BatchNormWithGlobalNormalization

public final class BatchNormWithGlobalNormalization

Batch normalization.

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

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TType > 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>

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "BatchNormWithGlobalNormalization"

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of the 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.

public static 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

public Output <T> result ()