Also check red_op.

theano/gpuarray/tests/test_dnn.py

@@ -1626,8 +1626,9 @@ def test_dnn_reduction_axis_size_one():
             f2 = theano.function([x], sum_squares, mode=mode_with_gpu)
             f3 = theano.function([x], sum_abs, mode=mode_with_gpu)
             f4 = theano.function([x], absmax, mode=mode_with_gpu)
-            for fn in (f1, f2, f3, f4):
-                assert any(isinstance(node.op, dnn.GpuDnnReduction) for node in fn.maker.fgraph.apply_nodes)
+            for fn, red_op in ((f1, 'add'), (f2, 'norm2'), (f3, 'norm1'), (f4, 'absmax')):
+                assert any(isinstance(node.op, dnn.GpuDnnReduction) and node.op.red_op == red_op
+                           for node in fn.maker.fgraph.apply_nodes)
             xval = np.random.uniform(-10, -1, size=shape).astype(dtype)
             xval_reshaped = xval.reshape(shape[:axis] + shape[(axis + 1):])
             test_val = abs(xval_reshaped)