Add paddle_serving_client.io.convert module

doc/SAVE.md

@@ -47,3 +47,8 @@ serving_client (str, optional) - The path of configuration files for client. Def
 model_filename (str, optional) - The name of file to load the inference program. If it is None, the default filename `__model__` will be used. Default: None.
 
 paras_filename (str, optional) - The name of file to load all parameters. It is only used for the case that all parameters were saved in a single binary file. If parameters were saved in separate files, set it as None. Default: None.
+Or you can use a build-in python module called `paddle_serving_client.io.convert` to convert it.
+```python
+python -m paddle_serving_client.io.convert --dirname ./your_inference_model_dir
+```
+Arguments are the same as `inference_model_to_serving` API.

doc/SAVE_CN.md

@@ -48,3 +48,9 @@ serving_client (str, 可选) - 转换后的客户端配置文件存储路径。
 model_filename (str，可选) – 存储需要转换的模型Inference Program结构的文件名称。如果设置为None，则使用 `__model__` 作为默认的文件名。默认值为None。
 
 params_filename (str，可选) – 存储需要转换的模型所有参数的文件名称。当且仅当所有模型参数被保存在一个单独的二进制文件中，它才需要被指定。如果模型参数是存储在各自分离的文件中，设置它的值为None。默认值为None。
+
+或者你可以使用Paddle Serving提供的名为`paddle_serving_client.io.convert`的内置模块进行转换。
+```python
+python -m paddle_serving_client.io.convert --dirname ./your_inference_model_dir
+```
+模块参数与`inference_model_to_serving`接口参数相同。

python/paddle_serving_client/io/convert.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+Usage:
+    Convert a paddle inference model into a model file that can be used for Paddle Serving.
+    Example:
+        python -m paddle_serving_client.io.convert --dirname ./inference_model
+"""
+import argparse
+from . import inference_model_to_serving
+
+
+def parse_args():  # pylint: disable=doc-string-missing
+    parser = argparse.ArgumentParser("convert")
+    parser.add_argument(
+        "--dirname",
+        type=str,
+        required=True,
+        help='Path of saved model files. Program file and parameter files are saved in this directory.'
+    )
+    parser.add_argument(
+        "--serving_server",
+        type=str,
+        default="serving_server",
+        help='The path of model files and configuration files for server. Default: "serving_server".'
+    )
+    parser.add_argument(
+        "--serving_client",
+        type=str,
+        default="serving_client",
+        help='The path of configuration files for client. Default: "serving_client".'
+    )
+    parser.add_argument(
+        "--model_filename",
+        type=str,
+        default=None,
+        help='The name of file to load the inference program. If it is None, the default filename __model__ will be used'
+    )
+    parser.add_argument(
+        "--params_filename",
+        type=str,
+        default=None,
+        help='The name of file to load all parameters. It is only used for the case that all parameters were saved in a single binary file. If parameters were saved in separate files, set it as None. Default: None.'
+    )
+    return parser.parse_args()
+
+
+if __name__ == "__main__":
+    args = parse_args()
+    inference_model_to_serving(
+        args.dirname,
+        serving_server=args.serving_server,
+        serving_client=args.serving_client,
+        model_filename=args.model_filename,
+        params_filename=args.params_filename)