t3toolbox.OLD_uniform.ut3_neg
=============================

.. py:function:: t3toolbox.OLD_uniform.ut3_neg(x_cores: UniformTuckerTensorTrain, use_jax: bool = False) -> UniformTuckerTensorTrain

   Flip a uniform Tucker tensor train, x -> -x.

   :param x_cores: Original uniform Tucker tensor train cores
   :type x_cores: UniformTuckerTensorTrainCores

   :returns: Cores for flipped uniform Tucker tensor train, -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)
   >>> neg_cores = ut3.ut3_neg(cores) # flip x
   >>> dense_x = t3.t3_to_dense(x)
   >>> dense_neg_x = ut3.ut3_to_dense(neg_cores, masks)
   >>> print(np.linalg.norm(-dense_x - dense_neg_x))
   0.0