Use op instances instead of op classes for test classes.

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -945,14 +945,14 @@ class TestAlloc(theano.tensor.tests.test_basic.TestAlloc):
     dtype = "float32"
     mode = mode_with_gpu
     shared = staticmethod(cuda.shared_constructor)
-    allocs = [B.GpuAlloc, B.GpuAlloc, tensor.Alloc]
+    allocs = [B.GpuAlloc(), B.GpuAlloc(), tensor.Alloc()]
 
 
 class T_Join_and_Split(theano.tensor.tests.test_basic.T_Join_and_Split):
     def setUp(self):
         utt.seed_rng()
         self.mode = mode_with_gpu.excluding('constant_folding')
-        self.join_op = cuda.GpuJoin
+        self.join_op = cuda.GpuJoin()
         # No gpu split.
         self.split_op = tensor.Split
         # No Make vector on the gpu, Join used instead

theano/sandbox/gpuarray/tests/test_basic_ops.py

@@ -305,7 +305,7 @@ class TestAlloc(theano.tensor.tests.test_basic.TestAlloc):
     dtype = "float32"
     mode = mode_with_gpu
     shared = staticmethod(gpuarray_shared_constructor)
-    allocs = [GpuAlloc, GpuAlloc, T.Alloc]
+    allocs = [GpuAlloc(), GpuAlloc(), T.Alloc]
 
 
 def test_shape():
@@ -363,7 +363,7 @@ class G_Join_and_Split(test_basic.T_Join_and_Split):
     def setUp(self):
         super(G_Join_and_Split, self).setUp()
         self.mode = mode_with_gpu.excluding('constant_folding')
-        self.join_op = GpuJoin
+        self.join_op = GpuJoin()
         self.split_op = GpuSplit
         # Use join instead of MakeVector since there is no MakeVector on GPU
         self.make_vector_op = GpuJoin