tltorch.ComplexTuckerTensorized¶

class tltorch.ComplexTuckerTensorized(*args, **kwargs)[source]¶

Complex TuckerTensorized Factorization

Methods

new(tensorized_shape[, rank, device, dtype])

Main way to create a Tensorized Matrix

classmethod new(tensorized_shape, rank=None, device=None, dtype=torch.complex64, **kwargs)[source]¶

Main way to create a Tensorized Matrix

Parameters:

tensorized_shapetuple[int]

rankint, ‘same’ or float

rank of the decomposition

n_matricestuple or int, default is ()

if not (), indicates how many matrices have to be jointly factorized

factorization{‘CP’, ‘TT’, ‘Tucker’}, optional

Tensor factorization to use to decompose the tensor, by default ‘CP’

Returns:

TensorizedTensor

Tensor in Tensorized and Factorized form.

Raises:

ValueError

If the factorization given does not exist.