t3toolbox.OLD_uniform.ut3_to_t3
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.. py:function:: t3toolbox.OLD_uniform.ut3_to_t3(cores: UniformTuckerTensorTrain, masks: UniformEdgeWeights, use_jax: bool = False) -> t3toolbox.tucker_tensor_train.TuckerTensorTrain

   Convert UniformTuckerTensorTrain to TuckerTensorTrain.

   .. 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), (1,3,2,1)))
   >>> cores, masks = ut3.t3_to_ut3(x) # Convert t3 -> ut3
   >>> print(ut3.get_uniform_structure(cores))
   (3, 16, 6, 3)
   >>> print(ut3.get_original_structure(masks))
   ((14, 15, 16), (4, 6, 5), (1, 3, 2, 1))
   >>> x2 = ut3.ut3_to_t3(cores, masks) # Convert ut3 -> t3
   >>> print(t3.get_structure(x2))
   ((14, 15, 16), (4, 6, 5), (1, 3, 2, 1))
   >>> print([np.linalg.norm(B - B2) for B, B2  in zip(x[0], x2[0])])
   [0.0, 0.0, 0.0]
   >>> print([np.linalg.norm(G - G2) for G, G2  in zip(x[1], x2[1])])
   [0.0, 0.0, 0.0]