https://github.com/tensorly/tensorly
Revision c53b8a619956697bfcf07576328bf2d745338c9d authored by Jean KOSSAIFI on 30 October 2016, 17:56:52 UTC, committed by Jean KOSSAIFI on 30 October 2016, 17:56:52 UTC
1 parent 3438c5a
Tip revision: c53b8a619956697bfcf07576328bf2d745338c9d authored by Jean KOSSAIFI on 30 October 2016, 17:56:52 UTC
Updated README and setup.py, removed setup.cfg.
Updated README and setup.py, removed setup.cfg.
Tip revision: c53b8a6
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
###########################################################################
# A tensor is simply a numpy array
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)
print(np.all(folded == tensor))
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