Convolution2dDescriptor Struct Reference

A Convolution2dDescriptor for the Convolution2dLayer. More...

#include <Descriptors.hpp>

Inheritance diagram for Convolution2dDescriptor:

Collaboration diagram for Convolution2dDescriptor:

Public Member Functions
	Convolution2dDescriptor ()
bool	operator== (const Convolution2dDescriptor &rhs) const
uint32_t	GetNumInputs () const
Public Member Functions inherited from BaseDescriptor
virtual bool	IsNull () const
virtual	~BaseDescriptor ()=default

Public Attributes
uint32_t	m_PadLeft
	Padding left value in the width dimension.
uint32_t	m_PadRight
	Padding right value in the width dimension.
uint32_t	m_PadTop
	Padding top value in the height dimension.
uint32_t	m_PadBottom
	Padding bottom value in the height dimension.
uint32_t	m_StrideX
	Stride value when proceeding through input for the width dimension.
uint32_t	m_StrideY
	Stride value when proceeding through input for the height dimension.
uint32_t	m_DilationX
	Dilation along x axis.
uint32_t	m_DilationY
	Dilation along y axis.
bool	m_BiasEnabled
	Enable/disable bias.
DataLayout	m_DataLayout
	The data layout to be used (NCHW, NHWC).

Detailed Description

A Convolution2dDescriptor for the Convolution2dLayer.

Definition at line 534 of file Descriptors.hpp.

Constructor & Destructor Documentation

Convolution2dDescriptor()

Convolution2dDescriptor ( )

inline

Definition at line 536 of file Descriptors.hpp.

        : m_PadLeft(0)
        , m_PadRight(0)
        , m_PadTop(0)
        , m_PadBottom(0)
        , m_StrideX(1)
        , m_StrideY(1)
        , m_DilationX(1)
        , m_DilationY(1)
        , m_BiasEnabled(false)
        , m_DataLayout(DataLayout::NCHW)
    {}

References m_BiasEnabled, m_DataLayout, m_DilationX, m_DilationY, m_PadBottom, m_PadLeft, m_PadRight, m_PadTop, m_StrideX, m_StrideY, and armnn::NCHW.

Referenced by operator==().

Member Function Documentation

GetNumInputs()

uint32_t GetNumInputs

(

)

const

Definition at line 470 of file Descriptors.cpp.

{
    return armnn::GetNumInputs(m_BiasEnabled);
}

References armnn::GetNumInputs(), and m_BiasEnabled.

operator==()

bool operator== ( const Convolution2dDescriptor & rhs ) const

inline

Definition at line 549 of file Descriptors.hpp.

    {
        return m_PadLeft     == rhs.m_PadLeft &&
               m_PadRight    == rhs.m_PadRight &&
               m_PadTop      == rhs.m_PadTop &&
               m_PadBottom   == rhs.m_PadBottom &&
               m_StrideX     == rhs.m_StrideX &&
               m_StrideY     == rhs.m_StrideY &&
               m_DilationX   == rhs.m_DilationX &&
               m_DilationY   == rhs.m_DilationY &&
               m_BiasEnabled == rhs.m_BiasEnabled &&
               m_DataLayout  == rhs.m_DataLayout;
    }

References Convolution2dDescriptor(), m_BiasEnabled, m_DataLayout, m_DilationX, m_DilationY, m_PadBottom, m_PadLeft, m_PadRight, m_PadTop, m_StrideX, and m_StrideY.

Member Data Documentation

m_BiasEnabled

bool m_BiasEnabled

Enable/disable bias.

Definition at line 582 of file Descriptors.hpp.

Referenced by armnn::ClConvolution2dWorkloadValidate(), ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), GetNumInputs(), LayerSupportHandle::IsConvolution2dSupported(), armnn::NeonConvolution2dWorkloadValidate(), operator==(), ClBackend::OptimizeSubgraphView(), NeonBackend::OptimizeSubgraphView(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_DataLayout

DataLayout m_DataLayout

The data layout to be used (NCHW, NHWC).

Definition at line 584 of file Descriptors.hpp.

Referenced by armnn::ClConvolution2dWorkloadValidate(), ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), armnn::NeonConvolution2dWorkloadValidate(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_DilationX

uint32_t m_DilationX

Dilation along x axis.

Definition at line 578 of file Descriptors.hpp.

Referenced by armnn::ClConvolution2dWorkloadValidate(), ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), armnn::NeonConvolution2dWorkloadValidate(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_DilationY

uint32_t m_DilationY

Dilation along y axis.

Definition at line 580 of file Descriptors.hpp.

Referenced by armnn::ClConvolution2dWorkloadValidate(), ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), armnn::NeonConvolution2dWorkloadValidate(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_PadBottom

uint32_t m_PadBottom

Padding bottom value in the height dimension.

Definition at line 572 of file Descriptors.hpp.

Referenced by ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_PadLeft

uint32_t m_PadLeft

Padding left value in the width dimension.

Definition at line 566 of file Descriptors.hpp.

Referenced by ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_PadRight

uint32_t m_PadRight

Padding right value in the width dimension.

Definition at line 568 of file Descriptors.hpp.

Referenced by ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_PadTop

uint32_t m_PadTop

Padding top value in the height dimension.

Definition at line 570 of file Descriptors.hpp.

Referenced by ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_StrideX

uint32_t m_StrideX

Stride value when proceeding through input for the width dimension.

Definition at line 574 of file Descriptors.hpp.

Referenced by ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

m_StrideY

uint32_t m_StrideY

Stride value when proceeding through input for the height dimension.

Definition at line 576 of file Descriptors.hpp.

Referenced by ConvertConv2dToTosaOperator(), Convolution2dDescriptor(), operator==(), and StringifyLayerParameters< Convolution2dDescriptor >::Serialize().

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

• include/armnn/Descriptors.hpp
• src/armnn/Descriptors.cpp