ArmNN
 25.11
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MemImportQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for MemImportQueueDescriptor:
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Collaboration diagram for MemImportQueueDescriptor:
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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 527 of file WorkloadData.cpp.

528{
529 ValidateNumInputs(workloadInfo, "MemImportQueueDescriptor", 1);
530 ValidateNumOutputs(workloadInfo, "MemImportQueueDescriptor" , 1);
531
532 if (workloadInfo.m_InputTensorInfos.size() != 1)
533 {
534 throw InvalidArgumentException(fmt::format("Number of input infos ({}) is not 1.",
535 workloadInfo.m_InputTensorInfos.size()));
536
537 }
538
539 if (workloadInfo.m_InputTensorInfos.size() != workloadInfo.m_OutputTensorInfos.size())
540 {
541 throw InvalidArgumentException(fmt::format(
542 "Number of input infos ({0}) does not match the number of output infos ({1})",
543 workloadInfo.m_InputTensorInfos.size(), workloadInfo.m_OutputTensorInfos.size()));
544 }
545
546 for (std::size_t i = 0; i < workloadInfo.m_InputTensorInfos.size(); ++i)
547 {
548 if (workloadInfo.m_InputTensorInfos[i].GetNumElements() !=
549 workloadInfo.m_OutputTensorInfos[i].GetNumElements())
550 {
551 throw InvalidArgumentException(fmt::format(
552 "Number of elements for tensor input and output {} does not match", i ));
553 }
554 }
555
556 if (m_Inputs.size() != 1)
557 {
558 throw InvalidArgumentException(fmt::format("Number of inputs ({}) is not 1.", m_Inputs.size()));
559 }
560
561 if (m_Inputs.size() != m_Outputs.size())
562 {
563 throw InvalidArgumentException(fmt::format(
564 "Number of inputs ({0}) does not match the number of outputs ({1})",
565 m_Inputs.size(), m_Outputs.size()));
566 }
567
568 for (unsigned int i = 0; i < m_Inputs.size(); ++i)
569 {
570 if (!m_Inputs[i])
571 {
572 throw InvalidArgumentException(fmt::format("Invalid null input {}", i));
573 }
574
575 if (!m_Outputs[i])
576 {
577 throw InvalidArgumentException(fmt::format("Invalid null output {}", i));
578 }
579 }
580}
std::vector< ITensorHandle * > m_Inputs
std::vector< ITensorHandle * > m_Outputs
std::vector< TensorInfo > m_OutputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos

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


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