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

Specifies the basic kernel parameters (used by convolution and pooling) More...

Inheritance diagram for MyCaffe.param.KernelParameter:
MyCaffe.param.EngineParameter MyCaffe.param.LayerParameterBase MyCaffe.basecode.BaseParameter MyCaffe.basecode.IBinaryPersist MyCaffe.param.ConvolutionParameter MyCaffe.param.PoolingParameter MyCaffe.param.beta.UnPoolingParameter

Public Member Functions

 KernelParameter ()
 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.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 KernelParameter FromProto (RawProto rp)
 Parse a RawProto into a new instance of the parameter. 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

List< uint > pad [getset]
 Pad is given as a single value for equal dimensions in all spatial dimensions, or once per spatial dimension. More...
 
List< uint > stride [getset]
 Stride is given as a single value for equal dimensions in all spatial dimensions, or once per spatial dimension. More...
 
List< uint > kernel_size [getset]
 Kernel size is given as a single value for equal dimensions in all spatial dimensions, or once per spatial dimension. More...
 
List< uint > dilation [getset]
 Factor used to dilate the kernel, (implicitly) zero-filling the resulting holes. (Kernel dilation is sometimes referred to by its use in the algorithm 'a trous from Holschneider et al. 1987.) More...
 
uint? pad_h [getset]
 The padding height (2D only) More...
 
uint? pad_w [getset]
 The padding width (2D only) More...
 
uint? stride_h [getset]
 The stride height (2D only) More...
 
uint? stride_w [getset]
 The stride width (2D only) More...
 
uint? kernel_h [getset]
 The kernel height (2D only) More...
 
uint? kernel_w [getset]
 The kernel width (2D only) 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 basic kernel parameters (used by convolution and pooling)

Definition at line 16 of file KernelParameter.cs.

Constructor & Destructor Documentation

◆ KernelParameter()

MyCaffe.param.KernelParameter.KernelParameter ( )

Constructor for the parameter.

Definition at line 31 of file KernelParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.KernelParameter.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.

Reimplemented in MyCaffe.param.PoolingParameter.

Definition at line 205 of file KernelParameter.cs.

◆ Copy()

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

Copy on parameter to another.

Parameters
srcSpecifies the parameter to copy.

Reimplemented from MyCaffe.param.EngineParameter.

Reimplemented in MyCaffe.param.PoolingParameter.

Definition at line 184 of file KernelParameter.cs.

◆ FromProto()

static new KernelParameter MyCaffe.param.KernelParameter.FromProto ( RawProto  rp)
static

Parse a RawProto into a new instance of the parameter.

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

Definition at line 245 of file KernelParameter.cs.

◆ Load()

override object MyCaffe.param.KernelParameter.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 172 of file KernelParameter.cs.

◆ ToProto()

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

Convert the parameter into a RawProto.

Parameters
strNameSpecifies the base name for the raw proto.
Returns
The RawProto is returned.

Reimplemented from MyCaffe.param.EngineParameter.

Reimplemented in MyCaffe.param.PoolingParameter.

Definition at line 217 of file KernelParameter.cs.

Property Documentation

◆ dilation

List<uint> MyCaffe.param.KernelParameter.dilation
getset

Factor used to dilate the kernel, (implicitly) zero-filling the resulting holes. (Kernel dilation is sometimes referred to by its use in the algorithm 'a trous from Holschneider et al. 1987.)

Dilation is used by the MyCaffe.ConvolutionLayer and MyCaffe.Im2colLayer.

See also
A Real-Time Algorithm for Signal Analysis with the Help of the Wavelet Transform by Holschneider, et al., 1990.
Multi-Scale Context Aggregation by Dilated Convolutions by Yu, et al., 2015.
Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks by Haque, et al., 2017.

Definition at line 81 of file KernelParameter.cs.

◆ kernel_h

uint? MyCaffe.param.KernelParameter.kernel_h
getset

The kernel height (2D only)

For 2D only, the H and W versions may also be used to specify both spatial dimensions.

Definition at line 151 of file KernelParameter.cs.

◆ kernel_size

List<uint> MyCaffe.param.KernelParameter.kernel_size
getset

Kernel size is given as a single value for equal dimensions in all spatial dimensions, or once per spatial dimension.

Definition at line 62 of file KernelParameter.cs.

◆ kernel_w

uint? MyCaffe.param.KernelParameter.kernel_w
getset

The kernel width (2D only)

For 2D only, the H and W versions may also be used to specify both spatial dimensions.

Definition at line 165 of file KernelParameter.cs.

◆ pad

List<uint> MyCaffe.param.KernelParameter.pad
getset

Pad is given as a single value for equal dimensions in all spatial dimensions, or once per spatial dimension.

Definition at line 40 of file KernelParameter.cs.

◆ pad_h

uint? MyCaffe.param.KernelParameter.pad_h
getset

The padding height (2D only)

For 2D only, the H and W versions may also be used to specify both spatial dimensions.

Definition at line 95 of file KernelParameter.cs.

◆ pad_w

uint? MyCaffe.param.KernelParameter.pad_w
getset

The padding width (2D only)

For 2D only, the H and W versions may also be used to specify both spatial dimensions.

Definition at line 109 of file KernelParameter.cs.

◆ stride

List<uint> MyCaffe.param.KernelParameter.stride
getset

Stride is given as a single value for equal dimensions in all spatial dimensions, or once per spatial dimension.

Definition at line 51 of file KernelParameter.cs.

◆ stride_h

uint? MyCaffe.param.KernelParameter.stride_h
getset

The stride height (2D only)

For 2D only, the H and W versions may also be used to specify both spatial dimensions.

Definition at line 123 of file KernelParameter.cs.

◆ stride_w

uint? MyCaffe.param.KernelParameter.stride_w
getset

The stride width (2D only)

For 2D only, the H and W versions may also be used to specify both spatial dimensions.

Definition at line 137 of file KernelParameter.cs.


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