ArgMinMaxQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for ArgMinMaxQueueDescriptor:

Public Member Functions
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

Additional Inherited Members
Public Attributes inherited from QueueDescriptorWithParameters< ArgMinMaxDescriptor >
ArgMinMaxDescriptor	m_Parameters
Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * >	m_Inputs
std::vector< ITensorHandle * >	m_Outputs
Protected Member Functions inherited from QueueDescriptorWithParameters< ArgMinMaxDescriptor >
	~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 135 of file WorkloadData.hpp.

Member Function Documentation

Validate()

void Validate

(

const WorkloadInfo &

workloadInfo

)

const

Definition at line 616 of file WorkloadData.cpp.

References armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetDataType(), TensorShape::GetNumDimensions(), TensorInfo::GetShape(), armnnUtils::GetUnsignedAxis(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

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

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

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

    if (outputTensorInfo.GetDataType() != DataType::Signed32)
    {
        throw InvalidArgumentException(descriptorName + ": Output of ArgMinMax layer must be Int32.");
    }

    std::vector<DataType> supportedInputTypes =
    {
        DataType::BFloat16,
        DataType::Float16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    ValidateDataTypes(inputTensorInfo, supportedInputTypes, descriptorName);

    auto inputShape = inputTensorInfo.GetShape();
    auto outputShape = outputTensorInfo.GetShape();

    auto inputNumDimensions = inputShape.GetNumDimensions();
    auto unsignedAxis = armnnUtils::GetUnsignedAxis(inputNumDimensions, m_Parameters.m_Axis);

    const std::string outputShapeError{": Output tensor shape does not match shape inferred from input tensor."};

    // 1D input shape results in scalar output shape
    if (inputShape.GetNumDimensions() == 1)
    {
        if (outputShape.GetNumDimensions() != 1 && outputShape[0] != 1)
        {
            throw InvalidArgumentException(descriptorName + outputShapeError);
        }
    }
    else
    {
        for (unsigned int i = 0; i < unsignedAxis; ++i)
        {
            if (outputShape[i] != inputShape[i])
            {
                throw InvalidArgumentException(descriptorName + outputShapeError);
            }
        }

        for (auto i = unsignedAxis + 1; i < inputNumDimensions; ++i)
        {
            if (outputShape[i - 1] != inputShape[i])
            {
                throw InvalidArgumentException(descriptorName + outputShapeError);
            }
        }
    }
}

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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