diff --git a/x2paddle/core/convert_prim.py b/x2paddle/core/convert_prim.py
index eb8900083f7974f15fdce1c4dd61fd023ab73700..6765aa632b178895f290adc5149e6a7a50a8aeff 100644
--- a/x2paddle/core/convert_prim.py
+++ b/x2paddle/core/convert_prim.py
@@ -62,8 +62,7 @@ def convert_prim(layer, indent=1, init_func=[], forward_func=[]):
         inputs_list = list(layer.inputs.values())
         for i, input in enumerate(inputs_list):
             if input is None:
-                inputs_list[i] = str(layer.attrs[list(layer.inputs.keys())[
-                    i]])
+                inputs_list[i] = str(layer.attrs[list(layer.inputs.keys())[i]])
         inputs_str = ', '.join(inputs_list)
         line = "{} = [{}]".format(layer.outputs[0], inputs_str)
     elif layer.kernel == "prim.exception":
@@ -131,6 +130,5 @@ def convert_prim(layer, indent=1, init_func=[], forward_func=[]):
             attrs_str += "{}:".format(v)
         attrs_str = attrs_str[:-1]
         line = "{} = {}[{}]".format(layer.outputs[0],
-                                    list(layer.inputs.values())[0],
-                                    attrs_str)
+                                    list(layer.inputs.values())[0], attrs_str)
     forward_func.extend(gen_codes([line], indent=indent))
diff --git a/x2paddle/core/program.py b/x2paddle/core/program.py
index 033795b262d3e2bcfaff1c3525e8b72d3d159dd6..2ee5efebaeeba4f5cee336a6f8f30359a788a4ed 100644
--- a/x2paddle/core/program.py
+++ b/x2paddle/core/program.py
@@ -129,7 +129,7 @@ class PaddleGraph(object):
             if len(layer.blocks) > 0:
                 for block in layer.blocks:
                     block.build(layer.inputs, layer.outputs)
-                    
+
         if self.graph_type == "dygraph":
             self.get_dygraph_inputs()
             self.get_dygraph_outputs()
@@ -284,6 +284,7 @@ class PaddleGraph(object):
                     for block in layer.blocks:
                         block.get_dygraph_inputs()
                         self.inputs.extend(block.inputs)
+
         update(self.layers)
         self.inputs = list(set(self.inputs))
 
@@ -310,7 +311,7 @@ class PaddleGraph(object):
                 else:
                     codes.append(indent_blank + code_line + '\n')
             return codes
-        
+
         def gen_head():
             self.head = gen_codes(
                 [
@@ -332,7 +333,7 @@ class PaddleGraph(object):
                 gen_codes(
                     ["def forward(self, {}):".format(input_data_name)],
                     indent=1))
-            
+
         def write_code(code_dir):
             f = open(os.path.join(code_dir, 'code.py'), 'w')
             for code_line in self.head:
@@ -396,9 +397,11 @@ class PaddleGraph(object):
                 self.forward_func.extend(gen_codes([line], indent=indent))
             elif "prim" in layer.kernel:
                 from .convert_prim import convert_prim
-                convert_prim(layer, indent=indent, 
-                             init_func=self.init_func, 
-                             forward_func=self.forward_func)
+                convert_prim(
+                    layer,
+                    indent=indent,
+                    init_func=self.init_func,
+                    forward_func=self.forward_func)
             else:
                 if len(layer.outputs) == 1:
                     line = layer.outputs[0]
diff --git a/x2paddle/optimizer/passes.py b/x2paddle/optimizer/passes.py
index 9f10a7ed8aa987ae3ec283320ee40d8cd9fd24a6..2987f7934e05bf443c2531a1ac70d51dc697a98e 100644
--- a/x2paddle/optimizer/passes.py
+++ b/x2paddle/optimizer/passes.py
@@ -30,11 +30,11 @@ class PyTorchMatcher(Matcher):
     def __init__(self):
         super(PyTorchMatcher, self).__init__()
 
-    def match_pattern(self, pattern, graph, start_id):
+    def match_pattern(self, pattern, graph, start_index):
         pattern_index = 0
         pattern_global_layers = pattern.get_global_layers()
         subgraph_global_layers = dict()
-        graph_layers = dict(list(graph.layers.items())[start_id:])
+        graph_layers = dict(list(graph.layers.items())[start_index:])
         for layer_id, layer in graph_layers.items():
             pattern_layer = pattern.layers[list(pattern.layers.keys())[
                 pattern_index]]