diff --git a/x2paddle/__init__.py b/x2paddle/__init__.py
index 9a41e3bcf65cbd37e2309f71b60d9f2dedddec34..ff7b40beed8256bca3da13920d4d2707de286731 100644
--- a/x2paddle/__init__.py
+++ b/x2paddle/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "0.8.4"
+__version__ = "0.8.5"
 
 from .core.program import PaddleGraph
 
diff --git a/x2paddle/op_mapper/pytorch2paddle/aten.py b/x2paddle/op_mapper/pytorch2paddle/aten.py
index d49f2680bf83afe9861650d338ba8103ae36f752..b5f25ad65a17a7f80f0f95d43912e888408b2a06 100644
--- a/x2paddle/op_mapper/pytorch2paddle/aten.py
+++ b/x2paddle/op_mapper/pytorch2paddle/aten.py
@@ -423,7 +423,7 @@ def aten_avg_pool2d(mapper, graph, node):
     graph.add_layer(
         "prim.assert",
         inputs={},
-        outputs=[inputs_name[6]],
+        outputs=[inputs_name[6] + "_assert"],
         type="eq",
         key=mapper.attrs[inputs_name[6]],
         value=None)
@@ -1473,7 +1473,7 @@ def aten_flatten(mapper, graph, node):
     graph.add_layer(
         "prim.assert",
         inputs={},
-        outputs=[inputs_name[1]],
+        outputs=[inputs_name[1] + "_assert"],
         type='eq',
         key=mapper.attrs[inputs_name[1]],
         value=1)
@@ -1481,7 +1481,7 @@ def aten_flatten(mapper, graph, node):
     graph.add_layer(
         "prim.assert",
         inputs={},
-        outputs=[inputs_name[2]],
+        outputs=[inputs_name[2] + "_assert"],
         type='eq',
         key=mapper.attrs[inputs_name[2]],
         value=-1)
@@ -2378,7 +2378,7 @@ def aten_max_pool2d(mapper, graph, node):
     graph.add_layer(
         "prim.assert",
         inputs={},
-        outputs=[inputs_name[4]],
+        outputs=[inputs_name[4] + "_assert"],
         type="eq",
         key=mapper.attrs[inputs_name[4]],
         value=[1, [1, 1]])
@@ -3912,6 +3912,7 @@ def aten_upsample_bilinear2d(mapper, graph, node):
         type="eq")
     layer_inputs["scale_factor"] = inputs_name[3]
     layer_attrs["align_mode"] = 0
+    layer_attrs["mode"] = string("bilinear")
     graph.add_layer(
         "paddle.nn.functional.interpolate",
         inputs=layer_inputs,
diff --git a/x2paddle/optimizer/pytorch_optimizer/__init__.py b/x2paddle/optimizer/pytorch_optimizer/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391