Specifies the parameters for the UnPoolingLayer. More...

Inheritance diagram for MyCaffe.param.beta.UnPoolingParameter:

Public Member Functions
	UnPoolingParameter ()
	Constructor for the parameter. More...

new string	useCaffeReason ()
	Returns the reason that Caffe version was used instead of NVIDIA's cuDnn. More...

new 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.PoolingParameter
	PoolingParameter ()
	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.KernelParameter
	KernelParameter ()
	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.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 UnPoolingParameter	FromProto (RawProto rp)
	Parses the parameter from a RawProto. More...

Static Public Member Functions inherited from MyCaffe.param.PoolingParameter
static new PoolingParameter	FromProto (RawProto rp)
	Parses the parameter from a RawProto. More...

Static Public Member Functions inherited from MyCaffe.param.KernelParameter
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 >	unpool_size `[getset]`
	UnPool size is given as a single value for equal dimensions in all spatial dimensions, or once per spatial dimension. More...

uint?	unpool_h `[getset]`
	The unpooling height override (2D only) More...

uint?	unpool_w `[getset]`
	The unpooling width override (2D only) More...

Properties inherited from MyCaffe.param.PoolingParameter
PoolingMethod	pool `[getset]`
	Specifies the pooling method. More...

bool	global_pooling `[getset]`
	Specifies whether or not to enable global pooling. More...

PoolingReshapeAlgorithm	reshape_algorithm `[getset]`
	Specifies the reshape algorithm to use, either the original Caffe reshape (default = false) or the new Onnx reshape algorithm (true). See remarks for the difference. More...

Properties inherited from MyCaffe.param.KernelParameter
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.PoolingParameter
enum	PoolingReshapeAlgorithm { DEFAULT , CAFFE , ONNX }
	Defines the pooling reshape algorithm to use. More...

enum	PoolingMethod { MAX = 0 , AVE = 1 , STOCHASTIC = 2 }
	Defines the pooling method. More...

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 parameters for the UnPoolingLayer.

See also: A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe by Volodymyr Turchenko, Eric Chalmers, Artur Luczak, 2017.; A guide to convolution arithmetic for deep learning by Vincent Dumoulin and Francesco Visin, 2016.; Learning Deep Features for Discriminative Localization by Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba, 2015.; Gradient-Based Learning Applied to Document Recognition by Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner, 1998.; Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation by Seunghoon Hong, Hyeonwoo Noh, and Bohyung Han, 2015.

Definition at line 22 of file UnPoolingParameter.cs.

Constructor & Destructor Documentation

◆ UnPoolingParameter()

MyCaffe.param.beta.UnPoolingParameter.UnPoolingParameter ( )

Constructor for the parameter.

Definition at line 29 of file UnPoolingParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.beta.UnPoolingParameter.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 133 of file UnPoolingParameter.cs.

◆ Copy()

override void MyCaffe.param.beta.UnPoolingParameter.Copy ( LayerParameterBase src )

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 115 of file UnPoolingParameter.cs.

◆ FromProto()

static new UnPoolingParameter MyCaffe.param.beta.UnPoolingParameter.FromProto ( RawProto rp )

static

Parses the parameter from a RawProto.

Parameters

rp	Specifies the RawProto to parse.

Returns: A new instance of the parameter is returned.

Definition at line 164 of file UnPoolingParameter.cs.

◆ Load()

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

Load the parameter from a binary reader.

Parameters

br	Specifies the binary reader.
bNewInstance	When 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 97 of file UnPoolingParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.beta.UnPoolingParameter.ToProto ( string strName )

virtual

Convert the parameter into a RawProto.

Parameters

strName Specifies the name to associate with the RawProto.

Returns: The new RawProto is returned.

Implements MyCaffe.basecode.BaseParameter.

Definition at line 145 of file UnPoolingParameter.cs.

◆ useCaffeReason()

new string MyCaffe.param.beta.UnPoolingParameter.useCaffeReason ( )

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

Returns

Definition at line 37 of file UnPoolingParameter.cs.

◆ useCudnn()

new bool MyCaffe.param.beta.UnPoolingParameter.useCudnn ( )

Queries whether or not to use NVIDIA's cuDnn.

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

Definition at line 46 of file UnPoolingParameter.cs.

Property Documentation

◆ unpool_h

uint? MyCaffe.param.beta.UnPoolingParameter.unpool_h

getset

The unpooling height override (2D only)

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

Definition at line 70 of file UnPoolingParameter.cs.

◆ unpool_size

List<uint> MyCaffe.param.beta.UnPoolingParameter.unpool_size

getset

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

Definition at line 56 of file UnPoolingParameter.cs.

◆ unpool_w

uint? MyCaffe.param.beta.UnPoolingParameter.unpool_w

getset

The unpooling width override (2D only)

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

Definition at line 84 of file UnPoolingParameter.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/param.beta/UnPoolingParameter.cs

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ UnPoolingParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

◆ useCaffeReason()

◆ useCudnn()

Property Documentation

◆ unpool_h

◆ unpool_size

◆ unpool_w