The MemoryDataLayer provides data to the Net from memory. This layer is initialized with the MyCaffe.param.MemoryDataParameter. More...

Inheritance diagram for MyCaffe.layers.MemoryDataLayer< T >:

Public Member Functions
	MemoryDataLayer (CudaDnn< T > cuda, Log log, LayerParameter p)
	The BaseDataLayer constructor. More...

override void	Reshape (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	Reshape the internal data and outputs. More...

virtual void	AddDatum (SimpleDatum sd, int nLblAxis=1, bool bReset=false, bool bResizeBatch=false)
	This method is used to add a single Datum to the memory. More...

virtual void	AddDatumVector (Datum[] rgData, Datum[] rgClip=null, int nLblAxis=1, bool bReset=false, bool bResizeBatch=false)
	This method is used to add a list of Datums to the memory. More...

virtual void	AddDatumVector (List< Datum > rgData, List< Datum > rgClip=null, int nLblAxis=1, bool bReset=false, bool bResizeBatch=false)
	This method is used to add a list of Datums to the memory. More...

void	Reset (Blob< T > data, Blob< T > labels, int n)
	Resets the data by copying the internal data to the parameters specified. More...

void	Copy (MemoryDataLayer< T > src)
	Copy the data by copying the src alyer data and label to the parameters specified. More...

Public Member Functions inherited from MyCaffe.layers.BaseDataLayer< T >
	BaseDataLayer (CudaDnn< T > cuda, Log log, LayerParameter p, IXDatabaseBase db)
	The BaseDataLayer constructor. More...

override void	LayerSetUp (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	Implements common data layer setup functionality, and calls DataLayerSetUp to do special data layer setup for individual layer types. More...

Public Member Functions inherited from MyCaffe.layers.Layer< T >
	Layer (CudaDnn< T > cuda, Log log, LayerParameter p)
	The Layer constructor. More...

void	Dispose ()
	Releases all GPU and host resources used by the Layer. More...

virtual void	ConnectLoss (LossLayer< T > layer)
	Called to connect the loss OnLoss event to a specified layer (typically the data layer). More...

virtual BlobCollection< T >	PreProcessInput (PropertySet customInput, out int nSeqLen, BlobCollection< T > colBottom=null)
	The PreprocessInput allows derivative data layers to convert a property set of input data into the bottom blob collection used as intput. More...

virtual bool	PreProcessInput (string strEncInput, int? nDecInput, BlobCollection< T > colBottom)
	Preprocess the input data for the RUN phase. More...

virtual List< Tuple< string, int, double > >	PostProcessOutput (Blob< T > blobSofmtax, int nK=1)
	The PostProcessOutput allows derivative data layers to post-process the results, converting them back into text results (e.g., detokenizing). More...

virtual List< Tuple< string, int, double > >	PostProcessLogitsOutput (int nCurIdx, Blob< T > blobLogits, Layer< T > softmax, int nAxis, int nK=1)
	The PostProcessLogitsOutput allows derivative data layers to post-process the results, converting them back into text results (e.g., detokenizing). More...

virtual string	PostProcessFullOutput (Blob< T > blobSoftmax)
	The PostProcessFullOutput allows derivative data layers to post-process the results, usually be detokenizing the data in the blobSoftmax. More...

virtual string	PostProcessOutput (int nIdx)
	Convert the index to the word. More...

virtual void	SetOnDebug (EventHandler< GetWorkBlobArgs< T > > fn)
	Set the OnDebug event. More...

virtual void	ResetOnDebug (EventHandler< GetWorkBlobArgs< T > > fn)
	Reset the OnDebug event, disabling it. More...

virtual bool	ReInitializeParameters (WEIGHT_TARGET target)
	Re-initialize the parameters of the layer. More...

void	SetNetReshapeRequest ()
	Called by the Net when requesting a reshape. More...

void	SetPhase (Phase phase)
	Changes the layer's Phase to the one specified. More...

