未验证 提交 1607fd68 编写于 作者: J Jiawei Wang 提交者: GitHub

Merge branch 'develop' into update-compile-doc

......@@ -172,6 +172,11 @@ Here, `client.predict` function has two arguments. `feed` is a `python dict` wit
- [An End-to-end tutorial from training to inference service deployment](doc/TRAIN_TO_SERVICE.md)
- [Write Bert-as-Service in 10 minutes](doc/BERT_10_MINS.md)
### Tutorial at AIStudio
- [Introduction to PaddleServing](https://aistudio.baidu.com/aistudio/projectdetail/605819)
- [Image Segmentation on Paddle Serving](https://aistudio.baidu.com/aistudio/projectdetail/457715)
- [Sentimental Analysis](https://aistudio.baidu.com/aistudio/projectdetail/509014)
### Developers
- [How to config Serving native operators on server side?](doc/SERVER_DAG.md)
- [How to develop a new Serving operator?](doc/NEW_OPERATOR.md)
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......@@ -169,6 +169,11 @@ print(fetch_map)
- [端到端完成从训练到部署全流程](doc/TRAIN_TO_SERVICE_CN.md)
- [十分钟构建Bert-As-Service](doc/BERT_10_MINS_CN.md)
### AIStudio教程
- [PaddleServing作业](https://aistudio.baidu.com/aistudio/projectdetail/605819)
- [PaddleServing图像分割](https://aistudio.baidu.com/aistudio/projectdetail/457715)
- [PaddleServing情感分析](https://aistudio.baidu.com/aistudio/projectdetail/509014)
### 开发者教程
- [如何配置Server端的计算图?](doc/SERVER_DAG_CN.md)
- [如何开发一个新的General Op?](doc/NEW_OPERATOR_CN.md)
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......@@ -2,6 +2,20 @@
([简体中文](./INFERENCE_TO_SERVING_CN.md)|English)
We should know something before converting to serving model
**inference_model_dir**:the directory of Paddle inference model
**serving_client_dir**: the directory of server side configuration
**serving_client_dir**: the directory of client side configuration
**model_filename**: this is model description file whose default value is `__model__`, if it's not default name, set `model_filename` explicitly
**params_filename**: during `save_inference_model` every Variable will be save as a single file. If we have the inference model whose params are compressed into one file, please set `params_filename` explicitly
## Example
``` python
......@@ -12,3 +26,11 @@ serving_server_dir = "serving_server_dir"
feed_var_names, fetch_var_names = inference_model_to_serving(
inference_model_dir, serving_client_dir, serving_server_dir)
```
if your model file and params file are both standalone, please use the following api.
```
feed_var_names, fetch_var_names = inference_model_to_serving(
inference_model_dir, serving_client_dir, serving_server_dir,
model_filename="model", params_filename="params")
```
......@@ -4,6 +4,19 @@
## 示例
在下列代码中,我们需要知道以下信息。
**模型文件夹**:这个文件夹就是Paddle的inference_model所在的文件夹
**serving_client_dir**: 这个文件夹是inference_model转换成Serving模型后,服务端配置的保存路径
**serving_client_dir**: 这个文件夹是inference_model转换成Serving模型后,客户端配置的保存路径
**模型描述文件**: 模型描述文件也就是`model_filename`默认值为`__model__`,是一个pb2文本文件,如果是别的文件名需要显式指定
**模型参数文件**: 在`save_inference_model`阶段,默认方式是每一个Variable保存一个二进制文件,如果是这种情况就不需要做指定。如果所有参数用压缩成一个文件的形式保存,则需要显式指定`params_filename`
``` python
from paddle_serving_client.io import inference_model_to_serving
inference_model_dir = "your_inference_model"
......@@ -12,3 +25,9 @@ serving_server_dir = "serving_server_dir"
feed_var_names, fetch_var_names = inference_model_to_serving(
inference_model_dir, serving_client_dir, serving_server_dir)
```
如果模型中有模型描述文件`model_filename` 和 模型参数文件`params_filename`,那么请用
```
feed_var_names, fetch_var_names = inference_model_to_serving(
inference_model_dir, serving_client_dir, serving_server_dir,
model_filename="model", params_filename="params")
```
......@@ -3,7 +3,7 @@
## Get Model
```
python -m paddle_serving_app.package --get_model blazeface
tar -xzvf blazeface.tar.gz
tar -xf blazeface.tar.gz
```
## RPC Service
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