ut3_ones
========

.. py:function:: t3toolbox.backend.ut3_constructors.ut3_ones(shape, stack_shape = (), use_jax = False)

   .. code-block:: python

      def ut3_ones(
              shape:        typ.Sequence[int],               # (N0,...,N(d-1))
              stack_shape:  typ.Tuple[int, ...] = (),
              use_jax:      bool = False,                    # constructor: chooses the SUPERCORE type
      ) -> UT3Data:


   Rank-1 uniform Tucker tensor train representing a tensor full of ones (every real entry == 1).