ArmNN
 20.11
LogicalBinaryQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for LogicalBinaryQueueDescriptor:
QueueDescriptorWithParameters< LogicalBinaryDescriptor > 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 QueueDescriptorWithParameters< LogicalBinaryDescriptor >
LogicalBinaryDescriptor m_Parameters
 
- Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 
void * m_AdditionalInfoObject
 
- Protected Member Functions inherited from QueueDescriptorWithParameters< LogicalBinaryDescriptor >
 ~QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=default
 
QueueDescriptorWithParametersoperator= (QueueDescriptorWithParameters const &)=default
 
- Protected Member Functions inherited from QueueDescriptor
 ~QueueDescriptor ()=default
 
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptoroperator= (QueueDescriptor const &)=default
 

Detailed Description

Definition at line 666 of file WorkloadData.hpp.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo workloadInfo) const

Definition at line 3586 of file WorkloadData.cpp.

References armnn::Boolean, TensorInfo::GetDataType(), WorkloadInfo::m_InputTensorInfos, and WorkloadInfo::m_OutputTensorInfos.

3587 {
3588  const std::string descriptorName{"LogicalBinaryQueueDescriptor"};
3589 
3590  ValidateNumInputs(workloadInfo, descriptorName, 2);
3591  ValidateNumOutputs(workloadInfo, descriptorName, 1);
3592 
3593  const TensorInfo& inputTensorInfo0 = workloadInfo.m_InputTensorInfos[0];
3594  const TensorInfo& inputTensorInfo1 = workloadInfo.m_InputTensorInfos[1];
3595  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
3596 
3597  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,
3598  inputTensorInfo1,
3599  outputTensorInfo,
3600  descriptorName,
3601  "input_0",
3602  "input_1");
3603 
3604  if (inputTensorInfo0.GetDataType() != DataType::Boolean)
3605  {
3606  throw InvalidArgumentException(descriptorName + ": Input tensor 0 type must be Boolean.");
3607  }
3608 
3609  if (inputTensorInfo1.GetDataType() != DataType::Boolean)
3610  {
3611  throw InvalidArgumentException(descriptorName + ": Input tensor 1 type must be Boolean.");
3612  }
3613 
3614  if (outputTensorInfo.GetDataType() != DataType::Boolean)
3615  {
3616  throw InvalidArgumentException(descriptorName + ": Output tensor type must be Boolean.");
3617  }
3618 }
std::vector< TensorInfo > m_InputTensorInfos
DataType GetDataType() const
Definition: Tensor.hpp:194
std::vector< TensorInfo > m_OutputTensorInfos

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