diff --git a/x2paddle/convert.py b/x2paddle/convert.py
index 4371fed04969aa72280978d27156154215a77cb2..b13852b33627dcfc7d32e06e524eb94ebf0fe831 100644
--- a/x2paddle/convert.py
+++ b/x2paddle/convert.py
@@ -67,8 +67,8 @@ def arg_parser():
     parser.add_argument(
         "--without_data_format_optimization",
         "-wo",
-        action="store_true",
-        default=False,
+        type=_text_type,
+        default="True",
         help="tf model conversion without data format optimization")
     parser.add_argument(
         "--define_input_shape",
@@ -135,14 +135,21 @@ def tf2paddle(model_path,
 
     from x2paddle.decoder.tf_decoder import TFDecoder
     from x2paddle.op_mapper.tf_op_mapper import TFOpMapper
-    from x2paddle.op_mapper.tf_op_mapper_nhwc import TFOpMapperNHWC
-    from x2paddle.optimizer.tf_optimizer import TFOptimizer
+    from x2paddle.optimizer.tensorflow.bias import BiasOpt
+    from x2paddle.optimizer.tensorflow.transpose import TransposeOpt
+    from x2paddle.optimizer.tensorflow.batch_norm import BatchNormOpt
 
     print("Now translating model from tensorflow to paddle.")
     model = TFDecoder(model_path, define_input_shape=define_input_shape)
 
-    mapper = TFOpMapperNHWC(model)
+    mapper = TFOpMapper(model)
     program.build()
+    bias_opt = BiasOpt()
+    transpose_opt = TransposeOpt()
+    batch_norm_opt = BatchNormOpt()
+    bias_opt.run(program)
+    batch_norm_opt.run(program)
+    transpose_opt.run(program)
     program.gen_model(save_dir)
 
 
@@ -172,8 +179,8 @@ def onnx2paddle(model_path, save_dir, params_merge=False):
     try:
         import onnx
         version = onnx.version.version
-        if version != '1.6.0':
-            print("[ERROR] onnx==1.6.0 is required")
+        if version < '1.6.0':
+            print("[ERROR] onnx>=1.6.0 is required")
             return
     except:
         print("[ERROR] onnx is not installed, use \"pip install onnx==1.6.0\".")
@@ -229,11 +236,21 @@ def pytorch2paddle(model_path, save_dir, jit_type, input_files):
 
 
 def paddle2onnx(model_path, save_dir, opset_version=10):
-    from x2paddle.decoder.paddle_decoder import PaddleDecoder
-    from x2paddle.op_mapper.paddle2onnx.paddle_op_mapper import PaddleOpMapper
-    model = PaddleDecoder(model_path, '__model__', '__params__')
-    mapper = PaddleOpMapper()
-    mapper.convert(model.program, save_dir, opset_number=opset_version)
+    import paddle.fluid as fluid
+    try:
+        import paddle2onnx
+    except:
+        print(
+            "[ERROR] paddle2onnx not installed, use \"pip install paddle2onnx\"")
+
+    import paddle2onnx as p2o
+    model = p2o.PaddleDecoder(model_path, '__model__', '__params__')
+    mapper = p2o.PaddleOpMapper()
+    mapper.convert(
+        model.program,
+        save_dir,
+        scope=fluid.global_scope(),
+        opset_version=opset_version)
 
 
 def main():
@@ -304,7 +321,7 @@ def main():
 
     elif args.framework == "paddle2onnx":
         assert args.model is not None, "--model should be defined while translating paddle model to onnx"
-        paddle2onnx(args.model, args.save_dir, args.onnx_opset)
+        paddle2onnx(args.model, args.save_dir, opset_version=args.onnx_opset)
 
     else:
         raise Exception(