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| author | Kilian Fatras <kilianfatras@Kilians-Air.hitronhub.home> | 2018-08-29 14:06:58 -0700 |
|---|---|---|
| committer | Kilian Fatras <kilianfatras@Kilians-Air.hitronhub.home> | 2018-08-29 14:06:58 -0700 |
| commit | fd6371cc557ba73c4f5d1142fa8de8d956a850f0 (patch) | |
| tree | 8e17e889c94ed915884484c24ec683648ec6d9e0 /test/test_stochastic.py | |
| parent | b2b5ffc529a7a3dbc51408cd2df59617a7e49a9a (diff) | |
replaced marginal tests
Diffstat (limited to 'test/test_stochastic.py')
| -rw-r--r-- | test/test_stochastic.py | 27 |
1 files changed, 12 insertions, 15 deletions
diff --git a/test/test_stochastic.py b/test/test_stochastic.py index 74228a3..0128317 100644 --- a/test/test_stochastic.py +++ b/test/test_stochastic.py @@ -97,7 +97,6 @@ def test_sag_asgd_sinkhorn(): x = rng.randn(n, 2) u = ot.utils.unif(n) - zero = np.zeros(n) M = ot.dist(x, x) G_asgd = ot.stochastic.solve_semi_dual_entropic(u, u, M, reg, "asgd", @@ -108,13 +107,13 @@ def test_sag_asgd_sinkhorn(): # check constratints np.testing.assert_allclose( - zero, (G_sag - G_sinkhorn).sum(1), atol=1e-03) # cf convergence sag + G_sag.sum(1), G_sinkhorn.sum(1), atol=1e-03) np.testing.assert_allclose( - zero, (G_sag - G_sinkhorn).sum(0), atol=1e-03) # cf convergence sag + G_sag.sum(0), G_sinkhorn.sum(0), atol=1e-03) np.testing.assert_allclose( - zero, (G_asgd - G_sinkhorn).sum(1), atol=1e-03) # cf convergence asgd + G_asgd.sum(1), G_sinkhorn.sum(1), atol=1e-03) np.testing.assert_allclose( - zero, (G_asgd - G_sinkhorn).sum(0), atol=1e-03) # cf convergence asgd + G_asgd.sum(0), G_sinkhorn.sum(0), atol=1e-03) np.testing.assert_allclose( G_sag, G_sinkhorn, atol=1e-03) # cf convergence sag np.testing.assert_allclose( @@ -151,9 +150,9 @@ def test_stochastic_dual_sgd(): # check constratints np.testing.assert_allclose( - u, G.sum(1), atol=1e-04) # cf convergence sgd + u, G.sum(1), atol=1e-03) # cf convergence sgd np.testing.assert_allclose( - u, G.sum(0), atol=1e-04) # cf convergence sgd + u, G.sum(0), atol=1e-03) # cf convergence sgd ############################################################################# @@ -175,7 +174,6 @@ def test_dual_sgd_sinkhorn(): # Test uniform x = rng.randn(n, 2) u = ot.utils.unif(n) - zero = np.zeros(n) M = ot.dist(x, x) G_sgd = ot.stochastic.solve_dual_entropic(u, u, M, reg, batch_size, @@ -185,17 +183,16 @@ def test_dual_sgd_sinkhorn(): # check constratints np.testing.assert_allclose( - zero, (G_sgd - G_sinkhorn).sum(1), atol=1e-04) # cf convergence sgd + G_sgd.sum(1), G_sinkhorn.sum(1), atol=1e-03) np.testing.assert_allclose( - zero, (G_sgd - G_sinkhorn).sum(0), atol=1e-04) # cf convergence sgd + G_sgd.sum(0), G_sinkhorn.sum(0), atol=1e-03) np.testing.assert_allclose( - G_sgd, G_sinkhorn, atol=1e-04) # cf convergence sgd + G_sgd, G_sinkhorn, atol=1e-03) # cf convergence sgd # Test gaussian n = 30 reg = 1 batch_size = 30 - zero = np.zeros(n) a = ot.datasets.make_1D_gauss(n, 15, 5) # m= mean, s= std b = ot.datasets.make_1D_gauss(n, 15, 5) @@ -211,8 +208,8 @@ def test_dual_sgd_sinkhorn(): # check constratints np.testing.assert_allclose( - zero, (G_sgd - G_sinkhorn).sum(1), atol=1e-04) # cf convergence sgd + G_sgd.sum(1), G_sinkhorn.sum(1), atol=1e-03) np.testing.assert_allclose( - zero, (G_sgd - G_sinkhorn).sum(0), atol=1e-04) # cf convergence sgd + G_sgd.sum(0), G_sinkhorn.sum(0), atol=1e-03) np.testing.assert_allclose( - G_sgd, G_sinkhorn, atol=1e-04) # cf convergence sgd + G_sgd, G_sinkhorn, atol=1e-03) # cf convergence sgd |