliceDescriptor >
virtual	~QueueDescriptorWithParameters ()=default
Public Member Functions inherited from QueueDescriptor
virtual	~QueueDescriptor ()=default
void	ValidateInputsOutputs (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
template<typename T >
const T *	GetAdditionalInformation () const

Additional Inherited Members
Public Attributes inherited from QueueDescriptorWithParameters< SliceDescriptor >
SliceDescriptor	m_Parameters
Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * >	m_Inputs
std::vector< ITensorHandle * >	m_Outputs
void *	m_AdditionalInfoObject
Protected Member Functions inherited from QueueDescriptorWithParameters< SliceDescriptor >
	QueueDescriptorWithParameters ()=default
	QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=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 679 of file WorkloadData.hpp.

Member Function Documentation

Validate()

void Validate

(

const WorkloadInfo &

workloadInfo

)

const

Definition at line 3555 of file WorkloadData.cpp.

References TensorInfo::GetNumDimensions(), TensorInfo::GetShape(), WorkloadInfo::m_InputTensorInfos, and WorkloadInfo::m_OutputTensorInfos.

{
    const std::string descriptorName{"SliceQueueDescriptor"};

    ValidateNumInputs(workloadInfo,  descriptorName, 1);
    ValidateNumOutputs(workloadInfo, descriptorName, 1);

    const TensorInfo& inputTensorInfo  = workloadInfo.m_InputTensorInfos[0];
    const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];

    ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");

    const unsigned int rank = inputTensorInfo.GetNumDimensions();
    if (rank > 4)
    {
        throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
    }

    ValidateTensorNumDimensions(outputTensorInfo, descriptorName, rank, "output");

    // Check if m_Begin and m_Size have the expected length
    if (m_Parameters.m_Begin.size() != rank)
    {
        throw InvalidArgumentException(descriptorName +
            ": Length of begin offset descriptor must equal rank " + std::to_string(rank));
    }
    if (m_Parameters.m_Size.size() != rank)
    {
        throw InvalidArgumentException(descriptorName +
            ": Length of size descriptor must equal rank " + std::to_string(rank));
    }

    // Check if the shape of the output tensor matches m_Size
    const TensorShape& outputShape = outputTensorInfo.GetShape();
    for (unsigned int i = 0u; i < rank; ++i)
    {
        if (m_Parameters.m_Size[i] != outputShape[i])
        {
            throw InvalidArgumentException(descriptorName + ": Size descriptor does not match output tensor.");
        }
    }

    // Check if the sum of begin offset and size in a given dimension
    // does not exceed the size of corresponding input
    const TensorShape& inputShape  = inputTensorInfo.GetShape();
    for(unsigned int i = 0u; i < rank; ++i)
    {
        if (m_Parameters.m_Begin[i] + m_Parameters.m_Size[i] > inputShape[i])
        {
            throw InvalidArgumentException(descriptorName + ": Sum of begin offset and size for dimension " +
                std::to_string(i) + " exceeds input size.");
        }
    }
}

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

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