Printing the nodes that aren't transferred

theano/gpuarray/opt.py

@@ -62,6 +62,9 @@ gpu_optimizer = EquilibriumDB()
 gpu_optimizer2 = EquilibriumDB()
 gpu_cut_copies = EquilibriumDB()
 
+old_not_transferred = []
+new_not_transferred = []
+
 
 class GraphToGPUDB(DB):
     """
@@ -191,6 +194,8 @@ def op_lifter(OP, cuda_only=False):
                     i.tag.context_name = context_name
 
                 new_op = maker(node.op, context_name, node.inputs, node.outputs)
+                if not new_op:
+                    old_not_transferred.append(node)
                 # This is needed as sometimes new_op inherits from OP.
                 if new_op and new_op != node.op:
                     if isinstance(new_op, theano.Op):
@@ -342,6 +347,8 @@ class GraphToGPU(NavigatorOptimizer):
             if not new_ops:
                 newnode = node.clone_with_new_inputs([mapping.get(i)
                                                       for i in node.inputs])
+                new_not_transferred.append(newnode)
+
                 outputs = newnode.outputs
             elif isinstance(new_ops, (tuple, list)):
                 outputs = []
@@ -406,6 +413,13 @@ class GraphToGPU(NavigatorOptimizer):
         not_used = []
         not_used_time = 0
 
+        for s in list(set(old_not_transferred)):
+            print(blanc, 'Nodes not transferred by old opt : ' + str(s), file=stream)
+        for n in list(set(new_not_transferred)):
+            print(blanc, 'Nodes not transferred by new optimizer : ' +str(n), file=stream)
+        for d in list(set(set(new_not_transferred) - set(old_not_transferred))):
+            print(blanc, 'Not transferred difference : ' , str(d), file=stream)
+
         for o, count in iteritems(process_count):
             if count > 0:
                 count_opt.append((time_opts[o], count,