fixed the fix

theano/tensor/elemwise.py

@@ -690,6 +690,7 @@ class CAReduce(Op):
         return input_dtype
 
     def make_node(self, input):
+        if self.axis is not None:
             for axis in self.axis:
                 if axis >= input.type.ndim:
                     raise TypeError('Not enough dimensions on %s to reduce on axis %s' % (input, axis))

theano/tensor/opt.py

@@ -497,7 +497,8 @@ class Canonizer(gof.LocalOptimizer):
         parent = input.owner
 
         # We get the (num, denum) pairs for each input
-        pairs = [self.get_num_denum(input2) if input2.type.dtype == input.type.dtype else ([input2], []) for input2 in parent.inputs]
+        #pairs = [self.get_num_denum(input2) if input2.type.dtype == input.type.dtype else ([input2], []) for input2 in parent.inputs]
+        pairs = [self.get_num_denum(input2) for input2 in parent.inputs]
 
         if parent.op == self.main:
             # If we have main(x, y), numx, denumx, numy and denumy