tltorch.TTTensor

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

Tensor-Train (Matrix-Product-State) Factorization

Parameters
factors
shape
rank
Attributes
decomposition

Returns the factors and parameters composing the tensor in factorized form

Methods

from_tensor(tensor[, rank])

new(shape, rank[, device, dtype])

normal_([mean, std])

Inialize the factors of the factorization such that the reconstruction follows a Gaussian distribution

to_tensor()

Reconstruct the full tensor from its factorized form

transduct(new_dim[, mode, new_factor])

Transduction adds a new dimension to the existing factorization

init_from_tensor

property decomposition

Returns the factors and parameters composing the tensor in factorized form

to_tensor()[source]

Reconstruct the full tensor from its factorized form

normal_(mean=0, std=1)[source]

Inialize the factors of the factorization such that the reconstruction follows a Gaussian distribution

Parameters
meanfloat, currently only 0 is supported
stdfloat

standard deviation

Returns
self
transduct(new_dim, mode=0, new_factor=None)[source]

Transduction adds a new dimension to the existing factorization

Parameters
new_dimint

dimension of the new mode to add

modewhere to insert the new dimension, after the channels, default is 0

by default, insert the new dimensions before the existing ones (e.g. add time before height and width)

Returns
self