Fixed a crash when rank greater than numpy.MAXDIMS is requested in dimshuffle.

theano/tensor/elemwise.py

@@ -340,6 +340,7 @@ class DimShuffle(Op):
                             #borrow only the writable flag from the base
                             # the NPY_OWNDATA flag will default to 0.
                             '(NPY_ARRAY_WRITEABLE*PyArray_ISWRITEABLE(%(basename)s)), NULL)'),
+                'if (%(res)s == NULL) %(fail)s;',
                 #recalculate flags: CONTIGUOUS, FORTRAN, ALIGNED
                 'PyArray_UpdateFlags(%(res)s, NPY_ARRAY_UPDATE_ALL)',
                 #we are making a view in both inplace and non-inplace cases

theano/tensor/tests/test_elemwise.py

@@ -95,6 +95,10 @@ class test_DimShuffle(unittest_tools.InferShapeTester):
                             [DimShuffle(ib, shuffle)(adtens)],
                             [adtens_val], DimShuffle)
 
+    def test_too_big_rank(self):
+        x = tensor.dscalar()
+        y = x.dimshuffle(('x',) * (numpy.MAXDIMS + 1))
+        self.assertRaises(ValueError, y.eval, {x: 0})
                           
 class test_Broadcast(unittest.TestCase):
     def setUp(self):