tf.linalg.global_norm
Computes the global norm of multiple tensors.
tf.linalg.global_norm(
t_list, name=None
)
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. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/linalg/global_norm