Re-add test_local_gpu_elemwise_careduce with cudnn opts excluded.

theano/gpuarray/tests/test_opt.py

@@ -359,6 +359,29 @@ def test_pdbbreakpoint_op():
     assert _check_stack_trace(f)
 
 
+def test_local_gpu_elemwise_careduce():
+    mode_with_gpu_no_cudnn = mode_with_gpu.excluding('cudnn')
+    x = theano.tensor.matrix()
+    o = (x * x).sum()
+    f = theano.function([x], o, mode=mode_with_gpu_no_cudnn)
+    topo = f.maker.fgraph.toposort()
+    assert len(topo) == 3
+    assert isinstance(topo[1].op, GpuCAReduceCuda)
+    assert topo[1].op.pre_scalar_op == theano.scalar.sqr
+    assert _check_stack_trace(f)
+    data = np.random.rand(3, 4).astype(theano.config.floatX)
+    utt.assert_allclose(f(data), (data * data).sum())
+
+    o = (x * x).sum(axis=1)
+    f = theano.function([x], o, mode=mode_with_gpu_no_cudnn)
+    topo = f.maker.fgraph.toposort()
+    assert len(topo) == 3
+    assert isinstance(topo[1].op, GpuCAReduceCuda)
+    assert topo[1].op.pre_scalar_op == theano.scalar.sqr
+    assert _check_stack_trace(f)
+    utt.assert_allclose(f(data), (data * data).sum(axis=1))
+
+
 def test_dnn_reduction_sum_squares():
     if not dnn.dnn_available(test_ctx_name) or dnn.version(raises=False) < 6000:
         raise SkipTest(dnn.dnn_available.msg)