ArmNN
 20.02
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 QueueDescriptor
void ValidateInputsOutputs (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) 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
 
- Protected Member Functions inherited from QueueDescriptorWithParameters< StridedSliceDescriptor >
 ~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 425 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 2280 of file WorkloadData.cpp.

References armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetNumDimensions(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmU8, and armnn::QSymmS16.

2281 {
2282  const std::string descriptorName{"StridedSliceQueueDescriptor"};
2283 
2284  ValidateNumInputs(workloadInfo, descriptorName, 1);
2285  ValidateNumOutputs(workloadInfo, descriptorName, 1);
2286 
2287  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
2288  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
2289 
2290  std::vector<DataType> supportedTypes =
2291  {
2297  };
2298 
2299  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
2300  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2301 
2302  ValidateTensorQuantizationSpace(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2303 
2304  const uint32_t rank = inputTensorInfo.GetNumDimensions();
2305  if (rank > 4)
2306  {
2307  throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
2308  }
2309 
2310  // Begin, End & Stride length must be of rank(input0)
2311  if (m_Parameters.m_Begin.size() != rank)
2312  {
2313  throw InvalidArgumentException(descriptorName + ": Begin length must be of rank " + std::to_string(rank));
2314  }
2315 
2316  if (m_Parameters.m_End.size() != rank)
2317  {
2318  throw InvalidArgumentException(descriptorName + ": End length must be of rank " + std::to_string(rank));
2319  }
2320 
2321  if (m_Parameters.m_Stride.size() != rank)
2322  {
2323  throw InvalidArgumentException(descriptorName + ": Stride length must be of rank " + std::to_string(rank));
2324  }
2325 
2326  // Stride entries must be non-zero
2327  for (auto& stride : m_Parameters.m_Stride)
2328  {
2329  if (stride == 0)
2330  {
2331  throw InvalidArgumentException(descriptorName + ": Stride entries must be non-zero.");
2332  }
2333  }
2334 }
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:92

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