Specifies the parameter for the LRNLayer. More...

Inheritance diagram for MyCaffe.param.LRNParameter:

Public Types
enum	NormRegion { ACROSS_CHANNELS = 0 , WITHIN_CHANNEL = 1 }
	Defines the normalization region. More...

Public Types inherited from MyCaffe.param.EngineParameter
enum	Engine { DEFAULT = 0 , CAFFE = 1 , CUDNN = 2 }
	Defines the type of engine to use. More...

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

Public Member Functions
	LRNParameter ()
	Constructor for the parameter. More...

string	useCaffeReason ()
	Returns the reason that Caffe version was used instead of NVIDIA's cuDnn. More...

bool	useCudnn ()
	Queries whether or not to use NVIDIA's cuDnn. 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.EngineParameter
	EngineParameter ()
	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 LRNParameter	FromProto (RawProto rp)
	Parses the parameter from a RawProto. More...

Static Public Member Functions inherited from MyCaffe.param.EngineParameter
static EngineParameter	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	local_size `[getset]`
	Specifies the local size of the normalization window width. More...

double	alpha `[getset]`
	Specifies the alpha value used for variance scaling in the normalization formula. NOTE: cuDNN uses a default of alpha = 1e-4, whereas Caffe uses a default of alpha = 1.0 More...

double	beta `[getset]`
	Specifies the beta value used as the power parameter in the normalization formula. NOTE: both cuDNN and Caffe use a default of beta = 0.75 More...

NormRegion	norm_region `[getset]`
	Specifies the region over which to normalize. More...

double	k `[getset]`
	Specifies the k value used by the normalization parameter. NOTE: cuDNN uses a default of k = 2.0, whereas Caffe uses a default of k = 1.0. More...

Properties inherited from MyCaffe.param.EngineParameter
Engine	engine `[getset]`
	Specifies the Engine in use. More...

Detailed Description

Specifies the parameter for the LRNLayer.

See also: Improving neural networks by preventing co-adaptation of feature detectors by Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R. Salakhutdinov, 2012.; Layer Normalization by Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton, 2016.

Definition at line 19 of file LRNParameter.cs.

Member Enumeration Documentation

◆ NormRegion

enum MyCaffe.param.LRNParameter.NormRegion

Defines the normalization region.

Enumerator
ACROSS_CHANNELS	Normalize across channels.
WITHIN_CHANNEL	Normalize within channels.

Definition at line 30 of file LRNParameter.cs.

Constructor & Destructor Documentation

◆ LRNParameter()

MyCaffe.param.LRNParameter.LRNParameter ( )

Constructor for the parameter.

Definition at line 43 of file LRNParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.LRNParameter.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.EngineParameter.

Definition at line 155 of file LRNParameter.cs.

◆ Copy()

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

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Reimplemented from MyCaffe.param.EngineParameter.

Definition at line 139 of file LRNParameter.cs.

◆ FromProto()

static new LRNParameter MyCaffe.param.LRNParameter.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 183 of file LRNParameter.cs.

◆ Load()

override object MyCaffe.param.LRNParameter.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 127 of file LRNParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.LRNParameter.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.EngineParameter.

Definition at line 163 of file LRNParameter.cs.

◆ useCaffeReason()

string MyCaffe.param.LRNParameter.useCaffeReason ( )

Returns the reason that Caffe version was used instead of NVIDIA's cuDnn.

Returns

Definition at line 52 of file LRNParameter.cs.

◆ useCudnn()

bool MyCaffe.param.LRNParameter.useCudnn ( )

Queries whether or not to use NVIDIA's cuDnn.

Returns: Returns true when cuDnn is to be used, false otherwise.

Definition at line 67 of file LRNParameter.cs.

Property Documentation

◆ alpha

double MyCaffe.param.LRNParameter.alpha

getset

Specifies the alpha value used for variance scaling in the normalization formula. NOTE: cuDNN uses a default of alpha = 1e-4, whereas Caffe uses a default of alpha = 1.0

Definition at line 90 of file LRNParameter.cs.

◆ beta

double MyCaffe.param.LRNParameter.beta

getset

Specifies the beta value used as the power parameter in the normalization formula. NOTE: both cuDNN and Caffe use a default of beta = 0.75

Definition at line 100 of file LRNParameter.cs.

◆ k

double MyCaffe.param.LRNParameter.k

getset

Specifies the k value used by the normalization parameter. NOTE: cuDNN uses a default of k = 2.0, whereas Caffe uses a default of k = 1.0.

Definition at line 120 of file LRNParameter.cs.

◆ local_size

uint MyCaffe.param.LRNParameter.local_size

getset

Specifies the local size of the normalization window width.

Definition at line 80 of file LRNParameter.cs.

◆ norm_region

NormRegion MyCaffe.param.LRNParameter.norm_region

getset

Specifies the region over which to normalize.

Definition at line 110 of file LRNParameter.cs.

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

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

Public Types

Public Member Functions

Static Public Member Functions

Properties

Detailed Description

Member Enumeration Documentation

◆ NormRegion

Constructor & Destructor Documentation

◆ LRNParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

◆ useCaffeReason()

◆ useCudnn()

Property Documentation

◆ alpha

◆ beta

◆ k

◆ local_size

◆ norm_region