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

This layer produces N >= 1 top blobs. DummyDataParameter must specify 1 or shape fields, and 0, 1 or N data fillers. This layer is initialized with the ReLUParameter. More...

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

Public Member Functions

 DummyDataParameter ()
 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 DummyDataParameter 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 force_refill [getset]
 (optional, default = true) Specifies whether to force refill the data (even constant data) as opposed to only refilling once. More...
 
bool primary_data [getset]
 (optional, default = true) Specifies whether or not the data is the primary datset as opposed to a secondary, target dataset. More...
 
List< FillerParameterdata_filler [getset]
 If 0 data fillers are specified, ConstantFiller More...
 
List< BlobShapeshape [getset]
 Specifies the shape of the dummy data where: shape(0) = num shape(1) = channels shape(2) = height shape(3) = width More...
 
List< uint > num [getset]
 DEPRECIATED - 4D dimensions, use 'shape' instead. More...
 
List< uint > channels [getset]
 DEPRECIATED - 4D dimensions, use 'shape' instead. More...
 
List< uint > height [getset]
 >DEPRECIATED - 4D dimensions, use 'shape' instead. More...
 
List< uint > width [getset]
 DEPRECIATED - 4D dimensions, use 'shape' instead. 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

This layer produces N >= 1 top blobs. DummyDataParameter must specify 1 or shape fields, and 0, 1 or N data fillers. This layer is initialized with the ReLUParameter.

Definition at line 18 of file DummyDataParameter.cs.

Constructor & Destructor Documentation

◆ DummyDataParameter()

MyCaffe.param.DummyDataParameter.DummyDataParameter ( )

Constructor for the parameter.

Definition at line 30 of file DummyDataParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.DummyDataParameter.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 148 of file DummyDataParameter.cs.

◆ Copy()

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

Copy on parameter to another.

Parameters
srcSpecifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 134 of file DummyDataParameter.cs.

◆ FromProto()

static DummyDataParameter MyCaffe.param.DummyDataParameter.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 193 of file DummyDataParameter.cs.

◆ Load()

override object MyCaffe.param.DummyDataParameter.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 122 of file DummyDataParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.DummyDataParameter.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 160 of file DummyDataParameter.cs.

Property Documentation

◆ channels

List<uint> MyCaffe.param.DummyDataParameter.channels
getset

DEPRECIATED - 4D dimensions, use 'shape' instead.

Definition at line 95 of file DummyDataParameter.cs.

◆ data_filler

List<FillerParameter> MyCaffe.param.DummyDataParameter.data_filler
getset

If 0 data fillers are specified, ConstantFiller

Definition at line 61 of file DummyDataParameter.cs.

◆ force_refill

bool MyCaffe.param.DummyDataParameter.force_refill
getset

(optional, default = true) Specifies whether to force refill the data (even constant data) as opposed to only refilling once.

Given that the training and testing nets share memory, we have changed the default from false to true so that the values are refilled on every forward pass.

Definition at line 41 of file DummyDataParameter.cs.

◆ height

List<uint> MyCaffe.param.DummyDataParameter.height
getset

>DEPRECIATED - 4D dimensions, use 'shape' instead.

Definition at line 105 of file DummyDataParameter.cs.

◆ num

List<uint> MyCaffe.param.DummyDataParameter.num
getset

DEPRECIATED - 4D dimensions, use 'shape' instead.

Definition at line 85 of file DummyDataParameter.cs.

◆ primary_data

bool MyCaffe.param.DummyDataParameter.primary_data
getset

(optional, default = true) Specifies whether or not the data is the primary datset as opposed to a secondary, target dataset.

Definition at line 51 of file DummyDataParameter.cs.

◆ shape

List<BlobShape> MyCaffe.param.DummyDataParameter.shape
getset

Specifies the shape of the dummy data where: shape(0) = num shape(1) = channels shape(2) = height shape(3) = width

Definition at line 75 of file DummyDataParameter.cs.

◆ width

List<uint> MyCaffe.param.DummyDataParameter.width
getset

DEPRECIATED - 4D dimensions, use 'shape' instead.

Definition at line 115 of file DummyDataParameter.cs.


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