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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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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/linalg/global_norm