use simpler elemwise code for [broadcasted] scalar.

theano/tensor/elemwise.py

@@ -1091,7 +1091,10 @@ class Elemwise(Op):
             %(undefs)s
         }
         """ % locals()
-        if all([o.ndim <= 1 for o in node.outputs]):
+        if all([o.ndim <= 1 for o in node.outputs] or
+               # Use simpler code when output ndim == 0 or 1
+               # or for broadcated scalar.
+               all(node.outputs[0].broadcastable)):
             if nnested:
                 all_code = [("", "")] * (nnested - 1) + [("", code)] + [""]
             else:
@@ -1113,7 +1116,9 @@ class Elemwise(Op):
         # If all inputs and outputs are contiguous
         # and the scalar op define optimized code for that case
         # use it! The scalar_op need to check the broadcast flag himself.
-        if all([o.ndim >= 1 for o in node.outputs]):
+        if (all([o.ndim >= 1 for o in node.outputs]) and
+            # Don't use the contig code for broadcasted scalar.
+            not all(node.outputs[0].broadcastable)):
             contig = None
             try:
                 contig = self.scalar_op.c_code_contiguous(
@@ -1188,7 +1193,7 @@ class Elemwise(Op):
         return support_code
 
     def c_code_cache_version_apply(self, node):
-        version = [10]  # the version corresponding to the c code in this Op
+        version = [11]  # the version corresponding to the c code in this Op
 
         # now we insert versions for the ops on which we depend...
         scalar_node = Apply(self.scalar_op,