Specifies the parameters used by the CfcLayer. Note, you must also fill out the CfcUnitParameter. More...

Inheritance diagram for MyCaffe.param.lnn.CfcParameter:

Public Types
enum	CELL_TYPE { CFC , LTC }
	Defines the cell type. More...

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

Public Member Functions
	CfcParameter ()
	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 CfcParameter	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
CELL_TYPE	cell_type `[getset]`
	Specifies the cell type to use (default = CFC). More...

int	input_features `[getset]`
	Specifies the number of input features. More...

int	hidden_size `[getset]`
	Specifies the hidden size used to size the backbone units and other internal layers. More...

int	output_features `[getset]`
	Specifies the number of output features More...

bool	return_sequences `[getset]`
	Specifies whether or not to return the sequence. More...

Detailed Description

Specifies the parameters used by the CfcLayer. Note, you must also fill out the CfcUnitParameter.

See also: Closed-form Continuous-time Neural Models by Ramin Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus, 2021, arXiv:2106.13898; Closed-form continuous-time neural networks by Ramin Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus, 2021, nature machine intelligence; GitHub:raminmh/CfC by Raminmn, 2021, GitHub (distributed under Apache 2.0 license)

Definition at line 20 of file CfcParameter.cs.

Member Enumeration Documentation

◆ CELL_TYPE

enum MyCaffe.param.lnn.CfcParameter.CELL_TYPE

Defines the cell type.

Enumerator
CFC	Specifies to use the (Closed for Continuous) CFC cell.
LTC	Specifies to use the (Liquid Time Constant) LTC cell.

Definition at line 31 of file CfcParameter.cs.

Constructor & Destructor Documentation

◆ CfcParameter()

MyCaffe.param.lnn.CfcParameter.CfcParameter ( )

Constructor for the parameter.

Definition at line 44 of file CfcParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.lnn.CfcParameter.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 123 of file CfcParameter.cs.

◆ Copy()

override void MyCaffe.param.lnn.CfcParameter.Copy ( LayerParameterBase src )

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 111 of file CfcParameter.cs.

◆ FromProto()

static CfcParameter MyCaffe.param.lnn.CfcParameter.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 153 of file CfcParameter.cs.

◆ Load()

override object MyCaffe.param.lnn.CfcParameter.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 99 of file CfcParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.lnn.CfcParameter.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 135 of file CfcParameter.cs.

Property Documentation

◆ cell_type

CELL_TYPE MyCaffe.param.lnn.CfcParameter.cell_type

getset

Specifies the cell type to use (default = CFC).

Definition at line 52 of file CfcParameter.cs.

◆ hidden_size

int MyCaffe.param.lnn.CfcParameter.hidden_size

getset

Specifies the hidden size used to size the backbone units and other internal layers.

Definition at line 72 of file CfcParameter.cs.

◆ input_features

int MyCaffe.param.lnn.CfcParameter.input_features

getset

Specifies the number of input features.

Definition at line 62 of file CfcParameter.cs.

◆ output_features

int MyCaffe.param.lnn.CfcParameter.output_features

getset

Specifies the number of output features

Definition at line 82 of file CfcParameter.cs.

◆ return_sequences

bool MyCaffe.param.lnn.CfcParameter.return_sequences

getset

Specifies whether or not to return the sequence.

Definition at line 92 of file CfcParameter.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/param.lnn/CfcParameter.cs

Public Types

Public Member Functions

Static Public Member Functions

Properties

Detailed Description

Member Enumeration Documentation

◆ CELL_TYPE

Constructor & Destructor Documentation

◆ CfcParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ cell_type

◆ hidden_size

◆ input_features

◆ output_features

◆ return_sequences