Specifies the parameters for the BatchNormLayer. More...

Inheritance diagram for MyCaffe.param.BatchNormParameter:

Public Member Functions
	BatchNormParameter ()
	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...

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 new BatchNormParameter	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
bool	scale_bias `[getset]`
	Specifies to use the scale and bias terms, otherwise the scale = 1 and bias = 0 are used to form an identity operation. More...

FillerParameter	scale_filler `[getset]`
	Specifies the scale filler used to fill the scale value. If null, a constant(1) filler is used. More...

FillerParameter	bias_filler `[getset]`
	Specifies the bias filler used to file the bias value. If null, a constant(0) filler is used. More...

bool?	use_global_stats `[getset]`
	If false, normalization is performed over the current mini-batch and global statistics are accumulated (but not yet used) by a moving average. If true, those accumulated mean and variance values are used for the normalization. By default, this is set to false when the network is in Phase.TRAINING, and true when the network is in the Phase.TESTING mode. More...

double	moving_average_fraction `[getset]`
	Specifies how much the moving average decays each iteration. Smaller values make the moving average decay faster, giving more weight to the recent values. More...

double	eps `[getset]`
	Specifies a small value to add to the variance estimate so that we don't divide by zero. More...

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

Additional Inherited Members
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...

Detailed Description

Specifies the parameters for the BatchNormLayer.

See also: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift by Sergey Ioffe and Christian Szegedy, 2015.; In Defense of the Triplet Loss for Person Re-Identification by Alexander Hermans, Lucas Beyer, and Bastian Leibe, 2017.; Layer Normalization by Jimmy Lei Ba, and Jamie Ryan Kiros, and Geoffrey E. Hinton, 2016.

Definition at line 20 of file BatchNormParameter.cs.

Constructor & Destructor Documentation

◆ BatchNormParameter()

MyCaffe.param.BatchNormParameter.BatchNormParameter ( )

Constructor for the parameter.

Definition at line 30 of file BatchNormParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.BatchNormParameter.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 180 of file BatchNormParameter.cs.

◆ Copy()

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

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 154 of file BatchNormParameter.cs.

◆ FromProto()

static new BatchNormParameter MyCaffe.param.BatchNormParameter.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 227 of file BatchNormParameter.cs.

◆ Load()

override object MyCaffe.param.BatchNormParameter.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 142 of file BatchNormParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.BatchNormParameter.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 192 of file BatchNormParameter.cs.

◆ useCaffeReason()

string MyCaffe.param.BatchNormParameter.useCaffeReason ( )

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

Returns

Definition at line 38 of file BatchNormParameter.cs.

◆ useCudnn()

bool MyCaffe.param.BatchNormParameter.useCudnn ( )

Queries whether or not to use NVIDIA's cuDnn.

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

Definition at line 50 of file BatchNormParameter.cs.

Property Documentation

◆ bias_filler

FillerParameter MyCaffe.param.BatchNormParameter.bias_filler

getset

Specifies the bias filler used to file the bias value. If null, a constant(0) filler is used.

NOTE: Currently the scale_bias is only used by the CUDNN engine.

Definition at line 92 of file BatchNormParameter.cs.

◆ eps

double MyCaffe.param.BatchNormParameter.eps

getset

Specifies a small value to add to the variance estimate so that we don't divide by zero.

Definition at line 135 of file BatchNormParameter.cs.

◆ moving_average_fraction

double MyCaffe.param.BatchNormParameter.moving_average_fraction

getset

Specifies how much the moving average decays each iteration. Smaller values make the moving average decay faster, giving more weight to the recent values.

Each iteration updates the moving average $_{t-1}$ with the current mean by $S_t = (1-\beta)Y_t + \beta \cdot S_{t-1}$ , where $\beta$ is the moving average fraction parameter.

Definition at line 124 of file BatchNormParameter.cs.

◆ scale_bias

bool MyCaffe.param.BatchNormParameter.scale_bias

getset

Specifies to use the scale and bias terms, otherwise the scale = 1 and bias = 0 are used to form an identity operation.

NOTE: Currently the scale_bias is only used by the CUDNN engine.

Definition at line 66 of file BatchNormParameter.cs.

◆ scale_filler

FillerParameter MyCaffe.param.BatchNormParameter.scale_filler

getset

Specifies the scale filler used to fill the scale value. If null, a constant(1) filler is used.

NOTE: Currently the scale_bias is only used by the CUDNN engine.

Definition at line 79 of file BatchNormParameter.cs.

◆ use_global_stats

bool? MyCaffe.param.BatchNormParameter.use_global_stats

getset

If false, normalization is performed over the current mini-batch and global statistics are accumulated (but not yet used) by a moving average. If true, those accumulated mean and variance values are used for the normalization. By default, this is set to false when the network is in Phase.TRAINING, and true when the network is in the Phase.TESTING mode.

Definition at line 108 of file BatchNormParameter.cs.

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

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

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ BatchNormParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

◆ useCaffeReason()

◆ useCudnn()

Property Documentation

◆ bias_filler

◆ eps

◆ moving_average_fraction

◆ scale_bias

◆ scale_filler

◆ use_global_stats