fixed error in canonizer

theano/tensor/opt.py

@@ -706,28 +706,13 @@ class Canonizer(gof.LocalOptimizer):
             return False
 
         new = self.merge_num_denum(num, denum)
-        if new.dtype != out.dtype:
+        if new.type.dtype != out.type.dtype:
             #new = T.fill(out, new)
             elem_op = T.Elemwise(scalar.Identity(scalar.specific_out(getattr(scalar, out.type.dtype))))
-            new = T.fill(out, elem_op(new))
-
-        if new.broadcastable != out.broadcastable:
-            #this case is tricky... we need to provide exactly the same kind of broadcastable
-            #pattern, but only if legal...
-            dlen = len(new.broadcastable) - len(out.broadcastable)
-
-            if dlen > 0:
-                #try to take the leading ranks of new.broadcastable, which should be broadcastable
-                # ranks
-                #if this means skipping over nonbroadcastable ranks, then DimShuffle will fail
-                dimshuffle_op = T.DimShuffle(new.broadcastable, 
-                        range(dlen, len(new.broadcastable)))
-                new = dimshuffle_op(new)
-            elif dlen < 0:
-                #we have to boost up a scalar or something
-                dimshuffle_op = T.DimShuffle(new.broadcastable, 
-                        ['x' for x in range(-dlen)] + range(0, len(new.broadcastable)))
-                new = dimshuffle_op(new)
+            new = elem_op(new)
+
+        if new.type.broadcastable != out.type.broadcastable:
+            new = T.fill(out, new)
 
         # if our if's above worked, this should be true. OTW investigate.
         if new.type != out.type: