TuckerTensorTrain.to_tensor_train#
- t3toolbox.tucker_tensor_train.TuckerTensorTrain.to_tensor_train()#
def to_tensor_train( self, ) -> Tuple[NDArray,...]: # tt_cores
Convert this TuckerTensorTrain to a tensor train by contracting Tucker bases with TT cores.
- Returns:
tt_cores – Tensor train cores.
len(tt_cores)=d,tt_cores[ii].shape=stack_shape+(ri, Ni, r(i+1)).- Return type:
Sequence[NDArray]
Examples
>>> import numpy as np >>> import t3toolbox.tucker_tensor_train as t3 >>> np.random.seed(0) >>> x = t3.TuckerTensorTrain.randn((14,15,16), (5,6,7), (2,3,4,1), (2,3)) >>> big_tt_cores = x.to_tensor_train() >>> x_dense = np.einsum('...aib,...bjc,...ckd->...ijk', *big_tt_cores) >>> x_dense2 = x.to_dense() >>> print(np.allclose(x_dense, x_dense2)) True