Revision 149110ea61b3a83a4b855682e6e62f80ed95082a authored by Jean Kossaifi on 31 August 2021, 22:37:03 UTC, committed by GitHub on 31 August 2021, 22:37:03 UTC
Fix singular vectors to be orthonormal
plot_tensor.py
# -*- coding: utf-8 -*-
"""
Basic tensor operations
=======================
Example on how to use :mod:`tensorly` to perform basic tensor operations.
"""
import numpy as np
import tensorly as tl
from tensorly.testing import assert_array_equal
###########################################################################
# A tensor is simply a numpy array
tensor = tl.tensor(np.arange(24).reshape((3, 4, 2)))
print('* original tensor:\n{}'.format(tensor))
###########################################################################
# Unfolding a tensor is easy
for mode in range(tensor.ndim):
print('* mode-{} unfolding:\n{}'.format(mode, tl.unfold(tensor, mode)))
###########################################################################
# Re-folding the tensor is as easy:
for mode in range(tensor.ndim):
unfolding = tl.unfold(tensor, mode)
folded = tl.fold(unfolding, mode, tensor.shape)
assert_array_equal(folded, tensor)
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