Package deepboof.impl.forward.standard

Class SpatialMaxPooling_F32

java.lang.Object

deepboof.impl.forward.standard.BaseFunction<T>

deepboof.impl.forward.standard.BaseSpatialWindow<T,VT>

deepboof.impl.forward.standard.SpatialWindowChannel<Tensor_F32,SpatialPadding2D_F32>

deepboof.impl.forward.standard.SpatialMaxPooling_F32

All Implemented Interfaces:

SpatialMaxPooling<Tensor_F32>, SpatialPooling<Tensor_F32>, Function<Tensor_F32>

public class SpatialMaxPooling_F32
extends SpatialWindowChannel<Tensor_F32,SpatialPadding2D_F32>
implements SpatialMaxPooling<Tensor_F32>

Implementation of SpatialMaxPooling for Tensor_F32.

Field Summary

Fields inherited from class deepboof.impl.forward.standard.SpatialWindowChannel

output

Fields inherited from class deepboof.impl.forward.standard.BaseSpatialWindow

C, config, H, HH, Ho, Hp, N, padding, W, Wo, Wp, WW

Fields inherited from class deepboof.impl.forward.standard.BaseFunction

miniBatchSize, parameters, shapeInput, shapeOutput, shapeParameters

Constructor Summary

Constructors

Constructor	Description
SpatialMaxPooling_F32(ConfigSpatial config, SpatialPadding2D_F32 padding)

Method Summary

Modifier and Type	Method	Description
void	_forward(Tensor_F32 input, Tensor_F32 output)
void	_initialize()
void	_setParameters(java.util.List<Tensor_F32> parameters)
protected void	forwardAt_border(SpatialPadding2D_F32 padded, int batch, int channel, int padY, int padX, int outY, int outX)	Applies the operations at the specified window and stores the results at the specified output coordinate.
protected void	forwardAt_inner(Tensor_F32 input, int batch, int channel, int inY, int inX, int outY, int outX)	Applies the operations at the specified window and stores the results at the specified output coordinate.
ConfigSpatial	getConfiguration()	Returns pooling configuration
java.lang.Class<Tensor_F32>	getTensorType()	Returns the type of tensor it can process

Methods inherited from class deepboof.impl.forward.standard.SpatialWindowChannel

forwardChannel

Methods inherited from class deepboof.impl.forward.standard.BaseSpatialWindow

getPadding, innerLowerExtent, innerUpperExtent, isEntirelyBorder

Methods inherited from class deepboof.impl.forward.standard.BaseFunction

forward, getOutputShape, getParameters, getParameterShapes, initialize, setParameters

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface deepboof.Function

getOutputShape, getParameters, getParameterShapes, initialize

Methods inherited from interface deepboof.forward.SpatialPooling

forward, setParameters

Constructor Details

SpatialMaxPooling_F32

public SpatialMaxPooling_F32(ConfigSpatial config, SpatialPadding2D_F32 padding)

Method Details

_initialize

public void _initialize()

Overrides:

_initialize in class BaseSpatialWindow<Tensor_F32,SpatialPadding2D_F32>

_setParameters

public void _setParameters(java.util.List<Tensor_F32> parameters)

Specified by:

_setParameters in class BaseFunction<Tensor_F32>

_forward

public void _forward(Tensor_F32 input, Tensor_F32 output)

Specified by:

_forward in class BaseFunction<Tensor_F32>

forwardAt_inner

protected void forwardAt_inner(Tensor_F32 input, int batch, int channel, int inY, int inX, int outY, int outX)

Description copied from class: SpatialWindowChannel

Applies the operations at the specified window and stores the results at the specified output coordinate.

Specified by:

forwardAt_inner in class SpatialWindowChannel<Tensor_F32,SpatialPadding2D_F32>

Parameters:

input - Input spatial tensor

batch - Index of input in mini-batch that is being processed

channel - Channel

inY - y-axis lower extent, in input coordinates

inX - x-axis lower extent, in input coordinates

outY - y-axis output coordinates

outX - x-axis output coordinates

forwardAt_border

protected void forwardAt_border(SpatialPadding2D_F32 padded, int batch, int channel, int padY, int padX, int outY, int outX)

Description copied from class: SpatialWindowChannel

Applies the operations at the specified window and stores the results at the specified output coordinate. For virtual tensor

Specified by:

forwardAt_border in class SpatialWindowChannel<Tensor_F32,SpatialPadding2D_F32>

Parameters:

padded - Input spatial virtual tensor

batch - Index of input in mini-batch that is being processed

channel - Channel

padY - y-axis lower extent, in padded coordinates

padX - x-axis lower extent, in padded coordinates

outY - y-axis output coordinates

outX - x-axis output coordinates

getTensorType

public java.lang.Class<Tensor_F32> getTensorType()

Description copied from interface: Function

Returns the type of tensor it can process

Specified by:

getTensorType in interface Function<Tensor_F32>

Returns:

Type of tensor

getConfiguration

public ConfigSpatial getConfiguration()

Description copied from interface: SpatialPooling

Returns pooling configuration

Specified by:

getConfiguration in interface SpatialPooling<Tensor_F32>

Returns:

configuration