deepboof.impl.backward.standard

Class BaseDBatchNorm_F64

java.lang.Object

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

deepboof.impl.backward.standard.BaseDFunction<deepboof.tensors.Tensor_F64>

deepboof.impl.backward.standard.BaseDBatchNorm_F64

All Implemented Interfaces:

DBatchNorm<deepboof.tensors.Tensor_F64>, deepboof.DFunction<deepboof.tensors.Tensor_F64>, deepboof.forward.BatchNorm, deepboof.Function<deepboof.tensors.Tensor_F64>

Direct Known Subclasses:

DFunctionBatchNorm_F64, DSpatialBatchNorm_F64

public abstract class BaseDBatchNorm_F64
extends BaseDFunction<deepboof.tensors.Tensor_F64>
implements DBatchNorm<deepboof.tensors.Tensor_F64>

Implements common functionality for all batch normalization implementations for Tensor_F64.

Field Summary

Fields

Modifier and Type	Field and Description
protected int	D
protected double	EPS
protected deepboof.tensors.Tensor_F64	params
protected boolean	requiresGammaBeta
protected int[]	shapeVariables
protected deepboof.tensors.Tensor_F64	tensorDiffX
protected deepboof.tensors.Tensor_F64	tensorDMean
protected deepboof.tensors.Tensor_F64	tensorDVar
protected deepboof.tensors.Tensor_F64	tensorDXhat
protected deepboof.tensors.Tensor_F64	tensorMean
protected deepboof.tensors.Tensor_F64	tensorStd
protected deepboof.tensors.Tensor_F64	tensorTmp
protected deepboof.tensors.Tensor_F64	tensorXhat

Fields inherited from class deepboof.impl.backward.standard.BaseDFunction

learningMode

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

miniBatchSize, parameters, shapeInput, shapeOutput, shapeParameters

Constructor Summary

Constructors

Constructor and Description
BaseDBatchNorm_F64(boolean requiresGammaBeta)

Method Summary

Modifier and Type	Method and Description
void	_initialize()
void	_setParameters(java.util.List<deepboof.tensors.Tensor_F64> parameters)
protected abstract int[]	createShapeVariables(int[] shapeInput) Create the shape for all the variables which are being normalized
double	getEPS()
deepboof.tensors.Tensor_F64	getMean(deepboof.tensors.Tensor_F64 output) Returns the most recently computed mean for each variable in the tensor.
java.lang.Class<deepboof.tensors.Tensor_F64>	getTensorType()
deepboof.tensors.Tensor_F64	getVariance(deepboof.tensors.Tensor_F64 output) Returns the most recently computed variance for each variable.
boolean	hasGammaBeta()
void	setEPS(double EPS)

Methods inherited from class deepboof.impl.backward.standard.BaseDFunction

_backwards, backwards, evaluating, isLearning, learning

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

_forward, 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.DFunction

backwards, evaluating, isLearning, learning

Methods inherited from interface deepboof.Function

forward, getOutputShape, getParameters, getParameterShapes, initialize, setParameters

Field Detail

requiresGammaBeta

protected boolean requiresGammaBeta

tensorMean

protected deepboof.tensors.Tensor_F64 tensorMean

tensorStd

protected deepboof.tensors.Tensor_F64 tensorStd

tensorXhat

protected deepboof.tensors.Tensor_F64 tensorXhat

tensorDVar

protected deepboof.tensors.Tensor_F64 tensorDVar

tensorDMean

protected deepboof.tensors.Tensor_F64 tensorDMean

tensorDXhat

protected deepboof.tensors.Tensor_F64 tensorDXhat

tensorDiffX

protected deepboof.tensors.Tensor_F64 tensorDiffX

tensorTmp

protected deepboof.tensors.Tensor_F64 tensorTmp

shapeVariables

protected int[] shapeVariables

D

protected int D

params

protected deepboof.tensors.Tensor_F64 params

EPS

protected double EPS

Constructor Detail

BaseDBatchNorm_F64

public BaseDBatchNorm_F64(boolean requiresGammaBeta)

Method Detail

_initialize

public void _initialize()

Specified by:

_initialize in class deepboof.impl.forward.standard.BaseFunction<deepboof.tensors.Tensor_F64>

createShapeVariables

protected abstract int[] createShapeVariables(int[] shapeInput)

Create the shape for all the variables which are being normalized

Parameters:

shapeInput - Shape of input tensor (without mini-batch)

Returns:

shape of variables tensor

_setParameters

public void _setParameters(java.util.List<deepboof.tensors.Tensor_F64> parameters)

Specified by:

_setParameters in class deepboof.impl.forward.standard.BaseFunction<deepboof.tensors.Tensor_F64>

getEPS

public double getEPS()

Specified by:

getEPS in interface deepboof.forward.BatchNorm

setEPS

public void setEPS(double EPS)

Specified by:

setEPS in interface deepboof.forward.BatchNorm

hasGammaBeta

public boolean hasGammaBeta()

Specified by:

hasGammaBeta in interface deepboof.forward.BatchNorm

getTensorType

public java.lang.Class<deepboof.tensors.Tensor_F64> getTensorType()

Specified by:

getTensorType in interface deepboof.Function<deepboof.tensors.Tensor_F64>

getMean

public deepboof.tensors.Tensor_F64 getMean(deepboof.tensors.Tensor_F64 output)

Description copied from interface: DBatchNorm

Returns the most recently computed mean for each variable in the tensor.

Specified by:

getMean in interface DBatchNorm<deepboof.tensors.Tensor_F64>

Parameters:

output - Storage for mean tensor. Is reshaped. If null a new instance will be declared

getVariance

public deepboof.tensors.Tensor_F64 getVariance(deepboof.tensors.Tensor_F64 output)

Description copied from interface: DBatchNorm

Returns the most recently computed variance for each variable. This will be the actual variance not something that has been adjusted by adding EPS to it.

Specified by:

getVariance in interface DBatchNorm<deepboof.tensors.Tensor_F64>

Parameters:

output - Storage for variance tensor. Is reshaped. If null a new instance will be declared