tf.linalg.global_norm

Computes the global norm of multiple tensors.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.global_norm, tf.compat.v1.linalg.global_norm

tf.linalg.global_norm(
    t_list, name=None
)

Used in the notebooks

Used in the tutorials
Composing Learning Algorithms

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.