void	Setup (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	Implements common Layer setup functionality. More...

virtual void	SetNetParameterUsed (NetParameter np)
	This function allows other layers to gather needed information from the NetParameters if any, and is called when initialzing the Net. More...

void	ConvertToBase (BlobCollection< T > col)
	ConvertToBase converts any blobs in a collection that are in half size to the base size. More...

double	Forward (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	Given the bottom (input) Blobs, this function computes the top (output) Blobs and the loss. More...

void	Backward (BlobCollection< T > colTop, List< bool > rgbPropagateDown, BlobCollection< T > colBottom)
	Given the top Blob error gradients, compute the bottom Blob error gradients. More...

double	loss (int nTopIdx)
	Returns the scalar loss associated with the top Blob at a given index. More...

void	set_loss (int nTopIdx, double dfLoss)
	Sets the loss associated with a top Blob at a given index. More...

virtual bool	AllowForceBackward (int nBottomIdx)
	Return whether to allow More...

bool	param_propagate_down (int nParamIdx)
	Returns whether or not the Layer should compute gradients w.r.t. a parameter at a particular index given by a parameter index. More...

void	set_param_propagate_down (int nParamIdx, bool bPropagate)
	Sets whether or not the Layer should compute gradients w.r.t. a parameter at a particular index given by a parameter index. More...

void	SetEnablePassthrough (bool bEnable)
	Enables/disables the pass-through mode. More...

Protected Member Functions
override void	dispose ()
	Releases all GPU and host resources used by the Layer. More...

override void	DataLayerSetUp (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	Setup the MemoryDataLayer. More...

override void	forward (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	The forward computation which loads the data into the top (output) Blobs. More...

Protected Member Functions inherited from MyCaffe.layers.BaseDataLayer< T >
virtual bool	setupSourceDescriptor ()
	Allows any derivative classes to pre-initialize the m_src which is used in LayerSetup before the DataLayerSetup. More...

override void	backward (BlobCollection< T > colTop, List< bool > rgbPropagateDown, BlobCollection< T > colBottom)
	Not implemented - data Layers do not perform backward. More...

Protected Member Functions inherited from MyCaffe.layers.Layer< T >
void	dispose (ref Layer< T > l)
	Helper method used to dispose internal layers. More...

void	dispose (ref Blob< T > b)
	Helper method used to dispose internal blobs. More...

void	dispose (ref BlobCollection< T > rg, bool bSetToNull=true)
	Dispose the blob collection. More...

GetIterationArgs	getCurrentIteration ()
	Fires the OnGetIteration event to query the current iteration. More...

long	convert_to_full (int nCount, long hMem)
	Convert half memory to full memory. More...

void	convert (BlobCollection< T > col)
	Convert a collection of blobs from / to half size. More...

virtual bool	reshapeNeeded (BlobCollection< T > colBottom, BlobCollection< T > colTop, bool bReset=true)
	Tests the shapes of both the bottom and top blobs and if they are the same as the previous sizing, returns false indicating that no reshape is needed. More...

bool	compareShapes (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	Compare the shapes of the top and bottom and if the same, return true, otherwise false. More...

void	setShapes (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	Set the internal shape sizes - used when determining if a Reshape is necessary. More...

virtual void	setup_internal_blobs (BlobCollection< T > col)
	Derivative layers should add all internal blobws to the 'col' provided. More...

void	CheckBlobCounts (BlobCollection< T > colBottom, BlobCollection< T > colTop)
	Called by the Layer::Setup function to check the number of bottom (input) and top (output) Blobs provided match the expected number of blobs expected via the {EactNum,Min,Max}{Bottom,Top}Blobs functions. More...

void	SetLossWeights (BlobCollection< T > colTop)
	Called by Layer::Setup to initialize the weights associated with any top (output) Blobs in the loss function ans store non-zero loss weights in the diff Blob. More...

