Specifies the parameters for the SoftmaxLayer More...

Inheritance diagram for MyCaffe.param.SoftmaxParameter:

Public Member Functions
	SoftmaxParameter ()
	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. Softmax uses cuDNN as the default. 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 SoftmaxParameter	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
SOFTMAX_ALGORITHM?	algorithm_train `[getset]`
	Optionally, specifies the softmax algorithm to use during the training phase, when null, the 'algorithm' is used instead. More...

SOFTMAX_ALGORITHM	algorithm `[getset]`
	Specifies the softmax algorithm to use during the running and testing. More...

int	axis `[getset]`
	The axis along which to perform the softmax – may be negative to index from the end (e.g., -1 for the last axis). Any other axes will be evaluated as independent softmaxes. 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 SoftmaxLayer

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.; Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation by Wu, et al., 2016.; Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer by Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean, 2017.; Exploring the Limits of Language Modeling by Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, and Yonghui Wu, 2016.

Definition at line 22 of file SoftmaxParameter.cs.

Constructor & Destructor Documentation

◆ SoftmaxParameter()

MyCaffe.param.SoftmaxParameter.SoftmaxParameter ( )

Constructor for the parameter.

Definition at line 29 of file SoftmaxParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.SoftmaxParameter.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 115 of file SoftmaxParameter.cs.

◆ Copy()

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

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Reimplemented from MyCaffe.param.EngineParameter.

Definition at line 101 of file SoftmaxParameter.cs.

◆ FromProto()

static new SoftmaxParameter MyCaffe.param.SoftmaxParameter.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 SoftmaxParameter.cs.

◆ Load()

override object MyCaffe.param.SoftmaxParameter.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 SoftmaxParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.SoftmaxParameter.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 123 of file SoftmaxParameter.cs.

◆ useCaffeReason()

string MyCaffe.param.SoftmaxParameter.useCaffeReason ( )

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

Returns

Definition at line 38 of file SoftmaxParameter.cs.

◆ useCudnn()

bool MyCaffe.param.SoftmaxParameter.useCudnn ( )

Queries whether or not to use NVIDIA's cuDnn. Softmax uses cuDNN as the default.

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

Definition at line 50 of file SoftmaxParameter.cs.

Property Documentation

◆ algorithm

SOFTMAX_ALGORITHM MyCaffe.param.SoftmaxParameter.algorithm

getset

Specifies the softmax algorithm to use during the running and testing.

Definition at line 70 of file SoftmaxParameter.cs.

◆ algorithm_train

SOFTMAX_ALGORITHM? MyCaffe.param.SoftmaxParameter.algorithm_train

getset

Optionally, specifies the softmax algorithm to use during the training phase, when null, the 'algorithm' is used instead.

Definition at line 61 of file SoftmaxParameter.cs.

◆ axis

int MyCaffe.param.SoftmaxParameter.axis

getset

The axis along which to perform the softmax – may be negative to index from the end (e.g., -1 for the last axis). Any other axes will be evaluated as independent softmaxes.

Definition at line 82 of file SoftmaxParameter.cs.

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

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

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ SoftmaxParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

◆ useCaffeReason()

◆ useCudnn()

Property Documentation

◆ algorithm

◆ algorithm_train

◆ axis