ArmNN
 22.05
StridedSliceQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for StridedSliceQueueDescriptor:
QueueDescriptorWithParameters< StridedSliceDescriptor > QueueDescriptor

Public Member Functions

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

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 2585 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.

2586 {
2587  const std::string descriptorName{"StridedSliceQueueDescriptor"};
2588 
2589  ValidateNumInputs(workloadInfo, descriptorName, 1);
2590  ValidateNumOutputs(workloadInfo, descriptorName, 1);
2591 
2592  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
2593  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
2594 
2595  std::vector<DataType> supportedTypes =
2596  {
2603  };
2604 
2605  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
2606  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2607 
2608  ValidateTensorQuantizationSpace(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2609 
2610  const uint32_t rank = inputTensorInfo.GetNumDimensions();
2611  if (rank > 4)
2612  {
2613  throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
2614  }
2615 
2616  // Begin, End & Stride length must be of rank(input0)
2617  if (m_Parameters.m_Begin.size() != rank)
2618  {
2619  throw InvalidArgumentException(descriptorName + ": Begin length must be of rank " + std::to_string(rank));
2620  }
2621 
2622  if (m_Parameters.m_End.size() != rank)
2623  {
2624  throw InvalidArgumentException(descriptorName + ": End length must be of rank " + std::to_string(rank));
2625  }
2626 
2627  if (m_Parameters.m_Stride.size() != rank)
2628  {
2629  throw InvalidArgumentException(descriptorName + ": Stride length must be of rank " + std::to_string(rank));
2630  }
2631 
2632  // Stride entries must be non-zero
2633  for (auto& stride : m_Parameters.m_Stride)
2634  {
2635  if (stride == 0)
2636  {
2637  throw InvalidArgumentException(descriptorName + ": Stride entries must be non-zero.");
2638  }
2639  }
2640 }
std::vector< int > m_Begin
Begin values for the input that will be sliced.
std::vector< TensorInfo > m_InputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
std::vector< int > m_Stride
Stride values for the input that will be sliced.
std::vector< int > m_End
End values for the input that will be sliced.
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:195

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