MyCaffe  1.12.2.41
Deep learning software for Windows C# programmers.
MyCaffe.param.beta.SerfParameter Class Reference

Stores the parameters used by the SerfLayer More...

Inheritance diagram for MyCaffe.param.beta.SerfParameter:
MyCaffe.param.EngineParameter MyCaffe.param.LayerParameterBase MyCaffe.basecode.BaseParameter MyCaffe.basecode.IBinaryPersist

Public Member Functions

 SerfParameter ()
 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 SerfParameter 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

double threshold [getset]
 Specifies the max threshold value used in exp functions. 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

Stores the parameters used by the SerfLayer

Definition at line 15 of file SerfParameter.cs.

Constructor & Destructor Documentation

◆ SerfParameter()

MyCaffe.param.beta.SerfParameter.SerfParameter ( )

Constructor for the parameter.

Definition at line 20 of file SerfParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.beta.SerfParameter.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 82 of file SerfParameter.cs.

◆ Copy()

override void MyCaffe.param.beta.SerfParameter.Copy ( LayerParameterBase  src)
virtual

Copy on parameter to another.

Parameters
srcSpecifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 70 of file SerfParameter.cs.

◆ FromProto()

static new SerfParameter MyCaffe.param.beta.SerfParameter.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 108 of file SerfParameter.cs.

◆ Load()

override object MyCaffe.param.beta.SerfParameter.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 58 of file SerfParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.beta.SerfParameter.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 90 of file SerfParameter.cs.

◆ useCaffeReason()

string MyCaffe.param.beta.SerfParameter.useCaffeReason ( )

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

Returns

Definition at line 29 of file SerfParameter.cs.

◆ useCudnn()

bool MyCaffe.param.beta.SerfParameter.useCudnn ( )

Queries whether or not to use NVIDIA's cuDnn.

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

Currently, only CAFFE supported.

Definition at line 39 of file SerfParameter.cs.

Property Documentation

◆ threshold

double MyCaffe.param.beta.SerfParameter.threshold
getset

Specifies the max threshold value used in exp functions.

See also
thomasbrandon/mish-cuda by thomasbrandon, 2019 MIT License.

Definition at line 51 of file SerfParameter.cs.


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