ArmNN
 22.11
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 499 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 2538 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.

2539 {
2540  const std::string descriptorName{"StridedSliceQueueDescriptor"};
2541 
2542  ValidateNumInputs(workloadInfo, descriptorName, 1);
2543  ValidateNumOutputs(workloadInfo, descriptorName, 1);
2544 
2545  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
2546  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
2547 
2548  std::vector<DataType> supportedTypes =
2549  {
2556  };
2557 
2558  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
2559  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2560 
2561  ValidateTensorQuantizationSpace(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2562 
2563  const uint32_t rank = inputTensorInfo.GetNumDimensions();
2564  if (rank > 4)
2565  {
2566  throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
2567  }
2568 
2569  // Begin, End & Stride length must be of rank(input0)
2570  if (m_Parameters.m_Begin.size() != rank)
2571  {
2572  throw InvalidArgumentException(descriptorName + ": Begin length must be of rank " + std::to_string(rank));
2573  }
2574 
2575  if (m_Parameters.m_End.size() != rank)
2576  {
2577  throw InvalidArgumentException(descriptorName + ": End length must be of rank " + std::to_string(rank));
2578  }
2579 
2580  if (m_Parameters.m_Stride.size() != rank)
2581  {
2582  throw InvalidArgumentException(descriptorName + ": Stride length must be of rank " + std::to_string(rank));
2583  }
2584 
2585  // Stride entries must be non-zero
2586  for (auto& stride : m_Parameters.m_Stride)
2587  {
2588  if (stride == 0)
2589  {
2590  throw InvalidArgumentException(descriptorName + ": Stride entries must be non-zero.");
2591  }
2592  }
2593 }
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: