ArmNN
 23.02
GatherNdQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for GatherNdQueueDescriptor:
QueueDescriptor

Public Member Functions

void Validate (const WorkloadInfo &workloadInfo) const
 
- 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 QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 
void * m_AdditionalInfoObject
 
bool m_AllowExpandedDims = false
 
- Protected Member Functions inherited from QueueDescriptor
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 497 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 2665 of file WorkloadData.cpp.

2666 {
2667  const std::string descriptorName{"GatherNdQueueDescriptor"};
2668 
2669  ValidateNumInputs(workloadInfo, descriptorName, 2);
2670  ValidateNumOutputs(workloadInfo, descriptorName, 1);
2671 
2672  const TensorInfo& indicesTensorInfo = workloadInfo.m_InputTensorInfos[1];
2673  if (indicesTensorInfo.GetDataType() != DataType::Signed32)
2674  {
2675  throw InvalidArgumentException(descriptorName + ": Indices tensor type must be Int32.");
2676  }
2677 
2678  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
2679  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
2680 
2681  std::vector<DataType> supportedTypes =
2682  {
2690  };
2691 
2692  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
2693 
2694  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2695 
2696  unsigned int outputDim = outputTensorInfo.GetNumDimensions();
2697  ValidateTensorNumDimensions(outputTensorInfo, descriptorName, outputDim, "output");
2698 }

References armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetDataType(), TensorInfo::GetNumDimensions(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::Signed32, and QueueDescriptor::ValidateTensorNumDimensions().


The documentation for this struct was generated from the following files:
armnn::DataType::QAsymmU8
@ QAsymmU8
armnn::DataType::Float16
@ Float16
armnn::DataType::Signed32
@ Signed32
armnn::DataType::QAsymmS8
@ QAsymmS8
armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
armnn::TensorInfo::GetNumDimensions
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:195
armnn::QueueDescriptor::ValidateTensorNumDimensions
void ValidateTensorNumDimensions(const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const
Definition: WorkloadData.cpp:426
armnn::DataType::Float32
@ Float32
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::DataType::BFloat16
@ BFloat16
armnn::DataType::QSymmS16
@ QSymmS16
armnn::InvalidArgumentException
Definition: Exceptions.hpp:80
armnn::TensorInfo::GetDataType
DataType GetDataType() const
Definition: Tensor.hpp:198
armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18