ArmNN
 22.05.01
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
virtual ~QueueDescriptor ()=default
 
void ValidateTensorNumDimensions (const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const
 
void ValidateTensorNumDimNumElem (const TensorInfo &tensorInfo, unsigned int numDimension, unsigned int numElements, std::string const &tensorName) const
 
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
 
bool m_AllowExpandedDims = false
 
- Protected Member Functions inherited from QueueDescriptor
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 94 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 554 of file WorkloadData.cpp.

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

555 {
556  ValidateNumInputs(workloadInfo, "MemImportQueueDescriptor", 1);
557  ValidateNumOutputs(workloadInfo, "MemImportQueueDescriptor" , 1);
558 
559  if (workloadInfo.m_InputTensorInfos.size() != 1)
560  {
561  throw InvalidArgumentException(fmt::format("Number of input infos ({}) is not 1.",
562  workloadInfo.m_InputTensorInfos.size()));
563 
564  }
565 
566  if (workloadInfo.m_InputTensorInfos.size() != workloadInfo.m_OutputTensorInfos.size())
567  {
568  throw InvalidArgumentException(fmt::format(
569  "Number of input infos ({0}) does not match the number of output infos ({1})",
570  workloadInfo.m_InputTensorInfos.size(), workloadInfo.m_OutputTensorInfos.size()));
571  }
572 
573  for (std::size_t i = 0; i < workloadInfo.m_InputTensorInfos.size(); ++i)
574  {
575  if (workloadInfo.m_InputTensorInfos[i].GetNumElements() !=
576  workloadInfo.m_OutputTensorInfos[i].GetNumElements())
577  {
578  throw InvalidArgumentException(fmt::format(
579  "Number of elements for tensor input and output {} does not match", i ));
580  }
581  }
582 
583  if (m_Inputs.size() != 1)
584  {
585  throw InvalidArgumentException(fmt::format("Number of inputs ({}) is not 1.", m_Inputs.size()));
586  }
587 
588  if (m_Inputs.size() != m_Outputs.size())
589  {
590  throw InvalidArgumentException(fmt::format(
591  "Number of inputs ({0}) does not match the number of outputs ({1})",
592  m_Inputs.size(), m_Outputs.size()));
593  }
594 
595  for (unsigned int i = 0; i < m_Inputs.size(); ++i)
596  {
597  if (!m_Inputs[i])
598  {
599  throw InvalidArgumentException(fmt::format("Invalid null input {}", i));
600  }
601 
602  if (!m_Outputs[i])
603  {
604  throw InvalidArgumentException(fmt::format("Invalid null output {}", i));
605  }
606  }
607 }
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: