fix graph_conv test

Summary: The recently added part of a test was assuming that the random gpu was gpu 0.

Reviewed By: nikhilaravi

Differential Revision: D22948397

fbshipit-source-id: 88107e19fc3118e763f95be43a614941176a08f9

tests/test_graph_conv.py

@@ -113,7 +113,7 @@ class TestGraphConv(TestCaseMixin, unittest.TestCase):
         neighbor_sums_cpu = gather_scatter(verts_cpu, edges_cpu, False)
         neighbor_sums = gather_scatter_python(verts, edges, False)
         randoms = torch.rand_like(neighbor_sums)
-        (neighbor_sums_cuda * randoms.cuda()).sum().backward()
+        (neighbor_sums_cuda * randoms.to(device)).sum().backward()
         (neighbor_sums_cpu * randoms).sum().backward()
         (neighbor_sums * randoms).sum().backward()