BatchNormWithGlobalNormalizationGrad

public final class BatchNormWithGlobalNormalizationGrad

Gradients for batch normalization.

This op is deprecated. See tf.nn.batch_normalization.

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

static <T extends TType> BatchNormWithGlobalNormalizationGrad<T>	create(Scope scope, Operand<T> t, Operand<T> m, Operand<T> v, Operand<T> gamma, Operand<T> backprop, Float varianceEpsilon, Boolean scaleAfterNormalization) Factory method to create a class wrapping a new BatchNormWithGlobalNormalizationGrad operation.
Output<T>	db() 1D backprop tensor for beta.
Output<T>	dg() 1D backprop tensor for gamma.
Output<T>	dm() 1D backprop tensor for mean.
Output<T>	dv() 1D backprop tensor for variance.
Output<T>	dx() 4D backprop tensor for input.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "BatchNormWithGlobalNormalizationGrad"

Public Methods

public static BatchNormWithGlobalNormalizationGrad<T> create (Scope scope, Operand<T> t, Operand<T> m, Operand<T> v, Operand<T> gamma, Operand<T> backprop, Float varianceEpsilon, Boolean scaleAfterNormalization)

Factory method to create a class wrapping a new BatchNormWithGlobalNormalizationGrad operation.

Parameters

scope	current scope
t	A 4D input Tensor.
m	A 1D mean Tensor with size matching the last dimension of t. This is the first output from tf.nn.moments, or a saved moving average thereof.
v	A 1D variance Tensor with size matching the last dimension of t. This is the second output from tf.nn.moments, or a saved moving average thereof.
gamma	A 1D gamma Tensor with size matching the last dimension of t. If "scale_after_normalization" is true, this Tensor will be multiplied with the normalized Tensor.
backprop	4D backprop Tensor.
varianceEpsilon	A small float number to avoid dividing by 0.
scaleAfterNormalization	A bool indicating whether the resulted tensor needs to be multiplied with gamma.

Returns

• a new instance of BatchNormWithGlobalNormalizationGrad

public Output<T> db ()

1D backprop tensor for beta.

public Output<T> dg ()

1D backprop tensor for gamma.

public Output<T> dm ()

1D backprop tensor for mean.

public Output<T> dv ()

1D backprop tensor for variance.

public Output<T> dx ()

4D backprop tensor for input.