Specifies the parameters for the BiasLayer More...

Inheritance diagram for MyCaffe.param.BiasParameter:

Public Member Functions
	BiasParameter ()
	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 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
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 BiasLayer

Definition at line 15 of file BiasParameter.cs.

Constructor & Destructor Documentation

◆ BiasParameter()

MyCaffe.param.BiasParameter.BiasParameter ( )

Constructor for the parameter.

Definition at line 22 of file BiasParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.BiasParameter.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.

Reimplemented in MyCaffe.param.ScaleParameter.

Definition at line 109 of file BiasParameter.cs.

◆ Copy()

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

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Reimplemented in MyCaffe.param.ScaleParameter.

Definition at line 96 of file BiasParameter.cs.

◆ FromProto()

static BiasParameter MyCaffe.param.BiasParameter.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 142 of file BiasParameter.cs.

◆ Load()

override object MyCaffe.param.BiasParameter.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 84 of file BiasParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.BiasParameter.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.

Reimplemented in MyCaffe.param.ScaleParameter.

Definition at line 121 of file BiasParameter.cs.

Property Documentation

◆ axis

int MyCaffe.param.BiasParameter.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).

For example, if bottom[0] is 4D with shape 100x3x40x60, the output top[0] will have the same shape, and bottom[1] may have any of the following shapes (for the given value of axis):

(axis == 0 == -4) 100; 100x3; 100x3x40; 100x3x40x60 (axis == 1 == -3) 3; 3x40; 3x40x60 (axis == 2 == -2) 40; 40x60 (axis == 3 == -1) 60

Furthermore, bottom[1] may have the empty shape (regardless of the value of 'axis') – a scalar bias.

Definition at line 45 of file BiasParameter.cs.

◆ filler

FillerParameter MyCaffe.param.BiasParameter.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.

Default is the zero (0) initialization, resulting in teh BiasLayer initially performing the identity operation.

Definition at line 77 of file BiasParameter.cs.

◆ num_axes

int MyCaffe.param.BiasParameter.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'.

Set num_axes := 0 to add a zero-axis Blob: a scalar.

Definition at line 61 of file BiasParameter.cs.

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

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

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ BiasParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ axis

◆ filler

◆ num_axes