tltorch.TensorizedTensor¶

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

Matrix in Tensorized Format

Important

order and tensorized_shape correspond to the underlying tensor

shape, dim and ndim correspond to the matrix

Attributes:

tensor_shape

Methods

from_matrix(matrix, tensorized_row_shape, ...)	Create a Tensorized Matrix by tensorizing and decomposing an existing matrix
from_tensor(tensor, shape, rank[, factorization])	Create a factorized tensor by decomposing a full tensor
new(tensorized_shape, rank[, factorization])	Main way to create a Tensorized Matrix
to_matrix()	Reconstruct the full matrix from the factorized tensorization

init_from_matrix

classmethod new(tensorized_shape, rank, factorization='CP', **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.

classmethod from_tensor(tensor, shape, rank, factorization='CP', **kwargs)[source]¶

Create a factorized tensor by decomposing a full tensor

Parameters:

tensortorch.tensor

tensor to factorize

shapetuple[int]

shape of the factorized tensor to create

rankint, ‘same’ or float

rank of the decomposition

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

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

Returns:

TensorFactorization

Tensor in Factorized form.

Raises:

ValueError

If the factorization given does not exist.

classmethod from_matrix(matrix, tensorized_row_shape, tensorized_column_shape, rank, factorization='CP', **kwargs)[source]¶

Create a Tensorized Matrix by tensorizing and decomposing an existing matrix

Parameters:

matrixtorch.tensor of order 2

matrix to decompose

tensorized_row_shapetuple[int]

The first dimension (rows) of the matrix will be tensorized to that shape

tensorized_column_shapetuple[int]

The second dimension (columns) of the matrix will be tensorized to that shape

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:

TensorizedMatrix

Matrix in Tensorized and Factorized form.

Raises:

ValueError

If the factorization given does not exist.

to_matrix()[source]¶

Reconstruct the full matrix from the factorized tensorization

If several matrices are parametrized, a batch of matrices is returned