LayerParameter	convertLayerParam (LayerParameter pChild, LayerParameter pParent)
	Called to convert a parent LayerParameterEx, used in blob sharing, with a child layer parameter. More...

bool	shareParameter (Blob< T > b, List< int > rgMinShape, bool bAllowEndsWithComparison=false)
	Attempts to share a parameter Blob if another parameter Blob with the same name and accpetable size is found. More...

bool	shareLayerBlob (Blob< T > b, List< int > rgMinShape)
	Attempts to share a Layer Blob if another parameter Blob with the same name and acceptable size is found. More...

bool	shareLayerBlobs (Layer< T > layer)
	Attempts to share the Layer blobs and internal_blobs with matching names and sizes with those in another matching layer. More...

virtual WorkspaceArgs	getWorkspace ()
	Returns the WorkspaceArgs used to share a workspace between Layers. More...

virtual bool	setWorkspace (ulong lSizeInBytes)
	Sets the workspace size (in items) and returns true if set, false otherwise. More...

void	check_nan (Blob< T > b)
	Checks a Blob for NaNs and throws an exception if found. More...

T	convert (double df)
	Converts a double to a generic. More...

T	convert (float f)
	Converts a float to a generic. More...

double	convertD (T df)
	Converts a generic to a double value. More...

float	convertF (T df)
	Converts a generic to a float value. More...

double[]	convertD (T[] rg)
	Converts an array of generic values into an array of double values. More...

T[]	convert (double[] rg)
	Converts an array of double values into an array of generic values. More...

float[]	convertF (T[] rg)
	Converts an array of float values into an array of generic values. More...

T[]	convert (float[] rg)
	Converts an array of float values into an array of generic values. More...

int	val_at (T[] rg, int nIdx)
	Returns the integer value at a given index in a generic array. More...

Size	size_at (Blob< T > b)
	Returns the Size of a given two element Blob, such as one that stores Blob size information. More...

Properties
override int	ExactNumBottomBlobs `[get]`
	No bottom blobs are used by this layer. More...

override int	ExactNumTopBlobs `[get]`
	Returns the exact number of required top (output) Blobs. More...

override int	MinTopBlobs `[get]`
	Returns the minimum number of top blobs: data More...

override int	MaxTopBlobs `[get]`
	Returns the maximum number of top blobs: data, clip, label More...

int	batch_size `[getset]`
	Returns the batch size. More...

int	channels `[get]`
	Returns the data channels. More...

int	height `[get]`
	Returns the data height. More...

int	width `[get]`
	Returns the data width. More...

int	clip_size1 `[get]`
	Returns the clip 1 size, if any exists. More...

int	clip_size2 `[get]`
	Returns the clip 2 size, if any exists. More...

Properties inherited from MyCaffe.layers.BaseDataLayer< T >
SimpleDatum	ImageMean `[getset]`
	Get/set the image mean. More...

DataTransformer< T >	Transformer `[get]`
	Returns the data transformer used. More...

Properties inherited from MyCaffe.layers.Layer< T >
LayerParameter.? LayerType	parent_layer_type `[get]`
	Optionally, specifies the parent layer type (e.g. LOSS, etc.) More...

virtual bool	SupportsPreProcessing `[get]`
	Should return true when PreProcessing methods are overriden. More...

virtual bool	SupportsPostProcessing `[get]`
	Should return true when pre PostProcessing methods are overriden. More...

virtual bool	SupportsPostProcessingLogits `[get]`
	Should return true when pre PostProcessingLogits methods are overriden. More...

virtual bool	SupportsPostProcessingFullOutput `[get]`
	Should return true when PostProcessingFullOutput is supported. More...

BlobCollection< T >	blobs `[get]`
	Returns the collection of learnable parameter Blobs for the Layer. More...

BlobCollection< T >	internal_blobs `[get]`
	Returns the collection of internal Blobs used by the Layer. More...

LayerParameter	layer_param `[get]`
	Returns the LayerParameter for this Layer. More...

