ArmNN
 24.02
InstanceNormalizationQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for InstanceNormalizationQueueDescriptor:
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Collaboration diagram for InstanceNormalizationQueueDescriptor:
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Public Member Functions

void Validate (const WorkloadInfo &workloadInfo) const
 
- Public Member Functions inherited from QueueDescriptorWithParameters< InstanceNormalizationDescriptor >
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
 

Additional Inherited Members

- Public Attributes inherited from QueueDescriptorWithParameters< InstanceNormalizationDescriptor >
InstanceNormalizationDescriptor m_Parameters
 
- 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 QueueDescriptorWithParameters< InstanceNormalizationDescriptor >
 QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=default
 
QueueDescriptorWithParametersoperator= (QueueDescriptorWithParameters const &)=default
 
- Protected Member Functions inherited from QueueDescriptor
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 353 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 1704 of file WorkloadData.cpp.

1705 {
1706  const std::string descriptorName{"InstanceNormalizationQueueDescriptor"};
1707 
1708  ValidateNumInputs(workloadInfo, descriptorName, 1);
1709  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1710 
1711  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1712  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1713 
1714  if (inputTensorInfo.GetNumDimensions() > 4)
1715  {
1716  throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
1717  }
1718 
1719  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1720 
1721  // Check the supported data types
1722  std::vector<DataType> supportedTypes =
1723  {
1727  };
1728 
1729  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1730  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1731 }

References armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetNumDimensions(), WorkloadInfo::m_InputTensorInfos, and WorkloadInfo::m_OutputTensorInfos.


The documentation for this struct was generated from the following files:
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::TensorInfo::GetNumDimensions
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:197
armnn::DataType::Float32
@ Float32
armnn::DataType::BFloat16
@ BFloat16
armnn::DataType::Float16
@ Float16
armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
armnn::InvalidArgumentException
Definition: Exceptions.hpp:80
armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18