t3toolbox.OLD_uniform.ut3_scale
===============================

.. py:function:: t3toolbox.OLD_uniform.ut3_scale(x_cores: UniformTuckerTensorTrain, s, use_jax: bool = False) -> UniformTuckerTensorTrain

   Scale a uniform Tucker tensor train, s,x -> s*x.

   :param x_cores: Original uniform Tucker tensor train cores
   :type x_cores: UniformTuckerTensorTrainCores
   :param s: Scaling factor
   :type s: scalar
   :param xnp: Linear algebra backend. Default: np (numpy)

   :returns: Cores for scaled uniform Tucker tensor train, s*x
   :rtype: UniformTuckerTensorTrainCores

   .. rubric:: Examples

   >>> import numpy as np
   >>> import t3toolbox.tucker_tensor_train as t3
   >>> import t3toolbox.uniform_tucker_tensor_train as ut3
   >>> x = t3.t3_corewise_randn(((14,15,16), (4,6,5), (2,3,2,2)))
   >>> cores, masks = ut3.t3_to_ut3(x)
   >>> s = 3.5
   >>> sx_cores = ut3.ut3_scale(cores, s) # scale x
   >>> dense_x = t3.t3_to_dense(x)
   >>> dense_sx = ut3.ut3_to_dense(sx_cores, masks)
   >>> print(np.linalg.norm(s*dense_x - dense_sx))
   1.4502362601421634e-12