LayerParameter.LayerType	type `[get]`
	Returns the LayerType of this Layer. More...

virtual int	ExactNumBottomBlobs `[get]`
	Returns the exact number of bottom (input) Blobs required by the Layer, or -1 if no exact number is required. More...

virtual int	MinBottomBlobs `[get]`
	Returns the minimum number of bottom (input) Blobs required by the Layer, or -1 if no minimum number is required. More...

virtual int	MaxBottomBlobs `[get]`
	Returns the maximum number of bottom (input) Blobs required by the Layer, or -1 if no maximum number is required. More...

virtual int	ExactNumTopBlobs `[get]`
	Returns the exact number of top (output) Blobs required by the Layer, or -1 if no exact number is required. More...

virtual int	MinTopBlobs `[get]`
	Returns the minimum number of top (output) Blobs required by the Layer, or -1 if no minimum number is required. More...

virtual int	MaxTopBlobs `[get]`
	Returns the maximum number of top (output) Blobs required by the Layer, or -1 if no maximum number is required. More...

virtual bool	EqualNumBottomTopBlobs `[get]`
	Returns true if the Layer requires and equal number of bottom (input) and top (output) Blobs. More...

virtual bool	AutoTopBlobs `[get]`
	Return whether "anonymous" top (output) Blobs are created automatically by the Layer. More...

double	forward_timing `[get]`
	Returns the timing of the last forward pass in milliseconds. More...

double	forward_timing_average `[get]`
	Returns the average timing of the forward passes in milliseconds. More...

double	backward_timing `[get]`
	Returns the timing of the last backward pass in milliseconds. More...

double	backward_timing_average `[get]`
	Returns the average timing of the backward passes in milliseconds. More...

Events
EventHandler< MemoryDataLayerGetDataArgs >	OnGetData
	The OnGetData event fires on the DataLayerSetup call and each time the data wraps around (e.g. all data as already fed through) during the forward call. More...

EventHandler< MemoryDataLayerPackDataArgs< T > >	OnDataPack
	The OnDataPack event fires from within the AddDatumVector method and is used to pack the data into a specific ordering needed by the layers connected downstream of the MemoryDataLayer, such as an LSTM layer. More...

Events inherited from MyCaffe.layers.Layer< T >
EventHandler< WorkspaceArgs >	OnGetWorkspace
	Specifies the OnGetWorkspace event that fires when the getWorkspace() function is called by a layer to get a shareable workspace to conserve GPU memory. More...

EventHandler< WorkspaceArgs >	OnSetWorkspace
	Specifies the OnSetWorkspace event that fires when the setWorkspace() function is called by a layer to get a shareable workspace to conserve GPU memory. More...

EventHandler< GetIterationArgs >	OnGetIteration
	Specifies the OnGetIteration event that fires when a layer needs to get the current iteration from the solver. More...

EventHandler< GetWorkBlobArgs< T > >	OnDebug
	Specifies the OnGetWorkBlob event that is only supported when debugging to get a work blob from the primary Net holding this layer. More...

Additional Inherited Members
Static Public Member Functions inherited from MyCaffe.layers.Layer< T >
static Layer< T >	Create (CudaDnn< T > cuda, Log log, LayerParameter p, CancelEvent evtCancel, IXDatabaseBase db=null, TransferInput trxinput=null)
	Create a new Layer based on the LayerParameter. More...

Protected Attributes inherited from MyCaffe.layers.BaseDataLayer< T >
DataTransformer< T >	m_transformer
	Specifies the DataTransformer used to transform each data item as it loaded. More...

bool	m_bOutputLabels
	Specifies whether or not the Layer should output labels. More...

IXImageDatabaseBase	m_imgdb
	Specifies the MyCaffeImageDatabase. More...

SourceDescriptor	m_src
	Specifies the SourceDescriptor of the data source. More...

SimpleDatum	m_imgMean = null
	Specifies the SimpleDatum that optionally contains the image Mean for data centering. More...

