ArmNN
 21.02
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 540 of file WorkloadData.cpp.

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

541 {
542  ValidateNumInputs(workloadInfo, "MemImportQueueDescriptor", 1);
543  ValidateNumOutputs(workloadInfo, "MemImportQueueDescriptor" , 1);
544 
545  if (workloadInfo.m_InputTensorInfos.size() != 1)
546  {
547  throw InvalidArgumentException(fmt::format("Number of input infos ({}) is not 1.",
548  workloadInfo.m_InputTensorInfos.size()));
549 
550  }
551 
552  if (workloadInfo.m_InputTensorInfos.size() != workloadInfo.m_OutputTensorInfos.size())
553  {
554  throw InvalidArgumentException(fmt::format(
555  "Number of input infos ({0}) does not match the number of output infos ({1})",
556  workloadInfo.m_InputTensorInfos.size(), workloadInfo.m_OutputTensorInfos.size()));
557  }
558 
559  for (std::size_t i = 0; i < workloadInfo.m_InputTensorInfos.size(); ++i)
560  {
561  if (workloadInfo.m_InputTensorInfos[i].GetNumElements() !=
562  workloadInfo.m_OutputTensorInfos[i].GetNumElements())
563  {
564  throw InvalidArgumentException(fmt::format(
565  "Number of elements for tensor input and output {} does not match", i ));
566  }
567  }
568 
569  if (m_Inputs.size() != 1)
570  {
571  throw InvalidArgumentException(fmt::format("Number of inputs ({}) is not 1.", m_Inputs.size()));
572  }
573 
574  if (m_Inputs.size() != m_Outputs.size())
575  {
576  throw InvalidArgumentException(fmt::format(
577  "Number of inputs ({0}) does not match the number of outputs ({1})",
578  m_Inputs.size(), m_Outputs.size()));
579  }
580 
581  for (unsigned int i = 0; i < m_Inputs.size(); ++i)
582  {
583  if (!m_Inputs[i])
584  {
585  throw InvalidArgumentException(fmt::format("Invalid null input {}", i));
586  }
587 
588  if (!m_Outputs[i])
589  {
590  throw InvalidArgumentException(fmt::format("Invalid null output {}", i));
591  }
592  }
593 }
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: