fix test in FAST_COMPILE mode.

theano/tensor/tests/test_opt.py

@@ -1531,23 +1531,23 @@ def test_constant_get_stabilized():
     #When this error is fixed, the following line should be ok.
     assert f()==800,f()
 
-class T_local_sum_canonicalize(unittest.TestCase):
+class T_local_sum(unittest.TestCase):
     def setUp(self):
         self.mode = theano.compile.get_default_mode().including('canonicalize')
 
     def test_local_sum_all_to_none(self):
         a = T.tensor3()
         input=numpy.arange(3*3*3).reshape(3,3,3)
-        f = theano.function([a],a.sum())
+        f = theano.function([a],a.sum()),mode=self.mode)
         assert len(f.maker.env.nodes)==1
         assert numpy.allclose(f(input),input.sum())
 
-        f = theano.function([a],a.sum([0,1,2]))
+        f = theano.function([a],a.sum([0,1,2]),mode=self.mode)
         assert len(f.maker.env.nodes)==1
         assert numpy.allclose(f(input),input.sum())
 
 
-        f = theano.function([a],a.sum(0).sum(0).sum(0))
+        f = theano.function([a],a.sum(0).sum(0).sum(0),mode=self.mode)
         assert len(f.maker.env.nodes)==1
         assert numpy.allclose(f(input),input.sum())
 
@@ -1557,19 +1557,19 @@ class T_local_sum_canonicalize(unittest.TestCase):
         dims=[(0,0),(1,0),(2,0),(0,1),(1,1),(2,1)]
 
         for d,dd in dims:
-            f = theano.function([a],a.sum(d).sum(dd))
+            f = theano.function([a],a.sum(d).sum(dd),mode=self.mode)
             assert numpy.allclose(f(input),input.sum(d).sum(dd))
             assert len(f.maker.env.nodes)==1
         for d,dd in dims:
-            f = theano.function([a],a.sum(d).sum(dd).sum(0))
+            f = theano.function([a],a.sum(d).sum(dd).sum(0),mode=self.mode)
             assert numpy.allclose(f(input),input.sum(d).sum(dd).sum(0))
             assert len(f.maker.env.nodes)==1
         for d in [0,1,2]:
-            f = theano.function([a],a.sum(d).sum(None))
+            f = theano.function([a],a.sum(d).sum(None),mode=self.mode)
             assert numpy.allclose(f(input),input.sum(d).sum())
             assert len(f.maker.env.nodes)==1
         for d in [0,1,2]:
-            f = theano.function([a],a.sum(None).sum())
+            f = theano.function([a],a.sum(None).sum(),mode=self.mode)
             assert numpy.allclose(f(input),input.sum())
             assert len(f.maker.env.nodes)==1