diff --git a/paddleslim/prune/io.py b/paddleslim/prune/io.py
index a791cb20b36d5d99e8b9032854afaea911b96b24..5dcd781c1a658ee757441207a1801174784fdfcc 100644
--- a/paddleslim/prune/io.py
+++ b/paddleslim/prune/io.py
@@ -10,11 +10,11 @@ __all__ = ["save_model", "load_model"]
 
 _logger = get_logger(__name__, level=logging.INFO)
 
-PARAMS_FILE = "__params__"
-SHAPES_FILE = "__shapes__"
+_PARAMS_FILE = "__params__"
+_SHAPES_FILE = "__shapes__"
 
 
-def save_model(graph, dirname):
+def save_model(exe, graph, dirname):
     """
     Save weights of model and information of shapes into filesystem.
 
@@ -24,24 +24,24 @@ def save_model(graph, dirname):
     """
     assert graph is not None and dirname is not None
     graph = GraphWrapper(graph) if isinstance(graph, Program) else graph
-    exe = fluid.Executor(fluid.CPUPlace())
+
     fluid.io.save_params(
         executor=exe,
         dirname=dirname,
         main_program=graph.program,
-        filename=PARAMS_FILE)
-    weights_file = os.path.join(dirname, PARAMS_FILE)
+        filename=_PARAMS_FILE)
+    weights_file = os.path.join(dirname, _PARAMS_FILE)
     _logger.info("Save model weights into {}".format(weights_file))
     shapes = {}
     for var in graph.all_parameters():
         shapes[var.name()] = var.shape()
-    SHAPES_FILE = os.path.join(dirname, SHAPES_FILE)
+    SHAPES_FILE = os.path.join(dirname, _SHAPES_FILE)
     with open(SHAPES_FILE, "w") as f:
         json.dump(shapes, f)
         _logger.info("Save shapes of weights into {}".format(SHAPES_FILE))
 
 
-def load_model(graph, dirname):
+def load_model(exe, graph, dirname):
     """
     Load weights of model and information of shapes from filesystem.
 
@@ -51,9 +51,8 @@ def load_model(graph, dirname):
     """
     assert graph is not None and dirname is not None
     graph = GraphWrapper(graph) if isinstance(graph, Program) else graph
-    exe = fluid.Executor(fluid.CPUPlace())
 
-    SHAPES_FILE = os.path.join(dirname, SHAPES_FILE)
+    SHAPES_FILE = os.path.join(dirname, _SHAPES_FILE)
     _logger.info("Load shapes of weights from {}".format(SHAPES_FILE))
     with open(SHAPES_FILE, "r") as f:
         shapes = json.load(f)
@@ -62,13 +61,12 @@ def load_model(graph, dirname):
 
     _logger.info("Load shapes of weights from {}".format(SHAPES_FILE))
 
-    exe = fluid.Executor(fluid.CPUPlace())
     fluid.io.load_params(
         executor=exe,
         dirname=dirname,
         main_program=graph.program,
-        filename=PARAMS_FILE)
+        filename=_PARAMS_FILE)
     graph.update_groups_of_conv()
     graph.infer_shape()
     _logger.info("Load weights from {}".format(
-        os.path.join(dirname, PARAMS_FILE)))
+        os.path.join(dirname, _PARAMS_FILE)))