ArmNN
 21.05
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 382 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 1817 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.

1818 {
1819  const std::string descriptorName{"SpaceToDepthQueueDescriptor"};
1820 
1821  ValidateNumInputs(workloadInfo, descriptorName, 1);
1822  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1823 
1824  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1825  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1826 
1827  ValidateTensorNumDimensions(inputTensorInfo, descriptorName, 4, "input");
1828  ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 4, "output");
1829 
1830  std::vector<DataType> supportedTypes =
1831  {
1838  };
1839 
1840  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1841  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);
1842 
1843  ValidateTensorNumElementsMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1844 
1845  if (m_Parameters.m_BlockSize == 0)
1846  {
1847  throw InvalidArgumentException(descriptorName + ": Block size cannot be 0.");
1848  }
1849 
1850  DataLayoutIndexed dimensionIndices(m_Parameters.m_DataLayout);
1851  const unsigned int wIndex = dimensionIndices.GetWidthIndex();
1852  const unsigned int hIndex = dimensionIndices.GetHeightIndex();
1853  const unsigned int cIndex = dimensionIndices.GetChannelsIndex();
1854 
1855  const TensorShape& inputShape = inputTensorInfo.GetShape();
1856  if (inputShape[hIndex] % m_Parameters.m_BlockSize != 0 || inputShape[wIndex] % m_Parameters.m_BlockSize != 0)
1857  {
1858  throw InvalidArgumentException(descriptorName + ": Input shape must be divisible "
1859  "by block size in all spatial dimensions");
1860  }
1861 
1862  const TensorShape& outputShape = outputTensorInfo.GetShape();
1863  if (outputShape[cIndex] % (m_Parameters.m_BlockSize * m_Parameters.m_BlockSize) != 0)
1864  {
1865  throw InvalidArgumentException(descriptorName + ": The depth of the output tensor"
1866  "must be divisible by the square of block size." );
1867  }
1868 }
const TensorShape & GetShape() const
Definition: Tensor.hpp:187
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: