add logic to deal with scan as a while and profiling

theano/scan_module/scan_utils.py

@@ -597,6 +597,8 @@ def compress_outs(op, not_required, inputs):
     info['inplace']            = op.info['inplace']
     info['gpu']                = op.info['gpu']
     info['mode']               = op.info['mode']
+    info['as_while']           = op.info['as_while']
+    info['profile']            = op.info['profile']
 
     op_inputs   = op.inputs[:op.n_seqs]
     op_outputs  = []
@@ -705,6 +707,10 @@ def compress_outs(op, not_required, inputs):
     # other stuff
     op_inputs += op.inputs[i_offset:]
     node_inputs += inputs[ni_offset+op.n_shared_outs+op.n_nit_sot:]
+    if op.as_while:
+        op_outputs += [op.outputs[o_offset]]
+        map_old_new[o_offset] = len(op_outputs)-1
+        #map_old_new[len(op_outputs)-1] = o_offset
 
     return (op_inputs, op_outputs, info, node_inputs, map_old_new)
 
@@ -748,10 +754,10 @@ class scan_args(object):
                  _inner_inputs, _inner_outputs, info):
         self.n_steps = outer_inputs[0]
         rval = reconstruct_graph(_inner_inputs, _inner_outputs, '_merge')
-        #if info['as_while']:
-        #    self.cond = [rval[1][-1]]
-        #    inner_outputs = rval[1][:-1]
-        #else:
+        if info['as_while']:
+            self.cond = [rval[1][-1]]
+            inner_outputs = rval[1][:-1]
+        else:
             inner_outputs = rval[1]
         inner_inputs  = rval[0]
 
@@ -852,7 +858,7 @@ class scan_args(object):
 
         self.other_info = dict()
         for k in ('truncate_gradient', 'name', 'mode', 'inplace',
-                  'gpu', 'profile'):
+                  'gpu','as_while', 'profile'):
             self.other_info[k] = info[k]
 
     inner_inputs = property(lambda self: (self.inner_in_seqs +