ArmNN
 21.08
SpaceToDepthQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for SpaceToDepthQueueDescriptor:
QueueDescriptorWithParameters< SpaceToDepthDescriptor > 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
 
template<typename T >
const T * GetAdditionalInformation () const
 

Additional Inherited Members

- Public Attributes inherited from QueueDescriptorWithParameters< SpaceToDepthDescriptor >
SpaceToDepthDescriptor m_Parameters
 
- Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 
void * m_AdditionalInfoObject
 
- Protected Member Functions inherited from QueueDescriptorWithParameters< SpaceToDepthDescriptor >
 ~QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=default
 
QueueDescriptorWithParametersoperator= (QueueDescriptorWithParameters const &)=default
 
- Protected Member Functions inherited from QueueDescriptor
 ~QueueDescriptor ()=default
 
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 394 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 1804 of file WorkloadData.cpp.

References armnn::BFloat16, armnn::Float16, armnn::Float32, DataLayoutIndexed::GetChannelsIndex(), DataLayoutIndexed::GetHeightIndex(), TensorInfo::GetShape(), DataLayoutIndexed::GetWidthIndex(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

1805 {
1806  const std::string descriptorName{"SpaceToDepthQueueDescriptor"};
1807 
1808  ValidateNumInputs(workloadInfo, descriptorName, 1);
1809  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1810 
1811  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1812  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1813 
1814  ValidateTensorNumDimensions(inputTensorInfo, descriptorName, 4, "input");
1815  ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 4, "output");
1816 
1817  std::vector<DataType> supportedTypes =
1818  {
1825  };
1826 
1827  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1828  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);
1829 
1830  ValidateTensorNumElementsMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1831 
1832  if (m_Parameters.m_BlockSize == 0)
1833  {
1834  throw InvalidArgumentException(descriptorName + ": Block size cannot be 0.");
1835  }
1836 
1837  DataLayoutIndexed dimensionIndices(m_Parameters.m_DataLayout);
1838  const unsigned int wIndex = dimensionIndices.GetWidthIndex();
1839  const unsigned int hIndex = dimensionIndices.GetHeightIndex();
1840  const unsigned int cIndex = dimensionIndices.GetChannelsIndex();
1841 
1842  const TensorShape& inputShape = inputTensorInfo.GetShape();
1843  if (inputShape[hIndex] % m_Parameters.m_BlockSize != 0 || inputShape[wIndex] % m_Parameters.m_BlockSize != 0)
1844  {
1845  throw InvalidArgumentException(descriptorName + ": Input shape must be divisible "
1846  "by block size in all spatial dimensions");
1847  }
1848 
1849  const TensorShape& outputShape = outputTensorInfo.GetShape();
1850  if (outputShape[cIndex] % (m_Parameters.m_BlockSize * m_Parameters.m_BlockSize) != 0)
1851  {
1852  throw InvalidArgumentException(descriptorName + ": The depth of the output tensor"
1853  "must be divisible by the square of block size." );
1854  }
1855 }
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
std::vector< TensorInfo > m_InputTensorInfos
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
std::vector< TensorInfo > m_OutputTensorInfos
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).

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