MyCaffe  1.12.2.41
Deep learning software for Windows C# programmers.
Public Member Functions | Static Public Member Functions | Properties | List of all members
MyCaffe.param.LogParameter Class Reference

Specifies the parameters for the LogLayer. More...

Inheritance diagram for MyCaffe.param.LogParameter:
MyCaffe.param.LayerParameterBase MyCaffe.basecode.BaseParameter MyCaffe.basecode.IBinaryPersist

Public Member Functions

 LogParameter ()
 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 LogParameter 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

double base_val [getset]
 Specifies the base to use for the log, where $ y = log_base(shift + scale * x) $, for base > 0. More...
 
double scale [getset]
 Specifies the scale to use for the log, where $ y = log_base(shift + scale * x) $, for base > 0. More...
 
double shift [getset]
 Specifies the shift to use for the log, where $ y = log_base(shift + scale * x) $, for base > 0. 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 LogLayer.

The LogLayer computes outputs:

$ y = log_base(shift + scale * x) $, for base > 0.

Or if base is set to the default (-1), base is set to e., so:

$ y = ln(shift + scale * x) $

Definition at line 25 of file LogParameter.cs.

Constructor & Destructor Documentation

◆ LogParameter()

MyCaffe.param.LogParameter.LogParameter ( )

Constructor for the parameter.

Definition at line 32 of file LogParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.LogParameter.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 88 of file LogParameter.cs.

◆ Copy()

override void MyCaffe.param.LogParameter.Copy ( LayerParameterBase  src)
virtual

Copy on parameter to another.

Parameters
srcSpecifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 79 of file LogParameter.cs.

◆ FromProto()

static LogParameter MyCaffe.param.LogParameter.FromProto ( RawProto  rp)
static

Parses the parameter from a RawProto.

Parameters
rpSpecifies the RawProto to parse.
Returns
A new instance of the parameter is returned.

Definition at line 120 of file LogParameter.cs.

◆ Load()

override object MyCaffe.param.LogParameter.Load ( System.IO.BinaryReader  br,
bool  bNewInstance = true 
)

Load the parameter from a binary reader.

Parameters
brSpecifies the binary reader.
bNewInstanceWhen 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 67 of file LogParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.LogParameter.ToProto ( string  strName)
virtual

Convert the parameter into a RawProto.

Parameters
strNameSpecifies the name to associate with the RawProto.
Returns
The new RawProto is returned.

Implements MyCaffe.basecode.BaseParameter.

Definition at line 100 of file LogParameter.cs.

Property Documentation

◆ base_val

double MyCaffe.param.LogParameter.base_val
getset

Specifies the base to use for the log, where $ y = log_base(shift + scale * x) $, for base > 0.

Definition at line 40 of file LogParameter.cs.

◆ scale

double MyCaffe.param.LogParameter.scale
getset

Specifies the scale to use for the log, where $ y = log_base(shift + scale * x) $, for base > 0.

Definition at line 50 of file LogParameter.cs.

◆ shift

double MyCaffe.param.LogParameter.shift
getset

Specifies the shift to use for the log, where $ y = log_base(shift + scale * x) $, for base > 0.

Definition at line 60 of file LogParameter.cs.

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