Make the reduce tests pass and fix reference to old alias for shape

theano/tensor/opt.py

@@ -1203,9 +1203,9 @@ def local_useless_alloc(node):
 
 @register_specialize
 @register_canonicalize
-@gof.local_optimizer([T._shape])
+@gof.local_optimizer([T.shape])
 def local_shape_to_shape_i(node):
-    if node.op == T._shape:
+    if node.op == T.shape:
         # This optimization needs ShapeOpt and fgraph.shape_feature
         if not hasattr(node.fgraph, 'shape_feature'):
             return
@@ -3270,9 +3270,12 @@ def local_sum_sum(node):
                 combined_sum = T.Sum(newaxis, dtype=out_dtype)
                 return [combined_sum(summed.owner.inputs[0])]
 
+ALL_REDUCE = [T.elemwise.CAReduce, T.elemwise.All, T.elemwise.Any,
+              T.elemwise.Sum, T.elemwise.Prod,
+              T.elemwise.ProdWithoutZeros]
 
 @register_canonicalize
-@gof.local_optimizer([T.CAReduce])
+@gof.local_optimizer(ALL_REDUCE)
 def local_cut_useless_reduce(node):
     """Sum(a, axis=[]) -> a  """
     if isinstance(node.op, T.CAReduce):
@@ -3288,7 +3291,7 @@ def local_cut_useless_reduce(node):
 #
 #@register_canonicalize
 @register_specialize
-@gof.local_optimizer([T.CAReduce])
+@gof.local_optimizer(ALL_REDUCE)
 def local_reduce_broadcastable(node):
     """Remove reduction over broadcastable dimensions"""
     if isinstance(node.op, T.CAReduce):