https://github.com/tensorly/tensorly
Revision 7146ca6de4e9aafb344bfa9a035f5f0b640aabca authored by Jean Kossaifi on 27 February 2017, 14:39:12 UTC, committed by Jean Kossaifi on 27 February 2017, 14:39:12 UTC
1 parent 200dd5b
Tip revision: 7146ca6de4e9aafb344bfa9a035f5f0b640aabca authored by Jean Kossaifi on 27 February 2017, 14:39:12 UTC
DOC: Minor update
DOC: Minor update
Tip revision: 7146ca6
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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