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 2023-03-17 UTC.
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View source on GitHub