remove duplicate optimization as one of them was not enabled.

theano/tensor/opt.py

@@ -712,13 +712,6 @@ def local_track_shape_i(node):
         replacement = shape_feature.scheduled[node]
         return [shape_feature.shape_of[replacement][node.op.i]]
 
-@register_specialize
-@register_canonicalize
-@gof.local_optimizer([T.Join])
-def local_useless_join(node):
-    if  isinstance(node.op, T.Join) and len(node.inputs)==2:
-        return [node.inputs[1]]
-
 @register_specialize
 @register_canonicalize
 @gof.local_optimizer([T.Subtensor])
@@ -1203,6 +1196,8 @@ def apply_rebroadcast_opt(rval):
 #############
 # Join opts #
 #############
+@register_specialize
+@register_canonicalize
 @gof.local_optimizer([T.Join])
 def local_join_1(node):
     """Join(i, x) => x

theano/tensor/tests/test_opt.py

@@ -2094,7 +2094,7 @@ def test_make_vector():
         except AssertionError:
             pass
 
-def test_local_useless_join():
+def test_local_join_1():
     #test for vector
     a = TT.vector('a')
     s = stack(a)