tf.linalg.global_norm

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Computes the global norm of multiple tensors.

Aliases:

• tf.compat.v1.global_norm
• tf.compat.v1.linalg.global_norm
• tf.compat.v2.linalg.global_norm
• tf.global_norm

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.