Specifies the parameters for the GramLayer More...

Inheritance diagram for MyCaffe.param.nt.GramParameter:

Public Member Functions
	GramParameter ()
	The constructor. 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 GramParameter	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 to be lumped into a single Gram matrix computation; all preceding axes are retained in the output. May be negtive to index from the end (e.g. -1 for the last axis) For exapmle, if axis == 2 and the input is (N x C x H x W), the output will be (N x C x C) More...

double	alpha `[getset]`
	Specifies the scaling factor applied before the gram operation. More...

double	beta `[getset]`
	Specifies the scaling factor applied after the gram operation. More...

bool	disable_scaling_on_gradient `[getset]`
	Specifies whether or not to apply the un-scaling of the alpha and beta values during the during the backpropagation (default = false). 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 GramLayer

See also: ftokarev/caffe-neural-style Github by ftokarev, 2017.; A Neural Algorithm of Artistic Style by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge, 2015

Definition at line 28 of file GramParameter.cs.

Constructor & Destructor Documentation

◆ GramParameter()

MyCaffe.param.nt.GramParameter.GramParameter ( )

The constructor.

Definition at line 38 of file GramParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.nt.GramParameter.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 117 of file GramParameter.cs.

◆ Copy()

override void MyCaffe.param.nt.GramParameter.Copy ( LayerParameterBase src )

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 104 of file GramParameter.cs.

◆ FromProto()

static GramParameter MyCaffe.param.nt.GramParameter.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 146 of file GramParameter.cs.

◆ Load()

override object MyCaffe.param.nt.GramParameter.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 89 of file GramParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.nt.GramParameter.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 129 of file GramParameter.cs.

Property Documentation

◆ alpha

double MyCaffe.param.nt.GramParameter.alpha

getset

Specifies the scaling factor applied before the gram operation.

Definition at line 59 of file GramParameter.cs.

◆ axis

int MyCaffe.param.nt.GramParameter.axis

getset

The first axis to be lumped into a single Gram matrix computation; all preceding axes are retained in the output. May be negtive to index from the end (e.g. -1 for the last axis) For exapmle, if axis == 2 and the input is (N x C x H x W), the output will be (N x C x C)

Definition at line 50 of file GramParameter.cs.

◆ beta

double MyCaffe.param.nt.GramParameter.beta

getset

Specifies the scaling factor applied after the gram operation.

Definition at line 68 of file GramParameter.cs.

◆ disable_scaling_on_gradient

bool MyCaffe.param.nt.GramParameter.disable_scaling_on_gradient

getset

Specifies whether or not to apply the un-scaling of the alpha and beta values during the during the backpropagation (default = false).

Definition at line 77 of file GramParameter.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/param.nt/GramParameter.cs

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ GramParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ alpha

◆ axis

◆ beta

◆ disable_scaling_on_gradient