ArmNN
 20.05
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 1522 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.

1523 {
1524  const std::string descriptorName{"L2NormalizationQueueDescriptor"};
1525 
1526  ValidateNumInputs(workloadInfo, descriptorName, 1);
1527  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1528 
1529  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1530  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1531 
1532  if (inputTensorInfo.GetNumDimensions() > 4)
1533  {
1534  throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
1535  }
1536 
1537  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1538 
1539  // Check the supported data types
1540  std::vector<DataType> supportedTypes =
1541  {
1548  };
1549 
1550  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1551  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1552 }
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: