Specifies the parameters for the CausalSelfAttentionLayer. More...

Inheritance diagram for MyCaffe.param.gpt.CausalSelfAttentionParameter:

Public Member Functions
	CausalSelfAttentionParameter ()
	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 CausalSelfAttentionParameter	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
uint	layers `[getset]`
	The number of layers (transformer blocks) used. More...

uint	heads `[getset]`
	The number of heads used. More...

uint	embed `[getset]`
	Specifies size of the embed. More...

uint	block_size `[getset]`
	Specifies size of the block. More...

double	attn_dropout `[getset]`
	Specifies dropout probability used on the attention weights. More...

double	resid_dropout `[getset]`
	Specifies dropout probability used on the residual weights. 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

Specifies the parameters for the CausalSelfAttentionLayer.

Definition at line 15 of file CausalSelfAttentionParameter.cs.

Constructor & Destructor Documentation

◆ CausalSelfAttentionParameter()

MyCaffe.param.gpt.CausalSelfAttentionParameter.CausalSelfAttentionParameter ( )

Constructor for the parameter.

Definition at line 25 of file CausalSelfAttentionParameter.cs.

Member Function Documentation

◆ Clone()

override LayerParameterBase MyCaffe.param.gpt.CausalSelfAttentionParameter.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 111 of file CausalSelfAttentionParameter.cs.

◆ Copy()

override void MyCaffe.param.gpt.CausalSelfAttentionParameter.Copy ( LayerParameterBase src )

virtual

Copy on parameter to another.

Parameters

src	Specifies the parameter to copy.

Implements MyCaffe.param.LayerParameterBase.

Definition at line 98 of file CausalSelfAttentionParameter.cs.

◆ FromProto()

static CausalSelfAttentionParameter MyCaffe.param.gpt.CausalSelfAttentionParameter.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 142 of file CausalSelfAttentionParameter.cs.

◆ Load()

override object MyCaffe.param.gpt.CausalSelfAttentionParameter.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 86 of file CausalSelfAttentionParameter.cs.

◆ ToProto()

override RawProto MyCaffe.param.gpt.CausalSelfAttentionParameter.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 123 of file CausalSelfAttentionParameter.cs.

Property Documentation

◆ attn_dropout

double MyCaffe.param.gpt.CausalSelfAttentionParameter.attn_dropout

getset

Specifies dropout probability used on the attention weights.

Definition at line 70 of file CausalSelfAttentionParameter.cs.

◆ block_size

uint MyCaffe.param.gpt.CausalSelfAttentionParameter.block_size

getset

Specifies size of the block.

Definition at line 61 of file CausalSelfAttentionParameter.cs.

◆ embed

uint MyCaffe.param.gpt.CausalSelfAttentionParameter.embed

getset

Specifies size of the embed.

Definition at line 52 of file CausalSelfAttentionParameter.cs.

◆ heads

uint MyCaffe.param.gpt.CausalSelfAttentionParameter.heads

getset

The number of heads used.

Definition at line 43 of file CausalSelfAttentionParameter.cs.

◆ layers

uint MyCaffe.param.gpt.CausalSelfAttentionParameter.layers

getset

The number of layers (transformer blocks) used.

Definition at line 33 of file CausalSelfAttentionParameter.cs.

◆ resid_dropout

double MyCaffe.param.gpt.CausalSelfAttentionParameter.resid_dropout

getset

Specifies dropout probability used on the residual weights.

Definition at line 79 of file CausalSelfAttentionParameter.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/param.gpt/CausalSelfAttentionParameter.cs

Public Member Functions

Static Public Member Functions

Properties

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ CausalSelfAttentionParameter()

Member Function Documentation

◆ Clone()

◆ Copy()

◆ FromProto()

◆ Load()

◆ ToProto()

Property Documentation

◆ attn_dropout

◆ block_size

◆ embed

◆ heads

◆ layers

◆ resid_dropout