#include <WorkloadData.hpp>

Inheritance diagram for BatchNormalizationQueueDescriptor:

Public Member Functions
	BatchNormalizationQueueDescriptor ()

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_Mean

const ConstCpuTensorHandle *	m_Variance

const ConstCpuTensorHandle *	m_Beta

const ConstCpuTensorHandle *	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

Additional Inherited Members
Protected Member Functions inherited from QueueDescriptorWithParameters< BatchNormalizationDescriptor >
	~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 269 of file WorkloadData.hpp.

Constructor & Destructor Documentation

◆ BatchNormalizationQueueDescriptor()

BatchNormalizationQueueDescriptor ( )

inline

Definition at line 271 of file WorkloadData.hpp.

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

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo & workloadInfo ) const

Definition at line 1114 of file WorkloadData.cpp.

References armnn::BFloat16, armnn::Float16, armnn::Float32, WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmU8, and armnn::QSymmS16.

 {
     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::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");
 }