https://github.com/tensorly/tensorly
Revision e49cdfd3254e20f211f6cd2006821fdf2d2f80fc authored by Jean Kossaifi on 23 August 2017, 15:25:23 UTC, committed by Jean Kossaifi on 23 August 2017, 15:25:23 UTC
1 parent 959c98c
Tip revision: e49cdfd3254e20f211f6cd2006821fdf2d2f80fc authored by Jean Kossaifi on 23 August 2017, 15:25:23 UTC
DOC: minor refactoring
DOC: minor refactoring
Tip revision: e49cdfd
plot_tensor.py
# -*- coding: utf-8 -*-
"""
Basic tensor operations
=======================
Example on how to use :mod:`tensorly.base` to perform basic tensor operations.
"""
import matplotlib.pyplot as plt
from tensorly.base import unfold, fold
import numpy as np
import tensorly.backend as T
###########################################################################
# A tensor is simply a numpy array
tensor = T.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, unfold(tensor, mode)))
###########################################################################
# Re-folding the tensor is as easy:
for mode in range(tensor.ndim):
unfolding = unfold(tensor, mode)
folded = fold(unfolding, mode, tensor.shape)
T.assert_array_equal(folded, tensor)
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