diff --git a/x2paddle/convert.py b/x2paddle/convert.py
index f897dc9bda711a3936c055f5a3822320f7f21674..8d0e838018e8b6a5337d8d0bd70613e7b7944f23 100644
--- a/x2paddle/convert.py
+++ b/x2paddle/convert.py
@@ -12,7 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from x2paddle.parser.tf_parser import TFParser
+from x2paddle.optimizer.tf_optimizer import TFGraphOptimizer
 
-parser = TFParser('/ssd2/Jason/github/X2Paddle/x2paddle/tests/frozen_darknet_yolov3_model.pb', 
+parser = TFParser('/ssd3/dltpsz/frozen_darknet_yolov3_model.pb', 
                 in_nodes=['inputs'], out_nodes=['output_boxes'],
                 in_shapes=[[-1, 416, 416, 3]])
+optimizer = TFGraphOptimizer()
+optimizer.remove_useless_node(parser.tf_graph)
+parser.tf_graph.print()
+
diff --git a/x2paddle/core/graph.py b/x2paddle/core/graph.py
index 18aa6831bf313ea19d629c2941357d607d468021..a2178ec1f837c59a009a2999dbc94ccf58061839 100644
--- a/x2paddle/core/graph.py
+++ b/x2paddle/core/graph.py
@@ -72,9 +72,6 @@ class Graph(object):
                     self.topo_sort.append(node)
             idx += 1
 
-        for i, tmp in enumerate(self.topo_sort):
-            print(tmp, self.node_map[tmp].layer_type, self.node_map[tmp].inputs)
-
     def get_node(self, name):
         if name not in self.node_map:
             raise Exception("Graph doesn't have node [%s]." % name)
@@ -86,3 +83,24 @@ class Graph(object):
             raise Exception("node[{}] not in graph".format(dst))
         self.node_map[dst].inputs.append(src)
         self.node_map[src].outputs.append(dst)
+
+    def remove_node(self, node_name):
+        if node_name not in self.node_map:
+            raise Exception("Node[{}] not in graph".format(node_name))
+        inputs = self.node_map[node_name].inputs
+        outputs = self.node_map[node_name].outputs
+        for input in inputs:
+            idx = self.node_map[input].outputs.index(node_name)
+            del self.node_map[input].outputs[idx]
+        for output in outputs:
+            idx = self.node_map[input].inputs.index(node_name)
+            del self.node_map[input].inputs[idx]
+        del self.node_map[node_name]
+
+        idx = self.topo_sort.index(node_name)
+        del self.topo_sort[idx]
+    
+    def print(self):
+        for i, tmp in enumerate(self.topo_sort):
+            print(tmp, self.node_map[tmp].layer_type, self.node_map[tmp].inputs)
+
diff --git a/x2paddle/optimizer/tf_optimizer.py b/x2paddle/optimizer/tf_optimizer.py
index 9d2775ce239e8d6516410409f2cc5a15e0a6fec9..3db266b61df4cc8e664b7796f1039756eb85b61b 100644
--- a/x2paddle/optimizer/tf_optimizer.py
+++ b/x2paddle/optimizer/tf_optimizer.py
@@ -23,8 +23,9 @@ class TFGraphOptimizer(object):
                 'NoOp']
 
     def remove_useless_node(self, graph):
-        for name, node in graph.node_map.items():
+        for node_name, node in graph.node_map.items():
             if node.layer_type in self.useless_op:
+                graph.remove_node(node_name)
 
 # TODO identity node remove
 
diff --git a/x2paddle/parser/tf_parser.py b/x2paddle/parser/tf_parser.py
index ef7b9fc201792c6623dacc3bc0936bbd333138ba..87503ffbcf7e46f84d90f1acea79f94122654fcd 100644
--- a/x2paddle/parser/tf_parser.py
+++ b/x2paddle/parser/tf_parser.py
@@ -44,7 +44,8 @@ class TFGraph(Graph):
                 else:
                     self.connect(in_node, layer_name)
 
-        super(TFGraph, self).build()
+        super(TFGraph, self).build()        
+
 
 class TFParser(object):
     def __init__(self, pb_model, in_nodes=None, out_nodes=None, in_shapes=None):