test_gaussian_entropy.py 1.23 KB
Newer Older
Jakob Knollmüller's avatar
tests  
Jakob Knollmüller committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
# Copyright(C) 2013-2020 Max-Planck-Society
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.

import numpy as np
from numpy.testing import assert_allclose

import nifty7 as ift

from ...nifty7.library.variational_models import GaussianEntropy


def test_gaussian_entropy():
    N = 42
    linear_space = ift.RGSpace(N)
    myField = ift.from_random(linear_space, 'uniform')
    vals = myField.val
    entropy = - 0.5 * np.sum(np.log(2 * vals**2 * np.pi * np.e)) # minus due to subtraction in KL
    myEntropy = GaussianEntropy(myField.domain)
    assert_allclose(entropy, myEntropy(myField).val)