A FullyConnectedDescriptor for the FullyConnectedLayer. More...

#include <Descriptors.hpp>

Inheritance diagram for FullyConnectedDescriptor:

Collaboration diagram for FullyConnectedDescriptor:

Public Member Functions
	FullyConnectedDescriptor ()
bool	operator== (const FullyConnectedDescriptor &rhs) const
uint32_t	GetNumInputs () const
	Get the number of inputs.
Public Member Functions inherited from BaseDescriptor
virtual bool	IsNull () const
virtual	~BaseDescriptor ()=default

Public Attributes
bool	m_BiasEnabled
	Enable/disable bias.
bool	m_TransposeWeightMatrix
	Enable/disable transpose weight matrix.
bool	m_ConstantWeights
	Enable/disable constant weights and biases.

Detailed Description

A FullyConnectedDescriptor for the FullyConnectedLayer.

Examples: CustomMemoryAllocatorSample.cpp, and SimpleSample.cpp.

Definition at line 507 of file Descriptors.hpp.

Constructor & Destructor Documentation

◆ FullyConnectedDescriptor()

FullyConnectedDescriptor ( )

inline

Definition at line 509 of file Descriptors.hpp.

        : m_BiasEnabled(false)
        , m_TransposeWeightMatrix(false)
        , m_ConstantWeights(true)
    {}

References m_BiasEnabled, m_ConstantWeights, and m_TransposeWeightMatrix.

Referenced by operator==().

Member Function Documentation

◆ GetNumInputs()

uint32_t GetNumInputs ( ) const

Get the number of inputs.

Definition at line 475 of file Descriptors.cpp.

{
    return armnn::GetNumInputs(m_BiasEnabled);
}

References armnn::GetNumInputs(), and m_BiasEnabled.

Referenced by ClFullyConnectedWorkload::ClFullyConnectedWorkload(), and NeonFullyConnectedWorkload::NeonFullyConnectedWorkload().

◆ operator==()

bool operator== ( const FullyConnectedDescriptor & rhs ) const

inline

Definition at line 515 of file Descriptors.hpp.

    {
        return m_BiasEnabled == rhs.m_BiasEnabled
               && m_TransposeWeightMatrix == rhs.m_TransposeWeightMatrix
               && m_ConstantWeights == rhs.m_ConstantWeights;
    }

References FullyConnectedDescriptor(), m_BiasEnabled, m_ConstantWeights, and m_TransposeWeightMatrix.