diff options
Diffstat (limited to 'test/test_gromov.py')
| -rw-r--r-- | test/test_gromov.py | 31 |
1 files changed, 29 insertions, 2 deletions
diff --git a/test/test_gromov.py b/test/test_gromov.py index 0dfd54e..d865380 100644 --- a/test/test_gromov.py +++ b/test/test_gromov.py @@ -40,7 +40,7 @@ def test_gromov(): G = log['T']
- np.testing.assert_allclose(gw, 0, atol=1e-2, rtol=1e-2)
+ np.testing.assert_allclose(gw, 0, atol=1e-1, rtol=1e-1)
# check constratints
np.testing.assert_allclose(
@@ -82,10 +82,37 @@ def test_entropic_gromov(): G = log['T']
- np.testing.assert_allclose(gw, 0, atol=1e-1, rtol=1e1)
+ np.testing.assert_allclose(gw, 0, atol=1e-1, rtol=1e-1)
# 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
+
+
+def test_gromov_barycenter():
+
+ ns = 50
+ nt = 60
+
+ Xs, ys = ot.datasets.get_data_classif('3gauss', ns)
+ Xt, yt = ot.datasets.get_data_classif('3gauss2', nt)
+
+ C1 = ot.dist(Xs)
+ C2 = ot.dist(Xt)
+
+ n_samples = 3
+ Cb = ot.gromov.gromov_barycenters(n_samples, [C1, C2],
+ [ot.unif(ns), ot.unif(nt)
+ ], ot.unif(n_samples), [.5, .5],
+ 'square_loss', # 5e-4,
+ max_iter=100, tol=1e-3)
+ np.testing.assert_allclose(Cb.shape, (n_samples, n_samples))
+
+ Cb2 = ot.gromov.gromov_barycenters(n_samples, [C1, C2],
+ [ot.unif(ns), ot.unif(nt)
+ ], ot.unif(n_samples), [.5, .5],
+ 'kl_loss', # 5e-4,
+ max_iter=100, tol=1e-3)
+ np.testing.assert_allclose(Cb2.shape, (n_samples, n_samples))
|