Specifies the parameters for the ScaleLayer. More...

Inheritance diagram for MyCaffe.param.ScaleParameter:

Public Member Functions
	ScaleParameter ()
	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.BiasParameter
	BiasParameter ()
	Constructor for the parameter. More...

override object	Load (System.IO.BinaryReader br, bool bNewInstance=true)
	Load the parameter from a binary reader. 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 new ScaleParameter	FromProto (RawProto rp)
	Parses the parameter from a RawProto. More...

Static Public Member Functions inherited from MyCaffe.param.BiasParameter
static BiasParameter	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
bool	bias_term `[getset]`
	Whether to also learn a bias (equivalent to a ScalarLayer + BiasLayer, but may be more efficient). More...

FillerParameter	bias_filler `[getset]`
	Filler used for bias filling. More...

Properties inherited from MyCaffe.param.BiasParameter
int	axis `[getset]`
	The first axis of bottom[0] (the first input Blob) along which to apply bottom[1] (the second input Blob). May be negative index from end (e.g., -1 for the last axis). More...

int	num_axes `[getset]`
	(num_axes is ignored unless just one bottom is given and the bias is a learned parameter of the layer. Otherwise, num_axes is determined by the number of axes of the input (bottom[0] covered by the bias parameter, or -1 to cover all axes of bottom[0] starting from 'axis'. More...

FillerParameter	filler `[getset]`
	(filler is ignored unless just one bottom is given and the bias is a learned parameter of the layer.) The initialization for the learned bias parameter. 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 for the ScaleLayer.

Definition at line 15 of file ScaleParameter.cs.

Constructor & Destructor Documentation

◆ ScaleParameter()

MyCaffe.param.ScaleParameter.ScaleParameter ( )

Constructor for the parameter.

Definition at line 21 of file ScaleParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.ScaleParameter.Clone ( )

virtual

Creates a new copy of this instance of the parameter.

Returns: A new instance of this parameter is returned.

Reimplemented from MyCaffe.param.BiasParameter.

Definition at line 72 of file ScaleParameter.cs.

◆ Copy()

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

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Reimplemented from MyCaffe.param.BiasParameter.

Definition at line 59 of file ScaleParameter.cs.

◆ FromProto()

static new ScaleParameter MyCaffe.param.ScaleParameter.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 104 of file ScaleParameter.cs.

◆ Load()

override object MyCaffe.param.ScaleParameter.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 47 of file ScaleParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.ScaleParameter.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.

Reimplemented from MyCaffe.param.BiasParameter.

Definition at line 84 of file ScaleParameter.cs.

Property Documentation

◆ bias_filler

FillerParameter MyCaffe.param.ScaleParameter.bias_filler

getset

Filler used for bias filling.

Definition at line 40 of file ScaleParameter.cs.

◆ bias_term

bool MyCaffe.param.ScaleParameter.bias_term

getset

Whether to also learn a bias (equivalent to a ScalarLayer + BiasLayer, but may be more efficient).

Definition at line 30 of file ScaleParameter.cs.

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

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

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ ScaleParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ bias_filler

◆ bias_term