https://github.com/tensorly/tensorly
Revision d9df81c5ff697b8f3d9a2e2b352e39619c972d9e authored by Brian Orcutt-Jahns on 10 December 2021, 20:26:09 UTC, committed by Brian Orcutt-Jahns on 10 December 2021, 20:26:09 UTC
1 parent 82601b4
Tip revision: d9df81c5ff697b8f3d9a2e2b352e39619c972d9e authored by Brian Orcutt-Jahns on 10 December 2021, 20:26:09 UTC
Add IL-2 NN PARAFAC Notebook
Add IL-2 NN PARAFAC Notebook
Tip revision: d9df81c
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)
Computing file changes ...