small fix. python don't seam to like that we put the default value of an…

theano/compile/function_module.py

@@ -665,7 +665,7 @@ class FunctionMaker(object):
             raise TypeError("Unknown output type: %s (%s)", type(output), output)
 
     def __init__(self, inputs, outputs, 
-            mode = mode_module.get_default_mode(), accept_inplace = False, function_builder = Function):
+            mode = None, accept_inplace = False, function_builder = Function):
         """
         :type inputs: a list of SymbolicInput instances
 
@@ -681,6 +681,9 @@ class FunctionMaker(object):
                     in the graph from the inputs to the outputs
         """
 
+        if mode is None:
+          mode = mode_module.default_mode
+
         # Handle the case where inputs and/or outputs is a single Variable (not in a list)
         unpack_single = False
         return_none = False
@@ -704,6 +707,7 @@ class FunctionMaker(object):
         self.env = env
 
         # Fetch the mode and then the optimizer and linker
+        mode = mode_module.predefined_modes.get(mode, mode)
         optimizer, linker = mode.optimizer, copy.copy(mode.linker)
 
         # optimize the env
@@ -831,7 +835,7 @@ def register_checker(checker):
 
 
 
-def function(inputs, outputs, mode=mode_module.get_default_mode(), accept_inplace = False):
+def function(inputs, outputs, mode=None, accept_inplace = False):
     """
     Return a Function that will calculate the outputs from the inputs.
 
@@ -866,6 +870,8 @@ def function(inputs, outputs, mode=mode_module.get_default_mode(), accept_inplac
     #`Out` instance if necessary:
 
     t1 = time.time()
+    if mode is None:
+        mode = mode_module.default_mode
 
     inputs = map(convert_function_input, inputs)
     if outputs is not None:
@@ -876,6 +882,7 @@ def function(inputs, outputs, mode=mode_module.get_default_mode(), accept_inplac
 
     defaults = [getattr(input, 'value', None) for input in inputs]
 
+    mode = mode_module.predefined_modes.get(mode, mode)
     if isinstance(mode, (list, tuple)): # "mode comparison" semantics
         _logger.warning('Passing multiple modes is deprecated (20091019)')
         if not mode: