#include <WorkloadData.hpp>

Inheritance diagram for TransposeConvolution2dQueueDescriptor:

Collaboration diagram for TransposeConvolution2dQueueDescriptor:

Public Member Functions
	TransposeConvolution2dQueueDescriptor ()
void	Validate (const WorkloadInfo &workloadInfo) const
Public Member Functions inherited from QueueDescriptorWithParameters< TransposeConvolution2dDescriptor >
virtual	~QueueDescriptorWithParameters ()=default
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

Public Attributes
const ConstTensorHandle *	m_Weight
const ConstTensorHandle *	m_Bias
Public Attributes inherited from QueueDescriptorWithParameters< TransposeConvolution2dDescriptor >
TransposeConvolution2dDescriptor	m_Parameters
Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * >	m_Inputs
std::vector< ITensorHandle * >	m_Outputs
void *	m_AdditionalInfoObject
bool	m_AllowExpandedDims = false

Additional Inherited Members
Protected Member Functions inherited from QueueDescriptorWithParameters< TransposeConvolution2dDescriptor >
	QueueDescriptorWithParameters ()=default
QueueDescriptorWithParameters &	operator= (QueueDescriptorWithParameters const &)=default
Protected Member Functions inherited from QueueDescriptor
	QueueDescriptor ()
	QueueDescriptor (QueueDescriptor const &)=default
QueueDescriptor &	operator= (QueueDescriptor const &)=default

Detailed Description

Definition at line 544 of file WorkloadData.hpp.

Constructor & Destructor Documentation

◆ TransposeConvolution2dQueueDescriptor()

TransposeConvolution2dQueueDescriptor ( )

inline

Definition at line 546 of file WorkloadData.hpp.

                                            :
        m_Weight(nullptr),
        m_Bias(nullptr)
    {}

References m_Bias, and m_Weight.

Member Function Documentation

◆ Validate()

void Validate ( const WorkloadInfo & workloadInfo ) const

Definition at line 3066 of file WorkloadData.cpp.

{
    const std::string descriptorName{"TransposeConvolution2dQueueDescriptor"};
 
    ValidateNumInputs(workloadInfo,  descriptorName, 1);
    ValidateNumOutputs(workloadInfo, descriptorName, 1);
 
    const TensorInfo& inputTensorInfo  = workloadInfo.m_InputTensorInfos[0];
    const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
 
    ValidateTensorNumDimensions(inputTensorInfo,  descriptorName, 4, "input");
    ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 4, "output");
 
    ValidatePointer(m_Weight, descriptorName, "weight");
 
    const TensorInfo& weightTensorInfo = m_Weight->GetTensorInfo();
    ValidateTensorNumDimensions(weightTensorInfo, descriptorName, 4, "weight");
 
    ValidateWeightDataType(inputTensorInfo, weightTensorInfo, descriptorName);
 
    Optional<TensorInfo> optionalBiasTensorInfo;
    if (m_Parameters.m_BiasEnabled)
    {
        ValidatePointer(m_Bias, descriptorName, "bias");
 
        optionalBiasTensorInfo = MakeOptional<TensorInfo>(m_Bias->GetTensorInfo());
        const TensorInfo& biasTensorInfo = optionalBiasTensorInfo.value();
 
        ValidateTensorDataType(biasTensorInfo, GetBiasDataType(inputTensorInfo.GetDataType()), descriptorName, "bias");
        ValidateBiasTensorQuantization(biasTensorInfo, weightTensorInfo, descriptorName);
    }
 
    ValidatePerAxisQuantization(inputTensorInfo,
                                outputTensorInfo,
                                weightTensorInfo,
                                optionalBiasTensorInfo,
                                descriptorName);
 
    std::vector<DataType> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };
 
    ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
    ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
}