Make sure to always return arrays.

theano/tensor/extra_ops.py

@@ -1218,7 +1218,7 @@ class UnravelIndex(gof.Op):
         res = np.unravel_index(indices, dims)
         assert len(res) == len(out)
         for i in xrange(len(out)):
-            out[i][0] = res[i]
+            out[i][0] = theano._asarray(res[i])
 
 
 def unravel_index(indices, dims, order='C', ndim=None):
@@ -1304,8 +1304,9 @@ class RavelMultiIndex(gof.Op):
 
     def perform(self, node, inp, out):
         multi_index, dims = inp[:-1], inp[-1]
-        out[0][0] = np.ravel_multi_index(multi_index, dims,
-                                         mode=self.mode, order=self.order)
+        res = np.ravel_multi_index(multi_index, dims,
+                                   mode=self.mode, order=self.order)
+        out[0][0] = theano._asarray(res)
 
 
 def ravel_multi_index(multi_index, dims, mode='raise', order='C'):