diff --git a/README.md b/README.md
index 8f52f5d64412917a6413a29875e4c8c640e2d5c7..a038c4592795c986a2c7cbe788244f5fe7cab776 100644
--- a/README.md
+++ b/README.md
@@ -66,15 +66,6 @@ For **Windows Users**, please read the document [Paddle Serving for Windows User
Pre-built services with Paddle Serving
-Latest release
-
- Optical Character Recognition
-
- Object Detection
-
- Image Segmentation
-
-
Chinese Word Segmentation
``` shell
@@ -133,7 +124,8 @@ python -m paddle_serving_server.serve --model uci_housing_model --thread 10 --po
| `use_trt` (Only for trt version) | - | - | Run inference with TensorRT |
-``` python
+
+```python
# A user can visit rpc service through paddle_serving_client API
from paddle_serving_client import Client
import numpy as np
diff --git a/README_CN.md b/README_CN.md
index 365caacb12d50490cc5f9753d95f5bb489693340..571b7b00c1252093887a1b5562e03437f51837c4 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -148,7 +148,7 @@ print(fetch_map)
在这里，`client.predict`函数具有两个参数。 `feed`是带有模型输入变量别名和值的`python dict`。 `fetch`被要从服务器返回的预测变量赋值。 在该示例中，在训练过程中保存可服务模型时，被赋值的tensor名为`"x"`和`"price"`。
HTTP服务
-用户也可以将数据格式处理逻辑放在服务器端进行，这样就可以直接用curl去访问服务，参考如下案例，在目录``python/examples/fit_a_line``
+用户也可以将数据格式处理逻辑放在服务器端进行，这样就可以直接用curl去访问服务，参考如下案例，在目录`python/examples/fit_a_line`
```python
from paddle_serving_server.web_service import WebService
diff --git a/doc/BERT_10_MINS.md b/doc/BERT_10_MINS.md
index 53e51768d3eaee6a1faac8d9ae2c62e7f1aa63ee..7b981d7eda467197d1b1b741c35b00c97b74c532 100644
--- a/doc/BERT_10_MINS.md
+++ b/doc/BERT_10_MINS.md
@@ -56,21 +56,25 @@ the script of client side bert_client.py is as follow:
[//file]:#bert_client.py
``` python
-import os
import sys
from paddle_serving_client import Client
+from paddle_serving_client.utils import benchmark_args
from paddle_serving_app.reader import ChineseBertReader
+import numpy as np
+args = benchmark_args()
-reader = ChineseBertReader()
+reader = ChineseBertReader({"max_seq_len": 128})
fetch = ["pooled_output"]
-endpoint_list = ["127.0.0.1:9292"]
+endpoint_list = ['127.0.0.1:9292']
client = Client()
-client.load_client_config("bert_seq20_client/serving_client_conf.prototxt")
+client.load_client_config(args.model)
client.connect(endpoint_list)
for line in sys.stdin:
feed_dict = reader.process(line)
- result = client.predict(feed=feed_dict, fetch=fetch)
+ for key in feed_dict.keys():
+ feed_dict[key] = np.array(feed_dict[key]).reshape((128, 1))
+ result = client.predict(feed=feed_dict, fetch=fetch, batch=False)
```
run
diff --git a/doc/BERT_10_MINS_CN.md b/doc/BERT_10_MINS_CN.md
index e4904d86b6a056ba74b6ed85b47745575b749279..b0578e8e84de7e36694e879e5a64737d275c505c 100644
--- a/doc/BERT_10_MINS_CN.md
+++ b/doc/BERT_10_MINS_CN.md
@@ -52,18 +52,23 @@ pip install paddle_serving_app
``` python
import sys
from paddle_serving_client import Client
+from paddle_serving_client.utils import benchmark_args
from paddle_serving_app.reader import ChineseBertReader
+import numpy as np
+args = benchmark_args()
-reader = ChineseBertReader()
+reader = ChineseBertReader({"max_seq_len": 128})
fetch = ["pooled_output"]
-endpoint_list = ["127.0.0.1:9292"]
+endpoint_list = ['127.0.0.1:9292']
client = Client()
-client.load_client_config("bert_seq20_client/serving_client_conf.prototxt")
+client.load_client_config(args.model)
client.connect(endpoint_list)
for line in sys.stdin:
feed_dict = reader.process(line)
- result = client.predict(feed=feed_dict, fetch=fetch)
+ for key in feed_dict.keys():
+ feed_dict[key] = np.array(feed_dict[key]).reshape((128, 1))
+ result = client.predict(feed=feed_dict, fetch=fetch, batch=False)
```
执行