ArmNN
 23.05
ArgMinMaxQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for ArgMinMaxQueueDescriptor:
QueueDescriptorWithParameters< ArgMinMaxDescriptor > QueueDescriptor

Public Member Functions

void Validate (const WorkloadInfo &workloadInfo) const
 
- Public Member Functions inherited from QueueDescriptorWithParameters< ArgMinMaxDescriptor >
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< ArgMinMaxDescriptor >
ArgMinMaxDescriptor 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< ArgMinMaxDescriptor >
 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 163 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 654 of file WorkloadData.cpp.

655 {
656  const std::string descriptorName{"ArgMinMaxQueueDescriptor"};
657 
658  ValidateNumInputs(workloadInfo, descriptorName, 1);
659  ValidateNumOutputs(workloadInfo, descriptorName, 1);
660 
661  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
662  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
663 
664  if (outputTensorInfo.GetDataType() != DataType::Signed32 &&
665  outputTensorInfo.GetDataType() != DataType::Signed64)
666  {
667  throw InvalidArgumentException(descriptorName + ": Output of ArgMinMax layer must be Int32 or Int64.");
668  }
669 
670  std::vector<DataType> supportedInputTypes =
671  {
680  };
681 
682  ValidateDataTypes(inputTensorInfo, supportedInputTypes, descriptorName);
683 
684  auto inputShape = inputTensorInfo.GetShape();
685  auto outputShape = outputTensorInfo.GetShape();
686 
687  auto inputNumDimensions = inputShape.GetNumDimensions();
688  auto unsignedAxis = armnnUtils::GetUnsignedAxis(inputNumDimensions, m_Parameters.m_Axis);
689 
690  const std::string outputShapeError{": Output tensor shape does not match shape inferred from input tensor."};
691 
692  // 1D input shape results in scalar output shape
693  if (inputShape.GetNumDimensions() == 1)
694  {
695  if (outputShape.GetNumDimensions() != 1 && outputShape[0] != 1)
696  {
697  throw InvalidArgumentException(descriptorName + outputShapeError);
698  }
699  }
700  else
701  {
702  for (unsigned int i = 0; i < unsignedAxis; ++i)
703  {
704  if (outputShape[i] != inputShape[i])
705  {
706  throw InvalidArgumentException(descriptorName + outputShapeError);
707  }
708  }
709 
710  for (auto i = unsignedAxis + 1; i < inputNumDimensions; ++i)
711  {
712  if (outputShape[i - 1] != inputShape[i])
713  {
714  throw InvalidArgumentException(descriptorName + outputShapeError);
715  }
716  }
717  }
718 }

References armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetDataType(), TensorShape::GetNumDimensions(), TensorInfo::GetShape(), armnnUtils::GetUnsignedAxis(), ArgMinMaxDescriptor::m_Axis, WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, QueueDescriptorWithParameters< ArgMinMaxDescriptor >::m_Parameters, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::Signed32, and armnn::Signed64.


The documentation for this struct was generated from the following files:
armnn::DataType::QAsymmU8
@ QAsymmU8
armnn::DataType::Float16
@ Float16
armnn::ArgMinMaxDescriptor::m_Axis
int m_Axis
Axis to reduce across the input tensor.
Definition: Descriptors.hpp:83
armnn::DataType::Signed32
@ Signed32
armnn::DataType::QAsymmS8
@ QAsymmS8
armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
armnn::DataType::Float32
@ Float32
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::DataType::Signed64
@ Signed64
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
armnn::QueueDescriptorWithParameters< ArgMinMaxDescriptor >::m_Parameters
ArgMinMaxDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::TensorShape::GetNumDimensions
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
Definition: Tensor.cpp:174
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
armnnUtils::GetUnsignedAxis
unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis)
Definition: TensorUtils.cpp:221