#include <WorkloadData.hpp>

Inheritance diagram for BatchNormalizationQueueDescriptor:

Collaboration diagram for BatchNormalizationQueueDescriptor:

Public Member Functions
	BatchNormalizationQueueDescriptor ()
void	Validate (const WorkloadInfo &workloadInfo) const
Public Member Functions inherited from QueueDescriptorWithParameters< BatchNormalizationDescriptor >
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_Mean
const ConstTensorHandle *	m_Variance
const ConstTensorHandle *	m_Beta
const ConstTensorHandle *	m_Gamma
Public Attributes inherited from QueueDescriptorWithParameters< BatchNormalizationDescriptor >
BatchNormalizationDescriptor	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< BatchNormalizationDescriptor >
	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 311 of file WorkloadData.hpp.

Constructor & Destructor Documentation

◆ BatchNormalizationQueueDescriptor()

BatchNormalizationQueueDescriptor ( )

inline

Definition at line 313 of file WorkloadData.hpp.

        : m_Mean(nullptr)
        , m_Variance(nullptr)
        , m_Beta(nullptr)
        , m_Gamma(nullptr)
    {
    }

References m_Beta, m_Gamma, m_Mean, and m_Variance.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo & workloadInfo ) const

Definition at line 1207 of file WorkloadData.cpp.

{
    const std::string descriptorName{"BatchNormalizationQueueDescriptor"};
 
    ValidateNumInputs(workloadInfo,  descriptorName, 1);
    ValidateNumOutputs(workloadInfo, descriptorName, 1);
 
    const TensorInfo& inputTensorInfo  = workloadInfo.m_InputTensorInfos[0];
    const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
 
    std::vector<DataType> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };
 
    ValidateDataTypes(inputTensorInfo,  supportedTypes, descriptorName);
    ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);
 
    ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
    ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
 
    ValidatePointer(m_Mean,     descriptorName, "mean");
    ValidatePointer(m_Variance, descriptorName, "variance");
    ValidatePointer(m_Beta,     descriptorName, "beta");
    ValidatePointer(m_Gamma,    descriptorName, "gamma");
 
    const TensorInfo& mean     = m_Mean->GetTensorInfo();
    const TensorInfo& variance = m_Variance->GetTensorInfo();
    const TensorInfo& beta     = m_Beta->GetTensorInfo();
    const TensorInfo& gamma    = m_Gamma->GetTensorInfo();
 
    ValidateTensorNumDimensions(mean,     descriptorName, 1, "mean");
    ValidateTensorNumDimensions(variance, descriptorName, 1, "variance");
    ValidateTensorNumDimensions(beta,     descriptorName, 1, "beta");
    ValidateTensorNumDimensions(gamma,    descriptorName, 1, "gamma");
 
    ValidateTensorShapesMatch(mean, variance, descriptorName, "mean", "variance");
    ValidateTensorShapesMatch(mean, beta,     descriptorName, "mean", "beta");
    ValidateTensorShapesMatch(mean, gamma,    descriptorName, "mean", "gamma");
}