ArmNN
 20.05
ConcatQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for ConcatQueueDescriptor:
QueueDescriptorWithParameters< OriginsDescriptor > QueueDescriptor

Classes

struct  ViewOrigin
 

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
 

Public Attributes

std::vector< ViewOriginm_ViewOrigins
 
- Public Attributes inherited from QueueDescriptorWithParameters< OriginsDescriptor >
OriginsDescriptor m_Parameters
 
- Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 

Additional Inherited Members

- Protected Member Functions inherited from QueueDescriptorWithParameters< OriginsDescriptor >
 ~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 102 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 777 of file WorkloadData.cpp.

References armnn::BFloat16, armnn::Boolean, armnn::Float16, armnn::Float32, QueueDescriptor::m_Inputs, WorkloadInfo::m_InputTensorInfos, ConcatQueueDescriptor::ViewOrigin::m_Origin, QueueDescriptor::m_Outputs, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

778 {
779  const std::string descriptorName{"ConcatQueueDescriptor"};
780 
781  ValidateNumOutputs(workloadInfo, descriptorName, 1);
782 
783  if (m_Inputs.size() <= 0)
784  {
785  throw InvalidArgumentException(descriptorName + ": At least one input needs to be provided.");
786  }
787  if (m_Outputs.size() <= 0)
788  {
789  throw InvalidArgumentException(descriptorName + ": At least one output needs to be provided.");
790  }
791 
792  if (workloadInfo.m_InputTensorInfos.size() <= 0)
793  {
794  throw InvalidArgumentException(descriptorName + ": At least one TensorInfo input needs to be provided.");
795  }
796  if (workloadInfo.m_OutputTensorInfos.size() <= 0)
797  {
798  throw InvalidArgumentException(descriptorName + ": At least one TensorInfo output needs to be provided.");
799  }
800 
801  if(m_Parameters.GetConcatAxis() > workloadInfo.m_InputTensorInfos[0].GetShape().GetNumDimensions())
802  {
803  throw InvalidArgumentException(descriptorName + ": Invalid concatenation axis provided.");
804  }
805 
806  if (workloadInfo.m_InputTensorInfos[0].GetShape().GetNumDimensions() - m_Parameters.GetConcatAxis() == 1)
807  {
808  return;
809  }
810 
811  if (workloadInfo.m_InputTensorInfos.size() != m_ViewOrigins.size())
812  {
814  descriptorName + ": Number of split windows "
815  "has to match number of workloadInfo.m_InputTensorInfos. "
816  "Number of windows: " +
817  to_string(m_ViewOrigins.size()) +
818  ". Number of workloadInfo.m_InputTensorInfos: " + to_string(workloadInfo.m_InputTensorInfos.size()));
819  }
820 
821  //The dimensionality of all the windows has to match the dimensionality (not shape) of the output.
822  std::size_t outputDims = workloadInfo.m_OutputTensorInfos[0].GetNumDimensions();
823  for(unsigned int w = 0; w < m_ViewOrigins.size(); ++w )
824  {
825  //Checks that the dimensionality of output is same as the split windows.
826  ViewOrigin const& e = m_ViewOrigins[w];
827  if (e.m_Origin.size() != outputDims)
828  {
829  throw InvalidArgumentException(descriptorName + ": Window origin have to "
830  "have the same dimensionality as the output tensor. "
831  "Window origin (index: " +
832  to_string(w) + ") has " + to_string(e.m_Origin.size()) +
833  " dimensions, the output "
834  "tensor has " +
835  to_string(outputDims) + " dimensions.");
836  }
837  //Checks that the merge windows are within the output tensor.
838  for (unsigned int i = 0; i < e.m_Origin.size(); ++i)
839  {
840  if (e.m_Origin[i] + workloadInfo.m_InputTensorInfos[w].GetShape()[i]
841  > workloadInfo.m_OutputTensorInfos[0].GetShape()[i])
842  {
843  throw InvalidArgumentException(descriptorName + ": Window extent coordinates have to "
844  "be smaller or equal than the size of the output in that coord.");
845  }
846  }
847  }
848 
849  // Check the supported data types
850  std::vector<DataType> supportedTypes =
851  {
860  };
861 
862  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
863  for (unsigned long i = 0ul; i < workloadInfo.m_InputTensorInfos.size(); ++i)
864  {
865  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[i];
866  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
867 
868  const std::string inputName = "input_" + std::to_string(i);
869  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, inputName, "output");
870  }
871 }
std::vector< TensorInfo > m_InputTensorInfos
std::vector< ViewOrigin > m_ViewOrigins
std::vector< TensorInfo > m_OutputTensorInfos
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
unsigned int GetConcatAxis() const
Get the concatenation axis value.

Member Data Documentation

◆ m_ViewOrigins


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