Fixed norm tests.

theano/sandbox/linalg/tests/test_linalg.py

@@ -637,41 +637,20 @@ class Matrix_power():
         self.assertRaises(ValueError, f, a)
 
 class T_NormTests(unittest.TestCase):
-    try:
         def test_wrong_type_of_ord_for_vector(self):
             self.assertRaises(ValueError, norm, [2,1],'fro',0)
-    except TypeError:
-        raise SkipTest('Your numpy version is outdated.')
-    try:
         def test_wrong_type_of_ord_for_vector_in_matrix(self):
             self.assertRaises(ValueError, norm, [[2,1],[3,4]],'fro',0)
-    except TypeError:
-        raise SkipTest('Your numpy version is outdated.')
-    try:
         def test_wrong_type_of_ord_for_vector_in_tensor(self):
             self.assertRaises(ValueError, norm, [[[2,1],[3,4]],[[6,5],[7,8]]],'fro',0)
-    except TypeError:
-        raise SkipTest('Your numpy version is outdated.')
-    try:
         def test_wrong_type_of_ord_for_matrix(self):
             self.assertRaises(ValueError, norm, [[2,1],[3,4]],0,None)
-    except TypeError:
-        raise SkipTest('Your numpy version is outdated.')
-    try:
         def test_wrong_type_of_ord_for_matrix_in_tensor(self):
             self.assertRaises(ValueError, norm, [[[2,1],[3,4]],[[6,5],[7,8]]],0,None)
-    except TypeError:
-        raise SkipTest('Your numpy version is outdated.')
-    try:
         def test_non_tensorial_input(self):
             self.assertRaises(ValueError, norm, 3, None, None)
-    except TypeError:
-        raise SkipTest('Your numpy version is outdated.')
-    try:
         def test_no_enough_dimensions(self):
             self.assertRaises(ValueError, norm, [[2,1],[3,4]], None, 3)
-    except TypeError:
-        raise SkipTest('Your numpy version is outdated.')
     try:
         def test_numpy_compare(self):
             rng = numpy.random.RandomState(utt.fetch_seed())