Add outer grad tests with broadcastable dimensions.

theano/tensor/tests/test_basic.py

@@ -2739,10 +2739,31 @@ class T_outer(unittest.TestCase):
                 s2 = numpy.random.randint(1, 10, n)
                 v1 = numpy.asarray(numpy.random.rand(*s1)).astype(floatX)
                 v2 = numpy.asarray(numpy.random.rand(*s2)).astype(floatX)
-                print m, n, s1, s2
                 o = tensor.outer(x, y).eval({x: v1, y: v2})
                 assert_allclose(o, numpy.outer(v1, v2))
 
+    def test_grad(self):
+        """
+        Test the combined graph of the graph of outer
+        with broadcastable dimensions, just in case.
+        """
+        for shp0, shp1 in [((1,), (2,)),
+                           ((3,), (1,)),
+                           ((1,), (1,)),
+                           ((3,), (2,)),
+                           ((3, 2), (1, 1)),
+                           ((3, 2), (1, 4)),
+                           ((3, 2), (4, 1)),
+                           ((3, 2), (4, 5)),
+                           ((1, 2), (4, 5)),
+                           ((3, 1), (4, 5)),
+                           ((1, 1), (4, 5)),
+                           ((1, 1), (1, 1)),
+                       ]:
+            data0 = numpy.random.rand(*shp0).astype(floatX)
+            data1 = numpy.random.rand(*shp1).astype(floatX)
+            utt.verify_grad(tensor.outer, [data0, data1])
+
 
 class T_subtensor(unittest.TestCase, utt.TestOptimizationMixin):
     """