deepboof.impl.backward.standard

Class BaseDFunction<T extends deepboof.Tensor<T>>

java.lang.Object

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

deepboof.impl.backward.standard.BaseDFunction<T>

All Implemented Interfaces:

deepboof.DFunction<T>, deepboof.Function<T>

Direct Known Subclasses:

BaseDBatchNorm_F64, DFunctionDropOut_F64, DFunctionLinear_F64, ElementWiseDFunction

public abstract class BaseDFunction<T extends deepboof.Tensor<T>>
extends deepboof.impl.forward.standard.BaseFunction<T>
implements deepboof.DFunction<T>

Base class which implements common functionality between all DFunction

Field Summary

Fields

Modifier and Type	Field and Description
protected boolean	learningMode

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

miniBatchSize, parameters, shapeInput, shapeOutput, shapeParameters

Constructor Summary

Constructors

Constructor and Description
BaseDFunction()

Method Summary

Modifier and Type	Method and Description
protected abstract void	_backwards(T input, T dout, T gradientInput, java.util.List<T> gradientParameters)
void	backwards(T input, T dout, T gradientInput, java.util.List<T> gradientParameters)
void	evaluating()
boolean	isLearning()
void	learning()

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

_forward, _initialize, _setParameters, 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

forward, getOutputShape, getParameters, getParameterShapes, getTensorType, initialize, setParameters

Field Detail

learningMode

protected boolean learningMode

Constructor Detail

BaseDFunction

public BaseDFunction()

Method Detail

learning

public void learning()

Specified by:

learning in interface deepboof.DFunction<T extends deepboof.Tensor<T>>

evaluating

public void evaluating()

Specified by:

evaluating in interface deepboof.DFunction<T extends deepboof.Tensor<T>>

backwards

public void backwards(T input,
                      T dout,
                      T gradientInput,
                      java.util.List<T> gradientParameters)

Specified by:

backwards in interface deepboof.DFunction<T extends deepboof.Tensor<T>>

_backwards

protected abstract void _backwards(T input,
                                   T dout,
                                   T gradientInput,
                                   java.util.List<T> gradientParameters)

isLearning

public boolean isLearning()

Specified by:

isLearning in interface deepboof.DFunction<T extends deepboof.Tensor<T>>