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> | |
| 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