1 files changed, 79 insertions, 0 deletions
diff --git a/test/test_gpu.py b/test/test_gpu.py
new file mode 100644
index 0000000..615c2a7
--- /dev/null
+++ b/test/test_gpu.py
@@ -0,0 +1,79 @@
+"""Tests for module gpu for gpu acceleration """
+
+# Author: Remi Flamary <remi.flamary@unice.fr>
+#
+# License: MIT License
+
+import numpy as np
+import ot
+import time
+import pytest
+
+try:  # test if cudamat installed
+    import ot.gpu
+    nogpu = False
+except ImportError:
+    nogpu = True
+
+
+@pytest.mark.skipif(nogpu, reason="No GPU available")
+def test_gpu_sinkhorn():
+
+    rng = np.random.RandomState(0)
+
+    def describe_res(r):
+        print("min:{:.3E}, max::{:.3E}, mean::{:.3E}, std::{:.3E}".format(
+            np.min(r), np.max(r), np.mean(r), np.std(r)))
+
+    for n_samples in [50, 100, 500, 1000]:
+        print(n_samples)
+        a = rng.rand(n_samples // 4, 100)
+        b = rng.rand(n_samples, 100)
+        time1 = time.time()
+        transport = ot.da.OTDA_sinkhorn()
+        transport.fit(a, b)
+        G1 = transport.G
+        time2 = time.time()
+        transport = ot.gpu.da.OTDA_sinkhorn()
+        transport.fit(a, b)
+        G2 = transport.G
+        time3 = time.time()
+        print("Normal sinkhorn, time: {:6.2f} sec ".format(time2 - time1))
+        describe_res(G1)
+        print("   GPU sinkhorn, time: {:6.2f} sec ".format(time3 - time2))
+        describe_res(G2)
+
+        np.testing.assert_allclose(G1, G2, rtol=1e-5, atol=1e-5)
+
+
+@pytest.mark.skipif(nogpu, reason="No GPU available")
+def test_gpu_sinkhorn_lpl1():
+
+    rng = np.random.RandomState(0)
+
+    def describe_res(r):
+        print("min:{:.3E}, max:{:.3E}, mean:{:.3E}, std:{:.3E}"
+              .format(np.min(r), np.max(r), np.mean(r), np.std(r)))
+
+    for n_samples in [50, 100, 500]:
+        print(n_samples)
+        a = rng.rand(n_samples // 4, 100)
+        labels_a = np.random.randint(10, size=(n_samples // 4))
+        b = rng.rand(n_samples, 100)
+        time1 = time.time()
+        transport = ot.da.OTDA_lpl1()
+        transport.fit(a, labels_a, b)
+        G1 = transport.G
+        time2 = time.time()
+        transport = ot.gpu.da.OTDA_lpl1()
+        transport.fit(a, labels_a, b)
+        G2 = transport.G
+        time3 = time.time()
+        print("Normal sinkhorn lpl1, time: {:6.2f} sec ".format(
+            time2 - time1))
+        describe_res(G1)
+        print("   GPU sinkhorn lpl1, time: {:6.2f} sec ".format(
+            time3 - time2))
+        describe_res(G2)
+
+        np.testing.assert_allclose(G1, G2, rtol=1e-5, atol=1e-5)