ut3_save

t3toolbox.backend.ut3_constructors.ut3_save(file, data)

def ut3_save(
        file,         # path or open file object to write the .npz to
        data: UT3Data,
) -> None:

Save a uniform Tucker tensor train (2 supercores + 2 rank masks + the shape ints) to a .npz.

Shares save_core_families(): family 0 is the supercores, family 1 is the (numpy, host) rank masks, family 2 is the static shape as a 1-element int array. ut3_load() regroups them. np.savez stores the boolean masks with their dtype, so ut3_load recovers numpy bool masks.

Parameters:

data (UT3Data)

Return type:

None