TuckerTensorTrain.to_vector

t3toolbox.tucker_tensor_train.TuckerTensorTrain.to_vector()

def to_vector(
        self,
) -> NDArray:

Converts a TuckerTensorTrain into a 1D vector containing the core entries.

Returns:

The vector of all core entries. shape=(self.data_size,)

Return type:

NDArray

See also

TuckerTensorTrain.from_vector()

Examples

>>> import numpy as np
>>> import t3toolbox.tucker_tensor_train as t3
>>> import t3toolbox.corewise as cw
>>> x = t3.TuckerTensorTrain.randn((14,15,16), (4,5,6), (1,3,4,5), stack_shape=(2,3))
>>> x_flat = x.to_vector()
>>> x2 = t3.TuckerTensorTrain.from_vector(x_flat, x.shape, x.tucker_ranks, x.tt_ranks, stack_shape=x.stack_shape)
>>> print(cw.corewise_norm(cw.corewise_sub(x.data, x2.data)))
0.0