ArmNN
 21.11
L2NormalizationQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for L2NormalizationQueueDescriptor:
QueueDescriptorWithParameters< L2NormalizationDescriptor > QueueDescriptor

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
 
template<typename T >
const T * GetAdditionalInformation () const
 

Additional Inherited Members

- Public Attributes inherited from QueueDescriptorWithParameters< L2NormalizationDescriptor >
L2NormalizationDescriptor m_Parameters
 
- Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 
void * m_AdditionalInfoObject
 
- Protected Member Functions inherited from QueueDescriptorWithParameters< L2NormalizationDescriptor >
 ~QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=default
 
QueueDescriptorWithParametersoperator= (QueueDescriptorWithParameters const &)=default
 
- Protected Member Functions inherited from QueueDescriptor
 ~QueueDescriptor ()=default
 
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 373 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 1678 of file WorkloadData.cpp.

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

1679 {
1680  const std::string descriptorName{"L2NormalizationQueueDescriptor"};
1681 
1682  ValidateNumInputs(workloadInfo, descriptorName, 1);
1683  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1684 
1685  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1686  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1687 
1688  if (inputTensorInfo.GetNumDimensions() > 4)
1689  {
1690  throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
1691  }
1692 
1693  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1694 
1695  // Check the supported data types
1696  std::vector<DataType> supportedTypes =
1697  {
1704  };
1705 
1706  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1707  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1708 }
std::vector< TensorInfo > m_InputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:195

The documentation for this struct was generated from the following files: