tf.linalg.global_norm | TensorFlow v2.16.1 (original) (raw)
tf.linalg.global_norm
Stay organized with collections Save and categorize content based on your preferences.
Computes the global norm of multiple tensors.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.global_norm, tf.compat.v1.linalg.global_norm
tf.linalg.global_norm(
t_list, name=None
)
Used in the notebooks
| Used in the tutorials |
|---|
| Composing Learning Algorithms |
Given a tuple or list of tensors t_list, this operation returns the global norm of the elements in all tensors in t_list. The global norm is computed as:
global_norm = sqrt(sum([l2norm(t)**2 for t in t_list]))
Any entries in t_list that are of type None are ignored.
| Args | |
|---|---|
| t_list | A tuple or list of mixed Tensors, IndexedSlices, or None. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A 0-D (scalar) Tensor of type float. |
| Raises | |
|---|---|
| TypeError | If t_list is not a sequence. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.