export onnx change x2paddle to paddle2onnx

docs/deploy/openvino/export_openvino_model.md

@@ -22,7 +22,7 @@ paddlex --export_inference --model_dir=/path/to/paddle_model --save_dir=./infere
 ```
 cd /root/projects/python
 
-python convertor.py --model_dir /path/to/inference_model --save_dir /path/to/openvino_model --fixed_input_shape [w,h]
+python converter.py --model_dir /path/to/inference_model --save_dir /path/to/openvino_model --fixed_input_shape [w,h]
 ```
 **转换成功后会在save_dir下出现后缀名为.xml、.bin、.mapping三个文件**  
 转换参数说明如下：

paddlex/__init__.py

@@ -29,7 +29,7 @@ from . import det
 from . import seg
 from . import cls
 from . import slim
-from . import convertor
+from . import converter
 from . import tools
 from . import deploy
 

paddlex/command.py

@@ -168,7 +168,7 @@ def main():
             logging.error(
                 "paddlex --export_inference --model_dir model_path --save_dir infer_model"
             )
-        pdx.convertor.export_onnx_model(model, args.save_dir, args.onnx_opset)
+        pdx.converter.export_onnx_model(model, args.save_dir, args.onnx_opset)
 
     if args.data_conversion:
         assert args.source is not None, "--source should be defined while converting dataset"

paddlex/convertor.py → paddlex/converter.py

@@ -37,19 +37,17 @@ def export_onnx_model(model, save_dir, opset_version=10):
             "Only image classifier models, detection models(YOLOv3) and semantic segmentation models(except FastSCNN) are supported to export to ONNX"
         )
     try:
-        import x2paddle
-        if x2paddle.__version__ < '0.7.4':
-            logging.error("You need to upgrade x2paddle >= 0.7.4")
+        import paddle2onnx 
     except:
         logging.error(
-            "You need to install x2paddle first, pip install x2paddle>=0.7.4")
+            "You need to install paddle2onnx first, pip install paddle2onnx")
+    import paddle2onnx as p2o
     if opset_version == 10 and model.__class__.__name__ == "YOLOv3":
         logging.warning(
-            "Export for openVINO by default, the output of multiclass_nms exported to onnx will contains background. If you need onnx completely consistent with paddle, please use X2Paddle to export"
+            "Export for openVINO by default, the output of multiclass_nms exported to onnx will contains background. If you need onnx completely consistent with paddle, please use paddle2onnx to export"
         )
-        x2paddle.op_mapper.paddle2onnx.opset10.paddle_custom_layer.multiclass_nms.multiclass_nms = multiclass_nms_for_openvino
-    from x2paddle.op_mapper.paddle2onnx.paddle_op_mapper import PaddleOpMapper
-    mapper = PaddleOpMapper()
+        p2o.op_mapper.opset9.paddle_custom_layer.multiclass_nms.multiclass_nms = multiclass_nms_for_openvino
+    mapper = p2o.PaddleOpMapper()
     mapper.convert(
         model.test_prog,
         save_dir,