diff --git a/python/paddle/fluid/imperative/checkpoint.py b/python/paddle/fluid/imperative/checkpoint.py
index 97bad771793c1396f24df35506882bee578d7953..37c43f29d2ae9214058238e4f834dbbcd9e42df1 100644
--- a/python/paddle/fluid/imperative/checkpoint.py
+++ b/python/paddle/fluid/imperative/checkpoint.py
@@ -17,13 +17,12 @@ from __future__ import print_function
 import os
 import collections
 from .. import core
-from ..framework import Variable, Parameter, default_main_program
-from .layers import Layer
+from ..framework import Variable, default_main_program
 
 __all__ = ['save_persistables', 'load_persistables']
 
 
-def save_persistables(obj, dirname, filename=None):
+def save_persistables(vardict, dirname, filename=None):
     """
     This function filters out all variables in layer.parameters from the
     give `layer` and then trys to load these variables from the folder
@@ -35,7 +34,7 @@ def save_persistables(obj, dirname, filename=None):
     the file name.
 
     Args:
-        var_list(dict of Parameters|Layer): The parameters will
+        vardict(dict of Parameters): The parameters will
                                     be saved. If it is None, nothing
                                     will be deal.
         dirname(str): The directory path.
@@ -69,17 +68,14 @@ def save_persistables(obj, dirname, filename=None):
             dy_loss, last_hidden, last_cell = ptb_model(x, y, init_hidden,
                                                         init_cell)
             param_path = "./my_paddle_model"
-            fluid.imperative.checkpoint.save_persistables(ptb_model.parameters(), dirname=param_path,
+            fluid.imperative.checkpoint.save_persistables(ptb_model.state_dict(), dirname=param_path,
                                        layer=ptb_model)
     """
-    if isinstance(obj, collections.OrderedDict):
-        _save_var_to_file(obj, dirname, filename)
-    elif isinstance(obj, Layer):
-        _save_var_to_file(
-            obj.state_dict(include_sublayers=True), dirname, filename)
+    if isinstance(vardict, collections.OrderedDict):
+        _save_var_to_file(vardict, dirname, filename)
 
 
-def load_persistables(obj, dirname, filename=None):
+def load_persistables(vardict, dirname, filename=None):
     """
     This function trys to load persistable variables from the folder
     `dirname` or the file `filename`.
@@ -90,7 +86,7 @@ def load_persistables(obj, dirname, filename=None):
     the file name.
 
     Args:
-        obj(dict of Parameters|Layer): The parameters will be loaded.
+        vardict(dict of Parameters): The parameters will be loaded.
         dirname(str): The directory path.
         filename(str|None): The file which saved all variables, this file path should be end with '.npz'. If variables were
                             saved in differnet files, set it to None.
@@ -111,16 +107,13 @@ def load_persistables(obj, dirname, filename=None):
             my_layer = layer(fluid.imperative.Layer)
             param_path = "./my_paddle_model"
             filename = "model.file"
-            param_dict = fluid.imperative.checkpoint.load_persistables(my_layer, var_list, param_path,
+            param_dict = fluid.imperative.checkpoint.load_persistables(my_layer.state_dict(), param_path,
                                                                        filename=filename)
             param_1 = param_dict['PtbModel_0.w_1']
 
         """
-    if isinstance(obj, collections.OrderedDict):
-        return _load_var_from_file(obj, dirname, filename)
-    elif isinstance(obj, Layer):
-        return _load_var_from_file(
-            obj.state_dict(include_sublayers=True), dirname, filename)
+    if isinstance(vardict, collections.OrderedDict):
+        return _load_var_from_file(vardict, dirname, filename)
 
     return {}