org.tensorflow.op.nn

Class BatchNormWithGlobalNormalization<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for result() output

All Implemented Interfaces:

Op, Operand<T>

@Operator(group="nn")
public final class BatchNormWithGlobalNormalization<T>
extends PrimitiveOp
implements Operand<T>

Batch normalization.

This op is deprecated. Prefer `tf.nn.batch_normalization`.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T> BatchNormWithGlobalNormalization<T>	create(Scope scope, Operand<T> t, Operand<T> m, Operand<T> v, Operand<T> beta, Operand<T> gamma, Float varianceEpsilon, Boolean scaleAfterNormalization) Factory method to create a class wrapping a new BatchNormWithGlobalNormalization operation.
Output<T>	result()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

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

Factory method to create a class wrapping a new BatchNormWithGlobalNormalization 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.

beta - A 1D beta Tensor with size matching the last dimension of t. An offset to be added to the normalized tensor.

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.

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 BatchNormWithGlobalNormalization

result

public Output<T> result()

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

Specified by:

asOutput in interface Operand<T>

See Also:

OperationBuilder.addInput(Output)