diff --git a/x2paddle/op_mapper/dygraph/tf2paddle/tf_op_mapper.py b/x2paddle/op_mapper/dygraph/tf2paddle/tf_op_mapper.py
index 37136a12b2fa6b2c36e9382561f6b501c46edd69..e30bef79e204692e66975a7638effddf8bcded34 100644
--- a/x2paddle/op_mapper/dygraph/tf2paddle/tf_op_mapper.py
+++ b/x2paddle/op_mapper/dygraph/tf2paddle/tf_op_mapper.py
@@ -1065,6 +1065,24 @@ class TFOpMapper(OpMapper):
             ],
             num_or_sections=num_split,
             axis=dim)
+        
+    def SplitV(self, node):
+        input = self.graph.get_input_node(node, 0)
+        size_splits = self.graph.get_input_node(node, 1)
+        assert size_splits.layer_type == "Const", "size_splits of SplitV OP should be Const"
+        size_splits = size_splits.value.tolist()
+        dim = self.graph.get_input_node(node, 2)
+        assert dim.layer_type == "Const", "dim of SplitV OP should be Const"
+        dim = dim.value
+        
+        self.paddle_graph.add_layer(
+            kernel="paddle.split",
+            inputs={"x": input.name},
+            outputs=[
+                "{}_p{}".format(node.layer_name, i) for i in range(len(size_splits))
+            ],
+            num_or_sections=size_splits,
+            axis=dim)
 
     def Slice(self, node):
         input = self.graph.get_input_node(node, 0)
diff --git a/x2paddle/op_mapper/static/tf2paddle/tf_op_mapper.py b/x2paddle/op_mapper/static/tf2paddle/tf_op_mapper.py
index 338b15e9ed03bbd973de175fddcc72aedb1b2745..7df97dc6dda557102a1b1cd8e7b68a0ef5963b7d 100644
--- a/x2paddle/op_mapper/static/tf2paddle/tf_op_mapper.py
+++ b/x2paddle/op_mapper/static/tf2paddle/tf_op_mapper.py
@@ -1042,6 +1042,24 @@ class TFOpMapper(OpMapper):
             ],
             num_or_sections=num_split,
             axis=dim)
+        
+    def SplitV(self, node):
+        input = self.graph.get_input_node(node, 0)
+        size_splits = self.graph.get_input_node(node, 1)
+        assert size_splits.layer_type == "Const", "size_splits of SplitV OP should be Const"
+        size_splits = size_splits.value.tolist()
+        dim = self.graph.get_input_node(node, 2)
+        assert dim.layer_type == "Const", "dim of SplitV OP should be Const"
+        dim = dim.value
+        
+        self.paddle_graph.add_layer(
+            kernel="paddle.split",
+            inputs={"x": input.name},
+            outputs=[
+                "{}_p{}".format(node.layer_name, i) for i in range(len(size_splits))
+            ],
+            num_or_sections=size_splits,
+            axis=dim)
 
     def Slice(self, node):
         input = self.graph.get_input_node(node, 0)
diff --git a/x2paddle/optimizer/fusion/dygraph/tf_batchnorm_fuser.py b/x2paddle/optimizer/fusion/dygraph/tf_batchnorm_fuser.py
index f3af6b08db3a7e9f817a47b26db389b6e279bf4c..6a53b1db29959a8cf7088347647db092b24f458c 100644
--- a/x2paddle/optimizer/fusion/dygraph/tf_batchnorm_fuser.py
+++ b/x2paddle/optimizer/fusion/dygraph/tf_batchnorm_fuser.py
@@ -74,7 +74,7 @@ class DygraphTFBatchNormFuser(FuseBase):
             inputs={},
             outputs=[gen_name(8)])
         pattern.add_layer(
-            "fluid.layers.elementwise_sub",
+            "paddle.subtract",
             inputs={"x": gen_name(8), "y": gen_name(7)},
             outputs=[gen_name(9)])
         pattern.add_layer(
@@ -131,7 +131,7 @@ class DygraphTFBatchNormFuser(FuseBase):
             inputs={},
             outputs=[gen_name(8)])
         pattern.add_layer(
-            "fluid.layers.elementwise_sub",
+            "paddle.subtract",
             inputs={"x": gen_name(8), "y": gen_name(7)},
             outputs=[gen_name(9)])
         pattern.add_layer(
@@ -180,7 +180,7 @@ class DygraphTFBatchNormFuser(FuseBase):
                 if matches[out_layer_id].kernel == "paddle.multiply":
                     gamma_layer_id = graph.edges_in[out_layer_id][1]
                     gamma_layer = matches[gamma_layer_id]
-            if layer.kernel == "fluid.layers.elementwise_sub":
+            if layer.kernel == "paddle.subtract":
                 in_layer_id = graph.edges_in[layer_id][0]
                 beta_layer = matches[in_layer_id]
                 in_layer_id = graph.edges_in[layer_id][1]
diff --git a/x2paddle/optimizer/fusion/static/tf_batchnorm_fuser.py b/x2paddle/optimizer/fusion/static/tf_batchnorm_fuser.py
index 796556bb96908be48fb4eca654c054b821da575f..1299b34d7664c10cc078679605932719ae0d9d11 100644
--- a/x2paddle/optimizer/fusion/static/tf_batchnorm_fuser.py
+++ b/x2paddle/optimizer/fusion/static/tf_batchnorm_fuser.py
@@ -73,7 +73,7 @@ class StaticTFBatchNormFuser(FuseBase):
             inputs={},
             outputs=[gen_name(8)])
         pattern.add_layer(
-            "fluid.layers.elementwise_sub",
+            "paddle.subtract",
             inputs={"x": gen_name(8), "y": gen_name(7)},
             outputs=[gen_name(9)])
         pattern.add_layer(
@@ -130,7 +130,7 @@ class StaticTFBatchNormFuser(FuseBase):
             inputs={},
             outputs=[gen_name(8)])
         pattern.add_layer(
-            "fluid.layers.elementwise_sub",
+            "paddle.subtract",
             inputs={"x": gen_name(8), "y": gen_name(7)},
             outputs=[gen_name(9)])
         pattern.add_layer(
@@ -179,7 +179,7 @@ class StaticTFBatchNormFuser(FuseBase):
                 if matches[out_layer_id].kernel == "paddle.multiply":
                     gamma_layer_id = graph.edges_in[out_layer_id][1]
                     gamma_layer = matches[gamma_layer_id]
-            if layer.kernel == "fluid.layers.elementwise_sub":
+            if layer.kernel == "paddle.subtract":
                 in_layer_id = graph.edges_in[layer_id][0]
                 beta_layer = matches[in_layer_id]
                 in_layer_id = graph.edges_in[layer_id][1]