ArmNN
 20.05
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 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 435 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 2365 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.

2366 {
2367  const std::string descriptorName{"StridedSliceQueueDescriptor"};
2368 
2369  ValidateNumInputs(workloadInfo, descriptorName, 1);
2370  ValidateNumOutputs(workloadInfo, descriptorName, 1);
2371 
2372  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
2373  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
2374 
2375  std::vector<DataType> supportedTypes =
2376  {
2383  };
2384 
2385  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
2386  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2387 
2388  ValidateTensorQuantizationSpace(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
2389 
2390  const uint32_t rank = inputTensorInfo.GetNumDimensions();
2391  if (rank > 4)
2392  {
2393  throw InvalidArgumentException(descriptorName + ": Input tensors with rank greater than 4 are not supported.");
2394  }
2395 
2396  // Begin, End & Stride length must be of rank(input0)
2397  if (m_Parameters.m_Begin.size() != rank)
2398  {
2399  throw InvalidArgumentException(descriptorName + ": Begin length must be of rank " + std::to_string(rank));
2400  }
2401 
2402  if (m_Parameters.m_End.size() != rank)
2403  {
2404  throw InvalidArgumentException(descriptorName + ": End length must be of rank " + std::to_string(rank));
2405  }
2406 
2407  if (m_Parameters.m_Stride.size() != rank)
2408  {
2409  throw InvalidArgumentException(descriptorName + ": Stride length must be of rank " + std::to_string(rank));
2410  }
2411 
2412  // Stride entries must be non-zero
2413  for (auto& stride : m_Parameters.m_Stride)
2414  {
2415  if (stride == 0)
2416  {
2417  throw InvalidArgumentException(descriptorName + ": Stride entries must be non-zero.");
2418  }
2419  }
2420 }
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: