fix tests for advanced inc

theano/tensor/tests/test_basic.py

@@ -3131,10 +3131,6 @@ class T_subtensor(unittest.TestCase, utt.TestOptimizationMixin):
         n = self.shared(numpy.asarray(5, dtype=self.dtype))
         self.assertRaises(TypeError, n.__getitem__, [0, 0])
 
-    def test_err_invalid_not_2d(self):
-        n = self.shared(numpy.ones((3, 3, 3), dtype=self.dtype) * 5)
-        self.assertRaises(NotImplementedError, n.__getitem__,
-                          ([0, 0, 0], [1, 1, 1], [2, 2, 2]))
 
     def test_err_invalid_2list_dtype(self):
         n = self.shared(numpy.ones((3, 3), dtype=self.dtype) * 5)
@@ -3752,8 +3748,7 @@ class TestAdvancedSubtensor(unittest.TestCase):
     def test_inc_adv_selection(self):
         a = inc_subtensor(self.v[self.ix2], self.v[self.ix2])
 
-        typ = TensorType(self.v.type.dtype, self.ix2.type.broadcastable)
-        assert a.type == typ, (a.type,typ)
+        assert a.type == self.v.type, (a.type,self.v.type)
         f = theano.function([self.v, self.ix2], a, allow_input_downcast=True)
         aval = f([.4, .9, .1], [[1, 2],
                                 [1, 2]])