ArmNN
 20.02
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 776 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::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

777 {
778  const std::string descriptorName{"ConcatQueueDescriptor"};
779 
780  ValidateNumOutputs(workloadInfo, descriptorName, 1);
781 
782  if (m_Inputs.size() <= 0)
783  {
784  throw InvalidArgumentException(descriptorName + ": At least one input needs to be provided.");
785  }
786  if (m_Outputs.size() <= 0)
787  {
788  throw InvalidArgumentException(descriptorName + ": At least one output needs to be provided.");
789  }
790 
791  if (workloadInfo.m_InputTensorInfos.size() <= 0)
792  {
793  throw InvalidArgumentException(descriptorName + ": At least one TensorInfo input needs to be provided.");
794  }
795  if (workloadInfo.m_OutputTensorInfos.size() <= 0)
796  {
797  throw InvalidArgumentException(descriptorName + ": At least one TensorInfo output needs to be provided.");
798  }
799 
800  if(m_Parameters.GetConcatAxis() > workloadInfo.m_InputTensorInfos[0].GetShape().GetNumDimensions())
801  {
802  throw InvalidArgumentException(descriptorName + ": Invalid concatenation axis provided.");
803  }
804 
805  if (workloadInfo.m_InputTensorInfos[0].GetShape().GetNumDimensions() - m_Parameters.GetConcatAxis() == 1)
806  {
807  return;
808  }
809 
810  if (workloadInfo.m_InputTensorInfos.size() != m_ViewOrigins.size())
811  {
813  descriptorName + ": Number of split windows "
814  "has to match number of workloadInfo.m_InputTensorInfos. "
815  "Number of windows: " +
816  to_string(m_ViewOrigins.size()) +
817  ". Number of workloadInfo.m_InputTensorInfos: " + to_string(workloadInfo.m_InputTensorInfos.size()));
818  }
819 
820  //The dimensionality of all the windows has to match the dimensionality (not shape) of the output.
821  std::size_t outputDims = workloadInfo.m_OutputTensorInfos[0].GetNumDimensions();
822  for(unsigned int w = 0; w < m_ViewOrigins.size(); ++w )
823  {
824  //Checks that the dimensionality of output is same as the split windows.
825  ViewOrigin const& e = m_ViewOrigins[w];
826  if (e.m_Origin.size() != outputDims)
827  {
828  throw InvalidArgumentException(descriptorName + ": Window origin have to "
829  "have the same dimensionality as the output tensor. "
830  "Window origin (index: " +
831  to_string(w) + ") has " + to_string(e.m_Origin.size()) +
832  " dimensions, the output "
833  "tensor has " +
834  to_string(outputDims) + " dimensions.");
835  }
836  //Checks that the merge windows are within the output tensor.
837  for (unsigned int i = 0; i < e.m_Origin.size(); ++i)
838  {
839  if (e.m_Origin[i] + workloadInfo.m_InputTensorInfos[w].GetShape()[i]
840  > workloadInfo.m_OutputTensorInfos[0].GetShape()[i])
841  {
842  throw InvalidArgumentException(descriptorName + ": Window extent coordinates have to "
843  "be smaller or equal than the size of the output in that coord.");
844  }
845  }
846  }
847 
848  // Check the supported data types
849  std::vector<DataType> supportedTypes =
850  {
858  };
859 
860  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
861  for (unsigned long i = 0ul; i < workloadInfo.m_InputTensorInfos.size(); ++i)
862  {
863  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[i];
864  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
865 
866  const std::string inputName = "input_" + std::to_string(i);
867  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, inputName, "output");
868  }
869 }
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: