Specifies the parameters used by the EmbedLayer. More...

Inheritance diagram for MyCaffe.param.EmbedParameter:

Public Member Functions
	EmbedParameter ()
	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 EmbedParameter	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
uint	num_output `[getset]`
	Specifies the number of outputs for the layer. More...

uint	input_dim `[getset]`
	Specifies the input given as integers to be interpreted as one-hot vector indices with dimension num_input. Hence num_input should be 1 greater than the maximum possible input value. More...

bool	bias_term `[getset]`
	Specifies whether to use a bias term or not. More...

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

FillerParameter	bias_filler `[getset]`
	Specifies 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

Specifies the parameters used by the EmbedLayer.

Definition at line 15 of file EmbedParameter.cs.

Constructor & Destructor Documentation

◆ EmbedParameter()

MyCaffe.param.EmbedParameter.EmbedParameter ( )

Constructor for the parameter.

Definition at line 24 of file EmbedParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.EmbedParameter.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 109 of file EmbedParameter.cs.

◆ Copy()

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

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 93 of file EmbedParameter.cs.

◆ FromProto()

static EmbedParameter MyCaffe.param.EmbedParameter.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 145 of file EmbedParameter.cs.

◆ Load()

override object MyCaffe.param.EmbedParameter.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 81 of file EmbedParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.EmbedParameter.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 121 of file EmbedParameter.cs.

Property Documentation

◆ bias_filler

FillerParameter MyCaffe.param.EmbedParameter.bias_filler

getset

Specifies the filler for the bias.

Definition at line 74 of file EmbedParameter.cs.

◆ bias_term

bool MyCaffe.param.EmbedParameter.bias_term

getset

Specifies whether to use a bias term or not.

Definition at line 54 of file EmbedParameter.cs.

◆ input_dim

uint MyCaffe.param.EmbedParameter.input_dim

getset

Specifies the input given as integers to be interpreted as one-hot vector indices with dimension num_input. Hence num_input should be 1 greater than the maximum possible input value.

Definition at line 44 of file EmbedParameter.cs.

◆ num_output

uint MyCaffe.param.EmbedParameter.num_output

getset

Specifies the number of outputs for the layer.

Definition at line 32 of file EmbedParameter.cs.

◆ weight_filler

FillerParameter MyCaffe.param.EmbedParameter.weight_filler

getset

Specifies the filler for the weights.

Definition at line 64 of file EmbedParameter.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/param/EmbedParameter.cs

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ EmbedParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ bias_filler

◆ bias_term

◆ input_dim

◆ num_output

◆ weight_filler