t3toolbox.OLD_uniform.ut3_to_dense
==================================

.. py:function:: t3toolbox.OLD_uniform.ut3_to_dense(cores: UniformTuckerTensorTrain, masks: UniformEdgeWeights, use_jax: bool = False) -> NDArray

   Construct dense tensor represented by uniform Tucker tensor train

   :param cores: Cores for the uniform Tucker tensor train
   :type cores: UniformTuckerTensorTrainCores,
   :param masks: Masks for the uniform Tucker tensor train
   :type masks: UniformTuckerTensorTrainMasks,

   :returns: The dense tensor represented by uniform_x
   :rtype: NDArray

   .. 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)
   >>> x_dense = t3.t3_to_dense(x)
   >>> x_dense2 = ut3.ut3_to_dense(cores, masks)
   >>> print(np.linalg.norm(x_dense - x_dense2))
   0.0