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authorRĂ©mi Flamary <remi.flamary@gmail.com>2017-09-14 16:52:29 +0200
committerGitHub <noreply@github.com>2017-09-14 16:52:29 +0200
commita9427a1dd3fd9e99b0fee349eb714c93ac6faf83 (patch)
tree7d0c5d7336ac6f69630bdc61b69b002524c9eb85 /test/test_gromov.py
parent2324b1f629ebea5b6b58d0b32082032f2914f7e3 (diff)
parente70d5420204db78691af2d0fbe04cc3d4416a8f4 (diff)
Merge branch 'master' into autonb
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+"""Tests for module gromov """
+
+# Author: Erwan Vautier <erwan.vautier@gmail.com>
+# Nicolas Courty <ncourty@irisa.fr>
+#
+# License: MIT License
+
+import numpy as np
+import ot
+
+
+def test_gromov():
+ n_samples = 50 # nb samples
+
+ mu_s = np.array([0, 0])
+ cov_s = np.array([[1, 0], [0, 1]])
+
+ xs = ot.datasets.get_2D_samples_gauss(n_samples, mu_s, cov_s)
+
+ xt = xs[::-1].copy()
+
+ p = ot.unif(n_samples)
+ q = ot.unif(n_samples)
+
+ C1 = ot.dist(xs, xs)
+ C2 = ot.dist(xt, xt)
+
+ C1 /= C1.max()
+ C2 /= C2.max()
+
+ G = ot.gromov_wasserstein(C1, C2, p, q, 'square_loss', epsilon=5e-4)
+
+ # check constratints
+ np.testing.assert_allclose(
+ p, G.sum(1), atol=1e-04) # cf convergence gromov
+ np.testing.assert_allclose(
+ q, G.sum(0), atol=1e-04) # cf convergence gromov