ReverseV2QueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for ReverseV2QueueDescriptor:

Collaboration diagram for ReverseV2QueueDescriptor:

Public Member Functions
void	Validate (const WorkloadInfo &workloadInfo) const
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

Additional Inherited Members
Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * >	m_Inputs
std::vector< ITensorHandle * >	m_Outputs
void *	m_AdditionalInfoObject
bool	m_AllowExpandedDims = false
Protected Member Functions inherited from QueueDescriptor
	QueueDescriptor ()
	QueueDescriptor (QueueDescriptor const &)=default
QueueDescriptor &	operator= (QueueDescriptor const &)=default

Detailed Description

Definition at line 758 of file WorkloadData.hpp.

Member Function Documentation

Validate()

void Validate

(

const WorkloadInfo &

workloadInfo

)

const

Definition at line 1627 of file WorkloadData.cpp.

{
    const std::string descriptorName{"ReverseV2QueueDescriptor"};
 
    // Backend restriction
    const unsigned int maxDimensions = 4;
 
    ValidateNumInputs(workloadInfo,  descriptorName, 2);
    ValidateNumOutputs(workloadInfo, descriptorName, 1);
 
    const TensorInfo& inputTensorInfo  = workloadInfo.m_InputTensorInfos[0];
    const TensorInfo& axisTensorInfo  = workloadInfo.m_InputTensorInfos[1];
    const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
 
    const auto inputTensorNumDimensions = inputTensorInfo.GetNumDimensions();
    if (inputTensorNumDimensions > maxDimensions)
    {
        throw InvalidArgumentException(descriptorName +
            ": Input tensors with rank greater than " +
            std::to_string(maxDimensions) + " are not supported.");
    }
 
    const auto axisTensorNumDimensions = axisTensorInfo.GetNumDimensions();
    if (axisTensorNumDimensions > maxDimensions)
    {
        throw InvalidArgumentException(descriptorName +
            ": More than " + std::to_string(maxDimensions) + " axes cannot be specified.");
    }
 
    if (axisTensorNumDimensions > inputTensorNumDimensions)
    {
        throw InvalidArgumentException(descriptorName +
            ": More axes specified than the number of axes on the input tensor.");
    }
 
    std::vector<DataType> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16,
        DataType::Signed32,
        DataType::Signed64
    };
 
    ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
 
    std::vector<DataType> axisSupportedTypes =
    {
        DataType::Signed32,
    };
 
    ValidateDataTypes(axisTensorInfo, axisSupportedTypes, descriptorName);
 
    ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
    ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
}

References armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetNumDimensions(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Signed32, and armnn::Signed64.

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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