[/b DEPRECIATED, use MultiHeadAttention layers instead.] Specifies the parameters for the AttentionLayer. More...

Inheritance diagram for MyCaffe.param.AttentionParameter:

Public Member Functions
	AttentionParameter ()
	Constructor for the parameter. More...

override object	Load (System.IO.BinaryReader br, bool bNewInstance=true)
	Load the parameter from a binary reader. More...

override void	Copy (LayerParameterBase src)
	Copy on parameter to another. More...

override LayerParameterBase	Clone ()
	Creates a new copy of this instance of the parameter. More...

override RawProto	ToProto (string strName)
	Convert the parameter into a RawProto. More...

Public Member Functions inherited from MyCaffe.param.LayerParameterBase
	LayerParameterBase ()
	Constructor for the parameter. More...

virtual string	PrepareRunModelInputs ()
	This method gives derivative classes a chance specify model inputs required by the run model. More...

virtual void	PrepareRunModel (LayerParameter p)
	This method gives derivative classes a chance to prepare the layer for a run-model. More...

void	Save (BinaryWriter bw)
	Save this parameter to a binary writer. More...

abstract object	Load (BinaryReader br, bool bNewInstance=true)
	Load the parameter from a binary reader. More...

Public Member Functions inherited from MyCaffe.basecode.BaseParameter
	BaseParameter ()
	Constructor for the parameter. More...

virtual bool	Compare (BaseParameter p)
	Compare this parameter to another parameter. More...

Static Public Member Functions
static AttentionParameter	FromProto (RawProto rp)
	Parses the parameter from a RawProto. More...

Static Public Member Functions inherited from MyCaffe.basecode.BaseParameter
static double	ParseDouble (string strVal)
	Parse double values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static bool	TryParse (string strVal, out double df)
	Parse double values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static float	ParseFloat (string strVal)
	Parse float values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

static bool	TryParse (string strVal, out float f)
	Parse doufloatble values using the US culture if the decimal separator = '.', then using the native culture, and if then lastly trying the US culture to handle prototypes containing '.' as the separator, yet parsed in a culture that does not use '.' as a decimal. More...

Properties
int	axis `[getset]`
	The axis along which to perform the softmax – may be negative to index from the end (e.g., -1 for the last axis). Any other axes will be evaluated as independent softmaxes. More...

uint	dim `[getset]`
	Specifies the dim of the attention unit which should match the LSTM output size. More...

FillerParameter	weight_filler `[getset]`
	The filler for the weights. More...

FillerParameter	bias_filler `[getset]`
	The filler for the bias. More...

Additional Inherited Members
Public Types inherited from MyCaffe.param.LayerParameterBase
enum	LABEL_TYPE { NONE , SINGLE , MULTIPLE , ONLY_ONE }
	Defines the label type. More...

Detailed Description

[/b DEPRECIATED, use MultiHeadAttention layers instead.] Specifies the parameters for the AttentionLayer.

Definition at line 17 of file AttentionParameter.cs.

Constructor & Destructor Documentation

◆ AttentionParameter()

MyCaffe.param.AttentionParameter.AttentionParameter ( )

Constructor for the parameter.

Definition at line 25 of file AttentionParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.AttentionParameter.Clone ( )

virtual

Creates a new copy of this instance of the parameter.

Returns: A new instance of this parameter is returned.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 100 of file AttentionParameter.cs.

◆ Copy()

override void MyCaffe.param.AttentionParameter.Copy ( LayerParameterBase src )

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 85 of file AttentionParameter.cs.

◆ FromProto()

static AttentionParameter MyCaffe.param.AttentionParameter.FromProto ( RawProto rp )

static

Parses the parameter from a RawProto.

Parameters

rp	Specifies the RawProto to parse.

Returns: A new instance of the parameter is returned.

Definition at line 133 of file AttentionParameter.cs.

◆ Load()

override object MyCaffe.param.AttentionParameter.Load	(	System.IO.BinaryReader	br,
		bool	bNewInstance = `true`
	)

Load the parameter from a binary reader.

Parameters

br	Specifies the binary reader.
bNewInstance	When true a new instance is created (the default), otherwise the existing instance is loaded from the binary reader.

Returns: Returns an instance of the parameter.

Definition at line 73 of file AttentionParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.AttentionParameter.ToProto ( string strName )

virtual

Convert the parameter into a RawProto.

Parameters

strName Specifies the name to associate with the RawProto.

Returns: The new RawProto is returned.

Implements MyCaffe.basecode.BaseParameter.

Definition at line 112 of file AttentionParameter.cs.

Property Documentation

◆ axis

int MyCaffe.param.AttentionParameter.axis

getset

The axis along which to perform the softmax – may be negative to index from the end (e.g., -1 for the last axis). Any other axes will be evaluated as independent softmaxes.

Definition at line 35 of file AttentionParameter.cs.

◆ bias_filler

FillerParameter MyCaffe.param.AttentionParameter.bias_filler

getset

The filler for the bias.

Definition at line 66 of file AttentionParameter.cs.

◆ dim

uint MyCaffe.param.AttentionParameter.dim

getset

Specifies the dim of the attention unit which should match the LSTM output size.

Definition at line 44 of file AttentionParameter.cs.

◆ weight_filler

FillerParameter MyCaffe.param.AttentionParameter.weight_filler

getset

The filler for the weights.

Definition at line 55 of file AttentionParameter.cs.

The documentation for this class was generated from the following file:

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/param.beta/AttentionParameter.cs

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ AttentionParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ axis

◆ bias_filler

◆ dim

◆ weight_filler