Use prepare_node() instead of make_thunk() in Elemwise.

theano/tensor/elemwise.py

@@ -793,8 +793,7 @@ class Elemwise(OpenMPOp):
 
         return ret
 
-    def make_thunk(self, node, storage_map, compute_map, no_recycling):
-        node_ = node
+    def prepare_node(self, node):
         # Postpone the ufunc building to the last minutes
         # NumPy ufunc support only up to 31 inputs.
         # But our c code support more.
@@ -830,8 +829,6 @@ class Elemwise(OpenMPOp):
             char = numpy.sctype2char(out_dtype)
             sig = char * node.nin + '->' + char * node.nout
             node.tag.sig = sig
-        return super(Elemwise, node_.op).make_thunk(node_, storage_map,
-                                                    compute_map, no_recycling)
 
     def perform(self, node, inputs, output_storage):
         if len(node.inputs) >= 32:
@@ -1273,19 +1270,6 @@ class Elemwise(OpenMPOp):
         """
         return node.outputs[0].ndim == 0
 
-theano.compile.debugmode.default_make_thunk.append(
-    get_unbound_function(Elemwise.make_thunk))
-
-# def elemwise_to_scal(fgraph):
-# TODO: why is this commented out? should it be removed?
-#       it has needed maintenance despite being commented
-#     mapping = {}
-#     inputs = []
-#     outputs = []
-#     for node in fgraph.io_toposort():
-#         if not isinstance(node.op, Elemwise):
-#             raise TypeError('All ops in the graph must be Elemwise.')
-
 
 ################
 #   CAReduce   #