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>
result()

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 ()