Protected Attributes inherited from MyCaffe.layers.Layer< T >
LayerParameter.LayerType	m_type = LayerParameter.LayerType._MAX
	Specifies the Layer type. More...

CudaDnn< T >	m_cuda
	Specifies the CudaDnn connection to Cuda. More...

Log	m_log
	Specifies the Log for output. More...

LayerParameter	m_param
	Specifies the LayerParameter describing the Layer. More...

Phase	m_phase
	Specifies the Phase under which the Layer is run. More...

BlobCollection< T >	m_colBlobs
	Specifies the learnable parameter Blobs of the Layer. More...

BlobCollection< T >	m_colInternalBlobs = new BlobCollection<T>()
	Specifies internal blobs used by the layer. More...

DictionaryMap< bool >	m_rgbParamPropagateDown
	Specifies whether or not to compute the learnable diff of each parameter Blob. More...

DictionaryMap< double >	m_rgLoss
	Specifies the loss values that indeicate whether each top (output) Blob has a non-zero weight in the objective function.. More...

T	m_tOne
	Specifies a generic type equal to 1.0. More...

T	m_tZero
	Specifies a generic type equal to 0.0. More...

bool	m_bEnablePassthrough = false
	Enables/disables the pass-through mode for the layer. Default = false. More...

bool	m_bUseHalfSize = false
	Specifies that the half size of the top (if any) should be converted to the base size. More...

bool	m_bConvertTopOnFwd = false
	Specifies whether or not the layer should convert the top on the forward pass when using half sized memory (typically only done with input data). More...

bool	m_bConvertTopOnBwd = true
	Specifies whether or not to convert the top on the backward pass when using half sized memory (typically not done on loss layers). More...

bool	m_bConvertBottom = true
	Specifies whether or not the layer should convert the bottom when using half sized memory. More...

bool	m_bReshapeOnForwardNeeded = true
	Specifies whether or not the reshape on forward is needed or not. More...

bool	m_bNetReshapeRequest = false
	Specifies whether the reshape is requested from a Net.Reshape call or not. More...

LayerParameter.? LayerType	m_parentLayerType = null
	Specifies the layer type of the parent. More...

Detailed Description

The MemoryDataLayer provides data to the Net from memory. This layer is initialized with the MyCaffe.param.MemoryDataParameter.

Template Parameters

T	Specifies the base type float or double. Using float is recommended to conserve GPU memory.

Definition at line 20 of file MemoryDataLayer.cs.

Constructor & Destructor Documentation

◆ MemoryDataLayer()

MyCaffe.layers.MemoryDataLayer< T >.MemoryDataLayer	(	CudaDnn< T >	cuda,
		Log	log,
		LayerParameter	p
	)

The BaseDataLayer constructor.

Parameters

cuda	Specifies the CudaDnn connection to Cuda.
log	Specifies the Log for output.
p	Specifies the LayerParameter of type MEMORYDATA with memorydata_param options: batch_size. The batch size of the data. channels. The number of channels in the data. height. The height of the data. width. The width of the data.

Definition at line 66 of file MemoryDataLayer.cs.

Member Function Documentation

◆ AddDatum()

virtual void MyCaffe.layers.MemoryDataLayer< T >.AddDatum	(	SimpleDatum	sd,
		int	nLblAxis = `1`,
		bool	bReset = `false`,
		bool	bResizeBatch = `false`
	)

virtual

This method is used to add a single Datum to the memory.

Parameters

sd	The Data Datum to add.
nLblAxis	Optionally, specifies the axis on which the multi-label data is placed. This field is not used on SINGLE label types.
bReset	Optionally, specifies to force reset the internal data.
bResizeBatch	Optionally, specifies whether or not to size the batch to the number of rgData.

Definition at line 259 of file MemoryDataLayer.cs.

