Class BatchNormWithGlobalNormalizationGrad<T extends TType>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad<T>

All Implemented Interfaces:

Op

@Operator(group="nn")
public final class BatchNormWithGlobalNormalizationGrad<T extends TType>
extends RawOp

Gradients for batch normalization. This op is deprecated. See tf.nn.batch_normalization.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	BatchNormWithGlobalNormalizationGrad.Inputs<T extends TType>

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
BatchNormWithGlobalNormalizationGrad(Operation operation)

Method Summary

Modifier and Type	Method	Description
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()	Gets db. 1D backprop tensor for beta.
Output<T>	dg()	Gets dg. 1D backprop tensor for gamma.
Output<T>	dm()	Gets dm. 1D backprop tensor for mean.
Output<T>	dv()	Gets dv. 1D backprop tensor for variance.
Output<T>	dx()	Gets dx. 4D backprop tensor for input.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface Op

env

Field Details

OP_NAME

public static final String OP_NAME

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

See Also:

• Constant Field Values

Constructor Details

BatchNormWithGlobalNormalizationGrad

public BatchNormWithGlobalNormalizationGrad(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public 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.

Type Parameters:

T - data type for BatchNormWithGlobalNormalizationGrad output and operands

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

dx

public Output<T> dx()

Gets dx. 4D backprop tensor for input.

Returns:

dx.

dm

public Output<T> dm()

Gets dm. 1D backprop tensor for mean.

Returns:

dm.

dv

public Output<T> dv()

Gets dv. 1D backprop tensor for variance.

Returns:

dv.

db

public Output<T> db()

Gets db. 1D backprop tensor for beta.

Returns:

db.

dg

public Output<T> dg()

Gets dg. 1D backprop tensor for gamma.

Returns:

dg.