Make Join and GpuJoin raise error in make_node instead of run time.

theano/tensor/basic.py

@@ -3410,6 +3410,10 @@ class Join(Op):
                 bcastable = [False] * len(
                     as_tensor_variable_args[0].type.broadcastable)
 
+        if not python_all([x.ndim == len(bcastable)
+                           for x in as_tensor_variable_args[1:]]):
+            raise TypeError("Join() can only join tensor with the same number of dimensions.")
+
         inputs = [as_tensor_variable(axis)] + list(as_tensor_variable_args)
         if inputs[0].type not in int_types:
             raise TypeError('Axis could not be cast to an integer type',

theano/tensor/tests/test_basic.py

@@ -3317,6 +3317,12 @@ class T_Join_and_Split(unittest.TestCase):
                               numpy.concatenate([T_shared.get_value(),
                                                  T_shared.get_value()]))
 
+    def test_mixed_ndim_error(self):
+        rng = numpy.random.RandomState(seed=utt.fetch_seed())
+        v = self.shared(rng.rand(4).astype(self.floatX))
+        m = self.shared(rng.rand(4, 4).astype(self.floatX))
+        self.assertRaises(TypeError, self.join_op(), 0, v, m)
+
 
 class test_comparison(unittest.TestCase):
     """Test <, >, <=, >=, == and !=