◆ AddDatumVector() [1/2]

virtual void MyCaffe.layers.MemoryDataLayer< T >.AddDatumVector	(	Datum[]	rgData,
		Datum[]	rgClip = `null`,
		int	nLblAxis = `1`,
		bool	bReset = `false`,
		bool	bResizeBatch = `false`
	)

virtual

This method is used to add a list of Datums to the memory.

Parameters

rgData	The list of Data Datums to add.
rgClip	Optionally, specifies the clip data, if any exits.
nLblAxis	Optionally, specifies the axis on which the multi-label data is placed. This field is not used on SINGLE label types.
bReset	Optionally, specifies to force reset the internal data.
bResizeBatch	Optionally, specifies whether or not to size the batch to the number of rgData.

The batch size is only resized when the clip data is null, otherwise, regardless of the 'bResizeBatch' setting, the batch size is not changed.

Definition at line 276 of file MemoryDataLayer.cs.

◆ AddDatumVector() [2/2]

virtual void MyCaffe.layers.MemoryDataLayer< T >.AddDatumVector	(	List< Datum >	rgData,
		List< Datum >	rgClip = `null`,
		int	nLblAxis = `1`,
		bool	bReset = `false`,
		bool	bResizeBatch = `false`
	)

virtual

This method is used to add a list of Datums to the memory.

Parameters

rgData	The list of Data Datums to add.
rgClip	Optionally, specifies the clip data, if any exits.
nLblAxis	Optionally, specifies the axis on which the multi-label data is placed. This field is not used on SINGLE label types.
bReset	Optionally, specifies to force reset the internal data.
bResizeBatch	Optionally, specifies whether or not to size the batch to the number of rgData.

The batch size is only resized when the clip data is null, otherwise, regardless of the 'bResizeBatch' setting, the batch size is not changed.

Definition at line 291 of file MemoryDataLayer.cs.

◆ Copy()

void MyCaffe.layers.MemoryDataLayer< T >.Copy ( MemoryDataLayer< T > src )

Copy the data by copying the src alyer data and label to the parameters specified.

Parameters

src	Specifies the source layer.

Definition at line 430 of file MemoryDataLayer.cs.

◆ DataLayerSetUp()

override void MyCaffe.layers.MemoryDataLayer< T >.DataLayerSetUp	(	BlobCollection< T >	colBottom,
		BlobCollection< T >	colTop
	)

protectedvirtual

Setup the MemoryDataLayer.

Parameters

colBottom	Not used.
colTop	Specifies the collection of top (output) Blobs.

Implements MyCaffe.layers.BaseDataLayer< T >.

Definition at line 87 of file MemoryDataLayer.cs.

◆ dispose()

override void MyCaffe.layers.MemoryDataLayer< T >.dispose ( )

protectedvirtual

Releases all GPU and host resources used by the Layer.

Reimplemented from MyCaffe.layers.BaseDataLayer< T >.

Definition at line 77 of file MemoryDataLayer.cs.

◆ forward()

override void MyCaffe.layers.MemoryDataLayer< T >.forward	(	BlobCollection< T >	colBottom,
		BlobCollection< T >	colTop
	)

protectedvirtual

The forward computation which loads the data into the top (output) Blobs.

Parameters

colBottom	Not used.
colTop	top output blob vector (length 1) $(N \times C \times H \times W)$ The data.

Implements MyCaffe.layers.Layer< T >.

Definition at line 513 of file MemoryDataLayer.cs.

◆ Reset()

void MyCaffe.layers.MemoryDataLayer< T >.Reset	(	Blob< T >	data,
		Blob< T >	labels,
		int	n
	)

Resets the data by copying the internal data to the parameters specified.

Parameters

data	Specifies the data Blob that will receive a copy of the internal data.
labels	Specifies the label Blob that will receive a copy of the internal lables.
n	Specifies the number runs to perform on each batch.

Definition at line 409 of file MemoryDataLayer.cs.

