# tf.linalg.global_norm

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/clip_ops.py#L235-L285) |

Computes the global norm of multiple tensors.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`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)

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    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.

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| ## Args ||
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| `t_list` | A tuple or list of mixed `Tensors`, `IndexedSlices`, or None. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
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| A 0-D (scalar) `Tensor` of type `float`. ||

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| ## Raises ||
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| `TypeError` | If `t_list` is not a sequence. |

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