tf.linalg.global_norm
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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.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.linalg.global_norm\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/clip_ops.py#L235-L285) |\n\nComputes the global norm of multiple tensors.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.global_norm`](https://www.tensorflow.org/api_docs/python/tf/linalg/global_norm), [`tf.compat.v1.linalg.global_norm`](https://www.tensorflow.org/api_docs/python/tf/linalg/global_norm)\n\n\u003cbr /\u003e\n\n tf.linalg.global_norm(\n t_list, name=None\n )\n\nGiven a tuple or list of tensors `t_list`, this operation returns the\nglobal norm of the elements in all tensors in `t_list`. The global norm is\ncomputed as:\n\n`global_norm = sqrt(sum([l2norm(t)**2 for t in t_list]))`\n\nAny entries in `t_list` that are of type None are ignored.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|---------------------------------------------------------------|\n| `t_list` | A tuple or list of mixed `Tensors`, `IndexedSlices`, or None. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A 0-D (scalar) `Tensor` of type `float`. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|-------------|--------------------------------|\n| `TypeError` | If `t_list` is not a sequence. |\n\n\u003cbr /\u003e"]]
View source on GitHub