tf.linalg.global_norm

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

Defined in python/ops/clip_ops.py.

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.