UT3Weights.from_ut3svd
======================

.. py:method:: t3toolbox.uniform_tucker_tensor_train.UT3Weights.from_ut3svd(x, **kwargs)
   :classmethod:


   .. code-block:: python

      def from_ut3svd(cls, x: 'UniformTuckerTensorTrain', **kwargs) -> 'UT3Weights':


   The singular values of ``x`` as a weight object -- the canonical (unmodified) sigmas, so
   ``from_ut3svd(x).reciprocal()`` is the inverse-sigma (Grasedyck-Kramer) weighting. Uniform twin of
   :py:meth:`~t3toolbox.tucker_tensor_train.T3Weights.from_t3svd`.

   ``**kwargs`` pass to :py:meth:`UniformTuckerTensorTrain.t3svd`. The weights carry the **t3svd
   result's** masks, so they pair with that result -- which is ``x`` itself only when ``x`` already
   has minimal ranks and tight padding. Otherwise weight the returned train, not the original:

       ``xs, _, _ = x.t3svd(); W = UT3Weights.from_ut3svd(x); absorb_weights(xs, W)``