save parameters into ordered dict.

python/paddle/v2/parameters.py

@@ -14,6 +14,7 @@
 
 import numpy as np
 from paddle.proto.ParameterConfig_pb2 import ParameterConfig
+from collections import OrderedDict
 import paddle.trainer.config_parser as cp
 import struct
 import tarfile
@@ -62,7 +63,7 @@ class Parameters(object):
     """
 
     def __init__(self):
-        self.__param_conf__ = dict()
+        self.__param_conf__ = OrderedDict()
         self.__gradient_machines__ = []
         self.__tmp_params__ = dict()
 
@@ -231,6 +232,9 @@ class Parameters(object):
         :rtype: np.ndarray
         """
         import py_paddle.swig_paddle as api
+        if self.__param_conf__[key].is_static:
+            return np.zeros(self.__param_conf__[key].size, dtype=np.float32)
+
         return self.__getter_inner(key, api.PARAMETER_GRADIENT)
 
     def set(self, parameter_name, value):