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

Stores the parameters used by the MishLayer More...

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

Public Member Functions

 MishParameter ()
 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 MishParameter 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...
 
int method [getset]
 Specifies the method used for backward computation, where method = 0 uses the default scalled method, and method = 1 uses the straight derivative method. 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 MishLayer

See also
Mish: A Self Regularized Non-Monotonic Neural Activation Function by Diganta Misra, 2019.
Meet Mish — New State of the Art AI Activation Function. The successor to ReLU? by Less Wright, 2019
Swish Vs Mish: Latest Activation Functions by Krutika Bapat, 2020

Definition at line 20 of file MishParameter.cs.

Constructor & Destructor Documentation

◆ MishParameter()

MyCaffe.param.beta.MishParameter.MishParameter ( )

Constructor for the parameter.

Definition at line 26 of file MishParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.beta.MishParameter.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 98 of file MishParameter.cs.

◆ Copy()

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

Copy on parameter to another.

Parameters
srcSpecifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 85 of file MishParameter.cs.

◆ FromProto()

static new MishParameter MyCaffe.param.beta.MishParameter.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 127 of file MishParameter.cs.

◆ Load()

override object MyCaffe.param.beta.MishParameter.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 73 of file MishParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.beta.MishParameter.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 106 of file MishParameter.cs.

◆ useCaffeReason()

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

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

Returns

Definition at line 35 of file MishParameter.cs.

◆ useCudnn()

bool MyCaffe.param.beta.MishParameter.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 45 of file MishParameter.cs.

Property Documentation

◆ method

int MyCaffe.param.beta.MishParameter.method
getset

Specifies the method used for backward computation, where method = 0 uses the default scalled method, and method = 1 uses the straight derivative method.

Definition at line 66 of file MishParameter.cs.

◆ threshold

double MyCaffe.param.beta.MishParameter.threshold
getset

Specifies the max threshold value used in exp functions.

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

Definition at line 57 of file MishParameter.cs.


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