t3_zeros
========

.. py:function:: t3toolbox.backend.t3_constructors.t3_zeros(shape, tucker_ranks, tt_ranks, stack_shape = (), use_jax = False)

   .. code-block:: python

      def t3_zeros(
              shape:        typ.Tuple[int, ...],       # len=d, the tensor mode sizes (N0,...,N(d-1))
              tucker_ranks: typ.Tuple[int, ...],       # len=d
              tt_ranks:     typ.Tuple[int, ...],       # len=d+1
              stack_shape:  typ.Tuple[int, ...] = (),  # leading batch axes

              use_jax:      bool = False,  # constructor: no array inputs, so the flag chooses the output type
      ) -> typ.Tuple[
          typ.Sequence[NDArray],  # tucker_cores. len=d, elm_shape=stack_shape+(ni,Ni)
          typ.Sequence[NDArray],  # tt_cores.     len=d, elm_shape=stack_shape+(rLi,ni,rR(i+1))
      ]:


   Construct a Tucker tensor train of zeros.