diff --git a/examples/dgi/train.py b/examples/dgi/train.py
index 67742093486e9e391cea0d141d504580c2985df0..a23e4e7b8a154f706f9654a6aa69f131af922dde 100644
--- a/examples/dgi/train.py
+++ b/examples/dgi/train.py
@@ -65,7 +65,6 @@ def main(args):
     with fluid.program_guard(train_program, startup_program):
         gw = pgl.graph_wrapper.GraphWrapper(
             name="graph",
-            place=place,
             node_feat=dataset.graph.node_feat_info())
 
         output = pgl.layers.gcn(gw,
diff --git a/examples/distribute_graphsage/train.py b/examples/distribute_graphsage/train.py
index fa52e3e002b52e14db5ea4e893377476eada41ef..4faafdd504415efd954f09d6d54dc7b38e6287c5 100644
--- a/examples/distribute_graphsage/train.py
+++ b/examples/distribute_graphsage/train.py
@@ -170,7 +170,7 @@ def main(args):
 
     with fluid.program_guard(train_program, startup_program):
         graph_wrapper = pgl.graph_wrapper.GraphWrapper(
-            "sub_graph", fluid.CPUPlace(), node_feat=[('feats', [None, 602], np.dtype('float32'))])
+            "sub_graph", node_feat=[('feats', [None, 602], np.dtype('float32'))])
         model_loss, model_acc = build_graph_model(
             graph_wrapper,
             num_class=data["num_class"],
diff --git a/examples/graphsage/train.py b/examples/graphsage/train.py
index da20f6e9643b25b800b87d3935feedaf3ec2a62b..463e0b6d4d6457d0307223e21dc79d246a2ef656 100644
--- a/examples/graphsage/train.py
+++ b/examples/graphsage/train.py
@@ -204,8 +204,8 @@ def main(args):
 
         graph_wrapper = pgl.graph_wrapper.GraphWrapper(
             "sub_graph",
-            fluid.CPUPlace(),
             node_feat=data['graph'].node_feat_info())
+
         model_loss, model_acc = build_graph_model(
             graph_wrapper,
             num_class=data["num_class"],
diff --git a/examples/graphsage/train_multi.py b/examples/graphsage/train_multi.py
index eda3a341c99e4f4b7123dc3eebf0f7f2f79617ad..1f8fe69c6496c2a6f4e933d3ea6aa7da01c50571 100644
--- a/examples/graphsage/train_multi.py
+++ b/examples/graphsage/train_multi.py
@@ -231,7 +231,6 @@ def main(args):
     with fluid.program_guard(train_program, startup_program):
         graph_wrapper = pgl.graph_wrapper.GraphWrapper(
             "sub_graph",
-            fluid.CPUPlace(),
             node_feat=data['graph'].node_feat_info())
 
         model_loss, model_acc = build_graph_model(
diff --git a/examples/graphsage/train_scale.py b/examples/graphsage/train_scale.py
index f0625d0202b37ca4153b3077451b5032edaf0fbf..c6fce995246e0244badf51e6bc3583d9fc7be9c7 100644
--- a/examples/graphsage/train_scale.py
+++ b/examples/graphsage/train_scale.py
@@ -227,7 +227,6 @@ def main(args):
     with fluid.program_guard(train_program, startup_program):
         graph_wrapper = pgl.graph_wrapper.GraphWrapper(
             "sub_graph",
-            fluid.CPUPlace(),
             node_feat=data['graph'].node_feat_info())
 
         model_loss, model_acc = build_graph_model(
diff --git a/examples/stgcn/main.py b/examples/stgcn/main.py
index 6be8df9991177daf2ba9fed1f39eebbb8e8ad83f..26adb6a4e6f3c81b4e4e2d35e3f049d0d80f03f5 100644
--- a/examples/stgcn/main.py
+++ b/examples/stgcn/main.py
@@ -49,7 +49,6 @@ def main(args):
     with fluid.program_guard(train_program, startup_program):
         gw = pgl.graph_wrapper.GraphWrapper(
             "gw",
-            place,
             node_feat=[('norm', [None, 1], "float32")],
             edge_feat=[('weights', [None, 1], "float32")])
 
diff --git a/examples/unsup_graphsage/train.py b/examples/unsup_graphsage/train.py
index a53ffdcb042e74ed262b10a44e0b5c36fad3b1ef..cc7351bb58a05eed05b6f020fc87d41bf1ce6ef9 100644
--- a/examples/unsup_graphsage/train.py
+++ b/examples/unsup_graphsage/train.py
@@ -88,7 +88,7 @@ def build_graph_model(args):
 
     graph_wrappers.append(
         pgl.graph_wrapper.GraphWrapper(
-            "layer_0", fluid.CPUPlace(), node_feat=node_feature_info))
+            "layer_0", node_feat=node_feature_info))
     #edge_feat=[("f", [None, 1], "float32")]))
 
     num_embed = args.num_nodes
diff --git a/pgl/graph_wrapper.py b/pgl/graph_wrapper.py
index 3f30da477a5e97287315efc4e693eaa022399d84..e8e6cb4c8ba97a847169a0ed43d6e063f7f37dbe 100644
--- a/pgl/graph_wrapper.py
+++ b/pgl/graph_wrapper.py
@@ -516,7 +516,6 @@ class GraphWrapper(BaseGraphWrapper):
                         })
 
             graph_wrapper = GraphWrapper(name="graph",
-                        place=place,
                         node_feat=graph.node_feat_info(),
                         edge_feat=graph.edge_feat_info())
 
@@ -531,12 +530,11 @@ class GraphWrapper(BaseGraphWrapper):
                 ret = exe.run(fetch_list=[...], feed=feed_dict )
     """
 
-    def __init__(self, name, place, node_feat=[], edge_feat=[]):
+    def __init__(self, name, node_feat=[], edge_feat=[], **kwargs):
         super(GraphWrapper, self).__init__()
         # collect holders for PyReader
         self._data_name_prefix = name
         self._holder_list = []
-        self._place = place
         self.__create_graph_attr_holders()
         for node_feat_name, node_feat_shape, node_feat_dtype in node_feat:
             self.__create_graph_node_feat_holders(