ArmNN
 21.08
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 532 of file WorkloadData.cpp.

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

533 {
534  ValidateNumInputs(workloadInfo, "MemImportQueueDescriptor", 1);
535  ValidateNumOutputs(workloadInfo, "MemImportQueueDescriptor" , 1);
536 
537  if (workloadInfo.m_InputTensorInfos.size() != 1)
538  {
539  throw InvalidArgumentException(fmt::format("Number of input infos ({}) is not 1.",
540  workloadInfo.m_InputTensorInfos.size()));
541 
542  }
543 
544  if (workloadInfo.m_InputTensorInfos.size() != workloadInfo.m_OutputTensorInfos.size())
545  {
546  throw InvalidArgumentException(fmt::format(
547  "Number of input infos ({0}) does not match the number of output infos ({1})",
548  workloadInfo.m_InputTensorInfos.size(), workloadInfo.m_OutputTensorInfos.size()));
549  }
550 
551  for (std::size_t i = 0; i < workloadInfo.m_InputTensorInfos.size(); ++i)
552  {
553  if (workloadInfo.m_InputTensorInfos[i].GetNumElements() !=
554  workloadInfo.m_OutputTensorInfos[i].GetNumElements())
555  {
556  throw InvalidArgumentException(fmt::format(
557  "Number of elements for tensor input and output {} does not match", i ));
558  }
559  }
560 
561  if (m_Inputs.size() != 1)
562  {
563  throw InvalidArgumentException(fmt::format("Number of inputs ({}) is not 1.", m_Inputs.size()));
564  }
565 
566  if (m_Inputs.size() != m_Outputs.size())
567  {
568  throw InvalidArgumentException(fmt::format(
569  "Number of inputs ({0}) does not match the number of outputs ({1})",
570  m_Inputs.size(), m_Outputs.size()));
571  }
572 
573  for (unsigned int i = 0; i < m_Inputs.size(); ++i)
574  {
575  if (!m_Inputs[i])
576  {
577  throw InvalidArgumentException(fmt::format("Invalid null input {}", i));
578  }
579 
580  if (!m_Outputs[i])
581  {
582  throw InvalidArgumentException(fmt::format("Invalid null output {}", i));
583  }
584  }
585 }
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: