Package deepboof.impl.backward.standard

Class DSpatialBatchNorm_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

deepboof.impl.backward.standard.DSpatialBatchNorm_F64

All Implemented Interfaces:

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

public class DSpatialBatchNorm_F64
extends BaseDBatchNorm_F64
implements DSpatialBatchNorm<deepboof.tensors.Tensor_F64>

Implementation of DSpatialBatchNorm for Tensor_F64.

Field Summary

Fields inherited from class deepboof.impl.backward.standard.BaseDBatchNorm_F64

D, EPS, params, requiresGammaBeta, shapeVariables, tensorDiffX, tensorDMean, tensorDVar, tensorDXhat, tensorMean, tensorStd, tensorTmp, 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	Description
DSpatialBatchNorm_F64(boolean requiresGammaBeta)

Method Summary

Modifier and Type	Method	Description
protected void	_backwards(deepboof.tensors.Tensor_F64 input, deepboof.tensors.Tensor_F64 dout, deepboof.tensors.Tensor_F64 gradientInput, List<deepboof.tensors.Tensor_F64> gradientParameters)
void	_forward(deepboof.tensors.Tensor_F64 input, deepboof.tensors.Tensor_F64 output)
protected int[]	createShapeVariables(int[] shapeInput)	Create the shape for all the variables which are being normalized
void	forwardEvaluate(deepboof.tensors.Tensor_F64 input, deepboof.tensors.Tensor_F64 output)

Methods inherited from class deepboof.impl.backward.standard.BaseDBatchNorm_F64

_initialize, _setParameters, getEPS, getMean, getTensorType, getVariance, hasGammaBeta, setEPS

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

backwards, evaluating, isLearning, learning

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.forward.BatchNorm

getEPS, hasGammaBeta, setEPS

Methods inherited from interface deepboof.backward.DBatchNorm

getMean, getVariance

Methods inherited from interface deepboof.DFunction

backwards, evaluating, isLearning, learning

Methods inherited from interface deepboof.backward.DSpatialBatchNorm

forward, setParameters

Methods inherited from interface deepboof.Function

getOutputShape, getParameters, getParameterShapes, getTensorType, initialize

Constructor Details

DSpatialBatchNorm_F64

public DSpatialBatchNorm_F64(boolean requiresGammaBeta)

Method Details

createShapeVariables

protected int[] createShapeVariables(int[] shapeInput)

Description copied from class: BaseDBatchNorm_F64

Create the shape for all the variables which are being normalized

Specified by:

createShapeVariables in class BaseDBatchNorm_F64

Parameters:

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

Returns:

shape of variables tensor

_forward

public void _forward(deepboof.tensors.Tensor_F64 input,
deepboof.tensors.Tensor_F64 output)

Specified by:

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

forwardEvaluate

public void forwardEvaluate(deepboof.tensors.Tensor_F64 input,
deepboof.tensors.Tensor_F64 output)

_backwards

protected void _backwards(deepboof.tensors.Tensor_F64 input,
deepboof.tensors.Tensor_F64 dout,
deepboof.tensors.Tensor_F64 gradientInput,
List<deepboof.tensors.Tensor_F64> gradientParameters)

Specified by:

_backwards in class BaseDFunction<deepboof.tensors.Tensor_F64>