ArmNN
 21.05
MemImportQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for MemImportQueueDescriptor:
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 QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 
void * m_AdditionalInfoObject
 
- Protected Member Functions inherited from QueueDescriptor
 ~QueueDescriptor ()=default
 
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 84 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 539 of file WorkloadData.cpp.

References QueueDescriptor::m_Inputs, WorkloadInfo::m_InputTensorInfos, QueueDescriptor::m_Outputs, and WorkloadInfo::m_OutputTensorInfos.

540 {
541  ValidateNumInputs(workloadInfo, "MemImportQueueDescriptor", 1);
542  ValidateNumOutputs(workloadInfo, "MemImportQueueDescriptor" , 1);
543 
544  if (workloadInfo.m_InputTensorInfos.size() != 1)
545  {
546  throw InvalidArgumentException(fmt::format("Number of input infos ({}) is not 1.",
547  workloadInfo.m_InputTensorInfos.size()));
548 
549  }
550 
551  if (workloadInfo.m_InputTensorInfos.size() != workloadInfo.m_OutputTensorInfos.size())
552  {
553  throw InvalidArgumentException(fmt::format(
554  "Number of input infos ({0}) does not match the number of output infos ({1})",
555  workloadInfo.m_InputTensorInfos.size(), workloadInfo.m_OutputTensorInfos.size()));
556  }
557 
558  for (std::size_t i = 0; i < workloadInfo.m_InputTensorInfos.size(); ++i)
559  {
560  if (workloadInfo.m_InputTensorInfos[i].GetNumElements() !=
561  workloadInfo.m_OutputTensorInfos[i].GetNumElements())
562  {
563  throw InvalidArgumentException(fmt::format(
564  "Number of elements for tensor input and output {} does not match", i ));
565  }
566  }
567 
568  if (m_Inputs.size() != 1)
569  {
570  throw InvalidArgumentException(fmt::format("Number of inputs ({}) is not 1.", m_Inputs.size()));
571  }
572 
573  if (m_Inputs.size() != m_Outputs.size())
574  {
575  throw InvalidArgumentException(fmt::format(
576  "Number of inputs ({0}) does not match the number of outputs ({1})",
577  m_Inputs.size(), m_Outputs.size()));
578  }
579 
580  for (unsigned int i = 0; i < m_Inputs.size(); ++i)
581  {
582  if (!m_Inputs[i])
583  {
584  throw InvalidArgumentException(fmt::format("Invalid null input {}", i));
585  }
586 
587  if (!m_Outputs[i])
588  {
589  throw InvalidArgumentException(fmt::format("Invalid null output {}", i));
590  }
591  }
592 }
std::vector< TensorInfo > m_InputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs

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