1 files changed, 28 insertions, 25 deletions
diff --git a/test/test_gpu.py b/test/test_gpu.py
index 49b98d0..9cc39d7 100644
--- a/test/test_gpu.py
+++ b/test/test_gpu.py
@@ -12,7 +12,8 @@ except ImportError:
 
 @pytest.mark.skipif(nogpu, reason="No GPU available")
 def test_gpu_sinkhorn():
-    import ot.gpu
+
+    np.random.seed(0)
 
     def describeRes(r):
         print("min:{:.3E}, max::{:.3E}, mean::{:.3E}, std::{:.3E}".format(
@@ -41,29 +42,31 @@ def test_gpu_sinkhorn():
 
 @pytest.mark.skipif(nogpu, reason="No GPU available")
 def test_gpu_sinkhorn_lpl1():
-        def describeRes(r):
-            print("min:{:.3E}, max:{:.3E}, mean:{:.3E}, std:{:.3E}"
-                  .format(np.min(r), np.max(r), np.mean(r), np.std(r)))
+    np.random.seed(0)
+
+    def describeRes(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 in [50, 100, 500, 1000]:
-            print(n)
-            a = np.random.rand(n // 4, 100)
-            labels_a = np.random.randint(10, size=(n // 4))
-            b = np.random.rand(n, 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))
-            describeRes(G1)
-            print("   GPU sinkhorn lpl1, time: {:6.2f} sec ".format(
-                time3 - time2))
-            describeRes(G2)
+    for n in [50, 100, 500, 1000]:
+        print(n)
+        a = np.random.rand(n // 4, 100)
+        labels_a = np.random.randint(10, size=(n // 4))
+        b = np.random.rand(n, 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))
+        describeRes(G1)
+        print("   GPU sinkhorn lpl1, time: {:6.2f} sec ".format(
+            time3 - time2))
+        describeRes(G2)
 
-            assert np.allclose(G1, G2, rtol=1e-5, atol=1e-5)
+        assert np.allclose(G1, G2, rtol=1e-5, atol=1e-5)