ArmNN
 20.02
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
 

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
 
- 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 ()=default
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 316 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 1490 of file WorkloadData.cpp.

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

1491 {
1492  const std::string descriptorName{"L2NormalizationQueueDescriptor"};
1493 
1494  ValidateNumInputs(workloadInfo, descriptorName, 1);
1495  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1496 
1497  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1498  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1499 
1500  if (inputTensorInfo.GetNumDimensions() > 4)
1501  {
1502  throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
1503  }
1504 
1505  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1506 
1507  // Check the supported data types
1508  std::vector<DataType> supportedTypes =
1509  {
1515  };
1516 
1517  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1518  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1519 }
std::vector< TensorInfo > m_InputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:92

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