◆ Reshape()

override void MyCaffe.layers.MemoryDataLayer< T >.Reshape	(	BlobCollection< T >	colBottom,
		BlobCollection< T >	colTop
	)

virtual

Reshape the internal data and outputs.

Parameters

colBottom	Specifies the inputs.
colTop	Specifies teh outputs.

Reimplemented from MyCaffe.layers.BaseDataLayer< T >.

Definition at line 192 of file MemoryDataLayer.cs.

Property Documentation

◆ batch_size

int MyCaffe.layers.MemoryDataLayer< T >.batch_size

getset

Returns the batch size.

Definition at line 455 of file MemoryDataLayer.cs.

◆ channels

int MyCaffe.layers.MemoryDataLayer< T >.channels

get

Returns the data channels.

Definition at line 468 of file MemoryDataLayer.cs.

◆ clip_size1

int MyCaffe.layers.MemoryDataLayer< T >.clip_size1

get

Returns the clip 1 size, if any exists.

Definition at line 492 of file MemoryDataLayer.cs.

◆ clip_size2

int MyCaffe.layers.MemoryDataLayer< T >.clip_size2

get

Returns the clip 2 size, if any exists.

Definition at line 500 of file MemoryDataLayer.cs.

◆ ExactNumBottomBlobs

override int MyCaffe.layers.MemoryDataLayer< T >.ExactNumBottomBlobs

get

No bottom blobs are used by this layer.

Definition at line 223 of file MemoryDataLayer.cs.

◆ ExactNumTopBlobs

override int MyCaffe.layers.MemoryDataLayer< T >.ExactNumTopBlobs

get

Returns the exact number of required top (output) Blobs.

Definition at line 231 of file MemoryDataLayer.cs.

◆ height

int MyCaffe.layers.MemoryDataLayer< T >.height

get

Returns the data height.

Definition at line 476 of file MemoryDataLayer.cs.

◆ MaxTopBlobs

override int MyCaffe.layers.MemoryDataLayer< T >.MaxTopBlobs

get

Returns the maximum number of top blobs: data, clip, label

Definition at line 247 of file MemoryDataLayer.cs.

◆ MinTopBlobs

override int MyCaffe.layers.MemoryDataLayer< T >.MinTopBlobs

get

Returns the minimum number of top blobs: data

Definition at line 239 of file MemoryDataLayer.cs.

◆ width

int MyCaffe.layers.MemoryDataLayer< T >.width

get

Returns the data width.

Definition at line 484 of file MemoryDataLayer.cs.

Event Documentation

◆ OnDataPack

EventHandler<MemoryDataLayerPackDataArgs<T> > MyCaffe.layers.MemoryDataLayer< T >.OnDataPack

The OnDataPack event fires from within the AddDatumVector method and is used to pack the data into a specific ordering needed by the layers connected downstream of the MemoryDataLayer, such as an LSTM layer.

Definition at line 50 of file MemoryDataLayer.cs.

◆ OnGetData

EventHandler<MemoryDataLayerGetDataArgs> MyCaffe.layers.MemoryDataLayer< T >.OnGetData

The OnGetData event fires on the DataLayerSetup call and each time the data wraps around (e.g. all data as already fed through) during the forward call.

Definition at line 45 of file MemoryDataLayer.cs.

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

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/layers/MemoryDataLayer.cs

Public Member Functions

Protected Member Functions

Properties

Events

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ MemoryDataLayer()

Member Function Documentation

◆ AddDatum()

◆ AddDatumVector() [1/2]

◆ AddDatumVector() [2/2]

◆ Copy()

◆ DataLayerSetUp()

◆ dispose()

◆ forward()

◆ Reset()

◆ Reshape()

Property Documentation

◆ batch_size

◆ channels

◆ clip_size1

◆ clip_size2

◆ ExactNumBottomBlobs

◆ ExactNumTopBlobs

◆ height

◆ MaxTopBlobs

◆ MinTopBlobs

◆ width

Event Documentation

◆ OnDataPack

◆ OnGetData