public final class
BatchNormWithGlobalNormalizationGrad
Gradients for batch normalization.
This op is deprecated. See tf.nn.batch_normalization.
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static <T extends TType> BatchNormWithGlobalNormalizationGrad<T> | |
| Output<T> |
db()
1D backprop tensor for beta.
|
| Output<T> |
dg()
1D backprop tensor for gamma.
|
| Output<T> |
dm()
1D backprop tensor for mean.
|
| Output<T> |
dv()
1D backprop tensor for variance.
|
| Output<T> |
dx()
4D backprop tensor for input.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"BatchNormWithGlobalNormalizationGrad"
Public Methods
public static 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.
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